Stefan Kramer

Proceedings of the Discovery Science - 27th International Conference, 2024

Science-Gym: A Simple Testbed for AI-Driven Scientific Discovery.

[BibT_eX]

[DOI]

Proceedings of the Discovery Science - 27th International Conference, 2024

Residuals for Equation Discovery.

[BibT_eX]

[DOI]

Proceedings of the Discovery Science Late Breaking Contributions 2024 (DS-LB 2024) co-located with 27th International Conference Discovery Science 2024 (DS 2024), 2024

Peer Learning: Learning Complex Policies in Groups from Scratch via Action Recommendations.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Automated Scientific Discovery: From Equation Discovery to Autonomous Discovery Systems.

[BibT_eX]

[DOI]

CoRR, 2023

Identifying Aircraft Motions and Patterns from Magnetometry Data Using a Knowledge-Based Multi-Fusion Approach.

[BibT_eX]

[DOI]

Julian Vexler

Proceedings of the 26th International Conference on Information Fusion, 2023

Classifying Aircraft Categories from Magnetometry Data Using a Hypotheses-Based Multi-Task Framework.

[BibT_eX]

[DOI]

Julian Vexler

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

Privacy-Preserving Learning of Random Forests Without Revealing the Trees.

[BibT_eX]

[DOI]

Proceedings of the Discovery Science - 26th International Conference, 2023

Invariant Representations with Stochastically Quantized Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Neural RELAGGS.

[BibT_eX]

[DOI]

Lukas Pensel

CoRR, 2022

Fair Interpretable Representation Learning with Correction Vectors.

[BibT_eX]

[DOI]

Mattia Cerrato

Alesia Vallenas Coronel

CoRR, 2022

Fair Interpretable Learning via Correction Vectors.

[BibT_eX]

[DOI]

CoRR, 2022

Fair Group-Shared Representations with Normalizing Flows.

[BibT_eX]

[DOI]

CoRR, 2022

Ranking Creative Language Characteristics in Small Data Scenarios.

[BibT_eX]

[DOI]

Proceedings of the 13th International Conference on Computational Creativity, 2022

2021

Rule Extraction From Binary Neural Networks With Convolutional Rules for Model Validation.

[BibT_eX]

[DOI]

Frontiers Artif. Intell., 2021

Fast Private Parameter Learning and Evaluation for Sum-Product Networks.

[BibT_eX]

[DOI]

Ernst Althaus

Mohammad Sadeq Dousti

CoRR, 2021

Pattern Sampling for Shapelet-based Time Series Classification.

[BibT_eX]

[DOI]

CoRR, 2021

Focusing Knowledge-based Graph Argument Mining via Topic Modeling.

[BibT_eX]

[DOI]

CoRR, 2021

Deep Neural Networks to Recover Unknown Physical Parameters from Oscillating Time Series.

[BibT_eX]

[DOI]

CoRR, 2021

Deep Unsupervised Identification of Selected SNPs between Adapted Populations on Pool-seq Data.

[BibT_eX]

[DOI]

Julia Siekiera

CoRR, 2021

Myths and Misconceptions about Machine Learning and How They Are Related to Software Engineering.

[BibT_eX]

Proceedings of the 23rd International Conference on Enterprise Information Systems, 2021

Topic-Guided Knowledge Graph Construction for Argument Mining.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE International Conference on Big Knowledge, 2021

2020

Accelerating pattern-based time series classification: a linear time and space string mining approach.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., 2020

Secure Sum Outperforms Homomorphic Encryption in (Current) Collaborative Deep Learning.

[BibT_eX]

[DOI]

Derian Boer

CoRR, 2020

Towards Probability-based Safety Verification of Systems with Components from Machine Learning.

[BibT_eX]

[DOI]

CoRR, 2020

Towards Identifying Drug Side Effects from Social Media Using Active Learning andCrowd Sourcing.

[BibT_eX]

[DOI]

Miguel A. Andrade-Navarro

Julia Siekiera

Josua Glodde

Proceedings of the Pacific Symposium on Biocomputing 2020, 2020

A Brief History of Learning Symbolic Higher-Level Representations from Data (And a Curious Look Forward).

