| Large-scale attribute selection using wrappers M Gutlein, E Frank, M Hall, A Karwath 2009 IEEE symposium on computational intelligence and data mining, 332-339, 2009 | 314 | 2009 |
| Evaluation and improvement of the National Early Warning Score (NEWS2) for COVID-19: a multi-hospital study E Carr, R Bendayan, D Bean, M Stammers, W Wang, H Zhang, T Searle, ... BMC medicine 19 (1), 1-16, 2021 | 148 | 2021 |
| Collaborative development of predictive toxicology applications B Hardy, N Douglas, C Helma, M Rautenberg, N Jeliazkova, V Jeliazkov, ... Journal of cheminformatics 2, 1-29, 2010 | 130 | 2010 |
| The utility of different representations of protein sequence for predicting functional class RD King, A Karwath, A Clare, L Dehaspe Bioinformatics 17 (5), 445-454, 2001 | 113 | 2001 |
| Inflammation and brain structure in schizophrenia and other neuropsychiatric disorders: a Mendelian randomization study JA Williams, S Burgess, J Suckling, PA Lalousis, F Batool, SL Griffiths, ... JAMA psychiatry 79 (5), 498-507, 2022 | 108 | 2022 |
| Accurate prediction of protein functional class from sequence in the Mycobacterium tuberculosis and Escherichia coli genomes using data mining RD King, A Karwath, A Clare, L Dehaspe Yeast 1 (4), 283-293, 2000 | 94 | 2000 |
| Redefining β-blocker response in heart failure patients with sinus rhythm and atrial fibrillation: a machine learning cluster analysis A Karwath, KV Bunting, SK Gill, O Tica, S Pendleton, F Aziz, AD Barsky, ... The Lancet 398 (10309), 1427-1435, 2021 | 65 | 2021 |
| Genome scale prediction of protein functional class from sequence using data mining RD King, A Karwath, A Clare, L Dephaspe Proceedings of the sixth ACM SIGKDD international conference on Knowledge …, 2000 | 59 | 2000 |
| Functional bioinformatics for Arabidopsis thaliana A Clare, A Karwath, H Ougham, RD King Bioinformatics 22 (9), 1130-1136, 2006 | 57 | 2006 |
| CheS-Mapper-chemical space mapping and visualization in 3D M Gütlein, A Karwath, S Kramer Journal of cheminformatics 4, 1-16, 2012 | 56 | 2012 |
| Pairwise learning to rank by neural networks revisited: Reconstruction, theoretical analysis and practical performance M Köppel, A Segner, M Wagener, L Pensel, A Karwath, S Kramer Machine Learning and Knowledge Discovery in Databases: European Conference …, 2020 | 53 | 2020 |
| A large‐scale empirical evaluation of cross‐validation and external test set validation in (Q) SAR M Gütlein, C Helma, A Karwath, S Kramer Molecular Informatics 32 (5‐6), 516-528, 2013 | 53 | 2013 |
| Activity-based estimation of human trajectories S Grzonka, A Karwath, F Dijoux, W Burgard IEEE Transactions on robotics 28 (1), 234-245, 2011 | 48 | 2011 |
| SMIREP: predicting chemical activity from SMILES A Karwath, L De Raedt Journal of chemical information and modeling 46 (6), 2432-2444, 2006 | 47 | 2006 |
| Mapping indoor environments based on human activity S Grzonka, F Dijoux, A Karwath, W Burgard 2010 IEEE International Conference on Robotics and Automation, 476-481, 2010 | 42 | 2010 |
| Homology induction: the use of machine learning to improve sequence similarity searches A Karwath, RD King BMC bioinformatics 3, 1-13, 2002 | 41 | 2002 |
| Ontology-based prediction of cancer driver genes RH Sara Althubaiti, Andreas Karwath, Ashraf Dallol, Adeeb Noor, Shadi Salem ... Scientific Reports 9 (1), 2019 | 28 | 2019 |
| Boosting relational sequence alignments A Karwath, K Kersting, N Landwehr 2008 Eighth IEEE International Conference on Data Mining, 857-862, 2008 | 28 | 2008 |
| A survey on clinical natural language processing in the United Kingdom from 2007 to 2022 H Wu, M Wang, J Wu, F Francis, YH Chang, A Shavick, H Dong, ... NPJ digital medicine 5 (1), 186, 2022 | 27 | 2022 |
| Desiderata for the development of next-generation electronic health record phenotype libraries M Chapman, S Mumtaz, LV Rasmussen, A Karwath, GV Gkoutos, C Gao, ... Gigascience 10 (9), giab059, 2021 | 27 | 2021 |
