Luca Oneto - RankMe

210 papers A* 7B 62C 6Journal 89Unranked 42

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	HORNET: Fast and minimal adversarial perturbations. Inf. Sci. Jiaping Wu, Antonio Emanuele Cinà, Francesco Villani, Zhaoqiang Xia, Luca Demetrio, Luca Oneto, Davide Anguita, Fabio Roli, Xiaoyi Feng
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	J	`jnl`	Poison once, fool many: Practical poisoning attacks against text-to-image retrieval systems. Knowl. Based Syst. Dario Lazzaro, Raffaele Mura, Antonio Emanuele Cinà, Giuseppe Laurita, Gianni Viardo Vercelli, Luca Oneto, Battista Biggio, Fabio Roli
2026	J	`jnl`	Reconciling grokking with statistical learning theory through the lens of norm- and stability-based generalization bounds. Neurocomputing Luca Oneto, Sandro Ridella, Simone Minisi, Andrea Coraddu, Davide Anguita
2026	A*	`conf`	SOM Directions Are Better than One: Multi-Directional Refusal Suppression in Language Models. AAAI Giorgio Piras, Raffaele Mura, Fabio Brau, Luca Oneto, Fabio Roli, Battista Biggio
2025	J	`jnl`	A review on full-, zero-, and partial-knowledge based predictive models for industrial applications. Inf. Fusion Stefano Zampini, Guido Parodi, Luca Oneto, Andrea Coraddu, Davide Anguita
2025	J	`jnl`	DBSCAN and DBCV application to open medical records heterogeneous data for identifying clinically significant clusters of patients with neuroblastoma. BioData Min. Davide Chicco, Luca Oneto, Davide Cangelosi
2025	—	`conf`	Demystifying the Role of Rule-Based Detection in AI Systems for Windows Malware Detection. EuroS&P (Workshops) Andrea Ponte, Luca Demetrio, Luca Oneto, Ivan Tesfai Ogbu, Battista Biggio, Fabio Roli
2025	J	`jnl`	Demystifying the Role of Rule-based Detection in AI Systems for Windows Malware Detection. CoRR Andrea Ponte, Luca Demetrio, Luca Oneto, Ivan Tesfai Ogbu, Battista Biggio, Fabio Roli
2025	—	`conf`	Dynamical Systems Behavior Prediction: Machine Learning and Koopman Operator. SoSE Enrico Zero, Luca Oneto, Roberto Sacile, Davide Anguita
2025	J	`jnl`	Eight quick tips for biologically and medically informed machine learning. PLoS Comput. Biol. Luca Oneto, Davide Chicco
2025	J	`jnl`	Empirical Quantification of Spurious Correlations in Malware Detection. CoRR Bianca Perasso, Ludovico Lozza, Andrea Ponte, Luca Demetrio, Luca Oneto, Fabio Roli
2025	—	`conf`	Empirical quantification of spurious correlations in malware detection. Ital-IA Bianca Perasso, Ludovico Lozza, Andrea Ponte, Luca Demetrio, Luca Oneto, Fabio Roli
2025	J	`jnl`	Informed Machine Learning: Excess risk and generalization. Neurocomputing Luca Oneto, Sandro Ridella, Davide Anguita
2025	J	`jnl`	Nine quick tips for trustworthy machine learning in the biomedical sciences. PLoS Comput. Biol. Luca Oneto, Davide Chicco
2025	—	`conf`	Physics Informed Machine Learning for Power Flow Analysis: Injecting Knowledge via Pre-, In-, and Post-processing. IWANN (2) Guido Parodi, Giulio Ferro, Michela Robba, Andrea Coraddu, Francesca Cipollini, Davide Anguita, Luca Oneto
2025	—	`conf`	Provably Efficient and Robust Conformal Prediction under a Realistic Threat Model. COPA Alberto Carlevaro, Luca Oneto, Davide Anguita, Fabio Roli
2025	J	`jnl`	Robustness-Congruent Adversarial Training for Secure Machine Learning Model Updates. IEEE Trans. Pattern Anal. Mach. Intell. Daniele Angioni, Luca Demetrio, Maura Pintor, Luca Oneto, Davide Anguita, Battista Biggio, Fabio Roli
2025	J	`jnl`	SOM Directions are Better than One: Multi-Directional Refusal Suppression in Language Models. CoRR Giorgio Piras, Raffaele Mura, Fabio Brau, Luca Oneto, Fabio Roli, Battista Biggio
2025	J	`jnl`	The DBCV index is more informative than DCSI, CDbw, and VIASCKDE indices for unsupervised clustering internal assessment of concave-shaped and density-based clusters. PeerJ Comput. Sci. Davide Chicco, Giuseppe Sabino, Luca Oneto, Giuseppe Jurman
2025	J	`jnl`	Training-Free Constrained Generation With Stable Diffusion Models. CoRR Stefano Zampini, Jacob Christopher, Luca Oneto, Davide Anguita, Ferdinando Fioretto
2024	J	`jnl`	Advances in artificial neural networks, machine learning and computational intelligence. Neurocomputing Nicolò Navarin, Dounia Mulders, Luca Oneto
2024	J	`jnl`	Computationally Aware Surrogate Models for the Hydrodynamic Response Characterization of Floating Spar-Type Offshore Wind Turbine. IEEE Access Davide Ilardi, Miltiadis Kalikatzarakis, Luca Oneto, Maurizio Collu, Andrea Coraddu
2024	J	`jnl`	Data-Driven Models for Yacht Hull Resistance Optimization: Exploring Geometric Parameters Beyond the Boundaries of the Delft Systematic Yacht Hull Series. IEEE Access Jake M. Walker, Andrea Coraddu, Luca Oneto
