Departament d'Enginyeria (A-F)

ALAJAMI, ABDUSSALAM ALI ABDUSSALAM

Alajami A.A.; Palau N.; Lopez-Soriano S.; Pous R.. A ROS-based distributed multi-robot localization and orientation strategy for heterogeneous robots. Intelligent Service Robotics 2023; 16(2): p. 177–193.

Pous R, Chindemi M, Alajami A. Showing products in a retail store digital twin with item location captured by an RFID robot. AA. VV.. 2023 IEEE 13th International Conference on RFID Technology and Applications (RFID-TA 2023). 1 ed. Aveiro: IEEE; 2023. p. 189–192.

ALBO PEREZ, LAIA

Nicolaou A.; Soule M.V.; Athanasiou A.; Kakoulli Constantinou E.; Parmaxi A.; Fominykh M.; Perifanou M.; Economides A.; Pedro L.; Albo L.; Hernandez-Leo D.; Wild F.. Doctoral Education in Technology-Enhanced Learning: The Perspective of PhD Candidates and Researchers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2023; 14040 LNCS(0): p. 333–348.

Beardsley M.; Albo L.; Hernandez-Leo D.. A Teacher Professional Development Tool for Creating and Sharing Research Lessons on Evidence-Based Teaching Strategies. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2023; 14200: p. 686–691.

Eradze M.; De Martino D.; Tinterri A.; Albo L.; Bardone E.; Sunar A.S.; Dipace A.. After the pandemic: teacher professional development for the digital educational innovation. Education Sciences 2023; 13(5): p. 0–0.

Beardsley M, Albó L, Hernández-Leo D. A teacher professional development tool for creating and sharing research lessons on evidence-based teaching strategies. Viberg O, Jivet I, Muñoz-Merino PJ, Perifanou M, Papathoma T (eds.). Proceedings Responsive and sustainable educational futures, 18th European Conference on Technology Enhanced Learning, EC-TEL 2023. 1 ed. Aveiro: Cham: Springer; 2023. p. 686–691.

Albó L, Beardsley M. Teacher professional development to help students manage stress: barriers and enablers.. Viberg O, Jivet I, Muñoz-Merino PJ, Perifanou M, Papathoma T (eds.). Proceedings Responsive and sustainable educational futures, 18th European Conference on Technology Enhanced Learning, EC-TEL 2023. 1 ed. Aveiro: Cham: Springer; 2023. p. 524–530.

ALI, RASHID

Rehman A, Hussain FB, Ali R, Khurshaid T. Collision-based Up-link OFDMA Random Access Mechanism for Wi-Fi 6. IEEE Access 2023; p. 0–0.

Shahzad, Ali R, Haider A, Kim HS. Learning-Based Adaptive Sliding-Window RLNC for High Bandwidth-Delay Product Networks. IEEE Access 2023; 111: p. 78835–78844.

Ali R, Bellalta B. A Federated Reinforcement Learning Framework for Link Activation in Multi-Link Wi-Fi Networks. -. 2023 IEEE International Black Sea Conference on Communications and Networking, BlackSeaCom 2023. 1 ed. 2023. p. 360–365.

ALIZADEH, ELHAM

Alizadeh E.; Omairey S.; Zysset P.. Investigating the post-yield behavior of mineralized bone fibril arrays using a 3D non-linear ¿nite element unit-cell model. Journal of the Mechanical Behavior of Biomedical Materials 2023; 139: p. 0–0.

AMARASINGHE, PATHIRANAGE ISHARI UTHPALA

Amarasinghe I.; Marques F.; Ortiz-Beltran A.; Hernandez-Leo D.. Generative Pre-trained Transformers for Coding Text Data? An Analysis with Classroom Orchestration Data. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2023; 14200: p. 32–43.

Ortiz-Beltran A, Hernandez-Leo D, Amarasinghe I. Surviving and thriving: How changes in teaching modalities influenced student satisfaction before, during and after COVID-19. Australasian Journal of Educational Technology 2023; 39(6): p. 72–88.

Theophilou E, Sanchez-Reina R, Hernandez-Leo D, Odakura V, Amarasinghe I, Lobo-Quintero R. The effect of a group awareness tool in synchronous online discussions: studying participation, quality and balance. Behaviour and Information Technology 2023; 43(6): p. 1149–1163.

Hakami E.; Hakami L.; Hernandez-Leo D.; Amarasinghe I.. Triggers of Teacher-Perceived Stressful Moments When Orchestrating Collaborative Learning with Technology. CEUR Workshop Proceedings 2023; 3543: p. 0–0.

Amarasinghe I, Marques F, Ortiz-Beltran A, Hernández-Leo D. Generative pre-trained transformers for coding text data? An analysis with classroom orchestration data. AA. VV.. 18th European Conference on Technology Enhanced Learning (EC-TEL 2023). 1 ed. Aveiro: IEEE; 2023. .

Hernández-Leo D, Amarasinghe I, Beardsley M, Hakami E, Ruiz García A, Santos P. Responsible educational technology research: from open science and open data to ethics and trustworthy learning analytics. Raffaghelli JE, Sangrà A. Data cultures in higher education. 1 ed. Cham: Springer; 2023. p. 179–200.

ANDRZEJAK ., RALPH GREGOR

Bocanegra-Perez AJ, Espinoso A, Andrzejak RG, Camara O. EEG-Based Cardiac Arrest Outcome Estimation with Highly Interpretable Features. Computing in cardiology 2023; p. 0–0.

Andrzejak R.G.; Espinoso A.; Garcia-Portugues E.; Pewsey A.; Epifanio J.; Leguia M.G.; Schindler K.. High expectations on phase locking: Better quantifying the concentration of circular data. Chaos 2023; 33: p. 0–0.

Andrzejak R.G.; Zaveri H.P.; Schulze-Bonhage A.; Leguia M.G.; Stacey W.C.; Richardson M.P.; Kuhlmann L.; Lehnertz K.. Seizure forecasting: Where do we stand?. Epilepsia 2023; 0(0): p. 1–10.

Andrzejak R.G.; Espinoso A.. Chimera states in multiplex networks: Chameleon-like across-layer synchronization. Chaos 2023; 33(5): p. 0–0.

Epifanio J, Andrzejak, RG. The synchronizing power of the external environment on chimera states networks. Russo L, Siettos C. XLIII Dynamics Days Europe. 1 ed. Napols2023. .

ARAGON ASENJO, PABLO

Baigutanova A, Saez-Trumper D, Redi M, Cha M, Aragon P. A comparative study of reference reliability in multiple language editions of Wikipedia. -. International Conference on Information and Knowledge Management, Proceedings. 1 ed. 2023. p. 3743–3747.

BAEZA YATES, RICARDO ALBERTO

Schon E.M.; Neumann M.; Hofmann-Stolting C.; Baeza-Yates R.; Rauschenberger M.. How are AI assistants changing higher education?. Frontiers in Computer Science 2023; 5(0): p. 1–9.

Knott A, Pedreschi D, Chatila R, Chakraborti T, Leavy S, Baeza-Yates R, Eyers D, Trotman A, Teal PD, Biecek P, Russell S, Bengio Y. Generative AI models should include detection mechanisms as a condition for public release. Ethics and Information Technology 2023; 25(4): p. 0–0.

Baeza-Yates R.. LECTURE HELD at the ACADEMIA EUROPAEA BUILDING BRIDGES CONFERENCE 2022. An Introduction to Responsible AI. European Review 2023; 0(0): p. 1–16.

Yfantidou S, Sermpezis P, Vakali A, Baeza-Yates R. Uncovering Bias in Personal Informatics. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 2023; 7(3): p. 1–30.

Scarone B.; Baeza-Yates R.; Bernhardson E.. Understanding Search Behavior Bias in Wikipedia. Communications in Computer and Information Science 2023; 1840 CCIS(0): p. 134–146.

Alonso O, Baeza-Yates R, King TH, Silvello G. Preface. CEUR Workshop Proceedings 2023; 3480(0): p. 1–2.

Tahaei M, Constantinides M, Quercia D, Kennedy S, Muller M, Stumpf S, Liao QV, Baeza-Yates R, Aroyo L, Holbrook J, Luger E, Madaio M, Blumenfeld IG, De-Arteaga M, Vitak J, Olteanu A. Human-Centered Responsible Artificial Intelligence: Current & Future Trends. ACM SIGCHI. Conference on Human Factors in Computing Systems - Proceedings. 1 ed. Association for Computing Machinery; 2023. p. 0–0.

Rohani A.S.; Baeza-Yates R.. Measuring Bias. -. -. 1 ed. -; 2023. p. 1289–1298.

Spaniol M, Baeza-Yates R, Alonso O. 13th Temporal Web Analytics Workshop (TempWeb) Overview. ACM Web Conference. ACM Web Conference 2023 - Proceedings of the World Wide Web Conference, WWW 2023. 1 ed. Association for Computing Machinery, Inc; 2023. p. 0–0.

Trokhymovych M, Aslam M,Chou AJ, Baeza-Yates R, Saez-Trumper D. Fair multilingual vandalism detection system for Wikipedia. -. Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. 1 ed. 2023. p. 4981–4990.

BALLESTER NICOLAU, COLOMA MARIA

Guerrero-Solé F, Ballester C. El impacto de la inteligencia artificial generativa en la disciplina de la comunicación.. Hipertext.net 2023; (26): p. 1–9.

Sanchez M, Triginer G, Ballester C, Raad L, Ramon E. Photorealistic Facial Wrinkles Removal. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2023; 13848 LNCS(0): p. 117–133.

Ballester C.; Carrillo H.; Clement M.; Vitoria P.. Analysis of Different Losses for Deep Learning Image Colorization. -. Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging: Mathematical Imaging and Vision. 1 ed. -; 2023. p. 821–846.

Ballester C, Bugeau A, Hurault S, Parisotto S, Vitoria P. An Analysis of Generative Methods for Multiple Image Inpainting. -. Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging: Mathematical Imaging and Vision. 1 ed. -; 2023. p. 773–820.

Sanchez M, Triginer G, Ballester C, Raad L, Ramon E. Photorealistic Facial Wrinkles Removal. Zheng Y, Yalim Kele¿ H, Koniusz P (eds.). Proceedings of the Asian Conference on Computer Vision (ACCV 2022) Workshops. 1 ed. Macao: Cham: Springer Nature Switzerland; 2023. p. 117–133.

BASEER, IRUM

Baseer I, Valverde I, Moustafa AH, Blat J, Camara O. Evaluation of cinematic volume rendering open-source and commercial solutions for the exploration of congenital heart data. -. Proceedings - 2023 IEEE Visualization Conference - Short Papers, VIS 2023. 1 ed. 2023. p. 76–80.

