| 2025 | ESANN | Robustness in Protein-Protein Interaction Networks: A Link Prediction Approach. | Alessandro Dipalma, Domenico Tortorella, Alessio Micheli |
| 2025 | ESANN | Encoding Graph Topology with Randomized Ising Models. | Domenico Tortorella, Antonio Brau, Alessio Micheli |
| 2025 | ICANN | Investigating Time-Scales in Deep Echo State Networks for Natural Language Processing. | Corrado Baccheschi, Alessandro Bondielli, Alessandro Lenci, Alessio Micheli, Lucia C. Passaro, Marco Podda, Domenico Tortorella |
| 2025 | IJCNN | Graph Machine Learning for DNA Classification. | Luca Pedrelli, Veronica Guerrini, Nadia Pisanti, Alessio Micheli |
| 2024 | DIS | Analyzing Explanations of Deep Graph Networks Through Node Centrality and Connectivity. | Michele Fontanesi, Alessio Micheli, Marco Podda, Domenico Tortorella |
| 2024 | ESANN | XAI and Bias of Deep Graph Networks. | Michele Fontanesi, Alessio Micheli, Marco Podda |
| 2024 | ESANN | Informed Machine Learning for Complex Data. | Luca Oneto, Nicol Navarin, Alessio Micheli, Luca Pasa, Claudio Gallicchio, Davide Bacciu, Davide Anguita |
| 2024 | ESANN | Continual Learning with Graph Reservoirs: Preliminary experiments in graph classification. | Domenico Tortorella, Alessio Micheli |
| 2024 | ICANN | Hybrid CNN-MLP for Wastewater Quality Estimation. | Marco Cardia, Stefano Chessa, Alessio Micheli, Antonella Giuliana Luminare, Francesca Gambineri |
| 2024 | ICANN | Onion Echo State Networks - A Preliminary Analysis of Dynamics. | Domenico Tortorella, Alessio Micheli |
| 2023 | ESANN | Graph Representation Learning. | Davide Bacciu, Federico Errica, Alessio Micheli, Nicol Navarin, Luca Pasa, Marco Podda, Daniele Zambon |
| 2023 | ESANN | Hidden Markov Models for Temporal Graph Representation Learning. | Federico Errica, Alessio Gravina, Davide Bacciu, Alessio Micheli |
| 2023 | ESANN | Entropy Based Regularization Improves Performance in the Forward-Forward Algorithm. | Matteo Pardi, Domenico Tortorella, Alessio Micheli |
| 2023 | ESANN | Richness of Node Embeddings in Graph Echo State Networks. | Domenico Tortorella, Alessio Micheli |
| 2023 | ICANN | Analysis and Interpretation of ECG Time Series Through Convolutional Neural Networks in Brugada Syndrome Diagnosis. | Alessio Micheli, Marco Natali, Luca Pedrelli, Lorenzo Simone, Maria-Aurora Morales, Marcello Piacenti, Federico Vozzi |
| 2022 | ESANN | Input Routed Echo State Networks. | Luca Argentieri, Claudio Gallicchio, Alessio Micheli |
| 2022 | ESANN | Beyond Homophily with Graph Echo State Networks. | Domenico Tortorella, Alessio Micheli |
| 2022 | ICANN | Hierarchical Dynamics in Deep Echo State Networks. | Domenico Tortorella, Claudio Gallicchio, Alessio Micheli |
| 2022 | ICML | The Infinite Contextual Graph Markov Model. | Daniele Castellana, Federico Errica, Davide Bacciu, Alessio Micheli |
| 2022 | IJCNN | Spectral Bounds for Graph Echo State Network Stability. | Domenico Tortorella, Claudio Gallicchio, Alessio Micheli |
| 2021 | ESANN | Robust Malware Classification via Deep Graph Networks on Call Graph Topologies. | Federico Errica, Giacomo Iadarola, Fabio Martinelli, Francesco Mercaldo, Alessio Micheli |
| 2021 | ESANN | Complex Data: Learning Trustworthily, Automatically, and with Guarantees. | Luca Oneto, Nicol Navarin, Battista Biggio, Federico Errica, Alessio Micheli, Franco Scarselli, Monica Bianchini, Alessandro Sperduti |
| 2021 | ESANN | Dynamic Graph Echo State Networks. | Domenico Tortorella, Alessio Micheli |
| 2021 | ICML | Graph Mixture Density Networks. | Federico Errica, Davide Bacciu, Alessio Micheli |
| 2021 | IJCNN | Modeling Edge Features with Deep Bayesian Graph Networks. | Daniele Atzeni, Davide Bacciu, Federico Errica, Alessio Micheli |
