• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 76 matches

• 2024
• 
  Giansalvo Cirrincione, Vincenzo Randazzo, Pietro Barbiero, Gabriele Ciravegna, Eros Pasero:
  Gradient-Based Competitive Learning: Theory. Cogn. Comput. 16(2): 608-623 (2024)
• 
  Gabriele Ciravegna, Mateo Espinosa Zarlenga, Pietro Barbiero, Francesco Giannini, Zohreh Shams, Damien Garreau, Mateja Jamnik, Tania Cerquitelli:
  Workshop on Human-Interpretable AI. KDD 2024: 6708-6709
• 
  Edoardo Maria Polo, Andrea Farabbi, Maja Milekic, Giulio Steyde, Maria Gabriella Signorini, Patrícia Figueiredo, Luca T. Mainardi, Riccardo Barbieri:
  Subject-Specific Feature Identification of Arousal and Valence Based on EEG. MeMeA 2024: 1-6
• 
  Gabriele Dominici, Pietro Barbiero, Francesco Giannini, Martin Gjoreski, Marc Langheinrich:
  AnyCBMs: How to Turn Any Black Box into a Concept Bottleneck Model. xAI (Late-breaking Work, Demos, Doctoral Consortium) 2024: 81-88
• 
  Gabriele Dominici, Pietro Barbiero, Francesco Giannini, Martin Gjoreski, Giuseppe Marra, Marc Langheinrich:
  Climbing the Ladder of Interpretability with Counterfactual Concept Bottleneck Models. CoRR abs/2402.01408 (2024)
• 
  Dario Fenoglio, Gabriele Dominici, Pietro Barbiero, Alberto Tonda, Martin Gjoreski, Marc Langheinrich:
  Federated Behavioural Planes: Explaining the Evolution of Client Behaviour in Federated Learning. CoRR abs/2405.15632 (2024)
• 
  Gabriele Dominici, Pietro Barbiero, Mateo Espinosa Zarlenga, Alberto Termine, Martin Gjoreski, Giuseppe Marra, Marc Langheinrich:
  Causal Concept Embedding Models: Beyond Causal Opacity in Deep Learning. CoRR abs/2405.16507 (2024)
• 
  Gabriele Dominici, Pietro Barbiero, Francesco Giannini, Martin Gjoreski, Marc Langheinrich:
  AnyCBMs: How to Turn Any Black Box into a Concept Bottleneck Model. CoRR abs/2405.16508 (2024)
• 
  Francesco De Santis, Philippe Bich, Gabriele Ciravegna, Pietro Barbiero, Danilo Giordano, Tania Cerquitelli:
  Self-supervised Interpretable Concept-based Models for Text Classification. CoRR abs/2406.14335 (2024)
• 
  David Debot, Pietro Barbiero, Francesco Giannini, Gabriele Ciravegna, Michelangelo Diligenti, Giuseppe Marra:
  Interpretable Concept-Based Memory Reasoning. CoRR abs/2407.15527 (2024)
• 2023
• 
  Gabriele Ciravegna, Pietro Barbiero, Francesco Giannini, Marco Gori, Pietro Liò, Marco Maggini, Stefano Melacci:
  Logic Explained Networks. Artif. Intell. 314: 103822 (2023)
• 
  Bernardo Camajori Tedeschini, Mattia Brambilla, Luca Barbieri, Gabriele Balducci, Monica Nicoli:
  Cooperative Lidar Sensing for Pedestrian Detection: Data Association Based on Message Passing Neural Networks. IEEE Trans. Signal Process. 71: 3028-3042 (2023)
• 
  Pietro Barbiero, Gabriele Ciravegna, Francesco Giannini, Mateo Espinosa Zarlenga, Lucie Charlotte Magister, Alberto Tonda, Pietro Lio, Frédéric Precioso, Mateja Jamnik, Giuseppe Marra:
  Interpretable Neural-Symbolic Concept Reasoning. ICML 2023: 1801-1825
• 
  Pietro Barbiero, Gabriele Ciravegna, Francesco Giannini, Mateo Espinosa Zarlenga, Lucie Charlotte Magister, Alberto Tonda, Pietro Liò, Frédéric Precioso, Mateja Jamnik, Giuseppe Marra:
  Interpretable Neural-Symbolic Concept Reasoning. NeSy 2023: 422-423
• 
