Pietro Barbiero

102 papers A* 17B 3C 2Journal 55Unranked 17

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Actionable Interpretability Must Be Defined in Terms of Symmetries. CoRR Pietro Barbiero, Mateo Espinosa Zarlenga, Francesco Giannini, Alberto Termine, Filippo Bonchi, Mateja Jamnik, Giuseppe Marra
2026	J	`jnl`	Federated Concept-Based Models: Interpretable models with distributed supervision. CoRR Dario Fenoglio, Arianna Casanova, Francesco De Santis, Mohan Li, Gabriele Dominici, Johannes Schneider, Martin Gjoreski, Marc Langheinrich, Pietro Barbiero, Giovanni de Felice
2026	J	`jnl`	Interpretability in Deep Time Series Models Demands Semantic Alignment. CoRR Giovanni de Felice, Riccardo D'Elia, Alberto Termine, Pietro Barbiero, Giuseppe Marra, Silvia Santini
2026	J	`jnl`	Mixture of Concept Bottleneck Experts. CoRR Francesco De Santis, Gabriele Ciravegna, Giovanni de Felice, Arianna Casanova, Francesco Giannini, Michelangelo Diligenti, Mateo Espinosa Zarlenga, Pietro Barbiero, Johannes Schneider, Danilo Giordano
2025	J	`jnl`	A Review of Methods for Unobtrusive Measurement of Work-Related Well-Being. Mach. Learn. Knowl. Extr. Zoja Anzur, Klara Zinkovic, Junos Lukan, Pietro Barbiero, Gasper Slapnicar, Mohan Li, Martin Gjoreski, Maike E. Debus, Sebastijan Trojer, Mitja Lustrek, Marc Langheinrich
2025	J	`jnl`	A Survey on Federated Learning in Human Sensing. CoRR Mohan Li, Martin Gjoreski, Pietro Barbiero, Gasper Slapnicar, Mitja Lustrek, Nicholas D. Lane, Marc Langheinrich
2025	A*	`conf`	Avoiding Leakage Poisoning: Concept Interventions Under Distribution Shifts. ICML Mateo Espinosa Zarlenga, Gabriele Dominici, Pietro Barbiero, Zohreh Shams, Mateja Jamnik
2025	J	`jnl`	Avoiding Leakage Poisoning: Concept Interventions Under Distribution Shifts. CoRR Mateo Espinosa Zarlenga, Gabriele Dominici, Pietro Barbiero, Zohreh Shams, Mateja Jamnik
2025	A*	`conf`	Categorical Explaining Functors: Ensuring Coherence in Logical Explanations. KR Stefano Fioravanti, Francesco Giannini, Pietro Barbiero, Paolo Frazzetto, Roberto Confalonieri, Fabio Zanasi, Nicolò Navarin
2025	A*	`conf`	Causal Concept Graph Models: Beyond Causal Opacity in Deep Learning. ICLR Gabriele Dominici, Pietro Barbiero, Mateo Espinosa Zarlenga, Alberto Termine, Martin Gjoreski, Giuseppe Marra, Marc Langheinrich
2025	J	`jnl`	Causally Reliable Concept Bottleneck Models. CoRR Giovanni de Felice, Arianna Casanova Flores, Francesco De Santis, Silvia Santini, Johannes Schneider, Pietro Barbiero, Alberto Termine
2025	A*	`conf`	Counterfactual Concept Bottleneck Models. ICLR Gabriele Dominici, Pietro Barbiero, Francesco Giannini, Martin Gjoreski, Giuseppe Marra, Marc Langheinrich
2025	J	`jnl`	Deferring Concept Bottleneck Models: Learning to Defer Interventions to Inaccurate Experts. CoRR Andrea Pugnana, Riccardo Massidda, Francesco Giannini, Pietro Barbiero, Mateo Espinosa Zarlenga, Roberto Pellungrini, Gabriele Dominici, Fosca Giannotti, Davide Bacciu
2025	J	`jnl`	FLUX: Efficient Descriptor-Driven Clustered Federated Learning under Arbitrary Distribution Shifts. CoRR Dario Fenoglio, Mohan Li, Pietro Barbiero, Nicholas D. Lane, Marc Langheinrich, Martin Gjoreski
2025	J	`jnl`	Foundations of Interpretable Models. CoRR Pietro Barbiero, Mateo Espinosa Zarlenga, Alberto Termine, Mateja Jamnik, Giuseppe Marra
