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2023 (7)

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( ).

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

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

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

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

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

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. In: ACM SIGCHI. Conference on Human Factors in Computing Systems - Proceedings. 1 ed. Association for Computing Machinery; 2023.

2022 (16)

Szemenyei M.; Estivill-Castro V.. Fully neural object detection solutions for robot soccer. Neural Computing and Applications 2022; 34(24): 21419-21432.

Hertweck C.; Castillo C.; Mathioudakis M.. Designing Affirmative Action Policies under Uncertainty. Journal of Learning Analytics 2022; 9(2): 121-137.

Spaniol M, Baeza-Yates R, Alonso O. 12th Temporal Web Analytics Workshop (TempWeb) Overview. In: -. -. 1 ed. -; 2022.

Portela M, Castillo C, Tolan S, Karimi-Haghighi M, Pueyo A. A. A Comparative User Study of Human Predictions in Algorithm-Supported Recidivism Risk Assessment. Cornell University; 2022.

Karimi-Haghighi M, Castillo C, Hernandez-Leo D. A causal inference study on the effects of first year workload on the dropout rate of undergraduates. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2022; ( ): 15-27.

Rauschenberger M.; Baeza-Yates R.; Rello L.. A Universal Screening Tool for Dyslexia by a Web-Game and Machine Learning. Frontiers in Computer Science 2022; (3).

Estivill-Castro V, Gilmore E, Hexel R. Constructing explainable classifiers from the start: enabling human-in-the loop machine learning.. Information (Switzerland) 2022; 13(10): 1-25.

Zehlike M.; Suhr T.; Baeza-Yates R.; Bonchi F.; Castillo C.; Hajian S.. Fair Top-k Ranking with multiple protected groups. Information processing & management 2022; 59(102707).

Buda TS, Guerreiro J, Omana Iglesias J, Castillo C, Smith O, Matic A. Foundations for fairness in digital health apps. Frontiers in Digital Health 2022; 4(0): 1-15.

Pandey R, Purohit H, Castillo C, Shalin VL. Modeling and mitigating human annotation errors to design efficient stream processing systems with human-in-the-loop machine learning. International Journal of Human Computer Studies 2022; 160( ).

Porcaro L, Gomez E, Castillo C. Perceptions of Diversity in Electronic Music: the Impact of Listener, Artist, and Track Characteristics. Proceedings of the ACM on Human-Computer Interaction 2022; 6(109): 1-26.

Baeza-Yates R, Estevez-Almenzar M. The Relevance of Non-Human Errors in Machine Learning. CEUR Workshop Proceedings 2022; 3169(0): 1-6.

Lorini V, Rufolo P, Castillo C. Venice Was Flooding - One Tweet at a Time. Proceedings of the ACM on Human-Computer Interaction 2022; 6(0).

Barnabo G.; Siciliano F.; Castillo C.; Leonardi S.; Nakov P.; Da San Martino G.; Silvestri F.. FbMultiLingMisinfo: Challenging Large-Scale Multilingual Benchmark for Misinformation Detection. In: -. -. 1 ed. -; 2022. p. 1-8.

Baeza-Yates R.; Villoslada P.. Human vs. Artificial Intelligence. In: IEEE. 2022 IEEE 4th International Conference on Cognitive Machine Intelligence (CogMI). 1 ed. IEEE; 2022. p. 40-48.

Porcaro L.; Gomez E.; Castillo C.. Diversity in the music listening experience: insights from focus group interviews. In: AA. VV.. CHIIR '22: ACM SIGIR Conference on Human Information Interaction and Retrieval;. 1 ed. Regensburg: ACM; 2022. p. 272-276.

2021 (16)

Ramirez-Cifuentes D.; Freire A.; Baeza-Yates R.; Lamora N.S.; Alvarez A.; Gonzalez-Rodriguez A.; Rochel M.L.; Vives R.L.; Velazquez D.A.; Gonfaus J.M.; Gonzalez J.. Characterization of Anorexia Nervosa on Social Media: Textual, Visual, Relational, Behavioral, and Demographical Analysis. Journal of Medical Internet Research 2021; 23(7): 1-40.