  Gabriele Ciravegna, Pietro Barbiero, Francesco Giannini, Marco Gori, Pietro Liò, Marco Maggini, Stefano Melacci:
  Logic Explained Networks. NeSy 2023: 432-433
• 
  Lucie Charlotte Magister, Pietro Barbiero, Dmitry Kazhdan, Federico Siciliano, Gabriele Ciravegna, Fabrizio Silvestri, Mateja Jamnik, Pietro Liò:
  Concept Distillation in Graph Neural Networks. xAI (3) 2023: 233-255
• 
  Gabriele Ciravegna, Francesco Giannini, Pietro Barbiero, Marco Gori, Pietro Lio, Marco Maggini, Stefano Melacci:
  Learning Logic Explanations by Neural Networks. Compendium of Neurosymbolic Artificial Intelligence 2023: 547-558
• 
  Pietro Barbiero, Gabriele Ciravegna, Francesco Giannini, Mateo Espinosa Zarlenga, Lucie Charlotte Magister, Alberto Tonda, Pietro Lio', Frédéric Precioso, Mateja Jamnik, Giuseppe Marra:
  Interpretable Neural-Symbolic Concept Reasoning. CoRR abs/2304.14068 (2023)
• 
  Gabriele Dominici, Pietro Barbiero, Lucie Charlotte Magister, Pietro Liò, Nikola Simidjievski:
  SHARCS: Shared Concept Space for Explainable Multimodal Learning. CoRR abs/2307.00316 (2023)
• 
  Pietro Barbiero, Francesco Giannini, Gabriele Ciravegna, Michelangelo Diligenti, Giuseppe Marra:
  Relational Concept Based Models. CoRR abs/2308.11991 (2023)
• 2022
• 
  Daniele Toti, Gabriele Macari, Enrico Barbierato, Fabio Polticelli:
  FGDB: a comprehensive graph database of ligand fragments from the Protein Data Bank. Database J. Biol. Databases Curation 2022(2022) (2022)
• 
  Marta Lovino, Vincenzo Randazzo, Gabriele Ciravegna, Pietro Barbiero, Elisa Ficarra, Giansalvo Cirrincione:
  A survey on data integration for multi-omics sample clustering. Neurocomputing 488: 494-508 (2022)
• 
  Gabriel Menezes, Bruno B. P. Cafeo, André C. Hora:
  How are framework code samples maintained and used by developers? The case of Android and Spring Boot. J. Syst. Softw. 185: 111146 (2022)
• 
  Pietro Barbiero, Gabriele Ciravegna, Francesco Giannini, Pietro Lió, Marco Gori, Stefano Melacci:
  Entropy-Based Logic Explanations of Neural Networks. AAAI 2022: 6046-6054
• 
  Daniel Loureiro, Aminette D'Souza, Areej Nasser Muhajab, Isabella A. White, Gabriel Wong, Luis Espinosa Anke, Leonardo Neves, Francesco Barbieri, José Camacho-Collados:
  TempoWiC: An Evaluation Benchmark for Detecting Meaning Shift in Social Media. COLING 2022: 3353-3359
• 
  Rishabh Jain, Gabriele Ciravegna, Pietro Barbiero, Francesco Giannini, Davide Buffelli, Pietro Liò:
  Extending Logic Explained Networks to Text Classification. EMNLP 2022: 8838-8857
• 
  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:
  Concept Embedding Models: Beyond the Accuracy-Explainability Trade-Off. NeurIPS 2022
• 
  Gabriel Menezes, Willian Marotzki Braga, Awdren de Lima Fontão, André C. Hora, Bruno B. P. Cafeo:
  Assessing the Impact of Code Samples Evolution on Developers' Questions. SBES 2022: 321-330
• 
  Matheus Melo, Gabriel Menezes, Bruno B. P. Cafeo:
  Exploring Pull Requests in Code Samples. VEM 2022: 36-40
• 
  Lucie Charlotte Magister, Pietro Barbiero, Dmitry Kazhdan, Federico Siciliano, Gabriele Ciravegna, Fabrizio Silvestri, Pietro Liò, Mateja Jamnik:
  Encoding Concepts in Graph Neural Networks. CoRR abs/2207.13586 (2022)

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