Andrea Passerini

240 papers A* 32A 13B 2C 6Journal 141Unranked 37

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Benchmarking XAI Explanations with Human-Aligned Evaluations. AAAI Rémi Kazmierczak, Steve Azzolin, Eloïse Berthier, Anna Hedström, Patricia Delhomme, David Filliat, Nicolas Bousquet, Goran Frehse, Massimiliano Mancini, Baptiste Caramiaux, Andrea Passerini, Gianni Franchi
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	J	`jnl`	Rethinking GNNs and Missing Features: Challenges, Evaluation and a Robust Solution. CoRR Francesco Ferrini, Veronica Lachi, Antonio Longa, Bruno Lepri, Akiyoshi Matono, Andrea Passerini, Xin Liu, Manfred Jaeger
2025	J	`jnl`	A Neuro-Symbolic Approach for Probabilistic Reasoning on Graph Data. CoRR Raffaele Pojer, Andrea Passerini, Kim G. Larsen, Manfred Jaeger
2025	A	`conf`	A Probabilistic Neuro-symbolic Layer for Algebraic Constraint Satisfaction. UAI Leander Kurscheidt, Paolo Morettin, Roberto Sebastiani, Andrea Passerini, Antonio Vergari
2025	J	`jnl`	A Probabilistic Neuro-symbolic Layer for Algebraic Constraint Satisfaction. CoRR Leander Kurscheidt, Paolo Morettin, Roberto Sebastiani, Andrea Passerini, Antonio Vergari
2025	J	`jnl`	A Self-Explainable Heterogeneous GNN for Relational Deep Learning. Trans. Mach. Learn. Res. Francesco Ferrini, Antonio Longa, Andrea Passerini, Manfred Jaeger
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`	Boosting Relational Deep Learning with Pretrained Tabular Models. CoRR Veronica Lachi, Antonio Longa, Beatrice Bevilacqua, Bruno Lepri, Andrea Passerini, Bruno Ribeiro
2025	J	`jnl`	Boosting Team Modeling through Tempo-Relational Representation Learning. CoRR Vincenzo Marco De Luca, Giovanna Varni, Andrea Passerini
2025	J	`jnl`	Bridging Theory and Practice in Link Representation with Graph Neural Networks. CoRR Veronica Lachi, Francesco Ferrini, Antonio Longa, Bruno Lepri, Andrea Passerini, Manfred Jaeger
2025	J	`jnl`	Bringing Machine Learning Classifiers Into Critical Cyber-Physical Systems: A Matter of Design. IEEE Access Burcu Sayin, Tommaso Zoppi, Nicolò Marchini, Fahad Ahmed KhoKhar, Andrea Passerini
2025	J	`jnl`	Community Aware Temporal Network Generation. CoRR Nicolò Alessandro Girardini, Antonio Longa, Gaia Trebucchi, Giulia Cencetti, Andrea Passerini, Bruno Lepri
2025	J	`jnl`	Community aware temporal network generation. Appl. Netw. Sci. Nicolò Alessandro Girardini, Antonio Longa, Gaia Trebucchi, Giulia Cencetti, Andrea Passerini, Bruno Lepri
2025	J	`jnl`	Explaining the Explainers in Graph Neural Networks: a Comparative Study. ACM Comput. Surv. Antonio Longa, Steve Azzolin, Gabriele Santin, Giulia Cencetti, Pietro Lio, Bruno Lepri, Andrea Passerini
2025	J	`jnl`	GNNs Meet Sequence Models Along the Shortest-Path: an Expressive Method for Link Prediction. CoRR Francesco Ferrini, Veronica Lachi, Antonio Longa, Bruno Lepri, Andrea Passerini
2025	J	`jnl`	Hyperdimensional Probe: Decoding LLM Representations via Vector Symbolic Architectures. CoRR Marco Bronzini, Carlo Nicolini, Bruno Lepri, Jacopo Staiano, Andrea Passerini
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	—	`conf`	Legal Argument Mining: Recent Trends and Open Challenges. AMELR@ICAIL Ruta Liepina, Francesca Galloni, Francesca Lagioia, Marco Lippi, Mariaceleste Musicco, Burcu Sayin, Andrea Passerini, Giovanni Sartor
2025	J	`jnl`	MedGellan: LLM-Generated Medical Guidance to Support Physicians. CoRR Debodeep Banerjee, Burcu Sayin, Stefano Teso, Andrea Passerini
2025	J	`jnl`	MedSyn: Enhancing Diagnostics with Human-AI Collaboration. CoRR Burcu Sayin, Ipek Baris Schlicht, Ngoc Vo Hong, Sara Allievi, Jacopo Staiano, Pasquale Minervini, Andrea Passerini
2025	J	`jnl`	Multiclass Local Calibration With the Jensen-Shannon Distance. CoRR Cesare Barbera, Lorenzo Perini, Giovanni De Toni, Andrea Passerini, Andrea Pugnana
2025	J	`jnl`	Noiser: Bounded Input Perturbations for Attributing Large Language Models. CoRR Mohammad Reza Ghasemi Madani, Aryo Pradipta Gema, Gabriele Sarti, Yu Zhao, Pasquale Minervini, 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	—	`ed.`	Proceedings of the 4th International Conference on Hybrid Human-Artificial Intelligence, HHAI 2025, Pisa, Italy, June 9-13, 2025 HHAI Dino Pedreschi, Michela Milano, Ilaria Tiddi, Stuart Russell, Chiara Boldrini, Luca Pappalardo, Andrea Passerini, Shenghui Wang
