Luca Oneto
Orcid: 0000-0002-8445-395X
According to our database1,
Luca Oneto
authored at least 172 papers
between 2010 and 2024.
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Bibliography
2024
Advances in artificial neural networks, machine learning and computational intelligence.
Neurocomputing, February, 2024
Fair graph representation learning: Empowering NIFTY via Biased Edge Dropout and Fair Attribute Preprocessing.
Neurocomputing, January, 2024
CoRR, 2024
Computationally Aware Surrogate Models for the Hydrodynamic Response Characterization of Floating Spar-Type Offshore Wind Turbine.
IEEE Access, 2024
2023
Neurocomputing, July, 2023
On the problem of recommendation for sensitive users and influential items: Simultaneously maintaining interest and diversity.
Knowl. Based Syst., 2023
Physically plausible propeller noise prediction via recursive corrections leveraging prior knowledge and experimental data.
Eng. Appl. Artif. Intell., 2023
ACM Comput. Surv., 2023
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023
PhishVision: A Deep Learning Based Visual Brand Impersonation Detector for Identifying Phishing Attacks.
Proceedings of the Optimization, Learning Algorithms and Applications, 2023
Proceedings of the Advances in Computational Intelligence, 2023
Short-term Forecast and Long-term Simulation for Accurate Energy Consumption Prediction.
Proceedings of the 10th IEEE International Conference on Data Science and Advanced Analytics, 2023
Springer, ISBN: 978-88-470-4025-0, 2023
2022
PLoS Comput. Biol., December, 2022
Identifying the Determinants of Innovation Capability With Machine Learning and Patents.
IEEE Trans. Engineering Management, 2022
Optimizing Fuel Consumption in Thrust Allocation for Marine Dynamic Positioning Systems.
IEEE Trans Autom. Sci. Eng., 2022
Advances in artificial neural networks, machine learning and computational intelligence.
Neurocomputing, 2022
Towards learning trustworthily, automatically, and with guarantees on graphs: An overview.
Neurocomputing, 2022
Advances in artificial neural networks, machine learning and computational intelligence.
Neurocomputing, 2022
Neurocomputing, 2022
Simple Non Regressive Informed Machine Learning Model for Prescriptive Maintenance of Track Circuits in a Subway Environment.
Proceedings of the Advances in System-Integrated Intelligence, 2022
Proceedings of the Advances in System-Integrated Intelligence, 2022
Proceedings of the 31st IEEE International Conference on Robot and Human Interactive Communication, 2022
Deep Learning for the Generation of Heuristics in Answer Set Programming: A Case Study of Graph Coloring.
Proceedings of the Logic Programming and Nonmonotonic Reasoning, 2022
The Importance of Multiple Temporal Scales in Motion Recognition: from Shallow to Deep Multi Scale Models.
Proceedings of the International Joint Conference on Neural Networks, 2022
The Importance of Multiple Temporal Scales in Motion Recognition: when Shallow Model can Support Deep Multi Scale Models.
Proceedings of the International Joint Conference on Neural Networks, 2022
Proceedings of the 30th European Symposium on Artificial Neural Networks, 2022
Simple Non Regressive Informed Machine Learning Model for Predictive Maintenance of Railway Critical Assets.
Proceedings of the 30th European Symposium on Artificial Neural Networks, 2022
Proceedings of the 30th European Symposium on Artificial Neural Networks, 2022
Proceedings of the 9th Italian Workshop on Artificial Intelligence and Robotics co-located with the the 21th International Conference of the Italian Association for Artificial Intelligence, 2022
A Cloud Architecture for Emotion Recognition Based on the Appraisal Theory (short paper).
Proceedings of the 9th Italian Workshop on Artificial Intelligence and Robotics co-located with the the 21th International Conference of the Italian Association for Artificial Intelligence, 2022
2021
An Enhanced Random Forests Approach to Predict Heart Failure From Small Imbalanced Gene Expression Data.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021
Computational intelligence identifies alkaline phosphatase (ALP), alpha-fetoprotein (AFP), and hemoglobin levels as most predictive survival factors for hepatocellular carcinoma.
Health Informatics J., 2021
Toward Learning Trustworthily from Data Combining Privacy, Fairness, and Explainability: An Application to Face Recognition.
Entropy, 2021
Marine dual fuel engines monitoring in the wild through weakly supervised data analytics.
Eng. Appl. Artif. Intell., 2021
Data analytics and clinical feature ranking of medical records of patients with sepsis.
BioData Min., 2021
A Machine Learning Analysis of Health Records of Patients With Chronic Kidney Disease at Risk of Cardiovascular Disease.
IEEE Access, 2021
Proceedings of the Fourteenth International Symposium on Combinatorial Search, 2021
Accuracy and Intrusiveness in Data-Driven Violin Players Skill Levels Prediction: MOCAP Against MYO Against KINECT.
