Fabio Aiolli - RankMe

117 papers A* 7A 3B 23C 5Misc 1Journal 41Unranked 33

Year	Rank	Type	Title / Venue / Authors
2025	B	`conf`	(Sometimes) Less is More: Mitigating the Complexity of Rule-based Representation for Interpretable Classification. IJCNN Luca Bergamin, Roberto Confalonieri, Fabio Aiolli
2025	J	`jnl`	(Sometimes) Less is More: Mitigating the Complexity of Rule-based Representation for Interpretable Classification. CoRR Luca Bergamin, Roberto Confalonieri, Fabio Aiolli
2025	J	`jnl`	An investigation into creating counterfactual examples for non-linear Support Vector Machines. Neurocomputing Luca Bergamin, Fabio Aiolli
2025	J	`jnl`	Improving rule-based classifiers by Bayes point aggregation. Neurocomputing Luca Bergamin, Mirko Polato, Fabio Aiolli
2025	B	`conf`	Integrating Background Knowledge in Medical Semantic Segmentation with Logic Tensor Networks. IJCNN Luca Bergamin, Giovanna Maria Dimitri, Fabio Aiolli
2025	J	`jnl`	Integrating Background Knowledge in Medical Semantic Segmentation with Logic Tensor Networks. CoRR Luca Bergamin, Giovanna Maria Dimitri, Fabio Aiolli
2024	—	`conf`	Addressing Challenges in Image Translation for Contrast-Enhanced Mammography using Generative Adversarial Networks. HC@AIxIA Mohammad Hosseinipour, Luca Bergamin, Harel Kotler, Gisella Gennaro, Fabio Aiolli
2024	—	`conf`	Integrating L0 regularization into Multi-layer Logical Perceptron for Interpretable Classification. OVERLAY Gonzalo Jaimovitch-López, Luca Bergamin, Fabio Aiolli, Roberto Confalonieri
2024	J	`jnl`	LTNtorch: PyTorch Implementation of Logic Tensor Networks. CoRR Tommaso Carraro, Luciano Serafini, Fabio Aiolli
2024	—	`conf`	Mitigating Data Sparsity via Neuro-Symbolic Knowledge Transfer. ECIR (3) Tommaso Carraro, Alessandro Daniele, Fabio Aiolli, Luciano Serafini
2023	J	`jnl`	A systematic review of value-aware recommender systems. Expert Syst. Appl. Alvise De Biasio, Andrea Montagna, Fabio Aiolli, Nicolò Navarin
2023	—	`conf`	Graph-based Explainable Recommendation Systems: Are We Rigorously Evaluating Explanations? HCAI4U@CHItaly Andrea Montagna, Alvise De Biasio, Nicolò Navarin, Fabio Aiolli
2023	—	`conf`	Mitigating Data Sparsity via Neuro-Symbolic Knowledge Transfer. KaRS@RecSys Tommaso Carraro, Alessandro Daniele, Fabio Aiolli, Luciano Serafini
2022	J	`jnl`	An introduction to Deep Learning in Natural Language Processing: Models, techniques, and tools. Neurocomputing Ivano Lauriola, Alberto Lavelli, Fabio Aiolli
2022	B	`conf`	Bayes Point Rule Set Learning. ESANN Mirko Polato, Fabio Aiolli, Luca Bergamin, Tommaso Carraro
2022	J	`jnl`	Bayes Point Rule Set Learning. CoRR Fabio Aiolli, Luca Bergamin, Tommaso Carraro, Mirko Polato
2022	—	`conf`	Conditioned Variational Autoencoder for Top-N Item Recommendation. ICANN (2) Tommaso Carraro, Mirko Polato, Luca Bergamin, Fabio Aiolli
2022	—	`conf`	Logic Tensor Networks for Top-N Recommendation. AI*IA Tommaso Carraro, Alessandro Daniele, Fabio Aiolli, Luciano Serafini
2022	C	`conf`	Logic Tensor Networks for Top-N Recommendation. NeSy Tommaso Carraro, Alessandro Daniele, Fabio Aiolli, Luciano Serafini
2022	B	`conf`	Novel Applications for VAE-based Anomaly Detection Systems. IJCNN Luca Bergamin, Tommaso Carraro, Mirko Polato, Fabio Aiolli
2022	J	`jnl`	Novel Applications for VAE-based Anomaly Detection Systems. CoRR Luca Bergamin, Tommaso Carraro, Mirko Polato, Fabio Aiolli
