Fabio Aiolli

ORCID

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 69

Top Venues

Publications

Tommaso Carraro, Alessandro Daniele, Fabio Aiolli, Luciano Serafini
Mitigating Data Sparsity via Neuro-Symbolic Knowledge Transfer. ECIR (3) (2024)
Alvise De Biasio, Andrea Montagna, Fabio Aiolli, Nicolò Navarin
A systematic review of value-aware recommender systems. Expert Syst. Appl. 226 (2023)
Tommaso Carraro, Alessandro Daniele, Fabio Aiolli, Luciano Serafini
Mitigating Data Sparsity via Neuro-Symbolic Knowledge Transfer. KaRS@RecSys (2023)
Andrea Montagna, Alvise De Biasio, Nicolò Navarin, Fabio Aiolli
Graph-based Explainable Recommendation Systems: Are We Rigorously Evaluating Explanations? HCAI4U@CHItaly (2023)
Mohammadmahdi Ghahramani, Fabio Aiolli
Price direction prediction in financial markets, using Random Forest and Adaboost. ESANN (2022)
Ivano Lauriola, Alberto Lavelli, Fabio Aiolli
An introduction to Deep Learning in Natural Language Processing: Models, techniques, and tools. Neurocomputing 470 (2022)
Tommaso Carraro, Mirko Polato, Luca Bergamin, Fabio Aiolli
Conditioned Variational Autoencoder for Top-N Item Recommendation. ICANN (2) (2022)
Fabio Aiolli, Mauro Conti, Stjepan Picek, Mirko Polato
On the feasibility of crawling-based attacks against recommender systems. J. Comput. Secur. 30 (4) (2022)
Mirko Polato, Fabio Aiolli, Luca Bergamin, Tommaso Carraro
Bayes Point Rule Set Learning. ESANN (2022)
Mirko Polato, Guglielmo Faggioli, Fabio Aiolli
PRL: A game theoretic large margin method for interpretable feature learning. Neurocomputing 479 (2022)
Tommaso Carraro, Alessandro Daniele, Fabio Aiolli, Luciano Serafini
Logic Tensor Networks for Top-N Recommendation. AI*IA (2022)
Luca Bergamin, Tommaso Carraro, Mirko Polato, Fabio Aiolli
Novel Applications for VAE-based Anomaly Detection Systems. IJCNN (2022)
Fabio Aiolli, Luca Bergamin, Tommaso Carraro, Mirko Polato
Bayes Point Rule Set Learning. CoRR (2022)
Tommaso Carraro, Alessandro Daniele, Fabio Aiolli, Luciano Serafini
Logic Tensor Networks for Top-N Recommendation. NeSy (2022)
Luca Bergamin, Tommaso Carraro, Mirko Polato, Fabio Aiolli
Novel Applications for VAE-based Anomaly Detection Systems. CoRR (2022)
Mirko Polato, Alberto Gallinaro, Fabio Aiolli
Privacy-Preserving Kernel Computation For Vertically Partitioned Data. ESANN (2021)
Ivano Lauriola, Alberto Lavelli, Alessandro Moschitti, Fabio Aiolli
Exploring the structure of BERT through Kernel Learning. IJCNN (2021)
Mirko Polato, Fabio Aiolli
Propositional Kernels. Entropy 23 (8) (2021)
Ivano Lauriola, Fabio Aiolli, Alberto Lavelli, Fabio Rinaldi
Learning adaptive representations for entity recognition in the biomedical domain. J. Biomed. Semant. 12 (1) (2021)
Ivano Lauriola, Stefano Campese, Alberto Lavelli, Fabio Rinaldi, Fabio Aiolli
Exploring the feature space of character-level embeddings. ESANN (2020)
Ivano Lauriola, Claudio Gallicchio, Fabio Aiolli
Enhancing deep neural networks via multiple kernel learning. Pattern Recognit. 101 (2020)
Pasquale Capuozzo, Ivano Lauriola, Carlo Strapparava, Fabio Aiolli, Giuseppe Sartori
Automatic Detection of Cross-language Verbal Deception. CogSci (2020)
Guglielmo Faggioli, Mirko Polato, Fabio Aiolli
Recency Aware Collaborative Filtering for Next Basket Recommendation. UMAP (2020)
Tommaso Carraro, Mirko Polato, Fabio Aiolli
A Look Inside the Black-Box: Towards the Interpretability of Conditioned Variational Autoencoder for Collaborative Filtering. UMAP (Adjunct Publication) (2020)
Pasquale Capuozzo, Ivano Lauriola, Carlo Strapparava, Fabio Aiolli, Giuseppe Sartori