2024	J	`jnl`	Fair graph representation learning: Empowering NIFTY via Biased Edge Dropout and Fair Attribute Preprocessing. Neurocomputing Danilo Franco, Vincenzo Stefano D'Amato, Luca Pasa, Nicolò Navarin, Luca Oneto
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	B	`conf`	Informed Machine Learning: Excess Risk and Generalization. ESANN Luca Oneto, Davide Anguita, Sandro Ridella
2024	J	`jnl`	Investigating over-parameterized randomized graph networks. Neurocomputing Giovanni Donghi, Luca Pasa, Luca Oneto, Claudio Gallicchio, Alessio Micheli, Davide Anguita, Alessandro Sperduti, Nicolò Navarin
2024	C	`conf`	Mitigating Unfair Regression in Machine Learning Model Updates. ICMLA Irene Buselli, Anna Pallarès López, Eduard Martín Jiménez, Davide Anguita, Fabio Roli, Luca Oneto
2024	J	`jnl`	Over-parameterization and Adversarial Robustness in Neural Networks: An Overview and Empirical Analysis. CoRR Zhang Chen, Luca Demetrio, Srishti Gupta, Xiaoyi Feng, Zhaoqiang Xia, Antonio Emanuele Cinà, Maura Pintor, Luca Oneto, Ambra Demontis, Battista Biggio, Fabio Roli
2024	J	`jnl`	Robustness-Congruent Adversarial Training for Secure Machine Learning Model Updates. CoRR Daniele Angioni, Luca Demetrio, Maura Pintor, Luca Oneto, Davide Anguita, Battista Biggio, Fabio Roli
2024	C	`conf`	Toward Measuring and Understanding the Overvalidation Phenomena. ICMLA Fabrizio Mori, Antonio Emanuele Cinà, Fabio Roli, Davide Anguita, Luca Oneto
2024	J	`jnl`	Towards algorithms and models that we can trust: A theoretical perspective. Neurocomputing Luca Oneto, Sandro Ridella, Davide Anguita
2024	—	`conf`	Traffic Simulator AI-Based Surrogate for an Urban Road Network. ITSC F. Cantatore, G. Raimondi, Luca Oneto, Andrea Coraddu, Cecilia Pasquale, Enrico Siri, Silvia Siri, Simona Sacone, Davide Anguita
2023	B	`conf`	An Empirical Study of Over-Parameterized Neural Models based on Graph Random Features. ESANN Nicolò Navarin, Luca Pasa, Luca Oneto, Alessandro Sperduti
2023	J	`jnl`	Do we really need a new theory to understand over-parameterization? Neurocomputing Luca Oneto, Sandro Ridella, Davide Anguita
2023	—	`conf`	Fair Empirical Risk Minimization Revised. IWANN (1) Danilo Franco, Luca Oneto, Davide Anguita
2023	J	`jnl`	Human Movement Datasets: An Interdisciplinary Scoping Review. ACM Comput. Surv. Temitayo A. Olugbade, Marta Bienkiewicz, Giulia Barbareschi, Vincenzo Stefano D'Amato, Luca Oneto, Antonio Camurri, Catherine Holloway, Mårten Björkman, Peter E. Keller, Martin Clayton, Amanda C. de C. Williams, Nicolas Gold, Cristina Becchio, Benoît G. Bardy, Nadia Bianchi-Berthouze
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	—	`book`	Introduzione al Progetto di Sistemi Digitali, 2a Edition Giuliano Donzellini, Luca Oneto, Domenico Ponta, Davide Anguita
2023	B	`conf`	Mitigating Robustness Bias: Theoretical Results and Empirical Evidences. ESANN Danilo Franco, Luca Oneto, Davide Anguita
2023	J	`jnl`	On the problem of recommendation for sensitive users and influential items: Simultaneously maintaining interest and diversity. Knowl. Based Syst. Alvise De Biasio, Merylin Monaro, Luca Oneto, Lamberto Ballan, Nicolò Navarin
2023	—	`conf`	PhishVision: A Deep Learning Based Visual Brand Impersonation Detector for Identifying Phishing Attacks. OL2A (1) Giovanni Graziano, Daniele Ucci, Federica Bisio, Luca Oneto
2023	J	`jnl`	Physically plausible propeller noise prediction via recursive corrections leveraging prior knowledge and experimental data. Eng. Appl. Artif. Intell. Miltiadis Kalikatzarakis, Andrea Coraddu, Mehmet Atlar, Stefano Gaggero, Giorgio Tani, Luca Oneto
2023	—	`conf`	Physics Informed Data Driven Techniques for Power Flow Analysis. SSCI Guido Parodi, Luca Oneto, Giulio Ferro, Stefano Zampini, Michela Robba, Davide Anguita, Andrea Coraddu
2023	B	`conf`	Short-term Forecast and Long-term Simulation for Accurate Energy Consumption Prediction. DSAA Daniele Giampaoli, Francesca Cipollini, Denise Maffione, Luca Oneto
2023	B	`conf`	Towards Randomized Algorithms and Models that We Can Trust: a Theoretical Perspective. ESANN Luca Oneto, Sandro Ridella, Davide Anguita
2022	—	`conf`	A Cloud Architecture for Emotion Recognition Based on the Appraisal Theory (short paper). AIRO@AI*IA Marco Demutti, Vincenzo Stefano D'Amato, Carmine Tommaso Recchiuto, Luca Oneto, Antonio Sgorbissa
2022	J	`jnl`	Advances in artificial neural networks, machine learning and computational intelligence. Neurocomputing Luca Oneto, Kerstin Bunte, Nicolò Navarin
