| Ising models for binary clustering via adiabatic quantum computing C Bauckhage, E Brito, K Cvejoski, C Ojeda, R Sifa, S Wrobel Energy Minimization Methods in Computer Vision and Pattern Recognition: 11th …, 2018 | 34 | 2018 |
| Detecting and correcting spelling errors in high-quality Dutch Wikipedia text M Beeksma, M Van Gompel, F Kunneman, L Onrust, B Regnerus, D Vinke, ... Computational Linguistics in the Netherlands Journal 8, 122-137, 2018 | 14 | 2018 |
| A Hybrid AI Tool to Extract Key Performance Indicators from Financial Reports for Benchmarking E Brito, R Sifa, C Bauckhage, R Loitz, U Lohmeier, C Pünt Proceedings of the ACM Symposium on Document Engineering 2019, 2019 | 13* | 2019 |
| Adiabatic quantum computing for binary clustering C Bauckhage, E Brito, K Cvejoski, C Ojeda, R Sifa, S Wrobel arXiv preprint arXiv:1706.05528, 2017 | 11 | 2017 |
| RatVec: A General Approach for Low-dimensional Distributed Vector Representations via Rational Kernels E Brito, B Georgiev, D Domingo-Fernández, CT Hoyt, C Bauckhage LWDA, 2019 | 7 | 2019 |
| Towards shortest paths via adiabatic quantum computing C Bauckhage, E Brito, K Cvejoski, C Ojeda, J Schücker, R Sifa Proc. Mining Learn. Graphs, 2018 | 6 | 2018 |
| Towards German word embeddings: A use case with predictive sentiment analysis E Brito, R Sifa, K Cvejoski, C Ojeda, C Bauckhage Data Science–Analytics and Applications: Proceedings of the 1st …, 2017 | 5 | 2017 |
| KPCA Embeddings: an Unsupervised Approach to Learn Vector Representations of Finite Domain Sequences E Brito, R Sifa, C Bauckhage LWDA/KDML, 2017 | 5 | 2017 |
| Validation of simulation-based testing: Bypassing domain shift with label-to-image synthesis J Rosenzweig, E Brito, HU Kobialka, M Akila, NM Schmidt, P Schlicht, ... 2021 IEEE Intelligent Vehicles Symposium Workshops (IV Workshops), 182-189, 2021 | 4 | 2021 |
| Hybrid Ensemble Predictor as Quality Metric for German Text Summarization: Fraunhofer IAIS at GermEval 2020 Task 3 D Biesner, E Brito, LP Hillebrand, R Sifa 5th Swiss Text Analytics Conference (SwissText) & 16th Conference on Natural …, 2020 | 4 | 2020 |
| Fraunhofer IAIS at FinCausal 2020, tasks 1 & 2: using ensemble methods and sequence tagging to detect causality in financial documents M Pielka, R Ramamurthy, A Ladi, E Brito, C Chapman, P Mayer, R Sifa Proceedings of the 1st Joint Workshop on Financial Narrative Processing and …, 2020 | 3 | 2020 |
| Towards supervised extractive text summarization via RNN-based sequence classification E Brito, M Lübbering, D Biesner, LP Hillebrand, C Bauckhage arXiv preprint arXiv:1911.06121, 2019 | 3 | 2019 |
| Assessing the Performance Gain on Retail Article Categorization at the Expense of Explainability and Resource Efficiency E Brito, V Gupta, E Hahn, S Giesselbach German Conference on Artificial Intelligence (Künstliche Intelligenz), 45-52, 2022 | 2 | 2022 |
| The CLIN30 shared task: Have-doubling in historical varieties of Dutch M Schraagen, J Wall, E Brito Computational Linguistics in the Netherlands Journal 10, 161-178, 2020 | 2 | 2020 |
| MaxSimE: Explaining Transformer-based Semantic Similarity via Contextualized Best Matching Token Pairs E Brito, H Iser Proceedings of the 46th International ACM SIGIR Conference on Research and …, 2023 | 1 | 2023 |
| Learning Gaussian word representations with neural networks EAB Chacón Master's thesis, KU Leuven, 2016 | 1 | 2016 |
| Explainable Resource-Aware Representation Learning via Semantic Similarity EA Brito Chacón Universitäts-und Landesbibliothek Bonn, 2023 | | 2023 |
| Quantum Machine Learning. Eine Analyse zu Kompetenz, Forschung und Anwendung C Bauckhage, E Brito, I Daase, L Franken, B Georgiev, D Hecker, ... Fraunhofer IAIS, 2020 | | 2020 |
| Two Attempts to Predict Author Gender in Cross-Genre Settings in Dutch E Brito, R Sifa, C Bauckhage Shared Task on Cross-Genre Gender Prediction in Dutch at CLIN29, 2019 | | 2019 |
| Adiabatic Quantum Graph Clustering C Bauckhage, E Brito, K Cvejoski, C Ojeda, R Sifa | | |
Christian BauckhageProf. of Computer Science, University of Bonn, Fraunhofer IAISVerified email at bit.uni-bonn.de
