Stefan Kramer - RankMe

227 papers A* 26A 4B 35C 4Misc 13Journal 91Unranked 46

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Feature-Weighted Maximum Representative Subsampling. CoRR Tony Hauptmann, Stefan Kramer
2026	J	`jnl`	Lift what you can: green online learning with heterogeneous ensembles. Data Min. Knowl. Discov. Kirsten Köbschall, Sebastian Buschjäger, Raphael Fischer, Lisa Hartung, Stefan Kramer
2026	J	`jnl`	Science-Gym: a simple testbed for AI-driven scientific discovery. Mach. Learn. Mattia Cerrato, Lennart Baur, Jannis Brugger, Sajjad Shumaly, Nicholas Schmitt, Edward Finkelstein, Selina Jukic, Lars Münzel, Felix Peter Paul, Pascal Pfannes, Benedikt Rohr, Julius Schellenberg, Philipp Wolf, Stefan Kramer
2026	A*	`conf`	The Tatort Test of Intelligence: Towards Narrative Comprehension as a Benchmark for AI. AAAI Stefan Kramer, Lennart Baur, Lars Reinhardt
2025	J	`jnl`	Adaptive differentiable trees for transparent learning on data streams. Mach. Learn. Kirsten Köbschall, Lisa Hartung, Stefan Kramer
2025	J	`jnl`	Counterfactual Explanations in Medical Imaging: Exploring SPN-Guided Latent Space Manipulation. CoRR Julia Siekiera, Stefan Kramer
2025	J	`jnl`	Deep Generative Models of Evolution: SNP-level Population Adaptation by Genomic Linkage Incorporation. CoRR Julia Siekiera, Christian Schlötterer, Stefan Kramer
2025	J	`jnl`	Enhancing Symbolic Machine Learning by Subsymbolic Representations. CoRR Stephen Roth, Lennart Baur, Derian Boer, Stefan Kramer
2025	B	`conf`	Exploring the Design Space of Fair Tree Learning Algorithms. DS Kiara Stempel, Mattia Cerrato, Stefan Kramer
2025	J	`jnl`	Exploring the Design Space of Fair Tree Learning Algorithms. CoRR Kiara Stempel, Mattia Cerrato, Stefan Kramer
2025	J	`jnl`	Focus, Merge, Rank: Improved Question Answering Based on Semi-structured Knowledge Bases. CoRR Derian Boer, Stephen Roth, Stefan Kramer
2025	J	`jnl`	Human Guided Learning of Transparent Regression Models. CoRR Lukas Pensel, Stefan Kramer
2025	B	`conf`	Integrating Inverse and Forward Modeling for Sparse Temporal Data from Sensor Networks. IDA Julian Vexler, Björn Vieten, Martin Nelke, Stefan Kramer
2025	J	`jnl`	Integrating Inverse and Forward Modeling for Sparse Temporal Data from Sensor Networks. CoRR Julian Vexler, Björn Vieten, Martin Nelke, Stefan Kramer
2025	J	`jnl`	Lift What You Can: Green Online Learning with Heterogeneous Ensembles. CoRR Kirsten Köbschall, Sebastian Buschjäger, Raphael Fischer, Lisa Hartung, Stefan Kramer
2025	J	`jnl`	N-Parties Private Structure and Parameter Learning for Sum-Product Networks. CoRR Xenia Heilmann, Ernst Althaus, Mattia Cerrato, Nick Johannes Peter Rassau, Mohammad Sadeq Dousti, Stefan Kramer
2025	J	`jnl`	Neural RELAGGS. Mach. Learn. Lukas Pensel, Stefan Kramer
2025	J	`jnl`	Neural-Guided Equation Discovery. CoRR Jannis Brugger, Mattia Cerrato, David Richter, Cedric Derstroff, Daniel Maninger, Mira Mezini, Stefan Kramer
2025	J	`jnl`	Pairwise learning to rank by neural networks revisited: reconstruction, theoretical analysis and practical performance. Mach. Learn. Marius Köppel, Alexander Segner, Martin Wagener, Lukas Pensel, Andreas Karwath, Stefan Kramer
2025	B	`conf`	Prompting Neural-Guided Equation Discovery Based on Residuals. DS Jannis Brugger, Viktor Pfanschilling, David Richter, Mira Mezini, Stefan Kramer
2025	J	`jnl`	Prompting Neural-Guided Equation Discovery Based on Residuals. CoRR Jannis Brugger, Viktor Pfanschilling, David Richter, Mira Mezini, Stefan Kramer
2025	—	`conf`	Stochastic Fairness Interventions Are Arbitrary. EWAF Mattia Cerrato, Marius Köppel, Kiara Stempel, Philipp Wolf, Stefan Kramer
2025	—	`conf`	cuTeBool: Fast and Scalable Boolean Matrix Factorization on GPUs Using Tensor Cores. ICCS (2) Andrea Beyer, Valentin Henkys, Robin Kobus, Stefan Kramer, Bertil Schmidt
2024	J	`jnl`	10 Years of Fair Representations: Challenges and Opportunities. CoRR Mattia Cerrato, Marius Köppel, Philipp Wolf, Stefan Kramer
2024	J	`jnl`	Amplifying Exploration in Monte-Carlo Tree Search by Focusing on the Unknown. CoRR Cedric Derstroff, Jannis Brugger, Jannis Blüml, Mira Mezini, Stefan Kramer, Kristian Kersting
2024	—	`conf`	FairTrader: A Method to Smoothly Control the Performance-Fairness Trade-Off. DS (LB) Kiara Stempel, Stefan Kramer
2024	J	`jnl`	Harnessing the Power of Semi-Structured Knowledge and LLMs with Triplet-Based Prefiltering for Question Answering. CoRR Derian Boer, Fabian Koch, Stefan Kramer
