Stefan Kramer
Orcid: 0000-0003-0136-2540Affiliations:
- Johannes Gutenberg University Mainz, Institute of Computer Science, Germany
According to our database1,
Stefan Kramer
authored at least 175 papers
between 1995 and 2024.
Collaborative distances:
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Bibliography
2024
CoRR, 2024
Peer Learning: Learning Complex Policies in Groups from Scratch via Action Recommendations.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Automated Scientific Discovery: From Equation Discovery to Autonomous Discovery Systems.
CoRR, 2023
Identifying Aircraft Motions and Patterns from Magnetometry Data Using a Knowledge-Based Multi-Fusion Approach.
Proceedings of the 26th International Conference on Information Fusion, 2023
Classifying Aircraft Categories from Magnetometry Data Using a Hypotheses-Based Multi-Task Framework.
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023
Proceedings of the Discovery Science - 26th International Conference, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
Proceedings of the 13th International Conference on Computational Creativity, Bozen-Bolzano, Italy, June 27, 2022
2021
Rule Extraction From Binary Neural Networks With Convolutional Rules for Model Validation.
Frontiers Artif. Intell., 2021
Deep Neural Networks to Recover Unknown Physical Parameters from Oscillating Time Series.
CoRR, 2021
Deep Unsupervised Identification of Selected SNPs between Adapted Populations on Pool-seq Data.
CoRR, 2021
Proceedings of the 2021 IEEE International Conference on Big Knowledge, 2021
Myths and Misconceptions about Machine Learning and How They Are Related to Software Engineering.
Proceedings of the 16th International Conference on Evaluation of Novel Approaches to Software Engineering, 2021
2020
Accelerating pattern-based time series classification: a linear time and space string mining approach.
Knowl. Inf. Syst., 2020
Secure Sum Outperforms Homomorphic Encryption in (Current) Collaborative Deep Learning.
CoRR, 2020
Towards Probability-based Safety Verification of Systems with Components from Machine Learning.
CoRR, 2020
Towards Identifying Drug Side Effects from Social Media Using Active Learning andCrowd Sourcing.
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).
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020
Proceedings of the 7th IEEE International Conference on Data Science and Advanced Analytics, 2020
2019
Multi-label classification using stacked hierarchical Dirichlet processes with reduced sampling complexity.
Knowl. Inf. Syst., 2019
Decoupling Sparsity and Smoothness in the Dirichlet Variational Autoencoder Topic Model.
J. Mach. Learn. Res., 2019
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.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019
Proceedings of the 2019 IEEE International Conference on Big Knowledge, 2019
Integrating LSTMs with Online Density Estimation for the Probabilistic Forecast of Energy Consumption.
Proceedings of the Discovery Science - 22nd International Conference, 2019
Proceedings of the IEEE Congress on Evolutionary Computation, 2019
2018
ACM Trans. Knowl. Discov. Data, 2018
Pattern Recognit. Lett., 2018
Mach. Learn., 2018
Knowl. Inf. Syst., 2018
Online estimation of discrete, continuous, and conditional joint densities using classifier chains.
Data Min. Knowl. Discov., 2018
An inductive learning perspective on automated generation of feature models from given product specifications.
Proceedings of the Proceeedings of the 22nd International Systems and Software Product Line Conference, 2018
Proceedings of the ECML PKDD 2018 Workshops, 2018
Proceedings of the 24th IEEE International Conference on Parallel and Distributed Systems, 2018
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.
Proceedings of the 5th IEEE International Conference on Data Science and Advanced Analytics, 2018
Proceedings of the Database Systems for Advanced Applications, 2018
2017
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.
Data Min. Knowl. Discov., 2017
Ensembles of Randomized Time Series Shapelets Provide Improved Accuracy while Reducing Computational Costs.
CoRR, 2017
Online Sparse Collapsed Hybrid Variational-Gibbs Algorithm for Hierarchical Dirichlet Process Topic Models.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017
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.
