Full Publications

Article in Journal

  1. A perspective on complexity and networks science.Guido Caldarelli.In Journal of Physics: Complexity (2020) [http://dx.doi.org/10.1088/2632-072x/ab9a24 ]
  2. A Research Agenda for Hybrid Intelligence: Augmenting Human Intellect With Collaborative, Adaptive, Responsible, and Explainable Artificial Intelligence.Zeynep Akata;Dan Balliet;Maarten de Rijke;Frank Dignum;Virginia Dignum;Guszti Eiben.In Computer ( Volume: 53, Issue: 8, August 2020) (2020) [http://dx.doi.org/10.1109/mc.2020.2996587 ]
  3. A Robust Solution to Variational Importance Sampling of Minimum Variance.Jerónimo Hernández-González;Jesús Cerquides.In Entropy 2020 (2020) [http://dx.doi.org/10.3390/e22121405 ]
  4. Budapest bicycle network growth; Manhattan bicycle network growth from Data-driven strategies for optimal bicycle network growth.Luis Guillermo Natera Orozco;Federico Battiston;Gerardo Iñiguez;Michael Szell.In Royal Society Open Science (2020) [http://dx.doi.org/10.6084/m9.figshare.13336684.v1 ]
  5. Data-driven strategies for optimal bicycle network growth..Luis Guillermo Natera Orozco;Federico Battiston;Gerardo Iñiguez;Michael Szell.In Royal Society Open Science (2020) [http://dx.doi.org/10.1098/rsos.201130 ]
  6. PAC-Bayes unleashed: generalisation bounds with unbounded losses.Mazime Haddouche;Benjamin Guedj;Omar Rivasplata;John Shawe-Taylor.In Entropy 2021 (2020) [http://dx.doi.org/10.3390/e23101330 ]
  7. Prediction and Explanation of Privacy Risk on Mobility Data with Neural Networks.Francesca Naretto;Roberto Pellungrini;Franco Maria Nardini;Fosca Giannotti .In ECML PKDD 2020 Workshops – Workshops of the European Conference on Machine Learning and Knowledge Discovery in Databases (ECML PKDD 2020): SoGood 2020, PDFL 2020, MLCS 2020, NFMCP 2020, DINA 2020, EDML 2020, XKDD 2020 and INRA 2020, Ghent, Belgium, September 14–18, 2020, Proceedings (2020) [http://dx.doi.org/10.1007/978-3-030-65965-3_34 ]
  8. Qualitative case-based reasoning and learning.Thiago Pedro Donadon Homem;Paulo Eduardo Santos;Anna Helena Reali Costa;Reinaldo Augusto da Costa Bianchi;Ramon Lopez de Mantaras.In Artificial Intelligence 2020 (2020) [http://dx.doi.org/10.1016/j.artint.2020.103258 ]
  9. Smart technologies.Mireille Hildebrandt.In Internet Policy Review (2020) [http://dx.doi.org/10.14763/2020.4.1531 ]
  10. The Adaptive Nature of Text-Driven Law.Mireille Hildebrandt.In Journal of Cross-Disciplinary Research in Computational Law (2020) [https://journalcrcl.org/crcl/article/view/2 ]
  11. The ambiguity of nestedness under soft and hard constraints.Matteo Bruno;Fabio Saracco;Diego Garlaschelli;Claudio J. Tessone;Guido Caldarelli.In Nature Scientific Reports (2020) [http://dx.doi.org/10.5167/uzh-194402 ]
  12. The role of artificial intelligence in achieving the Sustainable Development Goals.Ricardo Vinuesa;Hossein Azizpour;Iolanda Leite;Madeline Balaam;Virginia Dignum;Sami Domisch;Anna Felländer;Simone Daniela Langhans;Max Tegmark;Francesco Fuso Nerini.In Natural Communications (2020) [http://dx.doi.org/10.1038/s41467-019-14108-y ]
  13. Towards an Integrative Educational Recommender for Lifelong Learners (Student Abstract).Sahan Bulathwela;María Pérez-Ortiz;Emine Yilmaz;John Shawe-Taylor.In Proceedings of the AAAI Conference on Artificial Intelligence (2020) (2020) [http://dx.doi.org/10.1609/aaai.v34i10.7151 ]
  14. TrueLearn: A Family of Bayesian Algorithms to Match Lifelong Learners to Open Educational Resources.Sahan Bulathwela;Maria Perez-Ortiz;Emine Yilmaz;John Shawe-Taylor.In Proceedings of the AAAI Conference on Artificial Intelligence (2020) (2020) [http://dx.doi.org/10.1609/aaai.v34i01.5395 ]
  15. A Chemical Analysis of Hybrid Economic Systems—Tokens and Money.Anabele-Linda Pardi;Mario Paolucci.In Mathematics 2021 (2021) [http://dx.doi.org/10.3390/math9202607 ]
  16. A choices framework for the responsible use of AI.Richard Benjamins.In AI and Ethics (2021) [http://dx.doi.org/10.1007/s43681-020-00012-5 ]
  17. A Conceptual Probabilistic Framework for Annotation Aggregation of Citizen Science Data.Jesus Cerquides;Mehmet Oğuz Mülâyim;Jerónimo Hernández-González;Amudha Ravi Shankar;Jose Luis Fernandez-Marquez .In Mathematics 2021 (2021) [http://dx.doi.org/10.3390/math9080875 ]
  18. A First Approach to Closeness Distributions.Jesus Cerquides.In Mathematics 2022 (2021) [http://dx.doi.org/10.3390/math9080875 ]
  19. AI — the people and places that make, use and manage it.Virginia Dignum.In Nature (2021) [http://dx.doi.org/10.1038/d41586-021-01397-x ]
  20. AI-Empowered Process Mining for Complex Application Scenarios: Survey and Discussion.Francesco Folino;Luigi Pontieri.In Journal on Data Semantics -Concepts and Ideas for Building Knowledgeable Systems  (2021) [http://dx.doi.org/10.1007/s13740-021-00121-2 ]
  21. Analyzing Differentiable Fuzzy Logic Operators.Emile van Krieken;Erman Acar;Frank van Harmelen.In Artificial Intelligence 2022 (2021) [http://dx.doi.org/10.1016/j.artint.2021.103602 ]
  22. Controlling systemic risk: Network structures that minimize it and node properties to calculate it..Sebastian M. Krause;Hrvoje Štefančić;Guido Caldarelli;Vinko Zlatić.In Physical Review E (2021) (2021) [http://dx.doi.org/10.1103/physreve.103.042304 ]
  23. Deep Learning Exploration of Agent-Based Social Network Model Parameters..Yohsuke Murase;Hang-Hyun Jo;János Török;János Kertész;Kimmo Kaski.In Frontiers Big Data 2021 (2021) [http://dx.doi.org/10.3389/fdata.2021.739081 ]
  24. Dynamics of cascades on burstiness-controlled temporal networks.Samuel Unicomb;Gerardo Iñiguez;James P. Gleeson;Márton Karsai .In  Nature Communications (2021) (2021) [https://www.nature.com/articles/s41467-020-20398-4 ]
  25. Effect of algorithmic bias and network structure on coexistence, consensus, and polarization of opinions..Antonio F. Peralta;Matteo Neri;János Kertész;Gerardo Iñiguez.In Physical Review E (2021) (2021) [http://dx.doi.org/10.1103/physreve.104.044312 ]
  26. Emergent spatial patterns of coexistence in species-rich plant communities..Pablo Villegas;Tommaso Gili;Guido Caldarelli.In Physical Review E (2021) (2021) [http://dx.doi.org/10.1103/physreve.104.034305 ]
  27. Ethics of smart cities: Towards value-sensitive design and co-evolving city life.Dirk Helbing;Farzam Fanitabasi;Fosca Giannotti;Regula Hänggli;Carina I. Hausladen;Jeroen van den Hoven;Sachit Mahajan;Dino Pedreschi;Evangelos Pournaras.In Sustainability 2021 (2021) [http://dx.doi.org/10.3390/su132011162 ]
  28. Evaluating local explanation methods on ground truth.Riccardo Guidotti.In Artificial Intelligence 2021 (2021) [http://dx.doi.org/10.1016/j.artint.2020.103428 ]
  29. Firms’ challenges and social responsibilities during Covid-19: A Twitter analysis.Alessia Patuelli;Guido Caldarelli;Nicola Lattanzi;Fabio Saracco.In PLoS One (2021) [https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0254748 ]