BATLLE ROCA, ROSER

Batlle-Roca R, Herrera-Boyer P, Melendez-Catalan B, Molina E, Serra X. Towards a characterization of background music audibility in broadcasted TV. International Journal of Environmental Research and Public Health 2023; 20(1): p. 1–15.

Porcaro L.; Batlle-Roc R.; Gomez E.; Melchiorre A.B.. Preface. CEUR Workshop Proceedings 2023; 3528: p. 0–0.

BEARDSLEY ., MARC YOSHIMI

Albó L, Beardsley M. Teacher Professional Development to Help Students Manage Stress: Barriers and Enablers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2023; 14200: p. 524–530.

Beardsley M. Supporting engineering degree student wellbeing with compulsory lessons on stress management. Shih JL, Kashihara A, Chen W, Ogata H (eds.). Proceedings of the 31st International Conference on Computers in Education (ICCE 2023). 1 ed. ICCE; 2023. .

Beardsley M, Hernandez-Leo D, Sánchez-Reina R. Using learning design technologies for teachers' practice-driven research. Shih JL, Kashihara A, Chen W, Ogata H (eds.). Proceedings of the 31st International Conference on Computers in Education (ICCE 2023). 1 ed. ICCE; 2023. p. 892–897.

Beardsley M, Sayis B, Portero Tressera M. Multimodal assessment of an ultra-brief practice of progressive muscular relaxation adapted for the classroom. Shih JL, Kashihara A, Chen W, Ogata H (eds.). Proceedings of the 31st International Conference on Computers in Education (ICCE 2023). 1 ed. ICCE; 2023. p. 167–176.

Sayis B, Beardsley M, Portero-Tresserra M. Multimodal assessment of best possible self as a self-regulatory activity for the classroom.. AA. VV.. 11th International Conference on Affective Computing and Intelligent Interaction (ACII 2023). 1 ed. Cambridge: IEEE; 2023. p. 1–7.

Beardsley M.. Supporting Engineering Degree Student Wellbeing with Compulsory Lessons on Stress Management. -. -. 1 ed. -; 2023. p. 973–975.

Beardsley M.; Sayis B.; Portero-Tresserra M.. Multimodal Assessment of an Ultra-Brief Practice of Progressive Muscular Relaxation Adapted for the Classroom. -. 31st International Conference on Computers in Education, ICCE 2023 - Proceedings. 1 ed. 2023. p. 167–176.

Beardsley M.; Hernandez-Leo D.; Sanchez-Rein R.. Using Learning Design Technologies for Teachers' Practice-Driven Research. -. 31st International Conference on Computers in Education, ICCE 2023 - Proceedings. 1 ed. 2023. p. 892–897.

BECERRA FAJARDO, LAURA

Minguillon J, Tudela-Pi M, Becerra-Fajardo L, Perera-Bel E, Del-Ama AJ, Gil-Agudo A, Megia-Garcia A, Garcia-Moreno A, Ivorra A. Powering electronic implants by high frequency volume conduction: in human validation. IEEE Transactions on Biomedical Engineering 2023; 70(2): p. 659–670.

Becerra-Fajardo L, Minguillon J, Comerma A, Ivorra A. Networks of Injectable Microdevices Powered and Digitally Linked by Volume Conduction for Neuroprosthetics: A Proof-of-Concept. Proceedings of the International IEEE/EMBS Conference on Neural Engineering 2023; 2023-April(0): p. 0–0.

Becerra-Fajardo L, Minguillon J, Comerma A, Ivorra A. Networks of injectable microdevices powered and digitally linked by volume conduction for neuroprosthetics: a proof-of-concept.. AA. VV.. 1th International IEEE/EMBS Conference on Neural Engineering (NER 2023). 1 ed. Baltimore: IEEE; 2023. .

BELLALTA JIMENEZ, BORIS

Carrascosa-Zamacois M.; Galati-Giordano L.; Jonsson A.; Geraci G.; Bellalta B.. Performance and Coexistence Evaluation of IEEE 802.11be Multi-link Operation. Proceedings on IEEE Wireless Communications and Networking Conference 2023; 2023-March(0): p. 0–0.

Bellalta B.; Carrascosa M.; Galati-Giordano L.; Geraci G.. Delay Analysis of IEEE 802.11be Multi-Link Operation under Finite Load. IEEE Wireless Communications Letters 2023; 12(4): p. 595–599.

Gokhale V.; Kroep K.; Prasad R.V.; Bellalta B.; Dressler F.. ViTaLS - A Novel Link-Layer Scheduling Framework for Tactile Internet Over Wi-Fi. IEEE Internet of Things Journal 2023; 10(11): p. 9917–9927.

Michaelides C.; Bellalta B.. Buffer Resets: A Packet-Discarding Policy for Timely Physiological Data Collection in Virtual Reality Gaming Systems. IEEE Sensors Letters 2023; 7(12): p. 0–0.

Wilhelmi F, Galati-Giordano L, Geraci G, Bellalta B, Fontanesi G, Nunez D. Throughput Analysis of IEEE 802.11bn Coordinated Spatial Reuse. -. IEEE Conference on Standards for Communications and Networking. 1 ed. Institute of Electrical and Electronics Engineers; 2023. p. 401–407.

Nunez D, Smith M, Bellalta B. Multi-AP Coordinated Spatial Reuse for Wi-Fi 8: Group Creation and Scheduling. -. 2023 21st Mediterranean Communication and Computer Networking Conference, MedComNet 2023. 1 ed. 2023. p. 203–208.

Michaelides C, Casasnovas M, Marchitelli D, Bellalta B. Is Wi-Fi 6 Ready for Virtual Reality Mayhem? A Case Study Using One AP and Three HMDs. VV.AA.. Proceedings - 2023 IEEE Future Networks World Forum: Future Networks: Imagining the Network of the Future, FNWF 2023. 1 ed. Baltimore: IEEE Future Networks World Forum; 2023. .

Carrascosa-Zamacois M, Geraci G, Galati-Giordano L, Jonsson A, Bellalta B. Understanding Multi-link Operation in Wi-Fi 7: Performance, Anomalies, and Solutions. -. IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC. 1 ed. 2023. .

Duarte EK, Erneberg M, Freitas, EPD, Bellalta B, Vinel A. SafeSmart: A VANET-LTE-based solution for faster and safer response in critical situations. -. IEEE Conference on Standards for Communications and Networking. 1 ed. Institute of Electrical and Electronics Engineers; 2023. p. 47–53.

Duarte EK, Erneberg M, De Freitas EP, Bellalta B, Vinel A. SafeSmart 6G: The Future of Emergency Vehicle Traffic Light Preemption. -. International Conference on 6G Networking, 6GNet 2023. 1 ed. 2023. .

BELLES MUÑOZ, MARTA

Bellés-Muñoz M, Jiménez Urroz J, Silva J. Revisiting Cycles of Pairing-Friendly Elliptic Curves. -. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 1 ed. 2023. p. 3–37.

BEN ZAGHTA, MOHAMED MOSTAFA ALI

Gokdogan BY, Coruk RB, Benzaghta M, Kara A. A Hybrid-Flipped Classroom Approach: Students¿ Perception and Performance Assessment Un enfoque de aula invertida híbrida: evaluación de la opinión y el ren-dimiento de los estudiantes. Journal of Science Education and Technology 2023; 43(3): p. 0–0.

BERNARDINO PEREZ, GABRIEL

Di Folco M.; Dargent T.; Bernardino G.; Clarysse P.; Duchateau N.. Which Anatomical Directions to Quantify Local Right Ventricular Strain in 3D Echocardiography?. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2023; 13958: p. 607–615.

Villanueva M.I.; Garcia-Cañadilla P.; Camara O.; Garcia-Criado A.; Camprecios G.; Perez-Campuzano V.; Hernandez-Gea V.; Turon F.; Baiges A.; Sainz A.L.; Garcia-Pagan J.C.; Bijnens B.; Bernardino G.. Computational Modelling of the Cardiovascular System for the Non-invasive Diagnosis of Portal Hypertension. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2023; 13958: p. 465–474.

Vila-Vidal M.; Khawaja M.; Carreño M.; Roldan P.; Rumia J.; Donaire A.; Deco G.; Tauste Campo A.. Assessing the coupling between local neural activity and global connectivity fluctuations: application to human intracranial electroencephalography during a cognitive task. Human Brain Mapping 2023; 44(3): p. 1173–1192.

Bernardino G.; Dargent T.; Camara O.; Duchateau N.. Strainger Things: Discrete Differential Geometry for Transporting Right Ventricular Deformation Across Meshes. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2023; 13958: p. 338–346.

Rodriguez-Lopez M, Sepulveda-Martinez A, Bernardino G, Crovetto F, Pajuelo C, Sitges M, Bijnens B, Gratacos E, Crispi F. Cardiometabolic sex differences in adults born small for gestational age. Frontiers in Cardiovascular Medicine 2023; 10(0): p. 0–0.

Vellve K.; Sepulveda-Martinez A.; Rodriguez-Lopez M.; Crovetto F.; Bernardino G.; Burgos F.; Faner R.; Agusti A.; Bijnens B.; Gratacos E.; Crispi F.; Blanco I.. Lung function in young adults born small for gestational age at term. Respirology 2023; 28(2): p. 183–186.

Saiz-Vivo M.; Capallera I.; Duchateau N.; Bernardino G.; Piella G.; Camara O.. Localizing Cardiac Dyssynchrony in M-mode Echocardiography with Attention Maps. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2023; 13958(0): p. 688–697.

Bernardino G, Sepulveda-Martinez A, Rodriguez-Lopez M, Prat-Gonzalez S, Pajuelo C, Perea RJ, Caralt MT, Crovetto F, Gonzalez Ballester MA, Sitges M, Bijnens B, Crispi F. Association of central obesity with unique cardiac remodelling in young adults born small for gestational age. European Heart Journal Cardiovascular Imaging 2023; 24(7): p. 930–937.

BIJNENS, BART H

Bueno-Palomeque FL, Mountris KA, Ortigosa N, Bailon R, Bijnens B, Crispi F, Pueyo E, Minchole A, Laguna P. QRS Width and T-Peak to T-End Interval Are Prolonged in Preadolescents with Severe Intrauterine Growth Restriction at Birth when Compared to Controls. Computing in cardiology 2023; 50(0): p. 0–0.

Rao S.; Hasan B.S.; Hoodbhoy Z.; Habib I.; Mohsin S.; Tomredle R.; Ashiqali S.; Tipoo F.A.; Cartoski M.J.; Bijnens B.; Chowdhury D.. Role of myocardial deformation imaging in transfusion-dependent thalassemia¿Correlation with severity of myocardial siderosis. Progress in Pediatric Cardiology 2023; 68(0): p. 0–0.

