Davide Bacciu - RankMe

335 papers A* 14A 8B 57C 6Misc 6Journal 177Unranked 64

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Practical Guide to Streaming Continual Learning. CoRR Andrea Cossu, Federico Giannini, Giacomo Ziffer, Alessio Bernardo, Alexander Gepperth, Emanuele Della Valle, Barbara Hammer, Davide Bacciu
2026	J	`jnl`	A practical guide to streaming continual learning. Neurocomputing Andrea Cossu, Federico Giannini, Giacomo Ziffer, Alessio Bernardo, Alexander Gepperth, Emanuele Della Valle, Barbara Hammer, Davide Bacciu
2026	J	`jnl`	Boundary-Constrained Diffusion Models for Floorplan Generation: Balancing Realism and Diversity. CoRR Leonardo Stoppani, Davide Bacciu, Shahab Mokarizadeh
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	—	`conf`	JuriFindIT: an Italian legal retrieval dataset. EACL (Findings) Niko Dalla Noce, Davide Colla, Sina Farhang Doust, Lorenzo De Mattei, Davide Bacciu
2026	J	`jnl`	Learning and Transferring Physical Models through Derivatives. Trans. Mach. Learn. Res. Alessandro Trenta, Andrea Cossu, Davide Bacciu
2026	J	`jnl`	Sparse assemblies of recurrent neural networks with stability guarantees. Neurocomputing Andrea Ceni, Valerio De Caro, Davide Bacciu, Claudio Gallicchio
2025	J	`jnl`	Automatic Music Transcription using Convolutional Neural Networks and Constant-Q transform. CoRR Yohannis Telila, Tommaso Cucinotta, Davide Bacciu
2025	J	`jnl`	Can You Hear Me Now? A Benchmark for Long-Range Graph Propagation. CoRR Luca Miglior, Matteo Tolloso, Alessio Gravina, Davide Bacciu
2025	Misc	`conf`	CoEvolution: A Comprehensive Trustworthy Framework For Connected Machine Learning And Secure Interconnected AI Solutions. CSR Antonios Makris, Apostolos P. Fournaris, Anita Aghaie, Ioannis Arakas, Anna Maria Anaxagorou, Ioannis Arapakis, Davide Bacciu, Battista Biggio, Georgios Bouloukakis, Stavros Bouras, Arne Bröring, Antonio Carta, Marco Caselli, Olympia Giannakopoulou, Nikolaos Gkatzios, Alexandros Gkillas, Evangelos Haleplidis, Sotiris Ioannidis, Eleni-Maria Kalogeraki, Panagiotis Karantzias, Emmanouil Kritharakis, Aris S. Lalos, David Lenk, Stella Markopoulou, Entrit Metai, Andreas Miaoudakis, Haralambos Mouratidis, Jihane Najar, Theodor Panagiotakopoulos, Bernhard Peischl, Maura Pintor, Nikos Piperigkos, Vassilis Prevelakis, Carlos Segura, Georgios Spanoudakis, Orestis Tsirakis, Omar Veledar, Konstantinos Tserpes
2025	J	`jnl`	Combining Pre-Trained Models for Enhanced Feature Representation in Reinforcement Learning. CoRR Elia Piccoli, Malio Li, Giacomo Carfì, Vincenzo Lomonaco, Davide Bacciu
2025	J	`jnl`	ContinualFlow: Learning and Unlearning with Neural Flow Matching. CoRR Lorenzo Simone, Davide Bacciu, Shuangge Ma
2025	J	`jnl`	Credal Graph Neural Networks. CoRR Matteo Tolloso, Davide Bacciu
2025	J	`jnl`	Deferring Concept Bottleneck Models: Learning to Defer Interventions to Inaccurate Experts. CoRR Andrea Pugnana, Riccardo Massidda, Francesco Giannini, Pietro Barbiero, Mateo Espinosa Zarlenga, Roberto Pellungrini, Gabriele Dominici, Fosca Giannotti, Davide Bacciu
2025	C	`conf`	Direct Feedback Alignment for Recurrent Neural Networks. ISC Sara Folchini, Andrea Cossu, Andrea Ceni, Vincenzo Lomonaco, Davide Bacciu, Claudio Gallicchio
2025	J	`jnl`	ECG synthesis for cardiac arrhythmias: Integrating self-supervised learning and generative adversarial networks. Artif. Intell. Medicine Lorenzo Simone, Davide Bacciu, Vincenzo Gervasi
2025	J	`jnl`	ECLYPSE: a Python Framework for Simulation and Emulation of the Cloud-Edge Continuum. CoRR Jacopo Massa, Valerio De Caro, Stefano Forti, Patrizio Dazzi, Davide Bacciu, Antonio Brogi
2025	J	`jnl`	FAST: Similarity-based Knowledge Transfer for Efficient Policy Learning. CoRR Alessandro Capurso, Elia Piccoli, Davide Bacciu
2025	C	`conf`	Fast: Similarity-Based Knowledge Transfer for Efficient Policy Learning. CoG Alessandro Capurso, Elia Piccoli, Davide Bacciu
2025	J	`jnl`	GRAMA: Adaptive Graph Autoregressive Moving Average Models. CoRR Moshe Eliasof, Alessio Gravina, Andrea Ceni, Claudio Gallicchio, Davide Bacciu, Carola-Bibiane Schönlieb
2025	A*	`conf`	Graph Adaptive Autoregressive Moving Average Models. ICML Moshe Eliasof, Alessio Gravina, Andrea Ceni, Claudio Gallicchio, Davide Bacciu, Carola-Bibiane Schönlieb
2025	J	`jnl`	Graph Diffusion that can Insert and Delete. CoRR Matteo Ninniri, Marco Podda, Davide Bacciu
2025	J	`jnl`	HEIMDALL: a grapH-based sEIsMic Detector And Locator for microseismicity. CoRR Matteo Bagagli, Francesco Grigoli, Davide Bacciu
2025	J	`jnl`	Improving Long-Range Interactions in Graph Neural Simulators via Hamiltonian Dynamics. CoRR Tai Hoang, Alessandro Trenta, Alessio Gravina, Niklas Freymuth, Philipp Becker, Davide Bacciu, Gerhard Neumann
2025	J	`jnl`	Learning and Transferring Physical Models through Derivatives. CoRR Alessandro Trenta, Andrea Cossu, Davide Bacciu
2025	A	`conf`	Lifelong Evolution of Swarms. GECCO Lorenzo Leuzzi, Davide Bacciu, Sabine Hauert, Simon Jones, Andrea Cossu
2025	J	`jnl`	Lifelong Evolution of Swarms. CoRR Lorenzo Leuzzi, Simon Jones, Sabine Hauert, Davide Bacciu, Andrea Cossu
2025	J	`jnl`	Message-Passing State-Space Models: Improving Graph Learning with Modern Sequence Modeling. CoRR Andrea Ceni, Alessio Gravina, Claudio Gallicchio, Davide Bacciu, Carola-Bibiane Schönlieb, Moshe Eliasof
2025	B	`conf`	Non-Dissipative Graph Propagation for Non-Local Community Detection. IJCNN William Leeney, Alessio Gravina, Davide Bacciu
2025	J	`jnl`	Non-Dissipative Graph Propagation for Non-Local Community Detection. CoRR William Leeney, Alessio Gravina, Davide Bacciu
2025	A*	`conf`	On Oversquashing in Graph Neural Networks Through the Lens of Dynamical Systems. AAAI Alessio Gravina, Moshe Eliasof, Claudio Gallicchio, Davide Bacciu, Carola-Bibiane Schönlieb
2025	A*	`conf`	Port-Hamiltonian Architectural Bias for Long-Range Propagation in Deep Graph Networks. ICLR Simon Heilig, Alessio Gravina, Alessandro Trenta, Claudio Gallicchio, Davide Bacciu
2025	—	`ed.`	Proceedings of the AIxIA Doctoral Consortium 2024 co-located with the 23rd International Conference of the Italian Association for Artificial Intelligence (AIxIA 2024), Bolzano, Italy, November 25-28, 2024. DC@AI*IA Davide Bacciu, Ivan Donadello
