World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
42
Citations
8897
World Ranking
8286
National Ranking
137

Overview

Uzay Kaymak is affiliated with Eindhoven University of Technology in the Netherlands. Their research primarily focuses on Computer Science, with a specialization in the fields of Artificial Intelligence, Management Science and Operations Research, Industrial and Manufacturing Engineering, Management Information Systems, and Information Systems.

The scientist has contributed to various topics within these fields, including:

  • Topic Modeling
  • Business Process Modeling and Analysis
  • Advanced Bandit Algorithms Research
  • Fuzzy Logic and Control Systems
  • Consumer Market Behavior and Pricing
  • Machine Learning in Healthcare
  • Advanced Text Analysis Techniques

Uzay Kaymak's recent scholarly publications include:

  • Interpretable Clinical Prediction via Attention-based Neural Network, 2020, BMC Medical Informatics and Decision Making
  • Learning 2-Opt Heuristics for Routing Problems via Deep Reinforcement Learning, 2021, SN Computer Science
  • Simpful: A User-Friendly Python Library for Fuzzy Logic, 2020, International Journal of Computational Intelligence Systems
  • Attention and Long Short-Term Memory Network for Remaining Useful Lifetime Predictions of Turbofan Engine Degradation, 2023, International Journal of Prognostics and Health Management
  • Topic Modeling for Interpretable Text Classification From EHRs, 2022, Frontiers in Big Data

The scientist frequently collaborates with a number of coauthors, including:

  • Yingqian Zhang
  • Emil Rijcken
  • Kalliopi Zervanou
  • Jason Rhuggenaath
  • Alp Akçay

Uzay Kaymak has published multiple works in prominent venues, supporting ongoing research dissemination in their fields. The most frequent publication venues are:

  • arXiv (Cornell University)
  • BMC Medical Informatics and Decision Making
  • International Journal of Computational Intelligence Systems
  • 2021 IEEE Symposium Series on Computational Intelligence (SSCI)
  • IEEE Transactions on Artificial Intelligence

Best Publications

  • Similarity measures in fuzzy rule base simplification

    M. Setnes;R. Babuska;U. Kaymak;H.R. van Nauta Lemke

  • Improved covariance estimation for Gustafson-Kessel clustering

    R. Babuka;P.J. van der Veen;U. Kaymak

  • Exploiting emoticons in sentiment analysis

    Alexander Hogenboom;Daniella Bal;Flavius Frasincar;Malissa Bal

  • Genetic algorithms for supply-chain scheduling: A case study in the distribution of ready-mixed concrete

    David Naso;Michele Surico;Biagio Turchiano;Uzay Kaymak

  • Cohen's kappa coefficient as a performance measure for feature selection

    Susana M. Vieira;Uzay Kaymak;Joao M. C. Sousa

  • Remaining useful lifetime prediction via deep domain adaptation

    Paulo Roberto de Oliveira da Costa;Alp Akçay;Yingqian Zhang;Uzay Kaymak

  • Fuzzy decision making in modeling and control

    João M C Sousa;Uzay Kaymak

  • Compatible cluster merging for fuzzy modelling

    U. Kaymak;R. Babuska

  • Fuzzy clustering with volume prototypes and adaptive cluster merging

    U. Kaymak;M. Setnes

  • Genetic algorithms for optimization in predictive control

    C. Onnen;R. Babuška;U. Kaymak;J.M. Sousa

  • An overview of event extraction from text

    FP Hogenboom;F Flavius Frasincar;U Uzay Kaymak;de Fmg Jong

  • Polarity analysis of texts using discourse structure

    Bas Heerschop;Frank Goossen;Alexander Hogenboom;Flavius Frasincar

  • A Survey of event extraction methods from text for decision support systems

    Frederik Hogenboom;Flavius Frasincar;Uzay Kaymak;Franciska de Jong

  • Q-learning agents in a Cournot oligopoly model

    LR Waltman;U Uzay Kaymak

  • Modelling electrical conductivity of groundwater using an adaptive neuro-fuzzy inference system

    B. Tutmez;Z. Hatipoglu;U. Kaymak

  • Model predictive control using fuzzy decision functions

    J.M. da Costa Sousa;U. Kaymak

  • Visualizing the computational intelligence field [Application Notes]

    N.J. van Eck;L. Waltman;J. den Berg;U. Kaymak

  • Multi-lingual support for lexicon-based sentiment analysis guided by semantics

    Alexander Hogenboom;Bas Heerschop;Flavius Frasincar;Uzay Kaymak

  • News personalization using the CF-IDF semantic recommender

    Frank Goossen;Wouter IJntema;Flavius Frasincar;Frederik Hogenboom

  • Determining negation scope and strength in sentiment analysis

    Alexander Hogenboom;Paul van Iterson;Bas Heerschop;Flavius Frasincar

Frequent Co-Authors

Flavius Frasincar
Flavius Frasincar Erasmus University Rotterdam
João M. C. Sousa
João M. C. Sousa Instituto Superior Técnico
Ludo Waltman
Ludo Waltman Leiden University
Rommert Dekker
Rommert Dekker Erasmus University Rotterdam
Robert Babuska
Robert Babuska Delft University of Technology
Nees Jan van Eck
Nees Jan van Eck Leiden University
David Naso
David Naso Polytechnic University of Bari
Alok Gupta
Alok Gupta University of Minnesota
Johan A.J. Verreth
Johan A.J. Verreth Wageningen University & Research
Ronald R. Yager
Ronald R. Yager Iona University

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