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Fair pairwise learning to rank.

[BibT_eX]

[DOI]

Proceedings of the 7th IEEE International Conference on Data Science and Advanced Analytics, 2020

2019

A Survey of Multi-Label Topic Models.

[BibT_eX]

[DOI]

SIGKDD Explor., 2019

Multi-label classification using stacked hierarchical Dirichlet processes with reduced sampling complexity.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., 2019

Decoupling Sparsity and Smoothness in the Dirichlet Variational Autoencoder Topic Model.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2019

Forecast of Study Success in the STEM Disciplines Based Solely on Academic Records.

[BibT_eX]

[DOI]

Lukas Pensel

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

Pairwise Learning to Rank by Neural Networks Revisited: Reconstruction, Theoretical Analysis and Practical Performance.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

Modeling Multi-label Recurrence in Data Streams.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Big Knowledge, 2019

Integrating LSTMs with Online Density Estimation for the Probabilistic Forecast of Energy Consumption.

[BibT_eX]

[DOI]

Julian Vexler

Proceedings of the Discovery Science - 22nd International Conference, 2019

Exploring Multi-Objective Optimization for Multi-Label Classifier Ensembles.

[BibT_eX]

[DOI]

Sriparna Saha

Debanjan Sarkar

Proceedings of the IEEE Congress on Evolutionary Computation, 2019

2018

Exploring Multiobjective Optimization for Multiview Clustering.

[BibT_eX]

[DOI]

Sriparna Saha

Sayantan Mitra

ACM Trans. Knowl. Discov. Data, 2018

A label compression method for online multi-label classification.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2018

Online multi-label dependency topic models for text classification.

[BibT_eX]

[DOI]

Mach. Learn., 2018

Modeling recurring concepts in data streams: a graph-based framework.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., 2018

Online estimation of discrete, continuous, and conditional joint densities using classifier chains.

[BibT_eX]

[DOI]

Data Min. Knowl. Discov., 2018

Online Multi-Label Classification: A Label Compression Method.

[BibT_eX]

[DOI]

CoRR, 2018

An inductive learning perspective on automated generation of feature models from given product specifications.

[BibT_eX]

[DOI]

Ralph Hoch

Proceedings of the Proceeedings of the 22nd International Systems and Software Product Line Conference, 2018

Privacy Preserving Client/Vertical-Servers Classification.

[BibT_eX]

[DOI]

Derian Boer

Proceedings of the ECML PKDD 2018 Workshops, 2018

cuBool: Bit-Parallel Boolean Matrix Factorization on CUDA-Enabled Accelerators.

[BibT_eX]

[DOI]

Proceedings of the 24th IEEE International Conference on Parallel and Distributed Systems, 2018

Forest of Normalized Trees: Fast and Accurate Density Estimation of Streaming Data.

[BibT_eX]

[DOI]

Patrick Rehn

Proceedings of the 5th IEEE International Conference on Data Science and Advanced Analytics, 2018

Towards Bankruptcy Prediction: Deep Sentiment Mining to Detect Financial Distress from Business Management Reports.

[BibT_eX]

[DOI]

Proceedings of the 5th IEEE International Conference on Data Science and Advanced Analytics, 2018

Graph Clustering with Local Density-Cut.

[BibT_eX]

[DOI]

Proceedings of the Database Systems for Advanced Applications, 2018

2017

Inductive Database Approach to Graphmining.

[BibT_eX]

[DOI]

Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017

The best privacy defense is a good privacy offense: obfuscating a search engine user's profile.

[BibT_eX]

[DOI]

Data Min. Knowl. Discov., 2017

Ensembles of Randomized Time Series Shapelets Provide Improved Accuracy while Reducing Computational Costs.