Javaid M.; Estivill-Castro V.. Explanations from a Robotic Partner Build Trust on the Robot's Decisions for Collaborative Human-Humanoid Interaction. Robotics 2021; 10(1): 1-23.

Rauschenberger M.; Baeza-Yates R.. How to handle health-related small imbalanced data in machine learning?. i-com 2021; 19(3).

Ramirez-Cifuentes D.; Freire A.; Baeza-Yates R.; Lamora N.S.; Alvarez A.; Gonzalez-Rodriguez A.; Rochel M.L.; Vives R.L.; Velazquez D.A.; Gonfaus J.M.; Gonzalez J.. Erratum: Characterization of anorexia nervosa on social media: Textual, visual, relational, behavioral, and demographical analysis (Journal of Medical Internet Research (2021) 23:10 (e33447) DOI: 10.2196/25925). Journal of Medical Internet Research 2021; 23(10).

Porcaro L, Castillo C, Gomez E. Diversity by design in music recommender systems. Transactions of the International Society for Music Information Retrieval. Transactions of the International Society for Music Information Retrieval 2021; 4(1): 114-126.

Ramirez-Cifuentes D.; Largeron C.; Tissier J.; Baeza-Yates R.; Freire A.. Enhanced Word Embedding Variations for the Detection of Substance Abuse and Mental Health Issues on Social Media Writings. IEEE Access 2021; (9): 130449-130471.

Miron M, Tolan S, Gomez E, Castillo C. Evaluating causes of algorithmic bias in juvenile criminal recidivism. Artificial Intelligence and Law 2021; ( ).

Hupont I, Tolan S, Freire A, Porcaro L, Estevez S, Gómez E. How diverse is the ACII community? Analysing gender, geographical and business diversity of affective computing research. International Conference on Affective Computing and Intelligent Interaction 2021; ( ).

Gilmore E.; Estivill-Castro V.; Hexel R.. More Interpretable Decision Trees. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2021; 12886( ): 280-292.

Reza KJ, Islam MZ, Estivill-Castro V. Privacy protection of online social network users, against attribute inference attacks, through the use of a set of exhaustive rules. Neural Computing and Applications 2021; 33(19): 12397-12427.

Li L, Aldosery A, Vitiugin F, Nathan N, Novillo-Ortiz D, Castillo C, Kostkova P. The Response of governments and public health agencies to COVID-19 pandemics on social media: a multi-country analysis of Twitter discourse. Frontiers in Public Health 2021; (9): 1-14.

Lorini V, Peterson S, Purohit H, De Albuquerque JP, Castillo C, Rufolo P, Pajarito D, Buntain C. Social media for emergency management: Opportunities and challenges at the intersection of research and practice. In: -. -. 1 ed. -; 2021. p. 772-777.

Seneviratne O, Singh V, Freire A, Luo J-D. WebSci 21 Companion. In: AA.VV.. ACM International Conference Proceedings Series. 1 ed. Association for Computing Machinery; 2021. p. 3-4.

Solans D, Biggio B, Castillo C. Poisoning Attacks on Algorithmic Fairness. In: Hutter F, Kersting K, Lijffijt J, Valera I. Machine Learning and Knowledge Discovery in Databases (LNCS, volume 12458). 1 ed. Springer; 2021. p. 162-177.

Solans D, Fabbri F, Calsamiglia C, Castillo C, Bonchi F. Comparing Equity and Effectiveness of Different Algorithms in an Application for the Room Rental Market. In: Marion Fourcade, Association for Computing Machinery Special Interest Group on Artificial Intelligence. Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society. 1 ed. Association for Computing Machinery; 2021. p. 978-988.

Karimi-Haghighi M, Castillo C. Efficiency and fairness in recurring data-driven risk assessments of violent recidivism. In: Chih-Cheng Hung, ACM Special Interest Group on Applied Computing. SAC '21: Proceedings of the 36th Annual ACM Symposium on Applied Computing. 1 ed. Association for Computing Machinery; 2021. p. 994-1002.

2020 (26)

Tsalouchidou I, Bonchi F, Baeza-Yates R. Adaptive Community Search in Dynamic Networks. In: -. -. 1 ed. -; 2020. p. 987-995.

