Alessio Micheli

215 papers A* 6A 2B 48C 2Misc 2Journal 91Unranked 59

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Informed machine learning for complex data. Neurocomputing Luca Oneto, Nicolò Navarin, Alessio Micheli, Luca Pasa, Claudio Gallicchio, Davide Bacciu, Davide Anguita
2026	J	`jnl`	Randomized Ising models for graph node representation. Neurocomputing Maria Grazia Berni, Antonio Brau, Alessio Micheli, Domenico Tortorella
2025	J	`jnl`	Addressing the Scarcity of Benchmarks for Graph XAI. CoRR Michele Fontanesi, Alessio Micheli, Marco Podda, Domenico Tortorella
2025	—	`conf`	An Empirical Investigation of Shortcuts in Graph Learning. GbRPR Domenico Tortorella, Michele Fontanesi, Alessio Micheli, Marco Podda
2025	J	`jnl`	An empirical evaluation of rewiring approaches in graph neural networks. Pattern Recognit. Lett. Alessio Micheli, Domenico Tortorella
2025	J	`jnl`	Bridging XAI and spectral analysis to investigate the inductive biases of deep graph networks. Mach. Learn. Michele Fontanesi, Alessio Micheli, Marco Podda, Domenico Tortorella
2025	J	`jnl`	Efficient quantification on large-scale networks. Mach. Learn. Alessio Micheli, Alejandro Moreo, Marco Podda, Fabrizio Sebastiani, William Simoni, Domenico Tortorella
2025	J	`jnl`	Enhancing antibody-antigen interaction prediction with atomic flexibility. PLoS Comput. Biol. Sara Joubbi, Alessio Micheli, Paolo Milazzo, Giorgio Ciano, Stéphane M. Gagné, Pietro Liò, Duccio Medini, Giuseppe Maccari
2025	B	`conf`	Graph Machine Learning for DNA Classification. IJCNN Luca Pedrelli, Veronica Guerrini, Nadia Pisanti, Alessio Micheli
2025	—	`conf`	Improving Antibody-Antigen Interaction Prediction Through Flexibility with ESMFold. BIOSTEC (1) Sara Joubbi, Giuseppe Maccari, Giorgio Ciano, Alessio Micheli, Paolo Milazzo, Duccio Medini
2025	—	`conf`	Investigating Time-Scales in Deep Echo State Networks for Natural Language Processing. ICANN (5) Corrado Baccheschi, Alessandro Bondielli, Alessandro Lenci, Alessio Micheli, Lucia C. Passaro, Marco Podda, Domenico Tortorella
2025	J	`jnl`	Learning to quantify graph nodes. CoRR Alessio Micheli, Alejandro Moreo, Marco Podda, Fabrizio Sebastiani, William Simoni, Domenico Tortorella
2025	J	`jnl`	Sensitivity analysis on protein-protein interaction networks through deep graph networks. BMC Bioinform. Alessandro Dipalma, Michele Fontanesi, Alessio Micheli, Paolo Milazzo, Marco Podda
2025	J	`jnl`	Water Quality Estimation Through Machine Learning Multivariate Analysis. CoRR Marco Cardia, Stefano Chessa, Alessio Micheli, Antonella Giuliana Luminare, Francesca Gambineri
2024	—	`conf`	Analyzing Explanations of Deep Graph Networks Through Node Centrality and Connectivity. DS (1) Michele Fontanesi, Alessio Micheli, Marco Podda, Domenico Tortorella
2024	J	`jnl`	Antibody design using deep learning: from sequence and structure design to affinity maturation. Briefings Bioinform. Sara Joubbi, Alessio Micheli, Paolo Milazzo, Giuseppe Maccari, Giorgio Ciano, Dario Cardamone, Duccio Medini
2024	B	`conf`	Continual Learning with Graph Reservoirs: Preliminary experiments in graph classification. ESANN Domenico Tortorella, Alessio Micheli
2024	—	`conf`	Continuously Deep Recurrent Neural Networks. ECML/PKDD (7) Andrea Ceni, Peter Ford Dominey, Claudio Gallicchio, Alessio Micheli, Luca Pedrelli, Domenico Tortorella
2024	J	`jnl`	Designs of graph echo state networks for node classification. Neurocomputing Alessio Micheli, Domenico Tortorella
2024	—	`conf`	Explaining Graph Classifiers by Unsupervised Node Relevance Attribution. xAI (2) Michele Fontanesi, Alessio Micheli, Marco Podda
2024	—	`conf`	Exposing Inductive Biases of Deep Graph Networks through Explainable AI (Short paper). DC@AI*IA Michele Fontanesi, Alessio Micheli, Marco Podda
2024	J	`jnl`	Guest Editorial: Deep Neural Networks for Graphs: Theory, Models, Algorithms, and Applications. IEEE Trans. Neural Networks Learn. Syst. Ming Li, Alessio Micheli, Yu Guang Wang, Shirui Pan, Pietro Lió, Giorgio Stefano Gnecco, Marcello Sanguineti
2024	—	`conf`	Hybrid CNN-MLP for Wastewater Quality Estimation. ICANN (9) Marco Cardia, Stefano Chessa, Alessio Micheli, Antonella Giuliana Luminare, Francesca Gambineri
2024	B	`conf`	Informed Machine Learning for Complex Data. ESANN Luca Oneto, Nicolò Navarin, Alessio Micheli, Luca Pasa, Claudio Gallicchio, Davide Bacciu, Davide Anguita
2024	J	`jnl`	Investigating over-parameterized randomized graph networks. Neurocomputing Giovanni Donghi, Luca Pasa, Luca Oneto, Claudio Gallicchio, Alessio Micheli, Davide Anguita, Alessandro Sperduti, Nicolò Navarin
