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CORDIS - Resultados de investigaciones de la UE
CORDIS

It takes two to tango: a synergistic approach to human-machine decision making

CORDIS proporciona enlaces a los documentos públicos y las publicaciones de los proyectos de los programas marco HORIZONTE.

Los enlaces a los documentos y las publicaciones de los proyectos del Séptimo Programa Marco, así como los enlaces a algunos tipos de resultados específicos, como conjuntos de datos y «software», se obtienen dinámicamente de OpenAIRE .

Resultado final

First data management plan (se abrirá en una nueva ventana)

(First) Ethical, Gender, Legal, Security Compliance Framework for the data management lifecycle.

Second data management plan (se abrirá en una nueva ventana)

(Second) Ethical, Gender, Legal, Security Compliance Framework for the data management lifecycle

Cognition-aware explanations for HML (se abrirá en una nueva ventana)

Definition, design and development ofcognitive-aware explanations.

First exploitation strategy (se abrirá en una nueva ventana)

First exploitation strategy and roadmap to market

Cognition-aware explanations for DM (se abrirá en una nueva ventana)

Definition, design and development of theunified explanation-driven HDM process

First communication and dissemination report (se abrirá en una nueva ventana)

Periodic report on C&D activities

Application guidelines (se abrirá en una nueva ventana)

Document with guidelines for theimplementation and coordination of theapplications.

TANGO system specifications (se abrirá en una nueva ventana)

Architectural specifications of the TANGObackend system.

Publicaciones

Towards Logically Consistent Language Models via Probabilistic Reasoning (se abrirá en una nueva ventana)

Autores: Calanzone, Diego; Teso, Stefano; Vergari, Antonio
Publicado en: 2024
Editor: ICLR 2024 Workshop on Reliable and Responsible Foundation Models
DOI: 10.48550/ARXIV.2404.12843

A Simple and Expressive Graph Neural Network Based Method for Structural Link Representation

Autores: Veronica Lachi, Francesco Ferrini, Antonio Longa, Bruno Lepri, Andrea Passerini
Publicado en: Proceedings of the GRaM Workshop at ICML 2024, 2024
Editor: PMLR

Uncertainty Matters: Stable Conclusions Under Unstable Assessment of Fairness Results

Autores: Ainhize Barrainkua, Paula Gordaliza, Jose A Lozano, Novi Quadrianto
Publicado en: Proceedings of the 27th International Conference on Artificial Intelligence and Statistics (AISTATS) 2024, Valencia, Spain. PMLR., 2024
Editor: Proceedings of the 27th International Conference on Artificial Intelligence and Statistics (AISTATS) 2024, Valencia, Spain. PMLR: Volume 238.

Ensemble Counterfactual Explanations forChurn Analysis (se abrirá en una nueva ventana)

Autores: Samuele Tonati, Marzio Di Vece, Roberto Pellungrini, Fosca Giannotti
Publicado en: Lecture Notes in Computer Science, Discovery Science, 2025
Editor: Springer Nature Switzerland
DOI: 10.1007/978-3-031-78980-9_21

Ensemble Counterfactual Explanations for Churn Analysis (se abrirá en una nueva ventana)

Autores: Samuele Tonati, Marzio Di Vece, Roberto Pellungrini, Fosca Giannotti
Publicado en: Lecture Notes in Computer Science, Discovery Science, 2025
Editor: Springer Nature Switzerland
DOI: 10.1007/978-3-031-78980-9_21

Preference Elicitation in Interactive and User-centered Algorithmic Recourse: an Initial Exploration (se abrirá en una nueva ventana)

Autores: Seyedehdelaram Esfahani, Giovanni De Toni, Bruno Lepri, Andrea Passerini, Katya Tentori, Massimo Zancanaro
Publicado en: Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization, 2024
Editor: ACM
DOI: 10.1145/3627043.3659556

PUFFLE: Balancing Privacy, Utility, and Fairness in Federated Learning (se abrirá en una nueva ventana)

Autores: Luca Corbucci, Mikko A. Heikkilä, David Solans Noguero, Anna Monreale, Nicolas Kourtellis
Publicado en: Frontiers in Artificial Intelligence and Applications, ECAI 2024, 2024
Editor: IOS Press
DOI: 10.3233/FAIA240671