DecOp: A Multilingual and Multi-domain Corpus For Detecting Deception In Typed Text. LREC (2020)
Ivano Lauriola, Fabio Aiolli
Monotone Deep Spectrum Kernels. ICANN (1) (2020)
Ivano Lauriola, Mirko Polato, Fabio Aiolli
Learning deep kernels in the space of monotone conjunctive polynomials. Pattern Recognit. Lett. 140 (2020)
Mirko Polato, Tommaso Carraro, Fabio Aiolli
Conditioned Variational Autoencoder for top-N item recommendation. CoRR (2020)
Fabio Aiolli, Mauro Conti, Stjepan Picek, Mirko Polato
Big Enough to Care Not Enough to Scare! Crawling to Attack Recommender Systems. ESORICS (2) (2020)
Ivano Lauriola, Fabio Aiolli
MKLpy: a python-based framework for Multiple Kernel Learning. CoRR (2020)
Ivano Lauriola, Alberto Lavelli, Fabio Aiolli
Language processing in the era of deep learning. ESANN (2020)
Mirko Polato, Fabio Aiolli
Boolean kernels for rule based interpretation of support vector machines. Neurocomputing 342 (2019)
Fabio Aiolli, Mauro Conti, Ankit Gangwal, Mirko Polato
Mind your wallet's privacy: identifying Bitcoin wallet apps and user's actions through network traffic analysis. SAC (2019)
Mirko Polato, Fabio Aiolli
Interpretable Preference Learning: A Game Theoretic Framework for Large Margin On-Line Feature and Rule Learning. AAAI (2019)
Giovanni Da San Martino, Alessandro Sperduti, Fabio Aiolli, Alessandro Moschitti
Efficient Online Learning for Mapping Kernels on Linguistic Structures. AAAI (2019)
Mirko Polato, Guglielmo Faggioli, Ivano Lauriola, Fabio Aiolli
Playing the Large Margin Preference Game. ICANN (2) (2019)
Guglielmo Faggioli, Mirko Polato, Ivano Lauriola, Fabio Aiolli
Evaluation of Tag Clusterings for User Profiling in Movie Recommendation. ICANN (Workshop) (2019)
Stefano Campese, Ivano Lauriola, Cristina Scarpazza, Giuseppe Sartori, Fabio Aiolli
Psychiatric Disorders Classification with 3D Convolutional Neural Networks. INNSBDDL (2019)
Ivano Lauriola, Mirko Polato, Guglielmo Faggioli, Fabio Aiolli
A Preference-Learning Framework for Modeling Relational Data. INNSBDDL (2019)
Guglielmo Faggioli, Mirko Polato, Fabio Aiolli
Tag-Based User Profiling: A Game Theoretic Approach. UMAP (Adjunct Publication) (2019)
Luca Oneto, Nicolò Navarin, Michele Donini, Sandro Ridella, Alessandro Sperduti, Fabio Aiolli, Davide Anguita
Learning With Kernels: A Local Rademacher Complexity-Based Analysis With Application to Graph Kernels. IEEE Trans. Neural Networks Learn. Syst. 29 (10) (2018)
Mirko Polato, Fabio Aiolli
Interpretable preference learning: a game theoretic framework for large margin on-line feature and rule learning. CoRR (2018)
Ivano Lauriola, Riccardo Sella, Fabio Aiolli, Alberto Lavelli, Fabio Rinaldi
Learning Representations for Biomedical NER. NL4AI@AI*IA (2018)
Ivano Lauriola, Mirko Polato, Fabio Aiolli
The minimum effort maximum output principle applied to Multiple Kernel Learning. ESANN (2018)
Fabio Aiolli, Michael Biehl, Luca Oneto
Advances in artificial neural networks, machine learning and computational intelligence. Neurocomputing 298 (2018)
Mirko Polato, Fabio Aiolli
Boolean kernels for collaborative filtering in top-N item recommendation. Neurocomputing 286 (2018)
Mirko Polato, Fabio Aiolli
Boolean kernels for interpretable kernel machines. ESANN (2018)
Ivano Lauriola, Mirko Polato, Alberto Lavelli, Fabio Rinaldi, Fabio Aiolli
Learning Preferences for Large Scale Multi-label Problems. ICANN (1) (2018)
Guido Zampieri, Dinh Tran-Van, Michele Donini, Nicolò Navarin, Fabio Aiolli, Alessandro Sperduti, Giorgio Valle
Scuba: scalable kernel-based gene prioritization. BMC Bioinform. 19 (1) (2018)