2024	—	`conf`	Machine Learning Approach for Labeling Undetected Planned Trips in Public Transport Operators. INTSYS Mohammad Amin Zadenoori, Marco Calamai, Francesca Del Lungo, Daria Faucci, Andrea Gaffi, Lorenzo Sarti, Alessio Micheli
2024	Misc	`conf`	Multitarget Wastewater Quality Assessment in a Smart Industry Context. IE Marco Cardia, Stefano Chessa, Alessio Micheli, Antonella Giuliana Luminare, Massimiliano Franceschi, Francesca Gambineri
2024	—	`conf`	Onion Echo State Networks - A Preliminary Analysis of Dynamics. ICANN (10) Domenico Tortorella, Alessio Micheli
2024	—	`conf`	Relating Explanations with the Inductive Biases of Deep Graph Networks. AI*IA Michele Fontanesi, Alessio Micheli, Marco Podda
2024	—	`conf`	Wastewater Quality Indicator Estimation Using Machine Learning and Data Augmentation Techniques. SOCO (1) Marco Cardia, Stefano Chessa, Alessio Micheli, Antonella Giuliana Luminare, Francesca Gambineri
2024	B	`conf`	XAI and Bias of Deep Graph Networks. ESANN Michele Fontanesi, Alessio Micheli, Marco Podda
2023	—	`conf`	A Preliminary Evaluation of Machine Learning Models for the Diagnosis of Brugada Syndrome from ECG-Extracted Features. WIRN Alessio Micheli, Giovanna Maria Dimitri, Luca Pedrelli, Marco Tranchida, Lorenzo Bachi, Lucia Billeci, Maria-Aurora Morales, Federico Vozzi
2023	J	`jnl`	Addressing Heterophily in Node Classification with Graph Echo State Networks. CoRR Alessio Micheli, Domenico Tortorella
2023	J	`jnl`	Addressing heterophily in node classification with graph echo state networks. Neurocomputing Alessio Micheli, Domenico Tortorella
2023	—	`conf`	Analysis and Interpretation of ECG Time Series Through Convolutional Neural Networks in Brugada Syndrome Diagnosis. ICANN (4) Alessio Micheli, Marco Natali, Luca Pedrelli, Lorenzo Simone, Maria-Aurora Morales, Marcello Piacenti, Federico Vozzi
2023	J	`jnl`	Architectural richness in deep reservoir computing. Neural Comput. Appl. Claudio Gallicchio, Alessio Micheli
2023	B	`conf`	Entropy Based Regularization Improves Performance in the Forward-Forward Algorithm. ESANN Matteo Pardi, Domenico Tortorella, Alessio Micheli
2023	J	`jnl`	Exploiting the structure of biochemical pathways to investigate dynamical properties with neural networks for graphs. Bioinform. Michele Fontanesi, Alessio Micheli, Paolo Milazzo, Marco Podda
2023	B	`conf`	Graph Representation Learning. ESANN Davide Bacciu, Federico Errica, Alessio Micheli, Nicolò Navarin, Luca Pasa, Marco Podda, Daniele Zambon
2023	J	`jnl`	Guest Editorial: Trends in Reservoir Computing. Cogn. Comput. Simone Scardapane, Claudio Gallicchio, Alessio Micheli, Miguel C. Soriano
2023	B	`conf`	Hidden Markov Models for Temporal Graph Representation Learning. ESANN Federico Errica, Alessio Gravina, Davide Bacciu, Alessio Micheli
2023	J	`jnl`	Is Rewiring Actually Helpful in Graph Neural Networks? CoRR Domenico Tortorella, Alessio Micheli
2023	—	`conf`	Minimum Spanning Set Selection in Graph Kernels. GbRPR Domenico Tortorella, Alessio Micheli
2023	J	`jnl`	Modeling Edge Features with Deep Bayesian Graph Networks. CoRR Daniele Atzeni, Federico Errica, Davide Bacciu, Alessio Micheli
2023	—	`conf`	Pre-trained Models Based on Primary Sequence to Classify Antibody Binding to Protein and Non-protein Targets with 80% Accuracy. CIBB Sara Joubbi, Giuseppe Maccari, Dario Cardamone, Giorgio Ciano, Alessio Micheli, Paolo Milazzo, Duccio Medini
2023	J	`jnl`	PyDGN: a Python Library for Flexible and Reproducible Research on Deep Learning for Graphs. J. Open Source Softw. Federico Errica, Davide Bacciu, Alessio Micheli
2023	B	`conf`	Richness of Node Embeddings in Graph Echo State Networks. ESANN Domenico Tortorella, Alessio Micheli
2022	B	`conf`	Beyond Homophily with Graph Echo State Networks. ESANN Domenico Tortorella, Alessio Micheli
2022	J	`jnl`	Beyond Homophily with Graph Echo State Networks. CoRR Domenico Tortorella, Alessio Micheli
2022	J	`jnl`	Discrete-time dynamic graph echo state networks. Neurocomputing Alessio Micheli, Domenico Tortorella
2022	J	`jnl`	Guest Editorial Special Issue on New Frontiers in Extremely Efficient Reservoir Computing. IEEE Trans. Neural Networks Learn. Syst. Gouhei Tanaka, Claudio Gallicchio, Alessio Micheli, Juan-Pablo Ortega, Akira Hirose
2022	—	`conf`	Hierarchical Dynamics in Deep Echo State Networks. ICANN (3) Domenico Tortorella, Claudio Gallicchio, Alessio Micheli
2022	B	`conf`	Input Routed Echo State Networks. ESANN Luca Argentieri, Claudio Gallicchio, Alessio Micheli