2022	J	`jnl`	On the feasibility of crawling-based attacks against recommender systems. J. Comput. Secur. Fabio Aiolli, Mauro Conti, Stjepan Picek, Mirko Polato
2022	J	`jnl`	PRL: A game theoretic large margin method for interpretable feature learning. Neurocomputing Mirko Polato, Guglielmo Faggioli, Fabio Aiolli
2022	B	`conf`	Price direction prediction in financial markets, using Random Forest and Adaboost. ESANN Mohammadmahdi Ghahramani, Fabio Aiolli
2021	B	`conf`	Exploring the structure of BERT through Kernel Learning. IJCNN Ivano Lauriola, Alberto Lavelli, Alessandro Moschitti, Fabio Aiolli
2021	J	`jnl`	Learning adaptive representations for entity recognition in the biomedical domain. J. Biomed. Semant. Ivano Lauriola, Fabio Aiolli, Alberto Lavelli, Fabio Rinaldi
2021	B	`conf`	Privacy-Preserving Kernel Computation For Vertically Partitioned Data. ESANN Mirko Polato, Alberto Gallinaro, Fabio Aiolli
2021	J	`jnl`	Propositional Kernels. Entropy Mirko Polato, Fabio Aiolli
2020	—	`conf`	A Look Inside the Black-Box: Towards the Interpretability of Conditioned Variational Autoencoder for Collaborative Filtering. UMAP (Adjunct Publication) Tommaso Carraro, Mirko Polato, Fabio Aiolli
2020	B	`conf`	Automatic Detection of Cross-language Verbal Deception. CogSci Pasquale Capuozzo, Ivano Lauriola, Carlo Strapparava, Fabio Aiolli, Giuseppe Sartori
2020	—	`conf`	Big Enough to Care Not Enough to Scare! Crawling to Attack Recommender Systems. ESORICS (2) Fabio Aiolli, Mauro Conti, Stjepan Picek, Mirko Polato
2020	J	`jnl`	Conditioned Variational Autoencoder for top-N item recommendation. CoRR Mirko Polato, Tommaso Carraro, Fabio Aiolli
2020	B	`conf`	DecOp: A Multilingual and Multi-domain Corpus For Detecting Deception In Typed Text. LREC Pasquale Capuozzo, Ivano Lauriola, Carlo Strapparava, Fabio Aiolli, Giuseppe Sartori
2020	J	`jnl`	Enhancing deep neural networks via multiple kernel learning. Pattern Recognit. Ivano Lauriola, Claudio Gallicchio, Fabio Aiolli
2020	B	`conf`	Exploring the feature space of character-level embeddings. ESANN Ivano Lauriola, Stefano Campese, Alberto Lavelli, Fabio Rinaldi, Fabio Aiolli
2020	B	`conf`	Language processing in the era of deep learning. ESANN Ivano Lauriola, Alberto Lavelli, Fabio Aiolli
2020	J	`jnl`	Learning deep kernels in the space of monotone conjunctive polynomials. Pattern Recognit. Lett. Ivano Lauriola, Mirko Polato, Fabio Aiolli
2020	J	`jnl`	MKLpy: a python-based framework for Multiple Kernel Learning. CoRR Ivano Lauriola, Fabio Aiolli
2020	—	`conf`	Monotone Deep Spectrum Kernels. ICANN (1) Ivano Lauriola, Fabio Aiolli
2020	A	`conf`	Recency Aware Collaborative Filtering for Next Basket Recommendation. UMAP Guglielmo Faggioli, Mirko Polato, Fabio Aiolli
2019	—	`conf`	A Preference-Learning Framework for Modeling Relational Data. INNSBDDL Ivano Lauriola, Mirko Polato, Guglielmo Faggioli, Fabio Aiolli
2019	J	`jnl`	Boolean kernels for rule based interpretation of support vector machines. Neurocomputing Mirko Polato, Fabio Aiolli
2019	A*	`conf`	Efficient Online Learning for Mapping Kernels on Linguistic Structures. AAAI Giovanni Da San Martino, Alessandro Sperduti, Fabio Aiolli, Alessandro Moschitti
2019	—	`conf`	Evaluation of Tag Clusterings for User Profiling in Movie Recommendation. ICANN (Workshop) Guglielmo Faggioli, Mirko Polato, Ivano Lauriola, Fabio Aiolli
2019	A*	`conf`	Interpretable Preference Learning: A Game Theoretic Framework for Large Margin On-Line Feature and Rule Learning. AAAI Mirko Polato, Fabio Aiolli
