This page shows the scientific papers related to the WeNet project.
P. Helm, A. de Götzen, L. Cernuzzi, S. Diwakar, Alethia Hume, S. Ruiz-Correa, D. Gatica-Perez
“Diversity and Neocolonialism in Big Data Research. Avoiding extractivism while struggling with paternalism”. 2023
(Accepted for publication on Big Data and Society Journal, Sage – Not published yet)
L. Michael.
“Autodidactic and Coachable Neural Architectures”. IOS press, Amsterdam, The Netherlands, 2023
(Not yet published – Pre-print not available – Link will be provided upon publication)
L. Schelenz.
“Diversity and Social Justice in Technology Design: Reflections on Diversity-Aware Technology“. In International Journal of Critical Diversity Studies, Johannesburg, South Africa, 2023
N. Montes, M. Luck, N. Osman, O. Rodrigues, C. Sierra.
“Combining Theory of Mind and Abductive Reasoning in Agent-Oriented Programming”. In JAAMAS – journal, Richland, SC, July 2023.
(Currently press-only – Link will be provided as soon as released)
A. Nanchen, L. Meegahapola, W. Droz, and D. Gatica-Perez.
“Keep Sensors in Check: Disentangling Cross-Country Generalization Issues in Mobile Sensor-Based Models with Diversity Scores“. AAAI/ACM Conf. on Artificial Intelligence, Ethics, and Society (AIES), Montreal, Canada – To appear in ACM Digital Library in August 2023
A. Sultan, A. Segal, G. Shani, K. Gal.
“Addressing Popularity Bias in Citizen Science“. 1st Workshop on Diversity-aware Hybrid Human AI (DHHAI) – International Conference Series on Hybrid Human-Artificial Intelligence (HHAI 2023), Munich, Germany, June 2023
N. Osman, B. Rosell i Gui, C. Sierra.
“Leveraging Diversity in Online Interactions“. 1st Workshop on Diversity-aware Hybrid Human AI (DHHAI) – International Conference Series on Hybrid Human-Artificial Intelligence (HHAI 2023), Munich, Germany, June 2023
I. Bison, H. Zhao.
“Factors Impacting the Quality of User Answers on Smartphones“. 1st Workshop on Diversity-aware Hybrid Human AI (DHHAI) – International Conference Series on Hybrid Human-Artificial Intelligence (HHAI 2023), Munich, Germany, June 2023
C. Botta, A. Segal, K. Gal.
“Personalizing Interventions with Diversity Aware Bandits“. 1st Workshop on Diversity-aware Hybrid Human AI (DHHAI) – International Conference Series on Hybrid Human-Artificial Intelligence (HHAI 2023), Munich, Germany, June 2023
A. Mercado Kroll, A. Hume, I. Bison, F. Giunchiglia, A. Ganbold, L. Cernuzzi.
“Social interactions mediated by the Internet and the Big-Five: a cross-country analysis“ . 1st Workshop on Diversity-aware Hybrid Human AI (DHHAI) – International Conference Series on Hybrid Human-Artificial Intelligence (HHAI 2023), Munich, Germany, June 2023
L. Achón, A. De Souza, A. Hume, R. Chenu-Abente, A. de Götzen, L. Cernuzzi.
“SOS TUTOR ÍA UC’: A Diversity-Aware Application for Tutor Recommendation Based on Competence and Personality“. 1st Workshop on Diversity-aware Hybrid Human AI (DHHAI) – International Conference Series on Hybrid Human-Artificial Intelligence (HHAI 2023), Munich, Germany, June 2023
S. Charalambides, L.Michael.
“Intra Organizational Communication 2.0“. 1st Workshop on Diversity-aware Hybrid Human AI (DHHAI) – International Conference Series on Hybrid Human-Artificial Intelligence (HHAI 2023), Munich, Germany, June 2023
I. Perikos, L.Michael.
“Sensitive Content Recognition in Social Interaction Messages“. 1st Workshop on Diversity-aware Hybrid Human AI (DHHAI) – International Conference Series on Hybrid Human-Artificial Intelligence (HHAI 2023), Munich, Germany, June 2023