2022	J	`jnl`	Leave Graphs Alone: Addressing Over-Squashing without Rewiring. CoRR Domenico Tortorella, Alessio Micheli
2022	J	`jnl`	On the effectiveness of Gated Echo State Networks for data exhibiting long-term dependencies. Comput. Sci. Inf. Syst. Daniele Di Sarli, Claudio Gallicchio, Alessio Micheli
2022	J	`jnl`	Pyramidal Reservoir Graph Neural Network. Neurocomputing Filippo Maria Bianchi, Claudio Gallicchio, Alessio Micheli
2022	B	`conf`	Spectral Bounds for Graph Echo State Network Stability. IJCNN Domenico Tortorella, Claudio Gallicchio, Alessio Micheli
2022	A*	`conf`	The Infinite Contextual Graph Markov Model. ICML Daniele Castellana, Federico Errica, Davide Bacciu, Alessio Micheli
2022	J	`jnl`	Towards learning trustworthily, automatically, and with guarantees on graphs: An overview. Neurocomputing Luca Oneto, Nicolò Navarin, Battista Biggio, Federico Errica, Alessio Micheli, Franco Scarselli, Monica Bianchini, Luca Demetrio, Pietro Bongini, Armando Tacchella, Alessandro Sperduti
2021	—	`conf`	A preliminary evaluation of Echo State Networks for Brugada syndrome classification. SSCI Giovanna Maria Dimitri, Claudio Gallicchio, Alessio Micheli, Maria-Aurora Morales, Emanuele Ungaro, Federico Vozzi
2021	—	`conf`	Benchmarking Reservoir and Recurrent Neural Networks for Human State and Activity Recognition. IWANN (2) Davide Bacciu, Daniele Di Sarli, Claudio Gallicchio, Alessio Micheli, Niccolò Puccinelli
2021	B	`conf`	Complex Data: Learning Trustworthily, Automatically, and with Guarantees. ESANN Luca Oneto, Nicolò Navarin, Battista Biggio, Federico Errica, Alessio Micheli, Franco Scarselli, Monica Bianchini, Alessandro Sperduti
2021	—	`ch.`	Deep Reservoir Computing. Reservoir Computing Claudio Gallicchio, Alessio Micheli
2021	B	`conf`	Dynamic Graph Echo State Networks. ESANN Domenico Tortorella, Alessio Micheli
2021	J	`jnl`	Dynamic Graph Echo State Networks. CoRR Domenico Tortorella, Alessio Micheli
2021	B	`conf`	Federated Reservoir Computing Neural Networks. IJCNN Davide Bacciu, Daniele Di Sarli, Pouria Faraji, Claudio Gallicchio, Alessio Micheli
2021	A*	`conf`	Graph Mixture Density Networks. ICML Federico Errica, Davide Bacciu, Alessio Micheli
2021	B	`conf`	Modeling Edge Features with Deep Bayesian Graph Networks. IJCNN Daniele Atzeni, Davide Bacciu, Federico Errica, Alessio Micheli
2021	B	`conf`	Phase Transition Adaptation. IJCNN Claudio Gallicchio, Alessio Micheli, Luca Silvestri
2021	J	`jnl`	Phase Transition Adaptation. CoRR Claudio Gallicchio, Alessio Micheli, Luca Silvestri
2021	J	`jnl`	Pyramidal Reservoir Graph Neural Network. CoRR Filippo Maria Bianchi, Claudio Gallicchio, Alessio Micheli
2021	B	`conf`	Robust Malware Classification via Deep Graph Networks on Call Graph Topologies. ESANN Federico Errica, Giacomo Iadarola, Fabio Martinelli, Francesco Mercaldo, Alessio Micheli
2021	—	`conf`	TEACHING - Trustworthy autonomous cyber-physical applications through human-centred intelligence. COINS Davide Bacciu, Siranush Akarmazyan, Eric Armengaud, Manlio Bacco, George Bravos, Calogero Calandra, Emanuele Carlini, Antonio Carta, Pietro Cassarà, Massimo Coppola, Charalampos Davalas, Patrizio Dazzi, Maria Carmela De Gennaro, Daniele Di Sarli, Jürgen Dobaj, Claudio Gallicchio, Sylvain Girbal, Alberto Gotta, Riccardo Groppo, Vincenzo Lomonaco, Georg Macher, Daniele Mazzei, Gabriele Mencagli, Dimitrios Michail, Alessio Micheli, Roberta Peroglio, Salvatore Petroni, Rosaria Potenza, Farank Pourdanesh, Christos Sardianos, Konstantinos Tserpes, Fulvio Tagliabo, Jakob Valtl, Iraklis Varlamis, Omar Veledar
2021	J	`jnl`	TEACHING - Trustworthy autonomous cyber-physical applications through human-centred intelligence. CoRR Davide Bacciu, Siranush Akarmazyan, Eric Armengaud, Manlio Bacco, George Bravos, Calogero Calandra, Emanuele Carlini, Antonio Carta, Pietro Cassarà, Massimo Coppola, Charalampos Davalas, Patrizio Dazzi, Maria Carmela De Gennaro, Daniele Di Sarli, Jürgen Dobaj, Claudio Gallicchio, Sylvain Girbal, Alberto Gotta, Riccardo Groppo, Vincenzo Lomonaco, Georg Macher, Daniele Mazzei, Gabriele Mencagli, Dimitrios Michail, Alessio Micheli, Roberta Peroglio, Salvatore Petroni, Rosaria Potenza, Farank Pourdanesh, Christos Sardianos, Konstantinos Tserpes, Fulvio Tagliabo, Jakob Valtl, Iraklis Varlamis, Omar Veledar
2020	A	`conf`	A Deep Generative Model for Fragment-Based Molecule Generation. AISTATS Marco Podda, Davide Bacciu, Alessio Micheli
2020	J	`jnl`	A Deep Generative Model for Fragment-Based Molecule Generation. CoRR Marco Podda, Davide Bacciu, Alessio Micheli