[BibT_eX]

[DOI]

CoRR, 2017

Online Sparse Collapsed Hybrid Variational-Gibbs Algorithm for Hierarchical Dirichlet Process Topic Models.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

Privacy-Preserving Pattern Mining on Online Density Estimates.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Big Knowledge, 2017

To Parse or Not to Parse: An Experimental Comparison of RNTNs and CNNs for Sentiment Analysis.

[BibT_eX]

[DOI]

Proceedings of the 3rd International Workshop at ESWC on Emotions, 2017

An In-Depth Experimental Comparison of RNTNs and CNNs for Sentence Modeling.

[BibT_eX]

[DOI]

Proceedings of the Discovery Science - 20th International Conference, 2017

Convolutional Neural Networks for the Identification of Regions of Interest in PET Scans: A Study of Representation Learning for Diagnosing Alzheimer's Disease.

[BibT_eX]

[DOI]

Markus Hubrich

Proceedings of the Artificial Intelligence in Medicine, 2017

2016

A Hybrid Machine Learning and Knowledge Based Approach to Limit Combinatorial Explosion in Biodegradation Prediction.

[BibT_eX]

[DOI]

Kathrin Fenner

Proceedings of the Computational Sustainability, 2016

Scalable Clustering by Iterative Partitioning and Point Attractor Representation.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, 2016

enviPath - The environmental contaminant biotransformation pathway resource.

[BibT_eX]

[DOI]

Nucleic Acids Res., 2016

Filtered circular fingerprints improve either prediction or runtime performance while retaining interpretability.

[BibT_eX]

[DOI]

Martin Gütlein

J. Cheminformatics, 2016

Graph Clustering with Density-Cut.

[BibT_eX]

[DOI]

CoRR, 2016

Trading off accuracy for efficiency by randomized greedy warping.

[BibT_eX]

[DOI]

Proceedings of the 31st Annual ACM Symposium on Applied Computing, 2016

Online Density Estimation of Heterogeneous Data Streams in Higher Dimensions.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

A Nonlinear Label Compression and Transformation Method for Multi-label Classification Using Autoencoders.

[BibT_eX]

[DOI]

Andrey Tyukin

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016

2015

Efficient redundancy reduced subgroup discovery via quadratic programming.

[BibT_eX]

[DOI]

J. Intell. Inf. Syst., 2015

Alternating model trees.

[BibT_eX]

[DOI]

Michael Mayo

Proceedings of the 30th Annual ACM Symposium on Applied Computing, 2015

On the spectrum between binary relevance and classifier chains in multi-label classification.

[BibT_eX]

[DOI]

Proceedings of the 30th Annual ACM Symposium on Applied Computing, 2015

Scavenger - A Framework for Efficient Evaluation of Dynamic and Modular Algorithms.

[BibT_eX]

[DOI]

Andrey Tyukin

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

Cinema Data Mining: The Smell of Fear.

[BibT_eX]

[DOI]

Efstratios Bourtsoukidis

Thomas Klüpfel

Jonathan Williams

Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Modeling recurrent distributions in streams using possible worlds.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics, 2015

2014

Pruning Incremental Linear Model Trees with Approximate Lookahead.

[BibT_eX]

[DOI]

Andreas Hapfelmeier

IEEE Trans. Knowl. Data Eng., 2014

Online Induction of Probabilistic Real-Time Automata.

[BibT_eX]

[DOI]

J. Comput. Sci. Technol., 2014

CheS-Mapper 2.0 for visual validation of (Q)SAR models.

[BibT_eX]

[DOI]

Martin Gütlein

J. Cheminformatics, 2014

Extracting information from support vector machines for pattern-based classification.

[BibT_eX]

[DOI]

Proceedings of the Symposium on Applied Computing, 2014

Structural clustering of millions of molecular graphs.

[BibT_eX]

[DOI]

Proceedings of the Symposium on Applied Computing, 2014

BMaD - A Boolean Matrix Decomposition Framework.

[BibT_eX]

[DOI]

Andrey Tyukin

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

Prototype-based learning on concept-drifting data streams.

[BibT_eX]

[DOI]

Junming Shao

Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Constrained Latent Dirichlet Allocation for Subgroup Discovery with Topic Rules.