2019	Misc	`conf`	Mind your wallet's privacy: identifying Bitcoin wallet apps and user's actions through network traffic analysis. SAC Fabio Aiolli, Mauro Conti, Ankit Gangwal, Mirko Polato
2019	—	`conf`	Playing the Large Margin Preference Game. ICANN (2) Mirko Polato, Guglielmo Faggioli, Ivano Lauriola, Fabio Aiolli
2019	—	`conf`	Psychiatric Disorders Classification with 3D Convolutional Neural Networks. INNSBDDL Stefano Campese, Ivano Lauriola, Cristina Scarpazza, Giuseppe Sartori, Fabio Aiolli
2019	—	`conf`	Tag-Based User Profiling: A Game Theoretic Approach. UMAP (Adjunct Publication) Guglielmo Faggioli, Mirko Polato, Fabio Aiolli
2018	—	`conf`	A Game-Theoretic Framework for Interpretable Preference and Feature Learning. ICANN (1) Mirko Polato, Fabio Aiolli
2018	J	`jnl`	A Novel Boolean Kernels Family for Categorical Data. Entropy Mirko Polato, Ivano Lauriola, Fabio Aiolli
2018	J	`jnl`	Advances in artificial neural networks, machine learning and computational intelligence. Neurocomputing Fabio Aiolli, Michael Biehl, Luca Oneto
2018	J	`jnl`	Boolean kernels for collaborative filtering in top-N item recommendation. Neurocomputing Mirko Polato, Fabio Aiolli
2018	B	`conf`	Boolean kernels for interpretable kernel machines. ESANN Mirko Polato, Fabio Aiolli
2018	—	`conf`	Efficient Similarity Based Methods For The Playlist Continuation Task. RecSys Challenge Guglielmo Faggioli, Mirko Polato, Fabio Aiolli
2018	J	`jnl`	Interpretable preference learning: a game theoretic framework for large margin on-line feature and rule learning. CoRR Mirko Polato, Fabio Aiolli
2018	—	`conf`	Learning Preferences for Large Scale Multi-label Problems. ICANN (1) Ivano Lauriola, Mirko Polato, Alberto Lavelli, Fabio Rinaldi, Fabio Aiolli
2018	—	`conf`	Learning Representations for Biomedical NER. NL4AI@AI*IA Ivano Lauriola, Riccardo Sella, Fabio Aiolli, Alberto Lavelli, Fabio Rinaldi
2018	J	`jnl`	Learning With Kernels: A Local Rademacher Complexity-Based Analysis With Application to Graph Kernels. IEEE Trans. Neural Networks Learn. Syst. Luca Oneto, Nicolò Navarin, Michele Donini, Sandro Ridella, Alessandro Sperduti, Fabio Aiolli, Davide Anguita
2018	J	`jnl`	Scuba: scalable kernel-based gene prioritization. BMC Bioinform. Guido Zampieri, Dinh Tran-Van, Michele Donini, Nicolò Navarin, Fabio Aiolli, Alessandro Sperduti, Giorgio Valle
2018	B	`conf`	The minimum effort maximum output principle applied to Multiple Kernel Learning. ESANN Ivano Lauriola, Mirko Polato, Fabio Aiolli
2017	J	`jnl`	Advances in artificial neural networks, machine learning and computational intelligence. Neurocomputing Fabio Aiolli, Gaëlle Bonnet-Loosli, Romain Hérault
2017	—	`conf`	Classification of Categorical Data in the Feature Space of Monotone DNFs. ICANN (2) Mirko Polato, Ivano Lauriola, Fabio Aiolli
2017	—	`conf`	Disjunctive Boolean Kernels-based Collaborative Filtering for top-N Item Recommendation. IIR Mirko Polato, Fabio Aiolli
2017	J	`jnl`	Exploiting sparsity to build efficient kernel based collaborative filtering for top-N item recommendation. Neurocomputing Mirko Polato, Fabio Aiolli
2017	B	`conf`	Fast hyperparameter selection for graph kernels via subsampling and multiple kernel learning. ESANN Michele Donini, Nicolò Navarin, Ivano Lauriola, Fabio Aiolli, Fabrizio Costa
2017	J	`jnl`	Learning deep kernels in the space of dot product polynomials. Mach. Learn. Michele Donini, Fabio Aiolli
