The Adaptive Nature of Text-Driven Law, Mireille Hildebrandt, 2022, Journal of Cross-Disciplinary Research in Computational Law, 1(1), 1–14, COHUBICOL, Bruxelles, BE, (download)
Smart technologies, Mireille Hildebrandt, 2020, Internet Policy Review, 9/4, 1–16, Institute for Internet and Society, Germany, 10.14763/2020.4.1531 (download)
A choices framework for the responsible use of AI, Richard Benjamins, 2021, AI and Ethics, 1/1, 49–53, Springer, NY, USA, 10.1007/s43681-020-00012-5 (download)
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, Antske Fokkens, Davide Grossi, Koen Hindriks, Holger Hoos, Hayley Hung, Catholijn Jonker, Christof Monz, Mark Neerincx, Frans Oliehoek, Henry Prakken, Stefan Schlobach, Linda van der Gaag, Frank van Harmelen, Herke van Hoof, Birna van Riemsdijk, Aimee van Wynsberghe, Rineke Verbrugge, Bart Verheij, Piek Vossen, Max Welling, 2020, Computer, 53/8, 18–28, IEEE, USA, 10.1109/mc.2020.2996587 (download)
AI — the people and places that make, use and manage it, Virginia Dignum, 2021, Nature, 593/7860, 499–500, Nature Grp, London, UK, 10.1038/d41586-021-01397-x, (download)
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, 2020, Nature Communications, 11/1, 233, Nature Grp, London, UK, 10.1038/s41467-019-14108-y, (download)
Revisiting Multi-Domain Machine Translation, MinhQuang Pham, Josep Maria Crego, François Yvon, 2021, Transactions of the Association for Computational Linguistics, 9, 17–35, ACL, NY, USA, 10.1162/tacl_a_00351, (download)
TrueLearn: A Family of Bayesian Algorithms to Match Lifelong Learners to Open Educational Resources, Sahan Bulathwela, Maria Perez-Ortiz, Emine Yilmaz, John Shawe-Taylor, 2020, Proceedings of the AAAI Conference on Artificial Intelligence, 34/01, 565–573, AAAI, NY, USA, 10.1609/aaai.v34i01.5395, (download)
Towards an Integrative Educational Recommender for Lifelong Learners (Student Abstract), Sahan Bulathwela, María Pérez-Ortiz, Emine Yilmaz, John Shawe-Taylor, 2020, Proceedings of the AAAI Conference on Artificial Intelligence, 34/10, 13759-13760, AAAI, NY, USA, 10.1609/aaai.v34i10.7151, https://doi.org/10.1609/aaai.v34i10.7151 (download)
PAC-Bayes unleashed: generalisation bounds with unbounded losses, Maxime Haddouche, Benjamin Guedj, Omar Rivasplata, John Shawe-Taylor, 2021, Entropy, 23 (10), 1330, MDPI Open Access, CH, 10.3390/e23101330, (download)
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, 2020, Artificial Intelligence, 283, 103258, Elsevier, NL, 10.1016/j.artint.2020.103258, (download)
Analyzing Differentiable Fuzzy Logic Operators, Emile van Krieken, Erman Acar, Frank van Harmelen, 2021, Artificial Intelligence, 302, 103602, Elsevier, NL, 10.1016/j.artint.2021.103602, (download)
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, 2021, ACM Computing Surveys, 54/4, 1–37, ACM, USA, 10.1145/3447772, (download)
True scale-free networks hidden by finite size effects., Matteo Serafino; Giulio Cimini; Amos Maritan; Andrea Rinaldo; Andrea Rinaldo; Samir Suweis; Jayanth R. Banavar; Guido Caldarelli, 2020, PNAS, 118 (2), e2013825118, Natl.Acad.Sci, NY, USA, 10.1073/pnas.2013825118, (download)
The physics of financial networks, Marco Bardoscia; Marco Bardoscia; Paolo Barucca; Stefano Battiston; Stefano Battiston; Fabio Caccioli; Fabio Caccioli; Giulio Cimini; Giulio Cimini; Diego Garlaschelli; Diego Garlaschelli; Fabio Saracco; Tiziano Squartini; Guido Caldarelli, 2021, Nature Review Physics, 3, 490–507, Nature Grp, London, UK, 10.5167/uzh-208604, (download)
A sociotechnical perspective for the future of AI: narratives, inequalities, and human control, Sartori, Laura; Theodorou, Andreas, 2022, Ethics of Information Technology, 24, 1–11, Springer, NY, USA, 10.1007/s10676-022-09624-3, (download)
