György Kovács

38 papers A 2B 3Misc 2Journal 11Unranked 18

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Creating and Leveraging a Synthetic Dataset of Cloud Optical Thickness Measures for Cloud Detection in MSI. Remote. Sens. Aleksis Pirinen, Nosheen Abid, Nuria Agues Paszkowsky, Thomas Ohlson Timoudas, Ronald Scheirer, Chiara Ceccobello, György Kovács, Anders Persson
2024	—	`conf`	Detection of Hate Speech using Universal Sentence Encoding and Bidirectional Long Short-Term Memory Models. FIRE (Working Notes) Pedro Alonso, György Kovács, Rajkumar Saini, Marcus Liwicki
2024	J	`jnl`	Seagrass classification using unsupervised curriculum learning (UCL). Ecol. Informatics Nosheen Abid, Md Kislu Noman, György Kovács, Syed Mohammed Shamsul Islam, Tosin P. Adewumi, Paul Lavery, Faisal Shafait, Marcus Liwicki
2023	J	`jnl`	Creating and Benchmarking a Synthetic Dataset for Cloud Optical Thickness Estimation. CoRR Aleksis Pirinen, Nosheen Abid, Nuria Agues Paszkowsky, Thomas Ohlson Timoudas, Ronald Scheirer, Chiara Ceccobello, György Kovács, Anders Persson
2023	—	`conf`	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. SemEval@ACL Sana Sabah Al-Azzawi, György Kovács, Filip Nilsson, Tosin P. Adewumi, Marcus Liwicki
2023	J	`jnl`	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. CoRR Sana Sabah Al-Azzawi, György Kovács, Filip Nilsson, Tosin P. Adewumi, Marcus Liwicki
2022	—	`conf`	Emotions Classification Using EEG in Health Care. CVMI Sumit Rakesh, Foteini Liwicki, Hamam Mokayed, Richa Upadhyay, Prakash Chandra Chhipa, Vibha Gupta, Kanjar De, György Kovács, Dinesh Singh, Rajkumar Saini
2022	—	`conf`	FilipN@LT-EDI-ACL2022-Detecting signs of Depression from Social Media: Examining the use of summarization methods as data augmentation for text classification. LT-EDI Filip Nilsson, György Kovács
2022	B	`conf`	HaT5: Hate Language Identification using Text-to-Text Transfer Transformer. IJCNN Sana Sabah Sabry, Tosin P. Adewumi, Nosheen Abid, György Kovács, Foteini Liwicki, Marcus Liwicki
2022	J	`jnl`	HaT5: Hate Language Identification using Text-to-Text Transfer Transformer. CoRR Sana Sabah Sabry, Tosin P. Adewumi, Nosheen Abid, György Kovács, Foteini Liwicki, Marcus Liwicki
2022	—	`conf`	Leveraging Sentiment Data for the Detection of Homophobic/Transphobic Content in a Multi-Task, Multi-Lingual Setting Using Transformers. FIRE (Working Notes) Filip Nilsson, Sana Sabah Al-Azzawi, György Kovács
2022	J	`jnl`	Leveraging external resources for offensive content detection in social media. AI Commun. György Kovács, Pedro Alonso, Rajkumar Saini, Marcus Liwicki
2021	J	`jnl`	Challenges of Hate Speech Detection in Social Media. SN Comput. Sci. György Kovács, Pedro Alonso, Rajkumar Saini
2021	—	`conf`	Defining Beneficiaries of Emerging Data Infrastructures Towards Effective Data Appropriation - Insights from the Swedish Space Data Lab. ICIST Aya Rizk, Cathrine F. Seidelin, György Kovács, Marcus Liwicki, Rickard Brännvall
2021	A	`conf`	Detecting COVID-19 from Audio Recording of Coughs Using Random Forests and Support Vector Machines. Interspeech Isabella Södergren, Maryam Pahlavan Nodeh, Prakash Chandra Chhipa, Konstantina Nikolaidou, György Kovács
2021	J	`jnl`	UCL: Unsupervised Curriculum Learning for water body classification from remote sensing imagery. Int. J. Appl. Earth Obs. Geoinformation Nosheen Abid, Muhammad Shahzad, Muhammad Imran Malik, Ulrich Schwanecke, Adrian Ulges, György Kovács, Faisal Shafait