Mas-Stachurska A.; Bouma B.J.; de Bruin Bon R.; Mulder B.; Bijnens B.; Sitges M.. Cardiac remodeling in patients with Marfan syndrome: impact of gender and vasodilator therapy Remodelado cardiaco asociado con el síndrome de Marfan: impacto del sexo y el tratamiento vasodilatador. Revista Espanola de Cardiologia 2023; 76(1): p. 70–71.

Li KYC, Dejea H, De Winne K, Bonnin A, D'Onofrio V, Cox JA, Garcia-Canadilla P, Lammens M, Cook AC, Bijnens B, Dendooven A. Feasibility and safety of synchrotron-based X-ray phase contrast imaging as a technique complementary to histopathology analysis. Histochemistry and Cell Biology 2023; 160(5): p. 377–389.

Akazawa Y.; Fujioka T.; Yazaki K.; Strbad M.; Horer J.; Kuhn A.; Hui W.; Slorach C.; Roehlig C.; Mertens L.; Bijnens B.H.; Vogt M.; Friedberg M.K.. Right Ventricular Electromechanical Dyssynchrony and Its Relation to Right Ventricular Remodeling, Dysfunction, and Exercise Capacity in Ebstein Anomaly. Journal of the American Society of Echocardiography 2023; 36(6): p. 634–643.

Planinc I.; Ilic I.; Dejea H.; Garcia-Canadilla P.; Gasparovic H.; Jurin H.; Milicic D.; Skoric B.; Stampanoni M.; Bijnens B.; Bonnin A.; Cikes M.. A Novel Three-Dimensional Approach Towards Evaluating Endomyocardial Biopsies for Follow-Up After Heart Transplantation: X-Ray Phase Contrast Imaging and Its Agreement With Classical Histopathology. Transplant International 2023; 36(0): p. 0–0.

Fraser A.G.; Biasin E.; Bijnens B.; Bruining N.; Caiani E.G.; Cobbaert K.; Davies R.H.; Gilbert S.H.; Hovestadt L.; Kamenjasevic E.; Kwade Z.; McGauran G.; O¿Connor G.; Vasey B.; Rademakers F.E.. Artificial intelligence in medical device software and high-risk medical devices¿a review of definitions, expert recommendations and regulatory initiatives. Expert Review of Medical Devices 2023; 20(6): p. 467–491.

Bueno-Palomeque FL, Mountris KA, Ortigosa N, Bailon R, Bijnens B, Crispi F, Pueyo E, Minchole A, Laguna P. QRS-T Angles as Markers for Heart Sphericity in Subjects With Intrauterine Growth Restriction: A Simulation Study. IEEE Journal of Biomedical and Health Informatics 2023; 27(10): p. 4707–4718.

Sanchez-Martinez S, Randanne PC, Hawkins-Villarreal A, Rezaei K, Fucho R, Bobillo-Perez S, Bonet-Carne E, Illa M, Eixarch E, Bijnens B, Crispi F, Gratacos E, Garcia A, Medina J, Moran M, Gomez V, Chorda M, Gispert M, Mata M, de Toledo JS, Pereda D. Acute fetal cardiovascular adaptation to artificial placenta in sheep model. Ultrasound in Obstetrics and Gynecology 2023; 62(2): p. 255–265.

Nogueira M, Bijnens B. AI and Decision Support. -. AI and Big Data in Cardiology: a Practical Guide. 1 ed. 2023. p. 157–170.

BLASI , DAMIAN EZEQUIEL

Shcherbakova O, Michaelis SM, Haynie HJ, Passmore S, Gast V, Gray RD, Greenhill SJ, Blasi DE, Skirgård H. Societies of strangers do not speak less complex languages. Science Advances 2023; 9(33): p. 0–0.

Rutz C, Bronstein M, Raskin A, Vernes SC, Zacarian K, Blasi DE. Using machine learning to decode animal communication: New methods promise transformative insights and conservation benefits. Science 2023; 381(6654): p. 152–155.

Skirgård H, Haynie HJ, Blasi DE, Hammarstrom H, Collins J, Latarche JJ, Lesage J, Weber T, Witzlack-Makarevich A, Passmore S, Chira A, Maurits L, Dinnage R, Dunn M, Reesink G, Singer R, Bowern C, Epps P, Hill J, Vesakoski O, Robbeets M, Abbas NK, Auer D, Bakker NA, Barbos G, Borges RD, Danielsen S, Dorenbusch L, Dorn E, Elliott J, Falcone G, Fischer J, Ghanggo Ate Y, Gibson H, Gobel HP, Goodall JA, Gruner V, Harvey A, Hayes R, Heer L, Herrera Miranda RE, Hubler N, Huntington-Rainey B, Ivani JK, Johns M, Just E, Kashima E, Kipf C, Klingenberg JV, Konig N, Koti A, Kowalik RGA, Krasnoukhova O, Lindvall NLM, Lorenzen M, Lutzenberger H, Martins TRA, German CM, Van Der Meer S, Samame JM, Muller M, Muradoglu S, Neely K, Nickel J, Norvik M, Oluoch CA, Peacock J, Pearey IOC, Peck N, Petit S, Pieper S, Poblete M, Prestipino D, Raabe L, Raja A, Reimringer J, Rey SC, Rizaew J, Ruppert E, Salmon KK, Sammet J, Schembri R, Schlabbach L, Schmidt FWP, Skilton A, Smith WD, de Sousa H, Sverredal K, Valle D, Vera J, Voß J, Witte T, Wu H, Yam S, Ye J, Yong M, Yuditha T, Zariquiey R, Forkel R, Evans N, Levinson SC, Haspelmath M, Greenhill SJ, Atkinson QD, Gray RD. Grambank reveals the importance of genealogical constraints on linguistic diversity and highlights the impact of language loss. Science Advances 2023; 9(16): p. 0–0.

Valentini F, Rosati G, Blasi D, Slezak DF, Altszyler E. On the Interpretability and Significance of Bias Metrics in Texts: a PMI-based Approach. Proceedings of the Conference Annual Meeting of the Association for Computational Linguistics 2023; 2(0): p. 509–520.

Garcia AM, De Leon J, Tee BL, Blasi DE, Gorno-Tempini ML. Speech and language markers of neurodegeneration: a call for global equity. Brain 2023; 146(12): p. 4870–4879.

Shcherbakova O, Gast V, Blasi DE, Skirgård H, Gray RD, Greenhill SJ. A quantitative global test of the complexity trade-off hypothesis: The case of nominal and verbal grammatical marking. Linguistics Vanguard 2023; 9(1): p. 155–167.

Haynie HJ, Blasi D, Skirgard H, Greenhill SJ, Atkinson QD, Gray RD. Grambank's typological advances support computational research on diverse languages. Beinborn L, Goswami K, Murado¿lu S, Sorokin A, Kumar R, Shcherbakov A, Ponti ME, Cotterell R, Vylomova E. Proceedings of the 5th Workshop on Research in Computational Linguistic Typology and Multilingual NLP. 1 ed. Association for Computational Linguistics; 2023. p. 147–149.

BLAT GIMENO, JOSE ANGEL

Marichal S, Rosales A, González Perilli F, Pires AC, Blat J. Auditory and haptic feedback to train basic mathematical skills of children with visual impairments. Behaviour and Information Technology 2023; 42(8): p. 1081–1109.

Vandeghinste V, Shterionov D, De Sisto M, Brady A, De Coster M, Leeson L, Blat J, Picron F, Scipioni MP, Parikh A, ten Bosch L, O¿Flaherty J, Dambre J, Rijckaert J, Vanroy B, Nogales VU, Egea Gomez S, Schuurman I, Labaka G, Núñez-Marcos A, Murtagh I, McGill E, Saggion H. SignON Sign Language Translation: Progress and Challenges. -. Proceedings of the 24th Annual Conference of the European Association for Machine Translation, EAMT 2023. 1 ed. 2023. p. 501–502.

BOCANEGRA PEREZ, ALVARO JOSE

Bocanegra-Perez AJ, Espinoso A, Andrzejak RG, Camara O. EEG-Based Cardiac Arrest Outcome Estimation with Highly Interpretable Features. Computing in cardiology 2023; p. 0–0.

Bocanegra-Perez AJ, Penela D, Sebastian R, Jimenez-Perez G, Saglietto A, Soto-Iglesias D, Berruezo A, Piella G, Camara O. Automatic Prediction of the Origin in Outflow Tract Ventricular Arrhythmias with Machine Learning Combining Clinical Data and Electrocardiogram Analysis. Computing in cardiology 2023; p. 0–0.

BOGDANOV KONDRATIEV, DMITRY

Alonso-Jiménez P, Favory X, Foroughmand H, Bourdalas G, Serra X, Lidy T, Bogdanov D. Pre-Training Strategies Using Contrastive Learning and Playlist Information for Music Classification and Similarity. AA. VV.. Proceedings 2023 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2023). 1 ed. Island of Rhodes: IEEE Signal Processing Society; 2023. p. 1–5.

Plachouras C, Alonso-Jiménez P, Bogdanov D. A Representation Evaluation Framework for Music Information Retrieval Tasks. AA. VV.. Proceedings Machine Learning for Audio Workshop, Neural Information Processing Systems (NeurIPS 2023). 1 ed. New Orleans: Neural Information Processing Systems Foundation; 2023. p. 1–7.

Manco I, Weck B, Doh S, Zhang Y, Bogdanov D, Wu Y, Chen K, Tovstogan P, Benetos E, Quinton E, Fazekas G, Nam J, Won M. The Song Describer Dataset: a Corpus of Audio Captions for Music-and-Language Evaluation. AA. VV.. Proceedings NeurIPS 2023 Workshop on Machine Learning for Audio. 1 ed. New Orleans: Neural Information Processing Systems; 2023. p. 1–13.

BONATTI ., LUCA LORENZO

Bonatti L, Bohus K, Cesana-Arlotti N, Martín-Salguero A. The scope and role of deduction in infant cognition. Current Biology 2023; S0960(9822): p. 01071–0.

Martin-Salguero A.; Reverberi C.; Solari A.; Filippin L.; Pallier C.; Bonatti L.L.. Seeing inferences: brain dynamics and oculomotor signatures of non-verbal deduction. Scientific Reports 2023; (13): p. 0–0.

Canudas-Grabolosa I, Martín-Salguero A, Bonatti LL. Natural logic and baby LoTH. The Behavioral and brain sciences 2023; 46: p. 0–0.