V. Markos, L. Michael.
“An Empirical Exploration of Diversity Perception“. 1st Workshop on Diversity-aware Hybrid Human AI (DHHAI) – International Conference Series on Hybrid Human-Artificial Intelligence (HHAI 2023), Munich, Germany, June 2023
M. Busso, X. Li.
“A context model for collecting diversity-aware data“. 1st Workshop on Diversity-aware Hybrid Human AI (DHHAI) – International Conference Series on Hybrid Human-Artificial Intelligence (HHAI 2023), Munich, Germany, June 2023
M. Busso, R. Chenu-Abente Acosta, A. de Götzen.
“A research infrastructure for generating and sharing diversity-aware data“. 1st Workshop on Diversity-aware Hybrid Human AI (DHHAI) – International Conference Series on Hybrid Human-Artificial Intelligence (HHAI 2023), Munich, Germany, June 2023
L. Erculiani, A. Bontempelli, A. Passerini, F. Giunchiglia.
“Egocentric Hierarchical Visual Semantics“. International Conference Series on Hybrid Human-Artificial Intelligence (HHAI 2023), Munich, Germany, June 2023
V. Markos, L. Michael.
“Towards Cognitive Representatives“. Knowledge Representation 2023 (KR2023) Doctoral Consortium
A. Bontempelli, S, Teso, K. Tentori, F. Giunchiglia, A. Passerini.
“Concept-level Debugging of Part-Prototype Networks“. In Proceedings of Eleventh International Conference on Learning Representations (ICLR 2023), ICLR, Kigali, Rwanda, 2023
L. Michael.
“Explainability and the Fourth AI Revolution“. In Handbook of Research on Artificial Intelligence, Innovation and Entrepreneurship, Edward Elgar, UK/USA, 2023
T. Freitas dos Santos, N. Osman, M. Schorlemmer.
“Cross-community Adapter Learning (CAL) to Understand the Evolving Meanings of Norm Violation“. Thirty-Second International Joint Conference on Artificial Intelligence, 2023
S. Sajadmanesh, D. Gatica-Perez.
“ProGAP: Progressive Graph Neural Networks with Differential Privacy Guarantees“. ArXiv, 2023
W. Bangamuarachchi, A. Chamantha, L. Meegahapola, H. Kim, S. Ruiz-Correa, I. Perera, D. Gatica-Perez.
“Inferring Mood-While-Eating with Smartphone Sensing and Community-Based Model Personalization“. ArXiv, 2023
A.R. Mader, L. Meegahapola, D. Gatica-Perez.
“Understanding Social Context from Smartphone Sensing: Generalization Across Countries and Daily Life Moments“. ArXiv, 2023
N. Kammoun, L. Meegahapola, D. Gatica-Perez.
“Understanding the Social Context of Eating with Multimodal Smartphone Sensing: The Role of Country Diversity“. ArXiv, 2023
L.Meegahapola, W. Droz, P. Kun, A. De Götzen, M. Bidoglia, G. Gaskell, A. Chagnaa, A. Ganbold, T. Zundui, C. Caprini, D. Miorandi, A. Hume. J.L. Zarza, L. Cernuzzi, I. Bison, M. Rodas Britez, M. Busso, F. Giunchiglia, R. Chenu-Abente, D. Gatica-Perez, S. Stares, K. Assi.
“Complex Daily Activities, Country-Level Diversity, and Smartphone Sensing: A Study in Denmark, Italy, Mongolia, Paraguay, and UK“. In Proceedings of the ACM Conference on Human Factors in Computing Systems (CHI), Hamburg, Germany, April 23-28, 2023.
L. Michael.
“Coachable AI“. In ERCIM News, ERCIM EEIG, Sophia Antipolis, France, January 2023
V. Markos, M. Thoma, L. Michael.
“Machine Coaching with Proxy Coaches“. In Proceedings of the 1st Workshop on Argumentation & Machine Learning (ArgML22@COMMA2022), CEUR, 2022
V. Markos, L. Michael.
“Prudens: An Argumentation-Based Language for Cognitive Assistants“. In Proceedings of the 6th International Joint Conference on Rules and Reasoning (RuleML+RR 2022, in Declarative AI 2022), Springer, Cham, Switzerland, 2022
