| 2025 | DIS | On the Potential of Deep Symbolic Models for Classification Problems. | Florian Beck, Johannes Frnkranz, Van Quoc Phuong Huynh |
| 2025 | ICAART | Extraction of Semantically Coherent Rules from Interpretable Models. | Parisa Mahya, Johannes Frnkranz |
| 2025 | KDD | Partial Pre-Post Code Tree: A Memory-Efficient Tree Structure for Conjunctive Rule Mining. | Van Quoc Phuong Huynh, Florian Beck, Johannes Frnkranz |
| 2025 | SYNASC | Towards SAT-Based Learning of NNF Networks. | Paul Seip, Florian Beck, Johannes Frnkranz, Clemens Hofstadler, Peter Pfeiffer, Martina Seidl, Robert Peharz, Stefan Szeider |
| 2024 | DaWaK | Dynamic Time Warping for Phase Recognition in Tribological Sensor Data. | Anna-Christina Glock, Johannes Frnkranz |
| 2024 | DIS | Learning Deep Rule Concepts as Alternating Boolean Pattern Trees. | Florian Beck, Johannes Frnkranz, Van Quoc Phuong Huynh |
| 2024 | KI | Efficiently Training Neural Networks for Imperfect Information Games by Sampling Information Sets. | Timo Bertram, Johannes Frnkranz, Martin Mller |
| 2023 | DIS | Probabilistic Scoring Lists for Interpretable Machine Learning. | Jonas Hanselle, Johannes Frnkranz, Eyke Hllermeier |
| 2022 | DIS | Incremental Update of Locally Optimal Classification Rules. | Van Quoc Phuong Huynh, Florian Beck, Johannes Frnkranz |
| 2022 | KI | Unsupervised Alignment of Distributional Word Embeddings. | Assatou Diallo, Johannes Frnkranz |
| 2021 | AIME | Sum-Product Networks for Early Outbreak Detection of Emerging Diseases. | Moritz Kulessa, Bennet Wittelsbach, Eneldo Loza Menca, Johannes Frnkranz |
| 2021 | DIS | Elliptical Ordinal Embedding. | Assatou Diallo, Johannes Frnkranz |
| 2021 | IDA | Revisiting Non-specific Syndromic Surveillance. | Moritz Kulessa, Eneldo Loza Menca, Johannes Frnkranz |
| 2020 | DIS | On Aggregation in Ensembles of Multilabel Classifiers. | Vu-Linh Nguyen, Eyke Hllermeier, Michael Rapp, Eneldo Loza Menca, Johannes Frnkranz |
| 2020 | ECAI | Permutation Learning via Lehmer Codes. | Assatou Diallo, Markus Zopf, Johannes Frnkranz |
| 2020 | KI | Conformal Rule-Based Multi-label Classification. | Eyke Hllermeier, Johannes Frnkranz, Eneldo Loza Menca |
| 2019 | CoNLL | Learning Analogy-Preserving Sentence Embeddings for Answer Selection. | Assatou Diallo, Markus Zopf, Johannes Frnkranz |
| 2019 | DIS | On the Trade-Off Between Consistency and Coverage in Multi-label Rule Learning Heuristics. | Michael Rapp, Eneldo Loza Menca, Johannes Frnkranz |
| 2019 | ESANN | Beta Distribution Drift Detection for Adaptive Classifiers. | Lukas Fleckenstein, Sebastian Kauschke, Johannes Frnkranz |
| 2019 | ICML | Learning Context-dependent Label Permutations for Multi-label Classification. | Jinseok Nam, Young-Bum Kim, Eneldo Loza Menca, Sunghyun Park, Ruhi Sarikaya, Johannes Frnkranz |
| 2019 | IJCNN | Mending is Better than Ending: Adapting Immutable Classifiers to Nonstationary Environments using Ensembles of Patches. | Sebastian Kauschke, Lukas Fleckenstein, Johannes Frnkranz |
| 2019 | IJCNN | Patching Deep Neural Networks for Nonstationary Environments. | Sebastian Kauschke, David Hermann Lehmann, Johannes Frnkranz |
| 2019 | KI | Personalized Transaction Kernels for Recommendation Using MCTS. | Maryam Tavakol, Tobias Joppen, Ulf Brefeld, Johannes Frnkranz |
| 2018 | AAAI | Batchwise Patching of Classifiers. | Sebastian Kauschke, Johannes Frnkranz |
| 2018 | DIS | Leveraging Reproduction-Error Representations for Multi-Instance Classification. | Sebastian Kauschke, Max Mhlhuser, Johannes Frnkranz |