  30. Flow of online misinformation during the peak of the COVID-19 pandemic in Italy.Guido Caldarelli;Rocco De Nicola;Marinella Petrocchi;Manuel Pratelli;Fabio Saracco .In EPJ Data Science 2021 (2021) [http://dx.doi.org/10.1016/j.artint.2020.103428 ]
  31. Italian Twitter semantic network during the Covid-19 epidemic..Mattia Mattei;Guido Caldarelli;Tiziano Squartini;Fabio Saracco .In EPJ Data Science 2022 (2021) [http://dx.doi.org/10.1140/epjds/s13688-021-00301-x ]
  32. Knowledge Graphs.Aidan Hogan;Eva Blomqvist;Michael Cochez;Claudia D’amato;Gerard De Melo;Claudio Gutierrez;Sabrina Kirrane;José Emilio Labra Gayo;Roberto Navigli;Sebastian Neumaier;Axel-Cyrille Ngonga Ngomo;Axel Polleres;Sabbir M. Rashid;Anisa Rula;Lukas Schmelzeisen;Juan Sequeda;Steffen Staab;Antoine Zimmermann.In ACM Computing Surveys (CSUR) (2021) [https://dl.acm.org/doi/10.1145/3447772 ]
  33. Let Me Take Over: Variable Autonomy for Meaningful Human Control..Leila Methnani;Andrea Aler Tubella;Virginia Dignum;Andreas Theodorou.In Frontiers Artificial Intelligence 2021 (2021) [http://dx.doi.org/10.3389/frai.2021.737072 ]
  34. Matrix profile-based interpretable time series classifier.Riccardo Guidotti;Matteo D’Onofrio.In Frontiers Artificial Intelligence 2022 (2021) [https://www.frontiersin.org/articles/10.3389/frai.2021.699448/full ]
  35. Occlusion-based explanations in deep recurrent models for biomedical signals.Michele Resta;Anna Monreale;Davide Bacciu.In Entropy 2021 (2021) [https://www.mdpi.com/1099-4300/23/8/1064 ]
  36. On the Convergence of Stochastic Process Convergence Proofs.Borja Sánchez-López;Jesus Cerquides.In Mathematics 2021 (2021) [http://dx.doi.org/10.3390/math9131470 ]
  37. Opinion formation on social networks with algorithmic bias: Dynamics and bias imbalance.Antonio F Peralta;János Kertész;Gerardo Iñiguez.In Journal of Physics: Complexity, Volume 2, Number 4 (2021) [http://dx.doi.org/10.1088/2632-072x/ac340f ]
  38. Opportunity++: A Multimodal Dataset for Video- and Wearable, Object and Ambient Sensors-Based Human Activity Recognition.Mathias Ciliberto;Vitor Fortes Rey;Alberto Calatroni;Paul Lukowicz;Daniel Roggen.In Frontiers Computer Science 2021 (2021) [http://dx.doi.org/10.3389/fcomp.2021.792065 ]
  39. Optimising cost vs accuracy of decentralised analytics in fog computing environments.Lorenzo Valerio;Andrea Passarella;Marco Conti.In IEEE Transactions on Network Science and Engineering ( Volume: 9, Issue: 4, 01 July-Aug. 2022) (2021) [http://dx.doi.org/10.1109/tnse.2021.3101986 ]
  40. Reasoning on Multirelational Contextual Hierarchies via Answer Set Programming with Algebraic Measure.Loris Bozzato;Thomas Eiter;Rafael Kiesel.In Theory and Practice of Logic Programming , Volume 21 , Issue 5: 37th International Conference on Logic Programming Special Issue I (2021) [http://dx.doi.org/10.1017/s1471068421000284 ]
  41. Revisiting Multi-Domain Machine Translation.MinhQuang Pham;Josep Maria Crego;François Yvon.In Transactions of the Association for Computational Linguistics (2021) (2021) [http://dx.doi.org/10.1162/tacl_a_00351 ]
  42. SARS-COV-2 comorbidity network and outcome in hospitalized patients in Crema, Italy.Gianpaolo Benelli;Elisabetta Buscarini;Ciro Canetta;Giuseppe La Piana;Guido Merli;Alessandro Scartabellati;Giovanni Viganò;Roberto Sfogliarini;Giovanni Melilli;Roberto Assandri;Daniele Cazzato;Davide Sebastiano Rossi;Susanna Usai;Guido Caldarelli;Tommaso Gili;Irene Tramacere;Germano Pellegata;Giuseppe Lauria.In PLoS One (2021) [http://dx.doi.org/10.1101/2020.04.14.20053090 ]
  43. The academic wanderer: structure of collaboration network and relation with research performance.Pavlos Paraskevopoulos;Chiara Boldrini;Andrea Passarella;Marco Conti .In Applied Network Science 2021 (2021) [http://dx.doi.org/10.1007/s41109-021-00369-4 ]
  44. The Advanced Course on Human-Centered AI: Learning Objectives.Mohamed Chetouani;Virginia Dignum;Paul Lukowicz;Carles Sierra.In Human-Centered Artificial Intelligence – Advanced Lectures (included in ACAI: ECCAI Advanced Course on Artificial Intelligence 2021) (2021) [https://link.springer.com/chapter/10.1007/978-3-031-24349-3_1 ]
  45. The physics of financial networks.Marco Bardoscia;Paolo Barucca;Stefano Battiston;Fabio Caccioli;Giulio Cimini;Diego Garlaschelli;Fabio Saracco;Tiziano Squartini;Guido Caldarelli.In Nature Reviews. Physics (2021) (2021) [http://dx.doi.org/10.5167/uzh-208604 ]
  46. The Solution of the Deep Boltzmann Machine on the Nishimori Line.Diego Alberici;Francesco Camilli;Pierluigi Contucci;Emanuele Mingione.In Communications in Mathematical Physics (2021) [http://dx.doi.org/10.1007/s00220-021-04165-0 ]
  47. The superior parietal lobule of primates: a sensory-motor hub for interaction with the environment.Lauretta Passarelli;Michela Gamberini;Patrizia Fattori.In Journal of Integrative Neuroscience (2021) (2021) [https://cris.unibo.it/handle/11585/821770 ]
  48. Three-Year Review of the 2018–2020 SHL Challenge on Transportation and Locomotion Mode Recognition From Mobile Sensors.Lin Wang;Hristijan Gjoreski;Mathias Ciliberto;Paula Lago;Kazuya Murao;Tsuyoshi Okita;Daniel Roggen.In Frontiers Computer Science 2021 (2021) [http://dx.doi.org/10.3389/fcomp.2021.713719 ]
  49. True scale-free networks hidden by finite size effects.Matteo Serafino;Giulio Cimini;Amos Maritan;Andrea Rinaldo;Samir Suweis;Jayanth R. Banavar;Guido Caldarelli.In PNAS 2020 (Physics – Physical Sciences) (?) (2021) [https://www.pnas.org/doi/abs/10.1073/pnas.2013825118 ]
  50. A hierarchical framework for collaborative artificial intelligence.James L. Crowley;Joëlle Coutaz;Jasmin Grosinger;Javier Vazquez-Salceda;Cecilio Angulo;Alberto Sanfeliu;Luca Iocchi;Anthony G. Cohn.In IEEE pervasive computing (2022) [https://www.humane-ai.eu/wp-content/uploads/2023/10/CollaborativeIntelligentSystems-Nov2022.pdf ]
  51. A neo-republican critique of ai ethics.Jonne Maas.In Journal of Responsible Technology (2022) [https://www.sciencedirect.com/science/article/pii/S2666659621000159 ]
  52. A privacy-preserving dialogue system based on argumentation.Bettina Fazzinga;Andrea Galassi;Paolo Torroni.In Intelligent Systems with Applications (2022) [http://dx.doi.org/10.1016/j.iswa.2022.200113 ]
  53. A sociotechnical perspective for the future of AI: narratives, inequalities, and human control.Laura Sartori;Andreas Theodorou.In Ethics and Information Technology (2022) [http://dx.doi.org/10.1007/s10676-022-09624-3 ]
  54. An inference problem in a mismatched setting: a spin-glass model with Mattis interaction.Francesco Camilli;Pierluigi Contucci;Emanuele Mingione.In SciPost Physics 2022 (2022) [http://dx.doi.org/10.21468/scipostphys.12.4.125 ]