A. Bontempelli, M. Rodas Britez, X. Li, Haonan Zhao, L. Erculiani, S. Teso, A. Passerini, F. Giunchiglia.
“Lifelong Personal Context Recognition“. Human-Centered Design of Symbiotic Hybrid Intelligence Workshop at HHAI 2022
A. Bontempelli, F. Giunchiglia, A. Passerini and S. Teso.
“Toward a Unified Framework for Debugging Concept-based Models“. Interactive machine learning workshop at AAAI 2022
L.Meegahapola, W. Droz, P. Kun, A. De Götzen, C. Nutakki, S. Diwakar, S. Ruiz-Correa, D. Song, H. Xu, M. Bidoglia, G. Gaskell, A. Chagnaa, A. Ganbold, T. Zundui, C. Caprini, D. Miorandi, A. Hume. J.L. Zarza, L. Cernuzzi, I. Bison, M. Rodas Britez, M. Busso, C. Günel, F. Giunchiglia, R. Chenu-Abente, L. Schelenz, D. Gatica-Perez.
“Generalization and Personalization of Mobile Sensing-Based Mood Inference Models: An Analysis of College Students in Eight Countries“. In Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, Vol. 6, No. 4, Article 176 pages 1-32, December 2022
P. Helm, A. de Götzen, L. Cernuzzi, S. Diwakar, A. Hume, S. Ruiz-Correa, D. Gatica-Perez.
“Leveraging or exploiting? Breaking through data colonialism and ethnocentrism when building a diversity-aware social platform“. In AoIR Selected Papers of Internet Research, 2022
A. de Götzen, P. Kun, L. Simeone, N. Morelli.
“Mediating social interaction through a chatbot to leverage the diversity of a community: tensions, paradoxes, and opportunities“. In Artistic Cartography and Design Explorations Towards the Pluriverse, Routledge, 2022
E. Bouton-Bessac, L. Meegahapola, D. Gatica-Perez.
“Your Day in Your Pocket: Complex Activity Recognition from Smartphone Accelerometers“. 16th EAI International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth), EAI (Springer), Thessaloniki, Greece, December 2022
J. L. Zarza, A. Hume, L. Cernuzzi, D. Gatica-Perez and I. Bison.
“Analysis of the Big-Five personality traits in the Chatbot ‘UC – Paraguay’“. CLEIej, vol. 25 No2, pages 10:1-10:21, 2022
P. Helm, L. Michael, L. Schelenz.
“Diversity by Design? Balancing the Inclusion and Protection of Users in an Online Social Platform“. Fifth AAAI/ACM Conference on Artificial Intelligence, Ethics and Society, Oxford, UK, 1-3 August 2022
N. Montes, N. Osman, C. Sierra.
“A computational model of Ostrom’s Institutional Analysis and Development framework“. In Artificial Intelligence, vol. 331, Elsevier, October 2022
W. Bangamuarachchi, A. Chamantha, L. Meegahapola, S. Ruiz-Correa, I. Perera, D. Gatica-Perez.
“Sensing Eating Events in Context: A Smartphone-Only Approach“. IEEE Access, vol. 10, pages 61249-61264, 2022
P.Kun, A. de Götzen, N.J. Gommesen, M. Bidoglia, G. Gaskell.
“Exploring diversity perceptions in a community through a Q&A chatbot“. DRS2022: Bilbao, Bilbao, Spain, 25 June – 3 July 2022
A. Bontempelli, F. Giunchiglia, A. Passerini, S. Teso.
“Human-in-the-loop Handling of Knowledge Drift“. In Data Mining and Knowledge Discovery, Springer, USA, July 2022
Q. Shen, H. Feng, R. Song, S. Teso, F. Giunchiglia, H. Xu.
“Federated Multi-Task Attention for Cross-Individual Human Activity Recognition“. IJCAI-2022 (the 31st International Joint Conference on Artificial Intelligence), Vienna, Austria, 2022
L. Schelenz.
“Schwarzfeministische Perspektiven auf Künstliche Intelligenz: Erkenntnisse und neue Fragen zu KI-gestützter Gesichtserkennung und Überwachung“. In Femina Politica – Zeitschrift für feministische Politikwissenschaft 30 (2-2021), pages 73-93, 2022
(The abstract is available here – For further details, please contact us or the author [email protected])