Guglielmo Faggioli, Mirko Polato, Fabio Aiolli
Efficient Similarity Based Methods For The Playlist Continuation Task. RecSys Challenge (2018)
Mirko Polato, Ivano Lauriola, Fabio Aiolli
A Novel Boolean Kernels Family for Categorical Data. Entropy 20 (6) (2018)
Mirko Polato, Fabio Aiolli
A Game-Theoretic Framework for Interpretable Preference and Feature Learning. ICANN (1) (2018)
Mirko Polato, Fabio Aiolli
Exploiting sparsity to build efficient kernel based collaborative filtering for top-N item recommendation. Neurocomputing 268 (2017)
Ivano Lauriola, Michele Donini, Fabio Aiolli
Learning dot-product polynomials for multiclass problems. ESANN (2017)
Michele Donini, Fabio Aiolli
Learning deep kernels in the space of dot product polynomials. Mach. Learn. 106 (9-10) (2017)
Luca Oneto, Nicolò Navarin, Michele Donini, Alessandro Sperduti, Fabio Aiolli, Davide Anguita
Measuring the expressivity of graph kernels through Statistical Learning Theory. Neurocomputing 268 (2017)
Michele Donini, Nicolò Navarin, Ivano Lauriola, Fabio Aiolli, Fabrizio Costa
Fast hyperparameter selection for graph kernels via subsampling and multiple kernel learning. ESANN (2017)
Fabio Aiolli, Gaëlle Bonnet-Loosli, Romain Hérault
Advances in artificial neural networks, machine learning and computational intelligence. Neurocomputing 268 (2017)
Ivano Lauriola, Mirko Polato, Fabio Aiolli
Radius-Margin Ratio Optimization for Dot-Product Boolean Kernel Learning. ICANN (2) (2017)
Mirko Polato, Fabio Aiolli
Disjunctive Boolean Kernels-based Collaborative Filtering for top-N Item Recommendation. IIR (2017)
Mirko Polato, Ivano Lauriola, Fabio Aiolli
Classification of Categorical Data in the Feature Space of Monotone DNFs. ICANN (2) (2017)
Mirko Polato, Fabio Aiolli
A preliminary study on a recommender system for the job recommendation challenge. RecSys Challenge (2016)
Mirko Polato, Fabio Aiolli
Disjunctive Boolean Kernels for Collaborative Filtering in Top-N Recommendation. CoRR (2016)
Fabio Aiolli, Mirko Polato
Kernel based collaborative filtering for very large scale top-N item recommendation. ESANN (2016)
Luca Oneto, Nicolò Navarin, Michele Donini, Alessandro Sperduti, Fabio Aiolli, Davide Anguita
Measuring the Expressivity of Graph Kernels through the Rademacher Complexity. ESANN (2016)
Fabio Aiolli, Kerstin Bunte, Romain Hérault, Mikhail F. Kanevski
Special issue: Advances in artificial neural networks, machine learning and computational intelligenceSelected papers from the 23rd European Symposium on Artificial Neural Networks (ESANN 2015). Neurocomputing 192 (2016)
Mirko Polato, Fabio Aiolli
Exploiting sparsity to build efficient kernel based collaborative filtering for top-N item recommendation. CoRR (2016)
Luca Oneto, Nicolò Navarin, Michele Donini, Fabio Aiolli, Davide Anguita
Advances in Learning with Kernels: Theory and Practice in a World of growing Constraints. ESANN (2016)
Matteo Ciman, Michele Donini, Ombretta Gaggi, Fabio Aiolli
Stairstep recognition and counting in a serious Game for increasing users' physical activity. Pers. Ubiquitous Comput. 20 (6) (2016)
Fabio Aiolli, Michele Donini
EasyMKL: a scalable multiple kernel learning algorithm. Neurocomputing 169 (2015)
Fabio Aiolli, Giovanni Da San Martino, Alessandro Sperduti
An Efficient Topological Distance-Based Tree Kernel. IEEE Trans. Neural Networks Learn. Syst. 26 (5) (2015)
Fabio Aiolli, Michele Donini, Nicolò Navarin, Alessandro Sperduti
Multiple Graph-Kernel Learning. SSCI (2015)
Verónica Bolón-Canedo, Michele Donini, Fabio Aiolli
Feature and kernel learning. ESANN (2015)
Fabio Aiolli