BONET BRETTO, BLAI TIRANT

Ståhlberg S, Bonet B, Geffner H. Learning General Policies with Policy Gradient Methods. Proceedings. International Conference on Principles of Knowledge Representation and Reasoning 2023; 0(0): p. 647–657.

Ståhlberg S, Bonet B, Geffner H. Learning General Policies with Policy Gradient Methods. -. Proceedings of the International Conference on Knowledge Representation and Reasoning. 1 ed. 2023. p. 647–657.

BUDA, TEODORA SANDRA

Buda T.S.; Khwaja M.; Garriga R.; Matic A.. Two edges of the screen: Unpacking positive and negative associations between phone use in everyday contexts and subjective well-being. PloS one 2023; 18(4 April): p. 0–0.

BUSLON VALDEZ, NATALY

Buslón N, Cortés A, Catuara-Solarz S, Cirillo D, Rementeria MJ. Raising awareness of sex and gender bias in artificial intelligence and health. Frontiers in Global Women's Health 2023; 4: p. 0–0.

Martínez-Costa MP, López-Pan F, Buslón N, Salaverría R. Nobody-fools-me perception: Influence of Age and Education on Overconfidence About Spotting Disinformation. Journalism Practice 2023; 17(10): p. 2084–2102.

Badillo-Matos A, Baldi V, Arteaga F, Paisana M, Crespo M, Cardoso G, Rementería MJ, Philippe O, Calvo B, Buslón N, Hernández-Escayola P, Gómez-Romero J, Molina-Solana M. Analysis of the impact of disinformation on political, economic, social and security issues, governance models and good practices: the cases of Spain and Portugal. -. IBERIFIER. 1 ed. 2023. .

CALVERA ISABAL, MIRIAM

Calvera-Isabal M.; Santos P.; Hoppe H.U.; Schulten C.. Cómo automatizar la extracción y análisis de información sobre ciencia ciudadana con propósitos educativos. Comunicar 2023; 31(74): p. 1–13.

Calvera-Isabal M, Santos P, Hernandez-Leo D. Towards Citizen Science-Inspired Learning Activities: The Co-design of an Exploration Tool for Teachers Following a Human-Centred Design Approach. International Journal of Human-Computer Interaction 2023; p. 1–22.

CALVO FULLANA, MIGUEL

Chamon LFO, Paternain S, Calvo-Fullana M, Ribeiro A. Constrained Learning with Non-Convex Losses. IEEE Transactions on Information Theory 2023; 69(3): p. 0–0.

Paternain S, Calvo-Fullana M, Chamon LFO, Ribeiro A. Safe Policies for Reinforcement Learning via Primal-Dual Methods. IEEE Transactions on Automatic Control 2023; 68(3): p. 0–0.

Calvo-Fullana M, Paternain S, Chamon LFO, Ribeiro A. State Augmented Constrained Reinforcement Learning: Overcoming the Limitations of Learning With Rewards. IEEE Transactions on Automatic Control 2023; 69(7): p. 0–0.

CAMARA REY, OSCAR

Albors C, Olivares AL, Iriart X, Cochet H, Mill J, Camara O. Impact of Blood Rheological Strategies on the Optimization of Patient-Specific LAAO Configurations for Thrombus Assessment. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2023; 13958(0): p. 485–494.

Cresti A.; Camara O.. Left Atrial Thrombus¿Are All Atria and Appendages Equal?. Cardiac Electrophysiology Clinics 2023; 15(2): p. 119–132.

Bocanegra-Perez AJ, Espinoso A, Andrzejak RG, Camara O. EEG-Based Cardiac Arrest Outcome Estimation with Highly Interpretable Features. Computing in cardiology 2023; p. 0–0.

Strik M.; Sacristan B.; Bordachar P.; Duchateau J.; Eschalier R.; Mondoly P.; Laborderie J.; Gassa N.; Zemzemi N.; Laborde M.; Garrido J.; Matencio Perabla C.; Jimenez-Perez G.; Camara O.; Haissaguerre M.; Dubois R.; Ploux S.. Artificial intelligence for detection of ventricular oversensing: Machine learning approaches for noise detection within nonsustained ventricular tachycardia episodes remotely transmitted by pacemakers and implantable cardioverter-defibrillators. Heart Rhythm 2023; 20(10): p. 1378–1384.

Payette K.; Li H.B.; de Dumast P.; Licandro R.; Ji H.; Siddiquee M.M.R.; Xu D.; Myronenko A.; Liu H.; Pei Y.; Wang L.; Peng Y.; Xie J.; Zhang H.; Dong G.; Fu H.; Wang G.; Rieu Z.H.; Kim D.; Kim H.G.; Karimi D.; Gholipour A.; Torres H.R.; Oliveira B.; VilaCa J.L.; Lin Y.; Avisdris N.; Ben-Zvi O.; Bashat D.B.; Fidon L.; Aertsen M.; Vercauteren T.; Sobotka D.; Langs G.; Alenya M.; Villanueva M.I.; Camara O.; Fadida B.S.; Joskowicz L.; Weibin L.; Yi L.; Xuesong L.; Mazher M.; Qayyum A.; Puig D.; Kebiri H.; Zhang Z.; Xu X.; Wu D.; Liao K.; Wu Y.; Chen J.; Xu Y.; Zhao L.; Vasung L.; Menze B.; Cuadra M.B.; Jakab A.. Fetal brain tissue annotation and segmentation challenge results. Medical Image Analysis 2023; 88(0): p. 0–0.

Penela D.; Falasconi G.; Carreño J.M.; Soto-Iglesias D.; Fernandez-Armenta J.; Acosta J.; Marti-Almor J.; Benito B.; Bellido A.; Chauca A.; Scherer C.; Viveros D.; Alderete J.; Silva E.; Ordoñez A.; Francisco-Pascual J.; Rivas-Gandara N.; Meca-Santamaria J.; Franco P.; De Lucia C.; Ali H.; Cappato R.; Camara O.; Francia P.; Berruezo A.. A hybrid clinical and electrocardiographic score to predict the origin of outflow tract ventricular arrhythmias. Journal of Interventional Cardiac Electrophysiology 2023; 0(0): p. 0–0.

Comte V, Alenyà M, Urru A, Nakaki A, Crovetto F, Camara O, Eixarch E, Crispi F, Piella G, Ceresa M, González Ballester MA. Unsupervised segmentation of fetal brain MR images using multi-atlas segmentation and cascaded registration. International Journal of Computer Assisted Radiology and Surgery 2023; 18: p. 97–98.

Zhao D.; Ferdian E.; Maso Talou G.D.; Quill G.M.; Gilbert K.; Wang V.Y.; Babarenda Gamage T.P.; Pedrosa J.; D¿hooge J.; Sutton T.M.; Lowe B.S.; Legget M.E.; Ruygrok P.N.; Doughty R.N.; Camara O.; Young A.A.; Nash M.P.. MITEA: A dataset for machine learning segmentation of the left ventricle in 3D echocardiography using subject-specific labels from cardiac magnetic resonance imaging. Frontiers in Cardiovascular Medicine 2023; 9(0): p. 0–0.

Falasconi G.; Penela D.; Soto-Iglesias D.; Francia P.; Teres C.; Viveros D.; Bellido A.; Alderete J.; Meca-Santamaria J.; Franco P.; Ordoñez A.; Diaz-Escofet M.; Matiello M.; Maldonado G.; Scherer C.; Huguet M.; Camara O.; Ortiz-Perez J.T.; Marti-Almor J.; Berruezo A.. Preventive substrate ablation in chronic post-myocardial infarction patients with high-risk scar characteristics for ventricular arrhythmias: rationale and design of PREVENT-VT study. Journal of Interventional Cardiac Electrophysiology 2023; 66(1): p. 39–47.

Cetin I, Stephens M, Camara O, Gonzalez Ballester MA. Attri-VAE: attribute-based interpretable representations of medical images with variational autoencoders. Computerized Medical Imaging and Graphics 2023; 104: p. 1–13.

Falasconi G.; Penela D.; Soto-Iglesias D.; Francia P.; Teres C.; Saglietto A.; Jauregui B.; Viveros D.; Bellido A.; Alderete J.; Meca-Santamaria J.; Franco P.; Gaspardone C.; Antonio R.S.; Huguet M.; Camara O.; Ortiz-Perez J.T.; Marti-Almor J.; Berruezo A.. Personalized pulmonary vein antrum isolation guided by left atrial wall thickness for persistent atrial fibrillation. Europace 2023; 25(5): p. 0–0.

Moustafa AH, Camara O, Leta R. Artificial intelligence in cardiac CT. -. Intelligence-Based Cardiology and Cardiac Surgery: Artificial Intelligence and Human Cognition in Cardiovascular Medicine. 1 ed. 2023. p. 185–190.

Duchateau N, Camara O, Sebastian R, King A. Analysis of Non-imaging Data. -. AI and Big Data in Cardiology: a Practical Guide. 1 ed. 2023. p. 183–200.

Serra D, Franco P, Romero P, Romitti G, García-Fernández I, Lozano M, Liberos A, Penela D, Berruezo A, Camara O, Rodrigo M, Sebastian R. Assessment of Risk for Ventricular Tachycardia based on Extensive Electrophysiology Simulations. -. Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS. 1 ed. 2023. .

CARRASCOSA ZAMACOIS, MARC

CASTELLVÍ FERNANDEZ, QUIM

Domenjo-Vila E, Casella V, Iwabuchi R, Fossum E, Pedragosa M, Castellví Q, Cebollada Rica P, Kaisho T, Terahara K, Bocharov G, Argilaguet J, Meyerhans A. XCR1+ DCs are critical for T cell-mediated immunotherapy of chronic viral infections. Cell Reports 2023; 42(2): p. 0–0.

Domenjo-Vila E.; Casella V.; Iwabuchi R.; Fossum E.; Pedragosa M.; Castellvi Q.; Cebollada Rica P.; Kaisho T.; Terahara K.; Bocharov G.; Argilaguet J.; Meyerhans A.. XCR1+ DCs are critical for T cell-mediated immunotherapy of chronic viral infections. Cell Reports 2023; 42(2): p. 112123–0.

Verma A, Zhong P, Castellvi Q, Girouard S, Metta V, Neal RE. Thermal Profiles for Focal Pulsed Electric Field Ablation. JACC: Clinical Electrophysiology 2023; 9(9): p. 1854–1863.

Sandhu U, Alkukhun L, Kheiri B, Hodovan J, Chiang K, Splanger T, Castellvi Q, Zhao Y, Nazer B. In vivo pulsed-field ablation in healthy vs. chronically infarcted ventricular myocardium: biophysical and histologic characterization. Europace 2023; 25(4): p. 1503–1509.