L. Schelenz.
“Artificial Intelligence Between Oppression and Resistance: Black Feminist Perspectives on Emerging Technologies“. In Ariane Hanemaayer (Ed.): Artificial Intelligence and Its Discontents, Springer International Publishing (Social and Cultural Studies of Robots and AI), pages 225–249, 2022
(The abstract is available here – For further details, please contact us or the author [email protected])
V. Markos, L. Michael.
“Post-hoc Diversity-aware Curation of Rankings“. In Proceedings of the 14th International Conference on Agents and Artificial Intelligence – Volume 2: ICAART, pages 323-334, 2022
I. Perikos, L. Michael.
“A Survey on Tie Strength Estimation Methods in Online Social Networks“. In Proceedings of the 14th International Conference on Agents and Artificial Intelligence – Volume 3: ICAART, pages 484-491, 2022
T. Freitas dos Santos, N. Osman, M. Schorlemmer.
“Ensemble and Incremental Learning for Norm Violation Detection“. AAMAS 2022
N. Montes, C. Sierra.
“Synthesis and Properties of Optimally Value-Aligned Normative Systems“. In Journal of Artificial Intelligence Research, AI Access Foundation, El Segundo, CA, USA, 2022
N. Montes, G. Curto, N. Osman, C. Sierra.
“An Agent-Based Model for Poverty and Discrimination Policy-Making“. AMPM 2022: 2nd Workshop in Agent-based Modeling & Policy-Making
N. Montes, N. Osman, C. Sierra.
“Combining Theory of Mind and Abduction for Cooperation Under Imperfect Information“. European Conference on Multi-Agent Systems (EUMAS 2022)
G. Curto, N. Montes, C. Sierra, N. Osman, F. Comim.
“A norm optimisation approach to SDGs: tackling poverty by acting on discrimination“. In Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, International Joint Conferences on Artificial Intelligence Organization, 2022
J. L. Zarza, A. Hume, L. Cernuzzi, D. Gatica-Perez, I. Bison.
“The impact of personality in using technology to ask and offer help: The experience of the Chatbot ‘UC — Paraguay'”. 2021 XLVII Latin American Computing Conference (CLEI), 2021
(The abstract is available here – For further details, please contact us)
N. Isaak, L. Michael.
“Blending NLP & Machine Learning for the Development of Winograd Schemas“. In Springer LNAI Series Book, 2021
L. Schelenz.
“Diversity-aware Recommendations for Social Justice? Exploring User Diversity and Fairness in Recommender Systems“. ACM, New York, USA, 2021
A. Lugo, M. González, N. Aquino, L. Cernuzzi, R. Chenú-Abente.
“UCarpooling: decongesting traffic through carpooling using automatic pairings“. CLEI electronic journal, July 2021
N. Montes, C. Sierra.
“Value Alignment Equilibrium in Multiagent systems“. 1st TAILOR Workshop at ECAI 2020, 2021
N. Montes, C. Sierra.
“Value-Guided Synthesis of Parametric Normative Systems“. In Proc. of the 20th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2021), AAMAS 2021
N. Osman, C. Sierra, R.Chenu-Abente, Q. Shen, F. Giunchiglia.
“Empowering Users in Online Open Communities“. Springer Nature Computer Science, 2021
T. Freitas dos Santos, N. Osman, M. Schorlemmer.
“Learning for Detecting Norm Violation in Online Communities“. International Workshop on Coordination, Organizations, Institutions, Norms and Ethics for Governance of Multi-Agent Systems (COINE), co-located with AAMAS 2021
C. Rodosthenous, L. Michael.
“A Crowdsourcing Methodology for Improved Geographic Focus Identification of News-Stories“. 13th International Conference on Agents and Artificial Intelligence, 2021
R. Radhamani, D. Kumar, N. Nizar, K. Achuthan, B. Nair, S. Diwakar.
“What virtual laboratory usage tells us about laboratory skill education pre- and post-COVID-19: Focus on usage, behavior, intention and adoption“. Springer Nature’s Education and Information Technologies (EAIT) journal (Q1 in Education), June 2021
