World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
45
Citations
12385
World Ranking
7043
National Ranking
337

Overview

Joachim Denzler is affiliated with Friedrich Schiller University Jena in Germany. Their research spans multiple areas within computer science and medicine, focusing prominently on artificial intelligence, computer vision, and neurological studies alongside ecological modeling.

The scientist has contributed extensively to topics such as:

  • Facial Nerve Paralysis Treatment and Research
  • Species Distribution and Climate Change
  • Machine Learning and Data Classification
  • Advanced Neural Network Applications
  • Domain Adaptation and Few-Shot Learning
  • Anomaly Detection Techniques and Applications
  • Remote Sensing in Agriculture

Denzler has published numerous papers, including recent notable works such as:

  • "Towards a multisensor station for automated biodiversity monitoring," 2022, Basic and Applied Ecology
  • "How Interpretable Machine Learning Can Benefit Process Understanding in the Geosciences," 2024, Earth's Future
  • "Enhanced stability of grassland soil temperature by plant diversity," 2023, Nature Geoscience
  • "Is It Worth It? Comparing Six Deep and Classical Methods for Unsupervised Anomaly Detection in Time Series," 2023, Applied Sciences
  • "Generative adversarial networks for biomedical time series forecasting and imputation," 2022, Journal of Biomedical Informatics

Frequent coauthors collaborating with Denzler include:

  • Tim Büchner
  • Maha Shadaydeh
  • Orlando Guntinas-Lichius
  • Paul Bodesheim
  • Björn Barz

The scientist's publication record shows frequent contributions to several venues, notably:

  • arXiv (Cornell University)
  • Laryngo-Rhino-Otologie
  • IEEE Access
  • Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications
  • Lecture Notes in Computer Science

Denzler's work reflects a strong interdisciplinary approach, embedding machine learning and artificial intelligence techniques within ecological and medical contexts. Their contributions address both theoretical and applied problems, covering medical conditions such as facial nerve paralysis and advancing methodologies for anomaly detection and species monitoring.

Their research outputs also encompass subfields including:

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Neurology
  • Ecology
  • Ecological Modeling

This comprehensive portfolio underlines a focus on integrating computational tools with domain-specific knowledge to enhance understanding and treatment strategies in medicine as well as environmental and ecological challenges.

Best Publications

  • Deep learning and process understanding for data-driven Earth system science

    Markus Reichstein;Gustau Camps-Valls;Bjorn Stevens;Martin Jung

  • Information theoretic sensor data selection for active object recognition and state estimation

    J. Denzler;C.M. Brown

  • Automatic Classification of Cancerous Tissue in Laserendomicroscopy Images of the Oral Cavity using Deep Learning.

    Marc Aubreville;Christian Knipfer;Christian Knipfer;Nicolai Oetter;Christian Jaremenko

  • Model based extraction of articulated objects in image sequences for gait analysis

    D. Meyer;J. Denzler;H. Niemann

  • Selecting Influential Examples: Active Learning with Expected Model Output Changes

    Alexander Freytag;Erik Rodner;Joachim Denzler

  • One-class classification with gaussian processes

    Michael Kemmler;Erik Rodner;Joachim Denzler

  • Fractal-Like Image Statistics in Visual Art: Similarity to Natural Scenes

    Christoph Redies;Jens Hasenstein;Joachim Denzler

  • Plenoptic Modeling and Rendering from Image Sequences Taken by Hand-Held Camera

    Benno Heigl;Reinhard Koch;Marc Pollefeys;Joachim Denzler

  • Her2 challenge contest: a detailed assessment of automated her2 scoring algorithms in whole slide images of breast cancer tissues

    Talha Qaiser;Abhik Mukherjee;Chaitanya Reddy Pb;Sai Dileep Munugoti

  • ImageNet pre-trained models with batch normalization.

    Marcel Simon;Erik Rodner;Joachim Denzler

  • One-class classification with Gaussian processes

    Michael Kemmler;Erik Rodner;Esther-Sabrina Wacker;Joachim Denzler

  • Deep Learning on Small Datasets without Pre-Training using Cosine Loss

    Bjorn Barz;Joachim Denzler

  • Nonparametric Part Transfer for Fine-Grained Recognition

    Christoph Göering;Erik Rodner;Alexander Freytag;Joachim Denzler

  • Kernel Null Space Methods for Novelty Detection

    Paul Bodesheim;Alexander Freytag;Erik Rodner;Michael Kemmler

  • Fine-Tuning Deep Neural Networks in Continuous Learning Scenarios

    Christoph Käding;Erik Rodner;Alexander Freytag;Joachim Denzler

  • Convolutional Patch Networks with Spatial Prior for Road Detection and Urban Scene Understanding

    Clemens-Alexander Brust;Sven Sickert;Marcel Simon;Erik Rodner

  • Active Learning for Deep Object Detection

    Clemens-Alexander Brust;Christoph Käding;Joachim Denzler

  • Chimpanzee Faces in the Wild: Log-Euclidean CNNs for Predicting Identities and Attributes of Primates

    Alexander Freytag;Erik Rodner;Marcel Simon;Alexander Loos

  • Do We Train on Test Data? Purging CIFAR of Near-Duplicates.

    Björn Barz;Joachim Denzler

  • Detecting Regions of Maximal Divergence for Spatio-Temporal Anomaly Detection

    Bjorn Barz;Erik Rodner;Yanira Guanche Garcia;Joachim Denzler

  • PHOG-derived aesthetic measures applied to color photographs of artworks, natural scenes and objects

    Christoph Redies;Seyed Ali Amirshahi;Michael Koch;Joachim Denzler

  • Artists portray human faces with the Fourier statistics of complex natural scenes

    Christoph Redies;Jan Hänisch;Marko Blickhan;Joachim Denzler

Frequent Co-Authors

Heinrich Niemann
Heinrich Niemann University of Erlangen-Nuremberg
Markus Reichstein
Markus Reichstein Max Planck Institute for Biogeochemistry
Miguel D. Mahecha
Miguel D. Mahecha Leipzig University
Christoph Redies
Christoph Redies Friedrich Schiller University Jena
Calvin R. Maurer
Calvin R. Maurer Stanford University
Joachim Hornegger
Joachim Hornegger University of Erlangen-Nuremberg
Elmar Nöth
Elmar Nöth University of Erlangen-Nuremberg
Veronika Eyring
Veronika Eyring University of Bremen
Nasir M. Rajpoot
Nasir M. Rajpoot University of Warwick
Otto W. Witte
Otto W. Witte Friedrich Schiller University Jena

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