  55. Analytical and Numerical Treatment of Continuous Ageing in the Voter Model.Joseph W. Baron;Antonio F. Peralta;Tobias Galla;Raúl Toral.In Entropy 2022 (2022) [http://dx.doi.org/10.3390/e24101331 ]
  56. Artificial intelligence-informed planning for the rapid response of hazard-impacted road networks.Li Sun;John Shawe-Taylor;Dina D’Ayala .In Scientific Reports 2022 (2022) [https://www.nature.com/articles/s41598-022-19637-z ]
  57. BikeAR: Understanding Cyclists’ Crossing Decision-Making at Uncontrolled Intersections using Augmented Reality.Andrii Matviienko;Florian Müller;Dominik Schön;Paul Seesemann;Sebastian Günther;Max Mühlhäuser.In CHI ’22: Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems (2022) [http://dx.doi.org/10.1145/3491102.3517560 ]
  58. Characterizing spatial point processes by percolation transitions.Pablo Villegas;Tommaso Gili;Andrea Gabrielli;Guido Caldarelli.In Journal of Statistical Mechanics: Theory and Experiment, Volume 2022, July 2022 (2022) [https://iopscience.iop.org/article/10.1088/1742-5468/ac7a2c/meta ]
  59. Combining deep ensemble learning and explanation for intelligent ticket management.Paolo Zicari;Gianluigi Folino;Massimo Guarascio;Luigi Pontieri.In Expert Systems with Applications 2022 (2022) [https://www.sciencedirect.com/science/article/pii/S0957417422010776 ]
  60. Corrigendum to “Process mining meets argumentation: Explainable interpretations of low-level event logs via abstract argumentation” [Inform. Syst. 107 (2022) 101987].Bettina Fazzinga;Sergio Flesca;Filippo Furfaro;Luigi Pontieri.In Information Systems 2022 (2022) [http://dx.doi.org/10.1016/j.is.2022.102103 ]
  61. Democracy by Design: Perspectives for Digitally Assisted, Participatory Upgrades of Society.Dirk Helbing;Sachit Mahajan;Regula Hänggli;Andrea Musso;Carina Ines Hausladen;Cesare Carissimo;Dino Carpentras;Elisabeth Stockinger;Javier Argota Sánchez-Vaquerizo;Joshua Yang;Mark C. Ballandies;Marcin Korecki;Rohit Kumar Dubey;Evangelos Pournaras.In Computational Social Science Journal (2022) [http://dx.doi.org/10.2139/ssrn.4266038 ]
  62. Dynamic hard pruning of Neural Networks at the edge of the internet.Lorenzo Valerio;Franco Maria Nardini;Andrea Passarella;Raffaele Perego .In Journal of Network and Computer Application (2022) [http://dx.doi.org/10.1016/j.jnca.2021.103330 ]
  63. Dynamics of ranking.Gerardo Iñiguez;Carlos Pineda;Carlos Gershenson;Albert-László Barabási.In Nature Communications 2022 (2022) [http://dx.doi.org/10.1038/s41467-022-29256-x ]
  64. Ethical implications of fairness interventions: what might be hidden behind engineering choices?.Andrea Aler Tubella;Flavia Barsotti;Rüya Gökhan Koçer;Julian Alfredo Mendez .In Ethics and Information Technology (2022) [http://dx.doi.org/10.1007/s10676-022-09636-z ]
  65. Expecting, understanding, relating, and interacting-older, middle-aged and younger adults’ perspectives on breakdown situations in human–robot dialogues.Maitreyee Tewari;Helena Lindgren.In Frontiers in Robotics and AI (2022) [https://www.frontiersin.org/articles/10.3389/frobt.2022.956709/full ]
  66. Explainable AI for time series classification: a review, taxonomy and research directions.Andreas Theissler;Francesco Spinnato;Udo Schlegel;Riccardo Guidotti.In IEEE Access (2022) [https://ieeexplore.ieee.org/abstract/document/9895252/ ]
  67.  Exploiting auto-encoders for explaining black-box classifiers.Riccardo Guidotti.In Intelligenza Artificiale 2022 (2022) [https://content.iospress.com/articles/intelligenza-artificiale/ia220139 ]
  68. Get out of the BAG! Silos in AI Ethics Education: Unsupervised Topic Modeling Analysis of Global AI Curricula.Rana Tallal Javed;Osama Nasir;Melania Borit;Loïs Vanhée;Elias Zea;Shivam Gupta;Ricardo Vinuesa;Junaid Qadir.In Journal of Artificial Intelligence Research (JAIR 2022) (2022) [http://dx.doi.org/10.1613/jair.1.13550 ]
  69. Gross polluters and vehicle emissions reduction.Matteo Böhm;Mirco Nanni;Luca Pappalardo.In Nature Sustainability 2022 (2022) [https://www.nature.com/articles/s41893-022-00903-x ]
  70. Human-AI ecosystem with abrupt changes as a function of the composition.Pierluigi Contucci;János Kertész;Godwin Osabutey.In PLos ONE (2022) [http://dx.doi.org/10.1371/journal.pone.0267310 ]
  71. Human-centered AI and robotics.Stephane Doncieux;Raja Chatila;Sirko Straube;Frank Kirchner;.In AI Perspectives  (2022) [http://dx.doi.org/10.1186/s42467-021-00014-x ]
  72. Is Google making us smart? Health self-management for high performance employees and organisations.Luuk Simons;Mark Neerincx;Catholijn Jonker.In International Journal of Networking and Virtual Organisations (2022) [https://www.inderscienceonline.com/doi/abs/10.1504/IJNVO.2022.128454 ]
  73. Laplacian paths in complex networks: Information core emerges from entropic transitions.Pablo Villegas;Andrea Gabrielli;Francesca Santucci;Guido Caldarelli;Tommaso Gili.In Physical Review Research (2022) [http://dx.doi.org/10.1103/physrevresearch.4.033196 ]
  74. Learning GUI Completions with User-defined Constraints.Lukas Brückner;Luis Leiva;Antti Oulasvirta.In ACM Transactions on Interactive Intelligent Systems (TiiS) (2022) [http://dx.doi.org/10.1145/3490034 ]
  75. Machine learning methods for generating high dimensional discrete datasets.Giuseppe Manco;Ettore Ritacco;Antonino Rullo;Domenico Saccà;Edoardo Serra.In WILEY INTERDISCIPLINARY REVIEWS-DATA MINING AND KNOWLEDGE DISCOVERY (2022) [http://dx.doi.org/10.1002/widm.1450 ]
  76. Minding the gap(s): public perceptions of AI and socio-technical imaginaries.Laura Sartori;Giulia Bocca.In AI & SOCIETY (2022) [http://dx.doi.org/10.1007/s00146-022-01422-1 ]
  77. Modeling three sources of uncertainty in assisted reproductive technologies with probabilistic graphical models.Jerónimo Hernández-González;Olga Valls;Adrián Torres-Martín;Jesús Cerquides.In Computers in Biology and Medicine (2022) [https://www.sciencedirect.com/science/article/pii/S001048252200868X ]
  78. Multi-Fidelity Bayesian Optimization with Unreliable Information Sources.Petrus Mikkola;Julien Martinelli;Louis Filstroff;Samuel Kaski.In AISTATS 2023 (2022) [http://dx.doi.org/10.48550/arxiv.2210.13937 ]
  79. Process Mining meets argumentation: Explainable interpretations of low-level event logs via abstract argumentation.Bettina Fazzinga;Sergio Flesca;Filippo Furfaro;Luigi Pontieri.In Information Systems (2022) [http://dx.doi.org/10.1016/j.is.2022.101987 ]
  80. SkyPort: Investigating 3D Teleportation Methods in Virtual Environments.Andrii Matviienko;Florian Müller;Martin Schmitz;Marco Fendrich;Max Mühlhäuser.In 2022 CHI Conference on Human Factors in Computing Systems (2022) [http://dx.doi.org/10.1145/3491102.3501983 ]
  81. Socially Aware Interactions: From Dialogue Trees to Natural Language Dialogue Systems.Inês Lobo;Diogo Rato;Rui Prada;Frank Dignum.In International Workshop on Chatbot Research and Design (2022) [http://dx.doi.org/10.1007/978-3-030-94890-0_8 ]
