Davide Anguita

ORCID

Publication Activity (10 Years)

Years Active: 1991-2024
Publications (10 Years): 75

Top Venues

Publications

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)
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)
Luca Oneto, Sandro Ridella, Davide Anguita
Do we really need a new theory to understand over-parameterization? Neurocomputing 543 (2023)
Olga Valenzuela, Andreu Català, Davide Anguita, Ignacio Rojas
New Advances in Artificial Neural Networks and Machine Learning Techniques. Neural Process. Lett. 55 (5) (2023)
Luca Oneto, Sandro Ridella, Davide Anguita
Towards Randomized Algorithms and Models that We Can Trust: a Theoretical Perspective. ESANN (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)
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)
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)
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)
Luca Oneto, Sandro Ridella, Davide Anguita
The benefits of adversarial defense in generalization. Neurocomputing 505 (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)
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)
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)
Cecilio Angulo, Zoe Falomir, Davide Anguita, Núria Agell, Erik Cambria
Bridging Cognitive Models and Recommender Systems. Cogn. Comput. 12 (2) (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)
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)
Luca Oneto, Sandro Ridella, Davide Anguita
Improving the Union Bound: a Distribution Dependent Approach. ESANN (2020)
Joaquín Luque, Davide Anguita, Francisco Pérez, Robert Denda
Spectral Analysis of Electricity Demand Using Hilbert-Huang Transform. Sensors 20 (10) (2020)
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)
Alessandro Lulli, Luca Oneto, Davide Anguita
Mining Big Data with Random Forests. Cogn. Comput. 11 (2) (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)
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)
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)
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)
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)
Alessandro Lulli, Luca Oneto, Renzo Canepa, Simone Petralli, Davide Anguita
Large-Scale Railway Networks Train Movements: A Dynamic, Interpretable, and Robust Hybrid Data Analytics System. DSAA (2018)
Francesca Cipollini, Luca Oneto, Andrea Coraddu, Alan John Murphy, Davide Anguita
Condition-based maintenance of naval propulsion systems: Data analysis with minimal feedback. Reliab. Eng. Syst. Saf. 177 (2018)
Francesca Cipollini, Luca Oneto, Andrea Coraddu, Stefano Savio, Davide Anguita
Unintrusive Monitoring of Induction Motors Bearings via Deep Learning on Stator Currents. INNS Conference on Big Data (2018)
Luca Oneto, Nicolò Navarin, Michele Donini, Davide Anguita
Emerging trends in machine learning: beyond conventional methods and data. ESANN (2018)
Luca Oneto, Emanuele Fumeo, Giorgio Clerico, Renzo Canepa, Federico Papa, Carlo Dambra, Nadia Mazzino, Davide Anguita
Train Delay Prediction Systems: A Big Data Analytics Perspective. Big Data Res. 11 (2018)
Luca Oneto, Nicolò Navarin, Alessandro Sperduti, Davide Anguita
Multilayer Graph Node Kernels: Stacking While Maintaining Convexity. Neural Process. Lett. 48 (2) (2018)
Luca Oneto, Sandro Ridella, Davide Anguita
Local Rademacher Complexity Machine. ESANN (2018)
Luca Oneto, Francesca Cipollini, Sandro Ridella, Davide Anguita
Randomized learning: Generalization performance of old and new theoretically grounded algorithms. Neurocomputing 298 (2018)
Luca Oneto, Federica Bisio, Erik Cambria, Davide Anguita
Semi-supervised Learning for Affective Common-Sense Reasoning. Cogn. Comput. 9 (1) (2017)
Luca Oneto, Nicolò Navarin, Alessandro Sperduti, Davide Anguita
Deep graph node kernels: A convex approach. IJCNN (2017)
Luca Oneto, Emanuele Fumeo, Giorgio Clerico, Renzo Canepa, Federico Papa, Carlo Dambra, Nadia Mazzino, Davide Anguita
Dynamic Delay Predictions for Large-Scale Railway Networks: Deep and Shallow Extreme Learning Machines Tuned via Thresholdout. IEEE Trans. Syst. Man Cybern. Syst. 47 (10) (2017)
Alessandro Lulli, Luca Oneto, Davide Anguita
ReForeSt: Random Forests in Apache Spark. ICANN (2) (2017)