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`	Rethinking and recomputing the value of machine learning models. Artif. Intell. Rev. Burcu Sayin, Jie Yang, Xinyue Chen, Andrea Passerini, Fabio Casati
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	A*	`conf`	Simple Path Structural Encoding for Graph Transformers. ICML Louis Airale, Antonio Longa, Mattia Rigon, Andrea Passerini, Roberto Passerone
2025	J	`jnl`	Simple Path Structural Encoding for Graph Transformers. CoRR Louis Airale, Antonio Longa, Mattia Rigon, Andrea Passerini, Roberto Passerone
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
2025	J	`jnl`	To Ask or Not to Ask: Learning to Require Human Feedback. CoRR Andrea Pugnana, Giovanni De Toni, Cesare Barbera, Roberto Pellungrini, Bruno Lepri, Andrea Passerini
2025	J	`jnl`	Towards Reliable Retrieval in RAG Systems for Large Legal Datasets. CoRR Markus Reuter, Tobias Lingenberg, Ruta Liepina, Francesca Lagioia, Marco Lippi, Giovanni Sartor, Andrea Passerini, Burcu Sayin
2025	J	`jnl`	WEISS: Wasserstein efficient sampling strategy for LLMs in drug design. Mach. Learn. Sci. Technol. Riccardo Tedoldi, Junyong Li, Ola Engkvist, Andrea Passerini, Annie M. Westerlund, Alessandro Tibo
2025	A	`conf`	You Don't Bring Me Flowers: Mitigating Unwanted Recommendations Through Conformal Risk Control. RecSys Giovanni De Toni, Erasmo Purificato, Emilia Gómez, Andrea Passerini, Bruno Lepri, Cristian Consonni
2025	J	`jnl`	You Don't Bring Me Flowers: Mitigating Unwanted Recommendations Through Conformal Risk Control. CoRR Giovanni De Toni, Erasmo Purificato, Emilia Gómez, Bruno Lepri, Andrea Passerini, Cristian Consonni
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	J	`jnl`	A Self-Explainable Heterogeneous GNN for Relational Deep Learning. CoRR Francesco Ferrini, Antonio Longa, Andrea Passerini, Manfred Jaeger
2024	—	`conf`	A Simple and Expressive Graph Neural Network Based Method for Structural Link Representation. GRaM Veronica Lachi, Francesco Ferrini, Antonio Longa, Bruno Lepri, Andrea Passerini
2024	J	`jnl`	A Unified Framework for Probabilistic Verification of AI Systems via Weighted Model Integration. CoRR Paolo Morettin, Andrea Passerini, Roberto Sebastiani
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	J	`jnl`	Benchmarking XAI Explanations with Human-Aligned Evaluations. CoRR Rémi Kazmierczak, Steve Azzolin, Eloïse Berthier, Anna Hedström, Patricia Delhomme, Nicolas Bousquet, Goran Frehse, Massimiliano Mancini, Baptiste Caramiaux, Andrea Passerini, Gianni Franchi
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	—	`conf`	Can LLMs Correct Physicians, Yet? Investigating Effective Interaction Methods in the Medical Domain. ClinicalNLP@NAACL Burcu Sayin, Pasquale Minervini, Jacopo Staiano, Andrea Passerini
2024	J	`jnl`	Can LLMs Correct Physicians, Yet? Investigating Effective Interaction Methods in the Medical Domain. CoRR Burcu Sayin, Pasquale Minervini, Jacopo Staiano, Andrea Passerini
2024	J	`jnl`	Enhancing SMT-based Weighted Model Integration by structure awareness. Artif. Intell. Giuseppe Spallitta, Gabriele Masina, Paolo Morettin, Andrea Passerini, Roberto Sebastiani
2024	J	`jnl`	Exploiting Preference Elicitation in Interactive and User-centered Algorithmic Recourse: An Initial Exploration. CoRR Seyedehdelaram Esfahani, Giovanni De Toni, Bruno Lepri, Andrea Passerini, Katya Tentori, Massimo Zancanaro
2024	J	`jnl`	Fostering effective hybrid human-LLM reasoning and decision making. Frontiers Artif. Intell. Andrea Passerini, Aryo Gema, Pasquale Minervini, Burcu Sayin, Katya Tentori
2024	J	`jnl`	Glitter or gold? Deriving structured insights from sustainability reports via large language models. EPJ Data Sci. Marco Bronzini, Carlo Nicolini, Bruno Lepri, Andrea Passerini, Jacopo Staiano
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`	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`	Personalized bundle recommendation using preference elicitation and the Choquet integral. Frontiers Artif. Intell. Erich Robbi, Marco Bronzini, Paolo Viappiani, Andrea Passerini