  82. Socioeconomic biases in urban mixing patterns of US metropolitan areas.Rafiazka Hilman;Gerardo Iñiguez;Marton Karsai.In EPJ Data Science volume (2022) [http://dx.doi.org/10.1140/epjds/s13688-022-00341-x ]
  83. Speeding up deep neural architecture search for wearable activity recognition with early prediction of converged performance.Lloyd Pellatt;Daniel Roggen.In Frontiers in Computer Science (2022) [https://www.frontiersin.org/articles/10.3389/fcomp.2022.914330/full ]
  84. Technology as driver for morally motivated conceptual engineering.Herman Veluwenkamp;Marianna Capasso;Jonne Maas;Lavinia Marin;.In Philosophy & Technology  (2022) [https://link.springer.com/article/10.1007/s13347-022-00565-9 ]
  85. The Issue of Proxies and Choice Architectures. Why EU Law Matters for Recommender Systems.Mireille Hildebrandt.In Frrontiers in Artificial Intelligence (2022) [http://dx.doi.org/10.3389/frai.2022.789076 ]
  86. The state-of-the-art sensing techniques in human activity recognition: A survey.Sizhen Bian;Mengxi Liu;Bo Zhou;Paul Lukowicz.In Sensors for Human Activity Recognition (2022) [https://www.mdpi.com/1424-8220/22/12/4596 ]
  87. Toward Teachable Autotelic Agents.Olivier Sigaud;Ahmed Akakzia;Hugo Caselles-Dupré;Cédric Colas;Pierre-Yves Oudeyer;Mohamed Chetouani.In IEEE Transactions on Cognitive and Developmental Systems (2022) [https://ieeexplore.ieee.org/abstract/document/9998009/
  88. Two ways to make your robot proactive: Reasoning about human intentions or reasoning about possible futures.Sera Buyukgoz;Jasmin Grosinger;Mohamed Chetouani;Alessandro Saffiotti.In Frrontiers in Robotics and AI (2022) [https://www.frontiersin.org/articles/10.3389/frobt.2022.929267/full
  89. Value elicitation on a scenario of autonomous weapon system deployment: a qualitative study based on the value deliberation process..Ilse Verdiesen;Virginia Dignum.In AI and Ethics  (2022) [http://dx.doi.org/10.1007/s43681-022-00211-2
  90. Viewpoint: Ethical By Designer – How to Grow Ethical Designers of Artificial Intelligence.Loïs Vanhée;Melania Borit.In Journal of Artificial Intelligence Research (2022) [http://dx.doi.org/10.1613/jair.1.13135
  91. Why is a document relevant? Understanding the relevance scores in cross-lingual document retrieval.Erik Novak;Luka Bizjak;Dunja Mladenić;Marko Grobelnik.In Knowledge-Based Systems (2022)  [https://www.sciencedirect.com/science/article/pii/S0950705122002416
  92. A simple model of edit activity in Wikipedia.Takashi Shimada;Fumiko Ogushi;János Török;János Kertész;Kimmo Kaski.In Physica A: Statistical Mechanics and its Applications (2023) [https://www.sciencedirect.com/science/article/pii/S0378437123008087
  93. A Survey on Privacy in Human Mobility.Anna Monreale;Roberto Pellungrini.In TRANSACTIONS ON DATA PRIVACY (2023) [https://arpi.unipi.it/handle/11568/1176246
  94. AI taking actions in the physical world-Strategies for establishing trust and reliability.Sirko Straube;Ryuji Yamazaki-Skov;Raul Hakli.In AI taking actions in the physical world – Strategies for establishing trust and reliability (2023) [https://www.frontiersin.org/articles/10.3389/fnbot.2023.1200802/full
  95. Assortative and preferential attachment lead to core-periphery networks.Javier Ureña-Carrión;Fariba Karimi;Gerardo Íñiguez;Mikko Kivelä.In Physical Review Research (2023) [https://journals.aps.org/prresearch/abstract/10.1103/PhysRevResearch.5.043287
  96. Automatic context-aware inference of engagement in HMI: A survey.Hanan Salam;Oya Celiktutan;Hatice Gunes;Mohamed Chetouani.In IEEE Transactions on Affective Computing (2023) [https://ieeexplore.ieee.org/abstract/document/10136823/
  97. Autonomous and Adaptive Systems.Andrew Fuchs;Andrea Passarella;Marco Conti;Weyns, D., Gerostathopoulos, I., Abbas, N., Andersson, J., Biffl, S., Brada, P., Bures, T. and Di Salle, A., .In  (2023) [ PDF link
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Chapter in a Book

  1. Code-Driven Law: Freezing the Future and Scaling the Past.Mireille Hildebrandt.In Is Law Computable? Critical Perspectives on Law and Artificial Intelligence (2020) [http://dx.doi.org/10.2139/ssrn.3522079 ]
  2. Embedding the Trust Degrees of Agents in Abstract Argumentation.Bettina Fazzinga;Sergio Flesca;Filippo Furfaro.In Volume 325: ECAI 2020 (2020) [http://dx.doi.org/10.3233/faia200161 ]
  3. A Planetary-Scale Threat: How Much Worse Can it Get?.Dirk Helbing.In Next Civilization – Digital Democracy and Socio-Ecological Finance – How to Avoid Dystopia and Upgrade Society by Digital Means (2021) [https://link.springer.com/chapter/10.1007/978-3-030-62330-2_6 ]
  4. Conceptual Foundations of Human-Centric AI.Luc Steels.In Human-Centered Artificial Intelligence – Advanced Lectures (ACAI 2021) (2021) [https://link.springer.com/chapter/10.1007/978-3-031-24349-3_2 ]
  5. Empathy and prosociality in social agents.Ana Paiva;Filipa Correia;Raquel Oliveira;Fernando Santos;Patrícia Arriaga.In The Handbook on Socially Interactive Agents: 20 years of Research on Embodied Conversational Agents, Intelligent Virtual Agents, and Social Robotics Volume 1: Methods, Behavior, Cognition (2021) [https://dl.acm.org/doi/abs/10.1145/3477322.3477334 ]
  6. Interactive robot learning: an overview.Mohamed Chetouani.In Human-Centered Artificial Intelligence – Advanced Lectures (ACAI 2021) (2021) [https://link.springer.com/chapter/10.1007/978-3-031-24349-3_9 ]
  7. Principles of explainable artificial intelligence.Riccardo Guidotti;Anna Monreale;Dino Pedreschi;Fosca Giannotti.In Explainable AI Within the Digital Transformation and Cyber Physical Systems – XAI Methods and Applications (2021) [https://link.springer.com/chapter/10.1007/978-3-030-76409-8_2 ]
  8. The Issue of Bias. The Framing Powers of Machine Learning.Mireille Hildebrandt.In Machines We Trust. Perspectives on Dependable AI (2021) [http://dx.doi.org/10.2139/ssrn.3497597 ]
  9. The Myth of Complete AI-Fairness.Virginia Dignum.In Artificial Intelligence in Medicine – 19th International Conference on Artificial Intelligence in Medicine, AIME 2021, Virtual Event, June 15–18, 2021, Proceedings (2021) [http://dx.doi.org/10.1007/978-3-030-77211-6_1 ]
  10. Validation on real data of an extended embryo-uterine probabilistic graphical model for embryo selection.Adrián Torres-Martín;Jerónimo Hernández-González;Jesus Cerquides.In Volume 339: Artificial Intelligence Research and Development (2021) [https://ebooks.iospress.nl/doi/10.3233/FAIA210139 ]
  11. Exemplars and Counterexemplars Explanations for Skin Lesion Classifiers.Carlo Metta;Riccardo Guidotti;Yuan Yin;Patrick Gallinari;Salvatore Rinzivillo.In Volume 354: HHAI2022: Augmenting Human Intellect (2022) [http://dx.doi.org/10.3233/faia220209 ]