Data-driven strategies for optimal bicycle network growth., Luis Guillermo Natera Orozco; Federico Battiston; Gerardo Iñiguez; Gerardo Iñiguez; Gerardo Iñiguez; Michael Szell; Michael Szell, 2020, Royal Society Open Science, 7 (12), 201130, Royal Society, London, UK, 10.1098/rsos.201130, (download)
The academic wanderer: structure of collaboration network and relation with research performance, Pavlos Paraskevopoulos; Chiara Boldrini; Andrea Passarella; Marco Conti, 2021, Applied Network Science, 6/1, 1–35, Springer, NY, USA, 10.1007/s41109-021-00369-4, (download)
Let Me Take Over: Variable Autonomy for Meaningful Human Control., Leila Methnani; Andrea Aler Tubella; Virginia Dignum; Andreas Theodorou, 2021, Frontiers in Artificial Intelligence, 4, 737072, Frontiers, Laussane, CH, 10.3389/frai.2021.737072, (download)
Optimising cost vs accuracy of decentralised analytics in fog computing environments, Lorenzo Valerio; Andrea Passarella; Marco Conti, 2021, IEEE Transactions on Network Science and Engineering, 3, , IEEE, USA, 10.1109/tnse.2021.3101986, (download)
The Solution of the Deep Boltzmann Machine on the Nishimori Line, Diego Alberici; Francesco Camilli; Pierluigi Contucci; Emanuele Mingione, 2021, Communications in Mathematical Physics, 387, 1191–1214, Springer, NY, USA, 10.1007/s00220-021-04165-0, (download)
Deep Learning Exploration of Agent-Based Social Network Model Parameters., Yohsuke Murase; Hang-Hyun Jo; János Török; János Török; János Török; János Kertész; János Kertész; Kimmo Kaski; Kimmo Kaski, 2021, Frontiers in Big Data, 4, 739081, Frontiers, Laussane, CH, 10.3389/fdata.2021.739081, (download)
Emergent spatial patterns of coexistence in species-rich plant communities., Pablo Villegas; Tommaso Gili; Guido Caldarelli, 2021, Physical Review E, 104, 34305, APS, MD, USA, 10.1103/physreve.104.034305, (download)
A Robust Solution to Variational Importance Sampling of Minimum Variance. Jerónimo Hernández-González; Jesús Cerquides, 2020, Entropy, 22/12, 1405, MDPI Open Access, CH, 10.3390/e22121405, (download)
The ambiguity of nestedness under soft and hard constraints, Matteo Bruno; Fabio Saracco; Diego Garlaschelli; Diego Garlaschelli; Claudio J. Tessone; Guido Caldarelli, 2020, Nature Scientific Reports, 10/1, 1–13, Nature Grp, London, UK, 10.5167/uzh-194402, (download)
A Conceptual Probabilistic Framework for Annotation Aggregation of Citizen Science Data, Jesús Cerquides; Mehmet Oğuz Mülâyim; Jerónimo Hernández-González; Amudha Ravi Shankar; Jose Luis Fernandez-Marquez, 2021, Mathematics (MDPI), 9/8, 875, MDPI Open Access, CH, 10.3390/math9080875, (download)
On the Convergence of Stochastic Process Convergence Proofs, Sánchez-López, Borja; Cerquides, Jesus, 2021, Mathematics (MDPI), 9/13, 1470, MDPI Open Access, CH, 10.3390/math9131470, (download)
Evaluating local explanation methods on ground truth, Riccardo Guidotti; Riccardo Guidotti, 2021, Artificial Intelligence, 291, 2021–2016, Elsevier, NL, 10.1016/j.artint.2020.103428, (download)
Italian Twitter semantic network during the Covid-19 epidemic., Mattia Mattei; Guido Caldarelli; Tiziano Squartini; Fabio Saracco, 2021, EPJ Data Science, 10, 47, Springer, NY, USA, 10.1140/epjds/s13688-021-00301-x, (download)
Knowledge Graphs, Hogan, A.; Blomqvist, E.; Cochez, M.; D' Amato, C.; Melo, G. D.; Gutierrez, C.; Kirrane, S.; Gayo, J. E. L.; Navigli, R.; Neumaier, S.; Ngomo, A. -C. N.; Polleres, A.; Rashid, S. M.; Rula, A.; Schmelzeisen, L.; Sequeda, J.; Staab, S.; Zimmermann, A., 2022, ACM Computing Surveys, 54/4, 1–37, ACM, USA, 10.1145/3447772, (download)
