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ORCIDJoachim Denzler
- > Home > Persons > Joachim Denzler
Publications
- 2025
[j40]Nathalie Demme, Maha Shadaydeh, Laura Schieder, Claus Doerfel, Stella Jähkel, Knut Holthoff, Hans Proquitté, Joachim Denzler, Jürgen Graf:
Towards unobtrusive sleep stage classification in preterm infants using machine learning. Biomed. Signal Process. Control. 108: 107904 (2025)- [j38]Dimitri Korsch
, Maha Shadaydeh, Joachim Denzler:
Simplified Concrete Dropout - Improving the Generation of Attribution Masks for Fine-grained Classification. Int. J. Comput. Vis. 133(8): 5857-5871 (2025) - [c245]Gideon Stein, Maha Shadaydeh, Jan Blunk, Niklas Penzel, Joachim Denzler:
CausalRivers - Scaling up benchmarking of causal discovery for real-world time-series. ICLR 2025 - [i87]Ihab Asaad, Maha Shadaydeh, Joachim Denzler:
Gradient Extrapolation for Debiased Representation Learning. CoRR abs/2503.13236 (2025) - [i86]Gideon Stein, Maha Shadaydeh, Jan Blunk, Niklas Penzel, Joachim Denzler:
CausalRivers - Scaling up benchmarking of causal discovery for real-world time-series. CoRR abs/2503.17452 (2025) - 2024
- [c237]Gideon Stein, Jonas Ziemer, Carolin Wicker, Jannik Jänichen, Gabriele Demisch, Daniel Klöpper, Katja Last, Joachim Denzler, Christiane Schmullius, Maha Shadaydeh, Clémence Dubois:
Data-Driven Prediction Of Large Infrastructure Movements Through Persistent Scatterer Time Series Modeling. IGARSS 2024: 8669-8673 - [i80]Wasim Ahmad, Maha Shadaydeh, Joachim Denzler:
Deep Learning-based Group Causal Inference in Multivariate Time-series. CoRR abs/2401.08386 (2024) - [i77]Gideon Stein, Maha Shadaydeh, Joachim Denzler:
Embracing the black box: Heading towards foundation models for causal discovery from time series data. CoRR abs/2402.09305 (2024) - 2023
- [c228]Dimitri Korsch, Maha Shadaydeh, Joachim Denzler:
Simplified Concrete Dropout - Improving the Generation of Attribution Masks for Fine-Grained Classification. DAGM 2023: 409-424 - [i66]Dimitri Korsch, Maha Shadaydeh, Joachim Denzler:
Simplified Concrete Dropout - Improving the Generation of Attribution Masks for Fine-grained Classification. CoRR abs/2307.14825 (2023) - 2022
- [c220]Sven Festag, Gideon Stein, Tim Büchner, Maha Shadaydeh, Joachim Denzler, Cord Spreckelsen:
Outcome Prediction and Murmur Detection in Sets of Phonocardiograms by a Deep Learning-Based Ensemble Approach. CinC 2022: 1-4 - [i62]Wasim Ahmad, Maha Shadaydeh, Joachim Denzler:
Causal Discovery using Model Invariance through Knockoff Interventions. CoRR abs/2207.04055 (2022) - [i61]Violeta Teodora Trifunov, Maha Shadaydeh, Joachim Denzler:
Sequential Causal Effect Variational Autoencoder: Time Series Causal Link Estimation under Hidden Confounding. CoRR abs/2209.11497 (2022) - 2021
- [j31]Maha Shadaydeh, Lea Müller, Dana Schneider, Martin Thümmel, Thomas Kessler, Joachim Denzler:
Analyzing the Direction of Emotional Influence in Nonverbal Dyadic Communication: A Facial-Expression Study. IEEE Access 9: 73780-73790 (2021) - [j30]Violeta Teodora Trifunov, Maha Shadaydeh, Jakob Runge, Markus Reichstein, Joachim Denzler:
A Data-Driven Approach to Partitioning Net Ecosystem Exchange Using a Deep State Space Model. IEEE Access 9: 107873-107883 (2021) - [c199]Violeta Teodora Trifunov, Maha Shadaydeh, Björn Barz, Joachim Denzler:
Anomaly Attribution of Multivariate Time Series using Counterfactual Reasoning. ICMLA 2021: 166-172 - [c198]Wasim Ahmad, Maha Shadaydeh, Joachim Denzler:
Causal Inference in Non-linear Time-series using Deep Networks and Knockoff Counterfactuals. ICMLA 2021: 449-454 - [i58]Oana-Iuliana Popescu, Maha Shadaydeh, Joachim Denzler:
Counterfactual Generation with Knockoffs. CoRR abs/2102.00951 (2021) - [i51]Violeta Teodora Trifunov, Maha Shadaydeh, Björn Barz, Joachim Denzler:
Anomaly Attribution of Multivariate Time Series using Counterfactual Reasoning. CoRR abs/2109.06562 (2021) - [i50]Wasim Ahmad, Maha Shadaydeh, Joachim Denzler:
Causal Inference in Non-linear Time-series using Deep Networks and Knockoff Counterfactuals. CoRR abs/2109.10817 (2021) - 2020
- [i37]Maha Shadaydeh, Lea Müller, Dana Schneider, Martin Thümmel, Thomas Kessler, Joachim Denzler:
Analysing the Direction of Emotional Influence in Nonverbal Dyadic Communication: A Facial-Expression Study. CoRR abs/2012.08780 (2020) - 2019
- [c182]Violeta Teodora Trifunov, Maha Shadaydeh, Jakob Runge, Veronika Eyring, Markus Reichstein, Joachim Denzler:
Nonlinear Causal Link Estimation Under Hidden Confounding with an Application to Time Series Anomaly Detection. GCPR 2019: 261-273 - [c180]Maha Shadaydeh, Joachim Denzler, Yanira Guanche Garcia, Miguel D. Mahecha:
Time-Frequency Causal Inference Uncovers Anomalous Events in Environmental Systems. GCPR 2019: 499-512 - [c178]Stefan Hoffmann, Clemens-Alexander Brust, Maha Shadaydeh, Joachim Denzler:
Registration of High Resolution Sar and Optical Satellite Imagery Using Fully Convolutional Networks. IGARSS 2019: 5152-5155 - [c174]Lea Müller, Maha Shadaydeh, Martin Thümmel, Thomas Kessler, Dana Schneider, Joachim Denzler:
Causal Inference in Nonverbal Dyadic Communication with Relevant Interval Selection and Granger Causality. VISIGRAPP (5: VISAPP) 2019: 490-497 - 2018
- [i24]Lea Müller, Maha Shadaydeh, Martin Thümmel, Thomas Kessler, Dana Schneider, Joachim Denzler:
Causal Inference in Nonverbal Dyadic Communication with Relevant Interval Selection and Granger Causality. CoRR abs/1810.12171 (2018)
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