Stefano Teso

125 papers A* 26A 1B 3C 5Journal 73Unranked 14
YearRankTypeTitle / Venue / Authors
2026 J jnl
GNN Explanations that do not Explain and How to find Them.
CoRR
Steve Azzolin, Stefano Teso, Bruno Lepri, Andrea Passerini, Sagar Malhotra
2026 A* conf
Human Cognitive Biases in Explanation-based Interaction: The Case of Within and Between Session Order Effect.
AAAI
Dario Pesenti, Alessandro Bogani, Katya Tentori, Stefano Teso
2025 A* conf
Beyond Topological Self-Explainable GNNs: A Formal Explainability Perspective.
ICML
Steve Azzolin, Sagar Malhotra, Andrea Passerini, Stefano Teso
2025 J jnl
Beyond Topological Self-Explainable GNNs: A Formal Explainability Perspective.
CoRR
Steve Azzolin, Sagar Malhotra, Andrea Passerini, Stefano Teso
2025 J jnl
Explainability in Focus: Advancing Evaluation through Reusable Experiment Design (Dagstuhl Seminar 25142).
Dagstuhl Reports
Simone Stumpf, Stefano Teso, Elizabeth M. Daly
2025 J jnl
Human Cognitive Biases in Explanation-Based Interaction: The Case of Within and Between Session Order Effect.
CoRR
Dario Pesenti, Alessandro Bogani, Katya Tentori, Stefano Teso
2025 J jnl
If Concept Bottlenecks are the Question, are Foundation Models the Answer?
CoRR
Nicola Debole, Pietro Barbiero, Francesco Giannini, Andrea Passerini, Stefano Teso, Emanuele Marconato
2025 J jnl
Learning to Reject Low-Quality Explanations via User Feedback.
CoRR
Luca Stradiotti, Dario Pesenti, Stefano Teso, Jesse Davis
2025 A* conf
Logically Consistent Language Models via Neuro-Symbolic Integration.
ICLR
Diego Calanzone, Stefano Teso, Antonio Vergari
2025 J jnl
MedGellan: LLM-Generated Medical Guidance to Support Physicians.
CoRR
Debodeep Banerjee, Burcu Sayin, Stefano Teso, Andrea Passerini
2025 J jnl
Personalized Interpretability - Interactive Alignment of Prototypical Parts Networks.
CoRR
Tomasz Michalski, Adam Wróbel, Andrea Bontempelli, Jakub Lustyk, Mikolaj Kniejski, Stefano Teso, Andrea Passerini, Bartosz Zielinski, Dawid Rymarczyk
2025 A* conf
Reconsidering Faithfulness in Regular, Self-Explainable and Domain Invariant GNNs.
ICLR
Steve Azzolin, Antonio Longa, Stefano Teso, Andrea Passerini
2025 J jnl
Shortcuts and Identifiability in Concept-based Models from a Neuro-Symbolic Lens.
CoRR
Samuele Bortolotti, Emanuele Marconato, Paolo Morettin, Andrea Passerini, Stefano Teso
2025 J jnl
Symbol Grounding in Neuro-Symbolic AI: A Gentle Introduction to Reasoning Shortcuts.
CoRR
Emanuele Marconato, Samuele Bortolotti, Emile van Krieken, Paolo Morettin, Elena Umili, Antonio Vergari, Efthymia Tsamoura, Andrea Passerini, Stefano Teso
2025 — conf
Time Can Invalidate Algorithmic Recourse.
FAccT
Giovanni De Toni, Stefano Teso, Bruno Lepri, Andrea Passerini
2024 J jnl
A Benchmark Suite for Systematically Evaluating Reasoning Shortcuts.
CoRR
Samuele Bortolotti, Emanuele Marconato, Tommaso Carraro, Paolo Morettin, Emile van Krieken, Antonio Vergari, Stefano Teso, Andrea Passerini
2024 A* conf
A Neuro-Symbolic Benchmark Suite for Concept Quality and Reasoning Shortcuts.
NeurIPS
Samuele Bortolotti, Emanuele Marconato, Tommaso Carraro, Paolo Morettin, Emile van Krieken, Antonio Vergari, Stefano Teso, Andrea Passerini
2024 A conf
BEARS Make Neuro-Symbolic Models Aware of their Reasoning Shortcuts.
UAI
Emanuele Marconato, Samuele Bortolotti, Emile van Krieken, Antonio Vergari, Andrea Passerini, Stefano Teso
2024 J jnl
BEARS Make Neuro-Symbolic Models Aware of their Reasoning Shortcuts.