Effect of algorithmic bias and network structure on coexistence, consensus, and polarization of opinions., Antonio F. Peralta; Matteo Neri; János Kertész; Gerardo Iñiguez; Gerardo Iñiguez; Gerardo Iñiguez, 2021, Physical Review E, 104, , APS, MD, USA, 10.1103/physreve.104.044312, (download)
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, 2021, Sustainability, 13/20, 111622, MDPI Open Access, CH, 10.3390/su132011162, (download)
Controlling systemic risk: Network structures that minimize it and node properties to calculate it., Sebastian M. Krause; Hrvoje Štefančić; Guido Caldarelli; Guido Caldarelli; Vinko Zlatić, 2021, Physical Review E, 103, 42304, APS, MD, USA, 10.1103/physreve.103.042304, (download)
Dynamic hard pruning of Neural Networks at the edge of the internet, Valerio, Lorenzo; Nardini, Franco Maria; Passarella, Andrea; Perego, Raffaele, 2022, Journal of network and computer applications, 200, 103330, Academic Press, USA, 10.1016/j.jnca.2021.103330, (download)
Budapest bicycle network growth; Manhattan bicycle network growth from Data-driven strategies for optimal bicycle network growth, Orozco, Luis Guillermo Natera; Battiston, Federico; Iguez, Gerardo; Szell, Michael, 2020, Royal Society Open Science, 7, 1–27, Royal Society, London, UK, 10.6084/m9.figshare.13336684.v1, (download)
Flow of online misinformation during the peak of the COVID-19 pandemic in Italy, Guido Caldarelli; Guido Caldarelli; Rocco De Nicola; Marinella Petrocchi; Marinella Petrocchi; Manuel Pratelli; Fabio Saracco, 2021, EPJ Data Science, 34, 1–23, Springer, NY, USA, 10.1140/epjds/s13688-021-00289-4, (download)
Prediction and Explanation of Privacy Risk on Mobility Data with Neural Networks, Francesca Naretto; Roberto Pellungrini; Franco Maria Nardini; Fosca Giannotti, 2021, Communications in computer and information science, 12, 501-516, Springer, NY, USA, 10.1007/978-3-030-65965-3_34, (download)
A perspective on complexity and networks science, Guido Caldarelli; Guido Caldarelli, 2020, Journal of Physics: Complexity, 1, 21001, IOP, Bristol, UK, 10.1088/2632-072x/ab9a24, (download)
Opinion formation on social networks with algorithmic bias: Dynamics and bias imbalance, Antonio F. Peralta; János Kertész; Gerardo Iñiguez, 2021, Journal of Physics: Complexity, 2, 45009, IOP, Bristol, UK, 10.1088/2632-072x/ac340f, (download)
Viewpoint: Ethical By Designer – How to Grow Ethical Designers of Artificial Intelligence, Lois Vanhée, Melania Borit, 2022, Journal of Artificial Intelligence Research, 73, 1–13, Morgan Kaufmann, USA, 10.1613/jair.1.13135, (download)
The Issue of Proxies and Choice Architectures. Why EU Law Matters for Recommender Systems, Mireille Hildebrandt, 2022, Frrontiers in Artificial Intelligence, 5, 789076, Frontiers, Laussane, CH, 10.3389/frai.2022.789076, (download)
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”, 2022, Journal of Artificial Intelligence Research, 73, 1–33, Morgan Kaufmann, USA, 10.1613/jair.1.13550, (download)
SkyPort: Investigating 3D Teleportation Methods in Virtual Environments, “Andrii Matviienko Florian Müller Martin Schmitz Marco Fendrich Max Mühlhäuser”, 2022, ACM Digital Library, 516, 1—11, ACM, USA, 10.1145/3491102.3501983, (download)
BikeAR: Understanding Cyclists’ Crossing Decision-Making at Uncontrolled Intersections using Augmented Reality, “Andrii Matviienko, Florian Müller, Dominik Schön, Paul Seesemann, Sebastian Günther, Max Mühlhäuser”, 2022, ACM Digital Library, 366, 1–15, ACM, USA, 10.1145/3491102.3517560, (download)
AI-Empowered Process Mining for Complex Application Scenarios: Survey and Discussion, Francesco Folino, Luigi Pontieri, 2021, Journal on Data Semantics, 10, 77–106, Springer, NY, USA, 10.1007/s13740-021-00121-2, (download)
