Andrea Passerini
Orcid: 0000-0002-2765-5395Affiliations:
- University of Trento, Italy
According to our database1,
Andrea Passerini
authored at least 144 papers
between 2001 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on zbmath.org
-
on orcid.org
On csauthors.net:
Bibliography
2024
Artif. Intell., March, 2024
Can LLMs Correct Physicians, Yet? Investigating Effective Interaction Methods in the Medical Domain.
CoRR, 2024
A Unified Framework for Probabilistic Verification of AI Systems via Weighted Model Integration.
CoRR, 2024
2023
EPJ Data Sci., December, 2023
Interpretability Is in the Mind of the Beholder: A Causal Framework for Human-Interpretable Representation Learning.
Entropy, December, 2023
Synthesizing explainable counterfactual policies for algorithmic recourse with program synthesis.
Mach. Learn., April, 2023
Proceedings of the Compendium of Neurosymbolic Artificial Intelligence, 2023
Glitter or Gold? Deriving Structured Insights from Sustainability Reports via Large Language Models.
CoRR, 2023
Graph Neural Networks for temporal graphs: State of the art, open challenges, and opportunities.
CoRR, 2023
Not All Neuro-Symbolic Concepts Are Created Equal: Analysis and Mitigation of Reasoning Shortcuts.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the 17th International Workshop on Neural-Symbolic Learning and Reasoning, 2023
Proceedings of the 17th International Workshop on Neural-Symbolic Learning and Reasoning, 2023
Neuro-Symbolic Continual Learning: Knowledge, Reasoning Shortcuts and Concept Rehearsal.
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the HHAI 2023: Augmenting Human Intellect, 2023
Proceedings of the HHAI 2023: Augmenting Human Intellect, 2023
Proceedings of the HHAI 2023: Augmenting Human Intellect, 2023
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023
2022
Data Min. Knowl. Discov., 2022
Generating personalized counterfactual interventions for algorithmic recourse by eliciting user preferences.
CoRR, 2022
Machine Learning for Combinatorial Optimisation of Partially-Specified Problems: Regret Minimisation as a Unifying Lens.
CoRR, 2022
Skeptical Learning - An Algorithm and a Platform for Dealing with Mislabeling in Personal Context Recognition.
Algorithms, 2022
Proceedings of the Uncertainty in Artificial Intelligence, 2022
Proceedings of the 29th International Symposium on Temporal Representation and Reasoning, 2022
Proceedings of the Machine Learning, Optimization, and Data Science, 2022
Proceedings of the Image Analysis and Processing. ICIAP 2022 Workshops, 2022
2021
Give more data, awareness and control to individual citizens, and they will help COVID-19 containment.
Ethics Inf. Technol., 2021
Artif. Intell. Rev., 2021
Artif. Intell., 2021
Proceedings of the 28th International Symposium on Temporal Representation and Reasoning, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the 15th International Workshop on Neural-Symbolic Learning and Reasoning as part of the 1st International Joint Conference on Learning & Reasoning (IJCLR 2021), 2021
Proceedings of the Joint Proceedings of the ACM IUI 2021 Workshops co-located with 26th ACM Conference on Intelligent User Interfaces (ACM IUI 2021), 2021
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021
2020
Deep Learning for Classification and Localization of COVID-19 Markers in Point-of-Care Lung Ultrasound.
IEEE Trans. Medical Imaging, 2020
Give more data, awareness and control to individual citizens, and they will help COVID-19 containment.
CoRR, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020
Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
Secur. Priv., 2019
Fixing Mislabeling by Human Annotators Leveraging Conflict Resolution and Prior Knowledge.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2019
Special issue: Selected and revised papers from the 17th International Conference of the Italian Association for Artificial Intelligence.
Intelligenza Artificiale, 2019
Data Min. Knowl. Discov., 2019
BMC Bioinform., 2019
The pywmi Framework and Toolbox for Probabilistic Inference using Weighted Model Integration.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
2018
Proceedings of the 12th ACM Conference on Recommender Systems, 2018
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
2017
Introduction to the special issue on Combining Constraint Solving with Mining and Learning.
Artif. Intell., 2017
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017
Proceedings of the Algorithmic Decision Theory - 5th International Conference, 2017
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017
2016
Proceedings of the Data Mining and Constraint Programming, 2016
Guest editors' introduction to the EcmlPkdd 2016 journal track special issue of Machine Learning.