2025	—	`conf`	Real-Time and Personalized Product Recommendations for Large E-Commerce Platforms. ICANN (3) Matteo Tolloso, Davide Bacciu, Shahab Mokarizadeh, Marco Varesi
2025	J	`jnl`	Real-time and personalized product recommendations for large e-commerce platforms. CoRR Matteo Tolloso, Davide Bacciu, Shahab Mokarizadeh, Marco Varesi
2025	J	`jnl`	Return of ChebNet: Understanding and Improving an Overlooked GNN on Long Range Tasks. CoRR Ali Hariri, Alvaro Arroyo, Alessio Gravina, Moshe Eliasof, Carola-Bibiane Schönlieb, Davide Bacciu, Kamyar Azizzadenesheli, Xiaowen Dong, Pierre Vandergheynst
2025	J	`jnl`	Towards Efficient Molecular Property Optimization with Graph Energy Based Models. CoRR Luca Miglior, Lorenzo Simone, Marco Podda, Davide Bacciu
2024	B	`conf`	ADLER - An efficient Hessian-based strategy for adaptive learning rate. ESANN Dario Balboni, Davide Bacciu
2024	J	`jnl`	Adaptive Hyperparameter Optimization for Continual Learning Scenarios. CoRR Rudy Semola, Julio Hurtado, Vincenzo Lomonaco, Davide Bacciu
2024	—	`conf`	Awareness in Robotics: An Early Perspective from the Viewpoint of the EIC Pathfinder Challenge "Awareness Inside". ERF (1) Cosimo Della Santina, Carlos Hernández Corbato, Burak Sisman, Luis A. Leiva, Ioannis Arapakis, Michalis Vakalellis, Jean Vanderdonckt, Luis Fernando D'Haro, Guido Manzi, Cristina Becchio, Aïda Elamrani, Mohsen Alirezaei, Ginevra Castellano, Dimos V. Dimarogonas, Arabinda Ghosh, Sofie Haesaert, Sadegh Soudjani, Sybert Stroeve, Paul F. M. J. Verschure, Davide Bacciu, Ophelia Deroy, Bahador Bahrami, Claudio Gallicchio, Sabine Hauert, Ricardo Sanz, Pablo Lanillos, Giovanni Iacca, Stephan Sigg, Manel Gasulla, Luc Steels, Carles Sierra
2024	J	`jnl`	Awareness in robotics: An early perspective from the viewpoint of the EIC Pathfinder Challenge "Awareness Inside". CoRR Cosimo Della Santina, Carlos Hernández Corbato, Burak Sisman, Luis A. Leiva, Ioannis Arapakis, Michalis Vakalellis, Jean Vanderdonckt, Luis Fernando D'Haro, Guido Manzi, Cristina Becchio, Aïda Elamrani, Mohsen Alirezaei, Ginevra Castellano, Dimos V. Dimarogonas, Arabinda Ghosh, Sofie Haesaert, Sadegh Soudjani, Sybert Stroeve, Paul F. M. J. Verschure, Davide Bacciu, Ophelia Deroy, Bahador Bahrami, Claudio Gallicchio, Sabine Hauert, Ricardo Sanz, Pablo Lanillos, Giovanni Iacca, Stephan Sigg, Manel Gasulla, Luc Steels, Carles Sierra
2024	—	`conf`	Calibration of Continual Learning Models. CVPR Workshops Lanpei Li, Elia Piccoli, Andrea Cossu, Davide Bacciu, Vincenzo Lomonaco
2024	J	`jnl`	Calibration of Continual Learning Models. CoRR Lanpei Li, Elia Piccoli, Andrea Cossu, Davide Bacciu, Vincenzo Lomonaco
2024	B	`conf`	ChemAlgebra: Algebraic Reasoning on Chemical Reactions. IJCNN Andrea Valenti, Davide Bacciu, Antonio Vergari
2024	—	`conf`	Classifier-Free Graph Diffusion for Molecular Property Targeting. ECML/PKDD (4) Matteo Ninniri, Marco Podda, Davide Bacciu
2024	A*	`conf`	Constraint-Free Structure Learning with Smooth Acyclic Orientations. ICLR Riccardo Massidda, Francesco Landolfi, Martina Cinquini, Davide Bacciu
2024	J	`jnl`	Continual pre-training mitigates forgetting in language and vision. Neural Networks Andrea Cossu, Antonio Carta, Lucia C. Passaro, Vincenzo Lomonaco, Tinne Tuytelaars, Davide Bacciu
2024	J	`jnl`	Deep Graph Networks for Drug Repurposing With Multi-Protein Targets. IEEE Trans. Emerg. Top. Comput. Davide Bacciu, Federico Errica, Alessio Gravina, Lorenzo Madeddu, Marco Podda, Giovanni Stilo
2024	J	`jnl`	Deep Learning for Dynamic Graphs: Models and Benchmarks. IEEE Trans. Neural Networks Learn. Syst. Alessio Gravina, Davide Bacciu
2024	J	`jnl`	Drifting explanations in continual learning. Neurocomputing Andrea Cossu, Francesco Spinnato, Riccardo Guidotti, Davide Bacciu
2024	—	`conf`	EMERGE - Emergent Awareness from Minimal Collectives. ERF (1) Davide Bacciu, Vincenzo Ambriola, Bahador Bahrami, Andrea Ceni, Andrea Cossu, Valerio De Caro, Cosimo Della Santina, Ophelia Deroy, Claudio Gallicchio, Riccardo Guidotti, Sabine Hauert, Simon Jones, Jurgis Karpus, Suet Lee, Jingyue Liu, Vincenzo Lomonaco, Nadine Meertens, Emma Milner, Anna Monreale, Renan Picoreti Nakahara, Mariano Ramírez Montero, Ebrahim Shahabi, Maximilian Stölzle
2024	B	`conf`	Enhancing Echo State Networks with Gradient-based Explainability Methods. ESANN Francesco Spinnato, Andrea Cossu, Riccardo Guidotti, Andrea Ceni, Claudio Gallicchio, Davide Bacciu
2024	J	`jnl`	Extending OpenStack Monasca for Predictive Elasticity Control. Big Data Min. Anal. Giacomo Lanciano, Filippo Galli, Tommaso Cucinotta, Davide Bacciu, Andrea Passarella
2024	B	`conf`	Generalizing Convolution to Point Clouds. ESANN Davide Bacciu, Francesco Landolfi
2024	C	`conf`	I Know How: Combining Prior Policies to Solve New Tasks. CoG Malio Li, Elia Piccoli, Vincenzo Lomonaco, Davide Bacciu
2024	J	`jnl`	I Know How: Combining Prior Policies to Solve New Tasks. CoRR Malio Li, Elia Piccoli, Vincenzo Lomonaco, Davide Bacciu
2024	J	`jnl`	IEEE Transactions on Neural Networks and Learning Systems Special Issue on Causal Discovery and Causality-Inspired Machine Learning. IEEE Trans. Neural Networks Learn. Syst. Kun Zhang, Ilya Shpitser, Sara Magliacane, Davide Bacciu, Fei Wu, Changshui Zhang, Peter Spirtes
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`	Injecting Hamiltonian Architectural Bias into Deep Graph Networks for Long-Range Propagation. CoRR Simon Heilig, Alessio Gravina, Alessandro Trenta, Claudio Gallicchio, Davide Bacciu
2024	B	`conf`	Large-Scale Continuous Structure Learning from Time-Series Data. ESANN Filippo Michelis, Riccardo Massidda, Davide Bacciu
2024	A	`conf`	Learning Causal Abstractions of Linear Structural Causal Models. UAI Riccardo Massidda, Sara Magliacane, Davide Bacciu
2024	J	`jnl`	Learning Causal Abstractions of Linear Structural Causal Models. CoRR Riccardo Massidda, Sara Magliacane, Davide Bacciu
2024	A*	`conf`	Long Range Propagation on Continuous-Time Dynamic Graphs. ICML Alessio Gravina, Giulio Lovisotto, Claudio Gallicchio, Davide Bacciu, Claas Grohnfeldt
2024	J	`jnl`	Long Range Propagation on Continuous-Time Dynamic Graphs. CoRR Alessio Gravina, Giulio Lovisotto, Claudio Gallicchio, Davide Bacciu, Claas Grohnfeldt
