| Using titles vs. full-text as source for automated semantic document annotation L Galke, F Mai, A Schelten, D Brunsch, A Scherp Proceedings of the Knowledge Capture Conference, 1-4, 2017 | 18* | 2017 |
| Using deep learning for title-based semantic subject indexing to reach competitive performance to full-text F Mai, L Galke, A Scherp Proceedings of the 18th ACM/IEEE on Joint Conference on Digital Libraries …, 2018 | 17 | 2018 |
| Optimizer benchmarking needs to account for hyperparameter tuning PT Sivaprasad, F Mai, T Vogels, M Jaggi, F Fleuret International Conference on Machine Learning, 9036-9045, 2020 | 7* | 2020 |
| Multi-modal adversarial autoencoders for recommendations of citations and subject labels L Galke, F Mai, I Vagliano, A Scherp Proceedings of the 26th Conference on User Modeling, Adaptation and …, 2018 | 7 | 2018 |
| CBOW is not all you need: Combining CBOW with the compositional matrix space model F Mai, L Galke, A Scherp arXiv preprint arXiv:1902.06423, 2019 | 3 | 2019 |
| Using Adversarial Autoencoders for Multi-Modal Automatic Playlist Continuation I Vagliano, L Galke, F Mai, A Scherp Proceedings of the ACM Recommender Systems Challenge 2018, 1-6, 2018 | 3 | 2018 |
| Plug and Play Autoencoders for Conditional Text Generation F Mai, N Pappas, I Montero, NA Smith, J Henderson arXiv preprint arXiv:2010.02983, 2020 | 1 | 2020 |
| Learning Entailment-Based Sentence Embeddings from Natural Language Inference RK Mahabadi, F Mai, J Henderson | | 2019 |
| Reranking-based Recommender System with Deep Learning A Saleh, F Mai, C Nishioka, A Scherp INFORMATIK 2017, 2017 | | 2017 |
Ansgar ScherpUniversity of Ulm, GermanyVerified email at ansgarscherp.net