| 2021 | IJCNN | Federated Reservoir Computing Neural Networks. | Davide Bacciu, Daniele Di Sarli, Pouria Faraji, Claudio Gallicchio, Alessio Micheli |
| 2021 | IJCNN | Phase Transition Adaptation. | Claudio Gallicchio, Alessio Micheli, Luca Silvestri |
| 2021 | IWANN | Benchmarking Reservoir and Recurrent Neural Networks for Human State and Activity Recognition. | Davide Bacciu, Daniele Di Sarli, Claudio Gallicchio, Alessio Micheli, Niccol Puccinelli |
| 2020 | AAAI | Fast and Deep Graph Neural Networks. | Claudio Gallicchio, Alessio Micheli |
| 2020 | AISTATS | A Deep Generative Model for Fragment-Based Molecule Generation. | Marco Podda, Davide Bacciu, Alessio Micheli |
| 2020 | DATE | Efficient Embedded Machine Learning applications using Echo State Networks. | Luca Cerina, Marco D. Santambrogio, Giuseppe Franco, Claudio Gallicchio, Alessio Micheli |
| 2020 | ESANN | Pyramidal Graph Echo State Networks. | Filippo Maria Bianchi, Claudio Gallicchio, Alessio Micheli |
| 2020 | ESANN | Theoretically Expressive and Edge-aware Graph Learning. | Federico Errica, Davide Bacciu, Alessio Micheli |
| 2020 | ESANN | Simplifying Deep Reservoir Architectures. | Claudio Gallicchio, Alessio Micheli, Antonio Sisbarra |
| 2020 | ESANN | Biochemical Pathway Robustness Prediction with Graph Neural Networks. | Marco Podda, Alessio Micheli, Davide Bacciu, Paolo Milazzo |
| 2020 | ICANN | Time Series Clustering with Deep Reservoir Computing. | Miguel A. Atencia Ruiz, Claudio Gallicchio, Gonzalo Joya, Alessio Micheli |
| 2020 | ICCSA | A Preliminary Investigation of Machine Learning Approaches for Mobility Monitoring from Smartphone Data. | Claudio Gallicchio, Alessio Micheli, Massimiliano Petri, Antonio Pratelli |
| 2020 | ICLR | A Fair Comparison of Graph Neural Networks for Graph Classification. | Federico Errica, Marco Podda, Davide Bacciu, Alessio Micheli |
| 2020 | IJCNN | Ring Reservoir Neural Networks for Graphs. | Claudio Gallicchio, Alessio Micheli |
| 2020 | INISTA | Gated Echo State Networks: a preliminary study. | Daniele Di Sarli, Claudio Gallicchio, Alessio Micheli |
| 2019 | ESANN | Graph generation by sequential edge prediction. | Davide Bacciu, Alessio Micheli, Marco Podda |
| 2019 | ESANN | Comparison between DeepESNs and gated RNNs on multivariate time-series prediction. | Claudio Gallicchio, Alessio Micheli, Luca Pedrelli |
| 2019 | ESANN | Embeddings and Representation Learning for Structured Data. | Benjamin Paaen, Claudio Gallicchio, Alessio Micheli, Alessandro Sperduti |
| 2019 | ICANN | Continuous Blood Pressure Estimation Through Optimized Echo State Networks. | Giuseppe Franco, Luca Cerina, Claudio Gallicchio, Alessio Micheli, Marco Domenico Santambrogio |
| 2019 | ICANN | Reservoir Topology in Deep Echo State Networks. | Claudio Gallicchio, Alessio Micheli |
| 2019 | IWANN | Richness of Deep Echo State Network Dynamics. | Claudio Gallicchio, Alessio Micheli |
| 2018 | ESANN | Deep Echo State Networks for Diagnosis of Parkinson's Disease. | Claudio Gallicchio, Alessio Micheli, Luca Pedrelli |
| 2018 | ESANN | Randomized Recurrent Neural Networks. | Claudio Gallicchio, Alessio Micheli, Peter Tio |
| 2018 | ICANN | Combining Memory and Non-linearity in Echo State Networks. | Eleonora Di Gregorio, Claudio Gallicchio, Alessio Micheli |
| 2018 | ICML | Contextual Graph Markov Model: A Deep and Generative Approach to Graph Processing. | Davide Bacciu, Federico Errica, Alessio Micheli |
| 2018 | ICML | Tree Edit Distance Learning via Adaptive Symbol Embeddings. | Benjamin Paaen, Claudio Gallicchio, Alessio Micheli, Barbara Hammer |
| 2018 | IJCNN | Why Layering in Recurrent Neural Networks? A DeepESN Survey. | Claudio Gallicchio, Alessio Micheli |