2024	B	`conf`	Multi-Relational Graph Neural Network for Out-of-Domain Link Prediction. IJCNN Asma Sattar, Georgios Deligiorgis, Marco Trincavelli, Davide Bacciu
2024	J	`jnl`	Multi-Relational Graph Neural Network for Out-of-Domain Link Prediction. CoRR Asma Sattar, Georgios Deligiorgis, Marco Trincavelli, Davide Bacciu
2024	J	`jnl`	MultiSTOP: Solving Functional Equations with Reinforcement Learning. CoRR Alessandro Trenta, Davide Bacciu, Andrea Cossu, Pietro Ferrero
2024	J	`jnl`	Neural Autoencoder-Based Structure-Preserving Model Order Reduction and Control Design for High-Dimensional Physical Systems. IEEE Control. Syst. Lett. Marco Lepri, Davide Bacciu, Cosimo Della Santina
2024	J	`jnl`	Projected Latent Distillation for Data-Agnostic Consolidation in distributed continual learning. Neurocomputing Antonio Carta, Andrea Cossu, Vincenzo Lomonaco, Davide Bacciu, Joost van de Weijer
2024	—	`conf`	Quasi-Orthogonal ECG-Frank XYZ Transformation with Energy-Based Models and Clinical Text. AIME (2) Lorenzo Simone, Davide Bacciu, Vincenzo Gervasi
2024	A	`conf`	Random Oscillators Network for Time Series Processing. AISTATS Andrea Ceni, Andrea Cossu, Maximilian W. Stölzle, Jingyue Liu, Cosimo Della Santina, Davide Bacciu, Claudio Gallicchio
2024	—	`conf`	Self-generated Replay Memories for Continual Neural Machine Translation. NAACL-HLT Michele Resta, Davide Bacciu
2024	J	`jnl`	Self-generated Replay Memories for Continual Neural Machine Translation. CoRR Michele Resta, Davide Bacciu
2024	B	`conf`	Sequential Continual Pre-Training for Neural Machine Translation. ESANN Niko Dalla Noce, Michele Resta, Davide Bacciu
2024	J	`jnl`	Shared Awareness Across Domain-Specific Artificial Intelligence: An Alternative to Domain-General Intelligence and Artificial Consciousness. Adv. Intell. Syst. Ophelia Deroy, Davide Bacciu, Bahador Bahrami, Cosimo Della Santina, Sabine Hauert
2024	—	`conf`	Sparse Reservoir Topologies for Physical Implementations of Random Oscillators Networks. AIMLSystems Andrea Cossu, Andrea Ceni, Davide Bacciu, Claudio Gallicchio
2024	A	`conf`	TEACHING Platform for Human-Centric Autonomous Applications: Design and Overview. HPDC Valerio De Caro, Christos Chronis, Massimo Coppola, Vincenzo Lomonaco, Claudio Gallicchio, Konstantinos Tserpes, Davide Bacciu
2024	J	`jnl`	Tackling Graph Oversquashing by Global and Local Non-Dissipativity. CoRR Alessio Gravina, Moshe Eliasof, Claudio Gallicchio, Davide Bacciu, Carola-Bibiane Schönlieb
2024	A*	`conf`	Temporal Graph ODEs for Irregularly-Sampled Time Series. IJCAI Alessio Gravina, Daniele Zambon, Davide Bacciu, Cesare Alippi
2024	J	`jnl`	Temporal Graph ODEs for Irregularly-Sampled Time Series. CoRR Alessio Gravina, Daniele Zambon, Davide Bacciu, Cesare Alippi
2024	—	`conf`	Towards Forecasting Bus Arrival Thorough A Model Based On GNN+LSTM Using GTFS and Real-time Data. AIMLSystems Pedro Pongelupe Lopes, Gerlando Gramaglia, Davide Bacciu, Humberto T. Marques-Neto
2023	J	`jnl`	A 2-Phase Strategy for Intelligent Cloud Operations. IEEE Access Giacomo Lanciano, Remo Andreoli, Tommaso Cucinotta, Davide Bacciu, Andrea Passarella
2023	B	`conf`	A Protocol for Continual Explanation of SHAP. ESANN Andrea Cossu, Francesco Spinnato, Riccardo Guidotti, Davide Bacciu
2023	J	`jnl`	A Protocol for Continual Explanation of SHAP. CoRR Andrea Cossu, Francesco Spinnato, Riccardo Guidotti, Davide Bacciu
2023	B	`conf`	A Tropical View of Graph Neural Networks. ESANN Francesco Landolfi, Davide Bacciu, Danilo Numeroso
2023	J	`jnl`	ADLER - An efficient Hessian-based strategy for adaptive learning rate. CoRR Dario Balboni, Davide Bacciu
2023	—	`conf`	AI-Toolkit: A Microservices Architecture for Low-Code Decentralized Machine Intelligence. ICASSP Workshops Vincenzo Lomonaco, Valerio De Caro, Claudio Gallicchio, Antonio Carta, Christos Sardianos, Iraklis Varlamis, Konstantinos Tserpes, Massimo Coppola, Mina Marmpena, Sevasti Politi, Erwin Schoitsch, Davide Bacciu
2023	—	`conf`	Adaptive Hyperparameter Optimization for Continual Learning Scenarios. CLAI Unconf Rudy Semola, Julio Hurtado, Vincenzo Lomonaco, Davide Bacciu
2023	A*	`conf`	Anti-Symmetric DGN: a stable architecture for Deep Graph Networks. ICLR Alessio Gravina, Davide Bacciu, Claudio Gallicchio
2023	—	`conf`	Automatic Music Transcription using Convolutional Neural Networks and Constant-Q Transform. Ital-IA Yohannis Telila, Tommaso Cucinotta, Davide Bacciu
2023	—	`conf`	CD-IMM: The Benefits of Domain-based Mixture Models in Bayesian Continual Learning. CLAI Unconf Daniele Castellana, Antonio Carta, Davide Bacciu
2023	—	`conf`	Causal Abstraction with Soft Interventions. CLeaR Riccardo Massidda, Atticus Geiger, Thomas Icard, Davide Bacciu
2023	—	`conf`	Class-Incremental Learning with Repetition. CoLLAs Hamed Hemati, Andrea Cossu, Antonio Carta, Julio Hurtado, Lorenzo Pellegrini, Davide Bacciu, Vincenzo Lomonaco, Damian Borth
2023	J	`jnl`	Class-Incremental Learning with Repetition. CoRR Hamed Hemati, Andrea Cossu, Antonio Carta, Julio Hurtado, Lorenzo Pellegrini, Davide Bacciu, Vincenzo Lomonaco, Damian Borth
2023	J	`jnl`	Classifier-free graph diffusion for molecular property targeting. CoRR Matteo Ninniri, Marco Podda, Davide Bacciu
2023	B	`conf`	Communication-Efficient Ridge Regression in Federated Echo State Networks. ESANN Valerio De Caro, Antonio Di Mauro, Davide Bacciu, Claudio Gallicchio
2023	J	`jnl`	Constraint-Free Structure Learning with Smooth Acyclic Orientations. CoRR Riccardo Massidda, Francesco Landolfi, Martina Cinquini, Davide Bacciu
2023	J	`jnl`	Continual adaptation of federated reservoirs in pervasive environments. Neurocomputing Valerio De Caro, Claudio Gallicchio, Davide Bacciu
2023	J	`jnl`	Deep learning for dynamic graphs: models and benchmarks. CoRR Alessio Gravina, Davide Bacciu
2023	A*	`conf`	Dual Algorithmic Reasoning. ICLR Danilo Numeroso, Davide Bacciu, Petar Velickovic
2023	J	`jnl`	Dual Algorithmic Reasoning. CoRR Danilo Numeroso, Davide Bacciu, Petar Velickovic
2023	B	`conf`	ECGAN: Self-supervised Generative Adversarial Network for Electrocardiography. AIME Lorenzo Simone, Davide Bacciu
2023	J	`jnl`	ECGAN: Self-supervised generative adversarial network for electrocardiography. CoRR Lorenzo Simone, Davide Bacciu
2023	J	`jnl`	Explaining Deep Graph Networks via Input Perturbation. IEEE Trans. Neural Networks Learn. Syst. Davide Bacciu, Danilo Numeroso
