Luca Oneto

Davide Anguita, Luca Oneto, Andrea Coraddu, 2016, 2016 IEEE 2nd International Forum on Research and Technologies for Society and Industry Leveraging a better tomorrow (RTSI).

Tuning the Distribution Dependent Prior in the PAC-Bayes Framework based on Empirical Data

Davide Anguita, Luca Oneto, Sandro Ridella, 2016, ESANN.

A dynamic, interpretable, and robust hybrid data analytics system for train movements in large-scale railway networks

Davide Anguita, Luca Oneto, Simone Petralli, 2019, International Journal of Data Science and Analytics.

PAC-Bayes and Fairness: Risk and Fairness Bounds on Distribution Dependent Fair Priors

Luca Oneto, Massimiliano Pontil, Michele Donini, 2019, ESANN.

Low-Resource Footprint, Data-Driven Malware Detection on Android

Luca Oneto, Francesco Palmieri, Alessio Merlo, 2020, IEEE Transactions on Sustainable Computing.

Unsupervised Deep Learning for Induction Motor Bearings Monitoring

Luca Oneto, Andrea Coraddu, Francesca Cipollini, 2019, Data-Enabled Discovery and Applications.

Dynamic Delay Predictions for Large-Scale Railway Networks: Deep and Shallow Extreme Learning Machines Tuned via Thresholdout

Davide Anguita, Luca Oneto, Renzo Canepa, 2017, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

Advanced Analytics for Train Delay Prediction Systems by Including Exogenous Weather Data

Davide Anguita, Luca Oneto, Renzo Canepa, 2016, 2016 IEEE International Conference on Data Science and Advanced Analytics (DSAA).

A Learning Analytics Approach to Correlate the Academic Achievements of Students with Interaction Data from an Educational Simulator

Davide Anguita, Luca Oneto, Matthias Rauterberg, 2015, EC-TEL.

Cavitation Noise Spectra Prediction with Hybrid Models

Davide Anguita, Luca Oneto, Giorgio Tani, 2019, INNSBDDL.

Energy Efficient Smartphone-Based Activity Recognition using Fixed-Point Arithmetic

Davide Anguita, Luca Oneto, Alessandro Ghio, 2013, J. Univers. Comput. Sci..

Statistical Learning Theory and ELM for Big Social Data Analysis

Davide Anguita, Luca Oneto, Erik Cambria, 2016, IEEE Computational Intelligence Magazine.

Sequential Networks as Finite State Machines

Davide Anguita, Luca Oneto, Domenico Ponta, 2019 .

Identifying the Determinants of Innovation Capability With Machine Learning and Patents

Luca Oneto, Raffaella Manzini, Gloria Puliga, 2022, IEEE Transactions on Engineering Management.

Human Activity Recognition on Smartphones Using a Multiclass Hardware-Friendly Support Vector Machine

Davide Anguita, Luca Oneto, Alessandro Ghio, 2012, IWAAL.

Out-of-Sample Error Estimation: The Blessing of High Dimensionality

Davide Anguita, Luca Oneto, Sandro Ridella, 2014, 2014 IEEE International Conference on Data Mining Workshop.

Introduction to Sequential Networks

Davide Anguita, Luca Oneto, Domenico Ponta, 2019 .

Visual Analytics for Supporting Conflict Resolution in Large Railway Networks

Daniel A. Keim, Davide Anguita, Luca Oneto, 2019, INNSBDDL.

Train Delay Prediction Systems: A Big Data Analytics Perspective

Davide Anguita, Luca Oneto, Renzo Canepa, 2017, Big Data Res..

Random Forests Model Selection

Davide Anguita, Luca Oneto, Ilenia Orlandi, 2016, ESANN.

Hybrid Model for Cavitation Noise Spectra Prediction

Luca Oneto, Giorgio Tani, Michele Viviani, 2019, 2019 International Joint Conference on Neural Networks (IJCNN).

