Davide Bacciu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
119
Venues
34
Active years
2004–2026
Best venue rank
A*
Where they publish
- BESANN43 papers
- BIJCNN18 papers
- A*ICLR5 papers
- A*ICML5 papers
- CICANN4 papers
- A*CVPR3 papers
- BICONIP3 papers
- AGECCO2 papers
- A*AAAI2 papers
- BAIME2 papers
- AAISTATS2 papers
- AHPDC2 papers
- A*IJCAI2 papers
- MulticonferenceICASSP2 papers
- BSAFECOMP2 papers
- CEANN2 papers
- NationalICIAP2 papers
- NationalIWANN2 papers
- AEACL1 paper
- ANAACL1 paper
- AUAI1 paper
- ABMVC1 paper
- CCBMI1 paper
- A*PERCOM1 paper
- NationalQCE1 paper
- UnrankedUCC1 paper
- BCOLING1 paper
- AECAI1 paper
- BSMC1 paper
- NationalFUN1 paper
- NationalEPIA1 paper
- MulticonferenceSAC1 paper
- BKES1 paper
- AIROS1 paper
Papers
119 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | EACL | JuriFindIT: an Italian legal retrieval dataset. | Niko Dalla Noce, Davide Colla, Sina Farhang Doust, Lorenzo De Mattei, Davide Bacciu |
| 2026 | ESANN | Random Unicycle Network (RUN!): supercharging harmonic oscillator networks via non-holonomic constraints. | Mariano Ramrez Montero, Andrea Ceni, Andrea Cossu, Davide Bacciu, Claudio Gallicchio, Cosimo Della Santina |
| 2026 | ESANN | Emotion Recognition in Multimodal Social Data. | Lucia C. Passaro, Davide Amadei, Davide Bacciu |
| 2026 | ESANN | Boundary-Constrained Diffusion Models for Floorplan Generation: Balancing Realism and Diversity. | Leonardo Stoppani, Davide Bacciu, Shahab Mokarizadeh |
| 2026 | GECCO | Continual Evolution Strategies in Control Tasks. | Nicola Pitzalis, Eleni Nisioti, Antonio Carta, Davide Bacciu, Andrea Cossu |
| 2025 | AAAI | On Oversquashing in Graph Neural Networks Through the Lens of Dynamical Systems. | Alessio Gravina, Moshe Eliasof, Claudio Gallicchio, Davide Bacciu, Carola-Bibiane Schnlieb |
| 2025 | ESANN | Foundation and Generative Models for Graphs. | Davide Bacciu, Federico Errica, Stefano Moro, Luca Pasa, Davide Rigoni, Daniele Zambon |
| 2025 | ESANN | Towards Adaptive and Stable Compositional Assemblies of Recurrent Neural Network Modules. | Valerio De Caro, Andrea Ceni, Davide Bacciu, Claudio Gallicchio |
| 2025 | ESANN | Don't drift away: Advances and Applications of Streaming and Continual Learning. | Andrea Cossu, Davide Bacciu, Alessio Bernardo, Emanuele Della Valle, Alexander Gepperth, Federico Giannini, Barbara Hammer, Giacomo Ziffer |
| 2025 | ESANN | Generalized Stochastic Pooling. | Francesco Landolfi, Davide Bacciu |
| 2025 | ESANN | Towards Efficient Molecular Property Optimization with Graph Energy Based Models. | Luca Miglior, Lorenzo Simone, Marco Podda, Davide Bacciu |
| 2025 | GECCO | Lifelong Evolution of Swarms. | Lorenzo Leuzzi, Davide Bacciu, Sabine Hauert, Simon Jones, Andrea Cossu |
| 2025 | ICANN | Real-Time and Personalized Product Recommendations for Large E-Commerce Platforms. | Matteo Tolloso, Davide Bacciu, Shahab Mokarizadeh, Marco Varesi |
| 2025 | ICLR | Port-Hamiltonian Architectural Bias for Long-Range Propagation in Deep Graph Networks. | Simon Heilig, Alessio Gravina, Alessandro Trenta, Claudio Gallicchio, Davide Bacciu |