Process Mining meets argumentation: Explainable interpretations of low-level event logs via abstract argumentation, Bettina Fazzinga, Sergio Flesca, Filippo Furfaro, Luigi Pontieri, 2022, Information Systems, 107, , Elsevier, UK, 10.1016/j.is.2022.101987, (download)
Minding the gap(s): public perceptions of AI and socio-technical imaginaries, Laura Sartori, Giulia Bocca, 2022, Artificial Intelligence and Society, 7, 1–15, Springer, NY, USA, 10.1007/s00146-022-01422-1, (download)
Reasoning on Multirelational Contextual Hierarchies via Answer Set Program ming with Algebraic Measure, Loris Bozzato, Thomas Eiter, Rafael Kiesel, 2021, Theory anf Practice of Logic Programming, 21, , CUP, Cambridge, UK, 10.1017/s1471068421000284, (download)
Ethical implications of fairness interventions: what might be hidden behind engineering choices?, Andrea Aler Tubella, 2022 Barsotti, Rüya Gökhan Koçer, Julian Alfredo Mendez, 2022, Ethics and Information Technology, 24, 12, Kluwer, NL, 10.1007/s10676-022-09636-z, (download)
Socially Aware Interactions: From Dialogue Trees to Natural Language Dialogue Systems, Inês Lobo, Diogo Rato, Rui Prada & Frank Dignum, 2022, Chatbot Research and Design, LNCS vol. 1371, 124–140, Springer, NY, USA, 10.1007/978-3-030-94890-0_8, (download)
Transformer-Based Self-Supervised Learning for Emotion Recognition. Vazquez-Rodriguez, J., Lefebvre, G., Cumin, J., and Crowley, J. L. (2022). International Conference on Pattern Recognition, ICPR 2022, Montreal Canada, Aug 21-25, 2022
arXiv preprint arXiv:2204.05103.
Self-supervised transformers for unsupervised object discovery using normalized cut. Wang, Y., Shen, X., Hu, S., Yuan, Y., Crowley, J. L., and Vaufreydaz, D. (2022). IEEE CVPR 2022, New Orleans, June 2022 arXiv preprint arXiv:2202.11539.
Color-based Fusion of MRI Modalities for Brain Tumor Segmentation. Aboubakr, N., Popova, M., & Crowley, J. L. (2021, March). In International Conference on Medical Imaging and Computer-Aided Diagnosis (pp. 89-97). Springer, Singapore.
Chapter in a Book
The Issue of Bias. The Framing Powers of Machine Learning, Mireille Hildebrandt, 2021, Machines We Trust Perspectives on Dependable AI, Book, MIT Press, USA, 10.2139/ssrn.3497597, (download)
The Myth of Complete AI-Fairness, Virginia Dignum, 2021, Artificial Intelligence in Medicine – 19th International Conference on Artificial Intelligence in Medicine, AIME 2021, Virtual Event, June 15–18, 2021, Proceedings, 12721, 3–8, Springer, NY, USA, 10.1007/978-3-030-77211-6_1, (download)
Embedding the Trust Degrees of Agents in Abstract Argumentation, Bettina Fazzinga, Sergio Flesca, Filippo Furfaro, 2020, ECAI 2020, Book, 737 – 744, IOS Press, NL, 10.3233/faia200161, (download)
Publication in Conference proceedings/Workshop
Publication in Conference proceedings/Workshop, Value-Guided Synthesis of Parametric Normative Systems, Nieves Montes , Carles Sierra, 2021, AAMAS ’21: 20th International Conference on Autonomous Agents and Multiagent Systems, Proceedings, 907–915, AAMAS, NY, USA, 10.5555/3463952.3464060, (download)
Publication in Conference proceedings/Workshop, Towards a Competence-Based Approach to Allocate Teams to Tasks, Athina Georgara, Juan A. Rodriguez-Aguilar, Carles Sierra, 2021, AAMAS ’21: 20th International Conference on Autonomous Agents and Multiagent Systems, Proceedings, 1504—1506, AAMAS, NY, USA, 10.5555/3463952.3464140, (download)
Publication in Conference proceedings/Workshop, Agents are dead. Long live agents!, Virginia Dignum, Frank Dignum, 2021, Proceedings of the 19th International Conference on Autonomous Agents and MultiAgent Systems, Proceedings, 1701–1705, AAMAS, NY, USA, , (download)