2020	A*	`conf`	A Fair Comparison of Graph Neural Networks for Graph Classification. ICLR Federico Errica, Marco Podda, Davide Bacciu, Alessio Micheli
2020	—	`conf`	A Preliminary Investigation of Machine Learning Approaches for Mobility Monitoring from Smartphone Data. ICCSA (2) Claudio Gallicchio, Alessio Micheli, Massimiliano Petri, Antonio Pratelli
2020	J	`jnl`	A gentle introduction to deep learning for graphs. Neural Networks Davide Bacciu, Federico Errica, Alessio Micheli, Marco Podda
2020	J	`jnl`	Accelerating the identification of informative reduced representations of proteins with deep learning for graphs. CoRR Federico Errica, Marco Giulini, Davide Bacciu, Roberto Menichetti, Alessio Micheli, Raffaello Potestio
2020	B	`conf`	Biochemical Pathway Robustness Prediction with Graph Neural Networks. ESANN Marco Podda, Alessio Micheli, Davide Bacciu, Paolo Milazzo
2020	—	`conf`	Classification of Biochemical Pathway Robustness with Neural Networks for Graphs. BIOSTEC (Selected Papers) Marco Podda, Pasquale Bove, Alessio Micheli, Paolo Milazzo
2020	J	`jnl`	EchoBay: Design and Optimization of Echo State Networks under Memory and Time Constraints. ACM Trans. Archit. Code Optim. Luca Cerina, Marco D. Santambrogio, Giuseppe Franco, Claudio Gallicchio, Alessio Micheli
2020	J	`jnl`	Edge-based sequential graph generation with recurrent neural networks. CoRR Davide Bacciu, Alessio Micheli, Marco Podda
2020	J	`jnl`	Edge-based sequential graph generation with recurrent neural networks. Neurocomputing Davide Bacciu, Alessio Micheli, Marco Podda
2020	A	`conf`	Efficient Embedded Machine Learning applications using Echo State Networks. DATE Luca Cerina, Marco D. Santambrogio, Giuseppe Franco, Claudio Gallicchio, Alessio Micheli
2020	A*	`conf`	Fast and Deep Graph Neural Networks. AAAI Claudio Gallicchio, Alessio Micheli
2020	C	`conf`	Gated Echo State Networks: a preliminary study. INISTA Daniele Di Sarli, Claudio Gallicchio, Alessio Micheli
2020	J	`jnl`	Graph Mixture Density Networks. CoRR Federico Errica, Davide Bacciu, Alessio Micheli
2020	—	`ch.`	Hierarchical Temporal Representation in Linear Reservoir Computing. Neural Advances in Processing Nonlinear Dynamic Signals Claudio Gallicchio, Alessio Micheli, Luca Pedrelli
2020	J	`jnl`	Machine learning approaches for identifying prey handling activity in otariid pinnipeds. CoRR Rita Pucci, Alessio Micheli, Stefano Chessa, Jane Hunter
2020	—	`conf`	Prediction of Dynamical Properties of Biochemical Pathways with Graph Neural Networks. BIOINFORMATICS Pasquale Bove, Alessio Micheli, Paolo Milazzo, Marco Podda
2020	J	`jnl`	Probabilistic Learning on Graphs via Contextual Architectures. J. Mach. Learn. Res. Davide Bacciu, Federico Errica, Alessio Micheli
2020	B	`conf`	Pyramidal Graph Echo State Networks. ESANN Filippo Maria Bianchi, Claudio Gallicchio, Alessio Micheli
2020	B	`conf`	Ring Reservoir Neural Networks for Graphs. IJCNN Claudio Gallicchio, Alessio Micheli
2020	J	`jnl`	Ring Reservoir Neural Networks for Graphs. CoRR Claudio Gallicchio, Alessio Micheli
2020	B	`conf`	Simplifying Deep Reservoir Architectures. ESANN Claudio Gallicchio, Alessio Micheli, Antonio Sisbarra
2020	J	`jnl`	Text classification by untrained sentence embeddings. Intelligenza Artificiale Daniele Di Sarli, Claudio Gallicchio, Alessio Micheli
2020	B	`conf`	Theoretically Expressive and Edge-aware Graph Learning. ESANN Federico Errica, Davide Bacciu, Alessio Micheli
2020	J	`jnl`	Theoretically Expressive and Edge-aware Graph Learning. CoRR Federico Errica, Davide Bacciu, Alessio Micheli
2020	—	`conf`	Time Series Clustering with Deep Reservoir Computing. ICANN (2) Miguel A. Atencia Ruiz, Claudio Gallicchio, Gonzalo Joya, Alessio Micheli
2019	J	`jnl`	A Fair Comparison of Graph Neural Networks for Graph Classification. CoRR Federico Errica, Marco Podda, Davide Bacciu, Alessio Micheli
2019	J	`jnl`	A Gentle Introduction to Deep Learning for Graphs. CoRR Davide Bacciu, Federico Errica, Alessio Micheli, Marco Podda
2019	J	`jnl`	An ambient intelligence approach for learning in smart robotic environments. Comput. Intell. Davide Bacciu, Maurizio Di Rocco, Mauro Dragone, Claudio Gallicchio, Alessio Micheli, Alessandro Saffiotti
2019	B	`conf`	Comparison between DeepESNs and gated RNNs on multivariate time-series prediction. ESANN Claudio Gallicchio, Alessio Micheli, Luca Pedrelli
2019	—	`conf`	Continuous Blood Pressure Estimation Through Optimized Echo State Networks. ICANN (Workshop) Giuseppe Franco, Luca Cerina, Claudio Gallicchio, Alessio Micheli, Marco Domenico Santambrogio