2024	—	`conf`	Harnessing the Power of Semi-structured Knowledge and LLMs with Triplet-Based Prefiltering for Question Answering. IJCLR Derian Boer, Fabian Koch, Stefan Kramer
2024	A*	`conf`	Peer Learning: Learning Complex Policies in Groups from Scratch via Action Recommendations. AAAI Cedric Derstroff, Mattia Cerrato, Jannis Brugger, Jan Peters, Stefan Kramer
2024	—	`conf`	Residuals for Equation Discovery. DS (LB) Jannis Brugger, Viktor Pfanschilling, Mira Mezini, Stefan Kramer
2024	—	`conf`	Science-Gym: A Simple Testbed for AI-Driven Scientific Discovery. DS (1) Mattia Cerrato, Nicholas Schmitt, Lennart Baur, Edward Finkelstein, Selina Jukic, Lars Münzel, Felix Peter Paul, Pascal Pfannes, Benedikt Rohr, Julius Schellenberg, Philipp Wolf, Stefan Kramer
2024	—	`conf`	Soft Hoeffding Tree: A Transparent and Differentiable Model on Data Streams. DS (1) Kirsten Köbschall, Lisa Hartung, Stefan Kramer
2024	J	`jnl`	Soft Hoeffding Tree: A Transparent and Differentiable Model on Data Streams. CoRR Kirsten Köbschall, Lisa Hartung, Stefan Kramer
2023	J	`jnl`	A fair experimental comparison of neural network architectures for latent representations of multi-omics for drug response prediction. BMC Bioinform. Tony Hauptmann, Stefan Kramer
2023	J	`jnl`	Automated Scientific Discovery: From Equation Discovery to Autonomous Discovery Systems. CoRR Stefan Kramer, Mattia Cerrato, Saso Dzeroski, Ross D. King
2023	A	`conf`	Classifying Aircraft Categories from Magnetometry Data Using a Hypotheses-Based Multi-Task Framework. ECAI Julian Vexler, Stefan Kramer
2023	C	`conf`	Identifying Aircraft Motions and Patterns from Magnetometry Data Using a Knowledge-Based Multi-Fusion Approach. FUSION Julian Vexler, Stefan Kramer
2023	A*	`conf`	Invariant Representations with Stochastically Quantized Neural Networks. AAAI Mattia Cerrato, Marius Köppel, Roberto Esposito, Stefan Kramer
2023	J	`jnl`	Peer Learning: Learning Complex Policies in Groups from Scratch via Action Recommendations. CoRR Cedric Derstroff, Mattia Cerrato, Jannis Brugger, Jan Peters, Stefan Kramer
2023	B	`conf`	Privacy-Preserving Learning of Random Forests Without Revealing the Trees. DS Lukas-Malte Bammert, Stefan Kramer, Mattia Cerrato, Ernst Althaus
2022	J	`jnl`	A Fair Experimental Comparison of Neural Network Architectures for Latent Representations of Multi-Omics for Drug Response Prediction. CoRR Tony Hauptmann, Stefan Kramer
2022	J	`jnl`	Fair Group-Shared Representations with Normalizing Flows. CoRR Mattia Cerrato, Marius Köppel, Alexander Segner, Stefan Kramer
2022	J	`jnl`	Fair Interpretable Learning via Correction Vectors. CoRR Mattia Cerrato, Marius Köppel, Alexander Segner, Stefan Kramer
2022	J	`jnl`	Fair Interpretable Representation Learning with Correction Vectors. CoRR Mattia Cerrato, Alesia Vallenas Coronel, Marius Köppel, Alexander Segner, Roberto Esposito, Stefan Kramer
2022	J	`jnl`	Invariant Representations with Stochastically Quantized Neural Networks. CoRR Mattia Cerrato, Marius Köppel, Roberto Esposito, Stefan Kramer
2022	J	`jnl`	Neural RELAGGS. CoRR Lukas Pensel, Stefan Kramer
2022	C	`conf`	Ranking Creative Language Characteristics in Small Data Scenarios. ICCC Julia Siekiera, Marius Köppel, Edwin Simpson, Kevin Stowe, Iryna Gurevych, Stefan Kramer
2021	J	`jnl`	Deep Neural Networks to Recover Unknown Physical Parameters from Oscillating Time Series. CoRR Antoine Garcon, Julian Vexler, Dmitry Budker, Stefan Kramer
2021	J	`jnl`	Deep Unsupervised Identification of Selected SNPs between Adapted Populations on Pool-seq Data. CoRR Julia Siekiera, Stefan Kramer
2021	J	`jnl`	Fast Private Parameter Learning and Evaluation for Sum-Product Networks. CoRR Ernst Althaus, Mohammad Sadeq Dousti, Stefan Kramer
2021	J	`jnl`	Focusing Knowledge-based Graph Argument Mining via Topic Modeling. CoRR Patrick Abels, Zahra Ahmadi, Sophie Burkhardt, Benjamin Schiller, Iryna Gurevych, Stefan Kramer
2021	—	`ed.`	Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2021, Bilbao, Spain, September 13-17, 2021, Proceedings, Part I ECML/PKDD (1) Nuria Oliver, Fernando Pérez-Cruz, Stefan Kramer, Jesse Read, José Antonio Lozano
2021	—	`ed.`	Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2021, Bilbao, Spain, September 13-17, 2021, Proceedings, Part II ECML/PKDD (2) Nuria Oliver, Fernando Pérez-Cruz, Stefan Kramer, Jesse Read, José Antonio Lozano
2021	—	`ed.`	Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2021, Bilbao, Spain, September 13-17, 2021, Proceedings, Part III ECML/PKDD (3) Nuria Oliver, Fernando Pérez-Cruz, Stefan Kramer, Jesse Read, José Antonio Lozano