[BibT_eX]

[DOI]

Rui Li

Proceedings of the ECAI 2014 - 21st European Conference on Artificial Intelligence, 18-22 August 2014, Prague, Czech Republic, 2014

A probabilistic condensed representation of data for stream mining.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Data Science and Advanced Analytics, 2014

2013

Similarity Boosted Quantitative Structure-Activity Relationship - A Systematic Study of Enhancing Structural Descriptors by Molecular Similarity.

[BibT_eX]

[DOI]

J. Chem. Inf. Model., 2013

Improving structural similarity based virtual screening using background knowledge.

[BibT_eX]

[DOI]

Tobias Girschick

Lucia Puchbauer

J. Cheminformatics, 2013

Learning probabilistic real-time automata from multi-attribute event logs.

[BibT_eX]

[DOI]

Intell. Data Anal., 2013

Adapted Transfer of Distance Measures for Quantitative Structure-Activity Relationships and Data-Driven Selection of Source Datasets.

[BibT_eX]

[DOI]

Tobias Girschick

Comput. J., 2013

Model selection based product kernel learning for regression on graphs.

[BibT_eX]

[DOI]

Proceedings of the 28th Annual ACM Symposium on Applied Computing, 2013

Incremental linear model trees on massive datasets: keep it simple, keep it fast.

[BibT_eX]

[DOI]

Andreas Hapfelmeier

Proceedings of the 28th Annual ACM Symposium on Applied Computing, 2013

Online Estimation of Discrete Densities.

[BibT_eX]

[DOI]

Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

2012

CheS-Mapper - Chemical Space Mapping and Visualization in 3D.

[BibT_eX]

[DOI]

Martin Gütlein

J. Cheminformatics, 2012

DySC: software for greedy clustering of 16S rRNA reads.

[BibT_eX]

[DOI]

Zejun Zheng

Bertil Schmidt

Bioinform., 2012

Scalable Induction of Probabilistic Real-Time Automata Using Maximum Frequent Pattern Based Clustering.

[BibT_eX]

[DOI]

Sonja Ansorge

Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012

Multi-label classification using boolean matrix decomposition.

[BibT_eX]

[DOI]

Proceedings of the ACM Symposium on Applied Computing, 2012

Maximum Common Subgraph based locally weighted regression.

[BibT_eX]

[DOI]

Proceedings of the ACM Symposium on Applied Computing, 2012

A structural cluster kernel for learning on graphs.

[BibT_eX]

[DOI]

Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Efficient Redundancy Reduced Subgroup Discovery via Quadratic Programming.

[BibT_eX]

[DOI]

Rui Li

Proceedings of the Discovery Science - 15th International Conference, 2012

2011

Efficient mining for structurally diverse subgraph patterns in large molecular databases.

[BibT_eX]

[DOI]

Andreas Maunz

Mach. Learn., 2011

Predicting a small molecule-kinase interaction map: A machine learning approach.

[BibT_eX]

[DOI]

Fabian Buchwald

J. Cheminformatics, 2011

Improving structure alignment-based prediction of SCOP families using Vorolign Kernels.

[BibT_eX]

[DOI]

Bioinform., 2011

Parallel Structural Graph Clustering.

[BibT_eX]

[DOI]

Simon A. Berger

Alexandros Stamatakis

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

Clustering with Attribute-Level Constraints.

[BibT_eX]

[DOI]

Elisabeth Maria Brändle

Proceedings of the 11th IEEE International Conference on Data Mining, 2011

The Augmented Itemset Tree: A Data Structure for Online Maximum Frequent Pattern Mining.

[BibT_eX]

[DOI]

Proceedings of the Discovery Science - 14th International Conference, 2011

A Case Study of Stacked Multi-view Learning in Dementia Research.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence in Medicine, 2011

2010

Inductive Database Approach to Graphmining.

[BibT_eX]

[DOI]

Proceedings of the Encyclopedia of Machine Learning, 2010

A Study of Hierarchical and Flat Classification of Proteins.

