| Margin-maximization in binarized neural networks for optimizing bit error tolerance S Buschjäger, JJ Chen, KH Chen, M Günzel, C Hakert, K Morik, R Novkin, ... 2021 Design, Automation & Test in Europe Conference & Exhibition (DATE), 673-678, 2021 | 25 | 2021 |
| On-Site Gamma-Hadron Separation with Deep Learning on FPGAs S Buschjäger, L Pfahler, J Buss, K Morik, W Rhode Machine Learning and Knowledge Discovery in Databases: Applied Data Science …, 2021 | 19 | 2021 |
| Generalized Negative Correlation Learning for Deep Ensembling S Buschjäger, L Pfahler, K Morik arXiv preprint arXiv:2011.02952, 2020 | 19 | 2020 |
| Semantic Search in Millions of Equations L Pfahler, K Morik Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020 | 17 | 2020 |
| Very fast streaming submodular function maximization S Buschjäger, PJ Honysz, L Pfahler, K Morik Joint European Conference on Machine Learning and Knowledge Discovery in …, 2021 | 11 | 2021 |
| The Search for Equations–Learning to Identify Similarities between Mathematical Expressions L Pfahler, J Schill, K Morik Joint European Conference on Machine Learning and Knowledge Discovery in …, 2019 | 10 | 2019 |
| Me, myself and the other. Interreligious and intrareligious relations in neo-conservative online forums F Elwert, S Tabti, L Pfahler Religion 50 (3), 414-436, 2020 | 6 | 2020 |
| Towards Explainable Bit Error Tolerance of Resistive RAM-Based Binarized Neural Networks S Buschjäger, JJ Chen, KH Chen, M Günzel, C Hakert, K Morik, R Novkin, ... arXiv preprint arXiv:2002.00909, 2020 | 5 | 2020 |
| Learning Low-Rank Document Embeddings with Weighted Nuclear Norm Regularization L Pfahler, K Morik, F Elwert, S Tabti, V Krech 2017 IEEE International Conference on Data Science and Advanced Analytics …, 2017 | 5 | 2017 |
| Self-Supervised Pretraining of Graph Neural Network for the Retrieval of Related Mathematical Expressions in Scientific Articles L Pfahler, K Morik arXiv preprint arXiv:2209.00446, 2022 | 4 | 2022 |
| Check Mate: A Sanity Check for Trustworthy AI S Mücke, L Pfahler Technical report, 2022. 108, 2022 | 3 | 2022 |
| Bit Error Tolerance Metrics for Binarized Neural Networks S Buschjäger, JJ Chen, KH Chen, M Günzel, K Morik, R Novkin, L Pfahler, ... arXiv preprint arXiv:2102.01344, 2021 | 3 | 2021 |
| What do you do with 5 million posts?: Versuche zum distant reading religiöser Online-Foren L Pfahler, F Elwert, S Tabti, K Morik, V Krech DHd 2018, 335-338, 2018 | 3 | 2018 |
| Untersuchungen zur Analyse von deutschsprachigen Textdaten K Morik, A Jung, J Weckwerth, S Rötner, S Hess, S Buschjäger, L Pfahler Technische Universität Dortmund, Tech. Rep. 02/2015, 2015 | 3 | 2015 |
| Explaining Deep Learning Representations by Tracing the Training Process L Pfahler, K Morik arXiv preprint arXiv:2109.05880, 2021 | 2 | 2021 |
| Some Representation Learning Tasks and the Inspection of eir Models L Pfahler | 2 | 2021 |
| Interpretable Nearest Neighbor Queries for Tree-Structured Data in Vector Databases of Graph-Neural Network Embeddings. L Pfahler, J Richter EDBT/ICDT Workshops, 2020 | 2 | 2020 |
| Noisy Labels for Weakly Supervised Gamma Hadron Classification L Pfahler, M Bunse, K Morik arXiv preprint arXiv:2108.13396, 2021 | 1 | 2021 |
| Fighting Filterbubbles with Adversarial Training L Pfahler, K Morik Proceedings of the 2nd International Workshop on Fairness, Accountability …, 2020 | 1 | 2020 |
| Nyström-SGD: Fast Learning of Kernel-Classifiers with Conditioned Stochastic Gradient Descent L Pfahler, K Morik Joint European Conference on Machine Learning and Knowledge Discovery in …, 2018 | 1 | 2018 |
