Genome scale prediction of protein functional class from sequence using data mining. - Ross D. King; Andreas Karwath; Amanda Clare; Luc Dehaspe (KDD, 2000)

An Automated ILP Server in the Field of Bioinformatics. - Andreas Karwath; Ross D. King (ILP, 2001)

The utility of different representations of protein sequence for predicting functional class. - Ross D. King; Andreas Karwath; Amanda Clare; Luc Dehaspe (Bioinform., 2001)

Homology Induction: the use of machine learning to improve sequence similarity searches. - Andreas Karwath; Ross D. King (BMC Bioinform., 2002)

Predictive Graph Mining. - Andreas Karwath; Luc De Raedt (Discovery Science, 2004)

Frequent SMILES. - Björn Bringmann; Andreas Karwath (LWA, 2004)

CLASSIC'CL: An Integrated ILP System. - Christian Stolle; Andreas Karwath; Luc De Raedt (Discovery Science, 2005)

Relational Sequence Alignments and Logos. - Andreas Karwath; Kristian Kersting (ILP, 2006)

Functional bioinformatics for Arabidopsis thaliana. - Amanda Clare; Andreas Karwath; Helen Ougham; Ross D. King (Bioinform., 2006)

SMIREP: Predicting Chemical Activity from SMILES. - Andreas Karwath; Luc De Raedt (J. Chem. Inf. Model., 2006)

A Bottom-up approach to Grid-Computing at a University: the Black-Forest-Grid Initiative. - Rolf Backofen; Hans-Gunther Borrmann; Werner Deck; Andreas Dedner; Luc De Raedt; Klaus Desch; Markus Diesmann; Martin Geier; Andreas Greiner; Wolfgang R. Hess; Josef Honerkamp; Stefan Jankowski; et al. (Prax. Inf.verarb. Kommun., 2006)

Logic and the Automatic Acquisition of Scientific Knowledge: An Application to Functional Genomics. - Ross D. King; Andreas Karwath; Amanda Clare; Luc Dehaspe (Computational Discovery of Scientific Knowledge, 2007)

Boosting Relational Sequence Alignments. - Andreas Karwath; Kristian Kersting; Niels Landwehr (ICDM, 2008)

Relational Sequence Learning. - Kristian Kersting; Luc De Raedt; Bernd Gutmann; Andreas Karwath; Niels Landwehr (Probabilistic Inductive Logic Programming, 2008)

Large-scale attribute selection using wrappers. - Martin Gütlein; Eibe Frank; Mark Hall 002; Andreas Karwath (CIDM, 2009)

ILP, the Blind, and the Elephant: Euclidean Embedding of Co-proven Queries. - Hannes Schulz; Kristian Kersting; Andreas Karwath (ILP, 2009)

Learning Maps of Indoor Environments Based on Human Activity. - Slawomir Grzonka; Frederic Dijoux; Andreas Karwath; Wolfram Burgard (AAAI Spring Symposium: Embedded Reasoning, 2010)

Mapping indoor environments based on human activity. - Slawomir Grzonka; Frederic Dijoux; Andreas Karwath; Wolfram Burgard (ICRA, 2010)

Collaborative development of predictive toxicology applications. - Barry J. Hardy; Nicki Douglas; Christoph Helma; Micha Rautenberg; Nina Jeliazkova; Vedrin Jeliazkov; Ivelina Nikolova; Romualdo Benigni; Olga Tcheremenskaia; Stefan Kramer 001; Tobias Girschick; Fabian Buchwald; et al. (J. Cheminformatics, 2010)

A structural cluster kernel for learning on graphs. - Madeleine Seeland; Andreas Karwath; Stefan Kramer 001 (KDD, 2012)

CheS-Mapper - Chemical Space Mapping and Visualization in 3D. - Martin Gütlein; Andreas Karwath; Stefan Kramer 001 (J. Cheminformatics, 2012)

Activity-Based Estimation of Human Trajectories. - Slawomir Grzonka; Andreas Karwath; Frederic Dijoux; Wolfram Burgard (IEEE Trans. Robotics, 2012)

Online Estimation of Discrete Densities. - Michael Geilke; Eibe Frank; Andreas Karwath; Stefan Kramer 001 (ICDM, 2013)

A probabilistic condensed representation of data for stream mining. - Michael Geilke; Andreas Karwath; Stefan Kramer 001 (DSAA, 2014)

Structural clustering of millions of molecular graphs. - Madeleine Seeland; Andreas Karwath; Stefan Kramer 001 (SAC, 2014)

Extracting information from support vector machines for pattern-based classification. - Madeleine Seeland; Andreas Maunz; Andreas Karwath; Stefan Kramer 001 (SAC, 2014)