L. Schelenz, I. Bison, M. Busso, A. De Götzen, D. Gatica-Perez, F. Giunchiglia, L. Meegahapola, S. Ruiz-Correa.
“The Theory, Practice, and Ethical Challenges of Designing a Diversity-Aware Platform for Social Relations“. The Fourth AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society, May 2021
E. Shusterman, H. G. Kim, M. Facciotti, M.Igo, K. Sripathi, D. Karger, A.Segal, K. Gal.
“Seeding Course Forums using the Teacher-in-the-Loop“. LAK21: 11th International Learning Analytics and Knowledge Conference, April 2021
N. Isaak, L. Michael.
“Experience and prediction: a metric of hardness for a novel litmus test“. In Journal of Logic and Computation, February 2021
K. Gal, G. Shani, A. Segal, D. Cavalier, D.B. Zaken.
“Intelligent Recommendations for Citizen Science“. 35th AAAI conference on artificial intelligence, February 2021
J. Heesen, K. Reinhardt, L. Schelenz.
“Preventing discrimination through algorithms. Assessments and tools for a democratic digital society“. In G. Bauer, M. Kechaja, S. Engelmann, L. Haug (Ed.): Diskriminierung und Antidiskriminierung: Beiträge aus Wissenschaft und Praxis, Bielefeld: Transcript, 129-147, February 2021
L. Meegahapola, S. Ruiz-Correa, V. del Robledo-Valero, E.E. Hernandez-Huerfano, L. Alvarez-Rivera, R.Chenu-Abente, D. Gatica-Perez.
“One More Bite?: Inferring Food Consumption Level of College Students Using Smartphone Sensing and Self-Reports“. In Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp), 2021
K. Reinhardt.
“Diversity-Sensitive Social Platforms and Responsibility. Some Ethical Considerations“. In Információs Társadalom – Information Society, 2021
(Link will be available soon)
L. Meegahapola, D. Gatica-Perez.
“Smartphone Sensing for the Well-Being of Young Adults: A Review“. In IEEE Access, vol. 9 (2), 3374-3399, 2021
(Also available on the IEEExplore digital library)
C. Rodosthenous.
“Story Comprehension Using Crowdsourced Commonsense Knowledge“. Open University of Cyprus, 2021
M. Zeni, I. Bison, B. Gauckler, F. Reis, F. Giunchiglia.
“Improving time use measurement with personal big data collection – the experience of the European Big Data Hackathon 2019“. In Journal of Official Statistics, Sciendo, 2021
W. Zhang, Q.Shen, S. Teso, B. Lepri, A. Passerini, I. Bison, F. Giunchiglia.
“Putting human behavior predictability in context“. In EPJ Data Science, SpringerOpen, New York, US, 2021
A. Bontempelli, F. Giunchiglia, A. Passerini, S. Teso.
“Human-in-the-loop Handling of Knowledge Drift“. The 1st Workshop on Anomaly and Novelty Detection, Explanation and Accommodation (ANDEA) in Conjunction with KDD 2021, Singapore, 2021
F. Giunchiglia, L. Erculiani, A.Passerini.
“Towards Visual Semantics“. ArXiv, 2021
F. Giunchiglia, M. Rodas Britez, A. Bontempelli, X. Li.
“Streaming and Learning the Personal Context“. Human-Centric and Contextual Systems, Twelfth International Workshop on Modelling and Reasoning in Context (MRC-HCCS), IJCAI 2021
S. Teso, A. Bontempelli, F. Giunchiglia, A. Passerini.
“Interactive Label Cleaning with Example-based Explanations“. In Proceedings of Advances in Neural Information Processing Systems 34 – NeurIPS 2021, NeurIPS, 2021
S. Teso, A. Bontempelli, F. Giunchiglia, A. Passerini.
“Interactive Label Cleaning with Example-based Explanations“. ArXiv, 2021
E. Tsamoura, T. Hospedales, L. Michael.
“Neural-Symbolic Integration: A Compositional Perspective“. The Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI-21), 2021
C. Ioannou, L. Michael.
“Knowledge-Based Translation of Natural Language into Symbolic Form“. In Proceedings of the 7th Linguistic and Cognitive Approaches to Dialog Agents Workshop – LaCATODA (IJCAI), CEUR-WS.org, vol.2935, pages 24-32, 2021