2017	B	`conf`	Learning dot-product polynomials for multiclass problems. ESANN Ivano Lauriola, Michele Donini, Fabio Aiolli
2017	J	`jnl`	Measuring the expressivity of graph kernels through Statistical Learning Theory. Neurocomputing Luca Oneto, Nicolò Navarin, Michele Donini, Alessandro Sperduti, Fabio Aiolli, Davide Anguita
2017	—	`conf`	Radius-Margin Ratio Optimization for Dot-Product Boolean Kernel Learning. ICANN (2) Ivano Lauriola, Mirko Polato, Fabio Aiolli
2016	—	`conf`	A preliminary study on a recommender system for the job recommendation challenge. RecSys Challenge Mirko Polato, Fabio Aiolli
2016	B	`conf`	Advances in Learning with Kernels: Theory and Practice in a World of growing Constraints. ESANN Luca Oneto, Nicolò Navarin, Michele Donini, Fabio Aiolli, Davide Anguita
2016	J	`jnl`	Disjunctive Boolean Kernels for Collaborative Filtering in Top-N Recommendation. CoRR Mirko Polato, Fabio Aiolli
2016	J	`jnl`	Exploiting sparsity to build efficient kernel based collaborative filtering for top-N item recommendation. CoRR Mirko Polato, Fabio Aiolli
2016	B	`conf`	Kernel based collaborative filtering for very large scale top-N item recommendation. ESANN Fabio Aiolli, Mirko Polato
2016	B	`conf`	Measuring the Expressivity of Graph Kernels through the Rademacher Complexity. ESANN Luca Oneto, Nicolò Navarin, Michele Donini, Alessandro Sperduti, Fabio Aiolli, Davide Anguita
2016	J	`jnl`	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 Fabio Aiolli, Kerstin Bunte, Romain Hérault, Mikhail F. Kanevski
2016	J	`jnl`	Stairstep recognition and counting in a serious Game for increasing users' physical activity. Pers. Ubiquitous Comput. Matteo Ciman, Michele Donini, Ombretta Gaggi, Fabio Aiolli
2015	J	`jnl`	An Efficient Topological Distance-Based Tree Kernel. IEEE Trans. Neural Networks Learn. Syst. Fabio Aiolli, Giovanni Da San Martino, Alessandro Sperduti
2015	J	`jnl`	EasyMKL: a scalable multiple kernel learning algorithm. Neurocomputing Fabio Aiolli, Michele Donini
2015	B	`conf`	Feature and kernel learning. ESANN Verónica Bolón-Canedo, Michele Donini, Fabio Aiolli
2015	—	`conf`	Multiple Graph-Kernel Learning. SSCI Fabio Aiolli, Michele Donini, Nicolò Navarin, Alessandro Sperduti
2014	C	`conf`	ClimbTheWorld: real-time stairstep counting to increase physical activity. MobiQuitous Fabio Aiolli, Matteo Ciman, Michele Donini, Ombretta Gaggi
2014	A	`conf`	Convex AUC optimization for top-N recommendation with implicit feedback. RecSys Fabio Aiolli
2014	B	`conf`	Easy multiple kernel learning. ESANN Fabio Aiolli, Michele Donini
2014	C	`conf`	Learning Anisotropic RBF Kernels. ICANN Fabio Aiolli, Michele Donini
2013	—	`conf`	A Preliminary Study on a Recommender System for the Million Songs Dataset Challenge. IIR Fabio Aiolli
2013	A	`conf`	Efficient top-n recommendation for very large scale binary rated datasets. RecSys Fabio Aiolli
2012	J	`jnl`	Improving biomarker list stability by integration of biological knowledge in the learning process. BMC Bioinform. Tiziana Sanavia, Fabio Aiolli, Giovanni Da San Martino, Andrea Bisognin, Barbara Di Camillo
2012	—	`conf`	Transfer Learning by Kernel Meta-Learning. ICML Unsupervised and Transfer Learning Fabio Aiolli
2011	—	`conf`	A Business Process Metric Based on the Alpha Algorithm Relations. Business Process Management Workshops (1) Fabio Aiolli, Andrea Burattin, Alessandro Sperduti
2011	—	`conf`	Extending Tree Kernels with Topological Information. ICANN (1) Fabio Aiolli, Giovanni Da San Martino, Alessandro Sperduti