| 2025 | ICML | Graph Adaptive Autoregressive Moving Average Models. | Moshe Eliasof, Alessio Gravina, Andrea Ceni, Claudio Gallicchio, Davide Bacciu, Carola-Bibiane Schnlieb |
| 2025 | IJCNN | Non-Dissipative Graph Propagation for Non-Local Community Detection. | William Leeney, Alessio Gravina, Davide Bacciu |
| 2024 | AIME | Quasi-Orthogonal ECG-Frank XYZ Transformation with Energy-Based Models and Clinical Text. | Lorenzo Simone, Davide Bacciu, Vincenzo Gervasi |
| 2024 | AISTATS | Random Oscillators Network for Time Series Processing. | Andrea Ceni, Andrea Cossu, Maximilian W. Stlzle, Jingyue Liu, Cosimo Della Santina, Davide Bacciu, Claudio Gallicchio |
| 2024 | CVPR | Calibration of Continual Learning Models. | Lanpei Li, Elia Piccoli, Andrea Cossu, Davide Bacciu, Vincenzo Lomonaco |
| 2024 | ESANN | Generalizing Convolution to Point Clouds. | Davide Bacciu, Francesco Landolfi |
| 2024 | ESANN | ADLER - An efficient Hessian-based strategy for adaptive learning rate. | Dario Balboni, Davide Bacciu |
| 2024 | ESANN | Large-Scale Continuous Structure Learning from Time-Series Data. | Filippo Michelis, Riccardo Massidda, Davide Bacciu |
| 2024 | ESANN | Sequential Continual Pre-Training for Neural Machine Translation. | Niko Dalla Noce, Michele Resta, Davide Bacciu |
| 2024 | ESANN | Informed Machine Learning for Complex Data. | Luca Oneto, Nicol Navarin, Alessio Micheli, Luca Pasa, Claudio Gallicchio, Davide Bacciu, Davide Anguita |
| 2024 | ESANN | Enhancing Echo State Networks with Gradient-based Explainability Methods. | Francesco Spinnato, Andrea Cossu, Riccardo Guidotti, Andrea Ceni, Claudio Gallicchio, Davide Bacciu |
| 2024 | HPDC | TEACHING Platform for Human-Centric Autonomous Applications: Design and Overview. | Valerio De Caro, Christos Chronis, Massimo Coppola, Vincenzo Lomonaco, Claudio Gallicchio, Konstantinos Tserpes, Davide Bacciu |
| 2024 | ICLR | Constraint-Free Structure Learning with Smooth Acyclic Orientations. | Riccardo Massidda, Francesco Landolfi, Martina Cinquini, Davide Bacciu |
| 2024 | ICML | Long Range Propagation on Continuous-Time Dynamic Graphs. | Alessio Gravina, Giulio Lovisotto, Claudio Gallicchio, Davide Bacciu, Claas Grohnfeldt |
| 2024 | IJCAI | Temporal Graph ODEs for Irregularly-Sampled Time Series. | Alessio Gravina, Daniele Zambon, Davide Bacciu, Cesare Alippi |
| 2024 | IJCNN | Multi-Relational Graph Neural Network for Out-of-Domain Link Prediction. | Asma Sattar, Georgios Deligiorgis, Marco Trincavelli, Davide Bacciu |
| 2024 | IJCNN | ChemAlgebra: Algebraic Reasoning on Chemical Reactions. | Andrea Valenti, Davide Bacciu, Antonio Vergari |
| 2024 | NAACL | Self-generated Replay Memories for Continual Neural Machine Translation. | Michele Resta, Davide Bacciu |
| 2024 | UAI | Learning Causal Abstractions of Linear Structural Causal Models. | Riccardo Massidda, Sara Magliacane, Davide Bacciu |
| 2023 | AAAI | Generalizing Downsampling from Regular Data to Graphs. | Davide Bacciu, Alessio Conte, Francesco Landolfi |
| 2023 | AIME | ECGAN: Self-supervised Generative Adversarial Network for Electrocardiography. | Lorenzo Simone, Davide Bacciu |