Rello L.; Baeza-Yates R.; Ali A.; Bigham J.P.; Serra M.. Predicting risk of dyslexia with an online gamified test. PLoS ONE 2020; 15(12): 1-15.

Lorini V, Castillo C, Nappo D, Dottori F, Salamon P. Social media alerts can improve, but not replace hydrological models for forecasting floods. In: -. -. 1 ed. -; 2020. p. 351-356.

Estivill-Castro V.; Gilmore E.; Hexel R.. Human-in-the-loop construction of decision tree classifiers with parallel coordinates. Proceedings of the IEEE International Conference on Systems, Man and Cybernetics 2020; ( ): 3852-3859.

Kumar P.; Ofli F.; Imran M.; Castillo C.. Detection of disaster-affected cultural heritage sites from social media images using deep learning techniques. Journal on Computing and Cultural Heritage 2020; 13(3): 1-32.

Villoslada P.; Baeza-Yates R.; Masdeu J.C.. Reclassifying neurodegenerative diseases. Nature Biomedical Engineering 2020; 4(8): 759-760.

Baeza-Yates R. Personalization, Bias and Privacy. In: -. -. 1 ed. -; 2020. p. 311-312.

Graells-Garrido E, Baeza-Yates R, Lalmas M. Every Colour You Are: Stance Prediction and Turnaround in Controversial Issues. In: -. -. 1 ed. -; 2020. p. 174-183.

Ramirez-Cifuentes D.; Freire A.; Baeza-Yates R.; Punti J.; Medina-Bravo P.; Velazquez D.A.; Gonfaus J.M.; Gonzalez J.. Detection of Suicidal Ideation on Social Media: Multimodal, Relational, and Behavioral Analysis. Journal of Medical Internet Research 2020; 22(7).

Altin S, Baeza-Yates R, Cambazoglu BB. Pre-indexing Pruning Strategies. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2020; 12303 LNCS(0): 177-193.

Villoslada P, Baeza-Yates R, Masdeu JC. Author Correction: Reclassifying neurodegenerative diseases (Nature Biomedical Engineering, (2020), 4, 8, (759-760), 10.1038/s41551-020-0600-3). Nature Biomedical Engineering 2020; 4(12).

Estivill-Castro V.; Gilmore E.; Hexel R.. Constructing Interpretable Decision Trees using Parallel Coordinates. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2020; 12416( ): 152-164.

Ramirez-Cifuentes D, Largeron C, Tissier J, Freire A, Baeza-Yates R. Enhanced Word Embeddings for Anorexia Nervosa Detection on Social Media. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2020; 12080 LNCS(0): 404-417.

Shakespeare D, Porcaro L, Gómez E, Castillo C. Exploring Artist Gender Bias in Music Recommendation. CEUR Workshop Proceedings 2020; 2697( ): 1-9.

Purohit H, Castillo C, Pandey R. Ranking and grouping social media requests for emergency services using serviceability model. Social Network Analysis and Mining 2020; 10( ).

Rauschenberger M, Baeza-Yates R. Recommendations to Handle Health-related Small Imbalanced Data in Machine Learning. Lecture Notes in Informatics 2020; 0(0).

Tsalouchidou I, Bonchi F, Morales G, Baeza-Yates R. Scalable Dynamic Graph Summarization. IEEE Transactions on Knowledge and Data Engineering 2020; 32(2): 360-373.

Romanou A, Smeros P, Castillo C, Aberer K. SciLens News Platform: A System for Real-Time Evaluation of News Articles. Proceedings of the VLDB Endowment 2020; 13(12): 2969-2972.

Tsalouchidou I, Baeza-Yates R, Bonchi F, Liao K, Sellis T. Temporal betweenness centrality in dynamic graphs. International Journal of Data Science and Analytics 2020; 9(3): 257-272.

Estivill-Castro V.; Hexel R.. The Understandability of Models for Behaviour. Communications in Computer and Information Science 2020; ( ): 50-75.