2024	A	`conf`	Preference Elicitation in Interactive and User-centered Algorithmic Recourse: an Initial Exploration. UMAP Seyedehdelaram Esfahani, Giovanni De Toni, Bruno Lepri, Andrea Passerini, Katya Tentori, Massimo Zancanaro
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	—	`conf`	Sheaf Diffusion Goes Nonlinear: Enhancing GNNs with Adaptive Sheaf Laplacians. GRaM Olga Zaghen, Antonio Longa, Steve Azzolin, Lev Telyatnikov, Andrea Passerini, Pietro Liò
2024	J	`jnl`	Time Can Invalidate Algorithmic Recourse. CoRR Giovanni De Toni, Stefano Teso, Bruno Lepri, Andrea Passerini
2024	J	`jnl`	Unveiling LLMs: The Evolution of Latent Representations in a Temporal Knowledge Graph. CoRR Marco Bronzini, Carlo Nicolini, Bruno Lepri, Jacopo Staiano, Andrea Passerini
2024	—	`conf`	xAI-Drop: Don't Use What You Cannot Explain. LoG Vincenzo Marco De Luca, Antonio Longa, Pietro Lio, Andrea Passerini
2024	J	`jnl`	xAI-Drop: Don't Use What You Cannot Explain. CoRR Vincenzo Marco De Luca, Antonio Longa, Andrea Passerini, Pietro Liò
2023	A	`conf`	A Neuro-Symbolic Approach for Non-Intrusive Load Monitoring. ECAI Gianluca Apriceno, Luca Erculiani, Andrea Passerini
2023	—	`conf`	A Simple Latent Variable Model for Graph Learning and Inference. LoG Manfred Jaeger, Antonio Longa, Steve Azzolin, Oliver Schulte, Andrea Passerini
2023	J	`jnl`	Adaptation of Student Behavioural Routines during COVID-19: A Multimodal Approach. CoRR Nicolò Alessandro Girardini, Simone Centellegher, Andrea Passerini, Ivano Bison, Fausto Giunchiglia, Bruno Lepri
2023	J	`jnl`	Adaptation of student behavioural routines during Covid-19: a multimodal approach. EPJ Data Sci. Nicolò Alessandro Girardini, Simone Centellegher, Andrea Passerini, Ivano Bison, Fausto Giunchiglia, Bruno Lepri
2023	A*	`conf`	Concept-level Debugging of Part-Prototype Networks. ICLR Andrea Bontempelli, Stefano Teso, Katya Tentori, Fausto Giunchiglia, Andrea Passerini
2023	—	`conf`	Egocentric Hierarchical Visual Semantics. HHAI Luca Erculiani, Andrea Bontempelli, Andrea Passerini, Fausto Giunchiglia
2023	J	`jnl`	Egocentric Hierarchical Visual Semantics. CoRR Luca Erculiani, Andrea Bontempelli, Andrea Passerini, Fausto Giunchiglia
2023	J	`jnl`	Enhancing SMT-based Weighted Model Integration by Structure Awareness. CoRR Giuseppe Spallitta, Gabriele Masina, Paolo Morettin, Andrea Passerini, Roberto Sebastiani
2023	A	`conf`	Environmentally-Aware Bundle Recommendation Using the Choquet Integral. ECAI Marco Bronzini, Erich Robbi, Paolo Viappiani, Andrea Passerini
2023	—	`conf`	Generalized Reasoning With Graph Neural Networks by Relational Bayesian Network Encodings. LoG Raffaele Pojer, Andrea Passerini, Manfred Jaeger
2023	C	`conf`	GlanceNets: Interpretable, Leak-proof Concept-based Models. NeSy Emanuele Marconato, Andrea Passerini, Stefano Teso
2023	J	`jnl`	Glitter or Gold? Deriving Structured Insights from Sustainability Reports via Large Language Models. CoRR Marco Bronzini, Carlo Nicolini, Bruno Lepri, Andrea Passerini, Jacopo Staiano
2023	A*	`conf`	Global Explainability of GNNs via Logic Combination of Learned Concepts. ICLR Steve Azzolin, Antonio Longa, Pietro Barbiero, Pietro Liò, Andrea Passerini
2023	J	`jnl`	Graph Neural Networks for Temporal Graphs: State of the Art, Open Challenges, and Opportunities. Trans. Mach. Learn. Res. Antonio Longa, Veronica Lachi, Gabriele Santin, Monica Bianchini, Bruno Lepri, Pietro Lio, Franco Scarselli, Andrea Passerini
2023	J	`jnl`	Graph Neural Networks for temporal graphs: State of the art, open challenges, and opportunities. CoRR Antonio Longa, Veronica Lachi, Gabriele Santin, Monica Bianchini, Bruno Lepri, Pietro Liò, Franco Scarselli, Andrea Passerini
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`	Interval Logic Tensor Networks. CoRR Samy Badreddine, Gianluca Apriceno, Andrea Passerini, Luciano Serafini
2023	J	`jnl`	Learning to Guide Human Experts via Personalized Large Language Models. CoRR Debodeep Banerjee, Stefano Teso, Andrea Passerini
2023	—	`conf`	Meta-Path Learning for Multi-Relational Graph Neural Networks. LoG Francesco Ferrini, Antonio Longa, Andrea Passerini, Manfred Jaeger