Convex AUC optimization for top-N recommendation with implicit feedback. RecSys (2014)
Fabio Aiolli, Michele Donini
Learning Anisotropic RBF Kernels. ICANN (2014)
Fabio Aiolli, Michele Donini
Easy multiple kernel learning. ESANN (2014)
Fabio Aiolli, Matteo Ciman, Michele Donini, Ombretta Gaggi
ClimbTheWorld: real-time stairstep counting to increase physical activity. MobiQuitous (2014)
Fabio Aiolli
A Preliminary Study on a Recommender System for the Million Songs Dataset Challenge. IIR (2013)
Fabio Aiolli
Efficient top-n recommendation for very large scale binary rated datasets. RecSys (2013)
Tiziana Sanavia, Fabio Aiolli, Giovanni Da San Martino, Andrea Bisognin, Barbara Di Camillo
Improving biomarker list stability by integration of biological knowledge in the learning process. BMC Bioinform. 13 (S-4) (2012)
Fabio Aiolli
Transfer Learning by Kernel Meta-Learning. ICML Unsupervised and Transfer Learning (2012)
Fabio Aiolli, Andrea Burattin, Alessandro Sperduti
A Business Process Metric Based on the Alpha Algorithm Relations. Business Process Management Workshops (1) (2011)
Fabio Aiolli, Giovanni Da San Martino, Alessandro Sperduti
Extending Tree Kernels with Topological Information. ICANN (1) (2011)
Fabio Aiolli, Giovanni Da San Martino, Alessandro Sperduti
A New Tree Kernel Based on SOM-SD. ICANN (2) (2010)
Fabio Aiolli, Giovanni Da San Martino, Markus Hagenbuchner, Alessandro Sperduti
Learning Nonsparse Kernels by Self-Organizing Maps for Structured Data. IEEE Trans. Neural Networks 20 (12) (2009)
Fabio Aiolli, Michele De Filippo De Grazia, Alessandro Sperduti
Application of the preference learning model to a human resources selection task. CIDM (2009)
Fabio Aiolli, Riccardo Cardin, Fabrizio Sebastiani, Alessandro Sperduti
Preferential Text Classification: Learning Algorithms and Evaluation Measures. ERCIM News 2009 (76) (2009)
Fabio Aiolli, Riccardo Cardin, Fabrizio Sebastiani, Alessandro Sperduti
Preferential text classification: learning algorithms and evaluation measures. Inf. Retr. 12 (5) (2009)
Fabio Aiolli, Giovanni Da San Martino, Alessandro Sperduti
Route kernels for trees. ICML (2009)
Fabio Aiolli, Claudio E. Palazzi
Enhancing Artificial Intelligence on a Real Mobile Game. Int. J. Comput. Games Technol. 2009 (2009)
Fabio Aiolli, Alessandro Sperduti
Supervised learning as preference optimization. ESANN (2009)
Fabio Aiolli, Giovanni Da San Martino, Alessandro Sperduti
A Kernel Method for the Optimization of the Margin Distribution. ICANN (1) (2008)
Fabio Aiolli, Claudio Enrico Palazzi
Enhancing Artificial Intelligence in Games by Learning the Opponent's Playing Style. ECS (2008)
Fabio Aiolli, Fabrizio Sebastiani, Alessandro Sperduti
Preference Learning for Category-Ranking based Interactive Text Categorization. IJCNN (2007)
Fabio Aiolli, Giovanni Da San Martino, Alessandro Sperduti, Markus Hagenbuchner
"Kernelized" Self-Organizing Maps for Structured Data. ESANN (2007)
Fabio Aiolli, Giovanni Da San Martino, Alessandro Sperduti, Alessandro Moschitti
Efficient Kernel-based Learning for Trees. CIDM (2007)
Fabio Aiolli, Giovanni Da San Martino, Alessandro Sperduti, Alessandro Moschitti
Fast On-line Kernel Learning for Trees. ICDM (2006)
Fabio Aiolli
A Preference Model for Structured Supervised Learning Tasks. ICDM (2005)
Fabio Aiolli, Alessandro Sperduti
Multiclass Classification with Multi-Prototype Support Vector Machines. J. Mach. Learn. Res. 6 (2005)
Fabio Aiolli, Alessandro Sperduti
Learning Preferences for Multiclass Problems. NIPS (2004)

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Publication Activity (10 Years)

Top Topics

Top Venues

Fabio Aiolli