Luca Oneto, Sandro Ridella, Davide Anguita
Differential privacy and generalization: Sharper bounds with applications. Pattern Recognit. Lett. 89 (2017)
Alessandro Lulli, Luca Oneto, Davide Anguita
Crack random forest for arbitrary large datasets. IEEE BigData (2017)
Luca Oneto, Nicolò Navarin, Michele Donini, Alessandro Sperduti, Fabio Aiolli, Davide Anguita
Measuring the expressivity of graph kernels through Statistical Learning Theory. Neurocomputing 268 (2017)
Luca Oneto, Federica Bisio, Erik Cambria, Davide Anguita
SLT-Based ELM for Big Social Data Analysis. Cogn. Comput. 9 (2) (2017)
Luca Oneto, Anna Siri, Gianvittorio Luria, Davide Anguita
Dropout Prediction at University of Genoa: a Privacy Preserving Data Driven Approach. ESANN (2017)
Isah Abdullahi Lawal, Fabio Poiesi, Davide Anguita, Andrea Cavallaro
Support Vector Motion Clustering. IEEE Trans. Circuits Syst. Video Technol. 27 (11) (2017)
Luca Oneto, Sandro Ridella, Davide Anguita
Generalization Performances of Randomized Classifiers and Algorithms built on Data Dependent Distributions. ESANN (2017)
Luca Oneto, Andrea Coraddu, Paolo Sanetti, Olena Karpenko, Francesca Cipollini, Toine Cleophas, Davide Anguita
Marine Safety and Data Analytics: Vessel Crash Stop Maneuvering Performance Prediction. ICANN (2) (2017)
Luca Oneto, Davide Anguita, Sandro Ridella
A local Vapnik-Chervonenkis complexity. Neural Networks 82 (2016)
Luca Oneto, Federica Bisio, Erik Cambria, Davide Anguita
Statistical Learning Theory and ELM for Big Social Data Analysis. IEEE Comput. Intell. Mag. 11 (3) (2016)
Luca Oneto, Emanuele Fumeo, Giorgio Clerico, Renzo Canepa, Federico Papa, Carlo Dambra, Nadia Mazzino, Davide Anguita
Advanced Analytics for Train Delay Prediction Systems by Including Exogenous Weather Data. DSAA (2016)
Luca Oneto, Sandro Ridella, Davide Anguita
Tuning the Distribution Dependent Prior in the PAC-Bayes Framework based on Empirical Data. ESANN (2016)
Luca Oneto, Emanuele Fumeo, Giorgio Clerico, Renzo Canepa, Federico Papa, Carlo Dambra, Nadia Mazzino, Davide Anguita
Delay Prediction System for Large-Scale Railway Networks Based on Big Data Analytics. INNS Conference on Big Data (2016)
Jorge Luis Reyes-Ortiz, Luca Oneto, Albert Samà, Xavier Parra, Davide Anguita
Transition-Aware Human Activity Recognition Using Smartphones. Neurocomputing 171 (2016)
Luca Oneto, Sandro Ridella, Davide Anguita
Learning Hardware-Friendly Classifiers Through Algorithmic Stability. ACM Trans. Embed. Comput. Syst. 15 (2) (2016)
Ilenia Orlandi, Luca Oneto, Davide Anguita
Random Forests Model Selection. ESANN (2016)
Luca Oneto, Sandro Ridella, Davide Anguita
Tikhonov, Ivanov and Morozov regularization for support vector machine learning. Mach. Learn. 103 (1) (2016)
Luca Oneto, Alessandro Ghio, Sandro Ridella, Davide Anguita
Global Rademacher Complexity Bounds: From Slow to Fast Convergence Rates. Neural Process. Lett. 43 (2) (2016)
Luca Oneto, Nicolò Navarin, Michele Donini, Alessandro Sperduti, Fabio Aiolli, Davide Anguita
Measuring the Expressivity of Graph Kernels through the Rademacher Complexity. ESANN (2016)
Luca Oneto, Davide Anguita, Andrea Coraddu, Toine Cleophas, Katerina Xepapa
Vessel monitoring and design in industry 4.0: A data driven perspective. RTSI (2016)
Luca Oneto, Nicolò Navarin, Michele Donini, Fabio Aiolli, Davide Anguita
Advances in Learning with Kernels: Theory and Practice in a World of growing Constraints. ESANN (2016)
Mehrnoosh Vahdat, Luca Oneto, Davide Anguita, Mathias Funk, Matthias Rauterberg
Can machine learning explain human learning? Neurocomputing 192 (2016)
Mehrnoosh Vahdat, Maira B. Carvalho, Mathias Funk, Matthias Rauterberg, Jun Hu, Davide Anguita
Learning Analytics for a Puzzle Game to Discover the Puzzle-Solving Tactics of Players. EC-TEL (2016)
Luca Oneto, Davide Anguita, Sandro Ridella
PAC-bayesian analysis of distribution dependent priors: Tighter risk bounds and stability analysis. Pattern Recognit. Lett. 80 (2016)
Luca Oneto, Alessandro Ghio, Sandro Ridella, Davide Anguita
Fast convergence of extended Rademacher Complexity bounds. IJCNN (2015)
Mehrnoosh Vahdat, Alessandro Ghio, Luca Oneto, Davide Anguita, Mathias Funk, Matthias Rauterberg
Advances in learning analytics and educational data mining. ESANN (2015)
