Davide Anguita

194 papers B 60C 8Misc 1Journal 77Unranked 44

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`	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
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	—	`conf`	Dynamical Systems Behavior Prediction: Machine Learning and Koopman Operator. SoSE Enrico Zero, Luca Oneto, Roberto Sacile, Davide Anguita
2025	J	`jnl`	Informed Machine Learning: Excess risk and generalization. Neurocomputing Luca Oneto, Sandro Ridella, Davide Anguita
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`	Training-Free Constrained Generation With Stable Diffusion Models. CoRR Stefano Zampini, Jacob Christopher, Luca Oneto, Davide Anguita, Ferdinando Fioretto
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`	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	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	—	`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`	New Advances in Artificial Neural Networks and Machine Learning Techniques. Neural Process. Lett. Olga Valenzuela, Andreu Català, Davide Anguita, Ignacio Rojas
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`	Towards Randomized Algorithms and Models that We Can Trust: a Theoretical Perspective. ESANN Luca Oneto, Sandro Ridella, Davide Anguita
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`	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
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	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	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`	Bridging Cognitive Models and Recommender Systems. Cogn. Comput. Cecilio Angulo, Zoe Falomir, Davide Anguita, Núria Agell, Erik Cambria
2020	B	`conf`	Improving the Union Bound: a Distribution Dependent Approach. ESANN Luca Oneto, Sandro Ridella, Davide Anguita
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	J	`jnl`	Spectral Analysis of Electricity Demand Using Hilbert-Huang Transform. Sensors Joaquín Luque, Davide Anguita, Francisco Pérez, Robert Denda
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	—	`conf`	Cavitation Noise Spectra Prediction with Hybrid Models. INNSBDDL Francesca Cipollini, Fabiana Miglianti, Luca Oneto, Giorgio Tani, Michele Viviani, Davide Anguita
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`	Introduction. INNSBDDL (Tutorials) Luca Oneto, Nicolò Navarin, Alessandro Sperduti, Davide Anguita
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	—	`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	—	`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`	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	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`	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`	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
2017	J	`jnl`	Support Vector Motion Clustering. IEEE Trans. Circuits Syst. Video Technol. Isah Abdullahi Lawal, Fabio Poiesi, Davide Anguita, Andrea Cavallaro
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	B	`conf`	Learning Analytics for a Puzzle Game to Discover the Puzzle-Solving Tactics of Players. EC-TEL Mehrnoosh Vahdat, Maira B. Carvalho, Mathias Funk, Matthias Rauterberg, Jun Hu, 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	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	J	`jnl`	A Survey of old and New Results for the Test Error Estimation of a Classifier. J. Artif. Intell. Soft Comput. Res. Davide Anguita, Luca Ghelardoni, Alessandro Ghio, Sandro Ridella
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	J	`jnl`	Energy Load Forecasting Using Empirical Mode Decomposition and Support Vector Regression. IEEE Trans. Smart Grid Luca Ghelardoni, Alessandro Ghio, Davide Anguita
2013	B	`conf`	Human Activity and Motion Disorder Recognition: towards smarter Interactive Cognitive Environments. ESANN Jorge Luis Reyes-Ortiz, Alessandro Ghio, Xavier Parra, Davide Anguita, Joan Cabestany, Andreu Català
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	J	`jnl`	A FPGA Core Generator for Embedded Classification Systems. J. Circuits Syst. Comput. Davide Anguita, Luca Carlino, Alessandro Ghio, Sandro Ridella