2022	J	`jnl`	Advances in artificial neural networks, machine learning and computational intelligence. Neurocomputing Luca Oneto, Nicolò Navarin, Frank-Michael Schleif
2022	B	`conf`	Assessing Emotions in Human-Robot Interaction Based on the Appraisal Theory. RO-MAN Marco Demutti, Vincenzo Stefano D'Amato, Carmine Recchiuto, Luca Oneto, Antonio Sgorbissa
2022	B	`conf`	Biased Edge Dropout in NIFTY for Fair Graph Representation Learning. ESANN Federico Caldart, Luca Pasa, Luca Oneto, Alessandro Sperduti, Nicolò Navarin
2022	—	`conf`	Culture Awareness in Intelligent Systems (short paper). AIRO@AI*IA Ariel Gjaci, Luca Oneto, Carmine Tommaso Recchiuto, Antonio Sgorbissa
2022	—	`conf`	Data-Driven Methods for Aviation Safety: From Data to Knowledge. SYSINT Irene Buselli, Luca Oneto, Carlo Dambra, Christian Verdonk Gallego, Miguel Garcia Martinez
2022	B	`conf`	Deep Learning for the Generation of Heuristics in Answer Set Programming: A Case Study of Graph Coloring. LPNMR Carmine Dodaro, Davide Ilardi, Luca Oneto, Francesco Ricca
2022	J	`jnl`	Deep fair models for complex data: Graphs labeling and explainable face recognition. Neurocomputing Danilo Franco, Nicolò Navarin, Michele Donini, Davide Anguita, Luca Oneto
2022	B	`conf`	Do We Really Need a New Theory to Understand the Double-Descent? ESANN Luca Oneto, Sandro Ridella, Davide Anguita
2022	J	`jnl`	Eleven quick tips for data cleaning and feature engineering. PLoS Comput. Biol. Davide Chicco, Luca Oneto, Erica Tavazzi
2022	J	`jnl`	Identifying the Determinants of Innovation Capability With Machine Learning and Patents. IEEE Trans. Engineering Management Linda Ponta, Gloria Puliga, Luca Oneto, Raffaella Manzini
2022	J	`jnl`	Optimizing Fuel Consumption in Thrust Allocation for Marine Dynamic Positioning Systems. IEEE Trans Autom. Sci. Eng. Miltiadis Kalikatzarakis, Andrea Coraddu, Luca Oneto, Davide Anguita
2022	B	`conf`	Simple Non Regressive Informed Machine Learning Model for Predictive Maintenance of Railway Critical Assets. ESANN Luca Oneto, Simone Minisi, Andrea Garrone, Renzo Canepa, Carlo Dambra, Davide Anguita
2022	—	`conf`	Simple Non Regressive Informed Machine Learning Model for Prescriptive Maintenance of Track Circuits in a Subway Environment. SYSINT Andrea Garrone, Simone Minisi, Luca Oneto, Carlo Dambra, Marco Borinato, Paolo Sanetti, Giulia Vignola, Federico Papa, Nadia Mazzino, Davide Anguita
2022	B	`conf`	The Importance of Multiple Temporal Scales in Motion Recognition: from Shallow to Deep Multi Scale Models. IJCNN Vincenzo Stefano D'Amato, Luca Oneto, Antonio Camurri, Davide Anguita, Zinat Zarandi, Luciano Fadiga, Alessandro D'Ausilio, Thierry Pozzo
2022	B	`conf`	The Importance of Multiple Temporal Scales in Motion Recognition: when Shallow Model can Support Deep Multi Scale Models. IJCNN Vincenzo Stefano D'Amato, Luca Oneto, Antonio Camurri, Davide Anguita
2022	J	`jnl`	The benefits of adversarial defense in generalization. Neurocomputing Luca Oneto, Sandro Ridella, Davide Anguita
2022	J	`jnl`	Towards learning trustworthily, automatically, and with guarantees on graphs: An overview. Neurocomputing Luca Oneto, Nicolò Navarin, Battista Biggio, Federico Errica, Alessio Micheli, Franco Scarselli, Monica Bianchini, Luca Demetrio, Pietro Bongini, Armando Tacchella, Alessandro Sperduti
2021	J	`jnl`	A Machine Learning Analysis of Health Records of Patients With Chronic Kidney Disease at Risk of Cardiovascular Disease. IEEE Access Davide Chicco, Christopher A. Lovejoy, Luca Oneto
2021	B	`conf`	A Planning-based Approach for In-Station Train Dispatching. SOCS Matteo Cardellini, Marco Maratea, Mauro Vallati, Gianluca Boleto, Luca Oneto
2021	—	`conf`	Accuracy and Intrusiveness in Data-Driven Violin Players Skill Levels Prediction: MOCAP Against MYO Against KINECT. IWANN (2) Vincenzo Stefano D'Amato, Erica Volta, Luca Oneto, Gualtiero Volpe, Antonio Camurri, Davide Anguita
2021	—	`conf`	An Efficient Hybrid Planning Framework for In-Station Train Dispatching. ICCS (1) Matteo Cardellini, Marco Maratea, Mauro Vallati, Gianluca Boleto, Luca Oneto
2021	J	`jnl`	An Enhanced Random Forests Approach to Predict Heart Failure From Small Imbalanced Gene Expression Data. IEEE ACM Trans. Comput. Biol. Bioinform. Davide Chicco, Luca Oneto
2021	B	`conf`	Complex Data: Learning Trustworthily, Automatically, and with Guarantees. ESANN Luca Oneto, Nicolò Navarin, Battista Biggio, Federico Errica, Alessio Micheli, Franco Scarselli, Monica Bianchini, Alessandro Sperduti
