| Dare: Data augmented relation extraction with gpt-2 Y Papanikolaou, A Pierleoni arXiv preprint arXiv:2004.13845, 2020 | 79 | 2020 |
| Denoising autoencoder self-organizing map (DASOM) C Ferles, Y Papanikolaou, KJ Naidoo Neural Networks 105, 112-131, 2018 | 62 | 2018 |
| Dense distributions from sparse samples: improved Gibbs sampling parameter estimators for LDA Y Papanikolaou, JR Foulds, TN Rubin, G Tsoumakas Journal of Machine Learning Research 18 (62), 1-58, 2017 | 47 | 2017 |
| Deep Bidirectional Transformers for Relation Extraction without Supervision AP Papanikolaou, Yannis, Ian Roberts EMNLP-IJCNLP 2019 67, 2019 | 27* | 2019 |
| Ensemble Approaches for Large-Scale Multi-Label Classification and Question Answering in Biomedicine. Y Papanikolaou, D Dimitriadis, G Tsoumakas, M Laliotis, ... CLEF (Working Notes), 1348-1360, 2014 | 27 | 2014 |
| Large-scale online semantic indexing of biomedical articles via an ensemble of multi-label classification models Y Papanikolaou, G Tsoumakas, M Laliotis, N Markantonatos, I Vlahavas Journal of biomedical semantics 8, 1-13, 2017 | 25 | 2017 |
| Hierarchical partitioning of the output space in multi-label data Y Papanikolaou, G Tsoumakas, I Katakis Data & Knowledge Engineering 116, 42-60, 2018 | 24 | 2018 |
| Multi-label active learning: key issues and a novel query strategy EA Cherman, Y Papanikolaou, G Tsoumakas, MC Monard Evolving Systems 10, 63-78, 2019 | 19 | 2019 |
| Large-scale semantic indexing and question answering in biomedicine E Papagiannopoulou, Y Papanikolaou, D Dimitriadis, S Lagopoulos, ... Proceedings of the Fourth BioASQ workshop, 50-54, 2016 | 16 | 2016 |
| Slot filling for biomedical information extraction Y Papanikolaou, M Staib, J Grace, F Bennett arXiv preprint arXiv:2109.08564, 2021 | 13 | 2021 |
| Cancer types: RNA sequencing values from tumor samples/tissues KNC Ferles, Y Papanikolaou, K Naidoo Distributed by Mendeley, 2018 | 11 | 2018 |
| AUTH-Atypon at BioASQ 3: Large-Scale Semantic Indexing in Biomedicine. Y Papanikolaou, G Tsoumakas, M Laliotis, N Markantonatos, IP Vlahavas CLEF (Working Notes), 2015 | 9 | 2015 |
| Neural embedding allocation: Distributed representations of topic models KN Keya, Y Papanikolaou, JR Foulds Computational Linguistics 48 (4), 1021-1052, 2022 | 6 | 2022 |
| Subset labeled LDA: A topic model for extreme multi-label classification Y Papanikolaou, G Tsoumakas Big Data Analytics and Knowledge Discovery: 20th International Conference …, 2018 | 5 | 2018 |
| Subset labeled lda for large-scale multi-label classification Y Papanikolaou, G Tsoumakas arXiv preprint arXiv:1709.05480, 2017 | 5 | 2017 |
| Deep learning self-organizing map of convolutional layers C Ferles, Y Papanikolaou, SP Savaidis, SA Mitilineos Proceedings of the 2nd International Conference on Artificial Intelligence …, 2021 | 4 | 2021 |
| Deep self-organizing map of convolutional layers for clustering and visualizing image data C Ferles, Y Papanikolaou, SP Savaidis, SA Mitilineos Machine Learning and Knowledge Extraction 3 (4), 879-899, 2021 | 3 | 2021 |
| Improving Gibbs Sampling Predictions on Unseen Data for Latent Dirichlet Allocation Y Papanikolaou, T Rubin, GG Tsoumakas arXiv preprint arXiv:1505.02065, 2015 | 3 | 2015 |
| Teach me how to Label: Labeling Functions from Natural Language with Text-to-text Transformers Y Papanikolaou arXiv preprint arXiv:2101.07138, 2021 | 1 | 2021 |
| Discovery of multiple clinical candidates for treatment of Fragile X Syndrome using AI-Enabled drug discovery W Chadwick, I Angulo-Herrera, Z Tamas, A Lock, DJ Mason, ... Neuropharmacology, 2019 | 1 | 2019 |
Grigorios TsoumakasAristotle University of ThessalonikiVerified email at csd.auth.gr