2023	J	`jnl`	Meta-Path Learning for Multi-relational Graph Neural Networks. CoRR Francesco Ferrini, Antonio Longa, Andrea Passerini, Manfred Jaeger
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	J	`jnl`	Synthesizing explainable counterfactual policies for algorithmic recourse with program synthesis. Mach. Learn. Giovanni De Toni, Bruno Lepri, Andrea Passerini
2023	—	`conf`	Value-Aware Active Learning. HHAI Burcu Sayin, Jie Yang, Andrea Passerini, Fabio Casati
2023	—	`conf`	Value-Based Hybrid Intelligence. HHAI Burcu Sayin, Jie Yang, Andrea Passerini, Fabio Casati
2022	C	`conf`	A Neuro-Symbolic Approach for Real-World Event Recognition from Weak Supervision. TIME Gianluca Apriceno, Andrea Passerini, Luciano Serafini
2022	J	`jnl`	An efficient procedure for mining egocentric temporal motifs. Data Min. Knowl. Discov. Antonio Longa, Giulia Cencetti, Bruno Lepri, Andrea Passerini
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`	Explaining the Explainers in Graph Neural Networks: a Comparative Study. CoRR Antonio Longa, Steve Azzolin, Gabriele Santin, Giulia Cencetti, Pietro Liò, Bruno Lepri, Andrea Passerini
2022	—	`conf`	Generalising via Meta-examples for Continual Learning in the Wild. LOD (1) Alessia Bertugli, Stefano Vincenzi, Simone Calderara, Andrea Passerini
2022	J	`jnl`	Generating personalized counterfactual interventions for algorithmic recourse by eliciting user preferences. CoRR Giovanni De Toni, Paolo Viappiani, Bruno Lepri, Andrea Passerini
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	J	`jnl`	Global Explainability of GNNs via Logic Combination of Learned Concepts. CoRR Steve Azzolin, Antonio Longa, Pietro Barbiero, Pietro Liò, Andrea Passerini
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`	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	J	`jnl`	Neighbourhood matching creates realistic surrogate temporal networks. CoRR Antonio Longa, Giulia Cencetti, Sune Lehmann, Andrea Passerini, Bruno Lepri
2022	—	`ed.`	PAIS 2022 - 11th Conference on Prestigious Applications of Artificial Intelligence, 25 July 2022, Vienna, Austria (co-located with IJCAI-ECAI 2022) PAIS@ECAI Andrea Passerini, Thomas Schiex
2022	J	`jnl`	Rethinking and Recomputing the Value of ML Models. CoRR Burcu Sayin, Fabio Casati, Andrea Passerini, Jie Yang, Xinyue Chen
2022	J	`jnl`	SMT-based Weighted Model Integration with Structure Awareness. CoRR Giuseppe Spallitta, Gabriele Masina, Paolo Morettin, Andrea Passerini, Roberto Sebastiani
2022	A	`conf`	SMT-based weighted model integration with structure awareness. UAI Giuseppe Spallitta, Gabriele Masina, Paolo Morettin, Andrea Passerini, Roberto Sebastiani
2022	J	`jnl`	Skeptical Learning - An Algorithm and a Platform for Dealing with Mislabeling in Personal Context Recognition. Algorithms Wanyi Zhang, Mattia Zeni, Andrea Passerini, Fausto Giunchiglia
2022	J	`jnl`	Synthesizing explainable counterfactual policies for algorithmic recourse with program synthesis. CoRR Giovanni De Toni, Bruno Lepri, Andrea Passerini
2021	C	`conf`	A Neuro-Symbolic Approach to Structured Event Recognition. TIME Gianluca Apriceno, Andrea Passerini, Luciano Serafini
2021	J	`jnl`	A review and experimental analysis of active learning over crowdsourced data. Artif. Intell. Rev. Burcu Sayin, Evgeny Krivosheev, Jie Yang, Andrea Passerini, Fabio Casati
2021	J	`jnl`	An Efficient Procedure for Mining Egocentric Temporal Motifs. CoRR Antonio Longa, Giulia Cencetti, Bruno Lepri, Andrea Passerini
2021	—	`conf`	Co-creating Platformer Levels with Constrained Adversarial Networks. IUI Workshops Paolo Morettin, Andrea Passerini, Stefano Teso
2021	J	`jnl`	Generalising via Meta-Examples for Continual Learning in the Wild. CoRR Alessia Bertugli, Stefano Vincenzi, Simone Calderara, Andrea Passerini