2019	—	`conf`	Deep Learning for Graphs. INNSBDDL (Tutorials) Davide Bacciu, Alessio Micheli
2019	J	`jnl`	Deep Reservoir Neural Networks for Trees. Inf. Sci. Claudio Gallicchio, Alessio Micheli
2019	J	`jnl`	Editorial: Booming of Neural Networks and Learning Systems. IEEE Trans. Neural Networks Learn. Syst. Akira Hirose, Alessio Micheli, Artur S. d'Avila Garcez, Choon Ki Ahn, Gang Pan, Hamid Reza Karimi, Jianbing Shen, José de Jesús Rubio, Lei Zhang, Lingjia Liu, Lorenzo Livi, Nian Zhang, Nishchal K. Verma, Pedro Antonio Gutiérrez, Qi Tian, Qinglai Wei, Seiichi Ozawa, Stuart H. Rubin, Wei-Neng Chen, Xi Li, Xiaofeng Liao, Youmin Zhang, Zhen Ni, Haibo He
2019	B	`conf`	Embeddings and Representation Learning for Structured Data. ESANN Benjamin Paaßen, Claudio Gallicchio, Alessio Micheli, Alessandro Sperduti
2019	J	`jnl`	Embeddings and Representation Learning for Structured Data. CoRR Benjamin Paaßen, Claudio Gallicchio, Alessio Micheli, Alessandro Sperduti
2019	—	`conf`	Fast Spectral Radius Initialization for Recurrent Neural Networks. INNSBDDL Claudio Gallicchio, Alessio Micheli, Luca Pedrelli
2019	J	`jnl`	Fast and Deep Graph Neural Networks. CoRR Claudio Gallicchio, Alessio Micheli
2019	B	`conf`	Graph generation by sequential edge prediction. ESANN Davide Bacciu, Alessio Micheli, Marco Podda
2019	—	`conf`	Question Classification with Untrained Recurrent Embeddings. AI*IA Daniele Di Sarli, Claudio Gallicchio, Alessio Micheli
2019	—	`conf`	Reservoir Topology in Deep Echo State Networks. ICANN (Workshop) Claudio Gallicchio, Alessio Micheli
2019	J	`jnl`	Reservoir Topology in Deep Echo State Networks. CoRR Claudio Gallicchio, Alessio Micheli
2019	—	`conf`	Richness of Deep Echo State Network Dynamics. IWANN (1) Claudio Gallicchio, Alessio Micheli
2019	J	`jnl`	Richness of Deep Echo State Network Dynamics. CoRR Claudio Gallicchio, Alessio Micheli
2018	—	`conf`	Combining Memory and Non-linearity in Echo State Networks. ICANN (2) Eleonora Di Gregorio, Claudio Gallicchio, Alessio Micheli
2018	J	`jnl`	Comparison between DeepESNs and gated RNNs on multivariate time-series prediction. CoRR Claudio Gallicchio, Alessio Micheli, Luca Pedrelli
2018	A*	`conf`	Contextual Graph Markov Model: A Deep and Generative Approach to Graph Processing. ICML Davide Bacciu, Federico Errica, Alessio Micheli
2018	J	`jnl`	Contextual Graph Markov Model: A Deep and Generative Approach to Graph Processing. CoRR Davide Bacciu, Federico Errica, Alessio Micheli
2018	B	`conf`	Deep Echo State Networks for Diagnosis of Parkinson's Disease. ESANN Claudio Gallicchio, Alessio Micheli, Luca Pedrelli
2018	J	`jnl`	Deep Echo State Networks for Diagnosis of Parkinson's Disease. CoRR Claudio Gallicchio, Alessio Micheli, Luca Pedrelli
2018	B	`conf`	Deep Tree Echo State Networks. IJCNN Claudio Gallicchio, Alessio Micheli
2018	J	`jnl`	Design of deep echo state networks. Neural Networks Claudio Gallicchio, Alessio Micheli, Luca Pedrelli
2018	J	`jnl`	Generative Kernels for Tree-Structured Data. IEEE Trans. Neural Networks Learn. Syst. Davide Bacciu, Alessio Micheli, Alessandro Sperduti
2018	—	`conf`	ITAmoji 2018: Emoji Prediction via Tree Echo State Networks. EVALITA@CLiC-it Daniele Di Sarli, Claudio Gallicchio, Alessio Micheli
2018	J	`jnl`	Local Lyapunov exponents of deep echo state networks. Neurocomputing Claudio Gallicchio, Alessio Micheli, Luca Silvestri
2018	B	`conf`	Randomized Recurrent Neural Networks. ESANN Claudio Gallicchio, Alessio Micheli, Peter Tiño
2018	A*	`conf`	Tree Edit Distance Learning via Adaptive Symbol Embeddings. ICML Benjamin Paaßen, Claudio Gallicchio, Alessio Micheli, Barbara Hammer
2018	J	`jnl`	Tree Edit Distance Learning via Adaptive Symbol Embeddings. CoRR Benjamin Paaßen, Claudio Gallicchio, Alessio Micheli, Barbara Hammer
2018	B	`conf`	Why Layering in Recurrent Neural Networks? A DeepESN Survey. IJCNN Claudio Gallicchio, Alessio Micheli
2017	J	`jnl`	A Comparative Analysis of SVM and IDNN for Identifying Penguin Activities. Appl. Artif. Intell. Stefano Chessa, Alessio Micheli, Rita Pucci, Jane Hunter, Gemma Carroll, Rob Harcourt
2017	J	`jnl`	A learning system for automatic Berg Balance Scale score estimation. Eng. Appl. Artif. Intell. Davide Bacciu, Stefano Chessa, Claudio Gallicchio, Alessio Micheli, Luca Pedrelli, Erina Ferro, Luigi Fortunati, Davide La Rosa, Filippo Palumbo, Federico Vozzi, Oberdan Parodi
2017	J	`jnl`	Deep Echo State Network (DeepESN): A Brief Survey. CoRR Claudio Gallicchio, Alessio Micheli
2017	J	`jnl`	Deep reservoir computing: A critical experimental analysis. Neurocomputing Claudio Gallicchio, Alessio Micheli, Luca Pedrelli
