Papers matching “interpretability evaluation” 145
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A Pose-Informed De-Noising Diffusion Model for Adult Naturalistic EEG Signals2023 bioRxiv (Cold Spring Harbor Laboratory) preprint Neuroscience EEG and Brain-Computer Interfaces Open access
Angshuk Dutta, Marcel Hirt, Lorena Santamaria, Stanimira Georgieva, Christian Gerloff, Boyang Li, +1 more
1citations -
Percolate: an exponential family JIVE model to design DNA-based predictors of drug response2022 bioRxiv (Cold Spring Harbor Laboratory) preprint Biochemistry, Genetics and Molecular Biology Gene expression and cancer classification Open access
Soufiane M. C. Mourragui, Marco Loog, Mirrelijn M. van Nee, Mark A. van de Wiel, Marcel J. T. Reinders, Lodewyk F.A. Wessels
1citations -
fluxTrAM: Integration of tracer-based metabolomics data into atomically resolved genome-scale metabolic networks for metabolic flux analysis2024 bioRxiv (Cold Spring Harbor Laboratory) preprint Biochemistry, Genetics and Molecular Biology Microbial Metabolic Engineering and Bioproduction Open access
Luojiao Huang, German Preciat, Jesús Alarcón-Gil, Edinson Lucumi Moreno, Agnieszka B. Wegrzyn, Ines Thiele, +4 more
1citations -
Explainable Comparison of Feature-Based and Deep Learning Models for TROPOMI Methane Plume Screening2026 arXiv (Cornell University) preprint Environmental Science Atmospheric and Environmental Gas Dynamics Open access
Solomiia Kurchaba, Joannes D. Maasakkers, Berend J. Schuit, Ilse Aben
1citations -
Thermal desorption of interstellar ices. A review on the controlling parameters and their implications fromsnowlines to chemical complexity2022 arXiv (Cornell University) preprint Physics and Astronomy Astrophysics and Star Formation Studies Open access
Marco Minissale, Yuri Aikawa, Edwin A. Bergin, M. Bertin, Wendy A. Brown, Stéphanie M. Cazaux, +12 more
0citations -
Utilizing protein structure graph embeddings to predict the pathogenicity of missense variants2024 bioRxiv (Cold Spring Harbor Laboratory) preprint Biochemistry, Genetics and Molecular Biology Genomics and Rare Diseases Open access
Martin Danner, Matthias Begemann, Miriam Elbracht, Ingo Kurth, Jeremias Krause
0citations