György Kovács

According to our database, György Kovács authored at least 34 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Creating and Leveraging a Synthetic Dataset of Cloud Optical Thickness Measures for Cloud Detection in MSI.

Aleksis Pirinen, Nosheen Abid, Nuria Agues Paszkowsky, Thomas Ohlson Timoudas, Ronald Scheirer, Chiara Ceccobello, György Kovács, Anders Persson

Remote. Sens., February, 2024

Seagrass classification using unsupervised curriculum learning (UCL).

Nosheen Abid, Md Kislu Noman, György Kovács, Syed Mohammed Shamsul Islam, Tosin P. Adewumi, Paul Lavery, Faisal Shafait, Marcus Liwicki

Ecol. Informatics, 2024

2023

Creating and Benchmarking a Synthetic Dataset for Cloud Optical Thickness Estimation.

Aleksis Pirinen, Nosheen Abid, Nuria Agues Paszkowsky, Thomas Ohlson Timoudas, Ronald Scheirer, Chiara Ceccobello, György Kovács, Anders Persson

CoRR, 2023

NLP-LTU at SemEval-2023 Task 10: The Impact of Data Augmentation and Semi-Supervised Learning Techniques on Text Classification Performance on an Imbalanced Dataset.

Sana Sabah Al-Azzawi, György Kovács, Filip Nilsson, Tosin P. Adewumi, Marcus Liwicki

Proceedings of the The 17th International Workshop on Semantic Evaluation, 2023

2022

Leveraging external resources for offensive content detection in social media.

György Kovács, Pedro Alonso, Rajkumar Saini, Marcus Liwicki

AI Commun., 2022

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

Filip Nilsson, György Kovács

Proceedings of the Second Workshop on Language Technology for Equality, 2022

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

Sana Sabah Sabry, Tosin P. Adewumi, Nosheen Abid, György Kovács, Foteini Liwicki, Marcus Liwicki

Proceedings of the International Joint Conference on Neural Networks, 2022

Leveraging Sentiment Data for the Detection of Homophobic/Transphobic Content in a Multi-Task, Multi-Lingual Setting Using Transformers.

Filip Nilsson, Sana Sabah Al-Azzawi, György Kovács

Proceedings of the Working Notes of FIRE 2022, 2022

Emotions Classification Using EEG in Health Care.

Sumit Rakesh, Foteini Liwicki, Hamam Mokayed, Richa Upadhyay, Prakash Chandra Chhipa, Vibha Gupta, Kanjar De, György Kovács, Dinesh Singh, Rajkumar Saini

Proceedings of the Computer Vision and Machine Intelligence, 2022

2021

Challenges of Hate Speech Detection in Social Media.

György Kovács, Pedro Alonso, Rajkumar Saini

SN Comput. Sci., 2021

UCL: Unsupervised Curriculum Learning for water body classification from remote sensing imagery.

Nosheen Abid, Muhammad Shahzad, Muhammad Imran Malik, Ulrich Schwanecke, Adrian Ulges, György Kovács, Faisal Shafait

Int. J. Appl. Earth Obs. Geoinformation, 2021

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

Aya Rizk, Cathrine F. Seidelin, György Kovács, Marcus Liwicki, Rickard Brännvall

Proceedings of the Information and Software Technologies - 27th International Conference, 2021

2020

Hate Speech Detection Using Transformer Ensembles on the HASOC Dataset.

Pedro Alonso, Rajkumar Saini, György Kovács

Proceedings of the Speech and Computer - 22nd International Conference, 2020

TheNorth at SemEval-2020 Task 12: Hate Speech Detection Using RoBERTa.

Pedro Alonso, Rajkumar Saini, György Kovács

Proceedings of the Fourteenth Workshop on Semantic Evaluation, 2020

Cross-Encoded Meta Embedding towards Transfer Learning.

György Kovács, Rickard Brännvall, Johan Öhman, Marcus Liwicki

Proceedings of the 28th European Symposium on Artificial Neural Networks, 2020

2019

Examining the Combination of Multi-Band Processing and Channel Dropout for Robust Speech Recognition.

György Kovács, László Tóth, Dirk Van Compernolle, Marcus Liwicki

Proceedings of the 20th Annual Conference of the International Speech Communication Association, 2019

Subword Semantic Hashing for Intent Classification on Small Datasets.

Kumar Shridhar, Ayushman Dash, Amit Sahu, Gustav Grund Pihlgren, Pedro Alonso, Vinaychandran Pondenkandath, György Kovács, Foteini Simistira, Marcus Liwicki

Proceedings of the International Joint Conference on Neural Networks, 2019

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

Pedro Alonso, Rajkumar Saini, György Kovács

Proceedings of the Working Notes of FIRE 2019, 2019

Author Profiling using Semantic and Syntactic Features.

György Kovács, Vanda Balogh, Purvanshi Mehta, Kumar Shridhar, Pedro Alonso, Marcus Liwicki

Proceedings of the Working Notes of CLEF 2019, 2019

Using Deep Rectifier Neural Nets and Probabilistic Sampling for Topical Unit Classification.

György Kovács, Tamás Grósz, Tamás Váradi

Proceedings of the Cognitive Infocommunications, Theory and Applications, 2019

2018

Noise Robust Automatic Speech Recognition Based on Spectro-Temporal Techniques

György Kovács

PhD thesis, 2018

Classification of Formal and Informal Dialogues Based on Emotion Recognition Features.

György Kovács

Proceedings of the Text, Speech, and Dialogue - 21st International Conference, 2018

A Perceptually Inspired Data Augmentation Method for Noise Robust CNN Acoustic Models.

László Tóth, György Kovács, Dirk Van Compernolle

Proceedings of the Speech and Computer - 20th International Conference, 2018

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

György Kovács, László Tóth, Gábor Gosztolya

Proceedings of the 2018 IEEE Spoken Language Technology Workshop, 2018

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

László Hunyadi, Tamás Váradi, György Kovács, István Szekrényes, Hermina Kiss, Karolina Takács

Proceedings of the Selected papers from the CLARIN Annual Conference 2018, 2018

2017

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

György Kovács, László Tóth, Dirk Van Compernolle, Sriram Ganapathy

Pattern Recognit. Lett., 2017

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

István Szekrényes, György Kovács

Proceedings of the Speech and Computer - 19th International Conference, 2017

2016

Topical unit classification using deep neural nets and probabilistic sampling.

György Kovács, Tamás Grósz, Tamás Váradi

Proceedings of the 7th IEEE International Conference on Cognitive Infocommunications, 2016

2015

Selection and enhancement of Gabor filters for automatic speech recognition.

György Kovács, László Tóth, Dirk Van Compernolle

Int. J. Speech Technol., 2015

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

György Kovács, László Tóth

Acta Cybern., 2015

2014

Robust Multi-Band ASR Using Deep Neural Nets and Spectro-temporal Features.

György Kovács, László Tóth, Tamás Grósz

Proceedings of the Speech and Computer - 16th International Conference, 2014

2013

The Joint Optimization of Spectro-Temporal Features and Neural Net Classifiers.

György Kovács, László Tóth

Proceedings of the Text, Speech, and Dialogue - 16th International Conference, 2013

2011

Phone recognition experiments with 2D-DCT spectro-temporal features.

György Kovács, László Tóth

Proceedings of the 6th IEEE International Symposium on Applied Computational Intelligence and Informatics, 2011

Spoken term detection from noisy input.

Gábor Gosztolya, György Kovács, László Tóth

Proceedings of the 6th IEEE International Symposium on Applied Computational Intelligence and Informatics, 2011