Contourlet Transform for Texture Representation of Ultrasound Thyroid Images. - Stamos Katsigiannis; Eystratios G. Keramidas; Dimitris Maroulis (AIAI, 2010)

A contourlet transform based algorithm for real-time video encoding. - Stamos Katsigiannis; Georgios Papaioannou 001; Dimitris Maroulis (Real-Time Image and Video Processing, 2012)

Enhancing the performance of a microarray gridding algorithm via GPU computing techniques. - Stamos Katsigiannis; Eleni Zacharia; Dimitris Maroulis (BIBE, 2013)

A GPU based real-time video compression method for video conferencing. - Stamos Katsigiannis; Dimitris Maroulis; Georgios Papaioannou 001 (DSP, 2013)

Parallel computing techniques for performance enhancement of a cDNA microarray gridding algorithm. - Stamos Katsigiannis; Dimitris Maroulis (ISSPIT, 2013)

FLBP: Fuzzy Local Binary Patterns. - Stamos Katsigiannis; Eystratios G. Keramidas; Dimitris Maroulis (Local Binary Patterns, 2013)

A custom grow-cut based scheme for 2D-gel image segmentation. - Eirini Kostopoulou; Stamos Katsigiannis; Dimitris Maroulis (EMBC, 2015)

A GPU vs CPU performance evaluation of an experimental video compression algorithm. - Stamos Katsigiannis; Vasilis Dimitsas; Dimitris Maroulis (QoMEX, 2015)

2D-gel spot detection and segmentation based on modified image-aware grow-cut and regional intensity information. - Eirini Kostopoulou; Stamos Katsigiannis; Dimitrios E. Maroulis (Comput. Methods Programs Biomed., 2015)

CVC: The Contourlet Video Compression algorithm for real-time applications. - Stamos Katsigiannis; Georgios Papaioannou 001; Dimitris Maroulis (CoRR, 2015)

Advanced GPU - based methods for analysis and processing of biomedical images and general purpose video - Stamos Katsigiannis (2016)

ES1D: A Deep Network for EEG-Based Subject Identification. - Pablo Arnau-González; Stamos Katsigiannis; Naeem Ramzan; Debbie Tolson; Miguel Arevalillo-Herráez (BIBE, 2017)

Perceptual video quality evaluation by means of physiological signals. - Pablo Arnau-González; Turke Althobaiti; Stamos Katsigiannis; Naeem Ramzan (QoMEX, 2017)

MIGS-GPU: Microarray Image Gridding and Segmentation on the GPU. - Stamos Katsigiannis; Eleni Zacharia; Dimitris Maroulis (IEEE J. Biomed. Health Informatics, 2017)

Remote Heart Rate Extraction Using Microsoft KinectTM v2.0. - Lakmini P. Malasinghe; Stamos Katsigiannis; Naeem Ramzan; Keshav P. Dahal (ICBBT, 2018)

SNPs-based Hypertension Disease Detection via Machine Learning Techniques. - Raid Alzubi; Naeem Ramzan; Hadeel Alzoubi; Stamos Katsigiannis (ICAC, 2018)

Interpreting MOS scores, when can users see a difference? Understanding user experience differences for photo quality. - Stamos Katsigiannis; James J. Scovell; Naeem Ramzan; Lucjan Janowski; Philip J. Corriveau; Michele A. Saad; Glenn Van Wallendael (Qual. User Exp., 2018)

DREAMER: A Database for Emotion Recognition Through EEG and ECG Signals From Wireless Low-cost Off-the-Shelf Devices. - Stamos Katsigiannis; Naeem Ramzan (IEEE J. Biomed. Health Informatics, 2018)

On the use of ECG and EMG Signals for Question Difficulty Level Prediction in the Context of Intelligent Tutoring Systems. - Fehaid Alqahtani; Stamos Katsigiannis; Naeem Ramzan (BIBE, 2019)

SpotDSQ: A 2D-Gel Image Analysis Tool for Protein Spot Detection, Segmentation and Quantification. - Eirini Kostopoulou; Stamos Katsigiannis; Dimitris Maroulis (BIBE, 2019)

Image-Evoked Affect and its Impact on Eeg-Based Biometrics. - Pablo Arnau-González; Stamos Katsigiannis; Miguel Arevalillo-Herráez; Naeem Ramzan (ICIP, 2019)

ECG-based affective computing for difficulty level prediction in Intelligent Tutoring Systems. - Fehaid Alqahtani; Stamos Katsigiannis; Naeem Ramzan (UCET, 2019)

Examining Human-Horse Interaction by Means of Affect Recognition via Physiological Signals. - Turke Althobaiti; Stamos Katsigiannis; Daune West; Naeem Ramzan (IEEE Access, 2019)

An FPGA implementation of the matching pursuit algorithm for a compressed sensing enabled e-Health monitoring platform. - Oussama Kerdjidj; Abbes Amira; Khalida Ghanem; Naeem Ramzan; Stamos Katsigiannis; Fatima Chouireb (Microprocess. Microsystems, 2019)

A QoE and Simulator Sickness Evaluation of a Smart-Exercise-Bike Virtual Reality System via User Feedback and Physiological Signals. - Stamos Katsigiannis; Rhys Willis; Naeem Ramzan (IEEE Trans. Consumer Electron., 2019)

Defining gaze tracking metrics by observing a growing divide between 2D and 3D tracking. - William Andrew Blakey; Stamos Katsigiannis; Navid Hajimirza; Naeem Ramzan (HVEI, 2020)

Triaxial Accelerometer-Based Falls and Activities of Daily Life Detection Using Machine Learning. - Turke Althobaiti; Stamos Katsigiannis; Naeem Ramzan (Sensors, 2020)