Mehrnoosh Vahdat, Luca Oneto, Alessandro Ghio, Davide Anguita, Mathias Funk, Matthias Rauterberg
Human Algorithmic Stability and Human Rademacher Complexity. ESANN (2015)
Emanuele Fumeo, Luca Oneto, Davide Anguita
Condition Based Maintenance in Railway Transportation Systems Based on Big Data Streaming Analysis. INNS Conference on Big Data (2015)
Jorge Luis Reyes-Ortiz, Luca Oneto, Davide Anguita
Big Data Analytics in the Cloud: Spark on Hadoop vs MPI/OpenMP on Beowulf. INNS Conference on Big Data (2015)
Luca Oneto, Alessandro Ghio, Sandro Ridella, Davide Anguita
Support vector machines and strictly positive definite kernel: The regularization hyperparameter is more important than the kernel hyperparameters. IJCNN (2015)
Luca Oneto, Alessandro Ghio, Sandro Ridella, Davide Anguita
Fully Empirical and Data-Dependent Stability-Based Bounds. IEEE Trans. Cybern. 45 (9) (2015)
Luca Oneto, Bernardo Pilarz, Alessandro Ghio, Davide Anguita
Model Selection for Big Data: Algorithmic Stability and Bag of Little Bootstraps on GPUs. ESANN (2015)
Mehrnoosh Vahdat, Luca Oneto, Davide Anguita, Mathias Funk, Matthias Rauterberg
A Learning Analytics Approach to Correlate the Academic Achievements of Students with Interaction Data from an Educational Simulator. EC-TEL (2015)
Luca Oneto, Alessandro Ghio, Sandro Ridella, Davide Anguita
Local Rademacher Complexity: Sharper risk bounds with and without unlabeled samples. Neural Networks 65 (2015)
Luca Oneto, Alessandro Ghio, Sandro Ridella, Davide Anguita
Learning Resource-Aware Classifiers for Mobile Devices: From Regularization to Energy Efficiency. Neurocomputing 169 (2015)
Luca Oneto, Alessandro Ghio, Sandro Ridella, Davide Anguita
Shrinkage learning to improve SVM with hints. IJCNN (2015)
Luca Oneto, Ilenia Orlandi, Davide Anguita
Performance assessment and uncertainty quantification of predictive models for smart manufacturing systems. IEEE BigData (2015)
Luca Oneto, Alessandro Ghio, Sandro Ridella, Jorge Luis Reyes-Ortiz, Davide Anguita
Out-of-Sample Error Estimation: The Blessing of High Dimensionality. ICDM Workshops (2014)
Mehrnoosh Vahdat, Luca Oneto, Alessandro Ghio, Giuliano Donzellini, Davide Anguita, Mathias Funk, Matthias Rauterberg
A Learning Analytics Methodology to Profile Students Behavior and Explore Interactions with a Digital Electronics Simulator. EC-TEL (2014)
Davide Anguita, Alessandro Ghio, Luca Oneto, Sandro Ridella
Unlabeled patterns to tighten Rademacher complexity error bounds for kernel classifiers. Pattern Recognit. Lett. 37 (2014)
Davide Anguita, Alessandro Ghio, Luca Oneto, Sandro Ridella
Learning with few bits on small-scale devices: From regularization to energy efficiency. ESANN (2014)
Davide Anguita, Alessandro Ghio, Luca Oneto, Sandro Ridella
Smartphone battery saving by bit-based hypothesis spaces and local Rademacher Complexities. IJCNN (2014)
Davide Anguita, Alessandro Ghio, Luca Oneto, Sandro Ridella
A Deep Connection Between the Vapnik-Chervonenkis Entropy and the Rademacher Complexity. IEEE Trans. Neural Networks Learn. Syst. 25 (12) (2014)
Jorge Luis Reyes-Ortiz, Luca Oneto, Alessandro Ghio, Albert Samà, Davide Anguita, Xavier Parra
Human Activity Recognition on Smartphones with Awareness of Basic Activities and Postural Transitions. ICANN (2014)
Davide Anguita, Alessandro Ghio, Luca Oneto, Sandro Ridella
A support vector machine classifier from a bit-constrained, sparse and localized hypothesis space. IJCNN (2013)
Davide Anguita, Alessandro Ghio, Luca Oneto, Xavier Parra, Jorge Luis Reyes-Ortiz
Training Computationally Efficient Smartphone-Based Human Activity Recognition Models. ICANN (2013)
Davide Anguita, Alessandro Ghio, Luca Oneto, Sandro Ridella
A Learning Machine with a Bit-Based Hypothesis Space. ESANN (2013)
Jorge Luis Reyes-Ortiz, Alessandro Ghio, Xavier Parra, Davide Anguita, Joan Cabestany, Andreu Català
Human Activity and Motion Disorder Recognition: towards smarter Interactive Cognitive Environments. ESANN (2013)
Davide Anguita, Alessandro Ghio, Luca Oneto, Sandro Ridella
Some results about the Vapnik-Chervonenkis entropy and the rademacher complexity. IJCNN (2013)

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Publication Activity (10 Years)

Top Topics

Top Venues

Davide Anguita