CoRR
Emanuele Marconato, Samuele Bortolotti, Emile van Krieken, Antonio Vergari, Andrea Passerini, Stefano Teso
2024 — conf
Benchmarking in Neuro-Symbolic AI.
IJCLR
Robin Manhaeve, Francesco Giannini, Mehdi Ali, Damiano Azzolini, Alice Bizzarri, Andrea Borghesi, Samuele Bortolotti, Luc De Raedt, Devendra Singh Dhami, Michelangelo Diligenti, Sebastijan Dumancic, Boi Faltings, Elisabetta Gentili, Alfonso Gerevini, Marco Gori, Tias Guns, Martin Homola, Kristian Kersting, Jens Lehmann, Michele Lombardi, Luca Salvatore Lorello, Emanuele Marconato, Stefano Melacci, Andrea Passerini, Debjit Paul, Fabrizio Riguzzi, Stefano Teso, Neil Yorke-Smith, Marco Lippi
2024 J jnl
Learning To Guide Human Decision Makers With Vision-Language Models.
CoRR
Debodeep Banerjee, Stefano Teso, Burcu Sayin, Andrea Passerini
2024 J jnl
Logically Consistent Language Models via Neuro-Symbolic Integration.
CoRR
Diego Calanzone, Stefano Teso, Antonio Vergari
2024 J jnl
Perks and Pitfalls of Faithfulness in Regular, Self-Explainable and Domain Invariant GNNs.
CoRR
Steve Azzolin, Antonio Longa, Stefano Teso, Andrea Passerini
2024 J jnl
Personalized Algorithmic Recourse with Preference Elicitation.
Trans. Mach. Learn. Res.
Giovanni De Toni, Paolo Viappiani, Stefano Teso, Bruno Lepri, Andrea Passerini
2024 J jnl
Semantic Loss Functions for Neuro-Symbolic Structured Prediction.
CoRR
Kareem Ahmed, Stefano Teso, Paolo Morettin, Luca Di Liello, Pierfrancesco Ardino, Jacopo Gobbi, Yitao Liang, Eric Wang, Kai-Wei Chang, Andrea Passerini, Guy Van den Broeck
2024 J jnl
Spurious Correlations in Concept Drift: Can Explanatory Interaction Help?
CoRR
Cristiana Lalletti, Stefano Teso
2024 J jnl
Time Can Invalidate Algorithmic Recourse.
CoRR
Giovanni De Toni, Stefano Teso, Bruno Lepri, Andrea Passerini
2024 J jnl
Towards Logically Consistent Language Models via Probabilistic Reasoning.
CoRR
Diego Calanzone, Stefano Teso, Antonio Vergari
2023 A* conf
Concept-level Debugging of Part-Prototype Networks.
ICLR
Andrea Bontempelli, Stefano Teso, Katya Tentori, Fausto Giunchiglia, Andrea Passerini
2023 C conf
GlanceNets: Interpretable, Leak-proof Concept-based Models.
NeSy
Emanuele Marconato, Andrea Passerini, Stefano Teso
2023 J jnl
How Faithful are Self-Explainable GNNs?
CoRR
Marc Christiansen, Lea Villadsen, Zhiqiang Zhong, Stefano Teso, Davide Mottin
2023 J jnl
Interpretability Is in the Mind of the Beholder: A Causal Framework for Human-Interpretable Representation Learning.
Entropy
Emanuele Marconato, Andrea Passerini, Stefano Teso
2023 J jnl
Interpretability is in the Mind of the Beholder: A Causal Framework for Human-interpretable Representation Learning.
CoRR
Emanuele Marconato, Andrea Passerini, Stefano Teso
2023 J jnl
Learning MAX-SAT from contextual examples for combinatorial optimisation.
Artif. Intell.
Mohit Kumar, Samuel Kolb, Stefano Teso, Luc De Raedt
2023 J jnl
Learning to Guide Human Experts via Personalized Large Language Models.
CoRR
Debodeep Banerjee, Stefano Teso, Andrea Passerini
2023 J jnl
Leveraging explanations in interactive machine learning: An overview.
Frontiers Artif. Intell.
Stefano Teso, Öznur Alkan, Wolfgang Stammer, Elizabeth Daly
2023 J jnl
Neuro Symbolic Continual Learning: Knowledge, Reasoning Shortcuts and Concept Rehearsal.
