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2020 – today
- 2024
[j53]Sara Joubbi, Alessio Micheli, Paolo Milazzo, Giuseppe Maccari, Giorgio Ciano, Dario Cardamone, Duccio Medini:
Antibody design using deep learning: from sequence and structure design to affinity maturation. Briefings Bioinform. 25(4) (2024)- [j52]Alessio Micheli
, Domenico Tortorella:
Designs of graph echo state networks for node classification. Neurocomputing 597: 127965 (2024) - [j51]Giovanni Donghi, Luca Pasa, Luca Oneto, Claudio Gallicchio, Alessio Micheli, Davide Anguita, Alessandro Sperduti, Nicolò Navarin:
Investigating over-parameterized randomized graph networks. Neurocomputing 606: 128281 (2024) - [j50]Ming Li, Alessio Micheli, Yu Guang Wang, Shirui Pan, Pietro Lió, Giorgio Stefano Gnecco, Marcello Sanguineti:
Guest Editorial: Deep Neural Networks for Graphs: Theory, Models, Algorithms, and Applications. IEEE Trans. Neural Networks Learn. Syst. 35(4): 4367-4372 (2024) - [c110]Michele Fontanesi, Alessio Micheli, Marco Podda:
Relating Explanations with the Inductive Biases of Deep Graph Networks. AI*IA 2024: 175-187 - [c109]Michele Fontanesi, Alessio Micheli, Marco Podda, Domenico Tortorella:
Analyzing Explanations of Deep Graph Networks Through Node Centrality and Connectivity. DS 2024: 295-309 - [c108]Michele Fontanesi, Alessio Micheli, Marco Podda:
XAI and Bias of Deep Graph Networks. ESANN 2024 - [c107]Luca Oneto, Nicolò Navarin, Alessio Micheli, Luca Pasa, Claudio Gallicchio, Davide Bacciu, Davide Anguita:
Informed Machine Learning for Complex Data. ESANN 2024 - [c106]Domenico Tortorella, Alessio Micheli:
Continual Learning with Graph Reservoirs: Preliminary experiments in graph classification. ESANN 2024 - [c105]Domenico Tortorella, Alessio Micheli:
Onion Echo State Networks - A Preliminary Analysis of Dynamics. ICANN (10) 2024: 117-128 - [c104]Marco Cardia, Stefano Chessa, Alessio Micheli, Antonella Giuliana Luminare, Francesca Gambineri:
Hybrid CNN-MLP for Wastewater Quality Estimation. ICANN (9) 2024: 198-212 - [c103]Marco Cardia, Stefano Chessa, Alessio Micheli, Antonella Giuliana Luminare, Massimiliano Franceschi, Francesca Gambineri:
Multitarget Wastewater Quality Assessment in a Smart Industry Context. IE 2024: 85-92 - [c102]Andrea Ceni, Peter Ford Dominey, Claudio Gallicchio, Alessio Micheli, Luca Pedrelli, Domenico Tortorella:
Continuously Deep Recurrent Neural Networks. ECML/PKDD (7) 2024: 59-73 - [c101]Marco Cardia, Stefano Chessa, Alessio Micheli, Antonella Giuliana Luminare, Francesca Gambineri:
Wastewater Quality Indicator Estimation Using Machine Learning and Data Augmentation Techniques. SOCO (1) 2024: 47-57 - [c100]Michele Fontanesi, Alessio Micheli, Marco Podda:
Explaining Graph Classifiers by Unsupervised Node Relevance Attribution. xAI (2) 2024: 63-74 - 2023
- [j49]Michele Fontanesi, Alessio Micheli, Paolo Milazzo, Marco Podda:
Exploiting the structure of biochemical pathways to investigate dynamical properties with neural networks for graphs. Bioinform. 39(10) (2023) - [j48]Simone Scardapane, Claudio Gallicchio, Alessio Micheli, Miguel C. Soriano:
Guest Editorial: Trends in Reservoir Computing. Cogn. Comput. 15(5): 1407-1408 (2023) - [j47]Alessio Micheli, Domenico Tortorella:
Addressing heterophily in node classification with graph echo state networks. Neurocomputing 550: 126506 (2023) - [j46]Federico Errica, Davide Bacciu, Alessio Micheli:
PyDGN: a Python Library for Flexible and Reproducible Research on Deep Learning for Graphs. J. Open Source Softw. 8(90): 5713 (2023) - [j45]Claudio Gallicchio, Alessio Micheli:
Architectural richness in deep reservoir computing. Neural Comput. Appl. 35(34): 24525-24542 (2023) - [c99]Davide Bacciu, Federico Errica, Alessio Micheli, Nicolò Navarin, Luca Pasa, Marco Podda, Daniele Zambon:
Graph Representation Learning. ESANN 2023 - [c98]Federico Errica, Alessio Gravina, Davide Bacciu, Alessio Micheli:
Hidden Markov Models for Temporal Graph Representation Learning. ESANN 2023 - [c97]Matteo Pardi, Domenico Tortorella, Alessio Micheli:
Entropy Based Regularization Improves Performance in the Forward-Forward Algorithm. ESANN 2023 - [c96]Domenico Tortorella, Alessio Micheli:
Richness of Node Embeddings in Graph Echo State Networks. ESANN 2023 - [c95]Domenico Tortorella, Alessio Micheli:
Minimum Spanning Set Selection in Graph Kernels. GbRPR 2023: 15-24 - [c94]Alessio Micheli, Marco Natali, Luca Pedrelli, Lorenzo Simone, Maria-Aurora Morales, Marcello Piacenti, Federico Vozzi:
Analysis and Interpretation of ECG Time Series Through Convolutional Neural Networks in Brugada Syndrome Diagnosis. ICANN (4) 2023: 26-36 - [d4]Federico Errica, Davide Bacciu, Alessio Micheli:
PyDGN: a Python Library for Flexible and Reproducible Research on Deep Learning for Graphs. Zenodo, 2023
- [d3]Michele Fontanesi, Paolo Milazzo, Alessio Micheli, Marco Podda:
Biochemical networks with simulation-based estimations of dynamical properties. Zenodo, 2023 - [i29]Alessio Micheli, Domenico Tortorella:
Addressing Heterophily in Node Classification with Graph Echo State Networks. CoRR abs/2305.08233 (2023) - [i28]Domenico Tortorella, Alessio Micheli:
Is Rewiring Actually Helpful in Graph Neural Networks? CoRR abs/2305.19717 (2023) - [i27]Daniele Atzeni, Federico Errica, Davide Bacciu, Alessio Micheli:
Modeling Edge Features with Deep Bayesian Graph Networks. CoRR abs/2308.09087 (2023) - 2022
- [j44]Daniele Di Sarli, Claudio Gallicchio, Alessio Micheli:
On the effectiveness of Gated Echo State Networks for data exhibiting long-term dependencies. Comput. Sci. Inf. Syst. 19(1): 379-396 (2022) - [j43]Filippo Maria Bianchi, Claudio Gallicchio, Alessio Micheli:
Pyramidal Reservoir Graph Neural Network. Neurocomputing 470: 389-404 (2022) - [j42]Luca Oneto, Nicolò Navarin, Battista Biggio, Federico Errica, Alessio Micheli, Franco Scarselli, Monica Bianchini, Luca Demetrio, Pietro Bongini, Armando Tacchella, Alessandro Sperduti:
Towards learning trustworthily, automatically, and with guarantees on graphs: An overview. Neurocomputing 493: 217-243 (2022) - [j41]Alessio Micheli, Domenico Tortorella:
Discrete-time dynamic graph echo state networks. Neurocomputing 496: 85-95 (2022) - [j40]Gouhei Tanaka, Claudio Gallicchio, Alessio Micheli, Juan-Pablo Ortega, Akira Hirose:
Guest Editorial Special Issue on New Frontiers in Extremely Efficient Reservoir Computing. IEEE Trans. Neural Networks Learn. Syst. 33(6): 2571-2574 (2022) - [c93]Luca Argentieri, Claudio Gallicchio, Alessio Micheli:
Input Routed Echo State Networks. ESANN 2022 - [c92]Domenico Tortorella, Alessio Micheli:
Beyond Homophily with Graph Echo State Networks. ESANN 2022 - [c91]Domenico Tortorella, Claudio Gallicchio, Alessio Micheli:
Hierarchical Dynamics in Deep Echo State Networks. ICANN (3) 2022: 668-679 - [c90]Daniele Castellana, Federico Errica, Davide Bacciu, Alessio Micheli:
The Infinite Contextual Graph Markov Model. ICML 2022: 2721-2737 - [c89]Domenico Tortorella, Claudio Gallicchio, Alessio Micheli:
Spectral Bounds for Graph Echo State Network Stability. IJCNN 2022: 1-8 - [i26]Domenico Tortorella, Alessio Micheli:
Beyond Homophily with Graph Echo State Networks. CoRR abs/2210.15731 (2022) - [i25]Domenico Tortorella, Alessio Micheli:
Leave Graphs Alone: Addressing Over-Squashing without Rewiring. CoRR abs/2212.06538 (2022) - 2021
- [c88]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:
TEACHING - Trustworthy autonomous cyber-physical applications through human-centred intelligence. COINS 2021: 1-6 - [c87]Federico Errica, Giacomo Iadarola, Fabio Martinelli, Francesco Mercaldo, Alessio Micheli:
Robust Malware Classification via Deep Graph Networks on Call Graph Topologies. ESANN 2021 - [c86]Luca Oneto, Nicolò Navarin, Battista Biggio, Federico Errica, Alessio Micheli, Franco Scarselli, Monica Bianchini, Alessandro Sperduti:
Complex Data: Learning Trustworthily, Automatically, and with Guarantees. ESANN 2021 - [c85]Domenico Tortorella, Alessio Micheli:
Dynamic Graph Echo State Networks. ESANN 2021 - [c84]Federico Errica, Davide Bacciu, Alessio Micheli:
Graph Mixture Density Networks. ICML 2021: 3025-3035 - [c83]Daniele Atzeni, Davide Bacciu, Federico Errica, Alessio Micheli:
Modeling Edge Features with Deep Bayesian Graph Networks. IJCNN 2021: 1-8 - [c82]Davide Bacciu, Daniele Di Sarli, Pouria Faraji, Claudio Gallicchio, Alessio Micheli:
Federated Reservoir Computing Neural Networks. IJCNN 2021: 1-7 - [c81]Claudio Gallicchio, Alessio Micheli, Luca Silvestri:
Phase Transition Adaptation. IJCNN 2021: 1-8 - [c80]Davide Bacciu, Daniele Di Sarli, Claudio Gallicchio, Alessio Micheli, Niccolò Puccinelli:
Benchmarking Reservoir and Recurrent Neural Networks for Human State and Activity Recognition. IWANN (2) 2021: 168-179 - [c79]Giovanna Maria Dimitri, Claudio Gallicchio, Alessio Micheli, Maria-Aurora Morales, Emanuele Ungaro, Federico Vozzi:
A preliminary evaluation of Echo State Networks for Brugada syndrome classification. SSCI 2021: 1-8 - [p4]Claudio Gallicchio, Alessio Micheli:
Deep Reservoir Computing. Reservoir Computing 2021: 77-95 - [i24]Filippo Maria Bianchi, Claudio Gallicchio, Alessio Micheli:
Pyramidal Reservoir Graph Neural Network. CoRR abs/2104.04710 (2021) - [i23]Claudio Gallicchio, Alessio Micheli, Luca Silvestri:
Phase Transition Adaptation. CoRR abs/2104.10132 (2021) - [i22]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:
TEACHING - Trustworthy autonomous cyber-physical applications through human-centred intelligence. CoRR abs/2107.06543 (2021) - [i21]Domenico Tortorella, Alessio Micheli:
Dynamic Graph Echo State Networks. CoRR abs/2110.08565 (2021) - 2020
- [j39]Daniele Di Sarli, Claudio Gallicchio, Alessio Micheli:
Text classification by untrained sentence embeddings. Intelligenza Artificiale 14(2): 245-259 (2020) - [j38]Davide Bacciu, Alessio Micheli, Marco Podda:
Edge-based sequential graph generation with recurrent neural networks. Neurocomputing 416: 177-189 (2020) - [j37]Davide Bacciu, Federico Errica, Alessio Micheli:
Probabilistic Learning on Graphs via Contextual Architectures. J. Mach. Learn. Res. 21: 134:1-134:39 (2020) - [j36]Davide Bacciu, Federico Errica, Alessio Micheli, Marco Podda:
A gentle introduction to deep learning for graphs. Neural Networks 129: 203-221 (2020) - [j35]Luca Cerina, Marco D. Santambrogio, Giuseppe Franco, Claudio Gallicchio, Alessio Micheli:
EchoBay: Design and Optimization of Echo State Networks under Memory and Time Constraints. ACM Trans. Archit. Code Optim. 17(3): 22:1-22:24 (2020) - [c78]Claudio Gallicchio, Alessio Micheli:
Fast and Deep Graph Neural Networks. AAAI 2020: 3898-3905 - [c77]Marco Podda, Davide Bacciu, Alessio Micheli:
A Deep Generative Model for Fragment-Based Molecule Generation. AISTATS 2020: 2240-2250 - [c76]Pasquale Bove, Alessio Micheli, Paolo Milazzo, Marco Podda:
Prediction of Dynamical Properties of Biochemical Pathways with Graph Neural Networks. BIOINFORMATICS 2020: 32-43 - [c75]Marco Podda, Pasquale Bove, Alessio Micheli, Paolo Milazzo:
Classification of Biochemical Pathway Robustness with Neural Networks for Graphs. BIOSTEC (Selected Papers) 2020: 215-239 - [c74]Luca Cerina, Marco D. Santambrogio, Giuseppe Franco, Claudio Gallicchio, Alessio Micheli:
Efficient Embedded Machine Learning applications using Echo State Networks. DATE 2020: 1299-1302 - [c73]Marco Podda, Alessio Micheli, Davide Bacciu, Paolo Milazzo:
Biochemical Pathway Robustness Prediction with Graph Neural Networks. ESANN 2020: 121-126 - [c72]Federico Errica, Davide Bacciu, Alessio Micheli:
Theoretically Expressive and Edge-aware Graph Learning. ESANN 2020: 175-180 - [c71]Filippo Maria Bianchi, Claudio Gallicchio, Alessio Micheli:
Pyramidal Graph Echo State Networks. ESANN 2020: 573-578 - [c70]Claudio Gallicchio, Alessio Micheli, Antonio Sisbarra:
Simplifying Deep Reservoir Architectures. ESANN 2020: 579-584 - [c69]Miguel A. Atencia Ruiz, Claudio Gallicchio, Gonzalo Joya, Alessio Micheli:
Time Series Clustering with Deep Reservoir Computing. ICANN (2) 2020: 482-493 - [c68]Claudio Gallicchio, Alessio Micheli, Massimiliano Petri, Antonio Pratelli:
A Preliminary Investigation of Machine Learning Approaches for Mobility Monitoring from Smartphone Data. ICCSA (2) 2020: 218-227 - [c67]Federico Errica, Marco Podda, Davide Bacciu, Alessio Micheli:
A Fair Comparison of Graph Neural Networks for Graph Classification. ICLR 2020 - [c66]Claudio Gallicchio, Alessio Micheli:
Ring Reservoir Neural Networks for Graphs. IJCNN 2020: 1-7 - [c65]Daniele Di Sarli, Claudio Gallicchio, Alessio Micheli:
Gated Echo State Networks: a preliminary study. INISTA 2020: 1-5 - [p3]Claudio Gallicchio, Alessio Micheli, Luca Pedrelli:
Hierarchical Temporal Representation in Linear Reservoir Computing. Neural Advances in Processing Nonlinear Dynamic Signals 2020: 119-129 - [i20]Federico Errica, Davide Bacciu, Alessio Micheli:
Theoretically Expressive and Edge-aware Graph Learning. CoRR abs/2001.09005 (2020) - [i19]Davide Bacciu, Alessio Micheli, Marco Podda:
Edge-based sequential graph generation with recurrent neural networks. CoRR abs/2002.00102 (2020) - [i18]Rita Pucci, Alessio Micheli, Stefano Chessa, Jane Hunter:
Machine learning approaches for identifying prey handling activity in otariid pinnipeds. CoRR abs/2002.03866 (2020) - [i17]Marco Podda, Davide Bacciu, Alessio Micheli:
A Deep Generative Model for Fragment-Based Molecule Generation. CoRR abs/2002.12826 (2020) - [i16]Claudio Gallicchio, Alessio Micheli:
Ring Reservoir Neural Networks for Graphs. CoRR abs/2005.05294 (2020) - [i15]Federico Errica, Marco Giulini, Davide Bacciu, Roberto Menichetti, Alessio Micheli, Raffaello Potestio:
Accelerating the identification of informative reduced representations of proteins with deep learning for graphs. CoRR abs/2007.08658 (2020) - [i14]Federico Errica, Davide Bacciu, Alessio Micheli:
Graph Mixture Density Networks. CoRR abs/2012.03085 (2020)
2010 – 2019
- 2019
- [j34]Davide Bacciu, Maurizio Di Rocco, Mauro Dragone, Claudio Gallicchio, Alessio Micheli, Alessandro Saffiotti:
An ambient intelligence approach for learning in smart robotic environments. Comput. Intell. 35(4): 1060-1087 (2019) - [j33]Claudio Gallicchio, Alessio Micheli:
Deep Reservoir Neural Networks for Trees. Inf. Sci. 480: 174-193 (2019) - [j32]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:
Editorial: Booming of Neural Networks and Learning Systems. IEEE Trans. Neural Networks Learn. Syst. 30(1): 2-10 (2019) - [c64]Daniele Di Sarli, Claudio Gallicchio, Alessio Micheli:
Question Classification with Untrained Recurrent Embeddings. AI*IA 2019: 362-375 - [c63]Davide Bacciu, Alessio Micheli, Marco Podda:
Graph generation by sequential edge prediction. ESANN 2019 - [c62]Claudio Gallicchio, Alessio Micheli, Luca Pedrelli:
Comparison between DeepESNs and gated RNNs on multivariate time-series prediction. ESANN 2019 - [c61]Benjamin Paaßen, Claudio Gallicchio, Alessio Micheli, Alessandro Sperduti:
Embeddings and Representation Learning for Structured Data. ESANN 2019 - [c60]Giuseppe Franco, Luca Cerina, Claudio Gallicchio, Alessio Micheli, Marco Domenico Santambrogio:
Continuous Blood Pressure Estimation Through Optimized Echo State Networks. ICANN (Workshop) 2019: 48-61 - [c59]Claudio Gallicchio, Alessio Micheli:
Reservoir Topology in Deep Echo State Networks. ICANN (Workshop) 2019: 62-75 - [c58]Davide Bacciu, Alessio Micheli:
Deep Learning for Graphs. INNSBDDL (Tutorials) 2019: 99-127 - [c57]Claudio Gallicchio, Alessio Micheli, Luca Pedrelli:
Fast Spectral Radius Initialization for Recurrent Neural Networks. INNSBDDL 2019: 380-390 - [c56]Claudio Gallicchio, Alessio Micheli:
Richness of Deep Echo State Network Dynamics. IWANN (1) 2019: 480-491 - [i13]Claudio Gallicchio, Alessio Micheli:
Richness of Deep Echo State Network Dynamics. CoRR abs/1903.05174 (2019) - [i12]Benjamin Paaßen, Claudio Gallicchio, Alessio Micheli, Alessandro Sperduti:
Embeddings and Representation Learning for Structured Data. CoRR abs/1905.06147 (2019) - [i11]Claudio Gallicchio, Alessio Micheli:
Reservoir Topology in Deep Echo State Networks. CoRR abs/1909.11022 (2019) - [i10]Claudio Gallicchio, Alessio Micheli:
Fast and Deep Graph Neural Networks. CoRR abs/1911.08941 (2019) - [i9]Federico Errica, Marco Podda, Davide Bacciu, Alessio Micheli:
A Fair Comparison of Graph Neural Networks for Graph Classification. CoRR abs/1912.09893 (2019) - [i8]Davide Bacciu, Federico Errica, Alessio Micheli, Marco Podda:
A Gentle Introduction to Deep Learning for Graphs. CoRR abs/1912.12693 (2019) - 2018
- [j31]Claudio Gallicchio, Alessio Micheli, Luca Silvestri:
Local Lyapunov exponents of deep echo state networks. Neurocomputing 298: 34-45 (2018) - [j30]Claudio Gallicchio, Alessio Micheli, Luca Pedrelli:
Design of deep echo state networks. Neural Networks 108: 33-47 (2018) - [j29]Davide Bacciu, Alessio Micheli, Alessandro Sperduti:
Generative Kernels for Tree-Structured Data. IEEE Trans. Neural Networks Learn. Syst. 29(10): 4932-4946 (2018) - [c55]Claudio Gallicchio, Alessio Micheli, Luca Pedrelli:
Deep Echo State Networks for Diagnosis of Parkinson's Disease. ESANN 2018 - [c54]Claudio Gallicchio, Alessio Micheli, Peter Tiño:
Randomized Recurrent Neural Networks. ESANN 2018 - [c53]Daniele Di Sarli, Claudio Gallicchio, Alessio Micheli:
ITAmoji 2018: Emoji Prediction via Tree Echo State Networks. EVALITA@CLiC-it 2018 - [c52]Eleonora Di Gregorio, Claudio Gallicchio, Alessio Micheli:
Combining Memory and Non-linearity in Echo State Networks. ICANN (2) 2018: 556-566 - [c51]Davide Bacciu, Federico Errica, Alessio Micheli:
Contextual Graph Markov Model: A Deep and Generative Approach to Graph Processing. ICML 2018: 304-313 - [c50]Benjamin Paaßen, Claudio Gallicchio, Alessio Micheli, Barbara Hammer:
Tree Edit Distance Learning via Adaptive Symbol Embeddings. ICML 2018: 3973-3982 - [c49]Claudio Gallicchio, Alessio Micheli:
Why Layering in Recurrent Neural Networks? A DeepESN Survey. IJCNN 2018: 1-8 - [c48]Claudio Gallicchio, Alessio Micheli:
Deep Tree Echo State Networks. IJCNN 2018: 1-8 - [i7]Claudio Gallicchio, Alessio Micheli, Luca Pedrelli:
Deep Echo State Networks for Diagnosis of Parkinson's Disease. CoRR abs/1802.06708 (2018) - [i6]Davide Bacciu, Federico Errica, Alessio Micheli:
Contextual Graph Markov Model: A Deep and Generative Approach to Graph Processing. CoRR abs/1805.10636 (2018) - [i5]Benjamin Paaßen, Claudio Gallicchio, Alessio Micheli, Barbara Hammer:
Tree Edit Distance Learning via Adaptive Symbol Embeddings. CoRR abs/1806.05009 (2018) - [i4]Claudio Gallicchio, Alessio Micheli, Luca Pedrelli:
Comparison between DeepESNs and gated RNNs on multivariate time-series prediction. CoRR abs/1812.11527 (2018) - 2017
- [j28]Stefano Chessa, Alessio Micheli, Rita Pucci, Jane Hunter, Gemma Carroll, Rob Harcourt:
A Comparative Analysis of SVM and IDNN for Identifying Penguin Activities. Appl. Artif. Intell. 31(5-6): 453-471 (2017) - [j27]Claudio Gallicchio, Alessio Micheli:
Echo State Property of Deep Reservoir Computing Networks. Cogn. Comput. 9(3): 337-350 (2017) - [j26]Davide Bacciu, Stefano Chessa, Claudio Gallicchio, Alessio Micheli, Luca Pedrelli, Erina Ferro, Luigi Fortunati, Davide La Rosa, Filippo Palumbo, Federico Vozzi, Oberdan Parodi:
A learning system for automatic Berg Balance Scale score estimation. Eng. Appl. Artif. Intell. 66: 60-74 (2017) - [j25]Claudio Gallicchio, Alessio Micheli, Luca Pedrelli:
Deep reservoir computing: A critical experimental analysis. Neurocomputing 268: 87-99 (2017) - [j24]Filippo Palumbo, Davide La Rosa, Erina Ferro, Davide Bacciu, Claudio Gallicchio, Alessio Micheli, Stefano Chessa, Federico Vozzi, Oberdan Parodi:
Reliability and human factors in Ambient Assisted Living environments - The DOREMI case study. J. Reliab. Intell. Environ. 3(3): 139-157 (2017) - [c47]Claudio Gallicchio, Alessio Micheli:
Experimental Analysis of Deep Echo State Networks for Ambient Assisted Living. AI*AAL@AI*IA 2017: 44-57 - [c46]Claudio Gallicchio, José David Martín-Guerrero, Alessio Micheli, Emilio Soria-Olivas:
Randomized Machine Learning Approaches: Recent Developments and Challenges. ESANN 2017 - [c45]Claudio Gallicchio, Alessio Micheli, Luca Silvestri:
Local Lyapunov Exponents of Deep RNN. ESANN 2017 - [c44]Davide Bacciu, Stefano Chessa, Claudio Gallicchio, Alessio Micheli:
On the need of machine learning as a service for the internet of things. IML 2017: 22:1-22:8 - [i3]Claudio Gallicchio, Alessio Micheli, Luca Pedrelli:
Hierarchical Temporal Representation in Linear Reservoir Computing. CoRR abs/1705.05782 (2017) - [i2]Claudio Gallicchio, Alessio Micheli:
Deep Echo State Network (DeepESN): A Brief Survey. CoRR abs/1712.04323 (2017) - 2016
- [j23]Filippo Palumbo, Claudio Gallicchio, Rita Pucci, Alessio Micheli:
Human activity recognition using multisensor data fusion based on Reservoir Computing. J. Ambient Intell. Smart Environ. 8(2): 87-107 (2016) - [c43]Claudio Gallicchio, Alessio Micheli:
A Reservoir Computing Approach for Human Gesture Recognition from Kinect Data. AI*AAL@AI*IA 2016: 33-42 - [c42]Davide Bacciu, Claudio Gallicchio, Alessio Micheli:
A reservoir activation kernel for trees. ESANN 2016 - [c41]Mauro Dragone, Claudio Gallicchio, Roberto Guzmán, Alessio Micheli:
RSS-based Robot Localization in Critical Environments using Reservoir Computing. ESANN 2016 - [c40]Claudio Gallicchio, Alessio Micheli:
Deep Reservoir Computing: A Critical Analysis. ESANN 2016 - [c39]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:
Detecting Socialization Events in Ageing People: The Experience of the DOREMI Project. Intelligent Environments 2016: 132-135 - [c38]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:
A Benchmark Dataset for Human Activity Recognition and Ambient Assisted Living. ISAmI 2016: 1-9 - [d2]Davide Bacciu, Paolo Barsocchi, Stefano Chessa, Claudio Gallicchio, Alessio Micheli:
Indoor User Movement Prediction from RSS data. UCI Machine Learning Repository, 2016 - [d1]Filippo Palumbo, Claudio Gallicchio, Rita Pucci, Alessio Micheli:
Activity Recognition system based on Multisensor data fusion (AReM). UCI Machine Learning Repository, 2016 - 2015
- [j22]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:
A cognitive robotic ecology approach to self-configuring and evolving AAL systems. Eng. Appl. Artif. Intell. 45: 269-280 (2015) - [j21]Emanuele Crisostomi, Claudio Gallicchio, Alessio Micheli, Marco Raugi, Mauro Tucci:
Prediction of the Italian electricity price for smart grid applications. Neurocomputing 170: 286-295 (2015) - [j20]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:
Robotic Ubiquitous Cognitive Ecology for Smart Homes. J. Intell. Robotic Syst. 80(Supplement-1): 57-81 (2015) - [c37]Davide Bacciu, Stefano Chessa, Claudio Gallicchio, Alessio Micheli, Erina Ferro, Luigi Fortunati, Filippo Palumbo, Oberdan Parodi, Federico Vozzi, Sten Hanke, Johannes Kropf, Karl Kreiner:
Smart Environments and Context-Awareness for Lifestyle Management in a Healthy Active Ageing Framework. EPIA 2015: 54-66 - [c36]Davide Bacciu, Filippo Benedetti, Alessio Micheli:
ESNigma: efficient feature selection for echo state networks. ESANN 2015 - [c35]Marco Danelutto, Claudio Gallicchio, Alessio Micheli, Massimo Torquati, Daniele Virgilio:
Structured parallel implementation of Tree Echo State Network model selection. PARCO 2015: 145-154 - [c34]Claudio Gallicchio, Alessio Micheli, Luca Pedrelli, Luigi Fortunati, Federico Vozzi, Oberdan Parodi:
A Reservoir Computing Approach for Balance Assessment. AALTD@PKDD/ECML (Revised Selected Papers) 2015: 65-77 - [c33]Claudio Gallicchio, Alessio Micheli, Luca Pedrelli, Federico Vozzi, Oberdan Parodi:
Preliminary Experimental Analysis of Reservoir Computing Approach for Balance Assessment. AALTD@PKDD/ECML 2015 - 2014
- [j19]Davide Bacciu, Paolo Barsocchi, Stefano Chessa, Claudio Gallicchio, Alessio Micheli:
An experimental characterization of reservoir computing in ambient assisted living applications. Neural Comput. Appl. 24(6): 1451-1464 (2014) - [c32]Davide Bacciu, Alessio Micheli, Alessandro Sperduti:
Modeling Bi-directional Tree Contexts by Generative Transductions. ICONIP (1) 2014: 543-550 - [c31]Davide Bacciu, Claudio Gallicchio, Alessio Micheli, Maurizio Di Rocco, Alessandro Saffiotti:
Learning context-aware mobile robot navigation in home environments. IISA 2014: 57-62 - [c30]Davide Bacciu, Alessio Micheli, Alessandro Sperduti:
Integrating bi-directional contexts in a generative kernel for trees. IJCNN 2014: 4145-4151 - 2013
- [j18]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:
Italian Machine Learning and Data Mining research: The last years. Intelligenza Artificiale 7(2): 77-89 (2013) - [j17]Paolo Barsocchi, Stefano Chessa, Alessio Micheli, Claudio Gallicchio:
Forecast-Driven Enhancement of Received Signal Strength (RSS)-Based Localization Systems. ISPRS Int. J. Geo Inf. 2(4): 978-995 (2013) - [j16]Claudio Gallicchio, Alessio Micheli:
Tree Echo State Networks. Neurocomputing 101: 319-337 (2013) - [j15]Alessio Micheli, Frank-Michael Schleif, Peter Tiño:
Novel approaches in machine learning and computational intelligence. Neurocomputing 112: 1-3 (2013) - [j14]Davide Bacciu, Alessio Micheli, Alessandro Sperduti:
An input-output hidden Markov model for tree transductions. Neurocomputing 112: 34-46 (2013) - [j13]Davide Bacciu, Alessio Micheli, Alessandro Sperduti:
Compositional Generative Mapping for Tree-Structured Data - Part II: Topographic Projection Model. IEEE Trans. Neural Networks Learn. Syst. 24(2): 231-247 (2013) - [c29]Filippo Palumbo, Paolo Barsocchi, Claudio Gallicchio, Stefano Chessa, Alessio Micheli:
Multisensor Data Fusion for Activity Recognition Based on Reservoir Computing. EvAAL 2013: 24-35 - [c28]Davide Bacciu, Claudio Gallicchio, Alessandro Lenzi, Stefano Chessa, Alessio Micheli, Susanna Pelagatti, Claudio Vairo:
Distributed Neural Computation over WSN in Ambient Intelligence. ISAmI 2013: 147-154 - [c27]Stefano Chessa, Claudio Gallicchio, Roberto Guzmán, Alessio Micheli:
Robot Localization by Echo State Networks Using RSS. WIRN 2013: 147-154 - 2012
- [j12]Davide Bacciu, Alessio Micheli, Alessandro Sperduti:
Compositional Generative Mapping for Tree-Structured Data - Part I: Bottom-Up Probabilistic Modeling of Trees. IEEE Trans. Neural Networks Learn. Syst. 23(12): 1987-2002 (2012) - [c26]Davide Bacciu, Alessio Micheli, Alessandro Sperduti:
Input-Output Hidden Markov Models for trees. ESANN 2012 - [c25]Claudio Gallicchio, Alessio Micheli, Giulio Visco:
Constructive Reservoir Computation with Output Feedbacks for Structured Domains. ESANN 2012 - [c24]Davide Bacciu, Alessio Micheli, Alessandro Sperduti:
A Generative Multiset Kernel for Structured Data. ICANN (1) 2012: 57-64 - [c23]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:
Robotic UBIquitous COgnitive Network. ISAmI 2012: 191-195 - [c22]Davide Bacciu, Stefano Chessa, Claudio Gallicchio, Alessandro Lenzi, Alessio Micheli, Susanna Pelagatti:
A General Purpose Distributed Learning Model for Robotic Ecologies. SyRoCo 2012: 435-440 - [c21]Davide Bacciu, Stefano Chessa, Claudio Gallicchio, Alessio Micheli, Paolo Barsocchi:
An Experimental Evaluation of Reservoir Computation for Ambient Assisted Living. WIRN 2012: 41-50 - 2011
- [j11]Claudio Gallicchio, Alessio Micheli:
Architectural and Markovian factors of echo state networks. Neural Networks 24(5): 440-456 (2011) - [c20]Claudio Gallicchio, Alessio Micheli:
Exploiting vertices states in GraphESN by weighted nearest neighbor. ESANN 2011 - [c19]Davide Bacciu, Alessio Micheli, Alessandro Sperduti:
Adaptive tree kernel by multinomial generative topographic mapping. IJCNN 2011: 1651-1658 - [c18]Claudio Gallicchio, Alessio Micheli, Paolo Barsocchi, Stefano Chessa:
User Movements Forecasting by Reservoir Computing Using Signal Streams Produced by Mote-Class Sensors. MOBILIGHT 2011: 151-168 - [c17]Claudio Gallicchio, Alessio Micheli:
Supervised State Mapping of Clustered GraphESN States. WIRN 2011: 28-35 - 2010
- [c16]Claudio Gallicchio, Alessio Micheli:
A Markovian characterization of redundancy in echo state networks by PCA. ESANN 2010 - [c15]Claudio Gallicchio, Alessio Micheli:
TreeESN: a Preliminary Experimental Analysis. ESANN 2010 - [c14]Davide Bacciu, Alessio Micheli, Alessandro Sperduti:
Bottom-Up Generative Modeling of Tree-Structured Data. ICONIP (1) 2010: 660-668 - [c13]Davide Bacciu, Alessio Micheli, Alessandro Sperduti:
Compositional generative mapping of structured data. IJCNN 2010: 1-8 - [c12]Claudio Gallicchio, Alessio Micheli:
Graph Echo State Networks. IJCNN 2010: 1-8
2000 – 2009
- 2009
- [j10]Luca Nicotra, Alessio Micheli:
Modeling adaptive kernels from probabilistic phylogenetic trees. Artif. Intell. Medicine 45(2-3): 125-134 (2009) - [j9]Alessio Micheli:
Neural Network for Graphs: A Contextual Constructive Approach. IEEE Trans. Neural Networks 20(3): 498-511 (2009) - [p2]Alessio Micheli, Carlo Bertinetto, Celia Duce, Roberto Solaro, Maria Rosaria Tiné:
Recursive Neural Networks for Cheminformatics: QSPR for Polymeric Compounds (Towards Biomaterials Design). Computational Intelligence and Bioengineering 2009: 37-52 - [e1]Francesco Masulli, Alessio Micheli, Alessandro Sperduti:
Computational Intelligence and Bioengineering - Essays in Memory of Antonina Starita. Frontiers in Artificial Intelligence and Applications 196, IOS Press 2009, ISBN 978-1-60750-010-0 [contents] - 2007
- [c11]Alessio Micheli, Alessandro Sperduti:
Recursive Principal Component Analysis of Graphs. ICANN (2) 2007: 826-835 - [c10]Luca Nicotra, Alessio Micheli, Antonina Starita:
Generative Kernels for Gene Function Prediction Through Probabilistic Tree Models of Evolution. WILF 2007: 512-519 - [p1]Barbara Hammer, Alessio Micheli, Alessandro Sperduti:
Adaptive Contextual Processing of Structured Data by Recursive Neural Networks: A Survey of Computational Properties. Perspectives of Neural-Symbolic Integration 2007: 67-94 - [i1]Barbara Hammer, Alessio Micheli, Alessandro Sperduti:
A general framework for unsupervised preocessing of structured data. Probabilistic, Logical and Relational Learning - A Further Synthesis 2007 - 2006
- [j8]Luca Bernazzani, Celia Duce, Alessio Micheli, Vincenzo Mollica, Alessandro Sperduti, Antonina Starita, Maria Rosaria Tiné:
Predicting Physical-Chemical Properties of Compounds from Molecular Structures by Recursive Neural Networks. J. Chem. Inf. Model. 46(5): 2030-2042 (2006) - 2005
- [j7]Alessio Micheli, Filippo Portera, Alessandro Sperduti:
A preliminary empirical comparison of recursive neural networks and tree kernel methods on regression tasks for tree structured domains. Neurocomputing 64: 73-92 (2005) - [j6]Barbara Hammer, Alessio Micheli, Alessandro Sperduti:
Universal Approximation Capability of Cascade Correlation for Structures. Neural Comput. 17(5): 1109-1159 (2005) - [c9]Alessio Micheli, Antonio S. Sestito:
A New Neural Network Model for Contextual Processing of Graphs. WIRN/NAIS 2005: 10-17 - 2004
- [j5]Barbara Hammer, Alessio Micheli, Alessandro Sperduti, Marc Strickert:
A general framework for unsupervised processing of structured data. Neurocomputing 57: 3-35 (2004) - [j4]Barbara Hammer, Alessio Micheli, Alessandro Sperduti, Marc Strickert:
Recursive self-organizing network models. Neural Networks 17(8-9): 1061-1085 (2004) - [j3]Alessio Micheli, Diego Sona, Alessandro Sperduti:
Contextual processing of structured data by recursive cascade correlation. IEEE Trans. Neural Networks 15(6): 1396-1410 (2004) - [c8]Alessio Micheli, Filippo Portera, Alessandro Sperduti:
A preliminary experimental comparison of recursive neural networks and a tree kernel method for QSAR/QSPR regression tasks. ESANN 2004: 293-298 - [c7]Luca Nicotra, Alessio Micheli, Antonina Starita:
Fisher kernel for tree structured data. IJCNN 2004: 1917-1922 - [c6]Flavio Baronti, Valentina Maggini, Alessio Micheli, Alessandro Passaro, Anna Maria Rossi, Antonina Starita:
A Preliminary Investigation on Connecting Genotype to Oral Cancer Development through XCS. WIRN 2004: 11-19 - 2003
- [c5]Alessio Micheli, Diego Sona, Alessandro Sperduti:
Formal Determination of Context in Contextual Recursive Cascade Correlation Networks. ICANN 2003: 173-180 - [c4]Alessio Micheli, Filippo Portera, Alessandro Sperduti:
QSAR/QSPR Studies by Kernel Machines, Recursive Neural Networks and Their Integration. WIRN 2003: 308-315 - 2002
- [c3]Barbara Hammer, Alessio Micheli, Alessandro Sperduti:
A general framework for unsupervised processing of structured data. ESANN 2002: 389-394 - 2001
- [j2]Alessio Micheli, Alessandro Sperduti, Antonina Starita, Anna Maria Bianucci:
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. 41(2): 202-218 (2001) - 2000
- [j1]Anna Maria Bianucci, Alessio Micheli, Alessandro Sperduti, Antonina Starita:
Application of Cascade Correlation Networks for Structures to Chemistry. Appl. Intell. 12(1-2): 115-145 (2000) - [c2]Alessio Micheli, Diego Sona, Alessandro Sperduti:
Bi-Causal Recurrent Cascade Correlation. IJCNN (3) 2000: 3-8 - [c1]Ah Chung Tsoi, Markus Hagenbuchner, Alessio Micheli:
Building MLP Networks by Construction. IJCNN (4) 2000: 549-556
Coauthor Index
[c107] [j46] [c99] [c98] [d4] [i27] [c90] [c88] [c84] [c83] [c82] [c80] [i22] [j38] [j37] [j36] [c77] [c73] [c72] [c67] [i20] [i19] [i17] [i15] [i14] [j34] [c63] [c58] [i9] [i8] [j29] [c51] [i6] [j26] [j24] [c44] [c42] [c39] [c38] [d2] [j22] [j20] [c37] [c36] [j19] [c32] [c31] [c30] [j18] [j14] [j13] [c28] [j12] [c26] [c24] [c22] [c21] [c19] [c14] [c13]
[j51] [c107] [c102] [j48] [j45] [j44] [j43] [j40] [c93] [c91] [c89] [c88] [c82] [c81] [c80] [c79] [p4] [i24] [i23] [i22] [j39] [j35] [c78] [c74] [c71] [c70] [c69] [c68] [c66] [c65] [p3] [i16] [j34] [j33] [c64] [c62] [c61] [c60] [c59] [c57] [c56] [i13] [i12] [i11] [i10] [j31] [j30] [c55] [c54] [c53] [c52] [c50] [c49] [c48] [i7] [i5] [i4] [j27] [j26] [j25] [j24] [c47] [c46] [c45] [c44] [i3] [i2] [j23] [c43] [c42] [c41] [c40] [c39] [c38] [d2] [d1] [j22] [j21] [j20] [c37] [c35] [c34] [c33] [j19] [c31] [j17] [j16] [c29] [c28] [c27] [c25] [c22] [c21] [j11] [c20] [c18] [c17] [c16] [c15] [c12]
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