Single-channel EEG-based subject identification using visual stimuli. - Stamos Katsigiannis; Pablo Arnau-González; Miguel Arevalillo-Herráez; Naeem Ramzan (BHI, 2021)

Does BERT Pay Attention to Cyberbullying? - Fatma Elsafoury; Stamos Katsigiannis; Steven R. Wilson 001; Naeem Ramzan (SIGIR, 2021)

When the Timeline Meets the Pipeline: A Survey on Automated Cyberbullying Detection. - Fatma Elsafoury; Stamos Katsigiannis; Zeeshan Pervez; Naeem Ramzan (IEEE Access, 2021)

BED: A New Data Set for EEG-Based Biometrics. - Pablo Arnau-González; Stamos Katsigiannis; Miguel Arevalillo-Herráez; Naeem Ramzan (IEEE Internet Things J., 2021)

On the Use of Deep Learning for Imaging-Based COVID-19 Detection Using Chest X-rays. - Gabriel Iluebe Okolo; Stamos Katsigiannis; Turke Althobaiti; Naeem Ramzan (Sensors, 2021)

On the Influence of Affect in EEG-Based Subject Identification. - Pablo Arnau-González; Miguel Arevalillo-Herráez; Stamos Katsigiannis; Naeem Ramzan (IEEE Trans. Affect. Comput., 2021)

A Localisation Study of Deep Learning Models for Chest X-ray Image Classification. - James Gascoigne-Burns; Stamos Katsigiannis (BHI, 2022)

Multi-modal lung ultrasound image classification by fusing image-based features and probe information. - Gabriel Iluebe Okolo; Stamos Katsigiannis; Naeem Ramzan (BIBE, 2022)

SOS: Systematic Offensive Stereotyping Bias in Word Embeddings. - Fatma Elsafoury; Steven R. Wilson 001; Stamos Katsigiannis; Naeem Ramzan (COLING, 2022)

Multiclass-SGCN: Sparse Graph-Based Trajectory Prediction with Agent Class Embedding. - Ruochen Li 002; Stamos Katsigiannis; Hubert P. H. Shum (ICIP, 2022)

On the benefits of using Hidden Markov Models to predict emotions. - Yuyan Wu; Miguel Arevalillo-Herráez; Stamos Katsigiannis; Naeem Ramzan (UMAP, 2022)

IEViT: An enhanced vision transformer architecture for chest X-ray image classification. - Gabriel Iluebe Okolo; Stamos Katsigiannis; Naeem Ramzan (Comput. Methods Programs Biomed., 2022)

A comparative study of common steps in video-based remote heart rate detection methods. - Lakmini P. Malasinghe; Stamos Katsigiannis; Keshav P. Dahal; Naeem Ramzan (Expert Syst. Appl., 2022)

Automated Detection of Substance-Use Status and Related Information from Clinical Text. - Raid Alzubi; Hadeel Alzoubi; Stamos Katsigiannis; Daune West; Naeem Ramzan (Sensors, 2022)

Towards Automatic Tutoring of Custom Student-Stated Math Word Problems. - Pablo Arnau-González; Ana Serrano Mamolar; Stamos Katsigiannis; Miguel Arevalillo-Herráez (AIED (Posters/Late Breaking Results/...), 2023)

Comparative Study of Face Tracking Algorithms for Remote Photoplethysmography. - J. A. S. Y. Jayasinghe; Stamos Katsigiannis; Lakmini P. Malasinghe (ICECET, 2023)

Toward Automatic Tutoring of Math Word Problems in Intelligent Tutoring Systems. - Pablo Arnau-González; Ana Serrano Mamolar; Stamos Katsigiannis; Turke Althobaiti; Miguel Arevalillo-Herráez (IEEE Access, 2023)

On Bias and Fairness in NLP: How to have a fairer text classification? - Fatma Elsafoury; Stamos Katsigiannis; Naeem Ramzan (CoRR, 2023)

Fusing ECG signals and IRT models for task difficulty prediction in computerised educational systems. - Miguel Arevalillo-Herráez; Stamos Katsigiannis; Fehaid Alqahtani; Pablo Arnau-González (Knowl. Based Syst., 2023)

Evidence Retrieval for Fact Verification using Multi-stage Reranking. - Shrikant Malviya; Stamos Katsigiannis (EMNLP (Findings), 2024)

CLN: A multi-task deep neural network for chest X-ray image localisation and classification. - Gabriel Iluebe Okolo; Stamos Katsigiannis; Naeem Ramzan (Expert Syst. Appl., 2025)

SKDU at De-Factify 4.0: Vision Transformer with Data Augmentation for AI-Generated Image Detection. - Shrikant Malviya; Neelanjan Bhowmik; Stamos Katsigiannis (CoRR, 2025)

SKDU at De-Factify 4.0: Natural Language Features for AI-Generated Text-Detection. - Shrikant Malviya; Pablo Arnau-González; Miguel Arevalillo-Herráez; Stamos Katsigiannis (CoRR, 2025)

Unified Spatial-Temporal Edge-Enhanced Graph Networks for Pedestrian Trajectory Prediction. - Ruochen Li 002; Tanqiu Qiao; Stamos Katsigiannis; Zhanxing Zhu; Hubert P. H. Shum (IEEE Trans. Circuits Syst. Video Technol., 2025)

BP-SGCN: Behavioral Pseudo-Label Informed Sparse Graph Convolution Network for Pedestrian and Heterogeneous Trajectory Prediction. - Ruochen Li 002; Stamos Katsigiannis; Tae-Kyun Kim 001; Hubert P. H. Shum (IEEE Trans. Neural Networks Learn. Syst., 2025)