Sheaf Diffusion Goes Nonlinear: Enhancing GNNs with Adaptive Sheaf Laplacians

Autores: Olga Zaghen, Antonio Longa, Steve Azzolin, Lev Telyatnikov, Andrea Passerini, Pietro Lio
Publicado en: Proceedings of the GRaM Workshop at ICML 2024, 2024
Editor: PMLR

Unveiling LLMs: The Evolution of Latent Representations in a Dynamic Knowledge Graph

Autores: Marco Bronzini, Carlo Nicolini, Bruno Lepri, Jacopo Staiano, Andrea Passerini
Publicado en: Proceedings of COLM, 2024, 2024
Editor: openreview.net

Reconsidering Faithfulness in Regular, Self-Explainable and Domain Invariant GNNs

Autores: Steve Azzolin, Antonio Longa, Stefano Teso, Andrea Passerini
Publicado en: Proceedings of ICLR, 2025
Editor: OpenReview

BEARS Make Neuro-Symbolic Models Aware of their Reasoning Shortcuts

Autores: Marconato, Emanuele; Bortolotti, Samuele; van Krieken, Emile; Vergari, Antonio; Passerini, Andrea; Teso, Stefano
Publicado en: Proceedings of UAI, 2024
Editor: Proceedings of UAI, 2024

Epistemic Interaction – Tuning Interfaces to Provide Information for AI Support

Autores: Alan Dix, Ben Wilson Matt Roach, Tommaso Turchi, Alessio Malizia
Publicado en: SYNERGY 2024 – Designing and Building Hybrid Human-AI Systems 2024, 2024
Editor: SYNERGY 2024 – Designing and Building Hybrid Human-AI Systems 2024

One-Shot Clustering for Federated Learning (se abrirá en una nueva ventana)

Autores: Maciej Krzysztof Zuziak, Roberto Pellungrini, Salvatore Rinzivillo
Publicado en: 2024 IEEE International Conference on Big Data (BigData), 2025
Editor: IEEE
DOI: 10.48550/arXiv.2503.04231

One-Shot Clustering for Federated Learning (se abrirá en una nueva ventana)

Autores: Maciej Krzysztof Zuziak, Roberto Pellungrini, Salvatore Rinzivillo
Publicado en: 2024 IEEE International Conference on Big Data (BigData), 2025
Editor: IEEE
DOI: 10.1109/BIGDATA62323.2024.10825763

Designing for situated AI-human decision making: Lessons learned from a primary care deployment

Autores: Ben Wilson, Darren Scott, Matt Roach, Emily Nielsen, Berndt Muller
Publicado en: SYNERGY 2024 – Designing and Building Hybrid Human-AI Systems 2024, 2024
Editor: SYNERGY 2024 – Designing and Building Hybrid Human-AI Systems 2024

Interpretable and Fair Mechanisms for Abstaining Classifiers (se abrirá en una nueva ventana)

Autores: Daphne Lenders, Andrea Pugnana, Roberto Pellungrini, Toon Calders, Dino Pedreschi, Fosca Giannotti
Publicado en: Lecture Notes in Computer Science, Machine Learning and Knowledge Discovery in Databases. Research Track, 2024
Editor: Springer Nature Switzerland
DOI: 10.1007/978-3-031-70368-3_25

Enhancing Privacy and Utility in Federated Learning: A Hybrid P2P and Server-Based Approach with Differential Privacy Protection (se abrirá en una nueva ventana)

Autores: Luca Corbucci, Anna Monreale, Roberto Pellungrini
Publicado en: Proceedings of the 21st International Conference on Security and Cryptography, 2024
Editor: SCITEPRESS - Science and Technology Publications
DOI: 10.5220/0012863600003767

Logically Consistent Language Models via Neuro-Symbolic Integration

Autores: Diego Calanzone, Stefano Teso, Antonio Vergari
Publicado en: International Conference on Learning Representations (ICLR), 2025

Disagreement-based Active Learning for Robustness Against Subpopulation Shifts

Autores: Yeat Jeng Ng, Viktoriia Sharmanska, Thomas Kehrenberg, Anastasia Pentina, Novi Quadrianto
Publicado en: Proceedings of the HLDM Workshop at ECML 2024, 2024
Editor: Proceedings of the HLDM Workshop @ ECML 2024

GLOR-FLEX: Local to Global Rule-Based EXplanations for Federated Learning (se abrirá en una nueva ventana)

