Stefano Teso
Stefano Teso
Postdoctoral Researcher, KU Leuven
Verified email at - Homepage
Cited by
Cited by
Structured learning modulo theories
S Teso, R Sebastiani, A Passerini
Artificial Intelligence 244, 166-187, 2017
Explanatory interactive machine learning
S Teso, K Kersting
Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society, 239-245, 2019
Learning constraints from examples
L De Raedt, A Passerini, S Teso
Thirty-Second AAAI Conference on Artificial Intelligence, 2018
Learning SMT (LRA) constraints using SMT solvers
S Kolb, S Teso, A Passerini, L De Raedt
Proceedings of the Twenty-Seventh International Joint Conference on …, 2018
Constructive preference elicitation by setwise max-margin learning
S Teso, A Passerini, P Viappiani
arXiv preprint arXiv:1604.06020, 2016
Coactive critiquing: Elicitation of preferences and features
S Teso, P Dragone, A Passerini
Thirty-First AAAI Conference on Artificial Intelligence, 2017
Ego-centric graphlets for personality and affective states recognition
S Teso, J Staiano, B Lepri, A Passerini, F Pianesi
2013 International Conference on Social Computing, 874-877, 2013
Improved multi-level protein–protein interaction prediction with semantic-based regularization
C Sacca, S Teso, M Diligenti, A Passerini
BMC bioinformatics 15 (1), 103, 2014
Constructive preference elicitation
P Dragone, S Teso, A Passerini
Frontiers in Robotics and AI 4, 71, 2018
Making deep neural networks right for the right scientific reasons by interacting with their explanations
P Schramowski, W Stammer, S Teso, A Brugger, F Herbert, X Shao, ...
Nature Machine Intelligence 2 (8), 476-486, 2020
Elements of an Automatic Data Scientist
L De Raedt, H Blockeel, S Kolb, S Teso, G Verbruggen
International Symposium on Intelligent Data Analysis, 3-14, 2018
Constructive preference elicitation over hybrid combinatorial spaces
P Dragone, S Teso, A Passerini
Thirty-Second AAAI Conference on Artificial Intelligence, 2018
Investigating the association between social interactions and personality states dynamics
D Gundogdu, AN Finnerty, J Staiano, S Teso, A Passerini, F Pianesi, ...
Royal Society open science 4 (9), 170194, 2017
Constructive layout synthesis via coactive learning
P Dragone, L Erculiani, MT Chietera, S Teso, A Passerini
Constructive Machine Learning workshop, NIPS, 2016
Decomposition strategies for constructive preference elicitation
P Dragone, S Teso, M Kumar, A Passerini
Thirty-Second AAAI Conference on Artificial Intelligence, 2018
Constructive preference elicitation for multiple users with setwise max-margin
S Teso, A Passerini, P Viappiani
International Conference on Algorithmic DecisionTheory, 3-17, 2017
From on-going to complete activity recognition exploiting related activities
C Nicolini, B Lepri, S Teso, A Passerini
International Workshop on Human Behavior Understanding, 26-37, 2010
Predicting virus mutations through statistical relational learning
E Cilia, S Teso, S Ammendola, T Lenaerts, A Passerini
BMC bioinformatics 15 (1), 309, 2014
An on/off lattice approach to protein structure prediction from contact maps
S Teso, C Di Risio, A Passerini, R Battiti
IAPR International Conference on Pattern Recognition in Bioinformatics, 368-379, 2010
Automating Layout Synthesis with Constructive Preference Elicitation
L Erculiani, P Dragone, S Teso, A Passerini
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2018
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