  12. Developing and Validating Tools for the Automated Analysis and Enhancement of Online Discussions.Bjoern Komander;Jesus Cerquides;Jaume Piera.In Volume 368: HHAI 2023: Augmenting Human Intellect (2023) [https://ebooks.iospress.nl/volumearticle/63368 ]
  13. Expert Finding for Citizen Science.Bjoern Komander;Jesus Cerquides;Jaume Piera;Jeffrey Chan;Azadeh Alavi.In Volume 375: Artificial Intelligence Research and Development (2023) [https://ebooks.iospress.nl/doi/10.3233/FAIA230659 ]
  14. Explainable for Trustworthy AI.Fosca Giannotti;Francesca Naretto;Francesco Bodria.In ECCAI Advanced Course on Artificial Intelligence (2023) [https://link.springer.com/chapter/10.1007/978-3-031-24349-3_10 ]
  15. Explaining Socio-Demographic and Behavioral Patterns of Vaccination Against the Swine Flu (H1N1) Pandemic.Clara Punzi;Aleksandra Maslennikova;Gizem Gezici;Roberto Pellungrini;Fosca Giannotti.In World Conference on Explainable Artificial Intelligence (2023) [https://link.springer.com/chapter/10.1007/978-3-031-44067-0_31 ]
  16. Learning Logic Explanations by Neural Networks.Gabriele Ciravegna;Francesco Giannini;Pietro Barbiero;Marco Gori;Pietro Lio;Marco Maggini;Stefano Melacci.In Compendium of Neurosymbolic Artificial Intelligence (2023) [https://ebooks.iospress.nl/doi/10.3233/FAIA230157 ]
  17. Mathematical and Computational Models for Crowdsourced Geolocation.Rocco Ballester;Yanis Labeyrie;Mehmet Mulayim;Jose Fernandez-Marquez;Jesus Cerquides.In Artificial Intelligence Research and Development (2023) [https://ebooks.iospress.nl/doi/10.3233/FAIA230699 ]
  18. Semantic Enrichment of Explanations of AI Models for Healthcare.Luca Corbucci;Anna Monreale;Cecilia Panigutti;Michela Natilli;Simona Smiraglio;Dino Pedreschi.In International Conference on Discovery Science (2023) [ Long research gate link ]
  19. A Turkish Educational Crossword Puzzle.Kamyar Zeinalipour;Yusuf Keptiğ;Marco Maggini;Leonardo Rigutini;Marco Gori.In International Conference on Artificial Intelligence in Education (2024) [https://link.springer.com/chapter/10.1007/978-3-031-64312-5_27 ]
  20. Categorical Foundation of Explainable AI: A Unifying Theory.Francesco Giannini;Stefano Fioravanti;Pietro Barbiero;Alberto Tonda;Pietro Liò ;Elena Di Lavore.In World Conference on Explainable Artificial Intelligence (2024) [https://link.springer.com/chapter/10.1007/978-3-031-63800-8_10 ]
  21. Epistemic implications of machine learning models in science.Stefan Buijsman;Juan M. Duran.In The Routledge Handbook of Philosophy of Scientific Modeling (2024) [https://library.oapen.org/bitstream/handle/20.500.12657/93111/9781040090411.pdf?sequence=1#page=473 ]
  22. Exploring Large Language Models Capabilities to Explain Decision Trees.Paulo Bruno Serafim;Pierluigi Crescenzi;Gizem Gezici;Eleonora Cappuccio;Salvatore Rinzivillo;Fosca Giannotti.In HHAI 2024: Hybrid Human AI Systems for the Social Good (2024) [https://ebooks.iospress.nl/volumearticle/68000 ]
  23. Unreflected acceptance–investigating the negative consequences of chatgpt-assisted problem solving in physics education.Lars Krupp;Steffen Steinert;Maximilian Kiefer-Emmanouilidis;Karina Avila;Paul Lukowicz;Jochen Kuhn;Stefan Küchemann;Jakob Karolus.In HHAI 2024: Hybrid Human AI Systems for the Social Good (2024) [https://ebooks.iospress.nl/volumearticle/68012 ]
  24. Improving Disaster Response by Combining Automated Text Information Extraction from Images and Text on Social Media.Hafiz Budi Firmansyah;Carlo Alberto Bono;Valerio Lorini;Jesus Cerquides;Jose Luis Fernandez-Marquez.In Volume 375: Artificial Intelligence Research and Development (2023) [https://ebooks.iospress.nl/doi/10.3233/FAIA230701 ]

 

Publication in Conference proceedings/Workshop

  1. Continual Learning with Pretrained Backbones by Tuning in the Input Space.Simone Marullo;Matteo Tiezzi;Marco Gori;Stefano Melacci;Tinne Tuytelaars.In 2023 International Joint Conference on Neural Networks (IJCNN) (2023) [https://ieeexplore.ieee.org/abstract/document/10191069/]  
  2. Governance by Glass-Box: Implementing Transparent Moral Bounds for AI Behaviour.Andrea Aler Tubella;Andreas Theodorou;Frank Dignum;Virginia Dignum.In 28th International Joint Conference on Artificial Intelligence (IJCAI-2019) (2019) [http://dx.doi.org/10.24963/ijcai.2019/802
  3. Agents are dead. Long live agents!.Virginia Dignum;Frank Dignum.In AAMAS ’20: Proceedings of the 19th International Conference on Autonomous Agents and MultiAgent Systems (2020) [https://dl.acm.org/doi/abs/10.5555/3398761.3398957]
  4. Analyzing Differentiable Fuzzy Implications.Emile van Krieken;Erman Acar;Frank van Harmelen.In 17th International Conference on Principles of Knowledge Representation and Reasoning (KR 2020) (2020) [http://dx.doi.org/10.48550/arxiv.2006.03472]  
  5. Distance-Based Equilibria in Normal-Form Games.Erman Acar;Reshef Meir.In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI-20) (2020) [http://dx.doi.org/10.1609/aaai.v34i02.5540
  6. On Sufficient and Necessary Conditions in Bounded CTL: A Forgetting Approach.Renyan Feng;Erman Acar;Stefan Schlobach;Yisong Wang;Wanwei Liu.In 17th International Conference on Principles of Knowledge Representation and Reasoning — Main Track (2020) (2020) [http://dx.doi.org/10.24963/kr.2020/37]
  7. PAC-Bayes Analysis Beyond the Usual Bounds.Omar Rivasplata;Ilja Kuzborskij;Csaba Szepesvari;John Shawe-Taylor.In Advances in Neural Information Processing Systems 33 (NeurIPS 2020) (2020) [http://dx.doi.org/10.48550/arxiv.2006.13057]
  8. PAC-Bayesian Bound for the Conditional Value at Risk.Zakaria Mhammedi;Benjamin Guedj;Robert C. Williamson.In Advances in Neural Information Processing Systems 33 (NeurIPS 2020) (2020) [http://dx.doi.org/10.48550/arxiv.2006.14763]
  9. Revisiting the Notion of Extension over Incomplete Abstract Argumentation Framework.Bettina Fazzinga;Sergio Flesca;Filippo Furfaro.In Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence Main track (2020) [http://dx.doi.org/10.24963/ijcai.2020/237]
  10. A new approach for cross-silo federated learning and its privacy risks.Michele Fontana;Francesca Naretto;Anna Monreale.In 2021 18th International Conference on Privacy, Security and Trust (PST) (2021) [https://ieeexplore.ieee.org/abstract/document/9647753/]
  11. A Preliminary Evaluation of a Privacy-Preserving Dialogue System.Manfred Jeusfeld;Christoph Lange.In CEUR workshop proceedings (2021) [http://dx.doi.org/10.5281/zenodo.3556677]
  12. Adapting User Interfaces with Model-based Reinforcement Learning.Kashyap Todi;Gilles Bailly;Luis Leiva;Antti Oulasvirta.In CHI ’21: Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems (2021) [http://dx.doi.org/10.1145/3411764.3445497]
  13. Adversarial Regularized Reconstruction for Anomaly Detection and Generation..Angelica Liguori;Giuseppe Manco;Francesco Sergio Pisani;Ettore Ritacco.In 2021 IEEE International Conference on Data Mining (ICDM) (2021) [http://dx.doi.org/10.1109/icdm51629.2021.00145]