2023	A*	`conf`	Generalizing Downsampling from Regular Data to Graphs. AAAI Davide Bacciu, Alessio Conte, Francesco Landolfi
2023	J	`jnl`	Graph Neural Network for Context-Aware Recommendation. Neural Process. Lett. Asma Sattar, Davide Bacciu
2023	B	`conf`	Graph Representation Learning. ESANN Davide Bacciu, Federico Errica, Alessio Micheli, Nicolò Navarin, Luca Pasa, Marco Podda, Daniele Zambon
2023	—	`conf`	Graph-based Polyphonic Multitrack Music Generation. CREAI@AI*IA Emanuele Cosenza, Andrea Valenti, Davide Bacciu
2023	A*	`conf`	Graph-based Polyphonic Multitrack Music Generation. IJCAI Emanuele Cosenza, Andrea Valenti, Davide Bacciu
2023	J	`jnl`	Graph-based Polyphonic Multitrack Music Generation. CoRR Emanuele Cosenza, Andrea Valenti, Davide Bacciu
2023	B	`conf`	Hidden Markov Models for Temporal Graph Representation Learning. ESANN Federico Errica, Alessio Gravina, Davide Bacciu, Alessio Micheli
2023	B	`conf`	Improving Fairness via Intrinsic Plasticity in Echo State Networks. ESANN Andrea Ceni, Davide Bacciu, Valerio De Caro, Claudio Gallicchio, Luca Oneto
2023	—	`ed.`	Joint Proceedings of the 1st International Workshop on Computational Intelligence for Process Mining (CI4PM 2022) and the 1st International Workshop on Pervasive Artificial Intelligence (PAI 2022), co-located with the IEEE World Congress on Computational Intelligence (WCCI 2022), Padua, Italy, July 18-23, 2022. CI4PM/PAI@WCCI Marco Pegoraro, Davide Bacciu, Andrea Burattin, Antonio Carta, Patrizio Dazzi, Massimiliano de Leoni, Magdalini Eirinaki, Iraklis Varlamis
2023	—	`conf`	Memory Population in Continual Learning via Outlier Elimination. ICCV (Workshops) Julio Hurtado, Alain Raymond-Saez, Vladimir Araujo, Vincenzo Lomonaco, Alvaro Soto, Davide Bacciu
2023	J	`jnl`	Modeling Edge Features with Deep Bayesian Graph Networks. CoRR Daniele Atzeni, Federico Errica, Davide Bacciu, Alessio Micheli
2023	J	`jnl`	Modeling Mood Polarity and Declaration Occurrence by Neural Temporal Point Processes. IEEE Trans. Neural Networks Learn. Syst. Davide Bacciu, Davide Morelli, Vlad Pandelea
2023	—	`conf`	Neural Algorithmic Reasoning for Combinatorial Optimisation. LoG Dobrik Georgiev, Danilo Numeroso, Davide Bacciu, Pietro Lio
2023	J	`jnl`	Neural Algorithmic Reasoning for Combinatorial Optimisation. CoRR Dobrik Georgiev, Danilo Numeroso, Davide Bacciu, Pietro Liò
2023	J	`jnl`	Neural Autoencoder-Based Structure-Preserving Model Order Reduction and Control Design for High-Dimensional Physical Systems. CoRR Marco Lepri, Davide Bacciu, Cosimo Della Santina
2023	—	`conf`	Non-dissipative Propagation by Randomized Anti-symmetric Deep Graph Networks. PKDD/ECML Workshops (5) Alessio Gravina, Claudio Gallicchio, Davide Bacciu
2023	—	`conf`	Partial Hypernetworks for Continual Learning. CoLLAs Hamed Hemati, Vincenzo Lomonaco, Davide Bacciu, Damian Borth
2023	J	`jnl`	Partial Hypernetworks for Continual Learning. CoRR Hamed Hemati, Vincenzo Lomonaco, Davide Bacciu, Damian Borth
2023	—	`conf`	Prediction of Driver's Stress Affection in Simulated Autonomous Driving Scenarios. ICASSP Workshops Valerio De Caro, Herbert Danzinger, Claudio Gallicchio, Clemens Könczöl, Vincenzo Lomonaco, Mina Marmpena, Sevasti Politi, Omar Veledar, Davide Bacciu
2023	J	`jnl`	Projected Latent Distillation for Data-Agnostic Consolidation in Distributed Continual Learning. CoRR Antonio Carta, Andrea Cossu, Vincenzo Lomonaco, Davide Bacciu, Joost van de Weijer
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	—	`conf`	Safety and Robustness for Deep Neural Networks: An Automotive Use Case. SAFECOMP Workshops Davide Bacciu, Antonio Carta, Claudio Gallicchio, Christoph Schmittner
2023	—	`conf`	TEACHING: A Computing Toolkit for Building Efficient Autonomous appliCations Leveraging Humanistic INtelliGence. FRAME@HPDC Davide Bacciu, Konstantinos Tserpes, Massimo Coppola, Georg Macher, Claudio Gallicchio, Omar Veledar, Anna Maria Anaxagorou, Patrizio Dazzi
2022	J	`jnl`	A Systematic Review of Wi-Fi and Machine Learning Integration with Topic Modeling Techniques. Sensors Daniele Atzeni, Davide Bacciu, Daniele Mazzei, Giuseppe Prencipe
2022	J	`jnl`	A tensor framework for learning in structured domains. Neurocomputing Daniele Castellana, Davide Bacciu
2022	—	`conf`	AI-as-a-Service Toolkit for Human-Centered Intelligence in Autonomous Driving. PerCom Workshops Valerio De Caro, Saira Bano, Achilles Machumilane, Alberto Gotta, Pietro Cassarà, Antonio Carta, Rudy Semola, Christos Sardianos, Christos Chronis, Iraklis Varlamis, Konstantinos Tserpes, Vincenzo Lomonaco, Claudio Gallicchio, Davide Bacciu
2022	J	`jnl`	AI-as-a-Service Toolkit for Human-Centered Intelligence in Autonomous Driving. CoRR Valerio De Caro, Saira Bano, Achilles Machumilane, Alberto Gotta, Pietro Cassarà, Antonio Carta, Rudy Semola, Christos Sardianos, Christos Chronis, Iraklis Varlamis, Konstantinos Tserpes, Vincenzo Lomonaco, Claudio Gallicchio, Davide Bacciu
2022	A	`conf`	An Empirical Verification of Wide Networks Theory. BMVC Dario Balboni, Davide Bacciu
2022	J	`jnl`	Anti-Symmetric DGN: a stable architecture for Deep Graph Networks. CoRR Alessio Gravina, Davide Bacciu, Claudio Gallicchio
2022	—	`conf`	Avalanche RL: A Continual Reinforcement Learning Library. ICIAP (1) Nicolò Lucchesi, Antonio Carta, Vincenzo Lomonaco, Davide Bacciu
2022	J	`jnl`	Catastrophic Forgetting in Deep Graph Networks: A Graph Classification Benchmark. Frontiers Artif. Intell. Antonio Carta, Andrea Cossu, Federico Errica, Davide Bacciu
2022	J	`jnl`	Causal Abstraction with Soft Interventions. CoRR Riccardo Massidda, Atticus Geiger, Thomas Icard, Davide Bacciu
2022	J	`jnl`	ChemAlgebra: Algebraic Reasoning on Chemical Reactions. CoRR Andrea Valenti, Davide Bacciu, Antonio Vergari
2022	B	`conf`	Continual Incremental Language Learning for Neural Machine Translation. ESANN Michele Resta, Davide Bacciu
2022	B	`conf`	Continual Learning for Human State Monitoring. ESANN Federico Matteoni, Andrea Cossu, Claudio Gallicchio, Vincenzo Lomonaco, Davide Bacciu
2022	J	`jnl`	Continual Learning for Human State Monitoring. CoRR Federico Matteoni, Andrea Cossu, Claudio Gallicchio, Vincenzo Lomonaco, Davide Bacciu
