Stefan Kramer

发表

Interpreting Bayesian Logic Programs

K. Kersting, L. D. Raedt, Stefan Kramer, 2000 .

Inducing classification and regression trees in first order logic

Stefan Kramer, G. Widmer, 2001 .

Frequent free tree discovery in graph data

Stefan Kramer, Ulrich Rückert, Stefan Kramer, 2004, SAC '04.

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

Stefan Kramer, Eibe Frank, Michael Geilke, 2018, Data Mining and Knowledge Discovery.

Fast Conditional Density Estimation for Quantitative Structure-Activity Relationships

Stefan Kramer, Eibe Frank, Fabian Buchwald, 2010, AAAI.

Hub-Centered Gene Network Reconstruction Using Automatic Relevance Determination

Hiroshi Tanaka, Stefan Kramer, Lars Kaderali, 2012, PloS one.

Classification and Correction of the Bright Band using an operational C-band Polarimetric Radar

Stefan Kramer, Will Hall, Miguel A. Rico-Ramirez, 2015 .

u EXPERIMENTS IN PREDICTING BIODEGRADABILITY

S. Džeroski, Stefan Kramer, B. Pfahringer, 2004 .

Additional File 2 — Use Case: Investigate Input Features for Carcinogenicity Models

Stefan Kramer, Andreas Karwath, Martin Gütlein, 2014 .

Feature Construction with Version Spaces for Biochemical Applications

Luc De Raedt, Stefan Kramer, L. D. Raedt, 2001, ICML.

Audit firm rotation, audit firm tenure and earnings conservatism

Stefan Kramer, K. Vasileiou, I. Sotiropoulos, 2011 .

Inverse Resolution

Pierre Flener, Eamonn J. Keogh, Ricardo Vilalta, 2010, Encyclopedia of Machine Learning and Data Mining.

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

Stefan Kramer, Timur Shtatland, Ralph Weissleder, 2009, BMC Bioinformatics.

A Study of Hierarchical and Flat Classification of Proteins

Arthur Zimek, Stefan Kramer, Eibe Frank, 2010, IEEE/ACM Transactions on Computational Biology & Bioinformatics.

Transformation-Based Regression

Gerhard Widmer, Stefan Kramer, Hannes Pirker, 2002, International Conference on Machine Learning.

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

Stefan Kramer, Marcin Skowron, Zahra Ahmadi, 2017, EMSASW@ESWC.

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

Stefan Kramer, Lynda B. M. Ellis, Junfeng Gao, 2008, Bioinform..

Graph Clustering with Local Density-Cut

Stefan Kramer, Zhong Zhang, Junming Shao, 2018, DASFAA.

Graph Clustering with Density-Cut pdf

Stefan Kramer, Junming Shao, Qinli Yang, 2016, ArXiv.

Combining structure search and content search for the World-Wide Web

Hermann Kaindl, Stefan Kramer, Luis Miguel Afonso, 1998, HYPERTEXT '98.

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

Stefan Kramer, Martin Gütlein, Stefan Kramer, 2016, Journal of Cheminformatics.

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

Stefan Kramer, Fabian Birzele, Stefan Kramer, 2006, Bioinform..

EXPERIMENTS IN PREDICTING BIODEGRADABILITY

Saso Dzeroski, Wim Van Laer, Hendrik Blockeel, 1999, ILP.

Pitfalls of supervised feature selection

Dmitrij Frishman, Stefan Kramer, Pawel Smialowski, 2009, Bioinform..

Margin-based first-order rule learning

Stefan Kramer, Ulrich Rückert, Stefan Kramer, 2007, Machine Learning.

Fair Group-Shared Representations with Normalizing Flows pdf

Stefan Kramer, Mattia Cerrato, Alexander Segner, 2022, ArXiv.

Collaborative development of predictive toxicology applications

Pantelis Sopasakis, Surajit Ray, Haralambos Sarimveis, 2010, J. Cheminformatics.

enviPath – The environmental contaminant biotransformation pathway resource

Emanuel Schmid, Stefan Kramer, Martin Gütlein, 2015, Nucleic Acids Res..

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

Stefan Kramer, Lynda B. M. Ellis, Lawrence P. Wackett, 2010, Bioinform..

Gaussian Mixture Models and Model Selection for [18F] Fluorodeoxyglucose Positron Emission Tomography Classification in Alzheimer’s Disease

Stefan Kramer, Igor Yakushev, Stefan Förster, 2015, PloS one.

Statistical Evaluation of the Predictive Toxicology Challenge 2000-2001

Ashwin Srinivasan, Hannu Toivonen, Stefan Kramer, 2003, Bioinform..

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

Stefan Kramer, Andreas Karwath, Martin Gütlein, 2014, Journal of Cheminformatics.