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`	Interpretable Hierarchical Concept Reasoning through Attention-Guided Graph Learning. CoRR David Debot, Pietro Barbiero, Gabriele Dominici, Giuseppe Marra
2025	—	`conf`	Interpretable Link Prediction via Neural-Symbolic Reasoning. xAI (2) Rodrigo Castellano Ontiveros, Ehsan Bonabi Mobaraki, Francesco Giannini, Pietro Barbiero, Marco Gori, Michelangelo Diligenti
2025	J	`jnl`	Linearly-interpretable concept embedding models for text analysis. Mach. Learn. Francesco De Santis, Philippe Bich, Gabriele Ciravegna, Pietro Barbiero, Danilo Giordano, Tania Cerquitelli
2025	J	`jnl`	Logic Explanation of AI Classifiers by Categorical Explaining Functors. CoRR Stefano Fioravanti, Francesco Giannini, Paolo Frazzetto, Fabio Zanasi, Pietro Barbiero
2025	J	`jnl`	Neural Interpretable Reasoning. CoRR Pietro Barbiero, Giuseppe Marra, Gabriele Ciravegna, David Debot, Francesco De Santis, Michelangelo Diligenti, Mateo Espinosa Zarlenga, Francesco Giannini
2025	J	`jnl`	Scalable Evaluation and Neural Models for Compositional Generalization. CoRR Giacomo Camposampiero, Pietro Barbiero, Michael Hersche, Roger Wattenhofer, Abbas Rahimi
2025	—	`conf`	Towards Better Generalization and Interpretability in Unsupervised Concept-Based Models. ECML/PKDD (3) Francesco De Santis, Philippe Bich, Gabriele Ciravegna, Pietro Barbiero, Tania Cerquitelli, Danilo Giordano
2025	J	`jnl`	Towards Better Generalization and Interpretability in Unsupervised Concept-Based Models. CoRR Francesco De Santis, Philippe Bich, Gabriele Ciravegna, Pietro Barbiero, Danilo Giordano, Tania Cerquitelli
2025	J	`jnl`	Using AI explainable models and handwriting/drawing tasks for psychological well-being. Inf. Syst. Francesco Prinzi, Pietro Barbiero, Claudia Greco, Terry Amorese, Gennaro Cordasco, Pietro Liò, Salvatore Vitabile, Anna Esposito
2024	—	`conf`	AnyCBMs: How to Turn Any Black Box into a Concept Bottleneck Model. xAI (Late-breaking Work, Demos, Doctoral Consortium) Gabriele Dominici, Pietro Barbiero, Francesco Giannini, Martin Gjoreski, Marc Langheinrich
2024	J	`jnl`	AnyCBMs: How to Turn Any Black Box into a Concept Bottleneck Model. CoRR Gabriele Dominici, Pietro Barbiero, Francesco Giannini, Martin Gjoreski, Marc Langheinrich
2024	—	`conf`	Categorical Foundation of Explainable AI: A Unifying Theory. xAI (3) Francesco Giannini, Stefano Fioravanti, Pietro Barbiero, Alberto Tonda, Pietro Liò, Elena Di Lavore
2024	J	`jnl`	Causal Concept Embedding Models: Beyond Causal Opacity in Deep Learning. CoRR Gabriele Dominici, Pietro Barbiero, Mateo Espinosa Zarlenga, Alberto Termine, Martin Gjoreski, Giuseppe Marra, Marc Langheinrich
2024	J	`jnl`	Climbing the Ladder of Interpretability with Counterfactual Concept Bottleneck Models. CoRR Gabriele Dominici, Pietro Barbiero, Francesco Giannini, Martin Gjoreski, Giuseppe Marra, Marc Langheinrich
2024	J	`jnl`	Counterfactual Explanations for Clustering Models. CoRR Aurora Spagnol, Kacper Sokol, Pietro Barbiero, Marc Langheinrich, Martin Gjoreski
2024	A*	`conf`	Federated Behavioural Planes: Explaining the Evolution of Client Behaviour in Federated Learning. NeurIPS Dario Fenoglio, Gabriele Dominici, Pietro Barbiero, Alberto Tonda, Martin Gjoreski, Marc Langheinrich