| 2018 | ICMLA | Towards Semi-Supervised Classification of Event Streams via Denoising Autoencoders. | Sebastian Kauschke, Max Mhlhuser, Johannes Frnkranz |
| 2018 | IDA | The Need for Interpretability Biases. | Johannes Frnkranz, Toms Kliegr |
| 2018 | KI | Preference-Based Monte Carlo Tree Search. | Tobias Joppen, Christian Wirth, Johannes Frnkranz |
| 2018 | NAACL | Which Scores to Predict in Sentence Regression for Text Summarization? | Markus Zopf, Eneldo Loza Menca, Johannes Frnkranz |
| 2018 | PAKDD | Exploiting Anti-monotonicity of Multi-label Evaluation Measures for Inducing Multi-label Rules. | Michael Rapp, Eneldo Loza Menca, Johannes Frnkranz |
| 2017 | CICLING | Interactive Data Analytics for the Humanities. | Iryna Gurevych, Christian M. Meyer, Carsten Binnig, Johannes Frnkranz, Kristian Kersting, Stefan Roth, Edwin Simpson |
| 2017 | DIS | Re-training Deep Neural Networks to Facilitate Boolean Concept Extraction. | Camila Gonzlez, Eneldo Loza Menca, Johannes Frnkranz |
| 2017 | DIS | Evaluation of Different Heuristics for Accommodating Asymmetric Loss Functions in Regression. | Andrei Tolstikov, Frederik Janssen, Johannes Frnkranz |
| 2017 | NLDB | Multi-objective Optimisation-Based Feature Selection for Multi-label Classification. | Mohammed Arif Khan, Asif Ekbal, Eneldo Loza Menca, Johannes Frnkranz |
| 2016 | AAAI | All-in Text: Learning Document, Label, and Word Representations Jointly. | Jinseok Nam, Eneldo Loza Menca, Johannes Frnkranz |
| 2016 | AAAI | Model-Free Preference-Based Reinforcement Learning. | Christian Wirth, Johannes Frnkranz, Gerhard Neumann |
| 2016 | COLING | What Makes Word-level Neural Machine Translation Hard: A Case Study on English-German Translation. | Fabian Hirschmann, Jinseok Nam, Johannes Frnkranz |
| 2016 | COLING | Sequential Clustering and Contextual Importance Measures for Incremental Update Summarization. | Markus Zopf, Eneldo Loza Menca, Johannes Frnkranz |
| 2016 | CoNLL | Beyond Centrality and Structural Features: Learning Information Importance for Text Summarization. | Markus Zopf, Eneldo Loza Menca, Johannes Frnkranz |
| 2016 | DIS | Predicting Cargo Train Failures: A Machine Learning Approach for a Lightweight Prototype. | Sebastian Kauschke, Johannes Frnkranz, Frederik Janssen |
| 2016 | DIS | Shorter Rules Are Better, Aren't They? | Julius Stecher, Frederik Janssen, Johannes Frnkranz |
| 2016 | ESANN | Using semantic similarity for multi-label zero-shot classification of text documents. | Prateek Veeranna Sappadla, Jinseok Nam, Eneldo Loza Menca, Johannes Frnkranz |
| 2015 | ICML | Event-based Clustering for Reducing Labeling Costs of Incident-Related Microposts. | Axel Schulz, Petar Ristoski, Johannes Frnkranz, Frederik Janssen |
| 2015 | ICWSM | Event-Based Clustering for Reducing Labeling Costs of Event-related Microposts. | Axel Schulz, Frederik Janssen, Petar Ristoski, Johannes Frnkranz |
| 2014 | ICDM | Graded Multilabel Classification by Pairwise Comparisons. | Christian Brinker, Eneldo Loza Menca, Johannes Frnkranz |
| 2013 | ACML | EPMC: Every Visit Preference Monte Carlo for Reinforcement Learning. | Christian Wirth, Johannes Frnkranz |
| 2013 | IDA | A Policy Iteration Algorithm for Learning from Preference-Based Feedback. | Christian Wirth, Johannes Frnkranz |
| 2012 | DIS | Error-Correcting Output Codes as a Transformation from Multi-Class to Multi-Label Prediction. | Johannes Frnkranz, Sang-Hyeun Park |