2021	J	`jnl`	Give more data, awareness and control to individual citizens, and they will help COVID-19 containment. Ethics Inf. Technol. Mirco Nanni, Gennady L. Andrienko, Albert-László Barabási, Chiara Boldrini, Francesco Bonchi, Ciro Cattuto, Francesca Chiaromonte, Giovanni Comandè, Marco Conti, Mark Coté, Frank Dignum, Virginia Dignum, Josep Domingo-Ferrer, Paolo Ferragina, Fosca Giannotti, Riccardo Guidotti, Dirk Helbing, Kimmo Kaski, János Kertész, Sune Lehmann, Bruno Lepri, Paul Lukowicz, Stan Matwin, David Megías Jiménez, Anna Monreale, Katharina Morik, Nuria Oliver, Andrea Passarella, Andrea Passerini, Dino Pedreschi, Alex Pentland, Fabio Pianesi, Francesca Pratesi, Salvatore Rinzivillo, Salvatore Ruggieri, Arno Siebes, Vicenç Torra, Roberto Trasarti, Jeroen van den Hoven, Alessandro Vespignani
2021	J	`jnl`	Human-in-the-loop Handling of Knowledge Drift. CoRR Andrea Bontempelli, Fausto Giunchiglia, Andrea Passerini, Stefano Teso
2021	A*	`conf`	Hybrid Probabilistic Inference with Logical and Algebraic Constraints: a Survey. IJCAI Paolo Morettin, Pedro Zuidberg Dos Martires, Samuel Kolb, Andrea Passerini
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	A*	`conf`	Learning Aggregation Functions. IJCAI Giovanni Pellegrini, Alessandro Tibo, Paolo Frasconi, Andrea Passerini, Manfred Jaeger
2021	J	`jnl`	Learning Modulo Theories for constructive preference elicitation. Artif. Intell. Paolo Campigotto, Stefano Teso, Roberto Battiti, Andrea Passerini
2021	J	`jnl`	Learning compositional programs with arguments and sampling. CoRR Giovanni De Toni, Luca Erculiani, Andrea Passerini
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`	The Science of Rejection: A Research Area for Human Computation. CoRR Burcu Sayin, Jie Yang, Andrea Passerini, Fabio Casati
2021	J	`jnl`	Toward a Unified Framework for Debugging Gray-box Models. CoRR Andrea Bontempelli, Fausto Giunchiglia, Andrea Passerini, Stefano Teso
2021	J	`jnl`	Towards Visual Semantics. CoRR Fausto Giunchiglia, Luca Erculiani, Andrea Passerini
2021	J	`jnl`	Towards Visual Semantics. SN Comput. Sci. Fausto Giunchiglia, Luca Erculiani, Andrea Passerini
2020	A	`conf`	Continual Egocentric Object Recognition. ECAI Luca Erculiani, Fausto Giunchiglia, Andrea Passerini
2020	J	`jnl`	Dealing with Mislabeling via Interactive Machine Learning. Künstliche Intell. Wanyi Zhang, Andrea Passerini, Fausto Giunchiglia
2020	J	`jnl`	Deep Learning for Classification and Localization of COVID-19 Markers in Point-of-Care Lung Ultrasound. IEEE Trans. Medical Imaging Subhankar Roy, Willi Menapace, Sebastiaan Oei, Ben Luijten, Enrico Fini, Cristiano Saltori, Iris A. M. Huijben, Nishith Chennakeshava, Federico Mento, Alessandro Sentelli, Emanuele Peschiera, Riccardo Trevisan, Giovanni Maschietto, Elena Torri, Riccardo Inchingolo, Andrea Smargiassi, Gino Soldati, Paolo Rota, Andrea Passerini, Ruud J. G. van Sloun, Elisa Ricci, Libertario Demi
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`	Few-Shot Unsupervised Continual Learning through Meta-Examples. CoRR Alessia Bertugli, Stefano Vincenzi, Simone Calderara, Andrea Passerini
2020	J	`jnl`	Give more data, awareness and control to individual citizens, and they will help COVID-19 containment. CoRR Mirco Nanni, Gennady L. Andrienko, Albert-László Barabási, Chiara Boldrini, Francesco Bonchi, Ciro Cattuto, Francesca Chiaromonte, Giovanni Comandè, Marco Conti, Mark Coté, Frank Dignum, Virginia Dignum, Josep Domingo-Ferrer, Fosca Giannotti, Riccardo Guidotti, Dirk Helbing, János Kertész, Sune Lehmann, Bruno Lepri, Paul Lukowicz, Anna Monreale, Katharina Morik, Nuria Oliver, Andrea Passarella, Andrea Passerini, Dino Pedreschi, Alex Pentland, Francesca Pratesi, Salvatore Rinzivillo, Salvatore Ruggieri, Arno Siebes, Roberto Trasarti, Jeroen van den Hoven, Alessandro Vespignani
2020	J	`jnl`	Give more data, awareness and control to individual citizens, and they will help COVID-19 containment. Trans. Data Priv. Mirco Nanni, Gennady L. Andrienko, Albert-László Barabási, Chiara Boldrini, Francesco Bonchi, Ciro Cattuto, Francesca Chiaromonte, Giovanni Comandè, Marco Conti, Mark Coté, Frank Dignum, Virginia Dignum, Josep Domingo-Ferrer, Paolo Ferragina, Fosca Giannotti, Riccardo Guidotti, Dirk Helbing, Kimmo Kaski, János Kertész, Sune Lehmann, Bruno Lepri, Paul Lukowicz, Stan Matwin, David Megías, Anna Monreale, Katharina Morik, Nuria Oliver, Andrea Passarella, Andrea Passerini, Dino Pedreschi, Alex Pentland, Fabio Pianesi, Francesca Pratesi, Salvatore Rinzivillo, Salvatore Ruggieri, Arno Siebes, Vicenç Torra, Roberto Trasarti, Jeroen van den Hoven, Alessandro Vespignani
