Spoken term detection from noisy input. - Gábor Gosztolya; György Kovács 001; László Tóth 001 (SACI, 2011)

Phone recognition experiments with 2D-DCT spectro-temporal features. - György Kovács 001; László Tóth 001 (SACI, 2011)

The Joint Optimization of Spectro-Temporal Features and Neural Net Classifiers. - György Kovács 001; László Tóth 001 (TSD, 2013)

Robust Multi-Band ASR Using Deep Neural Nets and Spectro-temporal Features. - György Kovács 001; László Tóth 001; Tamás Grósz (SPECOM, 2014)

Joint Optimization of Spectro-Temporal Features and Deep Neural Nets for Robust Automatic Speech Recognition. - György Kovács 001; László Tóth 001 (Acta Cybern., 2015)

Selection and enhancement of Gabor filters for automatic speech recognition. - György Kovács 001; László Tóth 001; Dirk Van Compernolle (Int. J. Speech Technol., 2015)

Topical unit classification using deep neural nets and probabilistic sampling. - György Kovács 001; Tamás Grósz; Tamás Váradi (CogInfoCom, 2016)

Classification of Formal and Informal Dialogues Based on Turn-Taking and Intonation Using Deep Neural Networks. - István Szekrényes; György Kovács 001 (SPECOM, 2017)

Increasing the robustness of CNN acoustic models using autoregressive moving average spectrogram features and channel dropout. - György Kovács 001; László Tóth 001; Dirk Van Compernolle; Sriram Ganapathy (Pattern Recognit. Lett., 2017)

Human-human, human-machine communication: on the HuComTech multimodal corpus. - László Hunyadi; Tamás Váradi; György Kovács 001; István Szekrényes; Hermina Kiss; Karolina Takács (CLARIN Annual Conference, 2018)

Multi-Band Processing With Gabor Filters and Time Delay Neural Nets for Noise Robust Speech Recognition. - György Kovács 001; László Tóth 001; Gábor Gosztolya (SLT, 2018)

A Perceptually Inspired Data Augmentation Method for Noise Robust CNN Acoustic Models. - László Tóth 001; György Kovács 001; Dirk Van Compernolle (SPECOM, 2018)

Classification of Formal and Informal Dialogues Based on Emotion Recognition Features. - György Kovács 001 (TSD, 2018)

Noise Robust Automatic Speech Recognition Based on Spectro-Temporal Techniques - György Kovács 001 (2018)

Using Deep Rectifier Neural Nets and Probabilistic Sampling for Topical Unit Classification. - György Kovács 001; Tamás Grósz; Tamás Váradi (Cognitive Infocommunications, Theory and Applications, 2019)

Author Profiling using Semantic and Syntactic Features. - György Kovács 001; Vanda Balogh; Purvanshi Mehta; Kumar Shridhar; Pedro Alonso; Marcus Liwicki (CLEF (Working Notes), 2019)

TheNorth at HASOC 2019: Hate Speech Detection in Social Media Data. - Pedro Alonso; Rajkumar Saini; György Kovács 001 (FIRE (Working Notes), 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 001; Foteini Simistira; Marcus Liwicki (IJCNN, 2019)

Examining the Combination of Multi-Band Processing and Channel Dropout for Robust Speech Recognition. - György Kovács 001; László Tóth 001; Dirk Van Compernolle; Marcus Liwicki (INTERSPEECH, 2019)

Cross-Encoded Meta Embedding towards Transfer Learning. - György Kovács 001; Rickard Brännvall; Johan Öhman; Marcus Liwicki (ESANN, 2020)

TheNorth at SemEval-2020 Task 12: Hate Speech Detection Using RoBERTa. - Pedro Alonso; Rajkumar Saini; György Kovács 001 (SemEval@COLING, 2020)

Hate Speech Detection Using Transformer Ensembles on the HASOC Dataset. - Pedro Alonso; Rajkumar Saini; György Kovács 001 (SPECOM, 2020)

Defining Beneficiaries of Emerging Data Infrastructures Towards Effective Data Appropriation - Insights from the Swedish Space Data Lab. - Aya Rizk; Cathrine F. Seidelin; György Kovács 001; Marcus Liwicki; Rickard Brännvall (ICIST, 2021)

Detecting COVID-19 from Audio Recording of Coughs Using Random Forests and Support Vector Machines. - Isabella Södergren; Maryam Pahlavan Nodeh; Prakash Chandra Chhipa; Konstantina Nikolaidou; György Kovács 001 (Interspeech, 2021)

UCL: Unsupervised Curriculum Learning for water body classification from remote sensing imagery. - Nosheen Abid; Muhammad Shahzad 002; Muhammad Imran Malik; Ulrich Schwanecke; Adrian Ulges; György Kovács 001; Faisal Shafait (Int. J. Appl. Earth Obs. Geoinformation, 2021)

Challenges of Hate Speech Detection in Social Media. - György Kovács 001; Pedro Alonso; Rajkumar Saini (SN Comput. Sci., 2021)

Emotions Classification Using EEG in Health Care. - Sumit Rakesh; Foteini Liwicki; Hamam Mokayed; Richa Upadhyay; Prakash Chandra Chhipa; Vibha Gupta; Kanjar De; György Kovács 001; Dinesh Singh; Rajkumar Saini (CVMI, 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 001 (FIRE (Working Notes), 2022)

HaT5: Hate Language Identification using Text-to-Text Transfer Transformer. - Sana Sabah Sabry; Tosin P. Adewumi; Nosheen Abid; György Kovács 001; Foteini Liwicki; Marcus Liwicki (IJCNN, 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 001 (LT-EDI, 2022)

Leveraging external resources for offensive content detection in social media. - György Kovács 001; Pedro Alonso; Rajkumar Saini; Marcus Liwicki (AI Commun., 2022)

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 001; Filip Nilsson; Tosin P. Adewumi; Marcus Liwicki (SemEval@ACL, 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 001; Anders Persson (CoRR, 2023)

Seagrass classification using unsupervised curriculum learning (UCL). - Nosheen Abid; Md Kislu Noman; György Kovács 001; Syed Mohammed Shamsul Islam; Tosin P. Adewumi; Paul Lavery; Faisal Shafait; Marcus Liwicki (Ecol. Informatics, 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 001; Anders Persson (Remote. Sens., 2024)