| 2012 | IDA | Multi-label LeGo - Enhancing Multi-label Classifiers with Local Patterns. | Wouter Duivesteijn, Eneldo Loza Menca, Johannes Frnkranz, Arno J. Knobbe |
| 2011 | ALT | Learning from Label Preferences. | Eyke Hllermeier, Johannes Frnkranz |
| 2011 | DIS | Learning from Label Preferences. | Eyke Hllermeier, Johannes Frnkranz |
| 2011 | DIS | Rule Stacking: An Approach for Compressing an Ensemble of Rule Sets into a Single Classifier. | Jan-Nikolas Sulzmann, Johannes Frnkranz |
| 2011 | IJCAI | Heuristic Rule-Based Regression via Dynamic Reduction to Classification. | Frederik Janssen, Johannes Frnkranz |
| 2010 | DIS | Exploiting Code Redundancies in ECOC. | Sang-Hyeun Park, Lorenz Weizscker, Johannes Frnkranz |
| 2010 | LREC | Efficient Multilabel Classification Algorithms for Large-Scale Problems in the Legal Domain. | Eneldo Loza Menca, Johannes Frnkranz |
| 2009 | DIS | An Empirical Comparison of Probability Estimation Techniques for Probabilistic Rules. | Jan-Nikolas Sulzmann, Johannes Frnkranz |
| 2009 | ESANN | Efficient voting prediction for pairwise multilabel classification. | Eneldo Loza Menca, Sang-Hyeun Park, Johannes Frnkranz |
| 2009 | KI | An Exploitative Monte-Carlo Poker Agent. | Immanuel Schweizer, Kamill Panitzek, Sang-Hyeun Park, Johannes Frnkranz |
| 2009 | SDM | A Re-evaluation of the Over-Searching Phenomenon in Inductive Rule Learning. | Frederik Janssen, Johannes Frnkranz |
| 2008 | DIS | An Empirical Investigation of the Trade-Off between Consistency and Coverage in Rule Learning Heuristics. | Frederik Janssen, Johannes Frnkranz |
| 2008 | IJCNN | Pairwise learning of multilabel classifications with perceptrons. | Eneldo Loza Menca, Johannes Frnkranz |
| 2008 | PRICAI | Handling Unknown and Imprecise Attribute Values in Propositional Rule Learning: A Feature-Based Approach. | Dragan Gamberger, Nada Lavrac, Johannes Frnkranz |
| 2007 | ICDM | On Meta-Learning Rule Learning Heuristics. | Frederik Janssen, Johannes Frnkranz |
| 2006 | ECAI | A Unified Model for Multilabel Classification and Ranking. | Klaus Brinker, Johannes Frnkranz, Eyke Hllermeier |
| 2005 | IDA | Learning Label Preferences: Ranking Error Versus Position Error. | Eyke Hllermeier, Johannes Frnkranz |
| 2003 | ICML | An Analysis of Rule Evaluation Metrics. | Johannes Frnkranz, Peter A. Flach |
| 2003 | IDA | Combining Pairwise Classifiers with Stacking. | Petr Savick, Johannes Frnkranz |
| 2002 | ALT | A Pathology of Bottom-Up Hill-Climbing in Inductive Rule Learning. | Johannes Frnkranz |
| 2001 | ICML | Round Robin Rule Learning. | Johannes Frnkranz |
| 2001 | IDA | An Evaluation of Grading Classifiers. | Alexander K. Seewald, Johannes Frnkranz |
| 2000 | ECAI | Learning to Use Operational Advice. | Johannes Frnkranz, Bernhard Pfahringer, Hermann Kaindl, Stefan Kramer |
| 1999 | IDA | Exploiting Structural Information for Text Classification on the WWW. | Johannes Frnkranz |
| 1997 | AAAI | More Efficient Windowing. | Johannes Frnkranz |
| 1997 | AAAI | On Effort in AI Research: A Description Along Two Dimensions. | Franz-Gnter Winkler, Johannes Frnkranz |
| 1997 | IJCAI | Noise-Tolerant Windowing. | Johannes Frnkranz |
| 1996 | ECAI | Digging for Peace: Using Machine Learning Methods for Assessing International Conflict Databases. | Robert Trappl, Johannes Frnkranz, Johann Petrak |
| 1994 | ECAI | Top-Down Pruning in Relational Learning. | Johannes Frnkranz |
| 1994 | ICML | Incremental Reduced Error Pruning. | Johannes Frnkranz, Gerhard Widmer |
| 1994 | KDD | A Comparison of Pruning Methods for Relational Concept Learning. | Johannes Frnkranz |