Societal Issues in Machine Learning: When Learning from Data is Not Enough

Paulo J. G. Lisboa, Davide Bacciu, Luca Oneto, 2019, ESANN.

Improving Railway Maintenance Actions with Big Data and Distributed Ledger Technologies

Davide Anguita, Luca Oneto, Marie Swiatek, 2019, INNSBDDL.

Machine learning approaches for improving condition-based maintenance of naval propulsion plants

Davide Anguita, Luca Oneto, Massimo Figari, 2016 .

Measuring the Expressivity of Graph Kernels through the Rademacher Complexity

Alessandro Sperduti, Davide Anguita, Luca Oneto, 2016, ESANN.

Prescriptive Maintenance of Railway Infrastructure: From Data Analytics to Decision Support

Luca Oneto, Alice Consilvio, Nicola Sacco, 2019, 2019 6th International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS).

Local Rademacher Complexity: Sharper risk bounds with and without unlabeled samples

Davide Anguita, Luca Oneto, Sandro Ridella, 2015, Neural Networks.

Vessel monitoring based on sensors data collection

Luca Oneto, Andrea Coraddu, Toine Cleophas, 2015 .

Measuring the expressivity of graph kernels through Statistical Learning Theory

Alessandro Sperduti, Davide Anguita, Luca Oneto, 2017, Neurocomputing.

Introduction to FPGA and HDL Design

Davide Anguita, Luca Oneto, Domenico Ponta, 2019 .

Learning Hardware Friendly Classifiers Through Algorithmic Risk Minimization

Davide Anguita, Luca Oneto, L. Oneto, 2015, Advances in Neural Networks.

Complexity-Based Methods

Luca Oneto, L. Oneto, 2019, Model Selection and Error Estimation in a Nutshell.

An improved analysis of the Rademacher data-dependent bound using its self bounding property

Davide Anguita, Luca Oneto, Sandro Ridella, 2013, Neural Networks.

Constraint-Aware Data Analysis on Mobile Devices: An Application to Human Activity Recognition on Smartphones

Davide Anguita, Luca Oneto, J. L. Ortiz, 2017 .

A novelty detection approach to diagnosing hull and propeller fouling

Luca Oneto, Alan J. Murphy, Kayvan Pazouki, 2019, Ocean Engineering.

Semi-supervised Learning for Affective Common-Sense Reasoning

Davide Anguita, Luca Oneto, Erik Cambria, 2017, Cognitive Computation.

Advances in artificial neural networks, machine learning, and computational intelligence (ESANN 2011)

Luca Oneto, Frank-Michael Schleif, Kerstin Bunte, 2011, Neurocomputing.

Technical analysis and sentiment embeddings for market trend prediction

Luca Oneto, Erik Cambria, Yukun Ma, 2019, Expert Syst. Appl..

Dropout Prediction at University of Genoa: a Privacy Preserving Data Driven Approach

Davide Anguita, Luca Oneto, Gianvittorio Luria, 2017, ESANN.

Learning fair models and representations

Luca Oneto, L. Oneto, 2020, Intelligenza Artificiale.

Learning Deep Fair Graph Neural Networks

Luca Oneto, Nicolò Navarin, Michele Donini, 2020, ESANN.

A Public Domain Dataset for Human Activity Recognition using Smartphones

Davide Anguita, Luca Oneto, Alessandro Ghio, 2013, ESANN.

Fairness and Accountability of Machine Learning Models in Railway Market: are Applicable Railway Laws Up to Regulate Them?

Luca Oneto, Charlotte Ducuing, Renzo Canepa, 2019, ESANN.

Fully Empirical and Data-Dependent Stability-Based Bounds

Davide Anguita, Luca Oneto, Sandro Ridella, 2015, IEEE Transactions on Cybernetics.

Ensemble of Technical Analysis and Machine Learning for Market Trend Prediction

Luca Oneto, Erik Cambria, Yukun Ma, 2018, 2018 IEEE Symposium Series on Computational Intelligence (SSCI).