Proceedings of the Advances in Computational Intelligence, 2021
Proceedings of the International Joint Conference on Neural Networks, 2021
Proceedings of the Computational Science - ICCS 2021, 2021
Proceedings of the 29th European Symposium on Artificial Neural Networks, 2021
Proceedings of the 29th European Symposium on Artificial Neural Networks, 2021
Proceedings of the 29th European Symposium on Artificial Neural Networks, 2021
Proceedings of the Thirty-First International Conference on Automated Planning and Scheduling, 2021
Keep it Simple: Handcrafting Feature and Tuning Random Forests and XGBoost to face the Affective Movement Recognition Challenge 2021.
Proceedings of the 2021 9th International Conference on Affective Computing and Intelligent Interaction, 2021
2020
IEEE Trans. Sustain. Comput., 2020
Randomized learning and generalization of fair and private classifiers: From PAC-Bayes to stability and differential privacy.
Neurocomputing, 2020
Advances in artificial neural networks, machine learning and computational intelligence.
Neurocomputing, 2020
A dynamic, interpretable, and robust hybrid data analytics system for train movements in large-scale railway networks.
Int. J. Data Sci. Anal., 2020
Understanding Violin Players' Skill Level Based on Motion Capture: a Data-Driven Perspective.
Cogn. Comput., 2020
Exploiting MMD and Sinkhorn Divergences for Fair and Transferable Representation Learning.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Towards Online Discovery of Data-Aware Declarative Process Models from Event Streams.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Proceedings of the 28th European Symposium on Artificial Neural Networks, 2020
Proceedings of the 28th European Symposium on Artificial Neural Networks, 2020
Proceedings of the 7th IEEE International Conference on Data Science and Advanced Analytics, 2020
2019
Advances in artificial neural networks, machine learning and computational intelligence: Selected papers from the 26<sup><i>th</i></sup> European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2018).
Neurocomputing, 2019
Expert Syst. Appl., 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Prescriptive Maintenance of Railway Infrastructure: From Data Analytics to Decision Support.
Proceedings of the 6th International Conference on Models and Technologies for Intelligent Transportation Systems, 2019
Improving Railway Maintenance Actions with Big Data and Distributed Ledger Technologies.
Proceedings of the Recent Advances in Big Data and Deep Learning, 2019
Proceedings of the Recent Advances in Big Data and Deep Learning, 2019
Proceedings of the Recent Advances in Big Data and Deep Learning, 2019
Proceedings of the Recent Trends in Learning From Data, 2019
Restoration Time Prediction in Large Scale Railway Networks: Big Data and Interpretability.
Proceedings of the Recent Advances in Big Data and Deep Learning, 2019
Proceedings of the Recent Advances in Big Data and Deep Learning, 2019
Proceedings of the Recent Advances in Big Data and Deep Learning, 2019
Proceedings of the Recent Advances in Big Data and Deep Learning, 2019
Ensemble Application of Transfer Learning and Sample Weighting for Stock Market Prediction.
Proceedings of the International Joint Conference on Neural Networks, 2019
Proceedings of the International Joint Conference on Neural Networks, 2019
PAC-Bayes and Fairness: Risk and Fairness Bounds on Distribution Dependent Fair Priors.
Proceedings of the 27th European Symposium on Artificial Neural Networks, 2019
Fairness and Accountability of Machine Learning Models in Railway Market: are Applicable Railway Laws Up to Regulate Them?
Proceedings of the 27th European Symposium on Artificial Neural Networks, 2019
Proceedings of the 27th European Symposium on Artificial Neural Networks, 2019
Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society, 2019
2018
WIREs Data Mining Knowl. Discov., 2018
Learning With Kernels: A Local Rademacher Complexity-Based Analysis With Application to Graph Kernels.
IEEE Trans. Neural Networks Learn. Syst., 2018
Data-Driven Photovoltaic Power Production Nowcasting and Forecasting for Polygeneration Microgrids.
IEEE Syst. J., 2018
Condition-based maintenance of naval propulsion systems: Data analysis with minimal feedback.
Reliab. Eng. Syst. Saf., 2018
Neural Process. Lett., 2018
Randomized learning: Generalization performance of old and new theoretically grounded algorithms.
Neurocomputing, 2018
Advances in artificial neural networks, machine learning and computational intelligence.
Neurocomputing, 2018
Big Data Res., 2018
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Unintrusive Monitoring of Induction Motors Bearings via Deep Learning on Stator Currents.
Proceedings of the INNS Conference on Big Data and Deep Learning 2018, 2018
Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018
Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018
Large-Scale Railway Networks Train Movements: A Dynamic, Interpretable, and Robust Hybrid Data Analytics System.
Proceedings of the 5th IEEE International Conference on Data Science and Advanced Analytics, 2018
2017
Dynamic Delay Predictions for Large-Scale Railway Networks: Deep and Shallow Extreme Learning Machines Tuned via Thresholdout.
IEEE Trans. Syst. Man Cybern. Syst., 2017
Pattern Recognit. Lett., 2017
Neurocomputing, 2017
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017
Marine Safety and Data Analytics: Vessel Crash Stop Maneuvering Performance Prediction.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2017, 2017
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2017, 2017
Dropout Prediction at University of Genoa: a Privacy Preserving Data Driven Approach.