Recalde L.; Baeza-Yates R.. What kind of content are you prone to tweet? Multi-topic preference model for tweeters. Communications in Computer and Information Science 2020; 1245 CCIS(0): 110-126.

AA.VV.. FAT* '20: Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency. 1 ed. New York: ACM; 2020.

Baeza-Yates R. Biases on Social Media Data: (Keynote Extended Abstract). In: -. Companion Proceedings of the Web Conference 2020. 1 ed. New York: ACM; 2020. p. 782-783.

Zehlike M, Suhr T, Castillo C, Kitanovski I. FairSearch: A Tool for Fairness in Ranked Search Results. In: -. Companion Proceedings of the Web Conference 2020. 1 ed. New York: ACM; 2020. p. 172-175.

Graells-Garrido E, Baeza-Yates R, Lalmas M. Representativeness of Abortion Legislation Debate on Twitter: A Case Study in Argentina and Chile. In: -. Companion Proceedings of the Web Conference 2020. 1 ed. New York: ACM; 2020. p. 765-774.

Lorini V, Rando J, Saez-Trumper D, Castillo C. Uneven coverage of natural disasters in wikipedia: The case of floods. In: -. Virtual reality to train for crisis management. 1 ed. ISCRAM; 2020. p. 688-703.

2019 (9)

Graells-Garrido E, Baeza-Yates R, Lalmas M. How representative is an abortion debate on twitter?. In: -. -. 1 ed. -; 2019. p. 133-134.

Baeza-Yates R, Yogesh P. General chairs' preface. Communications in Computer and Information Science 2019; 941(0).

Lin YR, Castillo C, Yin J. Introduction to the Special Issue on AI for Disaster Management and Resilience. IEEE Intelligent Systems 2019; 34(3): 3-5.

Kursuncu U, Gaur M, Castillo C, Alambo A, Thirunarayan K, Shalin V, Achilov D, Arpinar IB, Sheth A. Modeling islamist extremist communications on social media using contextual dimensions: Religion, ideology, and hate. Proceedings of the ACM on Human-Computer Interaction 2019; 3(CSCW): 1-22.

Nettleton D.; Estivill-Castro V.; Salas J.. Privacy in multiple on-line social networks-re-identification and predictability. Transactions on Data Privacy 2019; 12(1): 29-56.

Jahid Reza K, Zahidul Islam Md, Estivill-Castro V. Protection of User-Defined Sensitive Attributes on Online Social Networks against Attribute Inference Attack via Adversarial Data Mining. Communications in Computer and Information Science 2019; ( ): 230-249.

Estivill-Castro V. "Man versus cyborg" in Big Data. In: Storm Pedersen j, Wilkinson A. Big Data Promise, Application and Pitfalls. 1 ed. Cheltenham: Edward Elgar Publishing; 2019. p. 22-48.

Estivill-Castro, Vladimir. Game theory formulation for ethical decision making. In: Aldinhas Ferreira;Maria Isabel; Silva Sequeira, João; Virk, Gurvinder Singh; Tokhi, Mohammad Osman; Kadar, Endre E.. Robotics and well-being. 1 ed. Springer; 2019. p. 25-38.

Rauschenberger, Maria; Baeza-Yates, Ricardo; Rello, Luz. Technologies for Dyslexia. In: Yesilada, Y.; Harper, S. (eds.). Web Accessibility A Foundation for Research. 1 ed. Springer; 2019. p. 603-627.

2018 (8)

Baeza-Yates R. Bias on the web. Communications of the ACM 2018; 61(6): 54-61.

Islam M.; Estivill-Castro V.; Rahman M.; Bossomaier T.. Combining K-MEANS and a genetic algorithm through a novel arrangement of genetic operators for high quality clustering. Expert Systems with Applications 2018; 91( ): 402-417.

Estivill-Castro V.; Hexel R.; Lusty C.. Continuous integration for testing full robotic behaviours in a GUI-stripped simulation.. CEUR Workshop Proceedings 2018; 2245( ): 453-464.

Estivill-Castro V.; Hexel R.. Deterministic High-level Executable Models Allowing Efficient Runtime Verification. Communications in Computer and Information Science 2018; 880( ): 119-144.