Simple continuous optimal regions of the space of data

Luca Oneto, Francesca Cipollini, Alessio Carrega, 2019, Neurocomputing.

Learning Fair and Transferable Representations pdf

Luca Oneto, Massimiliano Pontil, Andreas Maurer, 2019, ArXiv.

PAC-bayesian analysis of distribution dependent priors: Tighter risk bounds and stability analysis

Davide Anguita, Luca Oneto, Sandro Ridella, 2016, Pattern Recognit. Lett..

Multilayer Graph Node Kernels: Stacking While Maintaining Convexity

Alessandro Sperduti, Davide Anguita, Luca Oneto, 2018, Neural Processing Letters.

Machine learning for wear forecasting of naval assets for condition-based maintenance applications

Davide Anguita, Luca Oneto, Alessandro Ghio, 2015, 2015 International Conference on Electrical Systems for Aircraft, Railway, Ship Propulsion and Road Vehicles (ESARS).

Learning With Kernels: A Local Rademacher Complexity-Based Analysis With Application to Graph Kernels

Alessandro Sperduti, Davide Anguita, Luca Oneto, 2018, IEEE Transactions on Neural Networks and Learning Systems.

Understanding Violin Players’ Skill Level Based on Motion Capture: a Data-Driven Perspective

Davide Anguita, Luca Oneto, Antonio Camurri, 2020, Cognitive Computation.

In-sample Model Selection for Trimmed Hinge Loss Support Vector Machine

Davide Anguita, Luca Oneto, Sandro Ridella, 2012, Neural Processing Letters.

The Finite State Machine as System Controller

Davide Anguita, Luca Oneto, Domenico Ponta, 2019 .

Introduction to Digital Systems Design

Luca Oneto, Domenico Ponta, Giuliano Donzellini, 2018 .

Fair regression via plug-in estimator and recalibration with statistical guarantees

Luca Oneto, Massimiliano Pontil, Evgenii Chzhen, 2020, NeurIPS.

Model Selection for Big Data: Algorithmic Stability and Bag of Little Bootstraps on GPUs

Davide Anguita, Luca Oneto, Alessandro Ghio, 2015, ESANN.

The 'K' in K-fold Cross Validation

Davide Anguita, Luca Oneto, Sandro Ridella, 2012, ESANN.

Exploiting MMD and Sinkhorn Divergences for Fair and Transferable Representation Learning

Luca Oneto, Massimiliano Pontil, Carlo Ciliberto, 2020, NeurIPS.

Condition-Based Maintenance of Naval Propulsion Systems with supervised Data Analysis

Davide Anguita, Luca Oneto, Alan J. Murphy, 2018 .

Ensemble Application of Transfer Learning and Sample Weighting for Stock Market Prediction

Luca Oneto, Erik Cambria, Andrea Picasso Ratto, 2019, 2019 International Joint Conference on Neural Networks (IJCNN).

Selecting the hypothesis space for improving the generalization ability of Support Vector Machines

Davide Anguita, Luca Oneto, Sandro Ridella, 2011, The 2011 International Joint Conference on Neural Networks.

Unintrusive Monitoring of Induction Motors Bearings via Deep Learning on Stator Currents

Davide Anguita, Luca Oneto, Andrea Coraddu, 2018, INNS Conference on Big Data.

Investigating Timing and Impact of News on the Stock Market

Luca Oneto, Erik Cambria, Yukun Ma, 2018, 2018 IEEE International Conference on Data Mining Workshops (ICDMW).

Advances in Learning with Kernels: Theory and Practice in a World of growing Constraints

Davide Anguita, Luca Oneto, Fabio Aiolli, 2016, ESANN.

Algorithmic Stability Theory

Luca Oneto, L. Oneto, 2019, Model Selection and Error Estimation in a Nutshell.