CoRR
Emanuele Marconato, Gianpaolo Bontempo, Elisa Ficarra, Simone Calderara, Andrea Passerini, Stefano Teso
2023 A* conf
Neuro-Symbolic Continual Learning: Knowledge, Reasoning Shortcuts and Concept Rehearsal.
ICML
Emanuele Marconato, Gianpaolo Bontempo, Elisa Ficarra, Simone Calderara, Andrea Passerini, Stefano Teso
2023 C conf
Neuro-Symbolic Reasoning Shortcuts: Mitigation Strategies and their Limitations.
NeSy
Emanuele Marconato, Stefano Teso, Andrea Passerini
2023 J jnl
Neuro-Symbolic Reasoning Shortcuts: Mitigation Strategies and their Limitations.
CoRR
Emanuele Marconato, Stefano Teso, Andrea Passerini
2023 A* conf
Not All Neuro-Symbolic Concepts Are Created Equal: Analysis and Mitigation of Reasoning Shortcuts.
NeurIPS
Emanuele Marconato, Stefano Teso, Antonio Vergari, Andrea Passerini
2023 J jnl
Not All Neuro-Symbolic Concepts Are Created Equal: Analysis and Mitigation of Reasoning Shortcuts.
CoRR
Emanuele Marconato, Stefano Teso, Antonio Vergari, Andrea Passerini
2023 — ch.
Semantic Loss Functions for Neuro-Symbolic Structured Prediction.
Compendium of Neurosymbolic Artificial Intelligence
Kareem Ahmed, Stefano Teso, Paolo Morettin, Luca Di Liello, Pierfrancesco Ardino, Jacopo Gobbi, Yitao Liang, Eric Wang, Kai-Wei Chang, Andrea Passerini, Guy Van den Broeck
2023 C conf
Semantic Probabilistic Layers for Neuro-Symbolic Learning.
NeSy
Kareem Ahmed, Stefano Teso, Kai-Wei Chang, Guy Van den Broeck, Antonio Vergari
2022 — conf
Catastrophic Forgetting in Continual Concept Bottleneck Models.
ICIAP Workshops
Emanuele Marconato, Gianpaolo Bontempo, Stefano Teso, Elisa Ficarra, Simone Calderara, Andrea Passerini
2022 J jnl
Concept-level Debugging of Part-Prototype Networks.
CoRR
Andrea Bontempelli, Stefano Teso, Fausto Giunchiglia, Andrea Passerini
2022 J jnl
Efficient and Reliable Probabilistic Interactive Learning with Structured Outputs.
CoRR
Stefano Teso, Antonio Vergari
2022 A* conf
Federated Multi-Task Attention for Cross-Individual Human Activity Recognition.
IJCAI
Qiang Shen, Haotian Feng, Rui Song, Stefano Teso, Fausto Giunchiglia, Hao Xu
2022 J jnl
GlanceNets: Interpretabile, Leak-proof Concept-based Models.
CoRR
Emanuele Marconato, Andrea Passerini, Stefano Teso
2022 A* conf
GlanceNets: Interpretable, Leak-proof Concept-based Models.
NeurIPS
Emanuele Marconato, Andrea Passerini, Stefano Teso
2022 — ch.
Human-Machine Collaboration for Democratizing Data Science.
Human-Like Machine Intelligence
Clément Gautrais, Yann Dauxais, Stefano Teso, Samuel Kolb, Gust Verbruggen, Luc De Raedt
2022 J jnl
Human-in-the-loop handling of knowledge drift.
Data Min. Knowl. Discov.
Andrea Bontempelli, Fausto Giunchiglia, Andrea Passerini, Stefano Teso
2022 J jnl
Learning MAX-SAT from Contextual Examples for Combinatorial Optimisation.
CoRR
Mohit Kumar, Samuel Kolb, Stefano Teso, Luc De Raedt
2022 J jnl
Leveraging Explanations in Interactive Machine Learning: An Overview.
CoRR
Stefano Teso, Öznur Alkan, Wolfgang Stammer, Elizabeth Daly
2022 J jnl
Lifelong Personal Context Recognition.
CoRR
Andrea Bontempelli, Marcelo Dario Rodas Britez, Xiaoyue Li, Haonan Zhao, Luca Erculiani, Stefano Teso, Andrea Passerini, Fausto Giunchiglia
2022 J jnl
Machine Learning for Combinatorial Optimisation of Partially-Specified Problems: Regret Minimisation as a Unifying Lens.