Data Min. Knowl. Discov., 2016
Bioinform., 2016
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016
Hashing-Based Approximate Probabilistic Inference in Hybrid Domains: An Abridged Report.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016
Proceedings of the ECAI 2016 - 22nd European Conference on Artificial Intelligence, 29 August-2 September 2016, The Hague, The Netherlands, 2016
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016
2015
Proceedings of the Thirty-First Conference on Uncertainty in Artificial Intelligence, 2015
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015
2014
IEEE Trans. Knowl. Data Eng., 2014
BMC Bioinform., 2014
Improved multi-level protein¿protein interaction prediction with semantic-based regularization.
BMC Bioinform., 2014
BMC Bioinform., 2014
2013
Proceedings of the Handbook on Neural Information Processing, 2013
Artif. Intell., 2013
Proceedings of the International Conference on Social Computing, SocialCom 2013, 2013
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013
Proceedings of the Human Behavior Understanding - 4th International Workshop, 2013
Navigating the topical structure of academic search results via the Wikipedia category network.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013
2012
IEEE ACM Trans. Comput. Biol. Bioinform., 2012
Metal Binding in Proteins: Machine Learning Complements X-Ray Absorption Spectroscopy.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012
Proceedings of the Tenth Annual IEEE International Conference on Pervasive Computing and Communications, 2012
Proceedings of the Workshop on Annotation, 2012
Using Machine Learning and Information Retrieval Techniques to Improve Software Maintainability.
Proceedings of the Trustworthy Eternal Systems via Evolving Software, Data and Knowledge, 2012
2011
MetalDetector v2.0: predicting the geometry of metal binding sites from protein sequence.
Nucleic Acids Res., 2011
Fundam. Informaticae, 2011
Proceedings of the Learning and Intelligent Optimization - 5th International Conference, 2011
2010
Brain-Computer Evolutionary Multiobjective Optimization: A Genetic Algorithm Adapting to the Decision Maker.
IEEE Trans. Evol. Comput., 2010
Automatic prediction of catalytic residues by modeling residue structural neighborhood.
BMC Bioinform., 2010
Proceedings of the Pattern Recognition in Bioinformatics, 2010
Adapting to a Realistic Decision Maker: Experiments towards a Reactive Multi-objective Optimizer.
Proceedings of the Learning and Intelligent Optimization, 4th International Conference, 2010
Proceedings of the Human Behavior Understanding, First International Workshop, 2010
Predicting Structural and Functional Sites in Proteins by Searching for Maximum-weight Cliques.
Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010
2008
BMC Bioinform., 2008
MetalDetector: a web server for predicting metal-binding sites and disulfide bridges in proteins from sequence.
Bioinform., 2008
A semiparametric generative model for efficient structured-output supervised learning.
Ann. Math. Artif. Intell., 2008
Proceedings of the Advances in Neural Information Processing Systems 21, 2008
Proceedings of the Probabilistic Inductive Logic Programming - Theory and Applications, 2008
Proceedings of the Inductive Logic Programming, 18th International Conference, 2008
On the Convergence of Protein Structure and Dynamics. Statistical Learning Studies of Pseudo Folding Pathways.
Proceedings of the Evolutionary Computation, 2008
2007
Artif. Intell. Law, 2007
2006
Nucleic Acids Res., 2006
J. Mach. Learn. Res., 2006
Improving Prediction of Zinc Binding Sites by Modeling the Linkage Between Residues Close in Sequence.
Proceedings of the Research in Computational Molecular Biology, 2006
Proceedings of the Workshop on Learning Structured Information in Natural Language Applications@EACL 2006, 2006
2005
Proceedings of the IJCAI-05, Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, Edinburgh, Scotland, UK, July 30, 2005
Proceedings of the Tenth International Conference on Artificial Intelligence and Law, 2005
2004
Kernel methods, multiclass classification and applications to computational molecular biology.
PhD thesis, 2004
IEEE Trans. Neural Networks, 2004
2003
Predicting the Disulfide Bonding State of Cysteines with Combinations of Kernel Machines.
J. VLSI Signal Process., 2003
A Combination of Support Vector Machines and Bidirectional Recurrent Neural Networks for Protein Secondary Structure Prediction.
Proceedings of the AI*IA 2003: Advances in Artificial Intelligence, 2003
2002
A two-stage SVM architecture for predicting the disulfide bonding state of cysteines.
Proceedings of the 12th IEEE Workshop on Neural Networks for Signal Processing, 2002
From Margins to Probabilities in Multiclass Learning Problems.
Proceedings of the 15th European Conference on Artificial Intelligence, 2002
2001
Proceedings of the AI*IA 2001: Advances in Artificial Intelligence, 2001