Proceedings of the 25th European Symposium on Artificial Neural Networks, 2017
Generalization Performances of Randomized Classifiers and Algorithms built on Data Dependent Distributions.
Proceedings of the 25th European Symposium on Artificial Neural Networks, 2017
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017
2016
Proceedings of the Advances in Neural Networks - Computational Intelligence for ICT, 2016
ACM Trans. Embed. Comput. Syst., 2016
PAC-bayesian analysis of distribution dependent priors: Tighter risk bounds and stability analysis.
Pattern Recognit. Lett., 2016
Neural Process. Lett., 2016
Mach. Learn., 2016
IEEE Comput. Intell. Mag., 2016
Proceedings of the 2nd IEEE International Forum on Research and Technologies for Society and Industry Leveraging a better tomorrow, 2016
Delay Prediction System for Large-Scale Railway Networks Based on Big Data Analytics.
Proceedings of the Advances in Big Data, 2016
Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016
Tuning the Distribution Dependent Prior in the PAC-Bayes Framework based on Empirical Data.
Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016
Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016
Advances in Learning with Kernels: Theory and Practice in a World of growing Constraints.
Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016
Advanced Analytics for Train Delay Prediction Systems by Including Exogenous Weather Data.
Proceedings of the 2016 IEEE International Conference on Data Science and Advanced Analytics, 2016
2015
Dataset, September, 2015
Dataset, July, 2015
Neural Networks, 2015
Learning Resource-Aware Classifiers for Mobile Devices: From Regularization to Energy Efficiency.
Neurocomputing, 2015
Proceedings of the INNS Conference on Big Data 2015, 2015
Condition Based Maintenance in Railway Transportation Systems Based on Big Data Streaming Analysis.
Proceedings of the INNS Conference on Big Data 2015, 2015
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015
Support vector machines and strictly positive definite kernel: The regularization hyperparameter is more important than the kernel hyperparameters.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015
Proceedings of the 23rd European Symposium on Artificial Neural Networks, 2015
Proceedings of the 23rd European Symposium on Artificial Neural Networks, 2015
Model Selection for Big Data: Algorithmic Stability and Bag of Little Bootstraps on GPUs.
Proceedings of the 23rd European Symposium on Artificial Neural Networks, 2015
A Learning Analytics Approach to Correlate the Academic Achievements of Students with Interaction Data from an Educational Simulator.
Proceedings of the Design for Teaching and Learning in a Networked World, 2015
Performance assessment and uncertainty quantification of predictive models for smart manufacturing systems.
Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015
2014
A Deep Connection Between the Vapnik-Chervonenkis Entropy and the Rademacher Complexity.
IEEE Trans. Neural Networks Learn. Syst., 2014
Unlabeled patterns to tighten Rademacher complexity error bounds for kernel classifiers.
Pattern Recognit. Lett., 2014
Smartphone battery saving by bit-based hypothesis spaces and local Rademacher Complexities.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014
Proceedings of the 2014 IEEE International Conference on Data Mining Workshops, 2014
Human Activity Recognition on Smartphones with Awareness of Basic Activities and Postural Transitions.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2014, 2014
Proceedings of the 22th European Symposium on Artificial Neural Networks, 2014
Learning with few bits on small-scale devices: From regularization to energy efficiency.
Proceedings of the 22th European Symposium on Artificial Neural Networks, 2014
A Learning Analytics Methodology to Profile Students Behavior and Explore Interactions with a Digital Electronics Simulator.
Proceedings of the Open Learning and Teaching in Educational Communities, 2014
2013
An improved analysis of the Rademacher data-dependent bound using its self bounding property.
Neural Networks, 2013
J. Univers. Comput. Sci., 2013
A support vector machine classifier from a bit-constrained, sparse and localized hypothesis space.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2013, 2013
Training Computationally Efficient Smartphone-Based Human Activity Recognition Models.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2013, 2013
Proceedings of the 21st European Symposium on Artificial Neural Networks, 2013
Proceedings of the 21st European Symposium on Artificial Neural Networks, 2013
2012
In-Sample and Out-of-Sample Model Selection and Error Estimation for Support Vector Machines.
IEEE Trans. Neural Networks Learn. Syst., 2012
Neural Process. Lett., 2012
Human Activity Recognition on Smartphones Using a Multiclass Hardware-Friendly Support Vector Machine.
Proceedings of the Ambient Assisted Living and Home Care - 4th International Workshop, 2012
Rademacher Complexity and Structural Risk Minimization: An Application to Human Gene Expression Datasets.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012
Proceedings of the 20th European Symposium on Artificial Neural Networks, 2012
Proceedings of the 20th European Symposium on Artificial Neural Networks, 2012
2011
The Impact of Unlabeled Patterns in Rademacher Complexity Theory for Kernel Classifiers.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011
Selecting the hypothesis space for improving the generalization ability of Support Vector Machines.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011
Proceedings of the 19th European Symposium on Artificial Neural Networks, 2011
2010
Model selection for support vector machines: Advantages and disadvantages of the Machine Learning Theory.
Proceedings of the International Joint Conference on Neural Networks, 2010