2020	J	`jnl`	Learning Aggregation Functions. CoRR Giovanni Pellegrini, Alessandro Tibo, Paolo Frasconi, Andrea Passerini, Manfred Jaeger
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
2019	J	`jnl`	A Big Data and machine learning approach for network monitoring and security. Secur. Priv. Leonardo Maccari, Andrea Passerini
2019	J	`jnl`	Advanced SMT techniques for weighted model integration. Artif. Intell. Paolo Morettin, Andrea Passerini, Roberto Sebastiani
2019	J	`jnl`	Combining learning and constraints for genome-wide protein annotation. BMC Bioinform. Stefano Teso, Luca Masera, Michelangelo Diligenti, Andrea Passerini
2019	J	`jnl`	Continual egocentric object recognition. CoRR Luca Erculiani, Fausto Giunchiglia, Andrea Passerini
2019	J	`jnl`	Counts-of-counts similarity for prediction and search in relational data. Data Min. Knowl. Discov. Manfred Jaeger, Marco Lippi, Giovanni Pellegrini, Andrea Passerini
2019	J	`jnl`	Fixing Mislabeling by Human Annotators Leveraging Conflict Resolution and Prior Knowledge. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. Mattia Zeni, Wanyi Zhang, Enrico Bignotti, Andrea Passerini, Fausto Giunchiglia
2019	J	`jnl`	Special issue: Selected and revised papers from the 17th International Conference of the Italian Association for Artificial Intelligence. Intelligenza Artificiale Chiara Ghidini, Bernardo Magnini, Andrea Passerini
2019	A*	`conf`	The pywmi Framework and Toolbox for Probabilistic Inference using Weighted Model Integration. IJCAI Samuel Kolb, Paolo Morettin, Pedro Zuidberg Dos Martires, Francesco Sommavilla, Andrea Passerini, Roberto Sebastiani, Luc De Raedt
2018	—	`ed.`	AIIA 2018 - Advances in Artificial Intelligence - XVIIth International Conference of the Italian Association for Artificial Intelligence, Trento, Italy, November 20-23, 2018, Proceedings AIIA Chiara Ghidini, Bernardo Magnini, Andrea Passerini, Paolo Traverso
2018	—	`conf`	Automating Layout Synthesis with Constructive Preference Elicitation. ECML/PKDD (3) Luca Erculiani, Paolo Dragone, Stefano Teso, Andrea Passerini
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	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`	No more ready-made deals: constructive recommendation for telco service bundling. RecSys Paolo Dragone, Giovanni Pellegrini, Michele Vescovi, Katya Tentori, Andrea Passerini
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	A*	`conf`	Efficient Weighted Model Integration via SMT-Based Predicate Abstraction. IJCAI Paolo Morettin, Andrea Passerini, Roberto Sebastiani
2017	J	`jnl`	Introduction to the special issue on Combining Constraint Solving with Mining and Learning. Artif. Intell. Andrea Passerini, Guido Tack, Tias Guns
2017	J	`jnl`	Structured learning modulo theories. Artif. Intell. Stefano Teso, Roberto Sebastiani, Andrea Passerini
2016	A	`conf`	Classtering: Joint Classification and Clustering with Mixture of Factor Analysers. ECAI Emanuele Sansone, Andrea Passerini, Francesco G. B. De Natale
2016	J	`jnl`	Coactive Critiquing: Elicitation of Preferences and Features. CoRR Stefano Teso, Paolo Dragone, Andrea Passerini
2016	A*	`conf`	Component Caching in Hybrid Domains with Piecewise Polynomial Densities. AAAI Vaishak Belle, Guy Van den Broeck, 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
2016	J	`jnl`	Guest editors' introduction to the EcmlPkdd 2016 journal track special issue of Machine Learning. Data Min. Knowl. Discov. Thomas Gärtner, Mirco Nanni, Andrea Passerini, Céline Robardet
2016	J	`jnl`	Guest editors' introduction to the EcmlPkdd 2016 journal track special issue of Machine Learning. Mach. Learn. Thomas Gärtner, Mirco Nanni, Andrea Passerini, Céline Robardet
2016	A*	`conf`	Hashing-Based Approximate Probabilistic Inference in Hybrid Domains: An Abridged Report. IJCAI Vaishak Belle, Guy Van den Broeck, Andrea Passerini
2016	—	`ch.`	Learning Modulo Theories. Data Mining and Constraint Programming Andrea Passerini
2016	J	`jnl`	RNAcommender: genome-wide recommendation of RNA-protein interactions. Bioinform. Gianluca Corrado, Toma Tebaldi, Fabrizio Costa, Paolo Frasconi, Andrea Passerini