2021	J	`jnl`	Computational intelligence identifies alkaline phosphatase (ALP), alpha-fetoprotein (AFP), and hemoglobin levels as most predictive survival factors for hepatocellular carcinoma. Health Informatics J. Davide Chicco, Luca Oneto
2021	J	`jnl`	Data analytics and clinical feature ranking of medical records of patients with sepsis. BioData Min. Davide Chicco, Luca Oneto
2021	J	`jnl`	Distribution-Dependent Weighted Union Bound. Entropy Luca Oneto, Sandro Ridella
2021	A*	`conf`	In-Station Train Dispatching: A PDDL+ Planning Approach. ICAPS Matteo Cardellini, Marco Maratea, Mauro Vallati, Gianluca Boleto, Luca Oneto
2021	B	`conf`	In-Station Train Movements Prediction: from Shallow to Deep Multi Scale Models. ESANN Gianluca Boleto, Luca Oneto, Matteo Cardellini, Marco Maratea, Mauro Vallati, Renzo Canepa, Davide Anguita
2021	—	`conf`	Keep it Simple: Handcrafting Feature and Tuning Random Forests and XGBoost to face the Affective Movement Recognition Challenge 2021. ACII (Workshops and Demos) Vincenzo Stefano D'Amato, Luca Oneto, Antonio Camurri, Davide Anguita
2021	B	`conf`	Learn and Visually Explain Deep Fair Models: an Application to Face Recognition. IJCNN Danilo Franco, Luca Oneto, Nicolò Navarin, Davide Anguita
2021	J	`jnl`	Marine dual fuel engines monitoring in the wild through weakly supervised data analytics. Eng. Appl. Artif. Intell. Andrea Coraddu, Luca Oneto, Davide Ilardi, Sokratis Stoumpos, Gerasimos Theotokatos
2021	B	`conf`	The Benefits of Adversarial Defence in Generalisation. ESANN Luca Oneto, Sandro Ridella, Davide Anguita
2021	J	`jnl`	Toward Learning Trustworthily from Data Combining Privacy, Fairness, and Explainability: An Application to Face Recognition. Entropy Danilo Franco, Luca Oneto, Nicolò Navarin, Davide Anguita
2020	J	`jnl`	A dynamic, interpretable, and robust hybrid data analytics system for train movements in large-scale railway networks. Int. J. Data Sci. Anal. Luca Oneto, Irene Buselli, Alessandro Lulli, Renzo Canepa, Simone Petralli, Davide Anguita
2020	J	`jnl`	Advances in artificial neural networks, machine learning and computational intelligence. Neurocomputing Luca Oneto, Kerstin Bunte, Alessandro Sperduti
2020	B	`conf`	Deep Learning for Cavitating Marine Propeller Noise Prediction at Design Stage. IJCNN Luca Oneto, Francesca Cipollini, Leonardo Miglianti, Giorgio Tani, Stefano Gaggero, Michele Viviani, Andrea Coraddu
2020	A*	`conf`	Exploiting MMD and Sinkhorn Divergences for Fair and Transferable Representation Learning. NeurIPS Luca Oneto, Michele Donini, Giulia Luise, Carlo Ciliberto, Andreas Maurer, Massimiliano Pontil
2020	J	`jnl`	Fair Regression with Wasserstein Barycenters. CoRR Evgenii Chzhen, Christophe Denis, Mohamed Hebiri, Luca Oneto, Massimiliano Pontil
2020	A*	`conf`	Fair regression via plug-in estimator and recalibration with statistical guarantees. NeurIPS Evgenii Chzhen, Christophe Denis, Mohamed Hebiri, Luca Oneto, Massimiliano Pontil
2020	A*	`conf`	Fair regression with Wasserstein barycenters. NeurIPS Evgenii Chzhen, Christophe Denis, Mohamed Hebiri, Luca Oneto, Massimiliano Pontil
2020	J	`jnl`	Fairness in Machine Learning. CoRR Luca Oneto, Silvia Chiappa
2020	B	`conf`	General Fair Empirical Risk Minimization. IJCNN Luca Oneto, Michele Donini, Massimiliano Pontil
2020	B	`conf`	Improving the Union Bound: a Distribution Dependent Approach. ESANN Luca Oneto, Sandro Ridella, Davide Anguita
2020	B	`conf`	Learning Deep Fair Graph Neural Networks. ESANN Luca Oneto, Nicolò Navarin, Michele Donini
2020	B	`conf`	Learning Fair and Transferable Representations with Theoretical Guarantees. DSAA Luca Oneto, Michele Donini, Massimiliano Pontil, Andreas Maurer
2020	J	`jnl`	Learning fair models and representations. Intelligenza Artificiale Luca Oneto
2020	J	`jnl`	Low-Resource Footprint, Data-Driven Malware Detection on Android. IEEE Trans. Sustain. Comput. Simone Aonzo, Alessio Merlo, Mauro Migliardi, Luca Oneto, Francesco Palmieri
2020	J	`jnl`	Randomized learning and generalization of fair and private classifiers: From PAC-Bayes to stability and differential privacy. Neurocomputing Luca Oneto, Michele Donini, Massimiliano Pontil, John Shawe-Taylor
2020	—	`ed.`	Recent Advances in Big Data and Deep Learning, Proceedings of the INNS Big Data and Deep Learning Conference INNSBDDL 2019, held at Sestri Levante, Genova, Italy 16-18 April 2019. INNSBDDL Luca Oneto, Nicolò Navarin, Alessandro Sperduti, Davide Anguita
2020	—	`ed.`	Recent Trends in Learning From Data - Tutorials from the INNS Big Data and Deep Learning Conference (INNSBDDL 2019) INNSBDDL (Tutorials) Luca Oneto, Nicolò Navarin, Alessandro Sperduti, Davide Anguita