[BibT_eX]

[DOI]

IEEE ACM Trans. Comput. Biol. Bioinform., 2010

Interpreting PET scans by structured patient data: a data mining case study in dementia research.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., 2010

Collaborative development of predictive toxicology applications.

[BibT_eX]

[DOI]

J. Cheminformatics, 2010

Predicting biodegradation products and pathways: a hybrid knowledge- and machine learning-based approach.

[BibT_eX]

[DOI]

Bioinform., 2010

Pitfalls of supervised feature selection.

[BibT_eX]

[DOI]

Pawel Smialowski

Dmitrij Frishman

Bioinform., 2010

Online Structural Graph Clustering Using Frequent Subgraph Mining.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

Latent Structure Pattern Mining.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

Learning Real-Time Automata from Multi-Attribute Event Logs.

[BibT_eX]

[DOI]

Proceedings of the 1st Workshop on Dynamic Networks and Knowledge Discovery, 2010

A Numerical Refinement Operator Based on Multi-Instance Learning.

[BibT_eX]

[DOI]

Proceedings of the Inductive Logic Programming - 20th International Conference, 2010

Adapted Transfer of Distance Measures for Quantitative Structure-Activity Relationships.

[BibT_eX]

[DOI]

Proceedings of the Discovery Science - 13th International Conference, 2010

Integer Linear Programming Models for Constrained Clustering.

[BibT_eX]

[DOI]

Marianne Mueller

Proceedings of the Discovery Science - 13th International Conference, 2010

Mining Class-Correlated Patterns for Sequence Labeling.

[BibT_eX]

[DOI]

Thomas Hopf

Proceedings of the Discovery Science - 13th International Conference, 2010

Equation Discovery for Model Identification in Respiratory Mechanics of the Mechanically Ventilated Human Lung.

[BibT_eX]

[DOI]

Proceedings of the Discovery Science - 13th International Conference, 2010

Fast Conditional Density Estimation for Quantitative Structure-Activity Relationships.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

SINDBAD and SiQL: Overview, Applications and Future Developments.

[BibT_eX]

[DOI]

Proceedings of the Inductive Databases and Constraint-Based Data Mining., 2010

2009

Enhancing navigation in biomedical databases by community voting and database-driven text classification.

[BibT_eX]

[DOI]

BMC Bioinform., 2009

Large-scale graph mining using backbone refinement classes.

[BibT_eX]

[DOI]

Andreas Maunz

Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

Finding Relational Associations in HIV Resistance Mutation Data.

[BibT_eX]

[DOI]

Regina Augustin

Proceedings of the Inductive Logic Programming, 19th International Conference, 2009

Subgroup Discovery for Test Selection: A Novel Approach and Its Application to Breast Cancer Diagnosis.

[BibT_eX]

[DOI]

Proceedings of the Advances in Intelligent Data Analysis VIII, 2009

Data-Efficient Information-Theoretic Test Selection.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence in Medicine, 2009

Prediction of Mechanical Lung Parameters Using Gaussian Process Models.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence in Medicine, 2009

2008

Margin-based first-order rule learning.

[BibT_eX]

[DOI]

Mach. Learn., 2008

Inductive logic programming for gene regulation prediction.

[BibT_eX]

[DOI]

Sebastian Fröhler

Mach. Learn., 2008

Data-driven extraction of relative reasoning rules to limit combinatorial explosion in biodegradation pathway prediction.

[BibT_eX]

[DOI]

Bioinform., 2008

SINDBAD and SiQL: An Inductive Database and Query Language in the Relational Model.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2008

Kernel-Based Inductive Transfer.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2008

An inductive database and query language in the relational model.

[BibT_eX]

[DOI]

Proceedings of the EDBT 2008, 2008

2007

Three Data Mining Techniques To Improve Lazy Structure-Activity Relationships for Noncongeneric Compounds.

[BibT_eX]

[DOI]

Selina Sommer

J. Chem. Inf. Model., 2007

Optimizing Feature Sets for Structured Data.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning: ECML 2007, 2007

2006

Introduction to the special issue on multi-relational data mining and statistical relational learning.