Restoration Time Prediction in Large Scale Railway Networks: Big Data and Interpretability

Davide Anguita, Luca Oneto, Simone Petralli, 2019, INNSBDDL.

Deep Learning for Cavitating Marine Propeller Noise Prediction at Design Stage

Luca Oneto, Giorgio Tani, 2020, 2020 International Joint Conference on Neural Networks (IJCNN).

Human activity recognition on smartphones for mobile context awareness

Luca Oneto, Alessandro Ghio, J. L. Ortiz, 2012, NIPS 2012.

In-Sample and Out-of-Sample Model Selection and Error Estimation for Support Vector Machines

Davide Anguita, Luca Oneto, Sandro Ridella, 2012, IEEE Transactions on Neural Networks and Learning Systems.

Predicting Future Market Trends: Which Is the Optimal Window?

Luca Oneto, Erik Cambria, Andrea Picasso Ratto, 2019, INNSBDDL.

Empirical Risk Minimization under Fairness Constraints

Shai Ben-David, John Shawe-Taylor, Luca Oneto, 2018, NeurIPS.

Learning Fair and Transferable Representations with Theoretical Guarantees

Luca Oneto, Massimiliano Pontil, Michele Donini, 2020, 2020 IEEE 7th International Conference on Data Science and Advanced Analytics (DSAA).

Nested Sequential Minimal Optimization for Support Vector Machines

Davide Anguita, Luca Oneto, Sandro Ridella, 2012, ICANN.

Differential Privacy Theory

Luca Oneto, L. Oneto, 2019, Model Selection and Error Estimation in a Nutshell.

Condition Based Maintenance in Railway Transportation Systems Based on Big Data Streaming Analysis

Davide Anguita, Luca Oneto, Emanuele Fumeo, 2015, INNS Conference on Big Data.

A local Vapnik-Chervonenkis complexity

Davide Anguita, Luca Oneto, Sandro Ridella, 2016, Neural Networks.

Support vector machines and strictly positive definite kernel: The regularization hyperparameter is more important than the kernel hyperparameters

Davide Anguita, Luca Oneto, Sandro Ridella, 2015, 2015 International Joint Conference on Neural Networks (IJCNN).

Train Overtaking Prediction in Railway Networks: A Big Data Perspective

Davide Anguita, Luca Oneto, Simone Petralli, 2019, INNSBDDL.

Boolean Algebra and Combinational Logic

Davide Anguita, Luca Oneto, Domenico Ponta, 2019 .

Advances in learning analytics and educational data mining

Davide Anguita, Luca Oneto, Matthias Rauterberg, 2015, ESANN.

Mining Big Data with Random Forests

Davide Anguita, Luca Oneto, Alessandro Lulli, 2018, Cognitive Computation.

Crack random forest for arbitrary large datasets

Davide Anguita, Luca Oneto, Alessandro Lulli, 2017, 2017 IEEE International Conference on Big Data (Big Data).

Innovation Capability of Firms: A Big Data Approach with Patents

Luca Oneto, Raffaella Manzini, Linda Ponta, 2019, INNSBDDL.

Quantum computing and supervised machine learning

Davide Anguita, Luca Oneto, Sandro Ridella, 2017 .

Delay Prediction System for Large-Scale Railway Networks Based on Big Data Analytics

Davide Anguita, Luca Oneto, Renzo Canepa, 2016, INNS Conference on Big Data.

Taking Advantage of Multitask Learning for Fair Classification

Luca Oneto, Massimiliano Pontil, Michele Donini, 2018, AIES.

Flip-Flop-Based Synchronous Networks

Davide Anguita, Luca Oneto, Domenico Ponta, 2019 .

Model scale cavitation noise spectra prediction: Combining physical knowledge with data science

Luca Oneto, Michele Viviani, Francesca Cipollini, 2019, Ocean Engineering.

Operational profiles data analytics for ship design improvement

Davide Anguita, Luca Oneto, Andrea Coraddu, 2016 .

