L
Luca Oneto
Researcher at University of Genoa
Publications - 195
Citations - 7058
Luca Oneto is an academic researcher from University of Genoa. The author has contributed to research in topics: Computer science & Support vector machine. The author has an hindex of 29, co-authored 169 publications receiving 5046 citations. Previous affiliations of Luca Oneto include University of Pisa.
Papers
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Journal ArticleDOI
Statistical Learning Theory and ELM for Big Social Data Analysis
TL;DR: This paper shows how to exploit the most recent technological tools and advances in Statistical Learning Theory (SLT) in order to efficiently build an Extreme Learning Machine (ELM) and assess the resultant model's performance when applied to big social data analysis.
Journal ArticleDOI
Train Delay Prediction Systems: A Big Data Analytics Perspective ☆
Luca Oneto,Emanuele Fumeo,Giorgio Clerico,Renzo Canepa,Federico Papa,Carlo Dambra,Nadia Mazzino,Davide Anguita +7 more
TL;DR: This paper proposes a fast learning algorithm for Shallow and Deep Extreme Learning Machines that fully exploits the recent in-memory large-scale data processing technologies for predicting train delays.
Proceedings ArticleDOI
Model selection for support vector machines: Advantages and disadvantages of the Machine Learning Theory
TL;DR: It is shown in this paper that, in a small sample setting, when the dimensionality of the data is larger than the number of samples, a careful application of the MLT can outperform other methods in selecting the optimal hyperparameters of a SVM.
Journal ArticleDOI
Dynamic Delay Predictions for Large-Scale Railway Networks: Deep and Shallow Extreme Learning Machines Tuned via Thresholdout
Luca Oneto,Emanuele Fumeo,Giorgio Clerico,Renzo Canepa,Federico Papa,Carlo Dambra,Nadia Mazzino,Davide Anguita +7 more
TL;DR: A dynamic data-driven TD prediction system that exploits the most recent tools and techniques in the field of time varying big data analysis is built and results on real-world data coming from the Italian railway network show that the proposal is able to remarkably improve the state-of-the-art systems.
Book ChapterDOI
Human Activity Recognition on Smartphones with Awareness of Basic Activities and Postural Transitions
Jorge Luis Reyes-Ortiz,Jorge Luis Reyes-Ortiz,Luca Oneto,Alessandro Ghio,Albert Samà,Davide Anguita,Xavier Parra +6 more
TL;DR: This work proposes an online smartphone-based HAR system which deals with the occurrence of postural transitions and shows the new approach performs better than a previous baseline system, where PTs were not taken into account.