World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
32
Citations
4592
World Ranking
13143
National Ranking
251

Overview

Oriol Pujol is affiliated with the University of Barcelona in Spain and has contributed extensively to the field of Computer Science, particularly focusing on Artificial Intelligence. Their work spans various subfields including Mechanical Engineering, Safety Research, Computer Vision and Pattern Recognition, and Health Informatics.

Their research covers a range of topics such as Machine Learning and Data Classification, Neural Networks and Applications, Machine Learning and Algorithms, Explainable Artificial Intelligence (XAI), Ethics and Social Impacts of AI, Artificial Intelligence in Healthcare and Education, and Anomaly Detection Techniques and Applications.

Frequent co-authors collaborating with Oriol Pujol include:

  • Jordi Nin
  • Irene Unceta
  • Jordi Vitrià
  • José Mena
  • Albert Abio

Key recent publications illustrate the scope and focus of their work. These include:

  • FUTURE-AI: international consensus guideline for trustworthy and deployable artificial intelligence in healthcare, 2025, BMJ
  • A Survey on Uncertainty Estimation in Deep Learning Classification Systems from a Bayesian Perspective, 2021, ACM Computing Surveys
  • FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare, 2023, arXiv (Cornell University)
  • Uncertainty-Based Rejection Wrappers for Black-Box Classifiers, 2020, IEEE Access
  • Machine Learning-Based Surrogate Model for Press Hardening Process of 22MnB5 Sheet Steel Simulation in Industry 4.0, 2022, Materials

Oriol Pujol has published most frequently in the following venues:

  • arXiv (Cornell University)
  • IEEE Access
  • Entropy
  • Lecture Notes in Computer Science
  • BMJ

Their research output reflects a focus on advancing the understanding and application of AI techniques, with particular attention to healthcare and trustworthy AI systems. The multidisciplinary nature of their work spans both theoretical and applied aspects of machine learning, neural networks, and ethical considerations within AI technology deployment.

Best Publications

  • Human activity recognition from accelerometer data using a wearable device

    Pierluigi Casale;Oriol Pujol;Petia Radeva

  • On the Decoding Process in Ternary Error-Correcting Output Codes

    S. Escalera;O. Pujol;P. Radeva

  • Discriminant ECOC: a heuristic method for application dependent design of error correcting output codes

    O. Pujol;P. Radeva;J. Vitria

  • Traffic Sign Recognition Using Evolutionary Adaboost Detection and Forest-ECOC Classification

    X. Baro;S. Escalera;J. Vitria;O. Pujol

  • Personalization and user verification in wearable systems using biometric walking patterns

    Pierluigi Casale;Oriol Pujol;Petia Radeva

  • Standardized evaluation methodology and reference database for evaluating IVUS image segmentation

    Simone Balocco;Carlo Gatta;Francesco Ciompi;Andreas Wahle

  • Separability of ternary codes for sparse designs of error-correcting output codes

    Sergio Escalera;Oriol Pujol;Petia Radeva

  • Subclass Problem-Dependent Design for Error-Correcting Output Codes

    S. Escalera;D.M.J. Tax;O. Pujol;P. Radeva

  • SRBF: Speckle reducing bilateral filtering.

    Simone Balocco;Carlo Gatta;Oriol Pujol;Josepa Mauri

  • Blurred Shape Model for binary and grey-level symbol recognition

    Sergio Escalera;Alicia Fornés;Oriol Pujol;Petia Radeva

  • Rayleigh Mixture Model for Plaque Characterization in Intravascular Ultrasound

    J C Seabra;F Ciompi;O Pujol;J Mauri

  • An incremental node embedding technique for error correcting output codes

    Oriol Pujol;Sergio Escalera;Petia Radeva

  • A Survey on Uncertainty Estimation in Deep Learning Classification Systems from a Bayesian Perspective

    Unknown

  • Automatic Detection of Intestinal Juices in Wireless Capsule Video Endoscopy

    F. Vilarino;P. Spyridonos;O. Pujol;J. Vitria

  • Learning to count with deep object features

    Santi Segui;Oriol Pujol;Jordi Vitria

  • Error-Correcting Ouput Codes Library

    Sergio Escalera;Oriol Pujol;Petia Radeva

  • Probability-based Dynamic Time Warping and Bag-of-Visual-and-Depth-Words for Human Gesture Recognition in RGB-D

    Antonio Hernández-Vela;Miguel Ángel Bautista;Xavier Perez-Sala;Víctor Ponce-López

  • HoliMAb: A holistic approach for Media–Adventitia border detection in intravascular ultrasound

    Francesco Ciompi;Oriol Pujol;Carlo Gatta;Marina Alberti

  • Boosted Landmarks of Contextual Descriptors and Forest-ECOC: A novel framework to detect and classify objects in cluttered scenes

    Sergio Escalera;Oriol Pujol;Petia Radeva

  • Intravascular ultrasound images vessel characterization using Adaboost

    Oriol Pujol;Misael Rosales;Petia Radeva;Eduard Nofrerias-Fernández

  • Probability-Based Dynamic Time Warping for Gesture Recognition on RGB-D Data

    Miguel Ángel Bautista;Antonio Hernández-Vela;Victor Ponce;Xavier Perez-Sala

Frequent Co-Authors

Petia Radeva
Petia Radeva University of Barcelona
Sergio Escalera
Sergio Escalera University of Barcelona
Francesco Ciompi
Francesco Ciompi Radboud University
Josep Lladós
Josep Lladós Autonomous University of Barcelona
Robert P. W. Duin
Robert P. W. Duin Delft University of Technology
David M. J. Tax
David M. J. Tax Delft University of Technology
Fernando De la Torre
Fernando De la Torre Carnegie Mellon University
Bart M. ter Haar Romeny
Bart M. ter Haar Romeny Eindhoven University of Technology
Ioannis A. Kakadiaris
Ioannis A. Kakadiaris University of Houston
Guy Cloutier
Guy Cloutier University of Montreal

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