2020	B	`conf`	Towards Online Discovery of Data-Aware Declarative Process Models from Event Streams. IJCNN Nicolò Navarin, Matteo Cambiaso, Andrea Burattin, Fabrizio Maria Maggi, Luca Oneto, Alessandro Sperduti
2020	J	`jnl`	Understanding Violin Players' Skill Level Based on Motion Capture: a Data-Driven Perspective. Cogn. Comput. Vincenzo Stefano D'Amato, Erica Volta, Luca Oneto, Gualtiero Volpe, Antonio Camurri, Davide Anguita
2019	J	`jnl`	Advances in artificial neural networks, machine learning and computational intelligence: Selected papers from the 26 Neurocomputing Luca Oneto, Kerstin Bunte, Frank-Michael Schleif
2019	—	`conf`	Cavitation Noise Spectra Prediction with Hybrid Models. INNSBDDL Francesca Cipollini, Fabiana Miglianti, Luca Oneto, Giorgio Tani, Michele Viviani, Davide Anguita
2019	B	`conf`	Ensemble Application of Transfer Learning and Sample Weighting for Stock Market Prediction. IJCNN Simone Merello, Andrea Picasso Ratto, Luca Oneto, Erik Cambria
2019	B	`conf`	Fairness and Accountability of Machine Learning Models in Railway Market: are Applicable Railway Laws Up to Regulate Them? ESANN Charlotte Ducuing, Luca Oneto, Renzo Canepa
2019	—	`conf`	Fairness in Machine Learning. INNSBDDL (Tutorials) Luca Oneto, Silvia Chiappa
2019	J	`jnl`	General Fair Empirical Risk Minimization. CoRR Luca Oneto, Michele Donini, Massimiliano Pontil
2019	B	`conf`	Hybrid Model for Cavitation Noise Spectra Prediction. IJCNN Francesca Cipollini, Fabiana Miglianti, Luca Oneto, Giorgio Tani, Michele Viviani
2019	—	`conf`	Improving Railway Maintenance Actions with Big Data and Distributed Ledger Technologies. INNSBDDL Roberto Spigolon, Luca Oneto, Dimitar Anastasovski, Nadia Fabrizio, Marie Swiatek, Renzo Canepa, Davide Anguita
2019	—	`conf`	Innovation Capability of Firms: A Big Data Approach with Patents. INNSBDDL Linda Ponta, Gloria Puliga, Luca Oneto, Raffaella Manzini
2019	—	`conf`	Introduction. INNSBDDL (Tutorials) Luca Oneto, Nicolò Navarin, Alessandro Sperduti, Davide Anguita
2019	J	`jnl`	Learning Fair and Transferable Representations. CoRR Luca Oneto, Michele Donini, Andreas Maurer, Massimiliano Pontil
2019	A*	`conf`	Leveraging Labeled and Unlabeled Data for Consistent Fair Binary Classification. NeurIPS Evgenii Chzhen, Christophe Denis, Mohamed Hebiri, Luca Oneto, Massimiliano Pontil
2019	J	`jnl`	Local Rademacher Complexity Machine. Neurocomputing Luca Oneto, Sandro Ridella, Davide Anguita
2019	J	`jnl`	Mining Big Data with Random Forests. Cogn. Comput. Alessandro Lulli, Luca Oneto, Davide Anguita
2019	B	`conf`	PAC-Bayes and Fairness: Risk and Fairness Bounds on Distribution Dependent Fair Priors. ESANN Luca Oneto, Michele Donini, Massimiliano Pontil
2019	—	`conf`	Predicting Future Market Trends: Which Is the Optimal Window? INNSBDDL Simone Merello, Andrea Picasso Ratto, Luca Oneto, Erik Cambria
2019	—	`conf`	Prescriptive Maintenance of Railway Infrastructure: From Data Analytics to Decision Support. MT-ITS Alice Consilvio, Paolo Sanetti, Davide Anguita, Carlo Crovetto, Carlo Dambra, Luca Oneto, Federico Papa, Nicola Sacco
2019	—	`conf`	Restoration Time Prediction in Large Scale Railway Networks: Big Data and Interpretability. INNSBDDL Luca Oneto, Irene Buselli, Paolo Sanetti, Renzo Canepa, Simone Petralli, Davide Anguita
2019	J	`jnl`	Simple continuous optimal regions of the space of data. Neurocomputing Alessio Carrega, Francesca Cipollini, Luca Oneto
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	C	`conf`	Taking Advantage of Multitask Learning for Fair Classification. AIES Luca Oneto, Michele Donini, Amon Elders, Massimiliano Pontil
2019	J	`jnl`	Technical analysis and sentiment embeddings for market trend prediction. Expert Syst. Appl. Andrea Picasso Ratto, Simone Merello, Yukun Ma, Luca Oneto, Erik Cambria
2019	—	`conf`	Train Overtaking Prediction in Railway Networks: A Big Data Perspective. INNSBDDL Luca Oneto, Irene Buselli, Alessandro Lulli, Renzo Canepa, Simone Petralli, Davide Anguita
2019	—	`conf`	Visual Analytics for Supporting Conflict Resolution in Large Railway Networks. INNSBDDL Udo Schlegel, Wolfgang Jentner, Juri Buchmüller, Eren Cakmak, Giuliano Castiglia, Renzo Canepa, Simone Petralli, Luca Oneto, Daniel A. Keim, Davide Anguita
2018	J	`jnl`	Advances in artificial neural networks, machine learning and computational intelligence. Neurocomputing Fabio Aiolli, Michael Biehl, Luca Oneto
2018	J	`jnl`	Condition-based maintenance of naval propulsion systems: Data analysis with minimal feedback. Reliab. Eng. Syst. Saf. Francesca Cipollini, Luca Oneto, Andrea Coraddu, Alan John Murphy, Davide Anguita
