Luca Oneto

ORCID

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 139

Top Venues

Publications

Davide Ilardi, Miltiadis Kalikatzarakis, Luca Oneto, Maurizio Collu, Andrea Coraddu
Computationally Aware Surrogate Models for the Hydrodynamic Response Characterization of Floating Spar-Type Offshore Wind Turbine. IEEE Access 12 (2024)
Zhang Chen, Luca Demetrio, Srishti Gupta, Xiaoyi Feng, Zhaoqiang Xia, Antonio Emanuele Cinà, Maura Pintor, Luca Oneto, Ambra Demontis, Battista Biggio, Fabio Roli
Over-parameterization and Adversarial Robustness in Neural Networks: An Overview and Empirical Analysis. CoRR (2024)
Danilo Franco, Vincenzo Stefano D'Amato, Luca Pasa, Nicolò Navarin, Luca Oneto
Fair graph representation learning: Empowering NIFTY via Biased Edge Dropout and Fair Attribute Preprocessing. Neurocomputing 563 (2024)
Giovanni Donghi, Luca Pasa, Luca Oneto, Claudio Gallicchio, Alessio Micheli, Davide Anguita, Alessandro Sperduti, Nicolò Navarin
Investigating over-parameterized randomized graph networks. Neurocomputing 606 (2024)
Jake M. Walker, Andrea Coraddu, Luca Oneto
Data-Driven Models for Yacht Hull Resistance Optimization: Exploring Geometric Parameters Beyond the Boundaries of the Delft Systematic Yacht Hull Series. IEEE Access 12 (2024)
Daniele Angioni, Luca Demetrio, Maura Pintor, Luca Oneto, Davide Anguita, Battista Biggio, Fabio Roli
Robustness-Congruent Adversarial Training for Secure Machine Learning Model Updates. CoRR (2024)
Luca Oneto, Sandro Ridella, Davide Anguita
Towards algorithms and models that we can trust: A theoretical perspective. Neurocomputing 592 (2024)
Nicolò Navarin, Dounia Mulders, Luca Oneto
Advances in artificial neural networks, machine learning and computational intelligence. Neurocomputing 571 (2024)
Daniele Giampaoli, Francesca Cipollini, Denise Maffione, Luca Oneto
Short-term Forecast and Long-term Simulation for Accurate Energy Consumption Prediction. DSAA (2023)
Andrea Ceni, Davide Bacciu, Valerio De Caro, Claudio Gallicchio, Luca Oneto
Improving Fairness via Intrinsic Plasticity in Echo State Networks. ESANN (2023)
Miltiadis Kalikatzarakis, Andrea Coraddu, Mehmet Atlar, Stefano Gaggero, Giorgio Tani, Luca Oneto
Physically plausible propeller noise prediction via recursive corrections leveraging prior knowledge and experimental data. Eng. Appl. Artif. Intell. 118 (2023)
Temitayo A. Olugbade, Marta Bienkiewicz, Giulia Barbareschi, Vincenzo 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
Human Movement Datasets: An Interdisciplinary Scoping Review. ACM Comput. Surv. 55 (6) (2023)
Luca Oneto, Sandro Ridella, Davide Anguita
Do we really need a new theory to understand over-parameterization? Neurocomputing 543 (2023)
Alvise De Biasio, Merylin Monaro, Luca Oneto, Lamberto Ballan, Nicolò Navarin
On the problem of recommendation for sensitive users and influential items: Simultaneously maintaining interest and diversity. Knowl. Based Syst. 275 (2023)
Luca Oneto, Sandro Ridella, Davide Anguita
Towards Randomized Algorithms and Models that We Can Trust: a Theoretical Perspective. ESANN (2023)
Giovanni Graziano, Daniele Ucci, Federica Bisio, Luca Oneto
PhishVision: A Deep Learning Based Visual Brand Impersonation Detector for Identifying Phishing Attacks. OL2A (1) (2023)
Guido Parodi, Luca Oneto, Giulio Ferro, Stefano Zampini, Michela Robba, Davide Anguita, Andrea Coraddu
Physics Informed Data Driven Techniques for Power Flow Analysis. SSCI (2023)
Danilo Franco, Luca Oneto, Davide Anguita