Autores: Rami Haffar, Francesca Naretto, David Snchez, Anna Monreale, Josep Domingo-Ferrer
Publicado en: 2024 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2024
Editor: IEEE
DOI: 10.1109/FUZZ-IEEE60900.2024.10611878

A Neuro-Symbolic Benchmark Suite for Concept Quality and Reasoning Shortcuts

Autores: Bortolotti, Samuele; Marconato, Emanuele; Carraro, Tommaso; Morettin, Paolo; van Krieken, Emile; Vergari, Antonio; Teso, Stefano; Passerini, Andrea
Publicado en: Advances in Neural Information Processing Systems 37 (NeurIPS 2024), 2024
Editor: Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Can LLMs Correct Physicians, Yet? Investigating Effective Interaction Methods in the Medical Domain (se abrirá en una nueva ventana)

Autores: Burcu Sayin, Pasquale Minervini, Jacopo Staiano, Andrea Passerini
Publicado en: Proceedings of the 6th Clinical Natural Language Processing Workshop, 2024
Editor: Association for Computational Linguistics
DOI: 10.18653/v1/2024.clinicalnlp-1.19

Coordination in dynamic interactions by converging on tacitly agreed joint plans (se abrirá en una nueva ventana)

Autores: Arthur Le Pargneux, Hossam Zeitoun, Emmanouil Konstantinidis, Nick Chater
Publicado en: 2024
Editor: Center for Open Science
DOI: 10.31234/osf.io/w2x3f

Interpretable andFair Mechanisms forAbstaining Classifiers (se abrirá en una nueva ventana)

Autores: Daphne Lenders, Andrea Pugnana, Roberto Pellungrini, Toon Calders, Dino Pedreschi, Fosca Giannotti
Publicado en: Lecture Notes in Computer Science, Machine Learning and Knowledge Discovery in Databases. Research Track, 2024
Editor: Springer Nature Switzerland
DOI: 10.48550/arXiv.2503.18826

A Frank System for Co-Evolutionary Hybrid Decision-Making (se abrirá en una nueva ventana)

Autores: Federico Mazzoni, Riccardo Guidotti, Alessio Malizia
Publicado en: Lecture Notes in Computer Science, Advances in Intelligent Data Analysis XXII, 2024
Editor: Springer Nature Switzerland
DOI: 10.1007/978-3-031-58553-1_19

PUFFLE: Balancing Privacy, Utility, and Fairness in Federated Learning (se abrirá en una nueva ventana)

Autores: Luca Corbucci, Mikko A. Heikkil, David Solans Noguero, Anna Monreale, Nicolas Kourtellis
Publicado en: Frontiers in Artificial Intelligence and Applications, ECAI 2024, 2024
Editor: IOS Press
DOI: 10.3233/FAIA240671

Explainable AI in Time-Sensitive Scenarios: Prefetched Offline Explanation Model (se abrirá en una nueva ventana)

Autores: Fabio Michele Russo, Carlo Metta, Anna Monreale, Salvatore Rinzivillo, Fabio Pinelli
Publicado en: Lecture Notes in Computer Science, Discovery Science, 2025
Editor: Springer Nature Switzerland
DOI: 10.1007/978-3-031-78980-9_11

Explaining the Explainers in Graph Neural Networks: a Comparative Study (se abrirá en una nueva ventana)

Autores: Antonio Longa, Steve Azzolin, Gabriele Santin, Giulia Cencetti, Pietro Lio, Bruno Lepri, Andrea Passerini
Publicado en: ACM Computing Surveys, 2024, ISSN 0360-0300
Editor: Association for Computing Machinery (ACM)
DOI: 10.1145/3696444

CERN for AI: a theoretical framework for autonomous simulation-based artificial intelligence testing and alignment (se abrirá en una nueva ventana)

Autores: Ljubiša Bojić; Matteo Cinelli; Dubravko Ćulibrk; Boris Delibašić
Publicado en: European Journal of Futures Research, 2024, ISSN 2195-2248
Editor: European Journal of Futures Research
DOI: 10.48550/ARXIV.2312.09402

Futures (se abrirá en una nueva ventana)

Autores: Bojic, Ljubisa
Publicado en: Futures, 2024, ISSN 0016-3287
Editor: Elsevier
DOI: 10.1016/J.FUTURES.2024.103383

Fostering effective hybrid human-LLM reasoning and decision making (se abrirá en una nueva ventana)