Quantitative association rules based on half-spaces: an optimization approach

Stefan Kramer, Ulrich Rückert, Lothar Richter, 2004, Fourth IEEE International Conference on Data Mining (ICDM'04).

Molecular feature mining in HIV data

Luc De Raedt, Stefan Kramer, Christoph Helma, 2001, KDD '01.

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

Luc De Raedt, Stefan Kramer, L. D. Raedt, 2001, IJCAI.

Large-scale graph mining using backbone refinement classes

Stefan Kramer, Andreas Maunz, Christoph Helma, 2009, KDD.

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

Luc De Raedt, Stefan Kramer, Christoph Helma, 2004, J. Chem. Inf. Model..

Cinema Data Mining: The Smell of Fear

Stefan Kramer, Jonathan Williams, Jörg Wicker, 2015, KDD.

The molecular feature miner MolFea

Luc De Raedt, Stefan Kramer, Christoph Helma, 2003 .

Pruning Incremental Linear Model Trees with Approximate Lookahead

Stefan Kramer, Bernhard Pfahringer, Andreas Hapfelmeier, 2014, IEEE Transactions on Knowledge and Data Engineering.

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

Thomas Gottron, Stefan Kramer, Christopher Koch, 2018, 2018 IEEE 5th International Conference on Data Science and Advanced Analytics (DSAA).

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

Steven Ganzert, Stefan Kramer, Josef Guttmann, 2010, Discovery Science.

A Study of Hierarchical and Flat Classification of Proteins

Arthur Zimek, Stefan Kramer, Eibe Frank, 2010, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

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

Hermann Kaindl, Stefan Kramer, Stefan Kramer, 2004, TSEM.

Prototype-based learning on concept-drifting data streams

Stefan Kramer, Junming Shao, Zahra Ahmadi, 2014, KDD.

Efficient mining for structurally diverse subgraph patterns in large molecular databases

Stefan Kramer, Andreas Maunz, Christoph Helma, 2011, Machine Learning.

Modeling recurrent distributions in streams using possible worlds

Stefan Kramer, Michael Geilke, Andreas Karwath, 2015, 2015 IEEE International Conference on Data Science and Advanced Analytics (DSAA).

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

Stefan Kramer, Zahra Ahmadi, Stefan Kramer, 2018, Knowledge and Information Systems.

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

Jana Schmidt, Stefan Kramer, Andreas Hapfelmeier, 2008, 2008 Eighth IEEE International Conference on Data Mining.

BMaD - A Boolean Matrix Decomposition Framework

Stefan Kramer, Jörg Wicker, Andrey Tyukin, 2014, ECML/PKDD.

Multi-label classification using boolean matrix decomposition

Stefan Kramer, Bernhard Pfahringer, Jörg Wicker, 2012, SAC '12.

Compression-Based Evaluation of Partial Determinations

Stefan Kramer, Bernhard Pfahringer, Stefan Kramer, 1995, KDD.

The Predictive Toxicology Challenge 2000-2001

Ashwin Srinivasan, Stefan Kramer, Ross D. King, 2001, Bioinform..

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

Stefan Kramer, Lothar Richter, Jörg Wicker, 2008, ECML/PKDD.

DySC: software for greedy clustering of 16S rRNA reads

Bertil Schmidt, Stefan Kramer, Zejun Zheng, 2012, Bioinform..

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

Stefan Kramer, Atif Raza, 2019, Knowledge and Information Systems.

Optimal String Mining Under Frequency Constraints

Volker Heun, Johannes Fischer, Stefan Kramer, 2006, PKDD.

Fast frequent string mining using suffix arrays

Volker Heun, Johannes Fischer, Stefan Kramer, 2005, Fifth IEEE International Conference on Data Mining (ICDM'05).

Structural Regression Trees

Stefan Kramer, Stefan Kramer, 1996, AAAI/IAAI, Vol. 1.

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

Stefan Kramer, Fabian Buchwald, Lothar Richter, 2011, J. Cheminformatics.

Generalized Version Space Trees

Stefan Kramer, Ulrich Rückert, Stefan Kramer, 2003, KDID.

Alternating model trees

Stefan Kramer, Michael Mayo, Eibe Frank, 2015, SAC.

Mining Class-Correlated Patterns for Sequence Labeling

Stefan Kramer, Thomas A. Hopf, Thomas Hopf, 2010, Discovery Science.

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

Stefan Kramer, Tobias Hamp, Fabian Birzele, 2011, Bioinform..

A Survey of the Predictive Toxicology Challenge 2000-2001

Stefan Kramer, Christoph Helma, Stefan Kramer, 2003, Bioinform..

Efficient redundancy reduced subgroup discovery via quadratic programming

Rui Li, Stefan Kramer, Alexander Drzezga, 2012, Journal of Intelligent Information Systems.

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

Rui Li, Jana Schmidt, Stefan Kramer, 2011, AIME.