| 2023 | ESANN | Graph Representation Learning. | Davide Bacciu, Federico Errica, Alessio Micheli, Nicol Navarin, Luca Pasa, Marco Podda, Daniele Zambon |
| 2023 | ESANN | Communication-Efficient Ridge Regression in Federated Echo State Networks. | Valerio De Caro, Antonio Di Mauro, Davide Bacciu, Claudio Gallicchio |
| 2023 | ESANN | Improving Fairness via Intrinsic Plasticity in Echo State Networks. | Andrea Ceni, Davide Bacciu, Valerio De Caro, Claudio Gallicchio, Luca Oneto |
| 2023 | ESANN | A Protocol for Continual Explanation of SHAP. | Andrea Cossu, Francesco Spinnato, Riccardo Guidotti, Davide Bacciu |
| 2023 | ESANN | Hidden Markov Models for Temporal Graph Representation Learning. | Federico Errica, Alessio Gravina, Davide Bacciu, Alessio Micheli |
| 2023 | ESANN | A Tropical View of Graph Neural Networks. | Francesco Landolfi, Davide Bacciu, Danilo Numeroso |
| 2023 | HPDC | TEACHING: A Computing Toolkit for Building Efficient Autonomous appliCations Leveraging Humanistic INtelliGence. | Davide Bacciu, Konstantinos Tserpes, Massimo Coppola, Georg Macher, Claudio Gallicchio, Omar Veledar, Anna Maria Anaxagorou, Patrizio Dazzi |
| 2023 | ICASSP | Prediction of Driver's Stress Affection in Simulated Autonomous Driving Scenarios. | Valerio De Caro, Herbert Danzinger, Claudio Gallicchio, Clemens Knczl, Vincenzo Lomonaco, Mina Marmpena, Sevasti Politi, Omar Veledar, Davide Bacciu |
| 2023 | ICASSP | AI-Toolkit: A Microservices Architecture for Low-Code Decentralized Machine Intelligence. | 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 | ICLR | Anti-Symmetric DGN: a stable architecture for Deep Graph Networks. | Alessio Gravina, Davide Bacciu, Claudio Gallicchio |
| 2023 | ICLR | Dual Algorithmic Reasoning. | Danilo Numeroso, Davide Bacciu, Petar Velickovic |
| 2023 | IJCAI | Graph-based Polyphonic Multitrack Music Generation. | Emanuele Cosenza, Andrea Valenti, Davide Bacciu |
| 2023 | SAFECOMP | Safety and Robustness for Deep Neural Networks: An Automotive Use Case. | Davide Bacciu, Antonio Carta, Claudio Gallicchio, Christoph Schmittner |
| 2022 | BMVC | An Empirical Verification of Wide Networks Theory. | Dario Balboni, Davide Bacciu |
| 2022 | CBMI | Deep Features for CBIR with Scarce Data using Hebbian Learning. | Gabriele Lagani, Davide Bacciu, Claudio Gallicchio, Fabrizio Falchi, Claudio Gennaro, Giuseppe Amato |
| 2022 | CVPR | Ex-Model: Continual Learning from a Stream of Trained Models. | Antonio Carta, Andrea Cossu, Vincenzo Lomonaco, Davide Bacciu |
| 2022 | EANN | Learning Image Captioning as a Structured Transduction Task. | Davide Bacciu, Davide Serramazza |
| 2022 | ESANN | Deep Learning for Graphs. | Davide Bacciu, Federico Errica, Nicol Navarin, Luca Pasa, Daniele Zambon |
| 2022 | ESANN | Federated Adaptation of Reservoirs via Intrinsic Plasticity. | Valerio De Caro, Claudio Gallicchio, Davide Bacciu |
| 2022 | ESANN | Continual Learning for Human State Monitoring. | Federico Matteoni, Andrea Cossu, Claudio Gallicchio, Vincenzo Lomonaco, Davide Bacciu |