| 2018 | IJCNN | Deep Tree Echo State Networks. | Claudio Gallicchio, Alessio Micheli |
| 2017 | ESANN | Randomized Machine Learning Approaches: Recent Developments and Challenges. | Claudio Gallicchio, Jos David Martn-Guerrero, Alessio Micheli, Emilio Soria-Olivas |
| 2017 | ESANN | Local Lyapunov Exponents of Deep RNN. | Claudio Gallicchio, Alessio Micheli, Luca Silvestri |
| 2016 | ESANN | A reservoir activation kernel for trees. | Davide Bacciu, Claudio Gallicchio, Alessio Micheli |
| 2016 | ESANN | RSS-based Robot Localization in Critical Environments using Reservoir Computing. | Mauro Dragone, Claudio Gallicchio, Roberto Guzmn, Alessio Micheli |
| 2016 | ESANN | Deep Reservoir Computing: A Critical Analysis. | Claudio Gallicchio, Alessio Micheli |
| 2015 | EPIA | Smart Environments and Context-Awareness for Lifestyle Management in a Healthy Active Ageing Framework. | Davide Bacciu, Stefano Chessa, Claudio Gallicchio, Alessio Micheli, Erina Ferro, Luigi Fortunati, Filippo Palumbo, Oberdan Parodi, Federico Vozzi, Sten Hanke, Johannes Kropf, Karl Kreiner |
| 2015 | ESANN | ESNigma: efficient feature selection for echo state networks. | Davide Bacciu, Filippo Benedetti, Alessio Micheli |
| 2014 | ICONIP | Modeling Bi-directional Tree Contexts by Generative Transductions. | Davide Bacciu, Alessio Micheli, Alessandro Sperduti |
| 2014 | IJCNN | Integrating bi-directional contexts in a generative kernel for trees. | Davide Bacciu, Alessio Micheli, Alessandro Sperduti |
| 2012 | ESANN | Input-Output Hidden Markov Models for trees. | Davide Bacciu, Alessio Micheli, Alessandro Sperduti |
| 2012 | ESANN | Constructive Reservoir Computation with Output Feedbacks for Structured Domains. | Claudio Gallicchio, Alessio Micheli, Giulio Visco |
| 2012 | ICANN | A Generative Multiset Kernel for Structured Data. | Davide Bacciu, Alessio Micheli, Alessandro Sperduti |
| 2011 | ESANN | Exploiting vertices states in GraphESN by weighted nearest neighbor. | Claudio Gallicchio, Alessio Micheli |
| 2011 | IJCNN | Adaptive tree kernel by multinomial generative topographic mapping. | Davide Bacciu, Alessio Micheli, Alessandro Sperduti |
| 2010 | ESANN | A Markovian characterization of redundancy in echo state networks by PCA. | Claudio Gallicchio, Alessio Micheli |
| 2010 | ESANN | TreeESN: a Preliminary Experimental Analysis. | Claudio Gallicchio, Alessio Micheli |
| 2010 | ICONIP | Bottom-Up Generative Modeling of Tree-Structured Data. | Davide Bacciu, Alessio Micheli, Alessandro Sperduti |
| 2010 | IJCNN | Compositional generative mapping of structured data. | Davide Bacciu, Alessio Micheli, Alessandro Sperduti |
| 2010 | IJCNN | Graph Echo State Networks. | Claudio Gallicchio, Alessio Micheli |
| 2007 | ICANN | Recursive Principal Component Analysis of Graphs. | Alessio Micheli, Alessandro Sperduti |
| 2004 | ESANN | A preliminary experimental comparison of recursive neural networks and a tree kernel method for QSAR/QSPR regression tasks. | Alessio Micheli, Filippo Portera, Alessandro Sperduti |
| 2004 | IJCNN | Fisher kernel for tree structured data. | Luca Nicotra, Alessio Micheli, Antonina Starita |
| 2003 | ICANN | Formal Determination of Context in Contextual Recursive Cascade Correlation Networks. | Alessio Micheli, Diego Sona, Alessandro Sperduti |
| 2002 | ESANN | A general framework for unsupervised processing of structured data. | Barbara Hammer, Alessio Micheli, Alessandro Sperduti |
| 2000 | IJCNN | Bi-Causal Recurrent Cascade Correlation. | Alessio Micheli, Diego Sona, Alessandro Sperduti |
| 2000 | IJCNN | Building MLP Networks by Construction. | Ah Chung Tsoi, Markus Hagenbuchner, Alessio Micheli |