[BibT_eX]

[DOI]

Hendrik Blockeel

David D. Jensen

Mach. Learn., 2006

A new representation for protein secondary structure prediction based on frequent patterns.

[BibT_eX]

[DOI]

Fabian Birzele

Bioinform., 2006

Learning a Predictive Model for Growth Inhibition from the NCI DTP Human Tumor Cell Line Screening Data: Does Gene Expression Make a Difference?

[BibT_eX]

[DOI]

Proceedings of the Biocomputing 2006, 2006

Optimal String Mining Under Frequency Constraints.

[BibT_eX]

[DOI]

Johannes Fischer

Volker Heun

Proceedings of the Knowledge Discovery in Databases: PKDD 2006, 2006

A statistical approach to rule learning.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning, 2006

Leveraging Chemical Background Knowledge for the Prediction of Growth Inhibition.

[BibT_eX]

[DOI]

Stefan Hechtl

Proceedings of the Sixth IEEE International Symposium on BioInformatics and BioEngineering (BIBE 2006), 2006

2005

Ensembles of Balanced Nested Dichotomies for Multi-class Problems.

[BibT_eX]

[DOI]

Lin Dong

Proceedings of the Knowledge Discovery in Databases: PKDD 2005, 2005

Extending Function Point Analysis of Object-Oriented Requirements Specifications.

[BibT_eX]

[DOI]

Vahan Harput

Proceedings of the 11th IEEE International Symposium on Software Metrics (METRICS 2005), 2005

Inductive Databases in the Relational Model: The Data as the Bridge.

[BibT_eX]

[DOI]

Proceedings of the Knowledge Discovery in Inductive Databases, 4th International Workshop, 2005

Fast Frequent String Mining Using Suffix Arrays.

[BibT_eX]

[DOI]

Johannes Fischer

Volker Heun

Proceedings of the 5th IEEE International Conference on Data Mining (ICDM 2005), 2005

Analyzing microarray data using quantitative association rules.

[BibT_eX]

[DOI]

Proceedings of the ECCB/JBI'05 Proceedings, Fourth European Conference on Computational Biology/Sixth Meeting of the Spanish Bioinformatics Network (Jornadas de BioInformática), Palacio de Congresos, Madrid, Spain, September 28, 2005

2004

Coupling and cohesion metrics for knowledge-based systems using frames and rules.

[BibT_eX]

[DOI]

ACM Trans. Softw. Eng. Methodol., 2004

Data Mining and Machine Learning Techniques for the Identification of Mutagenicity Inducing Substructures and Structure Activity Relationships of Noncongeneric Compounds.

[BibT_eX]

[DOI]

J. Chem. Inf. Model., 2004

Experiments In Predicting Biodegradability.

[BibT_eX]

[DOI]

Appl. Artif. Intell., 2004

Frequent free tree discovery in graph data.

[BibT_eX]

[DOI]

Proceedings of the 2004 ACM Symposium on Applied Computing (SAC), 2004

Towards tight bounds for rule learning.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning, 2004

Ensembles of nested dichotomies for multi-class problems.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning, 2004

Quantitative Association Rules Based on Half-Spaces: An Optimization Approach.

[BibT_eX]

[DOI]

Proceedings of the 4th IEEE International Conference on Data Mining (ICDM 2004), 2004

Data Mining: The Next Generation.

[BibT_eX]

[DOI]

Proceedings of the Perspectives Workshop: Data Mining: The Next Generation, 11.07., 2004

2003

Statistical Evaluation of the Predictive Toxicology Challenge 2000-2001.

[BibT_eX]

[DOI]

Bioinform., 2003

A Survey of the Predictive Toxicology Challenge 2000-2001.

[BibT_eX]

[DOI]

Bioinform., 2003

Towards Discovering Structural Signatures of Protein Folds Based on Logical Hidden Markov Models.

[BibT_eX]

[DOI]

Proceedings of the 8th Pacific Symposium on Biocomputing, 2003

Generalized Version Space Trees.

