| QAnswer-Enhanced Entity Matching for Question Answering over Linked Data. S Ruseti, A Mirea, T Rebedea, S Trausan-Matu CLEF (Working Notes), 28-35, 2015 | 32 | 2015 |
| ReaderBench: a multi-lingual framework for analyzing text complexity M Dascalu, G Gutu, S Ruseti, IC Paraschiv, P Dessus, DS McNamara, ... European Conference on Technology Enhanced Learning, 495-499, 2017 | 19 | 2017 |
| Artificial intelligence moving serious gaming: Presenting reusable game AI components W Westera, R Prada, S Mascarenhas, PA Santos, J Dias, M Guimarães, ... Education and Information Technologies 25 (1), 351-380, 2020 | 13 | 2020 |
| Automated essay scoring in applied games: Reducing the teacher bandwidth problem in online training W Westera, M Dascalu, H Kurvers, S Ruseti, S Trausan-Matu Computers & Education 123, 212-224, 2018 | 12 | 2018 |
| Scoring summaries using recurrent neural networks S Ruseti, M Dascalu, AM Johnson, DS McNamara, R Balyan, ... International Conference on Intelligent Tutoring Systems, 191-201, 2018 | 11 | 2018 |
| ReaderBench Learns Dutch: Building a Comprehensive Automated Essay Scoring System for Dutch Language M Dascalu, W Westera, S Ruseti, S Trausan-Matu, H Kurvers International Conference on Artificial Intelligence in Education, 52-63, 2017 | 11 | 2017 |
| Authorship Identification Using a Reduced Set of Linguistic Features. S Ruseti, T Rebedea CLEF (Online Working Notes/Labs/Workshop), 1-4, 2012 | 11 | 2012 |
| Predicting question quality using recurrent neural networks S Ruseti, M Dascalu, AM Johnson, R Balyan, KJ Kopp, DS McNamara, ... International conference on artificial intelligence in education, 491-502, 2018 | 10 | 2018 |
| Sentence selection with neural networks using string kernels M Masala, S Ruseti, T Rebedea Procedia Computer Science 112, 1774-1782, 2017 | 10 | 2017 |
| Robert–a romanian bert model M Masala, S Ruseti, M Dascalu Proceedings of the 28th International Conference on Computational …, 2020 | 8 | 2020 |
| Answering questions by learning to rank--Learning to rank by answering questions GS Pîrtoacă, T Rebedea, S Ruseti arXiv preprint arXiv:1909.00596, 2019 | 8 | 2019 |
| Improving deep learning for multiple choice question answering with candidate contexts B Nicula, S Ruseti, T Rebedea European Conference on Information Retrieval, 678-683, 2018 | 8 | 2018 |
| Cohesion-Centered Analysis of Sociograms for Online Communities and Courses Using ReaderBench M Dascalu, MD Sirbu, G Gutu-Robu, S Ruseti, SA Crossley, ... European Conference on Technology Enhanced Learning, 622-626, 2018 | 7 | 2018 |
| Natural language interface for databases using a Dual-Encoder model IA Hosu, RCA Iacob, F Brad, S Ruseti, T Rebedea Proceedings of the 27th International Conference on Computational …, 2018 | 7 | 2018 |
| Conversational Agent that Models a Historical Personality. A Bogatu, D Rotarescu, T Rebedea, S Ruseti RoCHI, 81-86, 2015 | 7 | 2015 |
| Extracting Gamers' Opinions from Reviews D Sirbu, A Secui, M Dascalu, SA Crossley, S Ruseti, S Trausan-Matu 2016 18th International Symposium on Symbolic and Numeric Algorithms for …, 2016 | 6 | 2016 |
| A Literature Review of NLP Approaches to Fake News Detection and Their Applicability to RomanianLanguage News Analysis. C Busioc, S Ruseti, M Dascalu Revista Transilvania, 2020 | 4 | 2020 |
| Unlocking the power of word2vec for identifying implicit links G Gutu, M Dascalu, S Ruseti, T Rebedea, S Trausan-Matu 2017 IEEE 17th International Conference on Advanced Learning Technologies …, 2017 | 4 | 2017 |
| Expressing sentiments in game reviews A Secui, MD Sirbu, M Dascalu, S Crossley, S Ruseti, S Trausan-Matu International conference on artificial intelligence: Methodology, systems …, 2016 | 4 | 2016 |
| Improving retrieval-based question answering with deep inference models GS Pîrtoacă, T Rebedea, Ș Rușeți 2019 International Joint Conference on Neural Networks (IJCNN), 1-8, 2019 | 3 | 2019 |