| 2022 | ESANN | Continual Incremental Language Learning for Neural Machine Translation. | Michele Resta, Davide Bacciu |
| 2022 | ESANN | Modular Representations for Weak Disentanglement. | Andrea Valenti, Davide Bacciu |
| 2022 | ICIAP | Avalanche RL: A Continual Reinforcement Learning Library. | Nicol Lucchesi, Antonio Carta, Vincenzo Lomonaco, Davide Bacciu |
| 2022 | ICIAP | Practical Recommendations for Replay-Based Continual Learning Methods. | Gabriele Merlin, Vincenzo Lomonaco, Andrea Cossu, Antonio Carta, Davide Bacciu |
| 2022 | ICML | The Infinite Contextual Graph Markov Model. | Daniele Castellana, Federico Errica, Davide Bacciu, Alessio Micheli |
| 2022 | IJCNN | Sample Condensation in Online Continual Learning. | Mattia Sangermano, Antonio Carta, Andrea Cossu, Davide Bacciu |
| 2022 | IJCNN | Leveraging Relational Information for Learning Weakly Disentangled Representations. | Andrea Valenti, Davide Bacciu |
| 2022 | PERCOM | AI-as-a-Service Toolkit for Human-Centered Intelligence in Autonomous Driving. | Valerio De Caro, Saira Bano, Achilles Machumilane, Alberto Gotta, Pietro Cassar, Antonio Carta, Rudy Semola, Christos Sardianos, Christos Chronis, Iraklis Varlamis, Konstantinos Tserpes, Vincenzo Lomonaco, Claudio Gallicchio, Davide Bacciu |
| 2022 | QCE | Deep Reinforcement Learning Quantum Control on IBMQ Platforms and Qiskit Pulse. | Rudy Semola, Lorenzo Moro, Davide Bacciu, Enrico Prati |
| 2021 | CVPR | Avalanche: An End-to-End Library for Continual Learning. | 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 | ESANN | Deep learning for graphs. | Davide Bacciu, Filippo Maria Bianchi, Benjamin Paassen, Cesare Alippi |
| 2021 | ESANN | Continual Learning with Echo State Networks. | Andrea Cossu, Davide Bacciu, Antonio Carta, Claudio Gallicchio, Vincenzo Lomonaco |
| 2021 | ESANN | Inductive learning for product assortment graph completion. | Marco Trincavelli, Haris Dukic, Georgios Deligiorgis, Pierpaolo Sepe, Davide Bacciu |
| 2021 | ESANN | Calliope - A Polyphonic Music Transformer. | Andrea Valenti, Stefano Berti, Davide Bacciu |
| 2021 | ICML | Graph Mixture Density Networks. | Federico Errica, Davide Bacciu, Alessio Micheli |
| 2021 | IJCNN | Modeling Edge Features with Deep Bayesian Graph Networks. | Daniele Atzeni, Davide Bacciu, Federico Errica, Alessio Micheli |
| 2021 | IJCNN | Graphgen-redux: a Fast and Lightweight Recurrent Model for labeled Graph Generation. | Davide Bacciu, Marco Podda |
| 2021 | IJCNN | Federated Reservoir Computing Neural Networks. | Davide Bacciu, Daniele Di Sarli, Pouria Faraji, Claudio Gallicchio, Alessio Micheli |
| 2021 | IWANN | Benchmarking Reservoir and Recurrent Neural Networks for Human State and Activity Recognition. | Davide Bacciu, Daniele Di Sarli, Claudio Gallicchio, Alessio Micheli, Niccol Puccinelli |
| 2021 | IWANN | Context-Aware Graph Convolutional Autoencoder. | Asma Sattar, Davide Bacciu |