2024	J	`jnl`	Federated Behavioural Planes: Explaining the Evolution of Client Behaviour in Federated Learning. CoRR Dario Fenoglio, Gabriele Dominici, Pietro Barbiero, Alberto Tonda, Martin Gjoreski, Marc Langheinrich
2024	—	`conf`	Generative Models for Counterfactual Explanations. HI-AI@KDD Daniil E. Kirilenko, Pietro Barbiero, Martin Gjoreski, Mitja Lustrek, Marc Langheinrich
2024	J	`jnl`	Gradient-Based Competitive Learning: Theory. Cogn. Comput. Giansalvo Cirrincione, Vincenzo Randazzo, Pietro Barbiero, Gabriele Ciravegna, Eros Pasero
2024	A*	`conf`	Interpretable Concept-Based Memory Reasoning. NeurIPS David Debot, Pietro Barbiero, Francesco Giannini, Gabriele Ciravegna, Michelangelo Diligenti, Giuseppe Marra
2024	J	`jnl`	Interpretable Concept-Based Memory Reasoning. CoRR David Debot, Pietro Barbiero, Francesco Giannini, Gabriele Ciravegna, Michelangelo Diligenti, Giuseppe Marra
2024	—	`ed.`	Proceedings of the KDD Workshop on Human-Interpretable AI 2024 co-located with 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2024), Centre de Convencions Internacional de Barcelona, Spain, August 26, 2024. HI-AI@KDD Gabriele Ciravegna, Mateo Espinosa Zarlenga, Pietro Barbiero, Zohreh Shams, Francesco Giannini, Damien Garreau, Mateja Jamnik, Tania Cerquitelli
2024	A*	`conf`	Relational Concept Bottleneck Models. NeurIPS Pietro Barbiero, Francesco Giannini, Gabriele Ciravegna, Michelangelo Diligenti, Giuseppe Marra
2024	J	`jnl`	Self-supervised Interpretable Concept-based Models for Text Classification. CoRR Francesco De Santis, Philippe Bich, Gabriele Ciravegna, Pietro Barbiero, Danilo Giordano, Tania Cerquitelli
2024	A*	`conf`	Workshop on Human-Interpretable AI. KDD Gabriele Ciravegna, Mateo Espinosa Zarlenga, Pietro Barbiero, Francesco Giannini, Zohreh Shams, Damien Garreau, Mateja Jamnik, Tania Cerquitelli
2023	—	`conf`	Bridging Equational Properties and Patterns on Graphs: an AI-Based Approach. TAG-ML Oguzhan Keskin, Alisia Maria Lupidi, Stefano Fioravanti, Lucie Charlotte Magister, Pietro Barbiero, Pietro Lio, Francesco Giannini
2023	J	`jnl`	Categorical Foundations of Explainable AI: A Unifying Formalism of Structures and Semantics. CoRR Pietro Barbiero, Stefano Fioravanti, Francesco Giannini, Alberto Tonda, Pietro Liò, Elena Di Lavore
2023	—	`conf`	Concept Distillation in Graph Neural Networks. xAI (3) Lucie Charlotte Magister, Pietro Barbiero, Dmitry Kazhdan, Federico Siciliano, Gabriele Ciravegna, Fabrizio Silvestri, Mateja Jamnik, Pietro Liò
2023	J	`jnl`	Digital Histopathology with Graph Neural Networks: Concepts and Explanations for Clinicians. CoRR Alessandro Farace di Villaforesta, Lucie Charlotte Magister, Pietro Barbiero, Pietro Liò
2023	—	`conf`	Enhancing XGBoost with Heuristic Smoothing for Transportation Mode and Activity Recognition. UbiComp/ISWC Adjunct Lidia Alecci, Leonardo Alchieri, Nouran Abdalazim, Pietro Barbiero, Silvia Santini, Martin Gjoreski
2023	J	`jnl`	Everybody Needs a Little HELP: Explaining Graphs via Hierarchical Concepts. CoRR Jonas Jürß, Lucie Charlotte Magister, Pietro Barbiero, Pietro Liò, Nikola Simidjievski
2023	—	`conf`	Explainable Depression Detection Using Handwriting Features. WIRN Francesco Prinzi, Gennaro Raimo, Pietro Barbiero, Gennaro Cordasco, Pietro Liò, Salvatore Vitabile, Anna Esposito
2023	J	`jnl`	From Charts to Atlas: Merging Latent Spaces into One. CoRR Donato Crisostomi, Irene Cannistraci, Luca Moschella, Pietro Barbiero, Marco Ciccone, Pietro Liò, Emanuele Rodolà