2022	J	`jnl`	Continual Pre-Training Mitigates Forgetting in Language and Vision. CoRR Andrea Cossu, Tinne Tuytelaars, Antonio Carta, Lucia C. Passaro, Vincenzo Lomonaco, Davide Bacciu
2022	—	`conf`	Continual-Learning-as-a-Service (CLaaS): On-Demand Efficient Adaptation of Predictive Models. CI4PM/PAI@WCCI Rudy Semola, Vincenzo Lomonaco, Davide Bacciu
2022	J	`jnl`	Continual-Learning-as-a-Service (CLaaS): On-Demand Efficient Adaptation of Predictive Models. CoRR Rudy Semola, Vincenzo Lomonaco, Davide Bacciu
2022	J	`jnl`	Controlling astrocyte-mediated synaptic pruning signals for schizophrenia drug repurposing with deep graph networks. PLoS Comput. Biol. Alessio Gravina, Jennifer L. Wilson, Davide Bacciu, Kevin Grimes, Corrado Priami
2022	C	`conf`	Deep Features for CBIR with Scarce Data using Hebbian Learning. CBMI Gabriele Lagani, Davide Bacciu, Claudio Gallicchio, Fabrizio Falchi, Claudio Gennaro, Giuseppe Amato
2022	J	`jnl`	Deep Features for CBIR with Scarce Data using Hebbian Learning. CoRR Gabriele Lagani, Davide Bacciu, Claudio Gallicchio, Fabrizio Falchi, Claudio Gennaro, Giuseppe Amato
2022	B	`conf`	Deep Learning for Graphs. ESANN Davide Bacciu, Federico Errica, Nicolò Navarin, Luca Pasa, Daniele Zambon
2022	Misc	`conf`	Deep Reinforcement Learning Quantum Control on IBMQ Platforms and Qiskit Pulse. QCE Rudy Semola, Lorenzo Moro, Davide Bacciu, Enrico Prati
2022	—	`conf`	Ex-Model: Continual Learning from a Stream of Trained Models. CVPR Workshops Antonio Carta, Andrea Cossu, Vincenzo Lomonaco, Davide Bacciu
2022	J	`jnl`	FADER: Fast adversarial example rejection. Neurocomputing Francesco Crecchi, Marco Melis, Angelo Sotgiu, Davide Bacciu, Battista Biggio
2022	B	`conf`	Federated Adaptation of Reservoirs via Intrinsic Plasticity. ESANN Valerio De Caro, Claudio Gallicchio, Davide Bacciu
2022	J	`jnl`	Federated Adaptation of Reservoirs via Intrinsic Plasticity. CoRR Valerio De Caro, Claudio Gallicchio, Davide Bacciu
2022	J	`jnl`	Graph Pooling with Maximum-Weight k-Independent Sets. CoRR Davide Bacciu, Alessio Conte, Francesco Landolfi
2022	J	`jnl`	Inductive-transductive learning for very sparse fashion graphs. Neurocomputing Haris Dukic, Shahab Mokarizadeh, Georgios Deligiorgis, Pierpaolo Sepe, Davide Bacciu, Marco Trincavelli
2022	J	`jnl`	Is Class-Incremental Enough for Continual Learning? Frontiers Artif. Intell. Andrea Cossu, Gabriele Graffieti, Lorenzo Pellegrini, Davide Maltoni, Davide Bacciu, Antonio Carta, Vincenzo Lomonaco
2022	J	`jnl`	It's all About Consistency: A Study on Memory Composition for Replay-Based Methods in Continual Learning. CoRR Julio Hurtado, Alain Raymond-Saez, Vladimir Araujo, Vincenzo Lomonaco, Davide Bacciu
2022	—	`conf`	Knowledge-Driven Interpretation of Convolutional Neural Networks. ECML/PKDD (1) Riccardo Massidda, Davide Bacciu
2022	C	`conf`	Learning Image Captioning as a Structured Transduction Task. EANN Davide Bacciu, Davide Serramazza
2022	J	`jnl`	Learning With Few Examples the Semantic Description of Novel Human-Inspired Grasp Strategies From RGB Data. IEEE Robotics Autom. Lett. Lorenzo Collodi, Davide Bacciu, Matteo Bianchi, Giuseppe Averta
2022	J	`jnl`	Learning heuristics for A. CoRR Danilo Numeroso, Davide Bacciu, Petar Velickovic
2022	J	`jnl`	Learning to Prevent Grasp Failure with Soft Hands: From Online Prediction to Dual-Arm Grasp Recovery. Adv. Intell. Syst. Giuseppe Averta, Federica Barontini, Irene Valdambrini, Paolo Cheli, Davide Bacciu, Matteo Bianchi
2022	B	`conf`	Leveraging Relational Information for Learning Weakly Disentangled Representations. IJCNN Andrea Valenti, Davide Bacciu
2022	J	`jnl`	Leveraging Relational Information for Learning Weakly Disentangled Representations. CoRR Andrea Valenti, Davide Bacciu
2022	B	`conf`	Modular Representations for Weak Disentanglement. ESANN Andrea Valenti, Davide Bacciu
2022	J	`jnl`	Modular Representations for Weak Disentanglement. CoRR Andrea Valenti, Davide Bacciu
2022	—	`conf`	Practical Recommendations for Replay-Based Continual Learning Methods. ICIAP Workshops Gabriele Merlin, Vincenzo Lomonaco, Andrea Cossu, Antonio Carta, Davide Bacciu
2022	J	`jnl`	Practical Recommendations for Replay-based Continual Learning Methods. CoRR Gabriele Merlin, Vincenzo Lomonaco, Andrea Cossu, Antonio Carta, Davide Bacciu
2022	B	`conf`	Sample Condensation in Online Continual Learning. IJCNN Mattia Sangermano, Antonio Carta, Andrea Cossu, Davide Bacciu
2022	J	`jnl`	Sample Condensation in Online Continual Learning. CoRR Mattia Sangermano, Antonio Carta, Andrea Cossu, Davide Bacciu
2022	J	`jnl`	Studying the impact of magnitude pruning on contrastive learning methods. CoRR Francesco Corti, Rahim Entezari, Sara Hooker, Davide Bacciu, Olga Saukh
2022	A*	`conf`	The Infinite Contextual Graph Markov Model. ICML Daniele Castellana, Federico Errica, Davide Bacciu, Alessio Micheli
2022	J	`jnl`	Topographic mapping for quality inspection and intelligent filtering of smart-bracelet data. Neural Comput. Appl. Davide Bacciu, Gioele Bertoncini, Davide Morelli
2021	J	`jnl`	A causal learning framework for the analysis and interpretation of COVID-19 clinical data. CoRR Elisa Ferrari, Luna Gargani, Greta Barbieri, Lorenzo Ghiadoni, Francesco Faita, Davide Bacciu
2021	J	`jnl`	AI & COVID-19. Intelligenza Artificiale Davide Bacciu, Emanuela Girardi, Marco Maratea, Jose Sousa
2021	J	`jnl`	Addressing Fairness, Bias and Class Imbalance in Machine Learning: the FBI-loss. CoRR Elisa Ferrari, Davide Bacciu
2021	—	`conf`	Avalanche: An End-to-End Library for Continual Learning. CVPR Workshops Vincenzo Lomonaco, Lorenzo Pellegrini, Andrea Cossu, Antonio Carta, Gabriele Graffieti, Tyler L. Hayes, Matthias De Lange, Marc Masana, Jary Pomponi, Gido M. van de Ven, Martin Mundt, Qi She, Keiland W. Cooper, Jeremy Forest, Eden Belouadah, Simone Calderara, German Ignacio Parisi, Fabio Cuzzolin, Andreas S. Tolias, Simone Scardapane, Luca Antiga, Subutai Ahmad, Adrian Popescu, Christopher Kanan, Joost van de Weijer, Tinne Tuytelaars, Davide Bacciu, Davide Maltoni