Mitigating Robustness Bias: Theoretical Results and Empirical Evidences. ESANN (2023)
Nicolò Navarin, Luca Pasa, Luca Oneto, Alessandro Sperduti
An Empirical Study of Over-Parameterized Neural Models based on Graph Random Features. ESANN (2023)
Danilo Franco, Luca Oneto, Davide Anguita
Fair Empirical Risk Minimization Revised. IWANN (1) (2023)
Vincenzo D'Amato, Luca Oneto, Antonio Camurri, Davide Anguita
The Importance of Multiple Temporal Scales in Motion Recognition: when Shallow Model can Support Deep Multi Scale Models. IJCNN (2022)
Danilo Franco, Nicolò Navarin, Michele Donini, Davide Anguita, Luca Oneto
Deep fair models for complex data: Graphs labeling and explainable face recognition. Neurocomputing 470 (2022)
Luca Oneto, Nicolò Navarin, Frank-Michael Schleif
Advances in artificial neural networks, machine learning and computational intelligence. Neurocomputing 507 (2022)
Luca Oneto, Kerstin Bunte, Nicolò Navarin
Advances in artificial neural networks, machine learning and computational intelligence. Neurocomputing 470 (2022)
Miltiadis Kalikatzarakis, Andrea Coraddu, Luca Oneto, Davide Anguita
Optimizing Fuel Consumption in Thrust Allocation for Marine Dynamic Positioning Systems. IEEE Trans Autom. Sci. Eng. 19 (1) (2022)
Vincenzo D'Amato, Luca Oneto, Antonio Camurri, Davide Anguita, Zinat Zarandi, Luciano Fadiga, Alessandro D'Ausilio, Thierry Pozzo
The Importance of Multiple Temporal Scales in Motion Recognition: from Shallow to Deep Multi Scale Models. IJCNN (2022)
Luca Oneto, Sandro Ridella, Davide Anguita
Do We Really Need a New Theory to Understand the Double-Descent? ESANN (2022)
Linda Ponta, Gloria Puliga, Luca Oneto, Raffaella Manzini
Identifying the Determinants of Innovation Capability With Machine Learning and Patents. IEEE Trans. Engineering Management 69 (5) (2022)
Carmine Dodaro, Davide Ilardi, Luca Oneto, Francesco Ricca
Deep Learning for the Generation of Heuristics in Answer Set Programming: A Case Study of Graph Coloring. LPNMR (2022)
Luca Oneto, Simone Minisi, Andrea Garrone, Renzo Canepa, Carlo Dambra, Davide Anguita
Simple Non Regressive Informed Machine Learning Model for Predictive Maintenance of Railway Critical Assets. ESANN (2022)
Federico Caldart, Luca Pasa, Luca Oneto, Alessandro Sperduti, Nicolò Navarin
Biased Edge Dropout in NIFTY for Fair Graph Representation Learning. ESANN (2022)
Marco Demutti, Vincenzo D'Amato, Carmine Tommaso Recchiuto, Luca Oneto, Antonio Sgorbissa
A Cloud Architecture for Emotion Recognition Based on the Appraisal Theory (short paper). AIRO@AI*IA (2022)
Davide Chicco, Luca Oneto, Erica Tavazzi
Eleven quick tips for data cleaning and feature engineering. PLoS Comput. Biol. 18 (12) (2022)
Irene Buselli, Luca Oneto, Carlo Dambra, Christian Verdonk Gallego, Miguel Garcia Martinez
Data-Driven Methods for Aviation Safety: From Data to Knowledge. SYSINT (2022)
Luca Oneto, Sandro Ridella, Davide Anguita
The benefits of adversarial defense in generalization. Neurocomputing 505 (2022)
Luca Oneto, Nicolò Navarin, Battista Biggio, Federico Errica, Alessio Micheli, Franco Scarselli, Monica Bianchini, Luca Demetrio, Pietro Bongini, Armando Tacchella, Alessandro Sperduti
Towards learning trustworthily, automatically, and with guarantees on graphs: An overview. Neurocomputing 493 (2022)
Ariel Gjaci, Luca Oneto, Carmine Tommaso Recchiuto, Antonio Sgorbissa
Culture Awareness in Intelligent Systems (short paper). AIRO@AI*IA (2022)