Verma A, Neal R, Evans J, Castellvi Q, Vachani A, Deneke T, Nakagawa H. Characteristics of pulsed electric field cardiac ablation porcine treatment zones with a focal catheter. Journal of Cardiovascular Electrophysiology 2023; 34(1): p. 99–107.

Alkukhun L, Sandhu U, Hodovan J, Zhao Y, Chiang K, Castellvi Q, Stenzel P, Woltjer R, Li X, Barajas RF, Nazer B. Multi-modality imaging assessment of microbubbles and cerebral emboli in left ventricular pulsed field ablation. Journal of Interventional Cardiac Electrophysiology 2023; 0(0): p. 0–0.

CASTILLO OCARANZA, CARLOS ALBERTO ALEJANDRO

Barnabò G, Siciliano F, Castillo C, Leonardi S, Nakov P, Da San Martino G, Silvestri F. Deep active learning for misinformation detection using geometric deep learning. Online Social Networks and Media 2023; 33: p. 0–0.

Porcaro L, Castillo C, Gomez E, Vinagre J. Fairness and Diversity in Information Access Systems. CEUR Workshop Proceedings 2023; 3442: p. 1–4.

Porcaro L.; Castillo C.; Gomez E.; Vinagre J.. Fairness and Diversity in Information Access Systems. CEUR Workshop Proceedings 2023; 3442(0): p. 0–0.

Merchant A, Castillo C. Disparity, Inequality, and Accuracy Tradeoffs in Graph Neural Networks for Node Classification. -. International Conference on Information and Knowledge Management, Proceedings. 1 ed. 2023. p. 1818–1827.

Fabbri F, Wang Y, Bonchi F, Castillo C, Mathioudakis M. Rewiring What-to-Watch-Next Recommendations to Reduce Radicalization Pathways (Extended Abstract). -. IJCAI International Joint Conference on Artificial Intelligence. 1 ed. 2023. p. 6431–6435.

Aroyo L, Castillo C, Houben GJ. Foreword from the Program Chairs. ACM Web Conference. ACM Web Conference 2023 - Proceedings of the World Wide Web Conference, WWW 2023. 1 ed. Association for Computing Machinery, Inc; 2023. .

Bilionis I, Fernandez-Luque L, Castillo C. A Survey on Public Data Sets Related to Chronic Diseases. -. Proceedings - IEEE Symposium on Computer-Based Medical Systems. 1 ed. 2023. p. 917–920.

CHIRANJEEVI, KARRI

Chiranjeevi K Santinha J, Papanikolaou N. A Short Review: Semantic Segmentation for Breast Cancer Detection in MRI Images. IETE Journal of Research 2023; p. 1–15.

Chiranjeevi K, Da Silva JM, Correia MV. Key Indicators to Assess the Performance of LiDAR-Based Perception Algorithms: A Literature Review. IEEE Access 2023; 11(0): p. 109142–109168.

Finney Daniel Shadrach S, Shiny Pershiya A, Shirley Stevany Faryl A, Balasamy K, Chiranjeevi K. Challenges and Opportunities Associated with Homomorphic Encryption for Financial Cryptography. Seethalakshmi V, Kumar Dhanaraj R, Suganyadevi S, Ouaissa M. Homomorphic Encryption for Financial Cryptography. Recent Inventions and Challenges. 1 ed. Springer; 2023. p. 85–105.

CIARRUSTA MONZON, JUDIT

Ciarrusta J, Arichi T. Neurobiology and the connectome. -. Connectome Analysis: Characterization, Methods, and Analysis. 1 ed. 2023. p. 3–23.

CLERICO, EUGENIO

Clerico E, Deligiannidis G, Doucet A. Wide stochastic networks: Gaussian limit and PAC-Bayesian training. Proceedings of Machine Learning Research 2023; 201: p. 447–470.

CRESPO BOJORQUE, PAOLA FERNANDA

Santolin C.; Crespo-Bojorque P.; Sebastian-Galles N.; Toro J.M.. Sensitivity to the sonority sequencing principle in rats (Rattus norvegicus). Scientific Reports 2023; 13: p. 0–0.

DALMAU LLORET, VICTOR

Ten Cate B.; Dalmau V.; Funk M.; Lutz C.. Extremal Fitting Problems for Conjunctive Queries. -. -. 1 ed. -; 2023. p. 89–98.

DANILOV, VIACHESLAV

Danilov VV, Klyshnikov KY, Onishenko PS, Proutski A, Gankin Y, Melgani F, Ovcharenko EA. Perfect prosthetic heart valve: generative design with machine learning, modeling, and optimization. Frontiers in Bioengineering and Biotechnology 2023; 11(0): p. 0–0.

Ovcharenko E, Kutikhin A, Gruzdeva O, Kuzmina A, Slesareva T, Brusina E, Kudasheva S, Bondarenko T, Kuzmenko S, Osyaev N, Ivannikova N, Vavin G, Moses V, Danilov V, Komossky E, Klyshnikov K. Cardiovascular and Renal Comorbidities Included into Neural Networks Predict the Outcome in COVID-19 Patients Admitted to an Intensive Care Unit: Three-Center, Cross-Validation, Age- and Sex-Matched Study. Journal of Cardiovascular Development and Disease 2023; 10(2): p. 0–0.

Danilov VV, Kolpashchikov DY, Gerget OM, Laptev NV, Proutski A, Hernandez Gomez LA, Alvarez F, Ledesma-Carbayo MJ. Use of semi-synthetic data for catheter segmentation improvement. Computerized Medical Imaging and Graphics 2023; 106(0): p. 0–0.

DAZA FERNANDEZ, VANESA

Rawat A, Daza V, Signorini M. Not Enough IoT After All: Visiting Transactional Characteristics of IoT Blockchains. CEUR Workshop Proceedings 2023; 3460: p. 0–0.

McMenamin C, Daza V. An AMM minimizing user-level extractable value and loss-versus-rebalancing. CEUR Workshop Proceedings 2023; 3460: p. 0–0.

Preetam S, Compastie M, Daza V, Siddiqui S. An Approach for Intelligent Behaviour-Based Threat Modelling with Explanations. -. 2023 IEEE Conference on Network Function Virtualization and Software Defined Networks, NFV-SDN 2023 - Proceedings. 1 ed. 2023. p. 197–200.

DECO ., GUSTAVO RICARDO

Marti-Juan G.; Sastre-Garriga J.; Martinez-Heras E.; Vidal-Jordana A.; Llufriu S.; Groppa S.; Gonzalez-Escamilla G.; Rocca M.A.; Filippi M.; Høgestøl E.A.; Harbo H.F.; Foster M.A.; Toosy A.T.; Schoonheim M.M.; Tewarie P.; Pontillo G.; Petracca M.; Rovira A.; Deco G.; Pareto D.. Using The Virtual Brain to study the relationship between structural and functional connectivity in patients with multiple sclerosis: a multicenter study. Cerebral Cortex 2023; 33(12): p. 7322–7334.

Mana L.; Vila-Vidal M.; Kockeritz C.; Aquino K.; Fornito A.; Kringelbach M.L.; Deco G.. Using in silico perturbational approach to identify critical areas in schizophrenia. Cerebral Cortex 2023; 33(12): p. 7642–7658.

Clusella P.; Deco G.; Kringelbach M.L.; Ruffini G.; Garcia-Ojalvo J.. Complex spatiotemporal oscillations emerge from transverse instabilities in large-scale brain networks. PLoS Computational Biology 2023; 19(4): p. 0–0.

Grabenhorst F.; Ponce-Alvarez A.; Battaglia-Mayer A.; Deco G.; Schultz W.. A view-based decision mechanism for rewards in the primate amygdala. Neuron 2023; 111: p. 3871–3884.

Vohryzek J.; Cabral J.; Castaldo F.; Sanz-Perl Y.; Lord L.D.; Fernandes H.M.; Litvak V.; Kringelbach M.L.; Deco G.. Dynamic sensitivity analysis: defining personalised strategies to drive brain state transitions via whole brain modelling. Computational and Structural Biotechnology Journal 2023; (21): p. 335–345.

Deco G.; Sanz Perl Y.; Ponce-Alvarez A.; Tagliazucchi E.; Whybrow P.C.; Fuster J.; Kringelbach M.L.. One ring to rule them all: The unifying role of prefrontal cortex in steering task-related brain dynamics. Progress in Neurobiology 2023; 227(0): p. 0–0.

Rolls E.T.; Rauschecker J.P.; Deco G.; Huang C.C.; Feng J.. Auditory cortical connectivity in humans. Cerebral Cortex 2023; 33(10): p. 6207–6227.

Capouskova K.; Zamora-Lopez G.; Kringelbach M.L.; Deco G.. Integration and segregation manifolds in the brain ensure cognitive flexibility during tasks and rest. Human Brain Mapping 2023; 44(18): p. 6349–6363.

Rolls E.T.; Deco G.; Huang C.C.; Feng J.. The human orbitofrontal cortex, vmPFC, and anterior cingulate cortex effective connectome: emotion, memory, and action. Cerebral Cortex 2023; p. 0–0.

Alonso S, Tyborowska A, Ikani N, Mocking RJT, Figueroa CA, Schene AH, Deco G, Kringelbach ML, Cabral J, Ruhe HG. Depression recurrence is accompanied by longer periods in default mode and more frequent attentional and reward processing dynamic brain-states during resting-state activity. Human Brain Mapping 2023; 44(17): p. 5770–5783.

Bonetti L.; Brattico E.; Bruzzone S.E.P.; Donati G.; Deco G.; Pantazis D.; Vuust P.; Kringelbach M.L.. Brain recognition of previously learned versus novel temporal sequences: a differential simultaneous processing. Cerebral Cortex 2023; 33(9): p. 5524–5537.

Perl Y.S.; Zamora-Lopez G.; Montbrio E.; Monge-Asensio M.; Vohryzek J.; Fittipaldi S.; Campo C.G.; Moguilner S.; Ibañez A.; Tagliazucchi E.; Yeo B.T.T.; Kringelbach M.L.; Deco G.. The impact of regional heterogeneity in whole-brain dynamics in the presence of oscillations. Network Neuroscience 2023; 7(2): p. 632–660.

Sanchez-Todo R.; Bastos A.M.; Lopez-Sola E.; Mercadal B.; Santarnecchi E.; Miller E.K.; Deco G.; Ruffini G.. A physical neural mass model framework for the analysis of oscillatory generators from laminar electrophysiological recording. NeuroImage 2023; (270): p. 1–15.