2021	J	`jnl`	Avalanche: an End-to-End Library for Continual Learning. CoRR Vincenzo Lomonaco, Lorenzo Pellegrini, Andrea Cossu, Antonio Carta, Gabriele Graffieti, Tyler L. Hayes, Matthias De Lange, Marc Masana, Jary Pomponi, Gido M. van de Ven, Martin Mundt, Qi She, Keiland W. Cooper, Jeremy Forest, Eden Belouadah, Simone Calderara, German Ignacio Parisi, Fabio Cuzzolin, Andreas S. Tolias, Simone Scardapane, Luca Antiga, Subutai Amhad, Adrian Popescu, Christopher Kanan, Joost van de Weijer, Tinne Tuytelaars, Davide Bacciu, Davide Maltoni
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`	Calliope - A Polyphonic Music Transformer. ESANN Andrea Valenti, Stefano Berti, Davide Bacciu
2021	J	`jnl`	Calliope - A Polyphonic Music Transformer. CoRR Andrea Valenti, Stefano Berti, Davide Bacciu
2021	J	`jnl`	Catastrophic Forgetting in Deep Graph Networks: an Introductory Benchmark for Graph Classification. CoRR Antonio Carta, Andrea Cossu, Federico Errica, Davide Bacciu
2021	—	`conf`	Context-Aware Graph Convolutional Autoencoder. IWANN (1) Asma Sattar, Davide Bacciu
2021	J	`jnl`	Continual Learning for Recurrent Neural Networks: an Empirical Evaluation. CoRR Andrea Cossu, Antonio Carta, Vincenzo Lomonaco, Davide Bacciu
2021	B	`conf`	Continual Learning with Echo State Networks. ESANN Andrea Cossu, Davide Bacciu, Antonio Carta, Claudio Gallicchio, Vincenzo Lomonaco
2021	J	`jnl`	Continual Learning with Echo State Networks. CoRR Andrea Cossu, Davide Bacciu, Antonio Carta, Claudio Gallicchio, Vincenzo Lomonaco
2021	J	`jnl`	Continual learning for recurrent neural networks: An empirical evaluation. Neural Networks Andrea Cossu, Antonio Carta, Vincenzo Lomonaco, Davide Bacciu
2021	B	`conf`	Deep learning for graphs. ESANN Davide Bacciu, Filippo Maria Bianchi, Benjamin Paassen, Cesare Alippi
2021	—	`conf`	Dependable Integration Concepts for Human-Centric AI-Based Systems. SAFECOMP Workshops Georg Macher, Siranush Akarmazyan, Eric Armengaud, Davide Bacciu, Calogero Calandra, Herbert Danzinger, Patrizio Dazzi, Charalampos Davalas, Maria Carmela De Gennaro, Angela Dimitriou, Jürgen Dobaj, Maid Dzambic, Lorenzo Giraudi, Sylvain Girbal, Dimitrios Michail, Roberta Peroglio, Rosaria Potenza, Farank Pourdanesh, Matthias Seidl, Christos Sardianos, Konstantinos Tserpes, Jakob Valtl, Iraklis Varlamis, Omar Veledar
2021	—	`conf`	Distilled Replay: Overcoming Forgetting Through Synthetic Samples. CSSL Andrea Rosasco, Antonio Carta, Andrea Cossu, Vincenzo Lomonaco, Davide Bacciu
2021	J	`jnl`	Distilled Replay: Overcoming Forgetting through Synthetic Samples. CoRR Andrea Rosasco, Antonio Carta, Andrea Cossu, Vincenzo Lomonaco, Davide Bacciu
2021	—	`conf`	Dynamic Context in Graph Neural Networks for Item Recommendation. SSCI Asma Sattar, Davide Bacciu
2021	J	`jnl`	Encoding-based memory for recurrent neural networks. Neurocomputing Antonio Carta, Alessandro Sperduti, Davide Bacciu
2021	J	`jnl`	Ex-Model: Continual Learning from a Stream of Trained Models. CoRR Antonio Carta, Andrea Cossu, Vincenzo Lomonaco, Davide Bacciu
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	J	`jnl`	GraphGen-Redux: a Fast and Lightweight Recurrent Model for labeled Graph Generation. CoRR Marco Podda, Davide Bacciu
2021	B	`conf`	Graphgen-redux: a Fast and Lightweight Recurrent Model for labeled Graph Generation. IJCNN Davide Bacciu, Marco Podda
2021	B	`conf`	Inductive learning for product assortment graph completion. ESANN Marco Trincavelli, Haris Dukic, Georgios Deligiorgis, Pierpaolo Sepe, Davide Bacciu
2021	J	`jnl`	Inductive learning for product assortment graph completion. CoRR Haris Dukic, Georgios Deligiorgis, Pierpaolo Sepe, Davide Bacciu, Marco Trincavelli
2021	J	`jnl`	Is Class-Incremental Enough for Continual Learning? CoRR Andrea Cossu, Gabriele Graffieti, Lorenzo Pellegrini, Davide Maltoni, Davide Bacciu, Antonio Carta, Vincenzo Lomonaco
2021	J	`jnl`	K-plex cover pooling for graph neural networks. Data Min. Knowl. Discov. Davide Bacciu, Alessio Conte, Roberto Grossi, Francesco Landolfi, Andrea Marino
2021	J	`jnl`	MEG: Generating Molecular Counterfactual Explanations for Deep Graph Networks. CoRR Danilo Numeroso, Davide Bacciu
2021	B	`conf`	Modeling Edge Features with Deep Bayesian Graph Networks. IJCNN Daniele Atzeni, Davide Bacciu, Federico Errica, Alessio Micheli
2021	J	`jnl`	Occlusion-Based Explanations in Deep Recurrent Models for Biomedical Signals. Entropy Michele Resta, Anna Monreale, Davide Bacciu
2021	J	`jnl`	Predictive Auto-scaling with OpenStack Monasca. CoRR Giacomo Lanciano, Filippo Galli, Tommaso Cucinotta, Davide Bacciu, Andrea Passarella
2021	Misc	`conf`	Predictive auto-scaling with OpenStack Monasca. UCC Giacomo Lanciano, Filippo Galli, Tommaso Cucinotta, Davide Bacciu, Andrea Passarella
2021	J	`jnl`	Supporting Privacy Preservation by Distributed and Federated Learning on the Edge. ERCIM News Davide Bacciu, Patrizio Dazzi, Alberto Gotta
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
2021	J	`jnl`	The CLAIRE COVID-19 initiative: approach, experiences and recommendations. Ethics Inf. Technol. Gianluca Bontempi, Ricardo Chavarriaga, Hans ed Canck, Emanuela Girardi, Holger H. Hoos, Iarla Kilbane-Dawe, Tonio Ball, Ann Nowé, Jose Sousa, Davide Bacciu, Marco Aldinucci, Manlio ed Domenico, Alessandro Saffiotti, Marco Maratea
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	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	J	`jnl`	Augmenting Recurrent Neural Networks Resilience by Dropout. IEEE Trans. Neural Networks Learn. Syst. Davide Bacciu, Francesco Crecchi
2020	B	`conf`	Biochemical Pathway Robustness Prediction with Graph Neural Networks. ESANN Marco Podda, Alessio Micheli, Davide Bacciu, Paolo Milazzo
2020	B	`conf`	Continual Learning with Gated Incremental Memories for sequential data processing. IJCNN Andrea Cossu, Antonio Carta, Davide Bacciu
2020	J	`jnl`	Continual Learning with Gated Incremental Memories for sequential data processing. CoRR Andrea Cossu, Antonio Carta, Davide Bacciu
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	J	`jnl`	Encoding-based Memory Modules for Recurrent Neural Networks. CoRR Antonio Carta, Alessandro Sperduti, Davide Bacciu
2020	J	`jnl`	Explaining Deep Graph Networks with Molecular Counterfactuals. CoRR Danilo Numeroso, Davide Bacciu
2020	J	`jnl`	FADER: Fast Adversarial Example Rejection. CoRR Francesco Crecchi, Marco Melis, Angelo Sotgiu, Davide Bacciu, Battista Biggio
2020	B	`conf`	Generalising Recursive Neural Models by Tensor Decomposition. IJCNN Daniele Castellana, Davide Bacciu