2017	J	`jnl`	Echo State Property of Deep Reservoir Computing Networks. Cogn. Comput. Claudio Gallicchio, Alessio Micheli
2017	—	`conf`	Experimental Analysis of Deep Echo State Networks for Ambient Assisted Living. AIAAL@AIIA Claudio Gallicchio, Alessio Micheli
2017	J	`jnl`	Hierarchical Temporal Representation in Linear Reservoir Computing. CoRR Claudio Gallicchio, Alessio Micheli, Luca Pedrelli
2017	B	`conf`	Local Lyapunov Exponents of Deep RNN. ESANN Claudio Gallicchio, Alessio Micheli, Luca Silvestri
2017	—	`conf`	On the need of machine learning as a service for the internet of things. IML Davide Bacciu, Stefano Chessa, Claudio Gallicchio, Alessio Micheli
2017	B	`conf`	Randomized Machine Learning Approaches: Recent Developments and Challenges. ESANN Claudio Gallicchio, José David Martín-Guerrero, Alessio Micheli, Emilio Soria-Olivas
2017	J	`jnl`	Reliability and human factors in Ambient Assisted Living environments - The DOREMI case study. J. Reliab. Intell. Environ. Filippo Palumbo, Davide La Rosa, Erina Ferro, Davide Bacciu, Claudio Gallicchio, Alessio Micheli, Stefano Chessa, Federico Vozzi, Oberdan Parodi
2016	—	`conf`	A Benchmark Dataset for Human Activity Recognition and Ambient Assisted Living. ISAmI Giuseppe Amato, Davide Bacciu, Stefano Chessa, Mauro Dragone, Claudio Gallicchio, Claudio Gennaro, Héctor Lozano Peiteado, Alessio Micheli, Gregory M. P. O'Hare, Arantxa Rentería, Claudio Vairo
2016	—	`conf`	A Reservoir Computing Approach for Human Gesture Recognition from Kinect Data. AIAAL@AIIA Claudio Gallicchio, Alessio Micheli
2016	B	`conf`	A reservoir activation kernel for trees. ESANN Davide Bacciu, Claudio Gallicchio, Alessio Micheli
2016	B	`conf`	Deep Reservoir Computing: A Critical Analysis. ESANN Claudio Gallicchio, Alessio Micheli
2016	B	`conf`	Detecting Socialization Events in Ageing People: The Experience of the DOREMI Project. Intelligent Environments Davide Bacciu, Stefano Chessa, Erina Ferro, Luigi Fortunati, Claudio Gallicchio, Davide La Rosa, Miguel Llorente, Alessio Micheli, Filippo Palumbo, Oberdan Parodi, Andrea Valenti, Federico Vozzi
2016	J	`jnl`	Human activity recognition using multisensor data fusion based on Reservoir Computing. J. Ambient Intell. Smart Environ. Filippo Palumbo, Claudio Gallicchio, Rita Pucci, Alessio Micheli
2016	B	`conf`	RSS-based Robot Localization in Critical Environments using Reservoir Computing. ESANN Mauro Dragone, Claudio Gallicchio, Roberto Guzmán, Alessio Micheli
2015	—	`conf`	A Reservoir Computing Approach for Balance Assessment. AALTD@PKDD/ECML (Revised Selected Papers) Claudio Gallicchio, Alessio Micheli, Luca Pedrelli, Luigi Fortunati, Federico Vozzi, Oberdan Parodi
2015	J	`jnl`	A cognitive robotic ecology approach to self-configuring and evolving AAL systems. Eng. Appl. Artif. Intell. Mauro Dragone, Giuseppe Amato, Davide Bacciu, Stefano Chessa, Sonya A. Coleman, Maurizio Di Rocco, Claudio Gallicchio, Claudio Gennaro, Héctor Lozano Peiteado, Liam P. Maguire, T. Martin McGinnity, Alessio Micheli, Gregory M. P. O'Hare, Arantxa Rentería, Alessandro Saffiotti, Claudio Vairo, Philip J. Vance
2015	B	`conf`	ESNigma: efficient feature selection for echo state networks. ESANN Davide Bacciu, Filippo Benedetti, Alessio Micheli
2015	J	`jnl`	Prediction of the Italian electricity price for smart grid applications. Neurocomputing Emanuele Crisostomi, Claudio Gallicchio, Alessio Micheli, Marco Raugi, Mauro Tucci
2015	—	`conf`	Preliminary Experimental Analysis of Reservoir Computing Approach for Balance Assessment. AALTD@PKDD/ECML Claudio Gallicchio, Alessio Micheli, Luca Pedrelli, Federico Vozzi, Oberdan Parodi
2015	J	`jnl`	Robotic Ubiquitous Cognitive Ecology for Smart Homes. J. Intell. Robotic Syst. Giuseppe Amato, Davide Bacciu, Mathias Broxvall, Stefano Chessa, Sonya A. Coleman, Maurizio Di Rocco, Mauro Dragone, Claudio Gallicchio, Claudio Gennaro, Héctor Lozano Peiteado, T. Martin McGinnity, Alessio Micheli, Anjan Kumar Ray, Arantxa Rentería, Alessandro Saffiotti, David Swords, Claudio Vairo, Philip J. Vance
2015	Misc	`conf`	Smart Environments and Context-Awareness for Lifestyle Management in a Healthy Active Ageing Framework. EPIA 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	—	`conf`	Structured parallel implementation of Tree Echo State Network model selection. PARCO Marco Danelutto, Claudio Gallicchio, Alessio Micheli, Massimo Torquati, Daniele Virgilio
2014	J	`jnl`	An experimental characterization of reservoir computing in ambient assisted living applications. Neural Comput. Appl. Davide Bacciu, Paolo Barsocchi, Stefano Chessa, Claudio Gallicchio, Alessio Micheli
