Tim O. F. Conrad

Publication Activity (10 Years)

Years Active: 2006-2023
Publications (10 Years): 13

Top Topics

Mass Spectrometry

Binary Matrices

Diffusion Process

Top Venues

Publications

Amnon Bleich, Antje Linnemann, Benjamin Jaidi, Björn H. Diem, Tim O. F. Conrad
Enhancing Electrocardiogram (ECG) Analysis of Implantable Cardiac Monitor Data: An Efficient Pipeline for Multi-Label Classification. Mach. Learn. Knowl. Extr. 5 (4) (2023)
Moritz Schubotz, Eloi Ferrer, Johannes Stegmüller, Daniel Mietchen, Olaf Teschke, Larissa Pusch, Tim O. F. Conrad
Bravo MaRDI: A Wikibase Powered Knowledge Graph on Mathematics. CoRR (2023)
Amnon Bleich, Antje Linnemann, Benjamin Jaidi, Björn H. Diem, Tim O. F. Conrad
Enhancing ECG Analysis of Implantable Cardiac Monitor Data: An Efficient Pipeline for Multi-Label Classification. CoRR (2023)
Sahar Iravani, Tim O. F. Conrad
An Interpretable Deep Learning Approach for Biomarker Detection in LC-MS Proteomics Data. IEEE ACM Trans. Comput. Biol. Bioinform. 20 (1) (2023)
Kuba Weimann, Tim O. F. Conrad
Forget Embedding Layers: Representation Learning for Cold-start in Recommender Systems. CoRR (2022)
Kateryna Melnyk, Kuba Weimann, Tim O. F. Conrad
Understanding microbiome dynamics via interpretable graph representation learning. CoRR (2022)
Kateryna Melnyk, Stefan Klus, Grégoire Montavon, Tim O. F. Conrad
GraphKKE: Graph Kernel Koopman Embedding for Human Microbiome Analysis. CoRR (2020)
Kateryna Melnyk, Stefan Klus, Grégoire Montavon, Tim O. F. Conrad
GraphKKE: graph Kernel Koopman embedding for human microbiome analysis. Appl. Netw. Sci. 5 (1) (2020)
Nada Cvetkovic, Tim O. F. Conrad, Han Cheng Lie
Convergent discretisation schemes for transition path theory for diffusion processes. CoRR (2019)
Sahar Iravani, Tim O. F. Conrad
Deep Learning for Proteomics Data for Feature Selection and Classification. CD-MAKE (2019)
Wei Zhang, Stefan Klus, Tim O. F. Conrad, Christof Schütte
Learning Chemical Reaction Networks from Trajectory Data. SIAM J. Appl. Dyn. Syst. 18 (4) (2019)
Tim O. F. Conrad, Martin Genzel, Nada Cvetkovic, Niklas Wulkow, Alexander B. Leichtle, Jan Vybíral, Gitta Kutyniok, Christof Schütte
Sparse Proteomics Analysis - a compressed sensing-based approach for feature selection and classification of high-dimensional proteomics mass spectrometry data. BMC Bioinform. 18 (1) (2017)
Borong Shao, Tim O. F. Conrad
Epithelial-Mesenchymal Transition Regulatory Network-Based Feature Selection in Lung Cancer Prognosis Prediction. IWBBIO (2016)
Víctor Mireles, Tim O. F. Conrad
Minimum-overlap Clusterings and the Sparsity of Overcomplete Decompositions of Binary Matrices. ICCS (2015)
Fahrnaz Jayrannejad, Tim O. F. Conrad
Better Interpretable Models for Proteomics Data Analysis Using Rule-Based Mining. BIRS-IMLKE (2015)
Sharon Bruckner, Bastian Kayser, Tim O. F. Conrad
Finding Modules in Networks with Non-modular Regions. SEA (2013)
Tim O. F. Conrad, Alexander B. Leichtle, Andre Hagehülsmann, Elmar Diederichs, Sven Baumann, Joachim Thiery, Christof Schütte
Beating the Noise: New Statistical Methods for Detecting Signals in MALDI-TOF Spectra Below Noise Level. CompLife (2006)