Alessio Micheli

Computer Science · Physical Sciences

35h-index5.8kcitations305works5.62yr avg
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Research Topics

Neural Networks and Reservoir Computing(100), Neural Networks and Applications(73), Advanced Memory and Neural Computing(73), Computational Drug Discovery Methods(49), Advanced Graph Neural Networks(34)

Publications305 total

Riemannian Neural Optimal Transport
arXiv (Cornell University)·2026Open Access
Riemannian Neural Optimal Transport
arXiv (Cornell University)·2026Open Access
Water Quality Estimation Through Machine Learning Multivariate Analysis
arXiv (Cornell University)·2025Open Access
Efficient quantification on large-scale networks
Machine Learning·2025· 1 citedOpen Access
Bridging XAI and spectral analysis to investigate the inductive biases of deep graph networks
Machine Learning·2025Open Access
Germline-aware deep learning models and benchmarks for predicting antibody VH–VL pairing
mAbs·2025Open Access
Enhancing antibody-antigen interaction prediction with atomic flexibility
PLoS Computational Biology·2025Open Access
Investigating Time-Scales in Deep Echo State Networks for Natural Language Processing
Lecture notes in computer science·2025
Graph Machine Learning for DNA Classification
2025
An empirical evaluation of rewiring approaches in graph neural networks
Pattern Recognition Letters·2025
Sensitivity analysis on protein-protein interaction networks through deep graph networks
BMC Bioinformatics·2025Open Access
Efficient quantification on large-scale networks
arXiv (Cornell University)·2025Open Access
Diffusion Models for Inverse Problems in the Exponential Family
arXiv (Cornell University)·2025Open Access
A Preliminary Evaluation of Machine Learning Models for the Diagnosis of Brugada Syndrome from ECG-Extracted Features
Smart innovation, systems and technologies·2025
Encoding Graph Topology with Randomized Ising Models
2025Open Access
Improving Antibody-Antigen Interaction Prediction Through Flexibility with ESMFold
2025· 1 citedOpen Access
Machine Learning Approach for Labeling Undetected Planned Trips in Public Transport Operators
Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering·2025
Analyzing Explanations of Deep Graph Networks Through Node Centrality and Connectivity
Lecture notes in computer science·2025· 2 cited
An Empirical Investigation of Shortcuts in Graph Learning
Lecture notes in computer science·2025
Pre-trained Models Based on Primary Sequence to Classify Antibody Binding to Protein and Non-protein Targets with 80% Accuracy
Lecture notes in computer science·2025
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Frequent Co-authors

Claudio Gallicchio(23), Davide Bacciu(15), Alessandro Sperduti(11), Stefano Chessa(7), Antonina Starita(7), Federico Errica(5), Marco Podda(5), Luca Pedrelli(4), Barbara Hammer(4), Celia Duce(4), Maria Rosaria Tinè(4), Mauro Dragone(4), Alessandro Saffiotti(4), Filippo Palumbo(3), Marc Strickert(3), Anna Maria Bianucci(3), Roberto Solaro(3), Giuseppe Amato(3), Maurizio Di Rocco(3), Claudio Gennaro(3)