Ruffini G.; Damiani G.; Lozano-Soldevilla D.; Deco N.; Rosas F.E.; Kiani N.A.; Ponce-Alvarez A.; Kringelbach M.L.; Carhart-Harris R.; Deco G.. LSD-induced increase of Ising temperature and algorithmic complexity of brain dynamics.. PLoS Computational Biology 2023; 19(2): p. 0–0.

Lawn T.; Howard M.A.; Turkheimer F.; Misic B.; Deco G.; Martins D.; Dipasquale O.. From neurotransmitters to networks: transcending organisational hierarchies with molecular-informed functional imaging. Neuroscience and Biobehavioral Reviews 2023; (150): p. 0–0.

Perl Y.S.; Mininni P.; Tagliazucchi E.; Kringelbach M.L.; Deco G.. Scaling of whole-brain dynamics reproduced by high-order moments of turbulence indicators. Physical Review Research 2023; 5: p. 0–0.

Castaldo F.; Pascoa dos Santos F.; Timms R.C.; Cabral J.; Vohryzek J.; Deco G.; Woolrich M.; Friston K.; Verschure P.; Litvak V.. Multi-modal and multi-model interrogation of large-scale functional brain networks. NeuroImage 2023; 277: p. 1–24.

Kringelbach M.L.; Perl Y.S.; Tagliazucchi E.; Deco G.. Toward naturalistic neuroscience: Mechanisms underlying the flattening of brain hierarchy in movie-watching compared to rest and task. Science Advances 2023; 9(2): p. 0–0.

Panda R, Lopez-Gonzalez A, Gilson M, Gosseries O, Thibaut A, Frasso G, Cecconi B, Escrichs A, Deco G, Laureys S, Zamora-Lopez G, Annen J. Whole-brain analyses indicate the impairment of posterior integration and thalamo-frontotemporal broadcasting in disorders of consciousness. Human Brain Mapping 2023; 44(11): p. 4352–4371.

De La Fuente LA, Zamberlan F, Bocaccio H, Kringelbach M, Deco G, Perl YS, Pallavicini C, Tagliazucchi E. Temporal irreversibility of neural dynamics as a signature of consciousness. Cerebral Cortex 2023; 33(5): p. 1856–1865.

Deco G.; Sanz Perl Y.; de la Fuente L.; Sitt J.D.; Yeo B.T.T.; Tagliazucchi E.; Kringelbach M.L.. The arrow of time of brain signals in cognition: Potential intriguing role of parts of the default mode network. Network Neuroscience 2023; 7(3): p. 966–998.

Luppi A.I.; Cabral J.; Cofre R.; Mediano P.A.M.; Rosas F.E.; Qureshi A.Y.; Kuceyeski A.; Tagliazucchi E.; Raimondo F.; Deco G.; Shine J.M.; Kringelbach M.L.; Orio P.; Ching S.N.; Sanz Perl Y.; Diringer M.N.; Stevens R.D.; Sitt J.D.. Computational modelling in disorders of consciousness: Closing the gap towards personalised models for restoring consciousness. NeuroImage 2023; 275(0): p. 0–0.

Ponce-Alvarez A.; Kringelbach M.L.; Deco G.. Critical scaling of whole-brain resting-state dynamics. Communications Biology 2023; 6(1): p. 0–0.

Tewarie P.K.B.; Hindriks R.; Lai Y.M.; Sotiropoulos S.N.; Kringelbach M.; Deco G.. Non-reversibility outperforms functional connectivity in characterisation of brain states in MEG data.. NeuroImage 2023; (276): p. 1–10.

Cruzat J.; Herzog R.; Prado P.; Sanz-Perl Y.; Gonzalez-Gomez R.; Moguilner S.; Kringelbach M.L.; Deco G.; Tagliazucchi E.; Ibañez A.. Temporal irreversibility of large-scale brain dynamics in Alzheimer's disease. Journal of Neuroscience 2023; 43(9): p. 1643–1656.

Escrichs A.; Sanz Perl Y.; Martinez-Molina N.; Biarnes C.; Garre-Olmo J.; Fernandez-Real J.M.; Ramos R.; Marti R.; Pamplona R.; Brugada R.; Serena J.; Ramio-Torrenta L.; Coll-De-Tuero G.; Gallart L.; Barretina J.; Vilanova J.C.; Mayneris-Perxachs J.; Saba L.; Pedraza S.; Kringelbach M.L.; Puig J.; Deco G.. The effect of external stimulation on functional networks in the aging healthy human brain. Cerebral Cortex 2023; p. 0–0.

Rolls E.T.; Deco G.; Huang C.C.; Feng J.. Prefrontal and somatosensory-motor cortex effective connectivity in humans. Cerebral Cortex 2023; p. 0–0.

Guzman E.G.; Perl Y.S.; Vohryzek J.; Escrichs A.; Manasova D.; Turker B.; Tagliazucchi E.; Kringelbach M.; Sitt J.D.; Deco G.. The lack of temporal brain dynamics asymmetry as a signature of impaired consciousness states. Interface Focus 2023; 13(3): p. 1–15.

Deco G.; Liebana Garcia S.; Sanz Perl Y.; Sporns O.; Kringelbach M.L.. The effect of turbulence in brain dynamics information transfer measured with magnetoencephalography. Communications Physics 2023; (6): p. 1–8.

Perl Y.S.; Fittipaldi S.; Campo C.G.; Moguilner S.; Cruzat J.; Fraile-Vazquez M.E.; Herzog R.; Kringelbach M.L.; Deco G.; Prado P.; Ibanez A.; Tagliazucchi E.. Model-based whole-brain perturbational landscape of neurodegenerative diseases. eLife 2023; (12): p. 0–0.

Idesis S.; Allegra M.; Vohryzek J.; Sanz Perl Y.; Faskowitz J.; Sporns O.; Corbetta M.; Deco G.. A low dimensional embedding of brain dynamics enhances diagnostic accuracy and behavioral prediction in stroke. Scientific Reports 2023; 13: p. 0–0.

Rolls E.T.; Deco G.; Huang C.C.; Feng J.. Multiple cortical visual streams in humans. Cerebral Cortex 2023; p. 0–0.

Rolls E.T.; Deco G.; Huang C.C.; Feng J.. Human amygdala compared to orbitofrontal cortex connectivity, and emotion. Progress in Neurobiology 2023; 220(0): p. 0–0.

Bergoin R.; Torcini A.; Deco G.; Quoy M.; Zamora-Lopez G.. Inhibitory neurons control the consolidation of neural assemblies via adaptation to selective stimuli. Scientific Reports 2023; 13(1): p. 1–17.

Rolls E.T.; Deco G.; Zhang Y.; Feng J.. Hierarchical organization of the human ventral visual streams revealed with magnetoencephalography. Cerebral Cortex 2023; 33: p. 10686–10701.

Schirner M.; Deco G.; Ritter P.. Learning how network structure shapes decision-making for bio-inspired computing. Nature Communications 2023; (14): p. 0–0.

Padilla N, Escrichs A, Del Agua E, Kringelbach M, Donaire A, Deco G, Åden U. Disrupted resting-sate brain network dynamics in children born extremely preterm. Cerebral Cortex 2023; 33(13): p. 8101–8109.

Rolls E.T.; Wirth S.; Deco G.; Huang C.C.; Feng J.. The human posterior cingulate, retrosplenial, and medial parietal cortex effective connectome, and implications for memory and navigation. Human Brain Mapping 2023; 44(2): p. 629–655.

Eraifej J.; Cabral J.; Fernandes H.M.; Kahan J.; He S.; Mancini L.; Thornton J.; White M.; Yousry T.; Zrinzo L.; Akram H.; Limousin P.; Foltynie T.; Aziz T.Z.; Deco G.; Kringelbach M.; Green A.L.. Modulation of limbic resting-state networks by subthalamic nucleus deep brain stimulation. Network Neuroscience 2023; 7(2): p. 478–495.

Perl Y.S.; Pallavicini C.; Piccinini J.; Demertzi A.; Bonhomme V.; Martial C.; Panda R.; Alnagger N.; Annen J.; Gosseries O.; Ibañez A.; Laufs H.; Sitt J.D.; Jirsa V.K.; Kringelbach M.L.; Laureys S.; Deco G.; Tagliazucchi E.. Low-dimensional organization of global brain states of reduced consciousness. Cell Reports 2023; 42(5): p. 0–0.

Patow G.; Stefanovski L.; Ritter P.; Deco G.; Kobeleva X.. Whole-brain modeling of the differential influences of amyloid-beta and tau in Alzheimer¿s disease. Alzheimer's Research and Therapy 2023; 15(1): p. 0–0.

Deco G.; Lynn C.W.; Sanz Perl Y.; Kringelbach M.L.. Violations of the fluctuation-dissipation theorem reveal distinct non-equilibrium dynamics of brain states. Physical Review E 2023; 108(6): p. 0–0.

Rolls E.T.; Deco G.; Huang C.C.; Feng J.. The human posterior parietal cortex: effective connectome, and its relation to function. Cerebral Cortex 2023; 33: p. 3142–3170.

De La Fuente L.A.; Zamberlan F.; Bocaccio H.; Kringelbach M.; Deco G.; Perl Y.S.; Pallavicini C.; Tagliazucchi E.. Temporal irreversibility of neural dynamics as a signature of consciousness. Cerebral Cortex 2023; p. 0–0.

Cunnington D.; Law M.; Lobo J.; Russo A.. FFNSL: Feed-Forward Neural-Symbolic Learner. Machine Learning 2023; 112(2): p. 515–569.

DUSTDAR , SCHAHRAM

Shen X.; Jiang H.; Liu D.; Yang K.; Deng F.; Zhang T.; Xiao Z.; Lui J.C.S.; Liu J.; Dustdar S.; Luo J.. PupilHeart: Heart Rate Variability Monitoring via Pupillary Fluctuations on Mobile Devices. IEEE Internet of Things Journal 2023; 0(0): p. 1–12.

Li Y.; Wang X.; Zeng R.; Yang M.; Li K.; Huang M.; Dustdar S.. VARF: An Incentive Mechanism of Cross-silo Federated Learning in MEC. IEEE Internet of Things Journal 2023; 0(0): p. 1–19.

Lu Y.; Tang X.; Liu L.; Yu F.R.; Dustdar S.. Speeding at the Edge: An Efficient and Secure Redactable Blockchain for IoT-based Smart Grid Systems. IEEE Internet of Things Journal 2023; 10(14): p. 12886–12897.

Liu J.; Peng C.; Sun R.; Liu L.; Zhang N.; Dustdar S.; Leung V.C.M.. CPAHP: Conditional Privacy-Preserving Authentication Scheme With Hierarchical Pseudonym for 5G-Enabled IoV. IEEE Transactions on Vehicular Technology 2023; 72(7): p. 8929–8940.

