World's Best Scientists 2026 revealed!

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Computer Science

D-Index
46
Citations
10570
World Ranking
6756
National Ranking
107

Overview

Marco Wiering was affiliated with the University of Groningen in the Netherlands. Their research focused primarily on computer science, with an emphasis on artificial intelligence and its application to diverse fields. The scientist contributed extensively to subfields such as computer vision and pattern recognition, control and systems engineering, plant science, and cardiology and cardiovascular medicine.

Their work covered a range of topics, notably:

  • Smart agriculture and AI
  • Machine learning and data classification
  • Traffic control and management
  • Machine learning and algorithms
  • Reinforcement learning in robotics
  • Digital imaging for blood diseases
  • Machine learning in healthcare

Marco Wiering authored several papers between 2020 and 2021 in various academic venues. Selected publications included:

  • "One-vs-One classification for deep neural networks," 2020, Pattern Recognition
  • "Identifying and characterizing high-risk clusters in a heterogeneous ICU population with deep embedded clustering," 2021, Scientific Reports
  • "CentroidNetV2: A hybrid deep neural network for small-object segmentation and counting," 2020, Neurocomputing
  • "Towards Real-World Deployment of Reinforcement Learning for Traffic Signal Control," 2021, 2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA)
  • "Deep Learning for Identification of Acute Illness and Facial Cues of Illness," 2021, Frontiers in Medicine

The scientist frequently collaborated with other researchers. The most common co-authors included Lambert Schomaker, Anne H. Epema, José Castela Forte, Galiya Yeshmagambetova, and Iwan C.C. van der Horst.

Marco Wiering published often in venues such as arXiv (Cornell University), Scientific Reports, Pattern Recognition, Neurocomputing, and the ICMLA conference.

Best Publications

  • Reinforcement Learning: State-of-the-Art

    Marco Wiering;Martijn van Otterlo

  • Reinforcement Learning and Markov Decision Processes

    Martijn van Otterlo;Marco A. Wiering

  • 2010 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS IJCNN 2010

    Marco Wiering;Thijs Kooi

  • Multi-Agent Reinforcement Leraning for Traffic Light Control

    Marco Wiering

  • Proceedings of the International Joint Conference on Neural Networks

    Hado van Hasselt;Marco Wiering

  • Reinforcement Learning in Continuous Action Spaces

    H. van Hasselt;M.A. Wiering

  • HQ-learning

    Marco Wiering;Jürgen Schmidhuber

  • A theoretical and empirical analysis of Expected Sarsa

    Harm van Seijen;Hado van Hasselt;Shimon Whiteson;Marco Wiering

  • Adaptive traffic signal control with actor-critic methods in a real-world traffic network with different traffic disruption events

    Mohammad Aslani;Mohammad Saadi Mesgari;Marco Wiering

  • Ensemble Algorithms in Reinforcement Learning

    M.A. Wiering;H. van Hasselt

  • Shifting Inductive Bias with Success-Story Algorithm, AdaptiveLevin Search, and Incremental Self-Improvement

    Jürgen Schmidhuber;Jieyu Zhao;Marco Wiering

  • IEEE Symposium Series on Computational Intelligence

    Mahir Karaaba;Olarik Surinta;Lambert Schomaker;Marco Wiering

  • Simulation and optimization of traffic in a city

    M. Wiering;J. Vreeken;J. van Veenen;A. Koopman

  • Proceedings of IEEE International Conference on Evolutionary Computation

    Francesco Puglierin;Madalina M. Drugan;Marco Wiering

  • A model based method for automatic facial expression recognition

    Hans van Kuilenburg;Marco Wiering;Marten den Uyl

  • Explorations in efficient reinforcement learning

    M.A. Wiering

  • Comparing exploration strategies for Q-learning in random stochastic mazes

    Arryon D. Tijsma;Madalina M. Drugan;Marco A. Wiering

  • Junction detection in handwritten documents and its application to writer identification

    Sheng He;Marco Wiering;Lambert Schomaker

  • Efficient model-based exploration

    Marco Wiering;Jürgen Schmidhuber

  • Fast Online Q(λ)

    Marco Wiering;Jürgen Schmidhuber

  • Artificial Intelligence: 29th Benelux Conference, BNAIC 2017, Groningen, The Netherlands, Revised Selected Paper

    Bart Verheij;Marco Wiering

  • 2011 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN)

    Amir Shantia;Eric Begue;Marco Wiering

Frequent Co-Authors

Lambert Schomaker
Lambert Schomaker University of Groningen
Jürgen Schmidhuber
Jürgen Schmidhuber King Abdullah University of Science and Technology
Hado van Hasselt
Hado van Hasselt University College London
Pierre Geurts
Pierre Geurts University of Liège
Remco C. Veltkamp
Remco C. Veltkamp Utrecht University
Mehdi Dastani
Mehdi Dastani Utrecht University
Shimon Whiteson
Shimon Whiteson University of Oxford
Frans A. J. Verstraten
Frans A. J. Verstraten University of Sydney
Ignace T. C. Hooge
Ignace T. C. Hooge Utrecht University
John Axelsson
John Axelsson Stockholm University

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