2020	J	`jnl`	Generalising Recursive Neural Models by Tensor Decomposition. CoRR Daniele Castellana, Davide Bacciu
2020	J	`jnl`	Generative Tomography Reconstruction. CoRR Matteo Ronchetti, Davide Bacciu
2020	J	`jnl`	Graph Mixture Density Networks. CoRR Federico Errica, Davide Bacciu, Alessio Micheli
2020	J	`jnl`	Incremental Training of a Recurrent Neural Network Exploiting a Multi-Scale Dynamic Memory. CoRR Antonio Carta, Alessandro Sperduti, Davide Bacciu
2020	—	`conf`	Incremental Training of a Recurrent Neural Network Exploiting a Multi-scale Dynamic Memory. ECML/PKDD (1) Antonio Carta, Alessandro Sperduti, Davide Bacciu
2020	A	`conf`	Learning Style-Aware Symbolic Music Representations by Adversarial Autoencoders. ECAI Andrea Valenti, Antonio Carta, Davide Bacciu
2020	J	`jnl`	Learning a Latent Space of Style-Aware Symbolic Music Representations by Adversarial Autoencoders. CoRR Andrea Valenti, Antonio Carta, Davide Bacciu
2020	B	`conf`	Learning from Non-Binary Constituency Trees via Tensor Decomposition. COLING Daniele Castellana, Davide Bacciu
2020	J	`jnl`	Learning from Non-Binary Constituency Trees via Tensor Decomposition. CoRR Daniele Castellana, Davide Bacciu
2020	J	`jnl`	Measuring the effects of confounders in medical supervised classification problems: the Confounding Index (CI). Artif. Intell. Medicine Elisa Ferrari, Alessandra Retico, Davide Bacciu
2020	B	`conf`	Perplexity-free Parametric t-SNE. ESANN Francesco Crecchi, Cyril de Bodt, Michel Verleysen, John A. Lee, Davide Bacciu
2020	J	`jnl`	Perplexity-free Parametric t-SNE. CoRR Francesco Crecchi, Cyril de Bodt, Michel Verleysen, John A. Lee, Davide Bacciu
2020	J	`jnl`	Probabilistic Learning on Graphs via Contextual Architectures. J. Mach. Learn. Res. Davide Bacciu, Federico Errica, Alessio Micheli
2020	B	`conf`	ROS-Neuro Integration of Deep Convolutional Autoencoders for EEG Signal Compression in Real-time BCIs. SMC Andrea Valenti, Michele Barsotti, Raffaello Brondi, Davide Bacciu, Luca Ascari
2020	J	`jnl`	ROS-Neuro Integration of Deep Convolutional Autoencoders for EEG Signal Compression in Real-time BCIs. CoRR Andrea Valenti, Michele Barsotti, Raffaello Brondi, Davide Bacciu, Luca Ascari
2020	J	`jnl`	Short-Term Memory Optimization in Recurrent Neural Networks by Autoencoder-based Initialization. CoRR Antonio Carta, Alessandro Sperduti, Davide Bacciu
2020	B	`conf`	Tensor Decompositions in Deep Learning. ESANN Davide Bacciu, Danilo P. Mandic
2020	J	`jnl`	Tensor Decompositions in Deep Learning. CoRR Davide Bacciu, Danilo P. Mandic
2020	B	`conf`	Tensor Decompositions in Recursive Neural Networks for Tree-Structured Data. ESANN Daniele Castellana, Davide Bacciu
2020	J	`jnl`	Tensor Decompositions in Recursive NeuralNetworks for Tree-Structured Data. CoRR Daniele Castellana, Davide Bacciu
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
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`	A Non-Negative Factorization approach to node pooling in Graph Convolutional Neural Networks. CoRR Davide Bacciu, Luigi Di Sotto
2019	—	`conf`	A Non-negative Factorization Approach to Node Pooling in Graph Convolutional Neural Networks. AI*IA Davide Bacciu, Luigi Di Sotto
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`	Bayesian Tensor Factorisation for Bottom-up Hidden Tree Markov Models. IJCNN Daniele Castellana, Davide Bacciu
2019	J	`jnl`	Bayesian Tensor Factorisation for Bottom-up Hidden Tree Markov Models. CoRR Daniele Castellana, Davide Bacciu
2019	J	`jnl`	Bayesian mixtures of Hidden Tree Markov Models for structured data clustering. Neurocomputing Davide Bacciu, Daniele Castellana
2019	—	`conf`	Deep Learning for Graphs. INNSBDDL (Tutorials) Davide Bacciu, Alessio Micheli
2019	—	`conf`	Deep Tree Transductions - A Short Survey. INNSBDDL Davide Bacciu, Antonio Bruno
2019	J	`jnl`	Deep Tree Transductions - A Short Survey. CoRR Davide Bacciu, Antonio Bruno
2019	J	`jnl`	Detecting Adversarial Examples through Nonlinear Dimensionality Reduction. CoRR Francesco Crecchi, Davide Bacciu, Battista Biggio
2019	B	`conf`	Detecting Black-box Adversarial Examples through Nonlinear Dimensionality Reduction. ESANN Francesco Crecchi, Davide Bacciu, Battista Biggio
2019	B	`conf`	Graph generation by sequential edge prediction. ESANN Davide Bacciu, Alessio Micheli, Marco Podda
2019	J	`jnl`	Learning From Humans How to Grasp: A Data-Driven Architecture for Autonomous Grasping With Anthropomorphic Soft Hands. IEEE Robotics Autom. Lett. Cosimo Della Santina, Visar Arapi, Giuseppe Averta, Francesca Damiani, Gaia Fiore, Alessandro Settimi, Manuel G. Catalano, Davide Bacciu, Antonio Bicchi, Matteo Bianchi
2019	—	`conf`	Linear Memory Networks. ICANN (1) Davide Bacciu, Antonio Carta, Alessandro Sperduti
2019	J	`jnl`	Measuring the effects of confounders in medical supervised classification problems: the Confounding Index (CI). CoRR Elisa Ferrari, Alessandra Retico, Davide Bacciu
2019	—	`conf`	Sequential Sentence Embeddings for Semantic Similarity. SSCI Antonio Carta, Davide Bacciu
2019	B	`conf`	Societal Issues in Machine Learning: When Learning from Data is Not Enough. ESANN Davide Bacciu, Battista Biggio, Paulo Lisboa, José D. Martín, Luca Oneto, Alfredo Vellido
2019	—	`conf`	Suitable Doesn't Mean Attractive. Human-Based Evaluation of Automatically Generated Headlines. CLiC-it Michele Cafagna, Lorenzo De Mattei, Davide Bacciu, Malvina Nissim
2018	J	`jnl`	Bioinformatics and Medicine in the Era of Deep Learning. CoRR Davide Bacciu, Paulo J. G. Lisboa, José D. Martín, Ruxandra Stoean, Alfredo Vellido
2018	B	`conf`	Bioinformatics and medicine in the era of deep learning. ESANN Davide Bacciu, Paulo Lisboa, José D. Martín, Ruxandra Stoean, Alfredo Vellido
2018	B	`conf`	Concentric ESN: Assessing the Effect of Modularity in Cycle Reservoirs. IJCNN Davide Bacciu, Andrea Bongiorno
2018	J	`jnl`	Concentric ESN: Assessing the Effect of Modularity in Cycle Reservoirs. CoRR Davide Bacciu, Andrea Bongiorno
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	J	`jnl`	DeepDynamicHand: A Deep Neural Architecture for Labeling Hand Manipulation Strategies in Video Sources Exploiting Temporal Information. Frontiers Neurorobotics Visar Arapi, Cosimo Della Santina, Davide Bacciu, Matteo Bianchi, Antonio Bicchi