2021	B	`conf`	Myths and Misconceptions about Machine Learning and How They Are Related to Software Engineering. ENASE Stefan Kramer
2021	—	`conf`	Myths and Misconceptions about Machine Learning and How They Are Related to Software Engineering. ICEIS (1) Stefan Kramer
2021	J	`jnl`	Pattern Sampling for Shapelet-based Time Series Classification. CoRR Atif Raza, Stefan Kramer
2021	J	`jnl`	Rule Extraction From Binary Neural Networks With Convolutional Rules for Model Validation. Frontiers Artif. Intell. Sophie Burkhardt, Jannis Brugger, Nicolas Wagner, Zahra Ahmadi, Kristian Kersting, Stefan Kramer
2021	—	`conf`	Topic-Guided Knowledge Graph Construction for Argument Mining. ICBK Weichen Li, Patrick Abels, Zahra Ahmadi, Sophie Burkhardt, Benjamin Schiller, Iryna Gurevych, Stefan Kramer
2020	A*	`conf`	A Brief History of Learning Symbolic Higher-Level Representations from Data (And a Curious Look Forward). IJCAI Stefan Kramer
2020	J	`jnl`	Accelerating pattern-based time series classification: a linear time and space string mining approach. Knowl. Inf. Syst. Atif Raza, Stefan Kramer
2020	B	`conf`	Fair pairwise learning to rank. DSAA Mattia Cerrato, Marius Köppel, Alexander Segner, Roberto Esposito, Stefan Kramer
2020	J	`jnl`	Ranking Creative Language Characteristics in Small Data Scenarios. CoRR Julia Siekiera, Marius Köppel, Edwin Simpson, Kevin Stowe, Iryna Gurevych, Stefan Kramer
2020	J	`jnl`	Rule Extraction from Binary Neural Networks with Convolutional Rules for Model Validation. CoRR Sophie Burkhardt, Jannis Brugger, Nicolas Wagner, Zahra Ahmadi, Kristian Kersting, Stefan Kramer
2020	J	`jnl`	Secure Sum Outperforms Homomorphic Encryption in (Current) Collaborative Deep Learning. CoRR Derian Boer, Stefan Kramer
2020	Misc	`conf`	Towards Identifying Drug Side Effects from Social Media Using Active Learning andCrowd Sourcing. PSB Sophie Burkhardt, Julia Siekiera, Josua Glodde, Miguel A. Andrade-Navarro, Stefan Kramer
2020	J	`jnl`	Towards Probability-based Safety Verification of Systems with Components from Machine Learning. CoRR Hermann Kaindl, Stefan Kramer
2019	J	`jnl`	A Survey of Multi-Label Topic Models. SIGKDD Explor. Sophie Burkhardt, Stefan Kramer
2019	J	`jnl`	Decoupling Sparsity and Smoothness in the Dirichlet Variational Autoencoder Topic Model. J. Mach. Learn. Res. Sophie Burkhardt, Stefan Kramer
2019	—	`ed.`	ECML PKDD 2018 Workshops - Nemesis 2018, UrbReas 2018, SoGood 2018, IWAISe 2018, and Green Data Mining 2018, Dublin, Ireland, September 10-14, 2018, Proceedings Nemesis/UrbReas/SoGood/IWAISe/GDM@PKDD/ECML Carlos Alzate, Anna Monreale, Haytham Assem, Albert Bifet, Teodora Sandra Buda, Bora Caglayan, Brett Drury, Eva García-Martín, Ricard Gavaldà, Stefan Kramer, Niklas Lavesson, Michael Madden, Ian M. Molloy, Maria-Irina Nicolae, Mathieu Sinn
2019	B	`conf`	Exploring Multi-Objective Optimization for Multi-Label Classifier Ensembles. CEC Sriparna Saha, Debanjan Sarkar, Stefan Kramer
2019	—	`conf`	Forecast of Study Success in the STEM Disciplines Based Solely on Academic Records. PKDD/ECML Workshops (1) Lukas Pensel, Stefan Kramer
2019	B	`conf`	Integrating LSTMs with Online Density Estimation for the Probabilistic Forecast of Energy Consumption. DS Julian Vexler, Stefan Kramer
2019	—	`conf`	Modeling Multi-label Recurrence in Data Streams. ICBK Zahra Ahmadi, Stefan Kramer
2019	J	`jnl`	Multi-label classification using stacked hierarchical Dirichlet processes with reduced sampling complexity. Knowl. Inf. Syst. Sophie Burkhardt, Stefan Kramer
2019	—	`conf`	Pairwise Learning to Rank by Neural Networks Revisited: Reconstruction, Theoretical Analysis and Practical Performance. ECML/PKDD (3) Marius Köppel, Alexander Segner, Martin Wagener, Lukas Pensel, Andreas Karwath, Stefan Kramer
2019	J	`jnl`	Pairwise Learning to Rank by Neural Networks Revisited: Reconstruction, Theoretical Analysis and Practical Performance. CoRR Marius Köppel, Alexander Segner, Martin Wagener, Lukas Pensel, Andreas Karwath, Stefan Kramer
2018	J	`jnl`	A label compression method for online multi-label classification. Pattern Recognit. Lett. Zahra Ahmadi, Stefan Kramer
2018	B	`conf`	An inductive learning perspective on automated generation of feature models from given product specifications. SPLC Hermann Kaindl, Stefan Kramer, Ralph Hoch
2018	J	`jnl`	Exploring Multiobjective Optimization for Multiview Clustering. ACM Trans. Knowl. Discov. Data Sriparna Saha, Sayantan Mitra, Stefan Kramer
2018	B	`conf`	Forest of Normalized Trees: Fast and Accurate Density Estimation of Streaming Data. DSAA Patrick Rehn, Zahra Ahmadi, Stefan Kramer