2018	J	`jnl`	Data-Driven Photovoltaic Power Production Nowcasting and Forecasting for Polygeneration Microgrids. IEEE Syst. J. Luca Oneto, Federica Laureri, Michela Robba, Federico Delfino, Davide Anguita
2018	B	`conf`	Emerging trends in machine learning: beyond conventional methods and data. ESANN Luca Oneto, Nicolò Navarin, Michele Donini, Davide Anguita
2018	A*	`conf`	Empirical Risk Minimization Under Fairness Constraints. NeurIPS Michele Donini, Luca Oneto, Shai Ben-David, John Shawe-Taylor, Massimiliano Pontil
2018	J	`jnl`	Empirical Risk Minimization under Fairness Constraints. CoRR Michele Donini, Luca Oneto, Shai Ben-David, John Shawe-Taylor, Massimiliano Pontil
2018	—	`conf`	Ensemble of Technical Analysis and Machine Learning for Market Trend Prediction. SSCI Andrea Picasso Ratto, Simone Merello, Luca Oneto, Yukun Ma, Lorenzo Malandri, Erik Cambria
2018	—	`conf`	Investigating Timing and Impact of News on the Stock Market. ICDM Workshops Simone Merello, Andrea Picasso Ratto, Yukun Ma, Luca Oneto, Erik Cambria
2018	B	`conf`	Large-Scale Railway Networks Train Movements: A Dynamic, Interpretable, and Robust Hybrid Data Analytics System. DSAA Alessandro Lulli, Luca Oneto, Renzo Canepa, Simone Petralli, Davide Anguita
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	B	`conf`	Local Rademacher Complexity Machine. ESANN Luca Oneto, Sandro Ridella, Davide Anguita
2018	J	`jnl`	Model selection and error estimation without the agonizing pain. WIREs Data Mining Knowl. Discov. Luca Oneto
2018	J	`jnl`	Multilayer Graph Node Kernels: Stacking While Maintaining Convexity. Neural Process. Lett. Luca Oneto, Nicolò Navarin, Alessandro Sperduti, Davide Anguita
2018	J	`jnl`	Randomized learning: Generalization performance of old and new theoretically grounded algorithms. Neurocomputing Luca Oneto, Francesca Cipollini, Sandro Ridella, Davide Anguita
2018	J	`jnl`	Taking Advantage of Multitask Learning for Fair Classification. CoRR Luca Oneto, Michele Donini, Amon Elders, Massimiliano Pontil
2018	J	`jnl`	Train Delay Prediction Systems: A Big Data Analytics Perspective. Big Data Res. Luca Oneto, Emanuele Fumeo, Giorgio Clerico, Renzo Canepa, Federico Papa, Carlo Dambra, Nadia Mazzino, Davide Anguita
2018	—	`conf`	Unintrusive Monitoring of Induction Motors Bearings via Deep Learning on Stator Currents. INNS Conference on Big Data Francesca Cipollini, Luca Oneto, Andrea Coraddu, Stefano Savio, Davide Anguita
2017	—	`conf`	Crack random forest for arbitrary large datasets. IEEE BigData Alessandro Lulli, Luca Oneto, Davide Anguita
2017	B	`conf`	Deep graph node kernels: A convex approach. IJCNN Luca Oneto, Nicolò Navarin, Alessandro Sperduti, Davide Anguita
2017	J	`jnl`	Differential privacy and generalization: Sharper bounds with applications. Pattern Recognit. Lett. Luca Oneto, Sandro Ridella, Davide Anguita
2017	B	`conf`	Dropout Prediction at University of Genoa: a Privacy Preserving Data Driven Approach. ESANN Luca Oneto, Anna Siri, Gianvittorio Luria, Davide Anguita
2017	J	`jnl`	Dynamic Delay Predictions for Large-Scale Railway Networks: Deep and Shallow Extreme Learning Machines Tuned via Thresholdout. IEEE Trans. Syst. Man Cybern. Syst. Luca Oneto, Emanuele Fumeo, Giorgio Clerico, Renzo Canepa, Federico Papa, Carlo Dambra, Nadia Mazzino, Davide Anguita
2017	B	`conf`	Generalization Performances of Randomized Classifiers and Algorithms built on Data Dependent Distributions. ESANN Luca Oneto, Sandro Ridella, Davide Anguita
2017	—	`conf`	Marine Safety and Data Analytics: Vessel Crash Stop Maneuvering Performance Prediction. ICANN (2) Luca Oneto, Andrea Coraddu, Paolo Sanetti, Olena Karpenko, Francesca Cipollini, Toine Cleophas, Davide Anguita
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`	ReForeSt: Random Forests in Apache Spark. ICANN (2) Alessandro Lulli, Luca Oneto, Davide Anguita
2017	J	`jnl`	SLT-Based ELM for Big Social Data Analysis. Cogn. Comput. Luca Oneto, Federica Bisio, Erik Cambria, Davide Anguita
2017	J	`jnl`	Semi-supervised Learning for Affective Common-Sense Reasoning. Cogn. Comput. Luca Oneto, Federica Bisio, Erik Cambria, Davide Anguita
2016	J	`jnl`	A local Vapnik-Chervonenkis complexity. Neural Networks Luca Oneto, Davide Anguita, Sandro Ridella
2016	B	`conf`	Advanced Analytics for Train Delay Prediction Systems by Including Exogenous Weather Data. DSAA Luca Oneto, Emanuele Fumeo, Giorgio Clerico, Renzo Canepa, Federico Papa, Carlo Dambra, Nadia Mazzino, Davide Anguita
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`	Can machine learning explain human learning? Neurocomputing Mehrnoosh Vahdat, Luca Oneto, Davide Anguita, Mathias Funk, Matthias Rauterberg