Ensembles of Balanced Nested Dichotomies for Multi-class Problems

Stefan Kramer, Lin Dong, Eibe Frank, 2005, PKDD.

A structural cluster kernel for learning on graphs

Stefan Kramer, Madeleine Seeland, Andreas Karwath, 2012, KDD.

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

Rómer Rosales, Stefan Kramer, R. Bharat Rao, 2009, IDA.

Efficient Search for Strong Partial Determinations

Stefan Kramer, Bernhard Pfahringer, Stefan Kramer, 1996, KDD.

Maximum Common Subgraph based locally weighted regression

Stefan Kramer, Bernhard Pfahringer, Fabian Buchwald, 2012, SAC '12.

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

Bertil Schmidt, Stefan Kramer, André Müller, 2018, 2018 IEEE 24th International Conference on Parallel and Distributed Systems (ICPADS).

Demand-Driven Construction of Structural Features in ILP

Stefan Kramer, 2001, ILP.

Inductive databases for bio- and chemoinformatics

Luc De Raedt, Stefan Kramer, L. D. Raedt, 2003 .

A label compression method for online multi-label classification

Stefan Kramer, Zahra Ahmadi, Stefan Kramer, 2018, Pattern Recognit. Lett..

Online multi-label dependency topic models for text classification

Stefan Kramer, Sophie Burkhardt, Stefan Kramer, 2018, Machine Learning.

Analyzing microarray data using quantitative association rules

Stefan Kramer, Ulrich Rückert, Elisabeth Georgii, 2005, ECCB/JBI.

Online Induction of Probabilistic Real-Time Automata

Stefan Kramer, J. Schmidt, 2014, 2012 IEEE 12th International Conference on Data Mining.

Online Induction of Probabilistic Real-Time Automata

Jana Schmidt, Stefan Kramer, Stefan Kramer, 2012, Journal of Computer Science and Technology.

Human Engineering and Safety Aspects in Neonatal Care Units: Analysis and Appraisal

Stefan Kramer, E. Shahar, Yael Auerbach-Shpak, 2013 .

Integer Linear Programming Models for Constrained Clustering

Stefan Kramer, Marianne Mueller, Stefan Kramer, 2010, Discovery Science.

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

Stefan Kramer, Lothar Richter, Andreas Hapfelmeier, 2005, KDID.

Prediction of Ordinal Classes Using Regression Trees

Gerhard Widmer, Stefan Kramer, Bernhard Pfahringer, 2001, Fundam. Informaticae.

Fast Private Parameter Learning and Inference for Sum-Product Networks

Mohammad Sadeq Dousti, Nick Johannes Peter Rassau, Stefan Kramer, 2021, 2104.07353.

Online Density Estimation of Heterogeneous Data Streams in Higher Dimensions

Stefan Kramer, Michael Geilke, Andreas Karwath, 2016, ECML/PKDD.

An inductive database and query language in the relational model

Stefan Kramer, Lothar Richter, Jörg Wicker, 2008, EDBT '08.

SINDBAD and SiQL: Overview, Applications and Future Developments

Stefan Kramer, Lothar Richter, Jörg Wicker, 2010, Inductive Databases and Constraint-Based Data Mining.

Ensembles of nested dichotomies for multi-class problems

Stefan Kramer, Eibe Frank, Stefan Kramer, 2004, ICML.

Exploring Multiobjective Optimization for Multiview Clustering

Stefan Kramer, Sriparna Saha, Sayantan Mitra, 2018, ACM Trans. Knowl. Discov. Data.

Stefan Kramer, Tobias Girschick, Pedro R. Almeida, 2013, J. Chem. Inf. Model..

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

Stefan Kramer, Ulrich Rückert, Tobias Girschick, 2013, Comput. J..

Modeling and performance analysis of a hybrid driver model

Uwe Kiencke, R. Majjad, S. Kramer, 1998 .

Extending function point analysis to object-oriented requirements specifications

Hermann Kaindl, Stefan Kramer, Vahan Harput, 2005, 11th IEEE International Software Metrics Symposium (METRICS'05).

A case study of decomposing functional requirements using scenarios

Hermann Kaindl, Stefan Kramer, Robert Kacsich, 1998, Proceedings of IEEE International Symposium on Requirements Engineering: RE '98.

Optimizing Feature Sets for Structured Data

Stefan Kramer, Ulrich Rückert, Stefan Kramer, 2007, ECML.

Towards tight bounds for rule learning

Stefan Kramer, Ulrich Rückert, Stefan Kramer, 2004, ICML.

Structural Regression Trees

Stefan Kramer, Stefan KramerAustrian, 1996, AAAI/IAAI, Vol. 1.

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

Atif Raza, Stefan Kramer, Stefan Kramer, 2019, Knowledge and Information Systems.