2018	—	`conf`	Graph Clustering with Local Density-Cut. DASFAA (1) Junming Shao, Qinli Yang, Zhong Zhang, Jinhu Liu, Stefan Kramer
2018	J	`jnl`	Modeling recurring concepts in data streams: a graph-based framework. Knowl. Inf. Syst. Zahra Ahmadi, Stefan Kramer
2018	J	`jnl`	Online Multi-Label Classification: A Label Compression Method. CoRR Zahra Ahmadi, Stefan Kramer
2018	J	`jnl`	Online estimation of discrete, continuous, and conditional joint densities using classifier chains. Data Min. Knowl. Discov. Michael Geilke, Andreas Karwath, Eibe Frank, Stefan Kramer
2018	J	`jnl`	Online multi-label dependency topic models for text classification. Mach. Learn. Sophie Burkhardt, Stefan Kramer
2018	—	`conf`	Privacy Preserving Client/Vertical-Servers Classification. MIDAS/PAP@PKDD/ECML Derian Boer, Zahra Ahmadi, Stefan Kramer
2018	B	`conf`	Towards Bankruptcy Prediction: Deep Sentiment Mining to Detect Financial Distress from Business Management Reports. DSAA Zahra Ahmadi, Peter Martens, Christopher Koch, Thomas Gottron, Stefan Kramer
2018	B	`conf`	cuBool: Bit-Parallel Boolean Matrix Factorization on CUDA-Enabled Accelerators. ICPADS Robin Kobus, Adrian Lamoth, André Müller, Christian Hundt, Stefan Kramer, Bertil Schmidt
2017	B	`conf`	An In-Depth Experimental Comparison of RNTNs and CNNs for Sentence Modeling. DS Zahra Ahmadi, Marcin Skowron, Aleksandrs Stier, Stefan Kramer
2017	B	`conf`	Convolutional Neural Networks for the Identification of Regions of Interest in PET Scans: A Study of Representation Learning for Diagnosing Alzheimer's Disease. AIME Andreas Karwath, Markus Hubrich, Stefan Kramer
2017	J	`jnl`	Ensembles of Randomized Time Series Shapelets Provide Improved Accuracy while Reducing Computational Costs. CoRR Atif Raza, Stefan Kramer
2017	—	`ch.`	Inductive Database Approach to Graphmining. Encyclopedia of Machine Learning and Data Mining Stefan Kramer
2017	—	`conf`	Multi-label Classification Using Stacked Hierarchical Dirichlet Processes with Reduced Sampling Complexity. ICBK Sophie Burkhardt, Stefan Kramer
2017	—	`conf`	Online Sparse Collapsed Hybrid Variational-Gibbs Algorithm for Hierarchical Dirichlet Process Topic Models. ECML/PKDD (2) Sophie Burkhardt, Stefan Kramer
2017	—	`conf`	Privacy-Preserving Pattern Mining on Online Density Estimates. ICBK Michael Geilke, Stefan Kramer
2017	J	`jnl`	The best privacy defense is a good privacy offense: obfuscating a search engine user's profile. Data Min. Knowl. Discov. Jörg Wicker, Stefan Kramer
2017	—	`conf`	To Parse or Not to Parse: An Experimental Comparison of RNTNs and CNNs for Sentiment Analysis. EMSASW@ESWC Zahra Ahmadi, Aleksandrs Stier, Marcin Skowron, Stefan Kramer
2016	—	`ch.`	A Hybrid Machine Learning and Knowledge Based Approach to Limit Combinatorial Explosion in Biodegradation Prediction. Computational Sustainability Jörg Wicker, Kathrin Fenner, Stefan Kramer
2016	—	`conf`	A Nonlinear Label Compression and Transformation Method for Multi-label Classification Using Autoencoders. PAKDD (1) Jörg Wicker, Andrey Tyukin, Stefan Kramer
2016	J	`jnl`	Filtered circular fingerprints improve either prediction or runtime performance while retaining interpretability. J. Cheminformatics Martin Gütlein, Stefan Kramer
2016	J	`jnl`	Graph Clustering with Density-Cut. CoRR Junming Shao, Qinli Yang, Jinhu Liu, Stefan Kramer
2016	—	`conf`	Online Density Estimation of Heterogeneous Data Streams in Higher Dimensions. ECML/PKDD (1) Michael Geilke, Andreas Karwath, Stefan Kramer
2016	J	`jnl`	Scalable Clustering by Iterative Partitioning and Point Attractor Representation. ACM Trans. Knowl. Discov. Data Junming Shao, Qinli Yang, Hoang-Vu Dang, Bertil Schmidt, Stefan Kramer
2016	Misc	`conf`	Trading off accuracy for efficiency by randomized greedy warping. SAC Atif Raza, Jörg Wicker, Stefan Kramer
2016	J	`jnl`	enviPath - The environmental contaminant biotransformation pathway resource. Nucleic Acids Res. Jörg Wicker, Tim Lorsbach, Martin Gütlein, Emanuel Schmid, Diogo Latino, Stefan Kramer, Kathrin Fenner
2015	Misc	`conf`	Alternating model trees. SAC Eibe Frank, Michael Mayo, Stefan Kramer
2015	A*	`conf`	Cinema Data Mining: The Smell of Fear. KDD Jörg Wicker, Nicolas Krauter, Bettina Derstorff, Christof Stönner, Efstratios Bourtsoukidis, Thomas Klüpfel, Jonathan Williams, Stefan Kramer
2015	J	`jnl`	Efficient redundancy reduced subgroup discovery via quadratic programming. J. Intell. Inf. Syst. Rui Li, Robert Perneczky, Alexander Drzezga, Stefan Kramer