2011	B	`conf`	In-sample model selection for Support Vector Machines. IJCNN Davide Anguita, Alessandro Ghio, Luca Oneto, Sandro Ridella
2011	J	`jnl`	Maximal Discrepancy for Support Vector Machines. Neurocomputing Davide Anguita, Alessandro Ghio, 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`	Test error bounds for classifiers: A survey of old and new results. FOCI Davide Anguita, Luca Ghelardoni, Alessandro Ghio, 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`	Maximal Discrepancy for Support Vector Machines. ESANN 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
2010	J	`jnl`	Using unsupervised analysis to constrain generalization bounds for support vector classifiers. IEEE Trans. Neural Networks Sergio Decherchi, Sandro Ridella, Rodolfo Zunino, Paolo Gastaldo, Davide Anguita
2009	—	`conf`	K-Fold Cross Validation for Error Rate Estimate in Support Vector Machines. DMIN Davide Anguita, Alessandro Ghio, Sandro Ridella, Dario Sterpi
2009	J	`jnl`	Nature-inspired learning and adaptive systems. Nat. Comput. Bogdan Gabrys, Davide Anguita
2008	J	`jnl`	A support vector machine with integer parameters. Neurocomputing Davide Anguita, Alessandro Ghio, Stefano Pischiutta, Sandro Ridella
2008	—	`conf`	Smart Plankton: a Nature Inspired Underwater Wireless Sensor Network. ICNC (7) Davide Anguita, Davide Brizzolara, Alessandro Ghio, Giancarlo Parodi
2008	C	`conf`	Smart plankton - a new generation of underwater wireless sensor network. ALIFE Davide Anguita, Davide Brizzolara, Alessandro Ghio, Giancarlo Parodi
2008	J	`jnl`	Support vector machines for interval discriminant analysis. Neurocomputing Cecilio Angulo, Davide Anguita, Luis González Abril, Juan Antonio Ortega
2008	B	`conf`	Using Variable Neighborhood Search to improve the Support Vector Machine performance in embedded automotive applications. IJCNN Enrique Alba, Davide Anguita, Alessandro Ghio, Sandro Ridella
2007	B	`conf`	A Hardware-friendly Support Vector Machine for Embedded Automotive Applications. IJCNN Davide Anguita, Alessandro Ghio, Stefano Pischiutta, Sandro Ridella
2007	—	`conf`	A learning machine for resource-limited adaptive hardware. AHS Davide Anguita, Alessandro Ghio, Stefano Pischiutta
2007	B	`conf`	Interval discriminant analysis using support vector machines. ESANN Cecilio Angulo, Davide Anguita, Luis González Abril
2006	J	`jnl`	Feed-Forward Support Vector Machine Without Multipliers. IEEE Trans. Neural Networks Davide Anguita, Stefano Pischiutta, Sandro Ridella, Dario Sterpi
2006	—	`conf`	Nature Inspiration for Support Vector Machines. KES (2) Davide Anguita, Dario Sterpi
2006	B	`conf`	Testing the Augmented Binary Multiclass SVM on Microarray Data. IJCNN Davide Anguita, Sandro Ridella, Dario Sterpi
2005	—	`conf`	Data Mining Tools: From Web to Grid Architectures. EGC Davide Anguita, Arianna Poggi, Fabio Rivieccio, Anna Marina Scapolla
2005	B	`conf`	K-fold generalization capability assessment for support vector classifiers. IJCNN Davide Anguita, Sandro Ridella, Fabio Rivieccio
2005	B	`conf`	The effect of quantization on support vector machines with Gaussian kernel. IJCNN Davide Anguita, Giovanni Bozza
2004	B	`conf`	A new method for multiclass support vector machines. IJCNN Davide Anguita, Sandro Ridella, Dario Sterpi
2004	—	`conf`	An Algorithm for Reducing the Number of Support Vectors. WIRN Davide Anguita, Sandro Ridella, Fabio Rivieccio
2004	B	`conf`	Mapping LSSVM on digital hardware. IJCNN Davide Anguita, Andrea Boni, Alessandro Zorat
2004	B	`conf`	Model selection in top quark tagging with a support vector classifier. IJCNN Davide Anguita, Sandro Ridella, Silvia Amerio, Ignazio Lazzizzera
2004	J	`jnl`	Special issue on hardware implementations of soft computing techniques. Appl. Soft Comput. Davide Anguita, Iluminada Baturone, Julian Francis Miller
2004	B	`conf`	Unsupervised clustering and the capacity of support vector machines. IJCNN Davide Anguita, Sandro Ridella, Fabio Rivieccio, Rodolfo Zunino
2003	J	`jnl`	A digital architecture for support vector machines: theory, algorithm, and FPGA implementation. IEEE Trans. Neural Networks Davide Anguita, Andrea Boni, Sandro Ridella