Advances in artificial neural networks, machine learning and computational intelligence

Luca Oneto, Michael Biehl, Fabio Aiolli, 2011, Neurocomputing.

Human Algorithmic Stability and Human Rademacher Complexity

Davide Anguita, Luca Oneto, Matthias Rauterberg, 2015, ESANN.

Shrinkage learning to improve SVM with hints

Davide Anguita, Luca Oneto, Sandro Ridella, 2015, 2015 International Joint Conference on Neural Networks (IJCNN).

Studying innovation with patents and machine learning algorithms: a laboratory for engineering students

Luca Oneto, Carlo Noe, Raffaella Manzini, 2020 .

Leveraging Labeled and Unlabeled Data for Consistent Fair Binary Classification

Luca Oneto, Massimiliano Pontil, Evgenii Chzhen, 2019, NeurIPS.

Tikhonov, Ivanov and Morozov regularization for support vector machine learning

Davide Anguita, Luca Oneto, Sandro Ridella, 2015, Machine Learning.

Performance assessment and uncertainty quantification of predictive models for smart manufacturing systems

Davide Anguita, Luca Oneto, Ilenia Orlandi, 2015, 2015 IEEE International Conference on Big Data (Big Data).

Optimizing Fuel Consumption in Thrust Allocation for Marine Dynamic Positioning Systems

Davide Anguita, Luca Oneto, Andrea Coraddu, 2021, IEEE Transactions on Automation Science and Engineering.

Natural language processing for aviation safety: extracting knowledge from publicly-available loss of separation reports

Luca Oneto, Carlo Dambra, Anthony Smoker, 2021, Open Research Europe.

In-Station Train Movements Prediction: from Shallow to Deep Multi Scale Models

Luca Oneto, Marco Maratea, Renzo Canepa, 2021, ESANN.

Toward Learning Trustworthily from Data Combining Privacy, Fairness, and Explainability: An Application to Face Recognition

Davide Anguita, Luca Oneto, Nicolò Navarin, 2021, Entropy.

An Enhanced Random Forests Approach to Predict Heart Failure From Small Imbalanced Gene Expression Data

Luca Oneto, Davide Chicco, D. Chicco, 2020, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Learn and Visually Explain Deep Fair Models: an Application to Face Recognition

Davide Anguita, Luca Oneto, Nicolò Navarin, 2021, 2021 International Joint Conference on Neural Networks (IJCNN).

Physical, data-driven and hybrid approaches to model engine exhaust gas temperatures in operational conditions

Luca Oneto, Andrea Coraddu, R. D. Geertsma, 2021, Ships and Offshore Structures.

Keep it Simple: Handcrafting Feature and Tuning Random Forests and XGBoost to face the Affective Movement Recognition Challenge 2021

Davide Anguita, Luca Oneto, Antonio Camurri, 2021, 2021 9th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW).

Accuracy and Intrusiveness in Data-Driven Violin Players Skill Levels Prediction: MOCAP Against MYO Against KINECT

Luca Oneto, Antonio Camurri, Gualtiero Volpe, 2021, IWANN.

A Planning-based Approach for In-Station Train Dispatching

Luca Oneto, Marco Maratea, Mauro Vallati, 2021, SOCS.

Complex Data: Learning Trustworthily, Automatically, and with Guarantees

Alessio Micheli, Franco Scarselli, Alessandro Sperduti, 2021, ESANN.

Data analytics and clinical feature ranking of medical records of patients with sepsis

Luca Oneto, Davide Chicco, D. Chicco, 2021, BioData Mining.

In-Station Train Dispatching: A PDDL+ Planning Approach

Luca Oneto, Marco Maratea, Mauro Vallati, 2021, ICAPS.

An Efficient Hybrid Planning Framework for In-Station Train Dispatching

Luca Oneto, Marco Maratea, Mauro Vallati, 2021, ICCS.