2015	B	`conf`	Modeling recurrent distributions in streams using possible worlds. DSAA Michael Geilke, Andreas Karwath, Stefan Kramer
2015	Misc	`conf`	On the spectrum between binary relevance and classifier chains in multi-label classification. SAC Sophie Burkhardt, Stefan Kramer
2015	—	`conf`	Scavenger - A Framework for Efficient Evaluation of Dynamic and Modular Algorithms. ECML/PKDD (3) Andrey Tyukin, Stefan Kramer, Jörg Wicker
2014	B	`conf`	A probabilistic condensed representation of data for stream mining. DSAA Michael Geilke, Andreas Karwath, Stefan Kramer
2014	—	`conf`	BMaD - A Boolean Matrix Decomposition Framework. ECML/PKDD (3) Andrey Tyukin, Stefan Kramer, Jörg Wicker
2014	J	`jnl`	CheS-Mapper 2.0 for visual validation of (Q)SAR models. J. Cheminformatics Martin Gütlein, Andreas Karwath, Stefan Kramer
2014	A	`conf`	Constrained Latent Dirichlet Allocation for Subgroup Discovery with Topic Rules. ECAI Rui Li, Zahra Ahmadi, Stefan Kramer
2014	Misc	`conf`	Extracting information from support vector machines for pattern-based classification. SAC Madeleine Seeland, Andreas Maunz, Andreas Karwath, Stefan Kramer
2014	J	`jnl`	Online Induction of Probabilistic Real-Time Automata. J. Comput. Sci. Technol. Jana Schmidt, Stefan Kramer
2014	A*	`conf`	Prototype-based learning on concept-drifting data streams. KDD Junming Shao, Zahra Ahmadi, Stefan Kramer
2014	J	`jnl`	Pruning Incremental Linear Model Trees with Approximate Lookahead. IEEE Trans. Knowl. Data Eng. Andreas Hapfelmeier, Bernhard Pfahringer, Stefan Kramer
2014	Misc	`conf`	Structural clustering of millions of molecular graphs. SAC Madeleine Seeland, Andreas Karwath, Stefan Kramer
2013	J	`jnl`	Adapted Transfer of Distance Measures for Quantitative Structure-Activity Relationships and Data-Driven Selection of Source Datasets. Comput. J. Tobias Girschick, Ulrich Rückert, Stefan Kramer
2013	J	`jnl`	Improving structural similarity based virtual screening using background knowledge. J. Cheminformatics Tobias Girschick, Lucia Puchbauer, Stefan Kramer
2013	Misc	`conf`	Incremental linear model trees on massive datasets: keep it simple, keep it fast. SAC Andreas Hapfelmeier, Jana Schmidt, Stefan Kramer
2013	J	`jnl`	Learning probabilistic real-time automata from multi-attribute event logs. Intell. Data Anal. Jana Schmidt, Asghar Ghorbani, Andreas Hapfelmeier, Stefan Kramer
2013	Misc	`conf`	Model selection based product kernel learning for regression on graphs. SAC Madeleine Seeland, Stefan Kramer, Bernhard Pfahringer
2013	A*	`conf`	Online Estimation of Discrete Densities. ICDM Michael Geilke, Eibe Frank, Andreas Karwath, Stefan Kramer
2013	J	`jnl`	Similarity Boosted Quantitative Structure-Activity Relationship - A Systematic Study of Enhancing Structural Descriptors by Molecular Similarity. J. Chem. Inf. Model. Tobias Girschick, Pedro R. Almeida, Stefan Kramer, Jonna C. Stålring
2012	A*	`conf`	A structural cluster kernel for learning on graphs. KDD Madeleine Seeland, Andreas Karwath, Stefan Kramer
2012	J	`jnl`	CheS-Mapper - Chemical Space Mapping and Visualization in 3D. J. Cheminformatics Martin Gütlein, Andreas Karwath, Stefan Kramer
2012	J	`jnl`	DySC: software for greedy clustering of 16S rRNA reads. Bioinform. Zejun Zheng, Stefan Kramer, Bertil Schmidt
2012	B	`conf`	Efficient Redundancy Reduced Subgroup Discovery via Quadratic Programming. Discovery Science Rui Li, Stefan Kramer
2012	Misc	`conf`	Maximum Common Subgraph based locally weighted regression. SAC Madeleine Seeland, Fabian Buchwald, Stefan Kramer, Bernhard Pfahringer
2012	Misc	`conf`	Multi-label classification using boolean matrix decomposition. SAC Jörg Wicker, Bernhard Pfahringer, Stefan Kramer
2012	A*	`conf`	Online Induction of Probabilistic Real Time Automata. ICDM Jana Schmidt, Stefan Kramer
2012	A	`conf`	Scalable Induction of Probabilistic Real-Time Automata Using Maximum Frequent Pattern Based Clustering. SDM Jana Schmidt, Sonja Ansorge, Stefan Kramer
2011	B	`conf`	A Case Study of Stacked Multi-view Learning in Dementia Research. AIME Rui Li, Andreas Hapfelmeier, Jana Schmidt, Robert Perneczky, Alexander Drzezga, Alexander Kurz, Stefan Kramer
2011	A*	`conf`	Clustering with Attribute-Level Constraints. ICDM Jana Schmidt, Elisabeth Maria Brändle, Stefan Kramer
2011	J	`jnl`	Efficient mining for structurally diverse subgraph patterns in large molecular databases. Mach. Learn. Andreas Maunz, Christoph Helma, Stefan Kramer
2011	J	`jnl`	Improving structure alignment-based prediction of SCOP families using Vorolign Kernels. Bioinform. Tobias Hamp, Fabian Birzele, Fabian Buchwald, Stefan Kramer