Publication in Conference proceedings/Workshop, Governance by Glass-Box: Implementing Transparent Moral Bounds for AI Behaviour, Andrea Aler Tubella, Andreas Theodorou, Frank Dignum, Virginia Dignum, 2020, 28th International Joint Conference on Artificial Intelligence (IJCAI-2019), Proceedings, IJCAI, NY, USA, 10.24963/ijcai.2019/802, (download)
Publication in Conference proceedings/Workshop, Toward Genre Adapted Closed Captioning, François Buet, François Yvon, 2021, Interspeech 2021, Proceedings, 4403–4407, ACM, USA, 10.21437/interspeech.2021-1762, (download)
Publication in Conference proceedings/Workshop, Reasoning over Argument-Incomplete AAFs in the Presence of Correlations, Bettina Fazzinga, Sergio Flesca, Filippo Furfaro, 2021, Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence (IJCAI-21), Proceedings, 189–195, IJCAI, NY, USA, 10.24963/ijcai.2021/27, (download)
Publication in Conference proceedings/Workshop, Revisiting the Notion of Extension over Incomplete Abstract Argumentation Framework, Bettina Fazzinga, Sergio Flesca, Filippo Furfaro, 2020, Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence (IJCAI-20), Proceedings, 1712–1718, IJCAI, NY, USA, 10.24963/ijcai.2020/237, (download)
Publication in Conference proceedings/Workshop, Hyper-parameter Optimization for Latent Spaces. Machine Learning and Knowledge Discovery in Databases, Bruno Veloso, Luciano Caroprese, Matthias König, Sónia Teixeira, Giuseppe Manco, Holger H. Hoos, João Gama, 2021, Lecture Notes in Computer Science 12977, Book, 249–264, Springer, NY, USA, 10.1007/978-3-030-86523-8_16, (download)
Publication in Conference proceedings/Workshop, Adversarial Regularized Reconstruction for Anomaly Detection and Generation., Angelica Liguori, Giuseppe Manco, Francesco Sergio Pisani, Ettore Ritacco, 2021, 21st International Conference on Data Mining, ICDM 2021, Proceedings, 1204–1209, University of Auckland, NZ, 10.1109/icdm51629.2021.00145, (download)
Publication in Conference proceedings/Workshop, Adapting User Interfaces with Model-based Reinforcement Learning, Kashyap Todi, Gilles Bailly, Luis Leiva, Antti Oulasvirta, 2020, Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems, Proceedings, 1–13, ACM, USA, 10.1145/3411764.3445497, (download)
Publication in Conference proceedings/Workshop, PAC-Bayesian Bound for the Conditional Value at Risk, Zakaria Mhammedi, Benjamin Guedj, Robert C. Williamson, 2020, Advances in Neural Information Processing Systems 33 (NeurIPS 2020), Proceedings, 17919–17930, NeurIPS, CA, USA, 10.48550/arxiv.2006.14763, (download)
Publication in Conference proceedings/Workshop, PAC-Bayes Analysis Beyond the Usual Bounds, Omar Rivasplata, Ilja Kuzborskij, Csaba Szepesvári, John Shawe-Taylor, 2020, Advances in Neural Information Processing Systems 33 (NeurIPS 2020), Proceedings, 16833–16845, NeurIPS, CA, USA, 10.48550/arxiv.2006.13057, (download)
Publication in Conference proceedings/Workshop, Analyzing Differentiable Fuzzy Implications, Emile van Krieken, Erman Acar, Frank van Harmelen, 2020, Proceedings of the 17th International Conference on Principles of Knowledge Representation and Reasoning (KR 2020), Proceedings, 893–903, KR Inc., Melbourne, AU, 10.48550/arxiv.2006.03472, (download)
Publication in Conference proceedings/Workshop, Distance-Based Equilibria in Normal-Form Games, Erman Acar, Reshef Meir, 2021, AAAI 2020, Proceedings, 1750–1757, AAAI, NY, USA, 10.1609/aaai.v34i02.5540, (download)
