Andrea Albarelli

Ca' Foscari University of Venice — Italy

Computer Science · Physical Sciences

22h-index1.9kcitations111works3.32yr avg
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Research Topics

Advanced Vision and Imaging(30), Robotics and Sensor-Based Localization(24), Advanced Image and Video Retrieval Techniques(21), Optical measurement and interference techniques(19), 3D Surveying and Cultural Heritage(11)

Publications111 total

Machine learning models explanations as interpretations of evidence: a theoretical framework of explainability and its implications on high-stakes biomedical decision-making
BMC Medical Research Methodology·2025Open Access
Pun Unintended: LLMs and the Illusion of Humor Understanding
arXiv (Cornell University)·2025Open Access
MORABLES: A Benchmark for Assessing Abstract Moral Reasoning in LLMs with Fables
arXiv (Cornell University)·2025Open Access
Leveraging Periodicity for Tabular Deep Learning
Electronics·2025Open Access
Crossing the Divide: Designing Layers of Explainability
Lecture notes in computer science·2025· 2 citedOpen Access
Stop Overkilling Simple Tasks with Black-Box Models, Use More Transparent Models Instead
Lecture notes in computer science·2025· 4 citedOpen Access
Morables: A Benchmark for Assessing Abstract Moral Reasoning in LLMs with Fables
2025Open Access
Pun Unintended: LLMs and the Illusion of Humor Understanding
2025Open Access
Hierarchical Text Classification and Its Foundations: A Review of Current Research
Electronics·2024· 25 citedOpen Access
Business Planning and Artificial Intelligence: Opportunities and Challenges for Accounting Firms in a Human-Centered Perspective
Apple Academic Press eBooks·2024· 2 cited
A Theoretical Framework for AI Models Explainability with Application in Biomedicine
2023· 19 citedOpen Access
Quantization-Aware NN Layers with High-throughput FPGA Implementation for Edge AI
Sensors·2023· 12 citedOpen Access
Ticket automation: An insight into current research with applications to multi-level classification scenarios
Expert Systems with Applications·2023· 22 citedOpen Access
Fruit ripeness classification: A survey
Artificial Intelligence in Agriculture·2023· 137 citedOpen Access
Stop overkilling simple tasks with black-box models and use transparent models instead
arXiv (Cornell University)·2023· 1 citedOpen Access
A Theoretical Framework for AI Models Explainability with Application in Biomedicine
arXiv (Cornell University)·2022· 2 citedOpen Access
Fruit Ripeness Classification: a Survey
arXiv (Cornell University)·2022Open Access
Hierarchical Text Classification corpora
Zenodo (CERN European Organization for Nuclear Research)·2022Open Access
Hierarchical Text Classification corpora
Zenodo (CERN European Organization for Nuclear Research)·2022Open Access
It/Fr/En-Wiki-100 datasets
Zenodo (CERN European Organization for Nuclear Research)·2022Open Access
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Frequent Co-authors

Andrea Torsello(32), Filippo Bergamasco(23), Emanuele Rodolà(17), Andrea Gasparetto(11), Luca Cosmo(11), Mara Pistellato(8), Matteo Marcuzzo(6), Alessandro Zangari(6), Matteo Rizzo(3), Marcello Pelillo(3), Daniel Cremers(3), Carlo Bagnoli(3), Stefano Biazzo(3), Gianluca Biotto(3), Giuseppe Roberto Marseglia(3), Maurizio Massaro(3), Matilde Messina(3), Luca Troiano(3), Samuel Rota Bulò(2), Marco Antonio Boschetti(2)