Follow
Stefano Teso
Title
Cited by
Cited by
Year
Explanatory interactive machine learning
S Teso, K Kersting
Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society, 239-245, 2019
108*2019
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
98*2020
Learning constraints from examples
L De Raedt, A Passerini, S Teso
Thirty-Second AAAI Conference on Artificial Intelligence, 2018
592018
Structured learning modulo theories
S Teso, R Sebastiani, A Passerini
Artificial Intelligence 244, 166-187, 2017
452017
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
382018
Constructive Preference Elicitation by Setwise Max-Margin Learning
S Teso, A Passerini, P Viappiani
Twenty-Fifth International Joint Conference on Artificial Intelligence …, 2016
32*2016
Constructive Preference Elicitation by Setwise Max-Margin Learning
S Teso, A Passerini, P Viappiani
Twenty-Fifth International Joint Conference on Artificial Intelligence …, 2016
32*2016
Constructive preference elicitation
P Dragone, S Teso, A Passerini
Frontiers in Robotics and AI 4, 71, 2018
202018
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
182014
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
182013
Coactive critiquing: Elicitation of preferences and features
S Teso, P Dragone, A Passerini
Thirty-First AAAI Conference on Artificial Intelligence, 2017
172017
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
162017
A Compositional Atlas of Tractable Circuit Operations: From Simple Transformations to Complex Information-Theoretic Queries
A Vergari, YJ Choi, A Liu, S Teso, GV Broeck
Advances in Neural Information Processing Systems 34, 2021
15*2021
Efficient Generation of Structured Objects with Constrained Adversarial Networks
L Di Liello, P Ardino, J Gobbi, P Morettin, S Teso, A Passerini
Advances in Neural Information Processing Systems 33, 2020
15*2020
Constructive preference elicitation over hybrid combinatorial spaces
P Dragone, S Teso, A Passerini
Thirty-Second AAAI Conference on Artificial Intelligence, 2018
142018
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
122018
Machine Guides, Human Supervises: Interactive Learning with Global Explanations
T Popordanoska, M Kumar, S Teso
arXiv preprint arXiv:2009.09723, 2020
112020
Putting human behavior predictability in context
W Zhang, Q Shen, S Teso, B Lepri, A Passerini, I Bison, F Giunchiglia
EPJ Data Science 10 (1), 42, 2021
92021
Learning Max-SAT from contextual examples for combinatorial optimisation
M Kumar, S Kolb, S Teso, L De Raedt
Proceedings of the 34th Conference on Artificial Intelligence (AAAI), 2020
92020
Automating Personnel Rostering by Learning Constraints Using Tensors
M Kumar, S Teso, P De Causmaecker, L De Raedt
2019 IEEE 31st International Conference on Tools with Artificial …, 2019
92019
The system can't perform the operation now. Try again later.
Articles 1–20