2011	—	`conf`	Parallel Structural Graph Clustering. ECML/PKDD (3) Madeleine Seeland, Simon A. Berger, Alexandros Stamatakis, Stefan Kramer
2011	J	`jnl`	Predicting a small molecule-kinase interaction map: A machine learning approach. J. Cheminformatics Fabian Buchwald, Lothar Richter, Stefan Kramer
2011	B	`conf`	The Augmented Itemset Tree: A Data Structure for Online Maximum Frequent Pattern Mining. Discovery Science Jana Schmidt, Stefan Kramer
2010	B	`conf`	A Numerical Refinement Operator Based on Multi-Instance Learning. ILP Érick Alphonse, Tobias Girschick, Fabian Buchwald, Stefan Kramer
2010	J	`jnl`	A Study of Hierarchical and Flat Classification of Proteins. IEEE ACM Trans. Comput. Biol. Bioinform. Arthur Zimek, Fabian Buchwald, Eibe Frank, Stefan Kramer
2010	B	`conf`	Adapted Transfer of Distance Measures for Quantitative Structure-Activity Relationships. Discovery Science Ulrich Rückert, Tobias Girschick, Fabian Buchwald, Stefan Kramer
2010	J	`jnl`	Collaborative development of predictive toxicology applications. J. Cheminformatics Barry J. Hardy, Nicki Douglas, Christoph Helma, Micha Rautenberg, Nina Jeliazkova, Vedrin Jeliazkov, Ivelina Nikolova, Romualdo Benigni, Olga Tcheremenskaia, Stefan Kramer, Tobias Girschick, Fabian Buchwald, Jörg Wicker, Andreas Karwath, Martin Gütlein, Andreas Maunz, Haralambos Sarimveis, Georgia Melagraki, Antreas Afantitis, Pantelis Sopasakis, David Gallagher, Vladimir Poroikov, Dmitry Filimonov, Alexey V. Zakharov, Alexey Lagunin, Tatyana Gloriozova, Sergey Novikov, Natalia Skvortsova, Dmitry S. Druzhilovskiy, Sunil Chawla, Indira Ghosh, Surajit Ray, Hitesh Patel, Sylvia Escher
2010	B	`conf`	Equation Discovery for Model Identification in Respiratory Mechanics of the Mechanically Ventilated Human Lung. Discovery Science Steven Ganzert, Josef Guttmann, Daniel Steinmann, Stefan Kramer
2010	A*	`conf`	Fast Conditional Density Estimation for Quantitative Structure-Activity Relationships. AAAI Fabian Buchwald, Tobias Girschick, Eibe Frank, Stefan Kramer
2010	—	`ch.`	Inductive Database Approach to Graphmining. Encyclopedia of Machine Learning Stefan Kramer
2010	B	`conf`	Integer Linear Programming Models for Constrained Clustering. Discovery Science Marianne Mueller, Stefan Kramer
2010	J	`jnl`	Interpreting PET scans by structured patient data: a data mining case study in dementia research. Knowl. Inf. Syst. Jana Schmidt, Andreas Hapfelmeier, Marianne Mueller, Robert Perneczky, Alexander Kurz, Alexander Drzezga, Stefan Kramer
2010	—	`conf`	Latent Structure Pattern Mining. ECML/PKDD (2) Andreas Maunz, Christoph Helma, Tobias Cramer, Stefan Kramer
2010	—	`conf`	Learning Real-Time Automata from Multi-Attribute Event Logs. NyNaK Stefan Kramer
2010	B	`conf`	Mining Class-Correlated Patterns for Sequence Labeling. Discovery Science Thomas Hopf, Stefan Kramer
2010	—	`conf`	Online Structural Graph Clustering Using Frequent Subgraph Mining. ECML/PKDD (3) Madeleine Seeland, Tobias Girschick, Fabian Buchwald, Stefan Kramer
2010	J	`jnl`	Pitfalls of supervised feature selection. Bioinform. Pawel Smialowski, Dmitrij Frishman, Stefan Kramer
2010	J	`jnl`	Predicting biodegradation products and pathways: a hybrid knowledge- and machine learning-based approach. Bioinform. Jörg Wicker, Kathrin Fenner, Lynda B. M. Ellis, Lawrence P. Wackett, Stefan Kramer
2010	—	`ch.`	SINDBAD and SiQL: Overview, Applications and Future Developments. Inductive Databases and Constraint-Based Data Mining Jörg Wicker, Lothar Richter, Stefan Kramer
2009	B	`conf`	Data-Efficient Information-Theoretic Test Selection. AIME Marianne Mueller, Rómer Rosales, Harald Steck, Sriram Krishnan, Bharat Rao, Stefan Kramer
2009	J	`jnl`	Enhancing navigation in biomedical databases by community voting and database-driven text classification. BMC Bioinform. Timo Duchrow, Timur Shtatland, Daniel Guettler, Misha Pivovarov, Stefan Kramer, Ralph Weissleder
2009	B	`conf`	Finding Relational Associations in HIV Resistance Mutation Data. ILP Lothar Richter, Regina Augustin, Stefan Kramer
2009	—	`conf`	Large-Scale Graph Mining Using Backbone Refinement Classes. MLG/SRL@ILP Andreas Maunz, Christoph Helma, Stefan Kramer
2009	A*	`conf`	Large-scale graph mining using backbone refinement classes. KDD Andreas Maunz, Christoph Helma, Stefan Kramer
2009	B	`conf`	Prediction of Mechanical Lung Parameters Using Gaussian Process Models. AIME Steven Ganzert, Stefan Kramer, Knut Möller, Daniel Steinmann, Josef Guttmann
