Nicol Navarin
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
52
Venues
13
Active years
2012–2026
Best venue rank
A*
Where they publish
Papers
52 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ESANN | Enriching Graph Topology Representations with Line Graph Transformations. | Paolo Frazzetto, Luca Pasa, Nicol Navarin, Alessandro Sperduti |
| 2026 | ESANN | Neuro Symbolic AI and Complex Data. | Luca Oneto, Nicol Navarin, Luca Pasa, Davide Rigoni, Davide Anguita |
| 2026 | ESANN | Ring-constrained Molecular Graph Generation with Diffusion Models. | Davide Rigoni, Rana Islek, Nicol Navarin |
| 2026 | SAC | Iterative In-Context Learning to Enhance LLMs Abstract Reasoning: The Case-Study of Algebraic Tasks. | Stefano Fioravanti, Matteo Zavatteri, Roberto Confalonieri, Kamyar Zeinalipour, Paolo Frazzetto, Alessandro Sperduti, Nicol Navarin |
| 2025 | BPM | Enhancing Predictive Process Monitoring on Small-Scale Event Logs Using LLMs. | Alessandro Padella, Paolo Frazzetto, Nicol Navarin, Massimiliano de Leoni |
| 2025 | IJCNN | Position Paper: A new Perspective on Online Continual Learning. | Nicol Navarin, Alessandro Betti, Marco Gori |
| 2025 | KR | Categorical Explaining Functors: Ensuring Coherence in Logical Explanations. | Stefano Fioravanti, Francesco Giannini, Pietro Barbiero, Paolo Frazzetto, Roberto Confalonieri, Fabio Zanasi, Nicol Navarin |
| 2024 | ECAI | Automated Synthesis of Certified Neural Networks. | Matteo Zavatteri, Davide Bresolin, Nicol Navarin |
| 2024 | ESANN | Towards the application of Backpropagation-Free Graph Convolutional Networks on Huge Datasets. | Nicol Navarin, Luca Pasa, Alessandro Sperduti |
| 2024 | ESANN | Informed Machine Learning for Complex Data. | Luca Oneto, Nicol Navarin, Alessio Micheli, Luca Pasa, Claudio Gallicchio, Davide Bacciu, Davide Anguita |
| 2024 | ICANN | Relative Local Signal Strength: The Impact of Normalization on the Analysis of Neuroimaging Data with Deep Learning. | Giovanni Donghi, Luca Pasa, Alberto Testolin, Marco Zorzi, Alessandro Sperduti, Nicol Navarin |
| 2024 | IJCNN | Physics-Informed Graph Neural Cellular Automata: an Application to Compartmental Modelling. | Nicol Navarin, Paolo Frazzetto, Luca Pasa, Pietro Verzelli, Filippo Visentin, Alessandro Sperduti, Cesare Alippi |
| 2024 | SAC | Beyond the Additive Nodes' Convolutions: a Study on High-Order Multiplicative Integration. | Paolo Frazzetto, Luca Pasa, Nicol Navarin, Alessandro Sperduti |
| 2023 | ESANN | Graph Representation Learning. | Davide Bacciu, Federico Errica, Alessio Micheli, Nicol Navarin, Luca Pasa, Marco Podda, Daniele Zambon |
| 2023 | ESANN | An Empirical Study of Over-Parameterized Neural Models based on Graph Random Features. | Nicol Navarin, Luca Pasa, Luca Oneto, Alessandro Sperduti |
| 2023 | ICANN | An Untrained Neural Model for Fast and Accurate Graph Classification. | Nicol Navarin, Luca Pasa, Claudio Gallicchio, Alessandro Sperduti |
| 2023 | SAC | Topology preserving maps as aggregations for Graph Convolutional Neural Networks. | Paolo Frazzetto, Luca Pasa, Nicol Navarin, Alessandro Sperduti |
| 2022 | ESANN | Deep Learning for Graphs. | Davide Bacciu, Federico Errica, Nicol Navarin, Luca Pasa, Daniele Zambon |
| 2022 | ESANN | Biased Edge Dropout in NIFTY for Fair Graph Representation Learning. | Federico Caldart, Luca Pasa, Luca Oneto, Alessandro Sperduti, Nicol Navarin |
| 2022 | ICDM | Backpropagation-free Graph Neural Networks. | Luca Pasa, Nicol Navarin, Wolfgang Erb, Alessandro Sperduti |
| 2022 | IJCNN | Face the Truth: Interpretable Emotion Genuineness Detection. | Matteo Cardaioli, Alessio Miolla, Mauro Conti, Giuseppe Sartori, Merylin Monaro, Cristina Scarpazza, Nicol Navarin |
| 2022 | IJCNN | Forged handwriting verification: a public domain dataset for training machine learning models. | Merylin Monaro, Valentina Fietta, Valentina Curr, Giulia Lusetti, Giuseppe Sartori, Nicol Navarin |
| 2022 | IJCNN | Understanding Catastrophic Forgetting of Gated Linear Networks in Continual Learning. | Matteo Munari, Luca Pasa, Daniele Zambon, Cesare Alippi, Nicol Navarin |
| 2022 | SAC | Compact graph neural network models for node classification. | Luca Pasa, Nicol Navarin, Alessandro Sperduti |