CoRR
Stefano Teso, Laurens Bliek, Andrea Borghesi, Michele Lombardi, Neil Yorke-Smith, Tias Guns, Andrea Passerini
2022 A* conf
Machine Learning for Utility Prediction in Argument-Based Computational Persuasion.
AAAI
Ivan Donadello, Anthony Hunter, Stefano Teso, Mauro Dragoni
2022 A* conf
Semantic Probabilistic Layers for Neuro-Symbolic Learning.
NeurIPS
Kareem Ahmed, Stefano Teso, Kai-Wei Chang, Guy Van den Broeck, Antonio Vergari
2022 J jnl
Semantic Probabilistic Layers for Neuro-Symbolic Learning.
CoRR
Kareem Ahmed, Stefano Teso, Kai-Wei Chang, Guy Van den Broeck, Antonio Vergari
2021 A* conf
A Compositional Atlas of Tractable Circuit Operations for Probabilistic Inference.
NeurIPS
Antonio Vergari, YooJung Choi, Anji Liu, Stefano Teso, Guy Van den Broeck
2021 J jnl
A Compositional Atlas of Tractable Circuit Operations: From Simple Transformations to Complex Information-Theoretic Queries.
CoRR
Antonio Vergari, YooJung Choi, Anji Liu, Stefano Teso, Guy Van den Broeck
2021 J jnl
Bandits for Learning to Explain from Explanations.
CoRR
Freya Behrens, Stefano Teso, Davide Mottin
2021 — conf
Co-creating Platformer Levels with Constrained Adversarial Networks.
IUI Workshops
Paolo Morettin, Andrea Passerini, Stefano Teso
2021 J jnl
Human-in-the-loop Handling of Knowledge Drift.
CoRR
Andrea Bontempelli, Fausto Giunchiglia, Andrea Passerini, Stefano Teso
2021 A* conf
Interactive Label Cleaning with Example-based Explanations.
NeurIPS
Stefano Teso, Andrea Bontempelli, Fausto Giunchiglia, Andrea Passerini
2021 J jnl
Interactive Label Cleaning with Example-based Explanations.
CoRR
Stefano Teso, Andrea Bontempelli, Fausto Giunchiglia, Andrea Passerini
2021 J jnl
Learning Mixed-Integer Linear Programs from Contextual Examples.
CoRR
Mohit Kumar, Samuel Kolb, Luc De Raedt, Stefano Teso
2021 J jnl
Learning Modulo Theories for constructive preference elicitation.
Artif. Intell.
Paolo Campigotto, Stefano Teso, Roberto Battiti, Andrea Passerini
2021 J jnl
Machine Learning for Utility Prediction in Argument-Based Computational Persuasion.
CoRR
Ivan Donadello, Anthony Hunter, Stefano Teso, Mauro Dragoni
2021 C conf
Neuro-Symbolic Constraint Programming for Structured Prediction.
NeSy
Paolo Dragone, Stefano Teso, Andrea Passerini
2021 J jnl
Neuro-Symbolic Constraint Programming for Structured Prediction.
CoRR
Paolo Dragone, Stefano Teso, Andrea Passerini
2021 J jnl
Putting human behavior predictability in context.
EPJ Data Sci.
Wanyi Zhang, Qiang Shen, Stefano Teso, Bruno Lepri, Andrea Passerini, Ivano Bison, Fausto Giunchiglia
2021 J jnl
Toward a Unified Framework for Debugging Gray-box Models.
CoRR
Andrea Bontempelli, Fausto Giunchiglia, Andrea Passerini, Stefano Teso
2020 J jnl
Challenges in Interactive Machine Learning.
Künstliche Intell.
Stefano Teso, Oliver Hinz
2020 A* conf
Efficient Generation of Structured Objects with Constrained Adversarial Networks.
NeurIPS
Luca Di Liello, Pierfrancesco Ardino, Jacopo Gobbi, Paolo Morettin, Stefano Teso, Andrea Passerini
2020 J jnl
Efficient Generation of Structured Objects with Constrained Adversarial Networks.
CoRR
Luca Di Liello, Pierfrancesco Ardino, Jacopo Gobbi, Paolo Morettin, Stefano Teso, Andrea Passerini
2020 J jnl
Human-Machine Collaboration for Democratizing Data Science.
CoRR
Clément Gautrais, Yann Dauxais, Stefano Teso, Samuel Kolb, Gust Verbruggen, Luc De Raedt
2020 A* conf
Learning MAX-SAT from Contextual Examples for Combinatorial Optimisation.