Proceedings of the 3rd International Workshop at ESWC on Emotions, 2017
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.
Proceedings of the Artificial Intelligence in Medicine, 2017
2016
A Hybrid Machine Learning and Knowledge Based Approach to Limit Combinatorial Explosion in Biodegradation Prediction.
Proceedings of the Computational Sustainability, 2016
ACM Trans. Knowl. Discov. Data, 2016
Nucleic Acids Res., 2016
Filtered circular fingerprints improve either prediction or runtime performance while retaining interpretability.
J. Cheminformatics, 2016
Proceedings of the 31st Annual ACM Symposium on Applied Computing, 2016
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016
A Nonlinear Label Compression and Transformation Method for Multi-label Classification Using Autoencoders.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016
2015
J. Intell. Inf. Syst., 2015
Proceedings of the 30th Annual ACM Symposium on Applied Computing, 2015
On the spectrum between binary relevance and classifier chains in multi-label classification.
Proceedings of the 30th Annual ACM Symposium on Applied Computing, 2015
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015
Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics, 2015
2014
IEEE Trans. Knowl. Data Eng., 2014
Extracting information from support vector machines for pattern-based classification.
Proceedings of the Symposium on Applied Computing, 2014
Proceedings of the Symposium on Applied Computing, 2014
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014
Proceedings of the ECAI 2014 - 21st European Conference on Artificial Intelligence, 18-22 August 2014, Prague, Czech Republic, 2014
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.
J. Chem. Inf. Model., 2013
J. Cheminformatics, 2013
Intell. Data Anal., 2013
Adapted Transfer of Distance Measures for Quantitative Structure-Activity Relationships and Data-Driven Selection of Source Datasets.
Comput. J., 2013
Proceedings of the 28th Annual ACM Symposium on Applied Computing, 2013
Proceedings of the 28th Annual ACM Symposium on Applied Computing, 2013
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013
2012
J. Cheminformatics, 2012
Scalable Induction of Probabilistic Real-Time Automata Using Maximum Frequent Pattern Based Clustering.
Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012
Proceedings of the ACM Symposium on Applied Computing, 2012
Proceedings of the ACM Symposium on Applied Computing, 2012
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012
Proceedings of the Discovery Science - 15th International Conference, 2012
2011
Efficient mining for structurally diverse subgraph patterns in large molecular databases.
Mach. Learn., 2011
J. Cheminformatics, 2011
Improving structure alignment-based prediction of SCOP families using Vorolign Kernels.
Bioinform., 2011
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011
Proceedings of the 11th IEEE International Conference on Data Mining, 2011
The Augmented Itemset Tree: A Data Structure for Online Maximum Frequent Pattern Mining.
Proceedings of the Discovery Science - 14th International Conference, 2011
Proceedings of the Artificial Intelligence in Medicine, 2011
2010
Proceedings of the Encyclopedia of Machine Learning, 2010
IEEE ACM Trans. Comput. Biol. Bioinform., 2010
Interpreting PET scans by structured patient data: a data mining case study in dementia research.
Knowl. Inf. Syst., 2010
J. Cheminformatics, 2010
Predicting biodegradation products and pathways: a hybrid knowledge- and machine learning-based approach.
Bioinform., 2010
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010
Proceedings of the 1st Workshop on Dynamic Networks and Knowledge Discovery, 2010
Proceedings of the Inductive Logic Programming - 20th International Conference, 2010
Adapted Transfer of Distance Measures for Quantitative Structure-Activity Relationships.
Proceedings of the Discovery Science - 13th International Conference, 2010
Proceedings of the Discovery Science - 13th International Conference, 2010
Proceedings of the Discovery Science - 13th International Conference, 2010
Equation Discovery for Model Identification in Respiratory Mechanics of the Mechanically Ventilated Human Lung.
Proceedings of the Discovery Science - 13th International Conference, 2010
Fast Conditional Density Estimation for Quantitative Structure-Activity Relationships.
Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010
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.