2018	J	`jnl`	Generative Kernels for Tree-Structured Data. IEEE Trans. Neural Networks Learn. Syst. Davide Bacciu, Alessio Micheli, Alessandro Sperduti
2018	J	`jnl`	Learning Tree Distributions by Hidden Markov Models. CoRR Davide Bacciu, Daniele Castellana
2018	J	`jnl`	Linear Memory Networks. CoRR Davide Bacciu, Antonio Carta, Alessandro Sperduti
2018	B	`conf`	Mixture of Hidden Markov Model as Tree Encoder. ESANN Davide Bacciu, Daniele Castellana
2018	J	`jnl`	Randomized neural networks for preference learning with physiological data. Neurocomputing Davide Bacciu, Michele Colombo, Davide Morelli, David Plans
2018	—	`conf`	Text Summarization as Tree Transduction by Top-Down TreeLSTM. SSCI Davide Bacciu, Antonio Bruno
2018	J	`jnl`	Text Summarization as Tree Transduction by Top-Down TreeLSTM. CoRR Davide Bacciu, Antonio Bruno
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`	An experience in using machine learning for short-term predictions in smart transportation systems. J. Log. Algebraic Methods Program. Davide Bacciu, Antonio Carta, Stefania Gnesi, Laura Semini
2017	J	`jnl`	DropIn: Making Reservoir Computing Neural Networks Robust to Missing Inputs by Dropout. CoRR Davide Bacciu, Francesco Crecchi, Davide Morelli
2017	B	`conf`	DropIn: Making reservoir computing neural networks robust to missing inputs by dropout. IJCNN Davide Bacciu, Francesco Crecchi, Davide Morelli
2017	B	`conf`	ELM Preference Learning for Physiological Data. ESANN Davide Bacciu, Michele Colombo, Davide Morelli, David Plans
2017	J	`jnl`	Hidden Tree Markov Networks: Deep and Wide Learning for Structured Data. CoRR Davide Bacciu
2017	—	`conf`	Hidden tree Markov networks: Deep and wide learning for structured data. SSCI Davide Bacciu
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	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	B	`conf`	A reservoir activation kernel for trees. ESANN Davide Bacciu, Claudio Gallicchio, Alessio Micheli
2016	J	`jnl`	Adopting a Machine Learning Approach in the Design of Smart Transportation Systems. ERCIM News Davide Bacciu, Antonio Carta, Stefania Gnesi, Laura Semini
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	Misc	`conf`	LOL: An Investigation into Cybernetic Humor, or: Can Machines Laugh?. FUN Davide Bacciu, Vincenzo Gervasi, Giuseppe Prencipe
2016	J	`jnl`	Unsupervised feature selection for sensor time-series in pervasive computing applications. Neural Comput. Appl. Davide Bacciu
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	—	`ch.`	Probabilistic Modeling in Machine Learning. Handbook of Computational Intelligence Davide Bacciu, Paulo J. G. Lisboa, Alessandro Sperduti, Thomas Villmann
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`	Using a Machine Learning Approach to Implement and Evaluate Product Line Features. WWV Davide Bacciu, Stefania Gnesi, Laura Semini
2014	C	`conf`	An Iterative Feature Filter for Sensor Timeseries in Pervasive Computing Applications. EANN Davide Bacciu
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`	Efficient identification of independence networks using mutual information. Comput. Stat. Davide Bacciu, Terence A. Etchells, Paulo J. G. Lisboa, Joe Whittaker
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
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`	Input-Output Hidden Markov Models for trees. ESANN Davide Bacciu, Alessio Micheli, Alessandro Sperduti
2012	—	`conf`	Self-sustaining Learning for Robotic Ecologies. SENSORNETS Davide Bacciu, Mathias Broxvall, Sonya A. Coleman, Mauro Dragone, Claudio Gallicchio, Claudio Gennaro, Roberto Guzmán, Rafa López, Héctor Lozano Peiteado, A. K. Ray, Arantxa Rentería, Alessandro Saffiotti, Claudio Vairo
2011	B	`conf`	Adaptive tree kernel by multinomial generative topographic mapping. IJCNN Davide Bacciu, Alessio Micheli, Alessandro Sperduti
2011	J	`jnl`	Clustering of protein expression data: a benchmark of statistical and neural approaches. Soft Comput. Ian H. Jarman, Terence A. Etchells, Davide Bacciu, Jonathan M. Garibaldi, Ian O. Ellis, Paulo J. G. Lisboa
2011	—	`conf`	Discovering Hidden Pathways in Bioinformatics. CIBB Paulo J. G. Lisboa, Ian H. Jarman, Terence A. Etchells, Simon J. Chambers, Davide Bacciu, Joe Whittaker, Jonathan M. Garibaldi, Sandra Ortega-Martorell, Alfredo Vellido, Ian O. Ellis
2010	Misc	`conf`	Adaptive fuzzy-valued service selection. SAC Davide Bacciu, Maria Grazia Buscemi, Lusine Mkrtchyan
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
2009	—	`conf`	Different Methodologies for Patient Stratification Using Survival Data. CIBB Ana S. Fernandes, Davide Bacciu, Ian H. Jarman, Terence A. Etchells, José Manuel Fonseca, Paulo J. G. Lisboa
2009	J	`jnl`	Expansive competitive learning for kernel vector quantization. Pattern Recognit. Lett. Davide Bacciu, Antonina Starita
2009	B	`conf`	Patient stratification with competing risks by multivariate Fisher distance. IJCNN Davide Bacciu, Ian H. Jarman, Terence A. Etchells, Paulo J. G. Lisboa
2008	—	`conf`	Are Model-Based Clustering and Neural Clustering Consistent? A Case Study from Bioinformatics. KES (2) Davide Bacciu, Elia Biganzoli, Paulo J. G. Lisboa, Antonina Starita
2008	J	`jnl`	Competitive Repetition Suppression (CoRe) Clustering: A Biologically Inspired Learning Model With Application to Robust Clustering. IEEE Trans. Neural Networks Davide Bacciu, Antonina Starita
2007	B	`conf`	A Robust Bio-Inspired Clustering Algorithm for the Automatic Determination of Unknown Cluster Number. IJCNN Davide Bacciu, Antonina Starita
2007	—	`conf`	Augmenting the Distributed Evaluation of Path Queries on Data-Graphs with Information Granules. MLG Davide Bacciu, Alessio Botta, Dan C. Stefanescu
2007	—	`conf`	Convergence Behavior of Competitive Repetition-Suppression Clustering. ICONIP (1) Davide Bacciu, Antonina Starita
2006	—	`conf`	A Fuzzy Approach for Negotiating Quality of Services. TGC Davide Bacciu, Alessio Botta, Hernán C. Melgratti
2006	—	`conf`	Competitive Repetition-suppression (CoRe) Learning. ICANN (1) Davide Bacciu, Antonina Starita
2004	A	`conf`	A RLWPR network for learning the internal model of an anthropomorphic robot arm. IROS Davide Bacciu, Loredana Zollo, Eugenio Guglielmelli, Fabio Leoni, Antonina Starita