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Computer Science

D-Index
36
Citations
9535
World Ranking
11009
National Ranking
349

Overview

Luca Oneto is affiliated with the University of Genoa in Italy and has a research focus spanning computer science and engineering. Their publication record includes over a hundred works, emphasizing artificial intelligence and engineering applications, particularly within maritime and safety domains.

Their main fields of study include:

  • Computer Science
  • Engineering

Within these broad areas, Oneto's subfields of study comprise:

  • Artificial Intelligence
  • Ocean Engineering
  • Civil and Structural Engineering
  • Information Systems
  • Safety Research

The scientist's research topics highlight specific challenges in AI and maritime contexts, focusing on:

  • Explainable Artificial Intelligence (XAI)
  • Adversarial Robustness in Machine Learning
  • Ethics and Social Impacts of AI
  • Maritime Transport Emissions and Efficiency
  • Ship Hydrodynamics and Maneuverability
  • Maritime Navigation and Safety
  • Risk and Safety Analysis

Luca Oneto has frequently published in venues specializing in computing and engineering disciplines, including:

  • Neurocomputing
  • Ocean Engineering
  • arXiv (Cornell University)
  • Zenodo (CERN European Organization for Nuclear Research)
  • PLoS Computational Biology

Some of their recent papers include:

  • "JUCS - Journal of Universal Computer Science" (2020), published in CINECA IRIS Institutional Research Information System (University of Pisa)
  • "Determining the most influential human factors in maritime accidents: A data-driven approach" (2020), published in Ocean Engineering
  • "Eleven quick tips for data cleaning and feature engineering" (2022), published in PLoS Computational Biology
  • "Predicting the cavitating marine propeller noise at design stage: A deep learning based approach" (2020), published in Ocean Engineering
  • "Identifying the Determinants of Innovation Capability With Machine Learning and Patents" (2020), published in IEEE Transactions on Engineering Management

They have collaborated extensively with other researchers. Frequent co-authors include:

  • Andrea Coraddu
  • Davide Anguita
  • Nicolò Navarin
  • Davide Chicco
  • Miltiadis Kalikatzarakis

In addition to articles, Luca Oneto has contributed to several academic books published mainly by Springer. Their books include:

  • "Communications, Signal Processing, and Systems" (2022)
  • "Sensing Technology" (2022)
  • "Recent Advances in Electrical Engineering, Electronics and Energy" (2022)
  • "Innovation in Physical Activity and Sport" (2021)

Best Publications

  • A public domain dataset for human activity recognition using smartphones

    Davide Anguita;Alessandro Ghio;Luca Oneto;Xavier Parra

  • Human activity recognition on smartphones using a multiclass hardware-friendly support vector machine

    Davide Anguita;Alessandro Ghio;Luca Oneto;Xavier Parra

  • Transition-Aware Human Activity Recognition Using Smartphones

    Jorge-L. Reyes-Ortiz;Luca Oneto;Albert Samà;Xavier Parra

  • Fairness in Machine Learning

    Luca Oneto;Silvia Chiappa

  • Technical analysis and sentiment embeddings for market trend prediction

    Andrea Picasso;Simone Merello;Yukun Ma;Luca Oneto

  • Big Data Analytics in the Cloud: Spark on Hadoop vs MPI/OpenMP on Beowulf

    Jorge Luis Reyes-Ortiz;Luca Oneto;Davide Anguita

  • Energy Efficient Smartphone-Based Activity Recognition Using Fixed-Point Arithmetic

    Davide Anguita;Alessandro Ghio;Luca Oneto;Xavier Parra

  • Empirical Risk Minimization Under Fairness Constraints

    Michele Donini;Luca Oneto;Shai Ben-David;John S. Shawe-Taylor

  • The 'K' in K-fold Cross Validation

    Davide Anguita;Luca Ghelardoni;Alessandro Ghio;Luca Oneto

  • Data-driven ship digital twin for estimating the speed loss caused by the marine fouling

    Andrea Coraddu;Luca Oneto;Francesco Baldi;Francesca Cipollini

  • Vessels fuel consumption forecast and trim optimisation: A data analytics perspective

    Andrea Coraddu;Luca Oneto;Francesco Baldi;Davide Anguita

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

    Andrea Coraddu;Luca Oneto;Alessandro Ghio;Stefano Savio

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

    Emanuele Fumeo;Luca Oneto;Davide Anguita

  • Train Delay Prediction Systems: A Big Data Analytics Perspective ☆

    Luca Oneto;Emanuele Fumeo;Giorgio Clerico;Renzo Canepa

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

    D. Anguita;A. Ghio;L. Oneto;S. Ridella

  • Model selection for support vector machines: Advantages and disadvantages of the Machine Learning Theory

    Davide Anguita;Alessandro Ghio;Noemi Greco;Luca Oneto

  • Statistical Learning Theory and ELM for Big Social Data Analysis

    Luca Oneto;Federica Bisio;Erik Cambria;Davide Anguita

  • 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

  • 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

  • Determining the most influential human factors in maritime accidents: A data-driven approach

    Andrea Coraddu;Luca Oneto;Beatriz Navas de Maya;Rafet Kurt

  • A learning analytics approach to correlate the academic achievements of students with interaction data from an educational simulator

    Mehrnoosh Vahdat;Mehrnoosh Vahdat;Luca Oneto;Davide Anguita;Mathias Funk

  • Empirical Risk Minimization under Fairness Constraints

    Michele Donini;Luca Oneto;Shai Ben-David;John Shawe-Taylor

  • Fair regression with Wasserstein barycenters

    Evgenii Chzhen;Christophe Denis;Mohamed Hebiri;Luca Oneto

Frequent Co-Authors

Davide Anguita
Davide Anguita University of Genoa
Massimiliano Pontil
Massimiliano Pontil Italian Institute of Technology
Erik Cambria
Erik Cambria Nanyang Technological University
Alessandro Sperduti
Alessandro Sperduti University of Padua
Matthias Rauterberg
Matthias Rauterberg Eindhoven University of Technology
John Shawe-Taylor
John Shawe-Taylor University College London
Shai Ben-David
Shai Ben-David University of Waterloo
Antonio Camurri
Antonio Camurri University of Genoa
Federico Delfino
Federico Delfino University of Genoa
Stefano Bianco
Stefano Bianco Polytechnic University of Turin

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