Andrea Garrone, Simone Minisi, Luca Oneto, Carlo Dambra, Marco Borinato, Paolo Sanetti, Giulia Vignola, Federico Papa, Nadia Mazzino, Davide Anguita
Simple Non Regressive Informed Machine Learning Model for Prescriptive Maintenance of Track Circuits in a Subway Environment. SYSINT (2022)
Marco Demutti, Vincenzo D'Amato, Carmine Recchiuto, Luca Oneto, Antonio Sgorbissa
Assessing Emotions in Human-Robot Interaction Based on the Appraisal Theory. RO-MAN (2022)
Davide Chicco, Luca Oneto
An Enhanced Random Forests Approach to Predict Heart Failure From Small Imbalanced Gene Expression Data. IEEE ACM Trans. Comput. Biol. Bioinform. 18 (6) (2021)
Luca Oneto, Nicolò Navarin, Battista Biggio, Federico Errica, Alessio Micheli, Franco Scarselli, Monica Bianchini, Alessandro Sperduti
Complex Data: Learning Trustworthily, Automatically, and with Guarantees. ESANN (2021)
Luca Oneto, Sandro Ridella
Distribution-Dependent Weighted Union Bound. Entropy 23 (1) (2021)
Matteo Cardellini, Marco Maratea, Mauro Vallati, Gianluca Boleto, Luca Oneto
An Efficient Hybrid Planning Framework for In-Station Train Dispatching. ICCS (1) (2021)
Vincenzo D'Amato, Luca Oneto, Antonio Camurri, Davide Anguita
Keep it Simple: Handcrafting Feature and Tuning Random Forests and XGBoost to face the Affective Movement Recognition Challenge 2021. ACII (Workshops and Demos) (2021)
Danilo Franco, Luca Oneto, Nicolò Navarin, Davide Anguita
Learn and Visually Explain Deep Fair Models: an Application to Face Recognition. IJCNN (2021)
Danilo Franco, Luca Oneto, Nicolò Navarin, Davide Anguita
Toward Learning Trustworthily from Data Combining Privacy, Fairness, and Explainability: An Application to Face Recognition. Entropy 23 (8) (2021)
Vincenzo D'Amato, Erica Volta, Luca Oneto, Gualtiero Volpe, Antonio Camurri, Davide Anguita
Accuracy and Intrusiveness in Data-Driven Violin Players Skill Levels Prediction: MOCAP Against MYO Against KINECT. IWANN (2) (2021)
Matteo Cardellini, Marco Maratea, Mauro Vallati, Gianluca Boleto, Luca Oneto
In-Station Train Dispatching: A PDDL+ Planning Approach. ICAPS (2021)
Andrea Coraddu, Luca Oneto, Davide Ilardi, Sokratis Stoumpos, Gerasimos Theotokatos
Marine dual fuel engines monitoring in the wild through weakly supervised data analytics. Eng. Appl. Artif. Intell. 100 (2021)
Davide Chicco, Christopher A. Lovejoy, Luca Oneto
A Machine Learning Analysis of Health Records of Patients With Chronic Kidney Disease at Risk of Cardiovascular Disease. IEEE Access 9 (2021)
Davide Chicco, Luca Oneto
Data analytics and clinical feature ranking of medical records of patients with sepsis. BioData Min. 14 (1) (2021)
Matteo Cardellini, Marco Maratea, Mauro Vallati, Gianluca Boleto, Luca Oneto
A Planning-based Approach for In-Station Train Dispatching. SOCS (2021)
Davide Chicco, Luca Oneto
Computational intelligence identifies alkaline phosphatase (ALP), alpha-fetoprotein (AFP), and hemoglobin levels as most predictive survival factors for hepatocellular carcinoma. Health Informatics J. 27 (1) (2021)
Gianluca Boleto, Luca Oneto, Matteo Cardellini, Marco Maratea, Mauro Vallati, Renzo Canepa, Davide Anguita
In-Station Train Movements Prediction: from Shallow to Deep Multi Scale Models. ESANN (2021)
Luca Oneto, Sandro Ridella, Davide Anguita
The Benefits of Adversarial Defence in Generalisation. ESANN (2021)
Luca Oneto, Michele Donini, Giulia Luise, Carlo Ciliberto, Andreas Maurer, Massimiliano Pontil
Exploiting MMD and Sinkhorn Divergences for Fair and Transferable Representation Learning. NeurIPS (2020)