2023	—	`conf`	From charts to atlas: Merging latent spaces into one. NeurReps Donato Crisostomi, Irene Cannistraci, Luca Moschella, Pietro Barbiero, Marco Ciccone, Pietro Liò, Emanuele Rodolà
2023	J	`jnl`	GCI: A (G)raph (C)oncept (I)nterpretation Framework. CoRR Dmitry Kazhdan, Botty Dimanov, Lucie Charlotte Magister, Pietro Barbiero, Mateja Jamnik, Pietro Liò
2023	A*	`conf`	Global Concept-Based Interpretability for Graph Neural Networks via Neuron Analysis. AAAI Han Xuanyuan, Pietro Barbiero, Dobrik Georgiev, Lucie Charlotte Magister, Pietro Liò
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	A*	`conf`	Interpretable Graph Networks Formulate Universal Algebra Conjectures. NeurIPS Francesco Giannini, Stefano Fioravanti, Oguzhan Keskin, Alisia Maria Lupidi, Lucie Charlotte Magister, Pietro Lió, Pietro Barbiero
2023	J	`jnl`	Interpretable Graph Networks Formulate Universal Algebra Conjectures. CoRR Francesco Giannini, Stefano Fioravanti, Oguzhan Keskin, Alisia Maria Lupidi, Lucie Charlotte Magister, Pietro Lio, Pietro Barbiero
2023	A*	`conf`	Interpretable Neural-Symbolic Concept Reasoning. ICML Pietro Barbiero, Gabriele Ciravegna, Francesco Giannini, Mateo Espinosa Zarlenga, Lucie Charlotte Magister, Alberto Tonda, Pietro Lio, Frédéric Precioso, Mateja Jamnik, Giuseppe Marra
2023	C	`conf`	Interpretable Neural-Symbolic Concept Reasoning. NeSy Pietro Barbiero, Gabriele Ciravegna, Francesco Giannini, Mateo Espinosa Zarlenga, Lucie Charlotte Magister, Alberto Tonda, Pietro Liò, Frédéric Precioso, Mateja Jamnik, Giuseppe Marra
2023	J	`jnl`	Interpretable Neural-Symbolic Concept Reasoning. CoRR Pietro Barbiero, Gabriele Ciravegna, Francesco Giannini, Mateo Espinosa Zarlenga, Lucie Charlotte Magister, Alberto Tonda, Pietro Lio', Frédéric Precioso, Mateja Jamnik, Giuseppe Marra
2023	—	`ch.`	Learning Logic Explanations by Neural Networks. Compendium of Neurosymbolic Artificial Intelligence Gabriele Ciravegna, Francesco Giannini, Pietro Barbiero, Marco Gori, Pietro Lio, Marco Maggini, Stefano Melacci
2023	C	`conf`	Logic Explained Networks. NeSy Gabriele Ciravegna, Pietro Barbiero, Francesco Giannini, Marco Gori, Pietro Liò, Marco Maggini, Stefano Melacci
2023	J	`jnl`	Logic Explained Networks. Artif. Intell. Gabriele Ciravegna, Pietro Barbiero, Francesco Giannini, Marco Gori, Pietro Liò, Marco Maggini, Stefano Melacci
2023	J	`jnl`	Relational Concept Based Models. CoRR Pietro Barbiero, Francesco Giannini, Gabriele Ciravegna, Michelangelo Diligenti, Giuseppe Marra
2023	J	`jnl`	SHARCS: Shared Concept Space for Explainable Multimodal Learning. CoRR Gabriele Dominici, Pietro Barbiero, Lucie Charlotte Magister, Pietro Liò, Nikola Simidjievski
2023	A*	`conf`	Towards Robust Metrics for Concept Representation Evaluation. AAAI Mateo Espinosa Zarlenga, Pietro Barbiero, Zohreh Shams, Dmitry Kazhdan, Umang Bhatt, Adrian Weller, Mateja Jamnik
2023	J	`jnl`	Towards Robust Metrics for Concept Representation Evaluation. CoRR Mateo Espinosa Zarlenga, Pietro Barbiero, Zohreh Shams, Dmitry Kazhdan, Umang Bhatt, Adrian Weller, Mateja Jamnik
2022	J	`jnl`	A survey on data integration for multi-omics sample clustering. Neurocomputing Marta Lovino, Vincenzo Randazzo, Gabriele Ciravegna, Pietro Barbiero, Elisa Ficarra, Giansalvo Cirrincione