Govori E, Murturi I, Dustdar S. A Comprehensive Performance Evaluation of Procedural Geometry Workloads on Resource-Constrained Devices. IEEE International Conference on Edge Computing 2023; 0(0): p. 271–279.

Xiao Z.; Shu J.; Jiang H.; Lui J.C.S.; Min G.; Liu J.; Dustdar S.. Multi-Objective Parallel Task Offloading and Content Caching in D2D-aided MEC Networks. IEEE Transactions on Mobile Computing 2023; p. 0–0.

Dai X.; Xiao Z.; Jiang H.; Alazab M.; Lui J.C.S.; Min G.; Dustdar S.; Liu J.. Task Offloading for Cloud-Assisted Fog Computing With Dynamic Service Caching in Enterprise Management Systems. IEEE Transactions on Industrial Informatics 2023; 19(1): p. 662–672.

Casamayor Pujol V.; Morichetta A.; Murturi I.; Kumar Donta P.; Dustdar S.. Fundamental Research Challenges for Distributed Computing Continuum Systems. Information (Switzerland) 2023; 14(3): p. 1–10.

Yang J, Yang K, Xiao Z, Jiang H, Xu S, Dustdar S. Improving Commute Experience for Private Car Users via Blockchain-Enabled Multitask Learning. IEEE Internet of Things Journal 2023; 10(24): p. 21656–21669.

Sedlak B, Pujol VC, Donta PK, Dustdar S. Designing Reconfigurable Intelligent Systems with Markov Blankets. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2023; 14419(0): p. 42–50.

Zhu S, Yu T, Xu T, Chen H, Dustdar S, Gigan S, Gunduz D, Hossain E, Jin Y, Lin F, Liu B, Wan Z, Zhang J, Zhao Z, Zhu W, Chen Z, Durrani TS, Wang H, Wu J, Zhang T, Pan Y. Intelligent Computing: The Latest Advances, Challenges and Future. International Journal of Intelligent Computing and Cybernetics 2023; p. 1–90.

Donta P.K.; Sedlak B.; Casamayor Pujol V.; Dustdar S.. Governance and sustainability of distributed continuum systems: a big data approach. Journal of Big Data 2023; 10(1): p. 0–0.

Guo H.; Xu M.; Zhang J.; Liu C.; Yu D.; Dustdar S.; Cheng X.. FileDAG: A Multi-Version Decentralized Storage Network Built on DAG-based Blockchain. IEEE Transactions on Computers 2023; 0(0): p. 1–12.

Gounaris A.; Michailidou A.V.; Dustdar S.; Dustdar S.. Toward Building Edge Learning Pipelines. IEEE Internet Computing 2023; 27(1): p. 61–69.

Sun D, Hu J, Wu H, Wu J, Yang J, Sheng QZ, Dustdar S. A Comprehensive Survey on Collaborative Data-access Enablers in the IIoT. ACM Computing Surveys 2023; 56(2): p. 0–0.

Duran A, Fernandez P, Garcia JM, Dustdar S, Dustdar S. FIDES: A Proposal for Federated Accountability in the Compute Continuum. IEEE Internet Computing 2023; 27(5): p. 33–42.

Guo P, Xiao X, Hecker A, Dustdar S. An Efficient Graph-Based IOTA Tangle Generation Algorithm. IEEE International Conference on Communications: proceedings 2023; 0(0): p. 4816–4821.

Hazra A.; Donta P.K.; Amgoth T.; Dustdar S.. Cooperative Transmission Scheduling and Computation Offloading with Collaboration of Fog and Cloud for Industrial IoT Applications. IEEE Internet of Things Journal 2023; p. 1–1.

Chen C.; Yao G.; Liu L.; Pei Q.; Song H.; Dustdar S.. A Cooperative Vehicle-Infrastructure System for Road Hazards Detection With Edge Intelligence. IEEE Transactions on Intelligent Transportation Systems 2023; 24(5): p. 5186–5198.

Li K.; Wang X.; He Q.; Yang M.; Huang M.; Dustdar S.. Task Computation Offloading for Multi-Access Edge Computing via Attention Communication Deep Reinforcement Learning. IEEE Transactions on Services Computing 2023; 0(0): p. 1–15.

Pujol VC, Donta PK, Morichetta A, Murturi I, Dustdar S. Edge Intelligence - Research Opportunities for Distributed Computing Continuum Systems. IEEE Internet Computing 2023; 27(4): p. 53–74.

Mou Y.; Guo F.; Lu W.; Li Y.; Beyan O.; Rose T.; Dustdar S.; Decker S.. Towards FAIR Data in Distributed Machine Learning Systems. - 2023; 0(0): p. 6450–6455.

Dai X.; Xiao Z.; Jiang H.; Chen H.; Min G.; Dustdar S.; Cao J.. A Learning-based Approach for Vehicle-to-Vehicle Computation Offloading. IEEE Internet of Things Journal 2023; p. 0–0.

Yang Y.; Ma M.; Wu H.; Yu Q.; You X.; Wu J.; Peng C.; Yum T.S.P.; Aghvami A.H.; Li G.Y.; Wang J.; Liu G.; Gao P.; Tang X.; Cao C.; Thompson J.; Wong K.K.; Chen S.; Wang Z.; Debbah M.; Dustdar S.; Eliassen F.; Chen T.; Duan X.; Sun S.; Tao X.; Zhang Q.; Huang J.; Zhang W.; Li J.; Gao Y.; Zhang H.; Chen X.; Ge X.; Xiao Y.; Wang C.X.; Zhang Z.; Ci S.; Mao G.; Li C.; Shao Z.; Zhou Y.; Liang J.; Li K.; Wu L.; Sun F.; Wang K.; Liu Z.; Yang K.; Wang J.; Gao T.; Shu H.. 6G Network AI Architecture for Everyone-Centric Customized Services. IEEE Network 2023; 0(0): p. 1–10.

Raith P.; Nastic S.; Dustdar S.. Serverless Edge Computing - Where We Are and What Lies Ahead. IEEE Internet Computing 2023; 27(3): p. 50–64.

Xiang Z.; Zheng Y.; Zheng Z.; Deng S.; Guo M.; Dustdar S.. Cost-Effective Traffic Scheduling and Resource Allocation for Edge Service Provisioning. IEEE/ACM Transactions on Networking 2023; 0(0): p. 1–16.

Casamayor Pujol V.; Donta P.K.; Morichetta A.; Murturi I.; Dustdar S.. Distributed Computing Continuum Systems . Opportunities and Research Challenges. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2023; 13821 LNCS(0): p. 405–407.

Zhou M.; Liu L.; Sun Y.; Wang K.; Dong M.; Atiquzzaman M.; Dustdar S.. On Vehicular Ad-Hoc Networks With Full-Duplex Radios: An End-to-End Delay Perspective. IEEE Transactions on Intelligent Transportation Systems 2023; 0(0): p. 1–11.

Xiao Z.; Li H.; Jiang H.; Li Y.; Alazab M.; Zhu Y.; Dustdar S.. Predicting Urban Region Heat via Learning Arrive-Stay-Leave Behaviors of Private Cars. IEEE Transactions on Intelligent Transportation Systems 2023; 0(0): p. 1–14.

Feng J.; Bao S.; Xu X.; Zhang Z.; Hou P.; Steyskal F.; Dustdar S.. Rotating machinery fault diagnosis based on feature extraction via an unsupervised graph neural network. Applied Intelligence 2023; 0(0): p. 0–0.

Li K.; Wang X.; He Q.; Ni Q.; Yang M.; Dustdar S.. Computation Offloading for Tasks with Bound Constraints in Multi-access Edge Computing. IEEE Internet of Things Journal 2023; 14(8): p. 1–11.

Xu Y, Feng Z, Xing M, Wu H, Chen S, Xue X, Dustdar S. Metapath-guided multi-headed attention networks for trust prediction in heterogeneous social networks. Knowledge-Based Systems 2023; 282(0): p. 0–0.

Zhao H.; Deng S.; Chen F.; Yin J.; Dustdar S.; Zomaya A.Y.. Learning to Schedule Multi-Server Jobs with Fluctuated Processing Speeds. IEEE Transactions on Parallel and Distributed Systems 2023; 34(1): p. 234–245.

Zhang Z.; Hu J.; Xu X.; Wang G.; Dustdar S.; Chen S.. Functional importance evaluation approach for cloud manufacturing services based on complex network and evidential reasoning rule. Computers and Industrial Engineering 2023; (175): p. 1–14.

Sharghivand N.; Mashayekhy L.; Ma W.; Dustdar S.. Time-Constrained Service Handoff for Mobile Edge Computing in 5G. IEEE Transactions on Services Computing 2023; p. 1–13.

Xing R.; Ma X.; Zhou A.; Dustdar S.; Wang S.. From earth to space: A first deployment of 5G core network on satellite. China Communications 2023; 20(4): p. 315–325.

Raith P, Rausch T, Furutanpey A, Dustdar S. faas-sim: A trace-driven simulation framework for serverless edge computing platforms. Software - Practice and Experience 2023; 53(12): p. 2327–2361.

Xiao M, Wang Z, Zhao Y, Geng G, Dustdar S, Donta PK, Ji G. A new fault feature extraction method of rolling bearings based on the improved self-selection ICEEMDAN-permutation entropy. ISA Transactions 2023; 143(0): p. 536–547.

Altarrazi S, Szydlo T, Dustdar S, Srirama SN, Ranjan R, Dustdar S. Addressing the Faults Landscape in the Internet of Things: Toward Datacentric and System Resilience. IEEE Internet Computing 2023; 27(6): p. 43–51.

Dai X, Xiao Z, Jiang H, Lei M, Min G, Liu J, Dustdar S. Offloading Dependent Tasks in Edge Computing With Unknown System-Side Information. IEEE Transactions on Services Computing 2023; 16(6): p. 4345–4359.

Donta PK, Murturi I, Casamayor Pujol V, Sedlak B, Dustdar S. Exploring the Potential of Distributed Computing Continuum Systems. Computers 2023; 12(10): p. 0–0.

Xiao T, Chen C, Dong M, Ota K, Liu L, Dustdar S. Multi-Agent Reinforcement Learning-Based Trading Decision-Making in Platooning-Assisted Vehicular Networks. IEEE/ACM Transactions on Networking 2023; 0(0): p. 1–16.

Sedlak B, Pujol VC, Donta PK, Werner S, Wolf K, Falconi M, Pallas F, Dustdar S, Tai S, Plebani P. Towards Serverless Data Exchange Within Federations. Communications in Computer and Information Science 2023; 1847(0): p. 144–153.