| 2021 | ESANN | Complex Data: Learning Trustworthily, Automatically, and with Guarantees. | Luca Oneto, Nicol Navarin, Battista Biggio, Federico Errica, Alessio Micheli, Franco Scarselli, Monica Bianchini, Alessandro Sperduti |
| 2021 | ESANN | Tangent Graph Convolutional Network. | Luca Pasa, Nicol Navarin, Alessandro Sperduti |
| 2021 | IJCNN | Learn and Visually Explain Deep Fair Models: an Application to Face Recognition. | Danilo Franco, Luca Oneto, Nicol Navarin, Davide Anguita |
| 2020 | ECAI | Learning Kernel-Based Embeddings in Graph Neural Networks. | Nicol Navarin, Dinh Van Tran, Alessandro Sperduti |
| 2020 | ESANN | Linear Graph Convolutional Networks. | Nicol Navarin, Wolfgang Erb, Luca Pasa, Alessandro Sperduti |
| 2020 | ESANN | Learning Deep Fair Graph Neural Networks. | Luca Oneto, Nicol Navarin, Michele Donini |
| 2020 | ESANN | Deep Recurrent Graph Neural Networks. | Luca Pasa, Nicol Navarin, Alessandro Sperduti |
| 2020 | ESANN | A Systematic Assessment of Deep Learning Models for Molecule Generation. | Davide Rigoni, Nicol Navarin, Alessandro Sperduti |
| 2020 | ICPM | Explainable Predictive Process Monitoring. | Riccardo Galanti, Bernat Coma-Puig, Massimiliano de Leoni, Josep Carmona, Nicol Navarin |
| 2020 | IJCNN | Towards Online Discovery of Data-Aware Declarative Process Models from Event Streams. | Nicol Navarin, Matteo Cambiaso, Andrea Burattin, Fabrizio Maria Maggi, Luca Oneto, Alessandro Sperduti |
| 2020 | RO-MAN | Robotic Object Sorting via Deep Reinforcement Learning: a generalized approach. | Giorgio Nicola, Luca Tagliapietra, Elisa Tosello, Nicol Navarin, Stefano Ghidoni, Emanuele Menegatti |
| 2019 | ESANN | On the definition of complex structured feature spaces. | Nicol Navarin, Dinh Van Tran, Alessandro Sperduti |
| 2019 | IJCNN | Universal Readout for Graph Convolutional Neural Networks. | Nicol Navarin, Dinh Van Tran, Alessandro Sperduti |
| 2018 | ESANN | Emerging trends in machine learning: beyond conventional methods and data. | Luca Oneto, Nicol Navarin, Michele Donini, Davide Anguita |
| 2018 | ESANN | DEEP: decomposition feature enhancement procedure for graphs. | Dinh Tran-Van, Nicol Navarin, Alessandro Sperduti |
| 2018 | IJCNN | Extreme Graph Kernels for Online Learning on a Memory Budget. | Nicol Navarin, Giovanni Da San Martino, Alessandro Sperduti |
| 2017 | ESANN | Fast hyperparameter selection for graph kernels via subsampling and multiple kernel learning. | Michele Donini, Nicol Navarin, Ivano Lauriola, Fabio Aiolli, Fabrizio Costa |
| 2017 | ESANN | Approximated Neighbours MinHash Graph Node Kernel. | Nicol Navarin, Alessandro Sperduti |
| 2017 | IJCNN | Deep graph node kernels: A convex approach. | Luca Oneto, Nicol Navarin, Alessandro Sperduti, Davide Anguita |
| 2016 | ESANN | Advances in Learning with Kernels: Theory and Practice in a World of growing Constraints. | Luca Oneto, Nicol Navarin, Michele Donini, Fabio Aiolli, Davide Anguita |
| 2016 | ESANN | Measuring the Expressivity of Graph Kernels through the Rademacher Complexity. | Luca Oneto, Nicol Navarin, Michele Donini, Alessandro Sperduti, Fabio Aiolli, Davide Anguita |
| 2016 | ICONIP | Hyper-Parameter Tuning for Graph Kernels via Multiple Kernel Learning. | Carlo M. Massimo, Nicol Navarin, Alessandro Sperduti |
| 2015 | ESANN | Exploiting the ODD framework to define a novel effective graph kernel. | Giovanni Da San Martino, Nicol Navarin, Alessandro Sperduti |
| 2015 | ICONIP | Extending Local Features with Contextual Information in Graph Kernels. | Nicol Navarin, Alessandro Sperduti, Riccardo Tesselli |
| 2014 | ICONIP | Graph Kernels Exploiting Weisfeiler-Lehman Graph Isomorphism Test Extensions. | Giovanni Da San Martino, Nicol Navarin, Alessandro Sperduti |
| 2013 | IJCAI | A Lossy Counting Based Approach for Learning on Streams of Graphs on a Budget. | Giovanni Da San Martino, Nicol Navarin, Alessandro Sperduti |
| 2012 | IJCNN | A memory efficient graph kernel. | Giovanni Da San Martino, Nicol Navarin, Alessandro Sperduti |
| 2012 | SDM | A Tree-Based Kernel for Graphs. | Giovanni Da San Martino, Nicol Navarin, Alessandro Sperduti |