2020	B	`conf`	Cross-Encoded Meta Embedding towards Transfer Learning. ESANN György Kovács, Rickard Brännvall, Johan Öhman, Marcus Liwicki
2020	—	`conf`	Hate Speech Detection Using Transformer Ensembles on the HASOC Dataset. SPECOM Pedro Alonso, Rajkumar Saini, György Kovács
2020	—	`conf`	TheNorth at SemEval-2020 Task 12: Hate Speech Detection Using RoBERTa. SemEval@COLING Pedro Alonso, Rajkumar Saini, György Kovács
2019	—	`conf`	Author Profiling using Semantic and Syntactic Features. CLEF (Working Notes) György Kovács, Vanda Balogh, Purvanshi Mehta, Kumar Shridhar, Pedro Alonso, Marcus Liwicki
2019	A	`conf`	Examining the Combination of Multi-Band Processing and Channel Dropout for Robust Speech Recognition. INTERSPEECH György Kovács, László Tóth, Dirk Van Compernolle, Marcus Liwicki
2019	B	`conf`	Subword Semantic Hashing for Intent Classification on Small Datasets. IJCNN Kumar Shridhar, Ayushman Dash, Amit Sahu, Gustav Grund Pihlgren, Pedro Alonso, Vinaychandran Pondenkandath, György Kovács, Foteini Simistira, Marcus Liwicki
2019	—	`conf`	TheNorth at HASOC 2019: Hate Speech Detection in Social Media Data. FIRE (Working Notes) Pedro Alonso, Rajkumar Saini, György Kovács
2019	—	`ch.`	Using Deep Rectifier Neural Nets and Probabilistic Sampling for Topical Unit Classification. Cognitive Infocommunications, Theory and Applications György Kovács, Tamás Grósz, Tamás Váradi
2018	—	`conf`	A Perceptually Inspired Data Augmentation Method for Noise Robust CNN Acoustic Models. SPECOM László Tóth, György Kovács, Dirk Van Compernolle
2018	—	`conf`	Classification of Formal and Informal Dialogues Based on Emotion Recognition Features. TSD György Kovács
2018	—	`conf`	Human-human, human-machine communication: on the HuComTech multimodal corpus. CLARIN Annual Conference László Hunyadi, Tamás Váradi, György Kovács, István Szekrényes, Hermina Kiss, Karolina Takács
2018	—	`conf`	Multi-Band Processing With Gabor Filters and Time Delay Neural Nets for Noise Robust Speech Recognition. SLT György Kovács, László Tóth, Gábor Gosztolya
2018	—	`—`	Noise Robust Automatic Speech Recognition Based on Spectro-Temporal Techniques György Kovács
2017	—	`conf`	Classification of Formal and Informal Dialogues Based on Turn-Taking and Intonation Using Deep Neural Networks. SPECOM István Szekrényes, György Kovács
2017	J	`jnl`	Increasing the robustness of CNN acoustic models using autoregressive moving average spectrogram features and channel dropout. Pattern Recognit. Lett. György Kovács, László Tóth, Dirk Van Compernolle, Sriram Ganapathy
2016	—	`conf`	Topical unit classification using deep neural nets and probabilistic sampling. CogInfoCom György Kovács, Tamás Grósz, Tamás Váradi
2015	J	`jnl`	Joint Optimization of Spectro-Temporal Features and Deep Neural Nets for Robust Automatic Speech Recognition. Acta Cybern. György Kovács, László Tóth
2015	J	`jnl`	Selection and enhancement of Gabor filters for automatic speech recognition. Int. J. Speech Technol. György Kovács, László Tóth, Dirk Van Compernolle
2014	—	`conf`	Robust Multi-Band ASR Using Deep Neural Nets and Spectro-temporal Features. SPECOM György Kovács, László Tóth, Tamás Grósz
2013	—	`conf`	The Joint Optimization of Spectro-Temporal Features and Neural Net Classifiers. TSD György Kovács, László Tóth
2011	Misc	`conf`	Phone recognition experiments with 2D-DCT spectro-temporal features. SACI György Kovács, László Tóth
2011	Misc	`conf`	Spoken term detection from noisy input. SACI Gábor Gosztolya, György Kovács, László Tóth