2009	B	`conf`	Subgroup Discovery for Test Selection: A Novel Approach and Its Application to Breast Cancer Diagnosis. IDA Marianne Mueller, Rómer Rosales, Harald Steck, Sriram Krishnan, Bharat Rao, Stefan Kramer
2008	B	`conf`	An inductive database and query language in the relational model. EDBT Lothar Richter, Jörg Wicker, Kristina Kessler, Stefan Kramer
2008	J	`jnl`	Data-driven extraction of relative reasoning rules to limit combinatorial explosion in biodegradation pathway prediction. Bioinform. Kathrin Fenner, Junfeng Gao, Stefan Kramer, Lynda B. M. Ellis, Lawrence P. Wackett
2008	J	`jnl`	Inductive logic programming for gene regulation prediction. Mach. Learn. Sebastian Fröhler, Stefan Kramer
2008	A*	`conf`	Interpreting PET Scans by Structured Patient Data: A Data Mining Case Study in Dementia Research. ICDM Andreas Hapfelmeier, Jana Schmidt, Marianne Mueller, Stefan Kramer, Robert Perneczky, Alexander Kurz, Alexander Drzezga
2008	—	`conf`	Kernel-Based Inductive Transfer. ECML/PKDD (2) Ulrich Rückert, Stefan Kramer
2008	J	`jnl`	Margin-based first-order rule learning. Mach. Learn. Ulrich Rückert, Stefan Kramer
2008	—	`conf`	SINDBAD and SiQL: An Inductive Database and Query Language in the Relational Model. ECML/PKDD (2) Jörg Wicker, Lothar Richter, Kristina Kessler, Stefan Kramer
2007	—	`conf`	Optimizing Feature Sets for Structured Data. ECML Ulrich Rückert, Stefan Kramer
2007	J	`jnl`	Three Data Mining Techniques To Improve Lazy Structure-Activity Relationships for Noncongeneric Compounds. J. Chem. Inf. Model. Selina Sommer, Stefan Kramer
2006	J	`jnl`	A new representation for protein secondary structure prediction based on frequent patterns. Bioinform. Fabian Birzele, Stefan Kramer
2006	A*	`conf`	A statistical approach to rule learning. ICML Ulrich Rückert, Stefan Kramer
2006	B	`conf`	Inductive Logic Programming for Gene Regulation Prediction. ILP Sebastian Fröhler, Stefan Kramer
2006	J	`jnl`	Introduction to the special issue on multi-relational data mining and statistical relational learning. Mach. Learn. Hendrik Blockeel, David D. Jensen, Stefan Kramer
2006	Misc	`conf`	Learning a Predictive Model for Growth Inhibition from the NCI DTP Human Tumor Cell Line Screening Data: Does Gene Expression Make a Difference? Pacific Symposium on Biocomputing Lothar Richter, Ulrich Rückert, Stefan Kramer
2006	C	`conf`	Leveraging Chemical Background Knowledge for the Prediction of Growth Inhibition. BIBE Lothar Richter, Stefan Hechtl, Stefan Kramer
2006	B	`conf`	Margin-Based First-Order Rule Learning. ILP Ulrich Rückert, Stefan Kramer
2006	—	`conf`	Optimal String Mining Under Frequency Constraints. PKDD Johannes Fischer, Volker Heun, Stefan Kramer
2005	—	`conf`	Analyzing microarray data using quantitative association rules. ECCB/JBI Elisabeth Georgii, Lothar Richter, Ulrich Rückert, Stefan Kramer
2005	—	`conf`	Ensembles of Balanced Nested Dichotomies for Multi-class Problems. PKDD Lin Dong, Eibe Frank, Stefan Kramer
2005	—	`conf`	Extending Function Point Analysis of Object-Oriented Requirements Specifications. IEEE METRICS Vahan Harput, Hermann Kaindl, Stefan Kramer
2005	A*	`conf`	Fast Frequent String Mining Using Suffix Arrays. ICDM Johannes Fischer, Volker Heun, Stefan Kramer
2005	—	`conf`	Inductive Databases in the Relational Model: The Data as the Bridge. KDID Stefan Kramer, Volker Aufschild, Andreas Hapfelmeier, Alexander Jarasch, Kristina Kessler, Stefan Reckow, Jörg Wicker, Lothar Richter
2005	B	`ed.`	Inductive Logic Programming, 15th International Conference, ILP 2005, Bonn, Germany, August 10-13, 2005, Proceedings ILP Stefan Kramer, Bernhard Pfahringer
2004	J	`jnl`	Coupling and cohesion metrics for knowledge-based systems using frames and rules. ACM Trans. Softw. Eng. Methodol. Stefan Kramer, Hermann Kaindl
2004	J	`jnl`	Data Mining and Machine Learning Techniques for the Identification of Mutagenicity Inducing Substructures and Structure Activity Relationships of Noncongeneric Compounds. J. Chem. Inf. Model. Christoph Helma, Tobias Cramer, Stefan Kramer, Luc De Raedt
2004	—	`conf`	Data Mining: The Next Generation. Perspectives Workshop: Data Mining: The Next Generation Raghu Ramakrishnan, Rakesh Agrawal, Johann-Christoph Freytag, Toni Bollinger, Christopher W. Clifton, Saso Dzeroski, Jochen Hipp, Daniel A. Keim, Stefan Kramer, Hans-Peter Kriegel, Ulf Leser, Bing Liu, Heikki Mannila, Rosa Meo, Shinichi Morishita, Raymond T. Ng, Jian Pei, Prabhakar Raghavan, Myra Spiliopoulou, Jaideep Srivastava, Vicenç Torra
2004	A*	`conf`	Ensembles of nested dichotomies for multi-class problems. ICML Eibe Frank, Stefan Kramer