[BibT_eX]

Proceedings of the Second International Workshop on Inductive Databases, 2003

Stochastic Local Search in k-Term DNF Learning.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning, 2003

Metamodel-Compliance Checking of Requirements in a Semiformal Representation.

[BibT_eX]

[DOI]

Proceedings of the 15th Conference on Advanced Information Systems Engineering (CAiSE '03), 2003

2002

Analysis of respiratory pressure-volume curves in intensive care medicine using inductive machine learning.

[BibT_eX]

[DOI]

Artif. Intell. Medicine, 2002

Transformation-Based Regression.

[BibT_eX]

Proceedings of the Machine Learning, 2002

Phase Transitions and Stochastic Local Search in k-Term DNF Learning.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning: ECML 2002, 2002

2001

Prediction of Ordinal Classes Using Regression Trees.

[BibT_eX]

[DOI]

Fundam. Informaticae, 2001

The Predictive Toxicology Challenge 2000-2001.

[BibT_eX]

[DOI]

Bioinform., 2001

Molecular feature mining in HIV data.

[BibT_eX]

[DOI]

Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining, 2001

Demand-Driven Construction of Structural Features in ILP.

[BibT_eX]

[DOI]

Proceedings of the Inductive Logic Programming, 11th International Conference, 2001

The Levelwise Version Space Algorithm and its Application to Molecular Fragment Finding.

[BibT_eX]

Proceedings of the Seventeenth International Joint Conference on Artificial Intelligence, 2001

Feature Construction with Version Spaces for Biochemical Applications.

[BibT_eX]

Proceedings of the Eighteenth International Conference on Machine Learning (ICML 2001), Williams College, Williamstown, MA, USA, June 28, 2001

An Interactive Guide Through a Defined Modelling Process.

[BibT_eX]

[DOI]

Mario Hailing

Proceedings of the People and Computers XV, 2001

2000

Thesis: Relational learning vs. propositionalization.

[BibT_eX]

[DOI]

AI Commun., 2000

Bottom-Up Propositionalization.

[BibT_eX]

[DOI]

Proceedings of the Inductive Logic Programming, 10th International Conference, 2000

Learning to Use Operational Advice.

[BibT_eX]

Proceedings of the ECAI 2000, 2000

1999

Semiautomatic Generation of Glossary Links: A Practical Solution.

[BibT_eX]

[DOI]

Papa Samba Niang Diallo

Proceedings of the HYPERTEXT '99, 1999

1998

Stochastic Propositionalization of Non-determinate Background Knowledge.

[BibT_eX]

[DOI]

Proceedings of the Inductive Logic Programming, 8th International Workshop, 1998

A Case Study of Decomposing Functional Requirements Using Scenarios.

[BibT_eX]

[DOI]

Robert Kacsich

Proceedings of the 3rd International Conference on Requirements Engineering (ICRE '98), 1998

Combining Structure Search and Content Search for the World-Wide Web.

[BibT_eX]

[DOI]

Luis Miguel Afonso

Proceedings of the HYPERTEXT '98. Proceedings of the Ninth ACM Conference on Hypertext and Hypermedia: Links, Objects, Time and Space, 1998

1997

Mining for Causes of Cancer: Machine Learning Experiments at Various Levels of Detail.

[BibT_eX]

[DOI]

Proceedings of the Third International Conference on Knowledge Discovery and Data Mining (KDD-97), 1997

Can We Benefit from Metrics in KBS Development?

[BibT_eX]

Stefan Schlee

Proceedings of the Fifteenth International Joint Conference on Artificial Intelligence, 1997

1996

Efficient Search for Strong Partial Determinations.

[BibT_eX]

[DOI]

Proceedings of the Second International Conference on Knowledge Discovery and Data Mining (KDD-96), 1996

Structural Regression Trees.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth National Conference on Artificial Intelligence and Eighth Innovative Applications of Artificial Intelligence Conference, 1996

1995

Compression-Based Evaluation of Partial Determinations.

[BibT_eX]

[DOI]