| Challenges of Hate Speech Detection in Social Media G Kovács, P Alonso, R Saini SN Computer Science 2 (2), 1-15, 2021 | 59 | 2021 |
| Increasing the robustness of CNN acoustic models using autoregressive moving average spectrogram features and channel dropout G Kovács, L Tóth, D Van Compernolle, S Ganapathy Pattern Recognition Letters 100, 44-50, 2017 | 40 | 2017 |
| Subword Semantic Hashing for Intent Classification on Small Datasets K Shridhar, A Dash, A Sahu, GG Pihlgren, P Alonso, V Pondenkandath, ... 2019 International Joint Conference on Neural Networks (IJCNN), 1-6, 2019 | 35 | 2019 |
| Hate Speech Detection Using Transformer Ensembles on the HASOC Dataset P Alonso, R Saini, G Kovács International Conference on Speech and Computer, 13-21, 2020 | 21 | 2020 |
| A Perceptually Inspired Data Augmentation Method for Noise Robust CNN Acoustic Models L Tóth, G Kovács, D Van Compernolle International Conference on Speech and Computer, 697-706, 2018 | 19 | 2018 |
| Joint optimization of spectro-temporal features and Deep Neural Nets for robust automatic speech recognition G Kovács, L Tóth Acta Cybernetica 22 (1), 117-134, 2015 | 18 | 2015 |
| Topical unit classification using deep neural nets and probabilistic sampling G Kovács, T Grósz, T Váradi 2016 7th IEEE International Conference on Cognitive Infocommunications …, 2016 | 15 | 2016 |
| Selection and enhancement of Gabor filters for automatic speech recognition G Kovács, L Tóth, D Van Compernolle International Journal of Speech Technology 18 (1), 1-16, 2015 | 14 | 2015 |
| UCL: Unsupervised Curriculum Learning for water body classification from remote sensing imagery N Abid, M Shahzad, MI Malik, U Schwanecke, A Ulges, G Kovács, ... International Journal of Applied Earth Observation and Geoinformation 105 …, 2021 | 12 | 2021 |
| The joint optimization of spectro-temporal features and neural net classifiers G Kovács, L Tóth International Conference on Text, Speech and Dialogue, 552-559, 2013 | 12 | 2013 |
| Detecting COVID-19 from audio recording of coughs using Random Forests and Support Vector Machines I Södergren, MP Nodeh, PC Chhipa, K Nikolaidou, G Kovács Interspeech 2021, Brno, Czechia, 30 August-3 September, 2021, 916-920, 2021 | 11 | 2021 |
| Új eredmények a mély neuronhálós magyar nyelvű beszédfelismerésben T Grósz, G Kovács, L Tóth Szegedi Tudományegyetem Informatikai Tanszékcsoport, 2014 | 11 | 2014 |
| TheNorth@ HaSpeeDe 2: BERT-based Language Model Fine-tuning for Italian Hate Speech Detection E Lavergne, R Saini, G Kovács, K Murphy Seventh Evaluation Campaign of Natural Language Processing and Speech Tools …, 2020 | 10 | 2020 |
| Phone recognition experiments with 2D-DCT spectro-temporal features G Kovács, L Tóth 2011 6th IEEE International Symposium on Applied Computational Intelligence …, 2011 | 10 | 2011 |
| Human-human, human-machine communication: on the HuComTech multimodal corpus L Hunyadi, T Váradi, G Kovács, I Szekrényes, H Kiss, K Takács Linköping University Electronic Press, Linköpings universitet, 2018 | 8 | 2018 |
| Classification of Formal and Informal Dialogues Based on Turn-Taking and Intonation Using Deep Neural Networks I Szekrényes, G Kovács International Conference on Speech and Computer, 233-243, 2017 | 7 | 2017 |
| Localized spectro-temporal features for noise-robust speech recognition G Kovács, L Tóth 2010 International Joint Conference on Computational Cybernetics and …, 2010 | 7 | 2010 |
| TheNorth at HASOC 2019: Hate Speech Detection in Social Media Data. P Alonso, R Saini, G Kovács FIRE (Working Notes), 293-299, 2019 | 5 | 2019 |
| Robust multi-band ASR using Deep Neural Nets and spectro-temporal features G Kovács, L Tóth, T Grósz International Conference on Speech and Computer, 386-393, 2014 | 5 | 2014 |
| Hat5: Hate language identification using text-to-text transfer transformer SS Sabry, T Adewumi, N Abid, G Kovács, F Liwicki, M Liwicki arXiv preprint arXiv:2202.05690, 2022 | 4 | 2022 |
Laszlo TothResearch Group on Artificial IntelligenceПотвърден имейл адрес: inf.u-szeged.hu