  14. An Argumentative Dialogue System for COVID-19 Vaccine Information.Bettina Fazzinga;Andrea Galassi;Paolo Torroni.In Logic and Argumentation (2021). Lecture Notes in Computer Science (2021) [https://ui.adsabs.harvard.edu/link_gateway/2021arXiv210712079F/doi:10.48550/arXiv.2107.12079]
  15. Assisting Motor Skill Transfer for Dance StudentsUsing Wearable Feedback.Steeven Villa;Jasmin Niess;Bettina Eska;Albrecht Schmidt;Tonja-Katrin Machulla.In ISWC ’21: Proceedings of the 2021 ACM International Symposium on Wearable Computers (2021) [https://dl.acm.org/doi/abs/10.1145/3460421.3478817]
  16. Boosting synthetic data generation with effective nonlinear causal discovery.Martina Cinquini;Fosca Giannotti;Riccardo Guidotti.In 2021 IEEE Third International Conference on Cognitive Machine Intelligence (CogMI) (2021) [https://ieeexplore.ieee.org/abstract/document/9750370/]
  17. Collecting a Dataset of Gestures for Skill Assessment in the Field: a beach volleyball serves case study.Mathias Ciliberto;Luis Alejandro Ponce Cuspinera;Daniel Roggen.In UbiComp/ISWC ’21 Adjunct: Adjunct Proceedings of the 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2021 ACM International Symposium on Wearable Computers (2021) [https://dl.acm.org/doi/abs/10.1145/3460418.3479355]
  18. Contextualizing trending entities in news stories.Marco Ponza;Diego Ceccarelli;Paolo Ferragina;Edgar Meij;Sambhav Kothari.In WSDM ’21: Proceedings of the 14th ACM International Conference on Web Search and Data Mining (2021) [https://dl.acm.org/doi/abs/10.1145/3437963.3441765]
  19. Définition et détection des incohérences du systeme dans les dialogues orientés tâche.(we present experiments on automatically detecting inconsistent behavior of ….Léon-Paul Schaub;Vojtech Hudecek;Daniel Stancl;Ondrej Dusek;Patrick Paroubek.In la 28e Conférence sur le Traitement Automatique des Langues Naturelles. Volume 1 : conférence principale (2021) [https://aclanthology.org/2021.jeptalnrecital-taln.13/]
  20. Designing shapelets for interpretable data-agnostic classification.Riccardo Guidotti;Anna Monreale.In AIES ’21: Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Socie (2021) [https://dl.acm.org/doi/abs/10.1145/3461702.3462553]
  21. Dynamics of scientific collaboration networks due to academic migrations.Pavlos Paraskevopoulos;Chiara Boldrini;Andrea Passarella;Marco Conti.In Social Informatics – 12th International Conference, SocInfo 2020 (2021) [http://dx.doi.org/10.1007/978-3-030-60975-7_21]
  22. Exemplars and counterexemplars explanations for image classifiers, targeting skin lesion labeling.Carlo Metta;Riccardo Guidotti;Yuan Yin;Patrick Gallinari;Salvatore Rinzivillo.In 2021 IEEE Symposium on Computers and Communications (ISCC) (2021) [http://dx.doi.org/10.1109/iscc53001.2021.9631485]
  23. Fairshades: Fairness auditing via explainability in abusive language detection systems.Marta Marchiori Manerba;Riccardo Guidotti.In 2021 IEEE Third International Conference on Cognitive Machine Intelligence (CogMI) (2021) [https://ieeexplore.ieee.org/abstract/document/9750356/]
  24. Glocalx-from local to global explanations of black box ai models.Mattia Setzu;Riccardo Guidotti;Anna Monreale;Franco Turini;Dino Pedreschi;Fosca Giannotti.In Artificial Intelligence 294 (2021) (2021) [https://www.sciencedirect.com/science/article/pii/S0004370221000084]
  25. Health literature hybrid AI for health improvement; a design analysis for diabetes &hypertension.Luuk P.A. Simons;Mark A. Neerincx;Catholijn M. Jonker.In BLED 2021 (2021) [https://aisel.aisnet.org/bled2021/5/]
  26. Hyper-parameter optimization for latent spaces.Bruno Veloso;Luciano Caroprese;Matthias König;Sónia Teixeira;Giuseppe Manco;Holger H. Hoos;João Gama.In Machine Learning and Knowledge Discovery in Databases. Research Track – European Conference, ECML PKDD 2021 (Part III) (2021) [https://link.springer.com/chapter/10.1007/978-3-030-86523-8_16]
  27. Introduction to intelligent user interfaces.Albrecht Schmidt;Sven Mayer;Daniel Buschek.In CHI EA ’21: Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems (2021) [https://dl.acm.org/doi/abs/10.1145/3411763.3445021]
  28. Learning Ideological Embeddings from Information Cascades.Corrado Monti;Giuseppe Manco;Cigdem Aslay;Francesco Bonchi.In CIKM ’21: Proceedings of the 30th ACM International Conference on Information & Knowledge Management (2021) [http://dx.doi.org/10.1145/3459637.3482444]
  29. Locomotion and transportation Mode Recognition from GPS and radio signals: Summary of SHL Challenge 2021.Lin Wang;Mathias Ciliberto;Hristijan Gjoreski;Paula Lago;Kazuya Murao;Tsuyoshi Okita;Daniel Roggen.In UbiComp/ISWC ’21 Adjunct: Adjunct Proceedings of the 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2021 ACM International Symposium on Wearable Computers (2021) [https://dl.acm.org/doi/abs/10.1145/3460418.3479373]
  30. News Stream Clustering using Multilingual Language Models.Erik Novak.In Information Society 2021 (2021) [https://www.researchgate.net/profile/Erik-Novak-2/publication/360080269_News_Stream_Clustering_using_Multilingual_Language_Models/links/6260f2be8cb84a40ac7db4e2/News-Stream-Clustering-using-Multilingual-Language-Models.pdf]
  31. On the complexity of sum-of-products problems over semirings.Thomas Eiter;Rafael Kiesel.In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI-21) (2021) [https://ojs.aaai.org/index.php/AAAI/article/view/16783]
  32. Privacy risk assessment of individual psychometric profiles.Giacomo Mariani;Anna Monreale;Francesca Naretto.In Discovery Science – 24th International Conference 2021Proceedings (2021) [https://link.springer.com/chapter/10.1007/978-3-030-88942-5_32]
  33. Reasoning over Argument-Incomplete AAFs in the Presence of Correlations.Bettina Fazzinga;Sergio Flesca;Filippo Furfaro.In Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence Main Track (2021) [http://dx.doi.org/10.24963/ijcai.2021/27]
  34. Structural invariants in individuals language use: the “ego network” of words.Kilian Ollivier;Chiara Boldrini;Andrea Passarella;Marco Conti.In Social Informatics – 12th International Conference, SocInfo 2020, Pisa, Italy, October 6–9, 2020, Proceedings (2021) [http://dx.doi.org/10.1007/978-3-030-60975-7_20]
  35. The End of Serendipity: Will Artificial Intelligence Remove Chance and Choice in Everyday Life?.Albrecht Schmidt.In CHItaly ’21: Proceedings of the 14th Biannual Conference of the Italian SIGCHI Chapter (2021) [https://dl.acm.org/doi/abs/10.1145/3464385.3464763]
  36. Toward Genre Adapted Closed Captioning.François Buet;François Yvon.In Interspeech 2021 (2021) [http://dx.doi.org/10.21437/interspeech.2021-1762]