2015	A*	`conf`	Bootstrapping Domain Ontologies from Wikipedia: A Uniform Approach. IJCAI Daniil Mirylenka, Andrea Passerini, Luciano Serafini
2015	A	`conf`	Hashing-Based Approximate Probabilistic Inference in Hybrid Domains. UAI Vaishak Belle, Guy Van den Broeck, Andrea Passerini
2015	J	`jnl`	Learning Modulo Theories for preference elicitation in hybrid domains. CoRR Paolo Campigotto, Roberto Battiti, Andrea Passerini
2015	A*	`conf`	Probabilistic Inference in Hybrid Domains by Weighted Model Integration. IJCAI Vaishak Belle, Andrea Passerini, Guy Van den Broeck
2015	—	`ed.`	Proceedings of the IJCAI 2015 Joint Workshop on Constraints and Preferences for Configuration and Recommendation and Intelligent Techniques for Web Personalization co-located with the 24th International Joint Conference on Artificial Intelligence (IJCAI 2015), Buenos Aires, Argentina, July 27, 2015. CPCR+ITWP@IJCAI Dietmar Jannach, Jérôme Mengin, Bamshad Mobasher, Andrea Passerini, Paolo Viappiani
2014	J	`jnl`	Active Learning of Pareto Fronts. IEEE Trans. Neural Networks Learn. Syst. Paolo Campigotto, Andrea Passerini, Roberto Battiti
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`	Improving Activity Recognitionby Segmental Pattern Mining. IEEE Trans. Knowl. Data Eng. Umut Avci, 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`	A Fully Unsupervised Approach to Activity Discovery. HBU Umut Avci, 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	—	`ch.`	Kernel Methods for Structured Data. Handbook on Neural Information Processing Andrea Passerini
2013	A	`conf`	Navigating the topical structure of academic search results via the Wikipedia category network. CIKM Daniil Mirylenka, Andrea Passerini
2013	—	`conf`	ScienScan - An Efficient Visualization and Browsing Tool for Academic Search. ECML/PKDD (3) Daniil Mirylenka, Andrea Passerini
2013	J	`jnl`	Type Extension Trees for feature construction and learning in relational domains. Artif. Intell. Manfred Jaeger, Marco Lippi, Andrea Passerini, Paolo Frasconi
2012	—	`conf`	Improving activity recognition by segmental pattern mining. PerCom Workshops Umut Avci, Andrea Passerini
2012	—	`conf`	Metal Binding in Proteins: Machine Learning Complements X-Ray Absorption Spectroscopy. ECML/PKDD (2) Marco Lippi, Andrea Passerini, Marco Punta, Paolo Frasconi
2012	J	`jnl`	Predicting Metal-Binding Sites from Protein Sequence. IEEE ACM Trans. Comput. Biol. Bioinform. Andrea Passerini, Marco Lippi, Paolo Frasconi
2012	—	`conf`	Predicting virus mutations through relational learning. AIMM Elisa Cilia, Stefano Teso, Sergio Ammendola, Tom Lenaerts, Andrea Passerini
2012	—	`conf`	Using Machine Learning and Information Retrieval Techniques to Improve Software Maintainability. EternalS@ECAI Anna Corazza, Sergio Di Martino, Valerio Maggio, Alessandro Moschitti, Andrea Passerini, Giuseppe Scanniello, Fabrizio Silvestri
2011	—	`conf`	Active Learning of Combinatorial Features for Interactive Optimization. LION Paolo Campigotto, Andrea Passerini, Roberto Battiti
2011	J	`jnl`	MetalDetector v2.0: predicting the geometry of metal binding sites from protein sequence. Nucleic Acids Res. Andrea Passerini, Marco Lippi, Paolo Frasconi
2011	J	`jnl`	Relational Feature Mining with Hierarchical Multitask kFOIL. Fundam. Informaticae Elisa Cilia, Niels Landwehr, Andrea Passerini
2011	J	`jnl`	Relational information gain. Mach. Learn. Marco Lippi, Manfred Jaeger, Paolo Frasconi, Andrea Passerini
2010	—	`conf`	Adapting to a Realistic Decision Maker: Experiments towards a Reactive Multi-objective Optimizer. LION Paolo Campigotto, 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	J	`jnl`	Automatic prediction of catalytic residues by modeling residue structural neighborhood. BMC Bioinform. Elisa Cilia, Andrea Passerini
2010	J	`jnl`	Brain-Computer Evolutionary Multiobjective Optimization: A Genetic Algorithm Adapting to the Decision Maker. IEEE Trans. Evol. Comput. Roberto Battiti, Andrea Passerini
2010	J	`jnl`	Fast learning of relational kernels. Mach. Learn. Niels Landwehr, Andrea Passerini, Luc De Raedt, Paolo Frasconi
2010	—	`conf`	From On-Going to Complete Activity Recognition Exploiting Related Activities. HBU Carlo Nicolini, Bruno Lepri, Stefano Teso, Andrea Passerini