2004	J	`jnl`	Experiments In Predicting Biodegradability. Appl. Artif. Intell. Hendrik Blockeel, Saso Dzeroski, Boris Kompare, Stefan Kramer, Bernhard Pfahringer, Wim Van Laer
2004	Misc	`conf`	Frequent free tree discovery in graph data. SAC Ulrich Rückert, Stefan Kramer
2004	A*	`conf`	Quantitative Association Rules Based on Half-Spaces: An Optimization Approach. ICDM Ulrich Rückert, Lothar Richter, Stefan Kramer
2004	A*	`conf`	Towards tight bounds for rule learning. ICML Ulrich Rückert, Stefan Kramer
2003	J	`jnl`	A Survey of the Predictive Toxicology Challenge 2000-2001. Bioinform. Christoph Helma, Stefan Kramer
2003	—	`conf`	Generalized Version Space Trees. KDID Ulrich Rückert, Stefan Kramer
2003	—	`conf`	Metamodel-Compliance Checking of Requirements in a Semiformal Representation. CAiSE Short Paper Proceedings Hermann Kaindl, Stefan Kramer, Mario Hailing, Vahan Harput
2003	J	`jnl`	Statistical Evaluation of the Predictive Toxicology Challenge 2000-2001. Bioinform. Hannu Toivonen, Ashwin Srinivasan, Ross D. King, Stefan Kramer, Christoph Helma
2003	A*	`conf`	Stochastic Local Search in k-Term DNF Learning. ICML Ulrich Rückert, Stefan Kramer
2003	Misc	`conf`	Towards Discovering Structural Signatures of Protein Folds Based on Logical Hidden Markov Models. Pacific Symposium on Biocomputing Kristian Kersting, Tapani Raiko, Stefan Kramer, Luc De Raedt
2002	J	`jnl`	Analysis of respiratory pressure-volume curves in intensive care medicine using inductive machine learning. Artif. Intell. Medicine Steven Ganzert, Josef Guttmann, Kristian Kersting, Ralf Kuhlen, Christian Putensen, Michael Sydow, Stefan Kramer
2002	—	`conf`	Phase Transitions and Stochastic Local Search in k-Term DNF Learning. ECML Ulrich Rückert, Stefan Kramer, Luc De Raedt
2002	A*	`conf`	Transformation-Based Regression. ICML Björn Bringmann, Stefan Kramer, Friedrich Neubarth, Hannes Pirker, Gerhard Widmer
2001	—	`conf`	An Interactive Guide Through a Defined Modelling Process. BCS HCI/IHM Hermann Kaindl, Stefan Kramer, Mario Hailing
2001	B	`conf`	Demand-Driven Construction of Structural Features in ILP. ILP Stefan Kramer
2001	A*	`conf`	Feature Construction with Version Spaces for Biochemical Applications. ICML Stefan Kramer, Luc De Raedt
2001	A*	`conf`	Molecular feature mining in HIV data. KDD Stefan Kramer, Luc De Raedt, Christoph Helma
2001	J	`jnl`	Prediction of Ordinal Classes Using Regression Trees. Fundam. Informaticae Stefan Kramer, Gerhard Widmer, Bernhard Pfahringer, Michael de Groeve
2001	A*	`conf`	The Levelwise Version Space Algorithm and its Application to Molecular Fragment Finding. IJCAI Luc De Raedt, Stefan Kramer
2001	J	`jnl`	The Predictive Toxicology Challenge 2000-2001. Bioinform. Christoph Helma, Ross D. King, Stefan Kramer, Ashwin Srinivasan
2000	—	`conf`	Bottom-Up Propositionalization. ILP Work-in-progress reports Stefan Kramer, Eibe Frank
2000	A	`conf`	Learning to Use Operational Advice. ECAI Johannes Fürnkranz, Bernhard Pfahringer, Hermann Kaindl, Stefan Kramer
2000	C	`conf`	Prediction of Ordinal Classes Using Regression Trees. ISMIS Stefan Kramer, Gerhard Widmer, Bernhard Pfahringer, Michael de Groeve
2000	J	`jnl`	Thesis: Relational learning vs. propositionalization. AI Commun. Stefan Kramer
1999	B	`conf`	Experiments in Predicting Biodegradability. ILP Saso Dzeroski, Hendrik Blockeel, Boris Kompare, Stefan Kramer, Bernhard Pfahringer, Wim Van Laer
1999	—	`conf`	Semiautomatic Generation of Glossary Links: A Practical Solution. Hypertext Hermann Kaindl, Stefan Kramer, Papa Samba Niang Diallo
1998	—	`conf`	A Case Study of Decomposing Functional Requirements Using Scenarios. ICRE Hermann Kaindl, Stefan Kramer, Robert Kacsich
1998	—	`conf`	Combining Structure Search and Content Search for the World-Wide Web. Hypertext Hermann Kaindl, Stefan Kramer, Luis Miguel Afonso
1998	B	`conf`	Stochastic Propositionalization of Non-determinate Background Knowledge. ILP Stefan Kramer, Bernhard Pfahringer, Christoph Helma
1997	—	`conf`	Can We Benefit from Metrics in KBS Development? IJCAI (1) Stefan Kramer, Hermann Kaindl, Stefan Schlee
1997	A*	`conf`	Mining for Causes of Cancer: Machine Learning Experiments at Various Levels of Detail. KDD Stefan Kramer, Bernhard Pfahringer, Christoph Helma
1996	A*	`conf`	Efficient Search for Strong Partial Determinations. KDD Stefan Kramer, Bernhard Pfahringer
1996	—	`conf`	Structural Regression Trees. AAAI/IAAI, Vol. 1 Stefan Kramer
1995	A*	`conf`	Compression-Based Evaluation of Partial Determinations. KDD Bernhard Pfahringer, Stefan Kramer