Luca Oneto, Michele Donini, Massimiliano Pontil
General Fair Empirical Risk Minimization. IJCNN (2020)
Luca Oneto, Michele Donini, Massimiliano Pontil, Andreas Maurer
Learning Fair and Transferable Representations with Theoretical Guarantees. DSAA (2020)
Evgenii Chzhen, Christophe Denis, Mohamed Hebiri, Luca Oneto, Massimiliano Pontil
Fair regression via plug-in estimator and recalibration with statistical guarantees. NeurIPS (2020)
Luca Oneto, Irene Buselli, Alessandro Lulli, Renzo Canepa, Simone Petralli, Davide Anguita
A dynamic, interpretable, and robust hybrid data analytics system for train movements in large-scale railway networks. Int. J. Data Sci. Anal. 9 (1) (2020)
Evgenii Chzhen, Christophe Denis, Mohamed Hebiri, Luca Oneto, Massimiliano Pontil
Fair Regression with Wasserstein Barycenters. CoRR (2020)
Luca Oneto, Michele Donini, Massimiliano Pontil, John Shawe-Taylor
Randomized learning and generalization of fair and private classifiers: From PAC-Bayes to stability and differential privacy. Neurocomputing 416 (2020)
Luca Oneto, Nicolò Navarin, Michele Donini
Learning Deep Fair Graph Neural Networks. ESANN (2020)
Vincenzo D'Amato, Erica Volta, Luca Oneto, Gualtiero Volpe, Antonio Camurri, Davide Anguita
Understanding Violin Players' Skill Level Based on Motion Capture: a Data-Driven Perspective. Cogn. Comput. 12 (6) (2020)
Simone Aonzo, Alessio Merlo, Mauro Migliardi, Luca Oneto, Francesco Palmieri
Low-Resource Footprint, Data-Driven Malware Detection on Android. IEEE Trans. Sustain. Comput. 5 (2) (2020)
Luca Oneto, Sandro Ridella, Davide Anguita
Improving the Union Bound: a Distribution Dependent Approach. ESANN (2020)
Luca Oneto, Silvia Chiappa
Fairness in Machine Learning. CoRR (2020)
Luca Oneto, Kerstin Bunte, Alessandro Sperduti
Advances in artificial neural networks, machine learning and computational intelligence. Neurocomputing 416 (2020)
Luca Oneto, Francesca Cipollini, Leonardo Miglianti, Giorgio Tani, Stefano Gaggero, Michele Viviani, Andrea Coraddu
Deep Learning for Cavitating Marine Propeller Noise Prediction at Design Stage. IJCNN (2020)
Nicolò Navarin, Matteo Cambiaso, Andrea Burattin, Fabrizio Maria Maggi, Luca Oneto, Alessandro Sperduti
Towards Online Discovery of Data-Aware Declarative Process Models from Event Streams. IJCNN (2020)
Luca Oneto
Learning fair models and representations. Intelligenza Artificiale 14 (1) (2020)
Evgenii Chzhen, Christophe Denis, Mohamed Hebiri, Luca Oneto, Massimiliano Pontil
Fair regression with Wasserstein barycenters. NeurIPS (2020)
Simone Merello, Andrea Picasso Ratto, Luca Oneto, Erik Cambria
Ensemble Application of Transfer Learning and Sample Weighting for Stock Market Prediction. IJCNN (2019)
Luca Oneto, Michele Donini, Amon Elders, Massimiliano Pontil
Taking Advantage of Multitask Learning for Fair Classification. AIES (2019)
Evgenii Chzhen, Christophe Denis, Mohamed Hebiri, Luca Oneto, Massimiliano Pontil
Leveraging Labeled and Unlabeled Data for Consistent Fair Binary Classification. NeurIPS (2019)
Alice Consilvio, Paolo Sanetti, Davide Anguita, Carlo Crovetto, Carlo Dambra, Luca Oneto, Federico Papa, Nicola Sacco
Prescriptive Maintenance of Railway Infrastructure: From Data Analytics to Decision Support. MT-ITS (2019)
Simone Merello, Andrea Picasso Ratto, Luca Oneto, Erik Cambria
Predicting Future Market Trends: Which Is the Optimal Window? INNSBDDL (2019)
Luca Oneto, Michele Donini, Massimiliano Pontil
General Fair Empirical Risk Minimization. CoRR (2019)