  37. Towards a Competence-Based Approach to Allocate Teams to Tasks.Athina Georgara;Juan A. Rodriguez-Aguilar;Carles Sierra.In AAMAS ’21: 20th International Conference on Autonomous Agents and Multiagent Systems, (2021) [http://dx.doi.org/10.5555/3463952.3464140]
  38. Value-Guided Synthesis of Parametric Normative Systems,.Nieves Montes;Carles Sierra.In AAMAS ’21: 20th International Conference on Autonomous Agents and Multiagent Systems (2021) [http://dx.doi.org/10.5555/3463952.3464060]
  39. Why polls fail to predict elections.Zhenkun Zhou;Matteo Serafino;Luciano Cohan;Guido Caldarelli;Hernán A. Makse.In Journal of Big Data (2021) [https://link.springer.com/article/10.1186/s40537-021-00525-8]
  40. X5Learn: A Personalised Learning Companion at the Intersection of AI and HCI.Maria Perez-Ortiz;Claire Dormann;Yvonne Rogers;Sahan Bulathwela;Stefan Kreitmayer;Emine Yilmaz;Richard Noss;John Shawe-Taylor.In IUI ’21 Companion: Companion Proceedings of the 26th International Conference on Intelligent User Interfaces (2021) [http://dx.doi.org/10.1145/3397482.3450721]
  41. A Qualitative Temporal Extension of Here-and-There Logic.Thomas Eiter;Patrik Schneider.In Logic Programming and Nonmonotonic Reasoning – 16th International Conference, LPNMR 2022, Genova, Italy, September 5–9, 2022, Proceedings (2022) [https://link.springer.com/chapter/10.1007/978-3-031-15707-3_13]
  42. A survey of decision support mechanisms for negotiation.Reyhan Aydoğan;Catholijn M. Jonker .In Recent Advances in Agent-Based Negotiation: Applications and Competition Challenges ( IJCAI 2022) (2022) [https://link.springer.com/chapter/10.1007/978-981-99-0561-4_3]
  43. A Unifying View On Task-oriented Dialogue Annotation.Vojtěch Hudeček;Léon-Paul Schaub;Daniel Štancl;Patrick Paroubek;Ondřej Dušek.In Proceedings of the 13th Conference on Language Resources and Evaluation (LREC 2022) (2022) [https://hdl.handle.net/11346/BIBLIO@id=-1465947880108986498]
  44. Accommodating Missing Modalities in Time-Continuous Multi- modal Emotion Recognition.Juan Vazquez-Rodriguez;Grégoire Lefebvr;Julien Cumin;James L. Crowley.In ACII 2023. (2022) [https://arxiv.org/abs/2311.10119]
  45. Adversarial deep feature extraction network for user independent human activity recognition.Sungho Suh;Vitor Fortes Rey;Paul Lukowicz.In 2022 IEEE International Conference on Pervasive Computing and Communications (PerCom) (2022) [https://ieeexplore.ieee.org/abstract/document/9762387/]
  46. Allocating teams to tasks: an anytime heuristic competence-based approach.Athina Georgara;Juan A. Rodríguez-Aguilar;Carles Sierra.In Multi-Agent Systems – 19th European Conference, EUMAS 2022, Düsseldorf, Germany, September 14–16, 2022, Proceedings (2022) [https://link.springer.com/chapter/10.1007/978-3-031-20614-6_9]
  47. Automated Configuration and Usage of Strategy Portfolios for Bargaining.Bram M. Renting;Holger H. Hoos;Catholijn M. Jonker.In AAMAS ’22: Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems (2022) [https://dl.acm.org/doi/10.5555/3535850.3535973]
  48. Benchmark Analysis of Black Box Local Explanation Methods..Francesca Naretto;Francesco Bodria;Fosca Giannotti;Dino Pedreschi.In CEUR Workshop Proceedings: XAI.it 2022 – Italian Workshop on Explainable Artificial Intelligence  (2022) [https://ceur-ws.org/Vol-3277/paper5.pdf]
  49. Bidding support by the pocket negotiator improves negotiation outcomes.Reyhan Aydoğan;Catholijn M. Jonker .In International Joint Conference on Artificial Intelligence: Recent Advances in Agent-Based Negotiation: Applications and Competition Challenges (IJCAI 2022) (2022) [https://link.springer.com/chapter/10.1007/978-981-99-0561-4_4]
  50. Building contrastive explanations for multi-agent team formation.Athina Georgara;Juan A. Rodriguez-Aguilar;Carles Sierra.In Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2022) (2022) [https://iiia.csic.es/media/filer_public/ce/41/ce4113c7-499a-4fd5-9f3b-65ceb9494e9d/fp464-georgara.pdf]
  51. CALIME: Causality-aware local interpretable model-agnostic explanations.Martina Cinquini;Riccardo Guidotti .In Explainable Artificial Intelligence – Second World Conference, xAI 2024, Valletta, Malta, July 17–19, 2024, Proceedings, Part III (2022) [https://link.springer.com/chapter/10.1007/978-3-031-63800-8_6]
  52. Cascade-based echo chamber detection.Marco Minici;Federico Cinus;Corrado Monti;Francesco Bonchi;Giuseppe Manco.In CIKM ’22: Proceedings of the 31st ACM International Conference on Information & Knowledge Management (2022) [https://dl.acm.org/doi/abs/10.1145/3511808.3557253]
  53. Concept embedding models: Beyond the accuracy-explainability trade-off.Mateo Espinosa Zarlenga;Pietro Barbiero;Frédéric Precioso;Gabriele Ciravegna;Giuseppe Marra;Francesco Giannini;Michelangelo Diligenti;Stefano Melacci;Adrian Weller;Pietro Lio;Mateja Jamnik .In Advances in Neural Information Processing Systems, Nov 2022 (2022) [https://hal.science/hal-03854550/]
  54. Connected vehicle simulation framework for parking occupancy prediction (demo paper).Pierpaolo Resce;Lukas Vorwerk;Zhiwei Han;Giuliano Cornacchia;Omid Isfahani Alamdari;Mirco Nanni;Luca Pappalardo;Daniel Weimer;Yuanting Liu.In SIGSPATIAL ’22: Proceedings of the 30th International Conference on Advances in Geographic Information Systems (2022) [http://dx.doi.org/10.1145/3557915.3560995]
  55. Considering Constraint Monotonicity and Foundedness in Answer Set Programming..Yi-Dong Shen;Thomas Eiter.In Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence (IJCAI-22) (2022) [https://www.ijcai.org/proceedings/2022/0380.pdf]
  56. Contextualising goal setting for behaviour change–from baby steps to value directions.Helena Lindgren;Saskia Weck.In ECCE ’22: Proceedings of the 33rd European Conference on Cognitive Ergonomics (2022) [https://dl.acm.org/doi/abs/10.1145/3552327.3552342]
  57. Demonstrating Optimized Delegation between AI and Human Agents.Andrew Fuchs;Andrea Passarella;Marco Conti.In 2022 IEEE International Conference on Smart Computing (SMARTCOMP) (2022) [https://ieeexplore.ieee.org/abstract/document/9821047/]
  58. Detecting addiction, anxiety, and depression by users psychometric profiles.Anna Monreale;Benedetta Iavarone;Elena Rossetto;Andrea Beretta.In WWW ’22: Companion Proceedings of the Web Conference 202 (2022) [https://dl.acm.org/doi/abs/10.1145/3487553.3524918]
  59. Does Personalization Help? Predicting How Social Situations Affect Personal Values.Ilir Kola;Ralvi Isufaj;Catholijn M. Jonker.In HHAI2022: Augmenting Human Intellect (2022) [https://www.hhai-conference.org/wp-content/uploads/2022/06/hhai-2022_paper_51.pdf]
  60. Emotion Recognition with Pre-Trained Transformers Using Multimodal Signals.Juan Vazquez-Rodriguez;Grégoire Lefebvre;Julien Cumin;James L. Crowley.In ACII 2023: IEEE Transactions on Affective Computing (2022) [https://arxiv.org/pdf/2212.13885.pdf]