| 2021 | SAFECOMP | Dependable Integration Concepts for Human-Centric AI-Based Systems. | Georg Macher, Siranush Akarmazyan, Eric Armengaud, Davide Bacciu, Calogero Calandra, Herbert Danzinger, Patrizio Dazzi, Charalampos Davalas, Maria Carmela De Gennaro, Angela Dimitriou, Jrgen 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 | UCC | Predictive auto-scaling with OpenStack Monasca. | Giacomo Lanciano, Filippo Galli, Tommaso Cucinotta, Davide Bacciu, Andrea Passarella |
| 2020 | AISTATS | A Deep Generative Model for Fragment-Based Molecule Generation. | Marco Podda, Davide Bacciu, Alessio Micheli |
| 2020 | COLING | Learning from Non-Binary Constituency Trees via Tensor Decomposition. | Daniele Castellana, Davide Bacciu |
| 2020 | ECAI | Learning Style-Aware Symbolic Music Representations by Adversarial Autoencoders. | Andrea Valenti, Antonio Carta, Davide Bacciu |
| 2020 | ESANN | Tensor Decompositions in Deep Learning. | Davide Bacciu, Danilo P. Mandic |
| 2020 | ESANN | Tensor Decompositions in Recursive Neural Networks for Tree-Structured Data. | Daniele Castellana, Davide Bacciu |
| 2020 | ESANN | Perplexity-free Parametric t-SNE. | Francesco Crecchi, Cyril de Bodt, Michel Verleysen, John A. Lee, Davide Bacciu |
| 2020 | ESANN | Theoretically Expressive and Edge-aware Graph Learning. | Federico Errica, Davide Bacciu, Alessio Micheli |
| 2020 | ESANN | Biochemical Pathway Robustness Prediction with Graph Neural Networks. | Marco Podda, Alessio Micheli, Davide Bacciu, Paolo Milazzo |
| 2020 | ICLR | A Fair Comparison of Graph Neural Networks for Graph Classification. | Federico Errica, Marco Podda, Davide Bacciu, Alessio Micheli |
| 2020 | IJCNN | Generalising Recursive Neural Models by Tensor Decomposition. | Daniele Castellana, Davide Bacciu |
| 2020 | IJCNN | Continual Learning with Gated Incremental Memories for sequential data processing. | Andrea Cossu, Antonio Carta, Davide Bacciu |
| 2020 | SMC | ROS-Neuro Integration of Deep Convolutional Autoencoders for EEG Signal Compression in Real-time BCIs. | Andrea Valenti, Michele Barsotti, Raffaello Brondi, Davide Bacciu, Luca Ascari |
| 2019 | ESANN | Societal Issues in Machine Learning: When Learning from Data is Not Enough. | Davide Bacciu, Battista Biggio, Paulo Lisboa, Jos D. Martn, Luca Oneto, Alfredo Vellido |
| 2019 | ESANN | Graph generation by sequential edge prediction. | Davide Bacciu, Alessio Micheli, Marco Podda |
| 2019 | ESANN | Detecting Black-box Adversarial Examples through Nonlinear Dimensionality Reduction. | Francesco Crecchi, Davide Bacciu, Battista Biggio |
| 2019 | ICANN | Linear Memory Networks. | Davide Bacciu, Antonio Carta, Alessandro Sperduti |
| 2019 | IJCNN | Bayesian Tensor Factorisation for Bottom-up Hidden Tree Markov Models. | Daniele Castellana, Davide Bacciu |
| 2018 | ESANN | Mixture of Hidden Markov Model as Tree Encoder. | Davide Bacciu, Daniele Castellana |
| 2018 | ESANN | Bioinformatics and medicine in the era of deep learning. | Davide Bacciu, Paulo Lisboa, Jos D. Martn, Ruxandra Stoean, Alfredo Vellido |
| 2018 | ICML | Contextual Graph Markov Model: A Deep and Generative Approach to Graph Processing. | Davide Bacciu, Federico Errica, Alessio Micheli |
| 2018 | IJCNN | Concentric ESN: Assessing the Effect of Modularity in Cycle Reservoirs. | Davide Bacciu, Andrea Bongiorno |
