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ORCIDTim Conrad 0001
Person information
- affiliation: Zuse Institute, Berlin, Germany
- affiliation: Free University of Berlin, Germany
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2020 – today
- 2024
[i12]Steffen Fürst, Tim Conrad, Carlo Jaeger, Sarah Wolf:
Vahana.jl - A framework (not only) for large-scale agent-based models. CoRR abs/2406.14441 (2024)- [i11]Larissa Pusch, Tim O. F. Conrad:
Combining LLMs and Knowledge Graphs to Reduce Hallucinations in Question Answering. CoRR abs/2409.04181 (2024) - 2023
- [j8]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): 1539-1556 (2023) - [j7]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): 151-161 (2023) - [j6]Erhun Giray Tuncay, Riza Cenk Erdur, Tim Conrad:
Parallel Exchange of Randomized SubGraphs for Optimization of Network Alignment: PERSONA. IEEE ACM Trans. Comput. Biol. Bioinform. 20(3): 2064-2077 (2023) - [c8]Kuba Weimann, Tim Conrad:
Predicting Coma Recovery After Cardiac Arrest With Residual Neural Networks. CinC 2023: 1-4 - [c7]Moritz Schubotz, Eloi Ferrer, Johannes Stegmüller, Daniel Mietchen, Olaf Teschke, Larissa Pusch, Tim Conrad:
Bravo MaRDI: A Wikibase Knowledge Graph on Mathematics. Wikidata@ISWC 2023 - [i10]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 abs/2307.07423 (2023) - [i9]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 abs/2309.11484 (2023) - [i8]Tim Conrad, Eloi Ferrer, Daniel Mietchen, Larissa Pusch, Johannes Stegmüller, Moritz Schubotz:
Making Mathematical Research Data FAIR: A Technology Overview. CoRR abs/2309.11829 (2023) - [i7]Thomas Gaskin, Tim Conrad, Grigorios A. Pavliotis, Christof Schütte:
Neural parameter calibration and uncertainty quantification for epidemic forecasting. CoRR abs/2312.03147 (2023) - 2022
- [i6]Kateryna Melnyk, Kuba Weimann, Tim O. F. Conrad:
Understanding microbiome dynamics via interpretable graph representation learning. CoRR abs/2203.01830 (2022) - [i5]Kuba Weimann, Tim O. F. Conrad:
Forget Embedding Layers: Representation Learning for Cold-start in Recommender Systems. CoRR abs/2210.16928 (2022) - 2021
- [j5]Nada Cvetkovic, Tim Conrad, Han Cheng Lie:
A Convergent Discretization Method for Transition Path Theory for Diffusion Processes. Multiscale Model. Simul. 19(1): 242-266 (2021) - 2020
- [j4]Kateryna Melnyk, Stefan Klus, Grégoire Montavon, Tim O. F. Conrad:
GraphKKE: graph Kernel Koopman embedding for human microbiome analysis. Appl. Netw. Sci. 5(1): 96 (2020) - [j3]Mona Rams, Tim Conrad:
Dictionary learning for transcriptomics data reveals type-specific gene modules in a multi-class setting. it Inf. Technol. 62(3-4): 119-134 (2020) - [i4]Kateryna Melnyk, Stefan Klus, Grégoire Montavon, Tim O. F. Conrad:
GraphKKE: Graph Kernel Koopman Embedding for Human Microbiome Analysis. CoRR abs/2008.05903 (2020)
2010 – 2019
- 2019
- [j2]Wei Zhang, Stefan Klus, Tim O. F. Conrad, Christof Schütte:
Learning Chemical Reaction Networks from Trajectory Data. SIAM J. Appl. Dyn. Syst. 18(4): 2000-2046 (2019) - [c6]Sahar Iravani, Tim O. F. Conrad:
Deep Learning for Proteomics Data for Feature Selection and Classification. CD-MAKE 2019: 301-316 - [i3]Nada Cvetkovic, Tim O. F. Conrad, Han Cheng Lie:
Convergent discretisation schemes for transition path theory for diffusion processes. CoRR abs/1907.05799 (2019) - 2017
- [j1]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): 160:1-160:20 (2017) - [i2]Christian Knauth, Boran Adas, Daniel Whitfield, Xuesong Wang, Lydia Ickler, Tim Conrad, Oliver Serang:
Practically efficient methods for performing bit-reversed permutation in C++11 on the x86-64 architecture. CoRR abs/1708.01873 (2017) - 2016
- [c5]Borong Shao, Tim O. F. Conrad:
Epithelial-Mesenchymal Transition Regulatory Network-Based Feature Selection in Lung Cancer Prognosis Prediction. IWBBIO 2016: 135-146 - 2015
- [c4]Fahrnaz Jayrannejad, Tim O. F. Conrad:
Better Interpretable Models for Proteomics Data Analysis Using Rule-Based Mining. BIRS-IMLKE 2015: 67-88 - [c3]Víctor Mireles, Tim O. F. Conrad:
Minimum-overlap Clusterings and the Sparsity of Overcomplete Decompositions of Binary Matrices. ICCS 2015: 2967-2971 - 2013
- [c2]Sharon Bruckner, Bastian Kayser, Tim O. F. Conrad:
Finding Modules in Networks with Non-modular Regions. SEA 2013: 188-199
2000 – 2009
- 2008
- [b1]Tim Conrad:
New statistical algorithms for the analysis of mass spectrometry time-of- flight mass data with applications in clinical diagnostics (Neue statistische Algorithmen zur Analyse von Massenspektrometrie Time-Of- Flight Massendaten mit Anwendungen in der klinischen Diagnostik). FU Berlin, Germany, 2008 - 2006
- [c1]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: 119-128 - 2005
- [i1]Tim Conrad:
New statistical algorithms for clinical proteomics. Computational Proteomics 2005
Coauthor Index
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