Andreas Karwath

Orcid: 0000-0002-6942-3760

Affiliations:
  • University of Mainz, Germany


According to our database1, Andreas Karwath authored at least 42 papers between 2000 and 2024.

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Bibliography

2024
Development of Automated Neural Network Prediction for Echocardiographic Left ventricular Ejection Fraction.
CoRR, 2024

2023
Klarigi: Characteristic explanations for semantic biomedical data.
Comput. Biol. Medicine, February, 2023

2022
A survey on clinical natural language processing in the United Kingdom from 2007 to 2022.
npj Digit. Medicine, 2022

Evaluating semantic similarity methods for comparison of text-derived phenotype profiles.
BMC Medical Informatics Decis. Mak., 2022

2021
Ensemble learning for poor prognosis predictions: A case study on SARS-CoV-2.
J. Am. Medical Informatics Assoc., 2021

Effects of Negation and Uncertainty Stratification on Text-Derived Patient Profile Similarity.
Frontiers Digit. Health, 2021

Multi-faceted semantic clustering with text-derived phenotypes.
Comput. Biol. Medicine, 2021

Towards similarity-based differential diagnostics for common diseases.
Comput. Biol. Medicine, 2021

Development and application of the ocular immune-mediated inflammatory diseases ontology enhanced with synonyms from online patient support forum conversation.
Comput. Biol. Medicine, 2021

2019
Pairwise Learning to Rank by Neural Networks Revisited: Reconstruction, Theoretical Analysis and Practical Performance.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

2018
Online estimation of discrete, continuous, and conditional joint densities using classifier chains.
Data Min. Knowl. Discov., 2018

Vec2SPARQL: integrating SPARQL queries and knowledge graph embeddings.
Proceedings of the 11th International Conference Semantic Web Applications and Tools for Life Sciences, 2018

2017
Convolutional Neural Networks for the Identification of Regions of Interest in PET Scans: A Study of Representation Learning for Diagnosing Alzheimer's Disease.
Proceedings of the Artificial Intelligence in Medicine, 2017

2016
Online Density Estimation of Heterogeneous Data Streams in Higher Dimensions.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

2015
Modeling recurrent distributions in streams using possible worlds.
Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics, 2015

2014
CheS-Mapper 2.0 for visual validation of (Q)SAR models.
J. Cheminformatics, 2014

Extracting information from support vector machines for pattern-based classification.
Proceedings of the Symposium on Applied Computing, 2014

Structural clustering of millions of molecular graphs.
Proceedings of the Symposium on Applied Computing, 2014

A probabilistic condensed representation of data for stream mining.
Proceedings of the International Conference on Data Science and Advanced Analytics, 2014

2013
Online Estimation of Discrete Densities.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

2012
Activity-Based Estimation of Human Trajectories.
IEEE Trans. Robotics, 2012

CheS-Mapper - Chemical Space Mapping and Visualization in 3D.
J. Cheminformatics, 2012

A structural cluster kernel for learning on graphs.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

2010
Collaborative development of predictive toxicology applications.
J. Cheminformatics, 2010

Mapping indoor environments based on human activity.
Proceedings of the IEEE International Conference on Robotics and Automation, 2010

Learning Maps of Indoor Environments Based on Human Activity.
Proceedings of the Embedded Reasoning, 2010

2009
ILP, the Blind, and the Elephant: Euclidean Embedding of Co-proven Queries.
Proceedings of the Inductive Logic Programming, 19th International Conference, 2009

Large-scale attribute selection using wrappers.
Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2009

2008
Relational Sequence Learning.
Proceedings of the Probabilistic Inductive Logic Programming - Theory and Applications, 2008

Boosting Relational Sequence Alignments.
Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

2007
Logic and the Automatic Acquisition of Scientific Knowledge: An Application to Functional Genomics.
Proceedings of the Computational Discovery of Scientific Knowledge, 2007

2006
A Bottom-up approach to Grid-Computing at a University: the Black-Forest-Grid Initiative.
Prax. Inf.verarb. Kommun., 2006

SMIREP: Predicting Chemical Activity from SMILES.
J. Chem. Inf. Model., 2006

Functional bioinformatics for <i>Arabidopsis thaliana</i>.
Bioinform., 2006

Relational Sequence Alignments and Logos.
Proceedings of the Inductive Logic Programming, 16th International Conference, 2006

2005
CLASSIC'CL: An Integrated ILP System.
Proceedings of the Discovery Science, 8th International Conference, 2005

2004
Frequent SMILES.
Proceedings of the LWA 2004: Lernen - Wissensentdeckung - Adaptivität, Berlin, 4., 2004

Predictive Graph Mining.
Proceedings of the Discovery Science, 7th International Conference, 2004

2002
Homology Induction: the use of machine learning to improve sequence similarity searches.
BMC Bioinform., 2002

2001
The utility of different representations of protein sequence for predicting functional class.
Bioinform., 2001

An Automated ILP Server in the Field of Bioinformatics.
Proceedings of the Inductive Logic Programming, 11th International Conference, 2001

2000
Genome scale prediction of protein functional class from sequence using data mining.
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining, 2000


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