György Kovács

发表

MULTI-BAND PROCESSINGWITH GABOR FILTERS AND TIME DELAY NEURAL NETS FOR NOISE ROBUST SPEECH RECOGNITION

L. Tóth, G. Gosztolya, György Kovács, 2018 .

Leveraging external resources for offensive content detection in social media

Rajkumar Saini, György Kovács, Pedro Alonso, 2022, AI Communications.

Pedagogical Principles in the Online Teaching of Text Mining: A Retrospection

Marcus Liwicki, Hamam Mokayed, Rajkumar Saini, 2021, TEACHINGNLP.

Classification of Formal and Informal Dialogues Based on Turn-Taking and Intonation Using Deep Neural Networks

György Kovács, István Szekrényes, György Kovács, 2017, SPECOM.

Selection and enhancement of Gabor filters for automatic speech recognition

György Kovács, Dirk Van Compernolle, László Tóth, 2015, Int. J. Speech Technol..

An empirical comparison and evaluation of minority oversampling techniques on a large number of imbalanced datasets

György Kovács, György Kovács, 2019, Appl. Soft Comput..

Challenges of Hate Speech Detection in Social Media

Rajkumar Saini, György Kovács, Pedro Alonso, 2021, SN Computer Science.

Hate Speech Detection Using Transformer Ensembles on the HASOC Dataset

Rajkumar Saini, György Kovács, Pedro Alonso, 2020, SPECOM.

Defining Beneficiaries of Emerging Data Infrastructures Towards Effective Data Appropriation - Insights from the Swedish Space Data Lab

M. Liwicki, György Kovács, Cathrine Seidelin, 2021, ICIST.

Joint Optimization of Spectro-Temporal Features and Deep Neural Nets for Robust Automatic Speech Recognition

György Kovács, László Tóth, L. Tóth, 2015, Acta Cybern..

Increasing the robustness of CNN acoustic models using autoregressive moving average spectrogram features and channel dropout

Dirk Van Compernolle, György Kovács, Sriram Ganapathy, 2017, Pattern Recognit. Lett..

TheNorth at HASOC 2019: Hate Speech Detection in Social Media Data

Pedro Alonso, György Kovács, Rajkumar Saini, 2019, FIRE.

Smote-variants: A python implementation of 85 minority oversampling techniques

György Kovács, György Kovács, 2019, Neurocomputing.

FilipN@LT-EDI-ACL2022-Detecting signs of Depression from Social Media: Examining the use of summarization methods as data augmentation for text classification

György Kovács, Filip Nilsson, 2022, LTEDI.

HaT5: Hate Language Identification using Text-to-Text Transfer Transformer

Tosin P. Adewumi, M. Liwicki, F. Liwicki, 2022, 2022 International Joint Conference on Neural Networks (IJCNN).

Improving the Performance of the k Rare Class Nearest Neighbor Classifier by the Ranking of Point Patterns

György Kovács, Levente Török, Zsolt László, 2018, FoIKS.

TheNorth @ HaSpeeDe 2: BERT-based Language Model Fine-tuning for Italian Hate Speech Detection (short paper)

Rajkumar Saini, György Kovács, Eric Lavergne, 2020, EVALITA.

Multi-Band Processing With Gabor Filters and Time Delay Neural Nets for Noise Robust Speech Recognition

György Kovács, Gábor Gosztolya, László Tóth, 2018, 2018 IEEE Spoken Language Technology Workshop (SLT).

Human-human, human-machine communication: on the HuComTech multimodal corpus

György Kovács, István Szekrényes, Laszlo Hunyadi, 2019, CLARIN Annual Conference.

Vegetation and Drought Trends in Sweden’s Mälardalen Region – Year-on-Year Comparison by Gaussian Process Regression

M. Liwicki, M. Milz, György Kovács, 2020, 2020 Swedish Workshop on Data Science (SweDS).