World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
42
Citations
8642
World Ranking
8301
National Ranking
117

Overview

José Hernández-Orallo is affiliated with the Universitat Politècnica de València in Spain. Their research primarily spans the field of Computer Science, with a concentrated focus on Artificial Intelligence. Their academic contributions also extend into related subfields including Safety Research, Management Science and Operations Research, Computer Vision and Pattern Recognition, and Computational Theory and Mathematics.

Their work covers multiple research topics, emphasizing aspects such as Explainable Artificial Intelligence (XAI), Topic Modeling, Adversarial Robustness in Machine Learning, Ethics and Social Impacts of AI, Natural Language Processing Techniques, and Machine Learning and Algorithms.

José Hernández-Orallo has published extensively, with a significant number of papers appearing in notable venues. Frequent publication venues include:

  • arXiv (Cornell University)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • Machine Learning
  • Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence
  • Journal of Artificial Intelligence Research

Some of their recent papers are:

  • "Trends in AI inference energy consumption: Beyond the performance-vs-parameter laws of deep learning" (2023), published in Sustainable Computing Informatics and Systems
  • "Futures of artificial intelligence through technology readiness levels" (2020), published in Telematics and Informatics
  • "Larger and more instructable language models become less reliable" (2024), published in Nature
  • "Research community dynamics behind popular AI benchmarks" (2021), published in Nature Machine Intelligence
  • "Rethink reporting of evaluation results in AI" (2023), published in Science

Frequent co-authors collaborating with Hernández-Orallo include:

  • Fernando Martínez-Plumed
  • Cèsar Ferri
  • Lucy G. Cheke
  • Wout Schellaert
  • John Burden

Best Publications

  • An experimental comparison of performance measures for classification

    C. Ferri;J. Hernández-Orallo;R. Modroiu

  • Proceedings of the 28th International Conference on Machine Learning

    José Hernández-Orallo;Peter A Flach;Cesar Ferri

  • Learning Decision Trees Using the Area Under the ROC Curve

    César Ferri;Peter A. Flach;José Hernández-Orallo

  • CRISP-DM Twenty Years Later: From Data Mining Processes to Data Science Trajectories

    Fernando Martinez-Plumed;Lidia Contreras-Ochando;Cesar Ferri;Jose Hernandez-Orallo

  • A unified view of performance metrics: translating threshold choice into expected classification loss

    José Hernández-Orallo;Peter Flach;Cèsar Ferri

  • Volume under the ROC surface for multi-class problems

    César Ferri;José Hernández-Orallo;Miguel Angel Salido

  • Evaluation in artificial intelligence: from task-oriented to ability-oriented measurement

    José Hernández-Orallo

  • Measuring universal intelligence: Towards an anytime intelligence test

    José Hernández-Orallo;David L. Dowe

  • Inductive programming meets the real world

    Sumit Gulwani;José Hernández-Orallo;Emanuel Kitzelmann;Stephen H. Muggleton

  • Trends in AI inference energy consumption: Beyond the performance-vs-parameter laws of deep learning

    Unknown

  • ROC curves for regression

    José Hernández-Orallo

  • Quantification via Probability Estimators

    Antonio Bella;Cesar Ferri;Jose Hernandez-Orallo;Maria Jose Ramirez-Quintana

  • The Measure of All Minds: Evaluating Natural and Artificial Intelligence

    José Hernández-Orallo

  • Beyond the Turing Test

    Jose Hernandez-Orallo

  • Delegating classifiers

    César Ferri;Peter Flach;José Hernández-Orallo

  • Larger and more instructable language models become less reliable

    Unknown

  • Improving the AUC of probabilistic estimation trees

    César Ferri;Peter A. Flach;José Hernández-Orallo

  • Futures of artificial intelligence through technology readiness levels

    Fernando Martínez-Plumed;Emilia Gómez;José Hernández-Orallo

  • A Formal Definition of Intelligence Based on an Intensional Variant of Algorithmic Complexity

    Jose Hernandez-Orallo;Neus Minaya-Collado

  • Measuring the Occupational Impact of AI: Tasks, Cognitive Abilities and AI Benchmarks

    Songül Tolan;Annarosa Pesole;Fernando Martínez-Plumed;Enrique Fernández-Macías

  • A new AI evaluation cosmos: Ready to play the game?

    José Hernández-Orallo;Marco Baroni;Jordi Bieger;Nader Chmait

  • Item response theory in AI: Analysing machine learning classifiers at the instance level

    Fernando Martínez-Plumed;Ricardo B.C. Prudêncio;Adolfo Martínez-Usó;José Hernández-Orallo

  • Computer models solving intelligence test problems: progress and implications

    José Hernández-Orallo;Fernando Martínez-Plumed;Ute Schmid;Michael Siebers

Frequent Co-Authors

Peter A. Flach
Peter A. Flach University of Bristol
Emilia Gómez
Emilia Gómez Pompeu Fabra University
Pushmeet Kohli
Pushmeet Kohli DeepMind (United Kingdom)
Marek Sergot
Marek Sergot Imperial College London
Murray Shanahan
Murray Shanahan Imperial College London
Luc De Raedt
Luc De Raedt KU Leuven
Stephen Muggleton
Stephen Muggleton Imperial College London
Holger H. Hoos
Holger H. Hoos RWTH Aachen University
Onn Shehory
Onn Shehory Bar-Ilan University

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring computer science degree online programs gives students flexibility and the chance to fast-track their education. For many, affordability is a major concern. In this case, researching the cheapest online colleges can help reduce student debt while still providing a quality education.

If you’re concerned about your academic background, rest assured that there are will grad schools accept low gpa options available. Many reputable online institutions have flexible admission policies and offer the support you need to succeed.

Finally, earning an online computer science degree can open doors to diverse career opportunities. For those interested in other fields, check out what jobs can you get with an environmental science degree to see additional online study and career options in related disciplines.

Best Scientists Citing José Hernández-Orallo

Trending Scientists

Recently Published Articles