  61. Evaluating the privacy exposure of interpretable global explainers.Francesca Naretto;Anna Monreale;Fosca Giannotti.In 2022 IEEE 4th International Conference on Cognitive Machine Intelligence (CogMI) (2022) [https://ieeexplore.ieee.org/abstract/document/10063510/]
  62. Explaining Black Box with Visual Exploration of Latent Space..Francesco Bodria;Salvatore Rinzivillo;Daniele Fadda;Riccardo Guidotti;Fosca Giannotti;Dino Pedreschi..In EUROVIS 2022 (2022) [https://diglib.eg.org/bitstreams/af787e63-fa8c-49ab-b25c-7df6f86d5919/download]
  63. Explaining crash predictions on multivariate time series data.Francesco Spinnato;Riccardo Guidotti;Mirco Nanni;Daniele Maccagnola;Giulia Paciello;Antonio Bencini Farina .In Discovery Science – 25th International Conference, DS 2022, Montpellier, France, October 10–12, 2022, Proceedings (2022) [https://link.springer.com/chapter/10.1007/978-3-031-18840-4_39]
  64. Explaining siamese networks in few-shot learning for audio data.Andrea Fedele;Riccardo Guidotti;Dino Pedreschi .In Discovery Science – 25th International Conference, DS 2022, Montpellier, France, October 10–12, 2022, Proceedings (2022) [https://link.springer.com/chapter/10.1007/978-3-031-18840-4_36]
  65. Exposing Racial Dialect Bias in Abusive Language Detection: Can Explainability Play a Role?.Marta Marchiori Manerba;Virginia Morini .In Machine Learning and Principles and Practice of Knowledge Discovery in Databases – International Workshops of ECML PKDD 2022, Grenoble, France, September 19–23, 2022, Proceedings, Part I (2022) [https://link.springer.com/chapter/10.1007/978-3-031-23618-1_32]
  66. Extending logic explained networks to text classification.Rishabh Jain;Gabriele Ciravegna;Pietro Barbiero;Francesco Giannini;Davide Buffelli;Pietro Lio.In Proceedings of the 2022 EMNLP Conference , pages 8838-8857. ACL (2022) (2022) [https://arxiv.org/abs/2211.09732]
  67. Hierarchical feature recovery for robust human activity recognition in body sensor networks.Nobuyuki Oishi;Paula Lago;Phil Birch;Daniel Roggen.In UbiComp/ISWC ’22 Adjunct: Adjunct Proceedings of the 2022 ACM International Joint Conference on Pervasive and Ubiquitous Computing and the 2022 ACM International Symposium on Wearable Computers (2022) [https://dl.acm.org/doi/abs/10.1145/3544793.3560392]
  68. How routing strategies impact urban emissions.Giuliano Cornacchia;Matteo Böhm;Giovanni Mauro;Mirco Nanni;Dino Pedreschi;Luca Pappalardo.In SIGSPATIAL ’22: Proceedings of the 30th International Conference on Advances in Geographic Information Systems (2022) [https://dl.acm.org/doi/abs/10.1145/3557915.3560977]
  69. I Learn to Diffuse, or Data Alchemy 101: a Mnemonic Manifesto.Victor Schetinger;Velitchko Filipov;Ignacio Pérez-Messina;Ethan Smith;Rodrigo Oliveira de Oliveira.In arXiv (2022) [https://arxiv.org/abs/2208.03998]
  70. Interpretable latent space to enable counterfactual explanations.Francesco Bodria;Riccardo Guidotti;Fosca Giannotti;Dino Pedreschi .In Discovery Science – 25th International Conference, DS 2022, Montpellier, France, October 10–12, 2022, Proceedings (2022) [https://link.springer.com/chapter/10.1007/978-3-031-18840-4_37]
  71. Investigating debiasing effects on classification and explainability.Marta Marchiori Manerba;Riccardo Guidotti.In AIES ’22: Proceedings of the 2022 AAAI/ACM Conference on AI, Ethics, and Society (2022) [https://dl.acm.org/doi/abs/10.1145/3514094.3534170]
  72. Making a Semantic Event-type Ontology Multilingual.Zdenka Uresova;Karolina Zaczynska;Peter Bourgonje;Eva Fučíková;Georg Rehm;Jan Hajič;.In 13th Conference on Language Resources and Evaluation (LREC 2022) (2022) [https://hdl.handle.net/11346/BIBLIO@id=-4645307384867043135]
  73. Monitoring fairness in HOLDA.Michele Fontana;Francesca Naretto;Anna Monreale;Fosca Giannotti.In International Conference on Human-Human Interaction in Artificial Intelligence (HHAI 2022) (2022) [https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA220205]
  74. Mulbot: Unsupervised bot detection based on multivariate time series.Lorenzo Mannocci;Stefano Cresci;Anna Monreale;Athina Vakali;Maurizio Tesconi.In 2022 IEEE International Conference on Big Data (Big Data) (2022) [https://ieeexplore.ieee.org/abstract/document/10020363/]
  75. Multilingual SynSemClass for the Semantic Web (MSSW).Jan Hajič;Zdeňka Urešová;Eva Fučíková;Cristina Fernández-Alcaina;Jana Straková;Thierry Declerck.In HumanE AI Conference 2022 (2022) [https://hdl.handle.net/11346/BIBLIO@id=-8796251361066710186]
  76. Multimodal Sentiment and Personality Perception Under Speech: A Comparison of Transformer-based Architectures.Ádám Fodor;Rachid Saboundji;Julio Jacques;Sergio Escalera;David Gallardo-Pujol;András Lőrincz.In Understanding Social Behavior in Dyadic and Small Group Interactions (PMLR 2022) (2022) [https://proceedings.mlr.press/v173/fodor22a.html]
  77. Partime: Scalable and parallel processing over time with deep neural networks.Enrico Meloni;Lapo Faggi;Simone Marullo;Alessandro Betti;Matteo Tiezzi;Marco Gori;Stefano Melacci.In 2022 21st IEEE International Conference on Machine Learning and Applications (ICMLA) (2022) [https://ieeexplore.ieee.org/abstract/document/10068971/]
  78. Pragmatically learning from pedagogical demonstrations in multi-goal environments.Hugo Caselles-Dupré;Olivier Sigaud;Mohamed Chetouani.In Advances in Neural Information Processing Systems 35 (NeurIPS 2022) (2022) [https://proceedings.neurips.cc/paper_files/paper/2022/hash/b44ae90136013a8d0e2d24f6015b6097-Abstract-Conference.html]
  79. Privacy risk of global explainers.Francesca Naretto;Anna Monreale;Fosca Giannotti.In International Conference on Human-Human Interaction in Artificial Intelligence (HHAI 2022) (2022) [https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA220206]
  80. Privacy-Aware Explanations for Team Formation.Athina Georgara;Juan Rodríguez-Aguilar;Carles Sierra.In International Conference on Principles and Practice of Multi-Agent Systems (2022) [https://link.springer.com/chapter/10.1007/978-3-031-21203-1_32]
  81. Self-Supervised Transformers for Unsupervised Object Discovery using Normalized Cut.Yangtao Wang;Xi Shen;Shell Hu;Yuan Yuan;James Crowley;Dominique Vaufreydaz.In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2022) (2022) [Self-Supervised Transformers for Unsupervised Object Discovery using Normalized Cut, Y. Wang, X. Shen, S. Hu, Y. Yuan, J. L. Crowley, D. Vaufreydaz, IEEE International Conference on Computer Vision and Pattern Recognition, CVPR 2022, pp14543-14553, New Orleans, Jun 2022.]
  82. Speaker adaptation for Wav2vec2 based dysarthric ASR.Murali Baskar;Tim Herzig;Diana Nguyen;Mireia Diez;Tim Polzehl;Lukas Burget;Jan Černocký.In Interspeech 2022 (2022) [http://dx.doi.org/10.21437/interspeech.2022-10896]
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