Baeza-Yates R, Cuzzocrea A, Crea D, Lo Bianco G. Learning ranking functions by genetic programming revisited. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2018; 11030 LNCS(0): 378-386.

Ramírez-Cifuentes, Diana; Freire, Ana. UPF's participation at the CLEF eRisk 2018: early risk prediction on the Internet. CEUR Workshop Proceedings 2018; ( ): 1-12.

McColl C, Estivill-Castro V, Hexel R. Versatile but Precise Semantics for Logic-Labelled Finite State Machines. International journal on advances in software 2018; 11(3-4): 227-238.

Ramírez-Cifuentes, Diana; Mayans, Marc; Freire, Ana. Early Risk Detection of Anorexia on Social Media. In: -. INSCI 2018: Internet Science. 1 ed. 2018. p. 3-14.

2017 (14)

Majadi N.; Trevathan J.; Gray H.; Estivill-Castro V.; Bergmann N.. Real-time detection of shill bidding in online auctions: A literature review. Computer Science Review 2017; 25( ): 1-18.

Kucukyilmaz T.; Cambazoglu B.B.; Aykanat C.; Baeza-Yates R.. A machine learning approach for result caching in web search engines. Information processing & management 2017; 53(4): 834-850.

Rello L.; Baeza-Yates R.; Llisterri J.. A resource of errors written in Spanish by people with dyslexia and its linguistic, phonetic and visual analysis. Language Resources and Evaluation 2017; 51( ): 379-408.

Baeza-Yates R.; Sangal P.M.; Villoslada P.. Burden of neurological diseases in the US revealed by web searches. PLoS ONE 2017; 12(5).

Rello L.; Baeza-Yates R.. How to present more readable text for people with dyslexia. Universal Access in the Information Society 2017; 16(1): 29-49.

Reza K.; Islam M.; Estivill-Castro V.. 3LP: Three layers of protection for individual privacy in facebook. IFIP Advances in Information and Communication Technology 2017; 502( ): 108-123.

Imran M, Chawla S, Castillo C. A robust framework for classifying evolving document streams in an expert-machine-crowd setting. IEEE International Conference on Data Mining 2017; 0(0): 961-966.

Beck H, Nettleton D, Recalde LK, Saez-Trumper D, Barahona-Peñaranda A. A System for Extracting and Comparing Memes in Online Forums. Expert Systems with Applications 2017; 82( ): 231-251.

Joukoff D.; Estivill-Castro V.; Hexel R.; Lusty C.. Fast MAV Control by Control/Status OO-Messages on Shared-Memory Middleware. Advances in Intelligent Systems and Computing 2017; 447( ): 195-211.

Lehmann J, Castillo C, Lalmas M, Baeza-Yates R. Story-focused reading in online news and its potential for user engagement. Journal of the Association for Information Science and Technology 2017; 68(4): 869-883.

Leiva, Víctor; Freire, Ana. Towards suicide prevention: Early detection of depression on social media. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2017; 10673( ): 428-436.

Bai X, Arapakis I, Cambazoglu BB, Freire A.. Understanding and leveraging the impact of response latency on user behaviour in web wearch. ACM Transactions on Management Information Systems 2017; 36(2).

AA.V.. 7th International Conference on Digital Health, DH 2017. 1 ed. Association for Computing Machinery; 2017.

Spaniol M, Baeza-Yates R, Masanes J. TEMPWeb 2017 chairs' welcome message. In: -. -. 1 ed. -; 2017. p. 1557-1558.

2016 (11)

Beg A.; Islam M.; Estivill-Castro V.. Genetic algorithm with healthy population and multiple streams sharing information for clustering. Knowledge-Based Systems 2016; 114( ): 61-78.

Rello L.; Baeza-Yates R.. The Effect of Font Type on Screen Readability by People with Dyslexia. ACM Transactions on Accessible Computing 2016; 8(4).

Nettleton D, Salas J. A data driven anonymization system for information rich online social network graphs. Expert Systems with Applications 2016; 55( ): 87-105.

Nettleton D. A synthetic data generator for online social network graphs. Social Network Analysis and Mining 2016; 6( ).

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