2014	B	`conf`	Integrating bi-directional contexts in a generative kernel for trees. IJCNN Davide Bacciu, Alessio Micheli, Alessandro Sperduti
2014	—	`conf`	Learning context-aware mobile robot navigation in home environments. IISA Davide Bacciu, Claudio Gallicchio, Alessio Micheli, Maurizio Di Rocco, Alessandro Saffiotti
2014	—	`conf`	Modeling Bi-directional Tree Contexts by Generative Transductions. ICONIP (1) Davide Bacciu, Alessio Micheli, Alessandro Sperduti
2013	J	`jnl`	An input-output hidden Markov model for tree transductions. Neurocomputing Davide Bacciu, Alessio Micheli, Alessandro Sperduti
2013	J	`jnl`	Compositional Generative Mapping for Tree-Structured Data - Part II: Topographic Projection Model. IEEE Trans. Neural Networks Learn. Syst. Davide Bacciu, Alessio Micheli, Alessandro Sperduti
2013	—	`conf`	Distributed Neural Computation over WSN in Ambient Intelligence. ISAmI Davide Bacciu, Claudio Gallicchio, Alessandro Lenzi, Stefano Chessa, Alessio Micheli, Susanna Pelagatti, Claudio Vairo
2013	J	`jnl`	Forecast-Driven Enhancement of Received Signal Strength (RSS)-Based Localization Systems. ISPRS Int. J. Geo Inf. Paolo Barsocchi, Stefano Chessa, Alessio Micheli, Claudio Gallicchio
2013	J	`jnl`	Italian Machine Learning and Data Mining research: The last years. Intelligenza Artificiale Nicola Di Mauro, Paolo Frasconi, Fabrizio Angiulli, Davide Bacciu, Marco de Gemmis, Floriana Esposito, Nicola Fanizzi, Stefano Ferilli, Marco Gori, Francesca A. Lisi, Pasquale Lops, Donato Malerba, Alessio Micheli, Marcello Pelillo, Francesco Ricci, Fabrizio Riguzzi, Lorenza Saitta, Giovanni Semeraro
2013	—	`conf`	Multisensor Data Fusion for Activity Recognition Based on Reservoir Computing. EvAAL Filippo Palumbo, Paolo Barsocchi, Claudio Gallicchio, Stefano Chessa, Alessio Micheli
2013	J	`jnl`	Novel approaches in machine learning and computational intelligence. Neurocomputing Alessio Micheli, Frank-Michael Schleif, Peter Tiño
2013	—	`conf`	Robot Localization by Echo State Networks Using RSS. WIRN Stefano Chessa, Claudio Gallicchio, Roberto Guzmán, Alessio Micheli
2013	J	`jnl`	Tree Echo State Networks. Neurocomputing Claudio Gallicchio, Alessio Micheli
2012	—	`conf`	A General Purpose Distributed Learning Model for Robotic Ecologies. SyRoCo Davide Bacciu, Stefano Chessa, Claudio Gallicchio, Alessandro Lenzi, Alessio Micheli, Susanna Pelagatti
2012	—	`conf`	A Generative Multiset Kernel for Structured Data. ICANN (1) Davide Bacciu, Alessio Micheli, Alessandro Sperduti
2012	—	`conf`	An Experimental Evaluation of Reservoir Computation for Ambient Assisted Living. WIRN Davide Bacciu, Stefano Chessa, Claudio Gallicchio, Alessio Micheli, Paolo Barsocchi
2012	J	`jnl`	Compositional Generative Mapping for Tree-Structured Data - Part I: Bottom-Up Probabilistic Modeling of Trees. IEEE Trans. Neural Networks Learn. Syst. Davide Bacciu, Alessio Micheli, Alessandro Sperduti
2012	B	`conf`	Constructive Reservoir Computation with Output Feedbacks for Structured Domains. ESANN Claudio Gallicchio, Alessio Micheli, Giulio Visco
2012	B	`conf`	Input-Output Hidden Markov Models for trees. ESANN Davide Bacciu, Alessio Micheli, Alessandro Sperduti
2012	—	`conf`	Robotic UBIquitous COgnitive Network. ISAmI Giuseppe Amato, Mathias Broxvall, Stefano Chessa, Mauro Dragone, Claudio Gennaro, Rafa López, Liam P. Maguire, T. Martin McGinnity, Alessio Micheli, Arantxa Rentería, Gregory M. P. O'Hare, Federico Pecora
2011	B	`conf`	Adaptive tree kernel by multinomial generative topographic mapping. IJCNN Davide Bacciu, Alessio Micheli, Alessandro Sperduti
2011	J	`jnl`	Architectural and Markovian factors of echo state networks. Neural Networks Claudio Gallicchio, Alessio Micheli
2011	B	`conf`	Exploiting vertices states in GraphESN by weighted nearest neighbor. ESANN Claudio Gallicchio, Alessio Micheli
2011	—	`conf`	Supervised State Mapping of Clustered GraphESN States. WIRN Claudio Gallicchio, Alessio Micheli
2011	—	`conf`	User Movements Forecasting by Reservoir Computing Using Signal Streams Produced by Mote-Class Sensors. MOBILIGHT Claudio Gallicchio, Alessio Micheli, Paolo Barsocchi, Stefano Chessa
2010	B	`conf`	A Markovian characterization of redundancy in echo state networks by PCA. ESANN Claudio Gallicchio, Alessio Micheli
2010	—	`conf`	Bottom-Up Generative Modeling of Tree-Structured Data. ICONIP (1) Davide Bacciu, Alessio Micheli, Alessandro Sperduti
2010	B	`conf`	Compositional generative mapping of structured data. IJCNN Davide Bacciu, Alessio Micheli, Alessandro Sperduti