2022	A*	`conf`	Algorithmic Concept-Based Explainable Reasoning. AAAI Dobrik Georgiev, Pietro Barbiero, Dmitry Kazhdan, Petar Velickovic, Pietro Lió
2022	J	`jnl`	Concept Embedding Models. CoRR Mateo Espinosa Zarlenga, Pietro Barbiero, Gabriele Ciravegna, Giuseppe Marra, Francesco Giannini, Michelangelo Diligenti, Zohreh Shams, Frédéric Precioso, Stefano Melacci, Adrian Weller, Pietro Liò, Mateja Jamnik
2022	A*	`conf`	Concept Embedding Models: Beyond the Accuracy-Explainability Trade-Off. NeurIPS Mateo Espinosa Zarlenga, Pietro Barbiero, Gabriele Ciravegna, Giuseppe Marra, Francesco Giannini, Michelangelo Diligenti, Zohreh Shams, Frédéric Precioso, Stefano Melacci, Adrian Weller, Pietro Lió, Mateja Jamnik
2022	J	`jnl`	Encoding Concepts in Graph Neural Networks. CoRR Lucie Charlotte Magister, Pietro Barbiero, Dmitry Kazhdan, Federico Siciliano, Gabriele Ciravegna, Fabrizio Silvestri, Pietro Liò, Mateja Jamnik
2022	A*	`conf`	Entropy-Based Logic Explanations of Neural Networks. AAAI Pietro Barbiero, Gabriele Ciravegna, Francesco Giannini, Pietro Lió, Marco Gori, Stefano Melacci
2022	A*	`conf`	Extending Logic Explained Networks to Text Classification. EMNLP Rishabh Jain, Gabriele Ciravegna, Pietro Barbiero, Francesco Giannini, Davide Buffelli, Pietro Liò
2022	J	`jnl`	Extending Logic Explained Networks to Text Classification. CoRR Rishabh Jain, Gabriele Ciravegna, Pietro Barbiero, Francesco Giannini, Davide Buffelli, Pietro Liò
2022	J	`jnl`	Global Concept-Based Interpretability for Graph Neural Networks via Neuron Analysis. CoRR Han Xuanyuan, Pietro Barbiero, Dobrik Georgiev, Lucie Charlotte Magister, Pietro Lió
2022	J	`jnl`	Global Explainability of GNNs via Logic Combination of Learned Concepts. CoRR Steve Azzolin, Antonio Longa, Pietro Barbiero, Pietro Liò, Andrea Passerini
2021	J	`jnl`	Algorithmic Concept-based Explainable Reasoning. CoRR Dobrik Georgiev, Pietro Barbiero, Dmitry Kazhdan, Petar Velickovic, Pietro Liò
2021	J	`jnl`	Entropy-based Logic Explanations of Neural Networks. CoRR Pietro Barbiero, Gabriele Ciravegna, Francesco Giannini, Pietro Lió, Marco Gori, Stefano Melacci
2021	J	`jnl`	LENs: a Python library for Logic Explained Networks. CoRR Pietro Barbiero, Gabriele Ciravegna, Dobrik Georgiev, Francesco Giannini
2021	J	`jnl`	Logic Explained Networks. CoRR Gabriele Ciravegna, Pietro Barbiero, Francesco Giannini, Marco Gori, Pietro Lió, Marco Maggini, Stefano Melacci
2021	—	`conf`	Predictable Features Elimination: An Unsupervised Approach to Feature Selection. LOD Pietro Barbiero, Giovanni Squillero, Alberto Tonda
2021	B	`conf`	Topological Gradient-based Competitive Learning. IJCNN Pietro Barbiero, Gabriele Ciravegna, Vincenzo Randazzo, Eros Pasero, Giansalvo Cirrincione
2020	—	`ch.`	Assessing Discriminating Capability of Geometrical Descriptors for 3D Face Recognition by Using the GH-EXIN Neural Network. Neural Approaches to Dynamics of Signal Exchanges Gabriele Ciravegna, Giansalvo Cirrincione, Federica Marcolin, Pietro Barbiero, Nicole Dagnes, Elio Piccolo
2020	—	`ch.`	DNA Microarray Classification: Evolutionary Optimization of Neural Network Hyper-parameters. Neural Approaches to Dynamics of Signal Exchanges Pietro Barbiero, Andrea Bertotti, Gabriele Ciravegna, Giansalvo Cirrincione, Elio Piccolo