P. Helm, L.Michael and L. Schelenz.
“Diversity by Design: Balancing Protection and Inclusion in Social Networks“. Artificial Intelligence and Ethics Workshop (KI2021), 2021
N. Isaak.
“A fully-fledged approach to the Winograd Schema Challenge: Tackling, utilizing and developing Winograd instances“. PhD Thesis, Open University of Cyprus, 2021
L. Michael.
“Explainability and the Fourth AI Revolution“. Contributed chapter to Handbook of Research on Artificial Intelligence, Innovation and Entrepreneurship, Edward Elgar Publishing, 2021
A. Kakas, L. Michael.
“Abduction and Argumentation for Explainable Machine Learning: A Position Survey“. ArXiv, 2020
E. Tsamoura, L. Michael.
“Neural-Symbolic Integration: A Compositional Perspective“. ArXiv, 2020
A. Georgara, C. Sierra and J.A. Rodríguez-Aguilar.
“TAIP: an anytime algorithm for allocating student teams to internship programs“. ArXiv, 2020
N. Osman, C. Sierra, R. Chenu-Abente, Q. Shen and F. Giunchiglia.
“Open Social Systems“. EUMAS/AT 2020, 2020
G. D’Ettole, T. Bjørner, and A. De Götzen.
“How to Design Potential Solutions for a Cross-country Platform that Leverages Students’ Diversity: A User-Centered Design Approach – and Its Challenges“. A. Marcus and E. Rosenzweig (Ed.): HCII 2020, LNCS 12202, Springer nature, pp. 415–426, 2020
P. Morettin, S. Kolb, S. Teso, A. Passerini.
“Learning Weighted Model Integration Distributions“. AAAI, 2020
Q. Shen, S. Teso, W. Zhang, H. Xu, F. Giunchiglia.
“Multi-Modal Subjective Context Modelling and Recognition“. ECAI workshop, November 2020
L. Meegahapola, S. Ruiz-Correa, D. Gatica-Perez.
“Protecting Mobile Food Diaries from Getting too Personal“. 19th International Conference on Mobile and Ubiquitous Multimedia (MUM 2020), Association for Computing Machinery, 212–222, 2020, New York, USA
M. Kumar, S. Kolb, S. Teso, L. De Raedt.
“Learning MAX-SAT from Contextual Examples for Combinatorial Optimisation“. In Proceedings of the AAAI Conference on Artificial Intelligence, Association for Computing Machinery, 2020, New York, USA
L. Meegahapola, S. Ruiz-Correa, D. Gatica-Perez.
“Alone or With Others? Understanding Eating Episodes of College Students with Mobile Sensing“. 19th International Conference on Mobile and Ubiquitous Multimedia (MUM 2020), Association for Computing Machinery, 162–166, 2020, New York, USA
K. Reinhardt.
“Between Identity and Ambiguity. Some Conceptual Considerations on Diversity“. In Symposion. Theoretical and Applied Inquiries in Philosophy and Social Sciences 7 (2), 261-283, 2020
J. Heesen.
“Responsible research with and about Big Data and Artificial Intelligence“. In Anja Seibert-Fohr (Ed.): Dissolved Responsibility. On the range and regulation of responsibility in business, media, technology and the environment, New York/Heidelberg: Springer 2020, 285 – 303, 2020
N. Isaak, L. Michael.
“WinoReg: A New Faster and More Accurate Metric of Hardness for Winograd Schemas“. In G. Danoy, J. Pang and G. Sutcliffe (editors), GCAI 2020. 6th Global Conference on Artificial Intelligence, vol 72, 46–58, 2020
N. Isaak, L. Michael.
“Winventor: A Machine-driven Approach for the Development of Winograd Schemas“. In Proceedings of the 12th International Conference on Agents and Artificial Intelligence – Volume 2: ICAART, 2020
M. Poblet, C. Sierra.
“Understanding Help as a Commons“. In International Journal of the Commons, 14, 281–493, September 2020
L. Schelenz, A. Segal, K. Gal.
“Applying Transparency in Artificial Intelligence based Personalization Systems“. ECAI 2020, August 2020
L. Schelenz, A. Segal, K. Gal.
“Best Practices for Transparency in Machine Generated Personalization“. ACM, New York, USA, July 2020
P.D. Chocron, M. Schorlemmer.