2016	—	`conf`	Delay Prediction System for Large-Scale Railway Networks Based on Big Data Analytics. INNS Conference on Big Data Luca Oneto, Emanuele Fumeo, Giorgio Clerico, Renzo Canepa, Federico Papa, Carlo Dambra, Nadia Mazzino, Davide Anguita
2016	J	`jnl`	Global Rademacher Complexity Bounds: From Slow to Fast Convergence Rates. Neural Process. Lett. Luca Oneto, Alessandro Ghio, Sandro Ridella, Davide Anguita
2016	—	`ch.`	Learning Hardware Friendly Classifiers Through Algorithmic Risk Minimization. Advances in Neural Networks Luca Oneto, Davide Anguita
2016	J	`jnl`	Learning Hardware-Friendly Classifiers Through Algorithmic Stability. ACM Trans. Embed. Comput. Syst. Luca Oneto, Sandro Ridella, Davide Anguita
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`	PAC-bayesian analysis of distribution dependent priors: Tighter risk bounds and stability analysis. Pattern Recognit. Lett. Luca Oneto, Davide Anguita, Sandro Ridella
2016	B	`conf`	Random Forests Model Selection. ESANN Ilenia Orlandi, Luca Oneto, Davide Anguita
2016	J	`jnl`	Statistical Learning Theory and ELM for Big Social Data Analysis. IEEE Comput. Intell. Mag. Luca Oneto, Federica Bisio, Erik Cambria, Davide Anguita
2016	J	`jnl`	Tikhonov, Ivanov and Morozov regularization for support vector machine learning. Mach. Learn. Luca Oneto, Sandro Ridella, Davide Anguita
2016	J	`jnl`	Transition-Aware Human Activity Recognition Using Smartphones. Neurocomputing Jorge Luis Reyes-Ortiz, Luca Oneto, Albert Samà, Xavier Parra, Davide Anguita
2016	B	`conf`	Tuning the Distribution Dependent Prior in the PAC-Bayes Framework based on Empirical Data. ESANN Luca Oneto, Sandro Ridella, Davide Anguita
2016	—	`conf`	Vessel monitoring and design in industry 4.0: A data driven perspective. RTSI Luca Oneto, Davide Anguita, Andrea Coraddu, Toine Cleophas, Katerina Xepapa
2015	B	`conf`	A Learning Analytics Approach to Correlate the Academic Achievements of Students with Interaction Data from an Educational Simulator. EC-TEL Mehrnoosh Vahdat, Luca Oneto, Davide Anguita, Mathias Funk, Matthias Rauterberg
2015	B	`conf`	Advances in learning analytics and educational data mining. ESANN Mehrnoosh Vahdat, Alessandro Ghio, Luca Oneto, Davide Anguita, Mathias Funk, Matthias Rauterberg
2015	—	`conf`	Big Data Analytics in the Cloud: Spark on Hadoop vs MPI/OpenMP on Beowulf. INNS Conference on Big Data Jorge Luis Reyes-Ortiz, Luca Oneto, Davide Anguita
2015	—	`conf`	Condition Based Maintenance in Railway Transportation Systems Based on Big Data Streaming Analysis. INNS Conference on Big Data Emanuele Fumeo, Luca Oneto, Davide Anguita
2015	B	`conf`	Fast convergence of extended Rademacher Complexity bounds. IJCNN Luca Oneto, Alessandro Ghio, Sandro Ridella, Davide Anguita
2015	J	`jnl`	Fully Empirical and Data-Dependent Stability-Based Bounds. IEEE Trans. Cybern. Luca Oneto, Alessandro Ghio, Sandro Ridella, Davide Anguita
2015	B	`conf`	Human Algorithmic Stability and Human Rademacher Complexity. ESANN Mehrnoosh Vahdat, Luca Oneto, Alessandro Ghio, Davide Anguita, Mathias Funk, Matthias Rauterberg
2015	J	`jnl`	Learning Resource-Aware Classifiers for Mobile Devices: From Regularization to Energy Efficiency. Neurocomputing Luca Oneto, Alessandro Ghio, Sandro Ridella, Davide Anguita
2015	J	`jnl`	Local Rademacher Complexity: Sharper risk bounds with and without unlabeled samples. Neural Networks Luca Oneto, Alessandro Ghio, Sandro Ridella, Davide Anguita
2015	B	`conf`	Model Selection for Big Data: Algorithmic Stability and Bag of Little Bootstraps on GPUs. ESANN Luca Oneto, Bernardo Pilarz, Alessandro Ghio, Davide Anguita
2015	—	`conf`	Performance assessment and uncertainty quantification of predictive models for smart manufacturing systems. IEEE BigData Luca Oneto, Ilenia Orlandi, Davide Anguita
2015	B	`conf`	Shrinkage learning to improve SVM with hints. IJCNN Luca Oneto, Alessandro Ghio, Sandro Ridella, Davide Anguita
2015	B	`conf`	Support vector machines and strictly positive definite kernel: The regularization hyperparameter is more important than the kernel hyperparameters. IJCNN Luca Oneto, Alessandro Ghio, Sandro Ridella, Davide Anguita
2014	J	`jnl`	A Deep Connection Between the Vapnik-Chervonenkis Entropy and the Rademacher Complexity. IEEE Trans. Neural Networks Learn. Syst. Davide Anguita, Alessandro Ghio, Luca Oneto, Sandro Ridella
2014	B	`conf`	A Learning Analytics Methodology to Profile Students Behavior and Explore Interactions with a Digital Electronics Simulator. EC-TEL Mehrnoosh Vahdat, Luca Oneto, Alessandro Ghio, Giuliano Donzellini, Davide Anguita, Mathias Funk, Matthias Rauterberg