AAAI
Mohit Kumar, Samuel Kolb, Stefano Teso, Luc De Raedt
2020 A* conf
Learning Weighted Model Integration Distributions.
AAAI
Paolo Morettin, Samuel Kolb, Stefano Teso, Andrea Passerini
2020 A* conf
Learning in the Wild with Incremental Skeptical Gaussian Processes.
IJCAI
Andrea Bontempelli, Stefano Teso, Fausto Giunchiglia, Andrea Passerini
2020 J jnl
Learning in the Wild with Incremental Skeptical Gaussian Processes.
CoRR
Andrea Bontempelli, Stefano Teso, Fausto Giunchiglia, Andrea Passerini
2020 J jnl
Machine Guides, Human Supervises: Interactive Learning with Global Explanations.
CoRR
Teodora Popordanoska, Mohit Kumar, Stefano Teso
2020 J jnl
Making deep neural networks right for the right scientific reasons by interacting with their explanations.
Nat. Mach. Intell.
Patrick Schramowski, Wolfgang Stammer, Stefano Teso, Anna Brugger, Franziska Herbert, Xiaoting Shao, Hans-Georg Luigs, Anne-Katrin Mahlein, Kristian Kersting
2020 — conf
Multi-Modal Subjective Context Modelling and Recognition.
MRC@ECAI
Qiang Shen, Stefano Teso, Wanyi Zhang, Hao Xu, Fausto Giunchiglia
2020 J jnl
Multi-Modal Subjective Context Modelling and Recognition.
CoRR
Qiang Shen, Stefano Teso, Wanyi Zhang, Hao Xu, Fausto Giunchiglia
2020 J jnl
Predictive spreadsheet autocompletion with constraints.
Mach. Learn.
Samuel Kolb, Stefano Teso, Anton Dries, Luc De Raedt
2020 J jnl
Right for the Wrong Scientific Reasons: Revising Deep Networks by Interacting with their Explanations.
CoRR
Patrick Schramowski, Wolfgang Stammer, Stefano Teso, Anna Brugger, Xiaoting Shao, Hans-Georg Luigs, Anne-Katrin Mahlein, Kristian Kersting
2020 J jnl
Toward Machine-Guided, Human-Initiated Explanatory Interactive Learning.
CoRR
Teodora Popordanoska, Mohit Kumar, Stefano Teso
2020 — conf
VisualSynth: Democratizing Data Science in Spreadsheets.
ECML/PKDD (5)
Clément Gautrais, Yann Dauxais, Samuel Kolb, Arcchit Jain, Mohit Kumar, Stefano Teso, Elia Van Wolputte, Gust Verbruggen, Luc De Raedt
2019 A* conf
Acquiring Integer Programs from Data.
IJCAI
Mohit Kumar, Stefano Teso, Luc De Raedt
2019 B conf
Automating Personnel Rostering by Learning Constraints Using Tensors.
ICTAI
Mohit Kumar, Stefano Teso, Patrick De Causmaecker, Luc De Raedt
2019 J jnl
Combining learning and constraints for genome-wide protein annotation.
BMC Bioinform.
Stefano Teso, Luca Masera, Michelangelo Diligenti, Andrea Passerini
2019 — conf
Constraint Learning: An Appetizer.
RW
Stefano Teso
2019 J jnl
Does Symbolic Knowledge Prevent Adversarial Fooling?
CoRR
Stefano Teso
2019 C conf
Explanatory Interactive Machine Learning.
AIES
Stefano Teso, Kristian Kersting
2019 B conf
Learning Linear Programs from Data.
ICTAI
Elias Arnold Schede, Samuel Kolb, Stefano Teso
2019 — conf
SynthLog: A Language for Synthesising Inductive Data Models (Extended Abstract).
PKDD/ECML Workshops (1)
Yann Dauxais, Clément Gautrais, Anton Dries, Arcchit Jain, Samuel Kolb, Mohit Kumar, Stefano Teso, Elia Van Wolputte, Gust Verbruggen, Luc De Raedt
2018 J jnl
"Why Should I Trust Interactive Learners?" Explaining Interactive Queries of Classifiers to Users.
CoRR
Stefano Teso, Kristian Kersting
2018 — conf
Automating Layout Synthesis with Constructive Preference Elicitation.
ECML/PKDD (3)
Luca Erculiani, Paolo Dragone, Stefano Teso, Andrea Passerini
2018 J jnl
Automating Personnel Rostering by Learning Constraints Using Tensors.