Alessandro Lulli, Luca Oneto, Davide Anguita
Mining Big Data with Random Forests. Cogn. Comput. 11 (2) (2019)
Luca Oneto, Michele Donini, Massimiliano Pontil
PAC-Bayes and Fairness: Risk and Fairness Bounds on Distribution Dependent Fair Priors. ESANN (2019)
Linda Ponta, Gloria Puliga, Luca Oneto, Raffaella Manzini
Innovation Capability of Firms: A Big Data Approach with Patents. INNSBDDL (2019)
Andrea Picasso Ratto, Simone Merello, Yukun Ma, Luca Oneto, Erik Cambria
Technical analysis and sentiment embeddings for market trend prediction. Expert Syst. Appl. 135 (2019)
Davide Bacciu, Battista Biggio, Paulo Lisboa, José D. Martín, Luca Oneto, Alfredo Vellido
Societal Issues in Machine Learning: When Learning from Data is Not Enough. ESANN (2019)
Udo Schlegel, Wolfgang Jentner, Juri Buchmüller, Eren Cakmak, Giuliano Castiglia, Renzo Canepa, Simone Petralli, Luca Oneto, Daniel A. Keim, Davide Anguita
Visual Analytics for Supporting Conflict Resolution in Large Railway Networks. INNSBDDL (2019)
Luca Oneto, Irene Buselli, Alessandro Lulli, Renzo Canepa, Simone Petralli, Davide Anguita
Train Overtaking Prediction in Railway Networks: A Big Data Perspective. INNSBDDL (2019)
Roberto Spigolon, Luca Oneto, Dimitar Anastasovski, Nadia Fabrizio, Marie Swiatek, Renzo Canepa, Davide Anguita
Improving Railway Maintenance Actions with Big Data and Distributed Ledger Technologies. INNSBDDL (2019)
Luca Oneto, Michele Donini, Andreas Maurer, Massimiliano Pontil
Learning Fair and Transferable Representations. CoRR (2019)
Charlotte Ducuing, Luca Oneto, Renzo Canepa
Fairness and Accountability of Machine Learning Models in Railway Market: are Applicable Railway Laws Up to Regulate Them? ESANN (2019)
Luca Oneto, Silvia Chiappa
Fairness in Machine Learning. INNSBDDL (Tutorials) (2019)
Francesca Cipollini, Fabiana Miglianti, Luca Oneto, Giorgio Tani, Michele Viviani, Davide Anguita
Cavitation Noise Spectra Prediction with Hybrid Models. INNSBDDL (2019)
Luca Oneto, Sandro Ridella, Davide Anguita
Local Rademacher Complexity Machine. Neurocomputing 342 (2019)
Alessio Carrega, Francesca Cipollini, Luca Oneto
Simple continuous optimal regions of the space of data. Neurocomputing 349 (2019)
Luca Oneto, Kerstin Bunte, Frank-Michael Schleif
European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2018). Neurocomputing 342 (2019)
Luca Oneto, Irene Buselli, Paolo Sanetti, Renzo Canepa, Simone Petralli, Davide Anguita
Restoration Time Prediction in Large Scale Railway Networks: Big Data and Interpretability. INNSBDDL (2019)
Francesca Cipollini, Fabiana Miglianti, Luca Oneto, Giorgio Tani, Michele Viviani
Hybrid Model for Cavitation Noise Spectra Prediction. IJCNN (2019)
Luca Oneto, Nicolò Navarin, Alessandro Sperduti, Davide Anguita
Introduction. INNSBDDL (Tutorials) (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)
Michele Donini, Luca Oneto, Shai Ben-David, John Shawe-Taylor, Massimiliano Pontil
Empirical Risk Minimization Under Fairness Constraints. NeurIPS (2018)
Luca Oneto, Federica Laureri, Michela Robba, Federico Delfino, Davide Anguita
Data-Driven Photovoltaic Power Production Nowcasting and Forecasting for Polygeneration Microgrids. IEEE Syst. J. 12 (3) (2018)
Luca Oneto, Michele Donini, Amon Elders, Massimiliano Pontil
Taking Advantage of Multitask Learning for Fair Classification. CoRR (2018)

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Publication Activity (10 Years)

Top Topics

Top Venues

Luca Oneto