2014	B	`conf`	Byte The Bullet: Learning on Real-World Computing Architectures. ESANN Alessandro Ghio, Luca Oneto
2014	C	`conf`	Human Activity Recognition on Smartphones with Awareness of Basic Activities and Postural Transitions. ICANN Jorge Luis Reyes-Ortiz, Luca Oneto, Alessandro Ghio, Albert Samà, Davide Anguita, Xavier Parra
2014	B	`conf`	Learning with few bits on small-scale devices: From regularization to energy efficiency. ESANN Davide Anguita, Alessandro Ghio, Luca Oneto, Sandro Ridella
2014	—	`conf`	Out-of-Sample Error Estimation: The Blessing of High Dimensionality. ICDM Workshops Luca Oneto, Alessandro Ghio, Sandro Ridella, Jorge Luis Reyes-Ortiz, Davide Anguita
2014	B	`conf`	Smartphone battery saving by bit-based hypothesis spaces and local Rademacher Complexities. IJCNN Davide Anguita, Alessandro Ghio, Luca Oneto, Sandro Ridella
2014	J	`jnl`	Unlabeled patterns to tighten Rademacher complexity error bounds for kernel classifiers. Pattern Recognit. Lett. Davide Anguita, Alessandro Ghio, Luca Oneto, Sandro Ridella
2013	B	`conf`	A Learning Machine with a Bit-Based Hypothesis Space. ESANN Davide Anguita, Alessandro Ghio, Luca Oneto, Sandro Ridella
2013	C	`conf`	A Novel Procedure for Training L1-L2 Support Vector Machine Classifiers. ICANN Davide Anguita, Alessandro Ghio, Luca Oneto, Jorge Luis Reyes-Ortiz, Sandro Ridella
2013	B	`conf`	A Public Domain Dataset for Human Activity Recognition using Smartphones. ESANN Davide Anguita, Alessandro Ghio, Luca Oneto, Xavier Parra, Jorge Luis Reyes-Ortiz
2013	B	`conf`	A support vector machine classifier from a bit-constrained, sparse and localized hypothesis space. IJCNN Davide Anguita, Alessandro Ghio, Luca Oneto, Sandro Ridella
2013	J	`jnl`	An improved analysis of the Rademacher data-dependent bound using its self bounding property. Neural Networks Luca Oneto, Alessandro Ghio, Davide Anguita, Sandro Ridella
2013	J	`jnl`	Energy Efficient Smartphone-Based Activity Recognition using Fixed-Point Arithmetic. J. Univers. Comput. Sci. Davide Anguita, Alessandro Ghio, Luca Oneto, Xavier Parra, Jorge Luis Reyes-Ortiz
2013	B	`conf`	Some results about the Vapnik-Chervonenkis entropy and the rademacher complexity. IJCNN Davide Anguita, Alessandro Ghio, Luca Oneto, Sandro Ridella
2013	C	`conf`	Training Computationally Efficient Smartphone-Based Human Activity Recognition Models. ICANN Davide Anguita, Alessandro Ghio, Luca Oneto, Xavier Parra, Jorge Luis Reyes-Ortiz
2012	—	`conf`	Human Activity Recognition on Smartphones Using a Multiclass Hardware-Friendly Support Vector Machine. IWAAL Davide Anguita, Alessandro Ghio, Luca Oneto, Xavier Parra, Jorge Luis Reyes-Ortiz
2012	J	`jnl`	In-Sample and Out-of-Sample Model Selection and Error Estimation for Support Vector Machines. IEEE Trans. Neural Networks Learn. Syst. Davide Anguita, Alessandro Ghio, Luca Oneto, Sandro Ridella
2012	J	`jnl`	In-sample Model Selection for Trimmed Hinge Loss Support Vector Machine. Neural Process. Lett. Davide Anguita, Alessandro Ghio, Luca Oneto, Sandro Ridella
2012	—	`conf`	Nested Sequential Minimal Optimization for Support Vector Machines. ICANN (2) Alessandro Ghio, Davide Anguita, Luca Oneto, Sandro Ridella, Carlotta Schatten
2012	—	`conf`	Rademacher Complexity and Structural Risk Minimization: An Application to Human Gene Expression Datasets. ICANN (2) Luca Oneto, Davide Anguita, Alessandro Ghio, Sandro Ridella
2012	B	`conf`	Structural Risk Minimization and Rademacher Complexity for Regression. ESANN Davide Anguita, Alessandro Ghio, Luca Oneto, Sandro Ridella
2012	B	`conf`	The 'K' in K-fold Cross Validation. ESANN Davide Anguita, Luca Ghelardoni, Alessandro Ghio, Luca Oneto, Sandro Ridella
2011	B	`conf`	In-sample model selection for Support Vector Machines. IJCNN Davide Anguita, Alessandro Ghio, Luca Oneto, Sandro Ridella
2011	B	`conf`	Maximal Discrepancy vs. Rademacher Complexity for error estimation. ESANN Davide Anguita, Alessandro Ghio, Luca Oneto, Sandro Ridella
2011	B	`conf`	Selecting the hypothesis space for improving the generalization ability of Support Vector Machines. IJCNN Davide Anguita, Alessandro Ghio, Luca Oneto, Sandro Ridella
2011	—	`conf`	The Impact of Unlabeled Patterns in Rademacher Complexity Theory for Kernel Classifiers. NIPS Luca Oneto, Davide Anguita, Alessandro Ghio, Sandro Ridella
2010	B	`conf`	Model selection for support vector machines: Advantages and disadvantages of the Machine Learning Theory. IJCNN Davide Anguita, Alessandro Ghio, Noemi Greco, Luca Oneto, Sandro Ridella