“Vocabulary Alignment in Openly Specified Interactions“. in Journal of Artificial Research. May 2020
N. Hoernle, K. Gal, B. Grosz, L. Lyons, A. Ren, A. Rubin.
“Interpretable Models for Understanding Immersive Simulations”. May 2020
A. Bontempelli, S. Teso, F. Giunchiglia, A. Passerini.
“Learning in the Wild with Incremental Skeptical Gaussian Processes“. International Joint Conferences on Artificial Intelligence Organization, May 2020
K. Reinhardt.
“Digital Humanism. Neither dystopia nor utopia“. In Berliner Debatte Initial, April 2020
W. Zhang, A. Passerini, F. Giunchiglia.
“Dealing with Mislabeling via Interactive Machine Learning“. In Künstl Intell (2020), January 2020
L. Michael.
“Machine Ethics through Machine Coaching“. In Proceedings of the 2nd Workshop in Implementing Machine Ethics, 2020
L. Erculiani, F. Giunchiglia, A. Passerini
“Continual egocentric object recognition“. 24th European Conference on Artificial Intelligence, Santiago de Compostela, Spain, 2020
A. Aler Tubella, A. Theodorou, V.Dignum, L. Michael
“Contestable Black Boxes“. in Rules and Reasoning – Proceedings of the 4th International Joint Conference, RuleML+RR 2020, Oslo, Norway, June 29 – July 1, 2020
K. Reinhardt.
“A diversity-sensitive social platform: Ethical Questions from the project WeNet – The Internet of Us“.
Conference paper for the Budapest Workshop on Philosophy of Technology, December 2019.
N. Isaak L. Michael.
“WinoFlexi: A Crowdsourcing Platform for the Development of Winograd Schemas“.
Conference paper for the Australasian Conference on Artificial Intelligence 2019, November 2019.
L. Schelenz.
“Data for Diversity-Aware Technology: Some Ethical Considerations“. 1st WeNet Policy Workshop position paper for Beyond Privacy: Learning Data Ethics at European Big Data Community Forum 2019 , November 2019, Brussels, Belgium. (check also the presentation)
D. Gatica-Perez, D. Santani, J.-I. Biel, and T. T. Phan.
“Social Multimedia, Diversity, and Global South Cities: A Double Blind Side” in Proc. ACM Workshop on Fairness, Accountability, and Transparency in Multimedia (FAT/MM), October 2019, Nice, France.
D. Gatica-Perez, J.-I. Biel, D. Labbe, and N. Martin.
“Discovering Eating Routines in Context with a Smartphone App” in Proc. ACM Ubicomp Workshop on Mining and Learning from Smartphone Apps (AppLens), September 2019, London, UK.
L. Michael.
“Machine Coaching“. Paper for the Proceedings of the IJCAI Workshop on Explainable Artificial Intelligence (XAI), August 2019, Macao, China.
S. Kolb, P. Morettin, P. Zuidberg Dos Martires, F. Sommavilla, A. Passerini, R. Sebastiani, and L. De Raedt.
“The pywmi Framework and Toolbox for Probabilistic Inference using Weighted Model Integration“. Paper for the Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence (IJCAI-19), August 2019, Macao, China.
R. Shillo, N. Hoernle, and K. Gal.
“Detecting Creativity in an Open Ended Geometry Environment“. Paper for the 12th International Conference on Educational Data Mining, July 2019, Montréal, Canada.
S. Yanovsky, N. Hoernle, O. Lev, and K. Gal.
“One Size Does Not Fit All: Badge Behavior in Q&A sites“. Paper for the 27th ACM Conference On User Modeling, Adaptation And Personalization, June 2019, Larnaca, Cyprus.
C. Roig, E. Andrejczuk, J.A. Rodriguez Aguilar, Y. Parejo, and C. Sierra.
“Diverse Teams in the Classroom“. Paper for AIAED19 Forum, May 2019, Beijing, China.
C. Sierra, N. Osman, P. Noriega, J. Sabater-Mir, and A. Perello-Moragues. “Value alignment: a formal approach“, Responsible Artificial Intelligence Agents Workshop (RAIA) – AAMAS 2019, 13-17 May 2019, Montreal, Canada.