2010	B	`conf`	Graph Echo State Networks. IJCNN Claudio Gallicchio, Alessio Micheli
2010	B	`conf`	TreeESN: a Preliminary Experimental Analysis. ESANN Claudio Gallicchio, Alessio Micheli
2009	—	`ed.`	Computational Intelligence and Bioengineering - Essays in Memory of Antonina Starita Computational Intelligence and Bioengineering Francesco Masulli, Alessio Micheli, Alessandro Sperduti
2009	J	`jnl`	Modeling adaptive kernels from probabilistic phylogenetic trees. Artif. Intell. Medicine Luca Nicotra, Alessio Micheli
2009	J	`jnl`	Neural Network for Graphs: A Contextual Constructive Approach. IEEE Trans. Neural Networks Alessio Micheli
2009	—	`ch.`	Recursive Neural Networks for Cheminformatics: QSPR for Polymeric Compounds (Towards Biomaterials Design). Computational Intelligence and Bioengineering Alessio Micheli, Carlo Bertinetto, Celia Duce, Roberto Solaro, Maria Rosaria Tiné
2007	—	`conf`	A general framework for unsupervised preocessing of structured data. Probabilistic, Logical and Relational Learning - A Further Synthesis Barbara Hammer, Alessio Micheli, Alessandro Sperduti
2007	—	`ch.`	Adaptive Contextual Processing of Structured Data by Recursive Neural Networks: A Survey of Computational Properties. Perspectives of Neural-Symbolic Integration Barbara Hammer, Alessio Micheli, Alessandro Sperduti
2007	—	`conf`	Generative Kernels for Gene Function Prediction Through Probabilistic Tree Models of Evolution. WILF Luca Nicotra, Alessio Micheli, Antonina Starita
2007	—	`conf`	Recursive Principal Component Analysis of Graphs. ICANN (2) Alessio Micheli, Alessandro Sperduti
2006	J	`jnl`	Predicting Physical-Chemical Properties of Compounds from Molecular Structures by Recursive Neural Networks. J. Chem. Inf. Model. Luca Bernazzani, Celia Duce, Alessio Micheli, Vincenzo Mollica, Alessandro Sperduti, Antonina Starita, Maria Rosaria Tiné
2005	—	`conf`	A New Neural Network Model for Contextual Processing of Graphs. WIRN/NAIS Alessio Micheli, Antonio S. Sestito
2005	J	`jnl`	A preliminary empirical comparison of recursive neural networks and tree kernel methods on regression tasks for tree structured domains. Neurocomputing Alessio Micheli, Filippo Portera, Alessandro Sperduti
2005	J	`jnl`	Universal Approximation Capability of Cascade Correlation for Structures. Neural Comput. Barbara Hammer, Alessio Micheli, Alessandro Sperduti
2004	—	`conf`	A Preliminary Investigation on Connecting Genotype to Oral Cancer Development through XCS. WIRN Flavio Baronti, Valentina Maggini, Alessio Micheli, Alessandro Passaro, Anna Maria Rossi, Antonina Starita
2004	J	`jnl`	A general framework for unsupervised processing of structured data. Neurocomputing Barbara Hammer, Alessio Micheli, Alessandro Sperduti, Marc Strickert
2004	B	`conf`	A preliminary experimental comparison of recursive neural networks and a tree kernel method for QSAR/QSPR regression tasks. ESANN Alessio Micheli, Filippo Portera, Alessandro Sperduti
2004	J	`jnl`	Contextual processing of structured data by recursive cascade correlation. IEEE Trans. Neural Networks Alessio Micheli, Diego Sona, Alessandro Sperduti
2004	B	`conf`	Fisher kernel for tree structured data. IJCNN Luca Nicotra, Alessio Micheli, Antonina Starita
2004	J	`jnl`	Recursive self-organizing network models. Neural Networks Barbara Hammer, Alessio Micheli, Alessandro Sperduti, Marc Strickert
2003	C	`conf`	Formal Determination of Context in Contextual Recursive Cascade Correlation Networks. ICANN Alessio Micheli, Diego Sona, Alessandro Sperduti
2003	—	`conf`	QSAR/QSPR Studies by Kernel Machines, Recursive Neural Networks and Their Integration. WIRN Alessio Micheli, Filippo Portera, Alessandro Sperduti
2002	B	`conf`	A general framework for unsupervised processing of structured data. ESANN Barbara Hammer, Alessio Micheli, Alessandro Sperduti
2001	J	`jnl`	Analysis of the Internal Representations Developed by Neural Networks for Structures Applied to Quantitative Structure-Activity Relationship Studies of Benzodiazepines. J. Chem. Inf. Comput. Sci. Alessio Micheli, Alessandro Sperduti, Antonina Starita, Anna Maria Bianucci
2000	J	`jnl`	Application of Cascade Correlation Networks for Structures to Chemistry. Appl. Intell. Anna Maria Bianucci, Alessio Micheli, Alessandro Sperduti, Antonina Starita
2000	—	`conf`	Bi-Causal Recurrent Cascade Correlation. IJCNN (3) Alessio Micheli, Diego Sona, Alessandro Sperduti
2000	—	`conf`	Building MLP Networks by Construction. IJCNN (4) Ah Chung Tsoi, Markus Hagenbuchner, Alessio Micheli