2010	—	`conf`	A New Tree Kernel Based on SOM-SD. ICANN (2) Fabio Aiolli, Giovanni Da San Martino, Alessandro Sperduti
2010	—	`ch.`	A Preference Optimization Based Unifying Framework for Supervised Learning Problems. Preference Learning Fabio Aiolli, Alessandro Sperduti
2009	—	`ch.`	A case study on the System for Paleographic Inspections (SPI): challenges and new developments. Computational Intelligence and Bioengineering Fabio Aiolli, Arianna Ciula
2009	C	`conf`	Application of the preference learning model to a human resources selection task. CIDM Fabio Aiolli, Michele De Filippo De Grazia, Alessandro Sperduti
2009	J	`jnl`	Enhancing Artificial Intelligence on a Real Mobile Game. Int. J. Comput. Games Technol. Fabio Aiolli, Claudio E. Palazzi
2009	J	`jnl`	Learning Nonsparse Kernels by Self-Organizing Maps for Structured Data. IEEE Trans. Neural Networks Fabio Aiolli, Giovanni Da San Martino, Markus Hagenbuchner, Alessandro Sperduti
2009	J	`jnl`	Preferential Text Classification: Learning Algorithms and Evaluation Measures. ERCIM News Fabio Aiolli, Riccardo Cardin, Fabrizio Sebastiani, Alessandro Sperduti
2009	J	`jnl`	Preferential text classification: learning algorithms and evaluation measures. Inf. Retr. Fabio Aiolli, Riccardo Cardin, Fabrizio Sebastiani, Alessandro Sperduti
2009	A*	`conf`	Route kernels for trees. ICML Fabio Aiolli, Giovanni Da San Martino, Alessandro Sperduti
2009	—	`ch.`	Self-Organizing Maps for Structured Domains: Theory, Models, and Learning of Kernels. Innovations in Neural Information Paradigms and Applications Fabio Aiolli, Giovanni Da San Martino, Markus Hagenbuchner, Alessandro Sperduti
2009	B	`conf`	Supervised learning as preference optimization. ESANN Fabio Aiolli, Alessandro Sperduti
2008	—	`conf`	A Kernel Method for the Optimization of the Margin Distribution. ICANN (1) Fabio Aiolli, Giovanni Da San Martino, Alessandro Sperduti
2008	—	`conf`	Enhancing Artificial Intelligence in Games by Learning the Opponent's Playing Style. ECS Fabio Aiolli, Claudio Enrico Palazzi
2007	B	`conf`	"Kernelized" Self-Organizing Maps for Structured Data. ESANN Fabio Aiolli, Giovanni Da San Martino, Alessandro Sperduti, Markus Hagenbuchner
2007	C	`conf`	Efficient Kernel-based Learning for Trees. CIDM Fabio Aiolli, Giovanni Da San Martino, Alessandro Sperduti, Alessandro Moschitti
2007	B	`conf`	Preference Learning for Category-Ranking based Interactive Text Categorization. IJCNN Fabio Aiolli, Fabrizio Sebastiani, Alessandro Sperduti
2006	A*	`conf`	Fast On-line Kernel Learning for Trees. ICDM Fabio Aiolli, Giovanni Da San Martino, Alessandro Sperduti, Alessandro Moschitti
2005	A*	`conf`	A Preference Model for Structured Supervised Learning Tasks. ICDM Fabio Aiolli
2005	J	`jnl`	Multiclass Classification with Multi-Prototype Support Vector Machines. J. Mach. Learn. Res. Fabio Aiolli, Alessandro Sperduti
2004	—	`—`	Large margin multiclass learning. Fabio Aiolli
2004	—	`conf`	Learning Preferences for Multiclass Problems. NIPS Fabio Aiolli, Alessandro Sperduti
2003	A*	`conf`	Multi-prototype Support Vector Machine. IJCAI Fabio Aiolli, Alessandro Sperduti
2002	J	`jnl`	A re-weighting strategy for improving margins. Artif. Intell. Fabio Aiolli, Alessandro Sperduti
2002	—	`conf`	An efficient SMO-like algorithm for multiclass SVM. NNSP Fabio Aiolli, Alessandro Sperduti
2001	A*	`conf`	A Simple Additive Re-weighting Strategy for Improving Margins. IJCAI Fabio Aiolli, Alessandro Sperduti