This page shows the scientific papers related to the WeNet project.

N. Isaak, L. Michael.
Blending NLP & Machine Learning for the Development of Winograd Schemas“. In Springer LNAI Series Book, 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

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, I. Bison, M. Busso, R. Chenu-Abente, M. Rodas, M. Zeni, C. Gunel, G. Veltri, A. De Götzen, P. Kun, A. Ganbold, A.Ghagnaa, G. Gaskell, S. Stares, M. Bidoglia, L. Cernuzzi, A. Hume, J. Luis Zarza.
A worldwide diversity pilot on daily routines and social practices (2020)“. University of Trento, 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“. ARXIV, 2021

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

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

G. D’Ettole, T. Bjørner, 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. In A. Marcus and E. Rosenzweig (Eds.): HCII 2020, LNCS 12202 415–426, Springer nature, 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. Hamdy, L. Schelenz.
ETHICAL FRAMEWORK OF DIVERSITY IN WENET (summary of deliverable 9.1)”
Read the full deliverable here.

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.