Autores: Passerini, Andrea; Gema, Aryo; Minervini, Pasquale; Sayin, Burcu; Tentori, Katya
Publicado en: FRONTIERS IN ARTIFICIAL INTELLIGENCE, 2025, ISSN 2624-8212
Editor: Frontiers Media SA
DOI: 10.3389/frai.2024.1464690

NeST: The neuro-symbolic transpiler (se abrirá en una nueva ventana)

Autores: Viktor Pfanschilling, Hikaru Shindo, Devendra Singh Dhami, Kristian Kersting
Publicado en: International Journal of Approximate Reasoning, Edición 179, 2025, ISSN 0888-613X
Editor: Elsevier BV
DOI: 10.1016/J.IJAR.2025.109369

AI alignment: Assessing the global impact of recommender systems (se abrirá en una nueva ventana)

Autores: Ljubisa Bojic
Publicado en: Futures, Edición 160, 2024, ISSN 0016-3287
Editor: Elsevier BV
DOI: 10.1016/J.FUTURES.2024.103383

Conversational technology and reactions to withheld information (se abrirá en una nueva ventana)

Autores: Nikolos Gurney, George Loewenstein, Nick Chater
Publicado en: PLOS ONE, Edición 19, 2024, ISSN 1932-6203
Editor: Public Library of Science (PLoS)
DOI: 10.1371/journal.pone.0301382

Fast, Interpretable, and Deterministic Time Series Classification With a Bag-of-Receptive-Fields (se abrirá en una nueva ventana)

Autores: Francesco Spinnato, Riccardo Guidotti, Anna Monreale, Mirco Nanni
Publicado en: IEEE Access, Edición 12, 2024, ISSN 2169-3536
Editor: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/ACCESS.2024.3464743

Resource-rational contractualism: A triple theory of moral cognition (se abrirá en una nueva ventana)

Autores: Sydney Levine, Nick Chater, Joshua B. Tenenbaum, Fiery Cushman
Publicado en: Behavioral and Brain Sciences, 2024, ISSN 0140-525X
Editor: Cambridge University Press (CUP)
DOI: 10.1017/S0140525X24001067

When rules are over-ruled: Virtual bargaining as a contractualist method of moral judgment (se abrirá en una nueva ventana)

Autores: Sydney Levine, Max Kleiman-Weiner, Nick Chater, Fiery Cushman, Joshua B. Tenenbaum
Publicado en: Cognition, Edición 250, 2024, ISSN 0010-0277
Editor: Elsevier BV
DOI: 10.1016/J.COGNITION.2024.105790

Rethinking and Recomputing the Value of Machine Learning Models (se abrirá en una nueva ventana)

Autores: Burcu Sayin; Jie Yang; Xinyue Chen; Andrea Passerini; Fabio Casati
Publicado en: Crossref, 2024, ISSN 1573-7462
Editor: Artificial Intelligence Review
DOI: 10.21203/RS.3.RS-4833578/V1

Generative Model for Decision Trees (se abrirá en una nueva ventana)

Autores: Riccardo Guidotti; Anna Monreale; Mattia Setzu; Giulia Volpi
Publicado en: Proceedings of the AAAI Conference on Artificial Intelligence, 2024, ISSN 2374-3468
Editor: Proceedings of the AAAI Conference on Artificial Intelligence
DOI: 10.1609/AAAI.V38I19.30104

Fast, Interpretable, and Deterministic Time Series Classification With a Bag-of-Receptive-Fields (se abrirá en una nueva ventana)

Autores: Francesco Spinnato, Riccardo Guidotti, Anna Monreale, Mirco Nanni
Publicado en: IEEE Access, Edición 12, 2024, ISSN 2169-3536
Editor: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/ACCESS.2024.3464743

Explainable AI for Time Series Classification: A Review, Taxonomy and Research Directions (se abrirá en una nueva ventana)

Autores: Andreas Theissler, Francesco Spinnato, Udo Schlegel, Riccardo Guidotti
Publicado en: IEEE Access, Edición 10, 2022, ISSN 2169-3536
Editor: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/ACCESS.2022.3207765

Beyond the Face: Biometrics and Society (se abrirá en una nueva ventana)

Autores: Bojan, Perkov; Jelena, Adamović; Duje, Kozomara; Mila, Bajić; Duje, Prkut
Publicado en: 2023
Editor: SHARE Foundation
DOI: 10.5281/ZENODO.13819768

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