Huang Y, Wang H, Qiao X, Su X, Li Y, Dustdar S, Zhang P. SCAXR: Empowering Scalable Multi-User Interaction for Heterogenous XR Devices. IEEE Network 2023; 0(0): p. 1–1.

Cao H.; Jiang H.; Liu D.; Wang R.; Min G.; Liu J.; Dustdar S.; Lui J.C.S.. LiveProbe: Exploring Continuous Voice Liveness Detection via Phonemic Energy Response Patterns. IEEE Internet of Things Journal 2023; p. 1–14.

Karagiannis V.; Frangoudis P.A.; Dustdar S.; Schulte S.. Context-Aware Routing in Fog Computing Systems. IEEE Transactions on Cloud Computing 2023; 0(0): p. 0–0.

Iftikhar S.; Gill S.S.; Song C.; Xu M.; Aslanpour M.S.; Toosi A.N.; Du J.; Wu H.; Ghosh S.; Chowdhury D.; Golec M.; Kumar M.; Abdelmoniem A.M.; Cuadrado F.; Varghese B.; Rana O.; Dustdar S.; Uhlig S.. AI-based fog and edge computing: A systematic review, taxonomy and future directions. IEEE Internet of Things Journal 2023; 21: p. 1–41.

Arleo A.; Tsigkanos C.; Leite R.A.; Dustdar S.; Miksch S.; Sorger J.. Visual Exploration of Financial Data with Incremental Domain Knowledge. Computer Graphics Forum 2023; p. 1–16.

Zhang X.; Xu X.; Li J.; Luo Y.; Wang G.; Brunauer G.; Dustdar S.. Observer-based H fuzzy fault-tolerant switching control for ship course tracking with steering machine fault detection. ISA Transactions 2023; 0(0): p. 0–0.

Cao H.; Jiang H.; Yang K.; Chen S.; Wu W.; Liu J.; Dustdar S.. Data Augmentation-Enabled Continuous User Authentication via Passive Vibration Response. IEEE Internet of Things Journal 2023; 0(0): p. 1–15.

Ravi B, Varghese B, Murturi I, Donta PK, Dustdar S, Dehury CK, Srirama SN. Stochastic Modeling for Intelligent Software-Defined Vehicular Networks: A Survey. Computers 2023; 12(8): p. 0–0.

Aiello M, Barzen J, Dustdar S, Leymann F. Preface. Communications in Computer and Information Science 2023; 1847(0): p. 5–6.

Morichetta A, Pusztai T, Vij D, Pujol VC, Raith P, Xiong Y, Nastic S, Dustdar S, Zhang Z. Demystifying deep learning in predictive monitoring for cloud-native SLOs. IEEE International Conference on Cloud Computing (CLOUD) 2023; 0(0): p. 24–34.

Donta PK, Dustdar S. Towards Intelligent Data Protocols for the Edge. IEEE International Conference on Edge Computing 2023; 0(0): p. 372–380.

Sedlak B, Murturi I, Donta PK, Dustdar S. A Privacy Enforcing Framework for Data Streams on the Edge. IEEE Transactions on Emerging Topics in Computing 2023; 0(0): p. 1–12.

Zhu Y.; Huang Y.; Qiao X.; Tan Z.; Bai B.; Ma H.; Dustdar S.. A Semantic-Aware Transmission with Adaptive Control Scheme for Volumetric Video Service. IEEE Transactions on Multimedia 2023; p. 1–13.

Dustdar S.; Pujol V.C.; Donta P.K.. On Distributed Computing Continuum Systems. IEEE Transactions on Knowledge and Data Engineering 2023; p. 1–1.

Dai X.; Xiao Z.; Jiang H.; Alazab M.; Lui J.C.S.; Dustdar S.; Liu J.. Task Co-Offloading for D2D-Assisted Mobile Edge Computing in Industrial Internet of Things. IEEE Transactions on Industrial Informatics 2023; 19(1): p. 480–490.

Guo F.; Xiao X.; Hecker A.; Dustdar S.. A Theoretical Model Characterizing Tangle Evolution in IOTA Blockchain Network. IEEE Internet of Things Journal 2023; 10(2): p. 1259–1273.

Murturi I, Donta PK, Dustdar S. Community AI: Towards Community-based Federated Learning. -. IEEE International Conference on Cognitive Machine Intelligence (CogMI). 1 ed. -; 2023. p. 141–149.

Bekbulatova V, Morichetta A, Dustdar S. FL-SERENADE: Federated Learning for SEmi-supeRvisEd Network Anomaly DEtection. A Case Study. -. IEEE International Symposium on Dependable, Autonomic and Secure Computing (DASC). 1 ed. -; 2023. p. 1072–1079.

Pujol VC, Dustdar S. Towards a Prime Directive of SLOs. -. Software Services Engineering (SSE) IEEE International Conference on. 1 ed. -; 2023. p. 61–70.

Avasalcai C.; Dustdar S.. Edge Computing:Use Cases and Research Challenges. -. Digital Transformation: Core Technologies and Emerging Topics from a Computer Science Perspective. 1 ed. Berlin: Springer; 2023. p. 125–142.

Pusztai T, Nastic S, Raith P, Dustdar S, Vij D, Xiong Y. Vela: A 3-Phase Distributed Scheduler for the Edge-Cloud Continuum. -. IEEE International Conference on Cloud Engineering (IC2E). 1 ed. -; 2023. p. 161–172.

Morichetta A, Pujol VC, Nastic S, Dustdar S, Vij D, Xiong Y, Zhang Z. PolarisProfiler: A Novel Metadata-Based Profiling Approach for Optimizing Resource Management in the Edge-Cloud Continnum. -. 2023 IEEE International Conference on Service-Oriented System Engineering (SOSE). 1 ed. -; 2023. p. 27–36.

Beheshti A, Yang J, Sheng QZ, Benatallah B, Casati F, Dustdar S, Nezhad HRM, Zhang X, Xue S. ProcessGPT: Transforming Business Process Management with Generative Artificial Intelligence. -. IEEE International Conference on Web Services (ICWS). 1 ed. -; 2023. p. 731–739.

Morichetta A, Spring N, Raith P, Dustdar S. Intent-based Management for the Distributed Computing Continuum. -. 2023 IEEE International Conference on Service-Oriented System Engineering (SOSE). 1 ed. -; 2023. p. 239–249.

Murturi I, Donta PK, Pujol VC, Morichetta A, Dustdar S. Learning-Driven Zero Trust in Distributed Computing Continuum Systems. -. IEEE International Symposium on Dependable, Autonomic and Secure Computing (DASC). 1 ed. -; 2023. p. 44–49.

Furutanpey A, Barzen J, Bechtold M, Dustdar S, Leymann F, Raith P, Truger F. Architectural Vision for Quantum Computing in the Edge-Cloud Continuum. -. Quantum Software (QSW), IEEE International Conference on. 1 ed. -; 2023. p. 88–103.

Hu J, Jiang H, Liu D, Xiao Z, Cao H, Qi Y, Dustdar S, Liu J. EarSonar: An Acoustic Signal-Based Middle-Ear Effusion Detection Using Earphones. -. International Conference on Distributed Computing Systems. 1 ed. -; 2023. p. 225–235.

Sedlak B, Pujol VC, Donta PK, Dustdar S. Controlling Data Gravity and Data Friction: From Metrics to Multidimensional Elasticity Strategies. -. Software Services Engineering (SSE) IEEE International Conference on. 1 ed. -; 2023. p. 43–49.

EGEA GOMEZ, SANTIAGO

McGill E, Chiruzzo L, Gómez SE, Saggion H. Part-of-Speech tagging Spanish Sign Language data and its applications in Sign Language machine translation. -. RESOURCEFUL 2023 - Workshop on Resources and Representations for Under-Resourced Languages and Domains, Proceedings of the 2nd. 1 ed. 2023. p. 70–76.

ESCRICHS MARTINEZ, ANIRA

Atasoy S, Escrichs A, Stark E, Kendra GMT, Camara E, Sanjuan A, Chandaria S, Deco G, Morten LK. The meditative brain: State and trait changes in harmonic complexity for long-term mindfulness meditators. bioRxiv 2023; p. 0–0.

ESPINOSO PALACIN, ANAÏS

Bocanegra-Perez AJ, Espinoso A, Andrzejak RG, Camara O. EEG-Based Cardiac Arrest Outcome Estimation with Highly Interpretable Features. Computing in cardiology 2023; p. 0–0.

Andrzejak R.G.; Espinoso A.. Chimera states in multiplex networks: Chameleon-like across-layer synchronization. Chaos 2023; 33(5): p. 0–0.

ESTIVILL CASTRO, VLADIMIR

Pedreira O, Estivill-Castro V. Preface. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2023; 14289(0): p. 5–6.

McColl C.; Estivill-Castro V.; McColl M.; Hexel R.. Decomposable and Executable Models for Verification of Real-Time Systems. Communications in Computer and Information Science 2023; 1708: p. 135–136.

FERRO, DEMETRIO

Ferro D, Rifé A, Cash-Padgett T, Wang MZ, Hayden B, Moreno-Bote R. The role of gaze for value encoding and recollection in orbitofrontal corteX. D. Ferro, Anna Rifé, T. Cash-Padgett, M. Z. Wang, B. Hayden and R. Moreno-Bote,. Conference on Cognitive Computational Neuroscience 2023. 1 ed. Oxford: Computational Neuroscience Society; 2023. .

FLYNN, HAMISH EDWARD

Flynn H, Reeb D, Kandemir M, Peters J. PAC-Bayes Bounds for Bandit Problems: A Survey and Experimental Comparison. IEEE Transactions on Pattern Analysis and Machine Intelligence 2023; 45(12): p. 15308–15327.

FONT CORBERA, FREDERIC

Anthon G, Lizarraga-Seijas X, Font F. PYWDF: an open source library for prototyping and simulating wave filter circuits in Python. Proceedings of the International Conference on Digital Audio Effects 2023; 1: p. 335–341.

Turchet L, Lagrange M, Rottondi C, Fazekas G, Peters N, Ostergaard J, Font F, Backstrom T, Fischione C. The Internet of Sounds: convergent trends, insights and future directions. IEEE Internet of Things Journal 2023; 10(13): p. 11264–11292.

FONT SEGURA, JOSEP

Truong LV, Cocco G, Font-Segura J, Guillén i Fàbregas A. Concentration properties of random codes. IEEE Transactions on Information Theory 2023; 69(12): p. 7499–7537.

Cocco G.; Guillen I Fabregas A.; Font-Segura J.. Typical Error Exponents: A Dual Domain Derivation. IEEE Transactions on Information Theory 2023; p. 1–1.