CoRR
Mohit Kumar, Stefano Teso, Luc De Raedt
2018 A* conf
Constructive Preference Elicitation Over Hybrid Combinatorial Spaces.
AAAI
Paolo Dragone, Stefano Teso, Andrea Passerini
2018 A* conf
Decomposition Strategies for Constructive Preference Elicitation.
AAAI
Paolo Dragone, Stefano Teso, Mohit Kumar, Andrea Passerini
2018 B conf
Elements of an Automatic Data Scientist.
IDA
Luc De Raedt, Hendrik Blockeel, Samuel Kolb, Stefano Teso, Gust Verbruggen
2018 A* conf
Learning Constraints From Examples.
AAAI
Luc De Raedt, Andrea Passerini, Stefano Teso
2018 A* conf
Learning SMT(LRA) Constraints using SMT Solvers.
IJCAI
Samuel Kolb, Stefano Teso, Andrea Passerini, Luc De Raedt
2018 A* conf
Pyconstruct: Constraint Programming Meets Structured Prediction.
IJCAI
Paolo Dragone, Stefano Teso, Andrea Passerini
2017 A* conf
Coactive Critiquing: Elicitation of Preferences and Features.
AAAI
Stefano Teso, Paolo Dragone, Andrea Passerini
2017 — conf
Constructive Preference Elicitation for Multiple Users with Setwise Max-margin.
ADT
Stefano Teso, Andrea Passerini, Paolo Viappiani
2017 J jnl
Constructive Preference Elicitation over Hybrid Combinatorial Spaces.
CoRR
Paolo Dragone, Stefano Teso, Andrea Passerini
2017 J jnl
Constructive Preference Elicitation.
Frontiers Robotics AI
Paolo Dragone, Stefano Teso, Andrea Passerini
2017 J jnl
Decomposition Strategies for Constructive Preference Elicitation.
CoRR
Paolo Dragone, Stefano Teso, Mohit Kumar, Andrea Passerini
2017 J jnl
Structured learning modulo theories.
Artif. Intell.
Stefano Teso, Roberto Sebastiani, Andrea Passerini
2016 J jnl
Coactive Critiquing: Elicitation of Preferences and Features.
CoRR
Stefano Teso, Paolo Dragone, Andrea Passerini
2016 A* conf
Constructive Preference Elicitation by Setwise Max-Margin Learning.
IJCAI
Stefano Teso, Andrea Passerini, Paolo Viappiani
2016 J jnl
Constructive Preference Elicitation by Setwise Max-margin Learning.
CoRR
Stefano Teso, Andrea Passerini, Paolo Viappiani
2014 J jnl
Hybrid SRL with Optimization Modulo Theories.
CoRR
Stefano Teso, Roberto Sebastiani, Andrea Passerini
2014 J jnl
Improved multi-level protein¿protein interaction prediction with semantic-based regularization.
BMC Bioinform.
Claudio Saccà, Stefano Teso, Michelangelo Diligenti, Andrea Passerini
2014 J jnl
Joint probabilistic-logical refinement of multiple protein feature predictors.
BMC Bioinform.
Stefano Teso, Andrea Passerini
2014 J jnl
Predicting virus mutations through statistical relational learning.
BMC Bioinform.
Elisa Cilia, Stefano Teso, Sergio Ammendola, Tom Lenaerts, Andrea Passerini
2014 J jnl
Structured Learning Modulo Theories.
CoRR
Stefano Teso, Roberto Sebastiani, Andrea Passerini
2013 — conf
Ego-centric Graphlets for Personality and Affective States Recognition.
SocialCom
Stefano Teso, Jacopo Staiano, Bruno Lepri, Andrea Passerini, Fabio Pianesi
2013 — —
Statistical Relational Learning for Proteomics: Function, Interactions and Evolution.
Stefano Teso
2012 — conf
Predicting virus mutations through relational learning.
AIMM
Elisa Cilia, Stefano Teso, Sergio Ammendola, Tom Lenaerts, Andrea Passerini
2010 — conf
An On/Off Lattice Approach to Protein Structure Prediction from Contact Maps.
PRIB
Stefano Teso, Cristina Di Risio, Andrea Passerini, Roberto Battiti
2010 — conf
From On-Going to Complete Activity Recognition Exploiting Related Activities.
HBU
Carlo Nicolini, Bruno Lepri, Stefano Teso, Andrea Passerini