2010	A*	`conf`	Predicting Structural and Functional Sites in Proteins by Searching for Maximum-weight Cliques. AAAI Franco Mascia, Elisa Cilia, Mauro Brunato, Andrea Passerini
2008	J	`jnl`	A semiparametric generative model for efficient structured-output supervised learning. Ann. Math. Artif. Intell. Fabrizio Costa, Andrea Passerini, Marco Lippi, Paolo Frasconi
2008	J	`jnl`	A simplified approach to disulfide connectivity prediction from protein sequences. BMC Bioinform. Marc Vincent, Andrea Passerini, Matthieu Labbé, Paolo Frasconi
2008	B	`conf`	Feature Discovery with Type Extension Trees. ILP Paolo Frasconi, Manfred Jaeger, Andrea Passerini
2008	—	`ch.`	Learning with Kernels and Logical Representations. Probabilistic Inductive Logic Programming Paolo Frasconi, Andrea Passerini
2008	J	`jnl`	MetalDetector: a web server for predicting metal-binding sites and disulfide bridges in proteins from sequence. Bioinform. Marco Lippi, Andrea Passerini, Marco Punta, Burkhard Rost, Paolo Frasconi
2008	—	`conf`	On the Convergence of Protein Structure and Dynamics. Statistical Learning Studies of Pseudo Folding Pathways. EvoBIO Alessandro Vullo, Andrea Passerini, Paolo Frasconi, Fabrizio Costa, Gianluca Pollastri
2008	—	`conf`	Predicting the Geometry of Metal Binding Sites from Protein Sequence. NIPS Paolo Frasconi, Andrea Passerini
2007	J	`jnl`	Automatic Classification of Provisions in Legislative Texts. Artif. Intell. Law Enrico Francesconi, Andrea Passerini
2007	J	`jnl`	Predicting zinc binding at the proteome level. BMC Bioinform. Andrea Passerini, Claudia Andreini, Sauro Menchetti, Antonio Rosato, Paolo Frasconi
2006	J	`jnl`	DISULFIND: a disulfide bonding state and cysteine connectivity prediction server. Nucleic Acids Res. Alessio Ceroni, Andrea Passerini, Alessandro Vullo, Paolo Frasconi
2006	—	`conf`	Decomposition Kernels for Natural Language Processing. Learning Structured Information@EACL Fabrizio Costa, Sauro Menchetti, Alessio Ceroni, Andrea Passerini, Paolo Frasconi
2006	B	`conf`	Improving Prediction of Zinc Binding Sites by Modeling the Linkage Between Residues Close in Sequence. RECOMB Sauro Menchetti, Andrea Passerini, Paolo Frasconi, Claudia Andreini, Antonio Rosato
2006	J	`jnl`	Kernels on Prolog Proof Trees: Statistical Learning in the ILP Setting. J. Mach. Learn. Res. Andrea Passerini, Paolo Frasconi, Luc De Raedt
2006	A*	`conf`	kFOIL: Learning Simple Relational Kernels. AAAI Niels Landwehr, Andrea Passerini, Luc De Raedt, Paolo Frasconi
2005	C	`conf`	Automatic semantics extraction in law documents. ICAIL Carlo Biagioli, Enrico Francesconi, Andrea Passerini, Simonetta Montemagni, Claudia Soria
2005	A*	`conf`	Kernels on Prolog Ground Terms. IJCAI Andrea Passerini, Paolo Frasconi
2005	—	`conf`	Kernels on Prolog Proof Trees: Statistical Learning in the ILP Setting. AAIP Andrea Passerini, Paolo Frasconi, Luc De Raedt
2005	—	`conf`	Kernels on Prolog Proof Trees: Statistical Learning in the ILP Setting. Probabilistic, Logical and Relational Learning Andrea Passerini, Paolo Frasconi, Luc De Raedt
2004	—	`—`	Kernel methods, multiclass classification and applications to computational molecular biology. Andrea Passerini
2004	J	`jnl`	New results on error correcting output codes of kernel machines. IEEE Trans. Neural Networks Andrea Passerini, Massimiliano Pontil, Paolo Frasconi
2003	—	`conf`	A Combination of Support Vector Machines and Bidirectional Recurrent Neural Networks for Protein Secondary Structure Prediction. AI*IA Alessio Ceroni, Paolo Frasconi, Andrea Passerini, Alessandro Vullo
2003	J	`jnl`	Predicting the Disulfide Bonding State of Cysteines with Combinations of Kernel Machines. J. VLSI Signal Process. Alessio Ceroni, Paolo Frasconi, Andrea Passerini, Alessandro Vullo
2002	—	`conf`	A two-stage SVM architecture for predicting the disulfide bonding state of cysteines. NNSP Paolo Frasconi, Andrea Passerini, Alessandro Vullo
2002	A	`conf`	From Margins to Probabilities in Multiclass Learning Problems. ECAI Andrea Passerini, Massimiliano Pontil, Paolo Frasconi
2001	—	`conf`	Evaluation Methods for Focused Crawling. AI*IA Andrea Passerini, Paolo Frasconi, Giovanni Soda