| Chargrid: Towards understanding 2d documents AR Katti, C Reisswig, C Guder, S Brarda, S Bickel, J Höhne, JB Faddoul arXiv preprint arXiv:1809.08799, 2018 | 220 | 2018 |
| Amazon SageMaker Autopilot: a white box AutoML solution at scale P Das, V Perrone, N Ivkin, T Bansal, Z Karnin, H Shen, I Shcherbatyi, ... Proceedings of the Fourth International Workshop on Data Management for End …, 2020 | 76 | 2020 |
| Boosting multi-task weak learners with applications to textual and social data JB Faddoul, B Chidlovskii, F Torre, R Gilleron 2010 Ninth International Conference on Machine Learning and Applications …, 2010 | 32 | 2010 |
| Amazon sagemaker automatic model tuning: Scalable gradient-free optimization V Perrone, H Shen, A Zolic, I Shcherbatyi, A Ahmed, T Bansal, M Donini, ... Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | 30* | 2021 |
| Learning multiple tasks with boosted decision trees JB Faddoul, B Chidlovskii US Patent 8,694,444, 2014 | 29 | 2014 |
| Learning multiple tasks with boosted decision trees JB Faddoul, B Chidlovskii, R Gilleron, F Torre Machine Learning and Knowledge Discovery in Databases: European Conference …, 2012 | 28 | 2012 |
| Two-dimensional document processing C Reisswig, AR Katti, S Bickel, J Hoehne, JB Faddoul US Patent 10,540,579, 2020 | 23 | 2020 |
| Automatic termination for hyperparameter optimization A Makarova, H Shen, V Perrone, A Klein, JB Faddoul, A Krause, ... International Conference on Automated Machine Learning, 7/1-21, 2022 | 22 | 2022 |
| Multi-task machine learning using features bagging and local relatedness in the instance space JB Faddoul, B Chidlovskii US Patent 8,954,357, 2015 | 18 | 2015 |
| Overfitting in Bayesian optimization: an empirical study and early-stopping solution A Makarova, H Shen, V Perrone, A Klein, JB Faddoul, A Krause, ... 2nd Workshop on Neural Architecture Search (NAS 2021 collocated with the 9th …, 2021 | 13 | 2021 |
| Method to preserve the place of parentheses and tags in statistical machine translation systems JB Faddoul, F Pacull US Patent 8,280,718, 2012 | 12 | 2012 |
| Applying Sequence-to-Mask Models for Information Extraction from Invoices AR Katti, J Hoehne, S Bickel, JB Faddoul 13th IAPR International Workshop on Document Analysis Systems, Short Papers …, 2018 | 7 | 2018 |
| Two-dimensional document processing C Reisswig, AR Katti, S Bickel, J Hoehne, JB Faddoul US Patent 11,244,208, 2022 | | 2022 |
| Chargrid: Towards Understanding 2D Documents A Raveendra Katti, C Reisswig, C Guder, S Brarda, S Bickel, J Höhne, ... arXiv e-prints, arXiv: 1809.08799, 2018 | | 2018 |
| Méthodes d’ensembles pour l’apprentissage multi-tâche avec des tâches hétérogènes et sans restrictions JB Faddoul Université Charles de Gaulle-Lille III, 2012 | | 2012 |
| Méthodes d'ensembles pour l'apprentissage multi-tâche avec des tâches hétérogènes et sans restrictions.(Ensemble Methods to Learn Multiple Heterogenous Tasks without Restrictions). JB Faddoul Charles de Gaulle University, Lille, France, 2012 | | 2012 |
| Applying Markov logic to document annotation, citation deduplication. JB Faddoul, B Chidlovskii EGC, 435-440, 2010 | | 2010 |
| Sharing the Collective Intelligence between E-mail Applications B Chidlovskii, JB Faddoul | | 2010 |
| Learning Many Tasks with Adaboost JB Faddoul, B Chidlovskii, F Torre, R Gilleron | | |
| Ensemble Methods to Learn Multiple Heterogenous Tasks without Restrictions. JB Faddoul | | |
Johannes HöhneData Science @ BayerVerified email at bayer.com