BMC Bioinform., 2009
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009
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.
Proceedings of the Advances in Intelligent Data Analysis VIII, 2009
Proceedings of the Artificial Intelligence in Medicine, 2009
Proceedings of the Artificial Intelligence in Medicine, 2009
2008
Data-driven extraction of relative reasoning rules to limit combinatorial explosion in biodegradation pathway prediction.
Bioinform., 2008
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2008
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2008
Proceedings of the EDBT 2008, 2008
2007
Three Data Mining Techniques To Improve Lazy Structure-Activity Relationships for Noncongeneric Compounds.
J. Chem. Inf. Model., 2007
Proceedings of the Machine Learning: ECML 2007, 2007
2006
Introduction to the special issue on multi-relational data mining and statistical relational learning.
Mach. Learn., 2006
A new representation for protein secondary structure prediction based on frequent patterns.
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?
Proceedings of the Biocomputing 2006, 2006
Proceedings of the Knowledge Discovery in Databases: PKDD 2006, 2006
Proceedings of the Sixth IEEE International Symposium on BioInformatics and BioEngineering (BIBE 2006), 2006
2005
Proceedings of the Knowledge Discovery in Databases: PKDD 2005, 2005
Proceedings of the 11th IEEE International Symposium on Software Metrics (METRICS 2005), 2005
Proceedings of the Knowledge Discovery in Inductive Databases, 4th International Workshop, 2005
Proceedings of the 5th IEEE International Conference on Data Mining (ICDM 2005), 2005
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
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.
J. Chem. Inf. Model., 2004
Proceedings of the 2004 ACM Symposium on Applied Computing (SAC), 2004
Proceedings of the Machine Learning, 2004
Proceedings of the 4th IEEE International Conference on Data Mining (ICDM 2004), 2004
Proceedings of the Perspectives Workshop: Data Mining: The Next Generation, 11.07., 2004
2003
Bioinform., 2003
Towards Discovering Structural Signatures of Protein Folds Based on Logical Hidden Markov Models.
Proceedings of the 8th Pacific Symposium on Biocomputing, 2003
Generalized Version Space Trees.
Proceedings of the Second International Workshop on Inductive Databases, 2003
Proceedings of the Machine Learning, 2003
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.
Artif. Intell. Medicine, 2002
Transformation-Based Regression.
Proceedings of the Machine Learning, 2002
Proceedings of the Machine Learning: ECML 2002, 2002
2001
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining, 2001
Proceedings of the Inductive Logic Programming, 11th International Conference, 2001
The Levelwise Version Space Algorithm and its Application to Molecular Fragment Finding.
Proceedings of the Seventeenth International Joint Conference on Artificial Intelligence, 2001
Feature Construction with Version Spaces for Biochemical Applications.
Proceedings of the Eighteenth International Conference on Machine Learning (ICML 2001), Williams College, Williamstown, MA, USA, June 28, 2001
Proceedings of the People and Computers XV, 2001
2000
Proceedings of the Inductive Logic Programming, 10th International Conference, 2000
Learning to Use Operational Advice.
Proceedings of the ECAI 2000, 2000
1999
Proceedings of the HYPERTEXT '99, 1999
1998
Proceedings of the Inductive Logic Programming, 8th International Workshop, 1998
Proceedings of the 3rd International Conference on Requirements Engineering (ICRE '98), 1998
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.
Proceedings of the Third International Conference on Knowledge Discovery and Data Mining (KDD-97), 1997
Can We Benefit from Metrics in KBS Development?
Proceedings of the Fifteenth International Joint Conference on Artificial Intelligence, 1997
1996
Proceedings of the Second International Conference on Knowledge Discovery and Data Mining (KDD-96), 1996
Proceedings of the Thirteenth National Conference on Artificial Intelligence and Eighth Innovative Applications of Artificial Intelligence Conference, 1996
1995
Proceedings of the First International Conference on Knowledge Discovery and Data Mining (KDD-95), 1995