2003	J	`jnl`	Digital Least Squares Support Vector Machines. Neural Process. Lett. Davide Anguita, Andrea Boni
2003	J	`jnl`	Hyperparameter design criteria for support vector classifiers. Neurocomputing Davide Anguita, Sandro Ridella, Fabio Rivieccio, Rodolfo Zunino
2003	J	`jnl`	Neural network learning for analog VLSI implementations of support vector machines: a survey. Neurocomputing Davide Anguita, Andrea Boni
2003	J	`jnl`	Quantum optimization for training support vector machines. Neural Networks Davide Anguita, Sandro Ridella, Fabio Rivieccio, Rodolfo Zunino
2003	B	`conf`	SVM learning with fixed-point math. IJCNN Davide Anguita, Andrea Boni, Sandro Ridella
2003	B	`conf`	Training support vector machines: a quantum-computing perspective. IJCNN Davide Anguita, Sandro Ridella, Fabio Rivieccio, Rodolfo Zunino
2002	C	`conf`	Automatic Hyperparameter Tuning for Support Vector Machines. ICANN Davide Anguita, Sandro Ridella, Fabio Rivieccio, Rodolfo Zunino
2002	J	`jnl`	Improved neural network for SVM learning. IEEE Trans. Neural Networks Davide Anguita, Andrea Boni
2002	C	`conf`	MDL Based Model Selection for Relevance Vector Regression. ICANN Davide Anguita, Matteo Gagliolo
2002	J	`jnl`	SVM performance assessment for the control of injection moulding processes and plasticating extrusion. Int. J. Syst. Sci. Davide Anguita, Andrea Boni, L. Tagliafico
2001	B	`conf`	Perspectives on dedicated hardware implementations. ESANN Davide Anguita, Maurizio Valle
2000	J	`jnl`	A case study of a distributed high-performance computing system for neurocomputing. J. Syst. Archit. Davide Anguita, Andrea Boni, Giancarlo Parodi
2000	J	`jnl`	Digital VLSI Algorithms and Architectures for Support Vector Machines. Int. J. Neural Syst. Davide Anguita, Andrea Boni, Sandro Ridella
2000	J	`jnl`	Evaluating the Generalization Ability of Support Vector Machines through the Bootstrap. Neural Process. Lett. Davide Anguita, Andrea Boni, Sandro Ridella
2000	—	`conf`	Fast Training of Support Vector Machines for Regression. IJCNN (5) Davide Anguita, Andrea Boni, Stefano Pace
1999	B	`conf`	A VLSI friendly algorithm for support vector machines. IJCNN Davide Anguita, Andrea Boni, Sandro Ridella
1999	—	`conf`	Support Vector Machines: A Comparison of Some Kernel Functions. IIA/SOCO Davide Anguita, Andrea Boni, Sandro Ridella
1999	J	`jnl`	Worst case analysis of weight inaccuracy effects in multilayer perceptrons. IEEE Trans. Neural Networks Davide Anguita, Sandro Ridella, Stefano Rovetta
1998	—	`conf`	High Performance Neurocomputing: Industrial and Medical Applications of the RAIN System. HPCN Europe Davide Anguita, Andrea Boni, Marco Chirico, Fabrizio Giudici, Anna Marina Scapolla, Giancarlo Parodi
1997	—	`conf`	RAIN: Redundant Array of Inexpensive workstations for Neurocomputing. Euro-Par Davide Anguita, Marco Chirico, Anna Marina Scapolla, Giancarlo Parodi
1996	—	`conf`	Limiting the effects of weight errors in feedforward networks using interval arithmetic. ICNN Davide Anguita, Sandro Ridella, Stefano Rovetta, Rodolfo Zunino
1996	J	`jnl`	Mixing floating- and fixed-point formats for neural network learning on neuroprocessors. Microprocess. Microprogramming Davide Anguita, Benedict A. Gomes
1995	J	`jnl`	A heterogeneous and reconfigurable machine-vision system. Mach. Vis. Appl. Davide Anguita, Vito Di Gesù, Gaetano Gerardi, Biagio Lenzitti, Domenico Tegolo
1995	—	`conf`	Learning in large neural networks. HPCN Europe Davide Anguita, Filippo Passaggio, Rodolfo Zunino
1995	J	`jnl`	Neural structures for visual motion tracking. Mach. Vis. Appl. Davide Anguita, Giancarlo Parodi, Rodolfo Zunino
1995	Misc	`conf`	Object Oriented Design of a Simulator for Large BP Neural Networks. IWANN Jean-Marc Adamo, Davide Anguita
1994	J	`jnl`	An efficient implementation of BP on RISC-based workstations. Neurocomputing Davide Anguita, Giancarlo Parodi, Rodolfo Zunino
1994	J	`jnl`	Associative structures for vision. Multidimens. Syst. Signal Process. Davide Anguita, Giancarlo Parodi, Rodolfo Zunino
1991	—	`conf`	Transputer-based architectures for associative image classification. SPDP Davide Anguita, Giancarlo Parodi, Domenico Ponta, Rodolfo Zunino