2020	J	`jnl`	Gradient-based Competitive Learning: Theory. CoRR Giansalvo Cirrincione, Pietro Barbiero, Gabriele Ciravegna, Vincenzo Randazzo
2020	J	`jnl`	Graph representation forecasting of patient's medical conditions: towards a digital twin. CoRR Pietro Barbiero, Ramón Viñas Torné, Pietro Lió
2020	J	`jnl`	Modeling Generalization in Machine Learning: A Methodological and Computational Study. CoRR Pietro Barbiero, Giovanni Squillero, Alberto Paolo Tonda
2020	—	`ch.`	Neural Epistemology in Dynamical System Learning. Neural Approaches to Dynamics of Signal Exchanges Pietro Barbiero, Giansalvo Cirrincione, Maurizio Cirrincione, Elio Piccolo, Francesco Vaccarino
2020	J	`jnl`	The Computational Patient has Diabetes and a COVID. CoRR Pietro Barbiero, Pietro Lió
2020	J	`jnl`	The GH-EXIN neural network for hierarchical clustering. Neural Networks Giansalvo Cirrincione, Gabriele Ciravegna, Pietro Barbiero, Vincenzo Randazzo, Eros Pasero
2020	J	`jnl`	Topological Gradient-based Competitive Learning. CoRR Pietro Barbiero, Gabriele Ciravegna, Vincenzo Randazzo, Giansalvo Cirrincione
2020	B	`conf`	Towards Uncovering Feature Extraction From Temporal Signals in Deep CNN: the ECG Case Study. IJCNN Jacopo Ferretti, Pietro Barbiero, Vincenzo Randazzo, Giansalvo Cirrincione, Eros Pasero
2020	J	`jnl`	Uncovering Coresets for Classification With Multi-Objective Evolutionary Algorithms. CoRR Pietro Barbiero, Giovanni Squillero, Alberto Paolo Tonda
2020	—	`ch.`	Understanding Cancer Phenomenon at Gene Expression Level by using a Shallow Neural Network Chain. Neural Approaches to Dynamics of Signal Exchanges Pietro Barbiero, Andrea Bertotti, Gabriele Ciravegna, Giansalvo Cirrincione, Elio Piccolo, Alberto Tonda
2020	—	`conf`	Unsupervised Multi-omic Data Fusion: The Neural Graph Learning Network. ICIC (1) Pietro Barbiero, Marta Lovino, Mattia Siviero, Gabriele Ciravegna, Vincenzo Randazzo, Elisa Ficarra, Giansalvo Cirrincione
2019	—	`conf`	A Novel Outlook on Feature Selection as a Multi-objective Problem. EA Pietro Barbiero, Evelyne Lutton, Giovanni Squillero, Alberto Paolo Tonda
2019	—	`conf`	Beyond coreset discovery: evolutionary archetypes. GECCO (Companion) Pietro Barbiero, Giovanni Squillero, Alberto Paolo Tonda
2019	—	`conf`	Evolutionary discovery of coresets for classification. GECCO (Companion) Pietro Barbiero, Giovanni Squillero, Alberto Paolo Tonda
2019	B	`conf`	Fundamental Flowers: Evolutionary Discovery of Coresets for Classification. EvoApplications Pietro Barbiero, Alberto Paolo Tonda
2019	—	`ch.`	Supervised Gene Identification in Colorectal Cancer. Quantifying and Processing Biomedical and Behavioral Signals Pietro Barbiero, Andrea Bertotti, Gabriele Ciravegna, Giansalvo Cirrincione, Eros Pasero, Elio Piccolo
2019	—	`ch.`	Unsupervised Gene Identification in Colorectal Cancer. Quantifying and Processing Biomedical and Behavioral Signals Pietro Barbiero, Andrea Bertotti, Gabriele Ciravegna, Giansalvo Cirrincione, Eros Pasero, Elio Piccolo
2017	—	`conf`	Discovering Hierarchical Neural Archetype Sets. IIH-MSP (1) Gabriele Ciravegna, Pietro Barbiero, Giansalvo Cirrincione, Giovanni Squillero, Alberto Tonda
2017	—	`conf`	Understanding Abstraction in Deep CNN: An Application on Facial Emotion Recognition. IIH-MSP (1) Francesca Nonis, Pietro Barbiero, Giansalvo Cirrincione, Elena Carlotta Olivetti, Federica Marcolin, Enrico Vezzetti