CheS-Mapper 2.0 for visual validation of (Q)SAR models. - Martin Gütlein; Andreas Karwath; Stefan Kramer 001 (J. Cheminformatics, 2014)

Modeling recurrent distributions in streams using possible worlds. - Michael Geilke; Andreas Karwath; Stefan Kramer 001 (DSAA, 2015)

Online Density Estimation of Heterogeneous Data Streams in Higher Dimensions. - Michael Geilke; Andreas Karwath; Stefan Kramer 001 (ECML/PKDD (1), 2016)

Convolutional Neural Networks for the Identification of Regions of Interest in PET Scans: A Study of Representation Learning for Diagnosing Alzheimer's Disease. - Andreas Karwath; Markus Hubrich; Stefan Kramer 001 (AIME, 2017)

Vec2SPARQL: integrating SPARQL queries and knowledge graph embeddings. - Maxat Kulmanov; Senay Kafkas; Andreas Karwath; Alexander Malic; Georgios V. Gkoutos; Michel Dumontier; Robert Hoehndorf (SWAT4LS, 2018)

Online estimation of discrete, continuous, and conditional joint densities using classifier chains. - Michael Geilke; Andreas Karwath; Eibe Frank; Stefan Kramer 001 (Data Min. Knowl. Discov., 2018)

Development and application of the ocular immune-mediated inflammatory diseases ontology enhanced with synonyms from online patient support forum conversation. - Samantha C. Pendleton; Luke T. Slater; Andreas Karwath; Rose M. Gilbert; Nicola Davis; Konrad Pesudovs; Xiaoxuan Liu; Alastair K. Denniston; Georgios V. Gkoutos; Tasanee Braithwaite (Comput. Biol. Medicine, 2021)

Towards similarity-based differential diagnostics for common diseases. - Luke T. Slater; Andreas Karwath; John A. Williams 002; Sophie Russell; Silver Makepeace; Alexander Carberry; Robert Hoehndorf; Georgios V. Gkoutos (Comput. Biol. Medicine, 2021)

Multi-faceted semantic clustering with text-derived phenotypes. - Luke T. Slater; John A. Williams 002; Andreas Karwath; Hilary Fanning; Simon Ball; Paul N. Schofield; Robert Hoehndorf; Georgios V. Gkoutos (Comput. Biol. Medicine, 2021)

Effects of Negation and Uncertainty Stratification on Text-Derived Patient Profile Similarity. - Luke T. Slater; Andreas Karwath; Robert Hoehndorf; Georgios V. Gkoutos (Frontiers Digit. Health, 2021)

Ensemble learning for poor prognosis predictions: A case study on SARS-CoV-2. - Honghan Wu; Huayu Zhang; Andreas Karwath; Zina M. Ibrahim; Ting Shi; Xin Zhang; Kun Wang; Jiaxing Sun; Kevin Dhaliwal; Daniel Bean; Victor Roth Cardoso; Kezhi Li; et al. (J. Am. Medical Informatics Assoc., 2021)

Evaluating semantic similarity methods for comparison of text-derived phenotype profiles. - Luke T. Slater; Sophie Russell; Silver Makepeace; Alexander Carberry; Andreas Karwath; John A. Williams 002; Hilary Fanning; Simon Ball; Robert Hoehndorf; Georgios V. Gkoutos (BMC Medical Informatics Decis. Mak., 2022)

A survey on clinical natural language processing in the United Kingdom from 2007 to 2022. - Honghan Wu; Minhong Wang 002; Jinge Wu; Farah Francis; Yun-Hsuan Chang; Alex Shavick; Hang Dong 002; Michael Tin Chung Poon; Natalie K. Fitzpatrick; Adam P. Levine; Luke T. Slater; Alex Handy; et al. (npj Digit. Medicine, 2022)

Klarigi: Characteristic explanations for semantic biomedical data. - Luke T. Slater; John A. Williams 002; Paul N. Schofield; Sophie Russell; Samantha C. Pendleton; Andreas Karwath; Hilary Fanning; Simon Ball; Robert Hoehndorf; Georgios V. Gkoutos (Comput. Biol. Medicine, 2023)

Development of Automated Neural Network Prediction for Echocardiographic Left ventricular Ejection Fraction. - Yuting Zhang; Boyang Liu; Karina V. Bunting; David Brind; Alexander Thorley; Andreas Karwath; Wenqi Lu 001; Diwei Zhou; Xiaoxia Wang; Alastair R. Mobley; Otilia Tica; Georgios V. Gkoutos; et al. (CoRR, 2024)

Pairwise learning to rank by neural networks revisited: reconstruction, theoretical analysis and practical performance. - Marius Köppel; Alexander Segner; Martin Wagener; Lukas Pensel; Andreas Karwath; Stefan Kramer 001 (Mach. Learn., 2025)