| 2017 | ESANN | ELM Preference Learning for Physiological Data. | Davide Bacciu, Michele Colombo, Davide Morelli, David Plans |
| 2017 | IJCNN | DropIn: Making reservoir computing neural networks robust to missing inputs by dropout. | Davide Bacciu, Francesco Crecchi, Davide Morelli |
| 2016 | ESANN | A reservoir activation kernel for trees. | Davide Bacciu, Claudio Gallicchio, Alessio Micheli |
| 2016 | FUN | LOL: An Investigation into Cybernetic Humor, or: Can Machines Laugh?. | Davide Bacciu, Vincenzo Gervasi, Giuseppe Prencipe |
| 2015 | EPIA | Smart Environments and Context-Awareness for Lifestyle Management in a Healthy Active Ageing Framework. | Davide Bacciu, Stefano Chessa, Claudio Gallicchio, Alessio Micheli, Erina Ferro, Luigi Fortunati, Filippo Palumbo, Oberdan Parodi, Federico Vozzi, Sten Hanke, Johannes Kropf, Karl Kreiner |
| 2015 | ESANN | ESNigma: efficient feature selection for echo state networks. | Davide Bacciu, Filippo Benedetti, Alessio Micheli |
| 2014 | EANN | An Iterative Feature Filter for Sensor Timeseries in Pervasive Computing Applications. | Davide Bacciu |
| 2014 | ICONIP | Modeling Bi-directional Tree Contexts by Generative Transductions. | Davide Bacciu, Alessio Micheli, Alessandro Sperduti |
| 2014 | IJCNN | Integrating bi-directional contexts in a generative kernel for trees. | Davide Bacciu, Alessio Micheli, Alessandro Sperduti |
| 2012 | ESANN | Input-Output Hidden Markov Models for trees. | Davide Bacciu, Alessio Micheli, Alessandro Sperduti |
| 2012 | ICANN | A Generative Multiset Kernel for Structured Data. | Davide Bacciu, Alessio Micheli, Alessandro Sperduti |
| 2011 | IJCNN | Adaptive tree kernel by multinomial generative topographic mapping. | Davide Bacciu, Alessio Micheli, Alessandro Sperduti |
| 2010 | ICONIP | Bottom-Up Generative Modeling of Tree-Structured Data. | Davide Bacciu, Alessio Micheli, Alessandro Sperduti |
| 2010 | IJCNN | Compositional generative mapping of structured data. | Davide Bacciu, Alessio Micheli, Alessandro Sperduti |
| 2010 | SAC | Adaptive fuzzy-valued service selection. | Davide Bacciu, Maria Grazia Buscemi, Lusine Mkrtchyan |
| 2009 | IJCNN | Patient stratification with competing risks by multivariate Fisher distance. | Davide Bacciu, Ian H. Jarman, Terence A. Etchells, Paulo J. G. Lisboa |
| 2008 | KES | Are Model-Based Clustering and Neural Clustering Consistent? A Case Study from Bioinformatics. | Davide Bacciu, Elia Biganzoli, Paulo J. G. Lisboa, Antonina Starita |
| 2007 | ICONIP | Convergence Behavior of Competitive Repetition-Suppression Clustering. | Davide Bacciu, Antonina Starita |
| 2007 | IJCNN | A Robust Bio-Inspired Clustering Algorithm for the Automatic Determination of Unknown Cluster Number. | Davide Bacciu, Antonina Starita |
| 2006 | ICANN | Competitive Repetition-suppression (CoRe) Learning. | Davide Bacciu, Antonina Starita |
| 2004 | IROS | A RLWPR network for learning the internal model of an anthropomorphic robot arm. | Davide Bacciu, Loredana Zollo, Eugenio Guglielmelli, Fabio Leoni, Antonina Starita |