Tim O. F. Conrad

26 papers B 1C 1Misc 1Journal 20Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Hybrid ABM-PDE Framework for Real-World Infectious Disease Simulations. CoRR Kristina Maier, Tim O. F. Conrad
2025	J	`jnl`	FELRec: efficient handling of item cold-start with dynamic representation learning in recommender systems. Int. J. Data Sci. Anal. Kuba Weimann, Tim O. F. Conrad
2025	J	`jnl`	Self-supervised pre-training with joint-embedding predictive architecture boosts ECG classification performance. Comput. Biol. Medicine Kuba Weimann, Tim O. F. Conrad
2024	J	`jnl`	Automated Medical Report Generation for ECG Data: Bridging Medical Text and Signal Processing with Deep Learning. CoRR Amnon Bleich, Antje Linnemann, Björn H. Diem, Tim O. F. Conrad
2024	J	`jnl`	Clustering Time-Snapshots of Temporal Networks: From Synthetic Data to Real-World Applications. CoRR Filip Blaskovic, Tim O. F. Conrad, Stefan Klus, Natasa Djurdjevac Conrad
2024	J	`jnl`	Combining LLMs and Knowledge Graphs to Reduce Hallucinations in Question Answering. CoRR Larissa Pusch, Tim O. F. Conrad
2024	J	`jnl`	Federated Learning With Deep Neural Networks: A Privacy-Preserving Approach to Enhanced ECG Classification. IEEE J. Biomed. Health Informatics Kuba Weimann, Tim O. F. Conrad
2024	J	`jnl`	Self-Supervised Pre-Training with Joint-Embedding Predictive Architecture Boosts ECG Classification Performance. CoRR Kuba Weimann, Tim O. F. Conrad
2024	J	`jnl`	Towards More Effective Table-to-Text Generation: Assessing In-Context Learning and Self-Evaluation with Open-Source Models. CoRR Sahar Iravani, Tim O. F. Conrad
2023	J	`jnl`	An Interpretable Deep Learning Approach for Biomarker Detection in LC-MS Proteomics Data. IEEE ACM Trans. Comput. Biol. Bioinform. Sahar Iravani, Tim O. F. Conrad
2023	J	`jnl`	Bravo MaRDI: A Wikibase Powered Knowledge Graph on Mathematics. CoRR Moritz Schubotz, Eloi Ferrer, Johannes Stegmüller, Daniel Mietchen, Olaf Teschke, Larissa Pusch, Tim O. F. Conrad
2023	J	`jnl`	Enhancing ECG Analysis of Implantable Cardiac Monitor Data: An Efficient Pipeline for Multi-Label Classification. CoRR Amnon Bleich, Antje Linnemann, Benjamin Jaidi, Björn H. Diem, Tim O. F. Conrad
2023	J	`jnl`	Enhancing Electrocardiogram (ECG) Analysis of Implantable Cardiac Monitor Data: An Efficient Pipeline for Multi-Label Classification. Mach. Learn. Knowl. Extr. Amnon Bleich, Antje Linnemann, Benjamin Jaidi, Björn H. Diem, Tim O. F. Conrad
2022	J	`jnl`	Forget Embedding Layers: Representation Learning for Cold-start in Recommender Systems. CoRR Kuba Weimann, Tim O. F. Conrad
2022	J	`jnl`	Understanding microbiome dynamics via interpretable graph representation learning. CoRR Kateryna Melnyk, Kuba Weimann, Tim O. F. Conrad
2020	J	`jnl`	GraphKKE: Graph Kernel Koopman Embedding for Human Microbiome Analysis. CoRR Kateryna Melnyk, Stefan Klus, Grégoire Montavon, Tim O. F. Conrad
2020	J	`jnl`	GraphKKE: graph Kernel Koopman embedding for human microbiome analysis. Appl. Netw. Sci. Kateryna Melnyk, Stefan Klus, Grégoire Montavon, Tim O. F. Conrad
2019	J	`jnl`	Convergent discretisation schemes for transition path theory for diffusion processes. CoRR Nada Cvetkovic, Tim O. F. Conrad, Han Cheng Lie
2019	C	`conf`	Deep Learning for Proteomics Data for Feature Selection and Classification. CD-MAKE Sahar Iravani, Tim O. F. Conrad
2019	J	`jnl`	Learning Chemical Reaction Networks from Trajectory Data. SIAM J. Appl. Dyn. Syst. Wei Zhang, Stefan Klus, Tim O. F. Conrad, Christof Schütte
2017	J	`jnl`	Sparse Proteomics Analysis - a compressed sensing-based approach for feature selection and classification of high-dimensional proteomics mass spectrometry data. BMC Bioinform. Tim O. F. Conrad, Martin Genzel, Nada Cvetkovic, Niklas Wulkow, Alexander B. Leichtle, Jan Vybíral, Gitta Kutyniok, Christof Schütte
2016	—	`conf`	Epithelial-Mesenchymal Transition Regulatory Network-Based Feature Selection in Lung Cancer Prognosis Prediction. IWBBIO Borong Shao, Tim O. F. Conrad
2015	—	`conf`	Better Interpretable Models for Proteomics Data Analysis Using Rule-Based Mining. BIRS-IMLKE Fahrnaz Jayrannejad, Tim O. F. Conrad
2015	Misc	`conf`	Minimum-overlap Clusterings and the Sparsity of Overcomplete Decompositions of Binary Matrices. ICCS Víctor Mireles, Tim O. F. Conrad
2013	B	`conf`	Finding Modules in Networks with Non-modular Regions. SEA Sharon Bruckner, Bastian Kayser, Tim O. F. Conrad
2006	—	`conf`	Beating the Noise: New Statistical Methods for Detecting Signals in MALDI-TOF Spectra Below Noise Level. CompLife Tim O. F. Conrad, Alexander B. Leichtle, Andre Hagehülsmann, Elmar Diederichs, Sven Baumann, Joachim Thiery, Christof Schütte