Publication in Conference proceedings/Workshop, On Sufficient and Necessary Conditions in Bounded CTL: A Forgetting Approach, Renyan Feng, Erman Acar, Stefan Schlobach, Yisong Wang, Wanwei Liu, 2020, Proceedings of the 17th International Conference on Principles of Knowledge Representation and Reasoning (KR 2020), Proceedings, 12—21, KR Inc., Melbourne, AU, 10.24963/kr.2020/37, (download)
Publication in Conference proceedings/Workshop, An Argumentative Dialogue System for COVID-19 Vaccine Information, Bettina Fazzinga; Bettina Fazzinga; Andrea Galassi; Paolo Torroni, 2021, Lecture Notes in Computer Science, 5, 477–485, Springer, NY, USA, 10.1007/978-3-030-89391-0_27, (download)
Publication in Conference proceedings/Workshop, Learning Ideological Embeddings from Information Cascades, Corrado Monti; Giuseppe Manco; Cigdem Aslay; Francesco Bonchi, 2021, CIKM, Proceedings, 1325–1334, ACM, USA, 10.1145/3459637.3482444, (download)
Publication in Conference proceedings/Workshop, Structural invariants in individuals language use: the “ego network” of words, Kilian Ollivier; Chiara Boldrini; Andrea Passarella; Marco Conti, 2020, Social Informatics, LNCS vol. 12467, 267–282, Springer, NY, USA, 10.1007/978-3-030-60975-7_20, (download)
Publication in Conference proceedings/Workshop, A Preliminary Evaluation of a Privacy-Preserving Dialogue System, Bettina Fazzinga, Andrea Galassi, Paolo Torroni, 2021, CEUR workshop proceedings, 3105, 1–15, CEUR-WS, Germany, 10.5281/zenodo.3556677, (download)
Publication in Conference proceedings/Workshop, Dynamics of scientific collaboration networks due to academic migrations, Pavlos Paraskevopoulos; Chiara Boldrini; Andrea Passarella; Marco Conti, 2020, Social Informatics, LNCS vol. 12467, 283–296, Springer, NY, USA, 10.1007/978-3-030-60975-7_21, (download)
Publication in Conference proceedings/Workshop, Exemplars and counterexemplars explanations for image classifiers, targeting skin lesion labeling, Carlo Metta; Riccardo Guidotti; Yuan Yin; Patrick Gallinari; Salvatore Rinzivillo, 2021, ISCC 2021 – IEEE Symposium on Computers and Communications, 9, 5–8, IEEE, Athens, GR, 10.1109/iscc53001.2021.9631485, (download)
Other publications
Structural Models of Human Social Interactions in Online Smart Communities: the Case of Region-based Journalists on Twitter,Toprak, Mustafa; Boldrini, Chiara; Passarella, Andrea; Conti, Marco,2021,ZENODO,6,,Zenodo, Geneve, CH,10.5281/zenodo.4652495, (download)
Watch Less and Uncover More: Could Navigation Tools Help Users Search and Explore Videos?,”Maria Pérez Ortiz, Sahan Bulathwela, Claire Dormann, Meghana Verma, Stefan Kreitmayer, Richard Noss, John Shawe-Taylor, Yvonne Rogers, Emine Yilmaz”,2022,CHIIR ’22: ACM SIGIR Conference on Human Information Interaction and Retrieval, 1145/3498366.3505814, (download)
Semantic TrueLearn: Using Semantic Knowledge Graphs in Recommendation Systems,S. Bulathwela, M. Pérez-Ortiz, E. Yilmaz, J. Shawe-Taylor,2021,KGSWC’21 Workshop on Joint Use of Probabilistic Graphical Models and Ontologies, 2021, 48550/arxiv.2112.04368, (download)
Could AI Democratise Education? Socio-Technical Imaginaries of an EdTech Revolution,S. Bulathwela, M. Pérez-Ortiz, C. Holloway, J. Shawe-Taylor,2021,NeurIPS workshop on ML for the Developing World, Proceedings, NeurIPS, CA, USA,10.48550/arxiv.2112.02034, (download)
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,2021,IUI ’21: 26th International Conference on Intelligent User Interfaces,Proceedings,70–74,ACM, USA,10.1145/3397482.3450721, (download)
Progress in Self-Certified Neural Networks,M. Perez-Ortiz, O. Rivasplata, E. Parrado-Hernandez, B. Guedj, J. Shawe-Taylor,2022,NeurIPS workshop on Bayesian Deep Learnin,Proceedings,,NeurIPS, CA, USA,10.48550/arxiv.2111.07737, (download)