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ORCIDStamos Katsigiannis
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2020 – today
- 2023
[j17]Pablo Arnau-González
, Ana Serrano Mamolar, Stamos Katsigiannis, Turke Althobaiti, Miguel Arevalillo-Herráez:
Toward Automatic Tutoring of Math Word Problems in Intelligent Tutoring Systems. IEEE Access 11: 67030-67039 (2023)- [j16]Miguel Arevalillo-Herráez, Stamos Katsigiannis, Fehaid Alqahtani, Pablo Arnau-González:
Fusing ECG signals and IRT models for task difficulty prediction in computerised educational systems. Knowl. Based Syst. 280: 111052 (2023) - [c24]Pablo Arnau-González, Ana Serrano Mamolar, Stamos Katsigiannis, Miguel Arevalillo-Herráez:
Towards Automatic Tutoring of Custom Student-Stated Math Word Problems. AIED (Posters/Late Breaking Results/...) 2023: 639-644 - [i3]Fatma Elsafoury, Stamos Katsigiannis, Naeem Ramzan:
On Bias and Fairness in NLP: How to have a fairer text classification? CoRR abs/2305.12829 (2023) - 2022
- [j15]Gabriel Iluebe Okolo, Stamos Katsigiannis, Naeem Ramzan:
IEViT: An enhanced vision transformer architecture for chest X-ray image classification. Comput. Methods Programs Biomed. 226: 107141 (2022) - [j14]Lakmini P. Malasinghe, Stamos Katsigiannis, Keshav P. Dahal, Naeem Ramzan:
A comparative study of common steps in video-based remote heart rate detection methods. Expert Syst. Appl. 207: 117867 (2022) - [j13]Raid Alzubi, Hadeel Alzoubi, Stamos Katsigiannis, Daune West, Naeem Ramzan:
Automated Detection of Substance-Use Status and Related Information from Clinical Text. Sensors 22(24): 9609 (2022) - [c23]James Gascoigne-Burns, Stamos Katsigiannis:
A Localisation Study of Deep Learning Models for Chest X-ray Image Classification. BHI 2022: 1-5 - [c22]Gabriel Iluebe Okolo, Stamos Katsigiannis, Naeem Ramzan:
Multi-modal lung ultrasound image classification by fusing image-based features and probe information. BIBE 2022: 45-50 - [c21]Fatma Elsafoury, Steven R. Wilson, Stamos Katsigiannis, Naeem Ramzan:
SOS: Systematic Offensive Stereotyping Bias in Word Embeddings. COLING 2022: 1263-1274 - [c20]Ruochen Li, Stamos Katsigiannis, Hubert P. H. Shum:
Multiclass-SGCN: Sparse Graph-Based Trajectory Prediction with Agent Class Embedding. ICIP 2022: 2346-2350 - [c19]Yuyan Wu, Miguel Arevalillo-Herráez, Stamos Katsigiannis, Naeem Ramzan:
On the benefits of using Hidden Markov Models to predict emotions. UMAP 2022: 164-169 - [i2]Ruochen Li, Stamos Katsigiannis, Hubert P. H. Shum:
Multiclass-SGCN: Sparse Graph-based Trajectory Prediction with Agent Class Embedding. CoRR abs/2206.15275 (2022) - 2021
- [j12]Fatma Elsafoury, Stamos Katsigiannis, Zeeshan Pervez, Naeem Ramzan:
When the Timeline Meets the Pipeline: A Survey on Automated Cyberbullying Detection. IEEE Access 9: 103541-103563 (2021) - [j11]Pablo Arnau-González, Stamos Katsigiannis, Miguel Arevalillo-Herráez, Naeem Ramzan:
BED: A New Data Set for EEG-Based Biometrics. IEEE Internet Things J. 8(15): 12219-12230 (2021) - [j10]Gabriel Iluebe Okolo, Stamos Katsigiannis, Turke Althobaiti, Naeem Ramzan:
On the Use of Deep Learning for Imaging-Based COVID-19 Detection Using Chest X-rays. Sensors 21(17): 5702 (2021) - [j9]Pablo Arnau-González, Miguel Arevalillo-Herráez, Stamos Katsigiannis, Naeem Ramzan:
On the Influence of Affect in EEG-Based Subject Identification. IEEE Trans. Affect. Comput. 12(2): 391-401 (2021) - [c18]Stamos Katsigiannis, Pablo Arnau-González, Miguel Arevalillo-Herráez, Naeem Ramzan:
Single-channel EEG-based subject identification using visual stimuli. BHI 2021: 1-4 - [c17]Fatma Elsafoury, Stamos Katsigiannis, Steven R. Wilson, Naeem Ramzan:
Does BERT Pay Attention to Cyberbullying? SIGIR 2021: 1900-1904 - 2020
- [j8]Turke Althobaiti, Stamos Katsigiannis, Naeem Ramzan:
Triaxial Accelerometer-Based Falls and Activities of Daily Life Detection Using Machine Learning. Sensors 20(13): 3777 (2020) - [c16]William Andrew Blakey, Stamos Katsigiannis, Navid Hajimirza, Naeem Ramzan:
Defining gaze tracking metrics by observing a growing divide between 2D and 3D tracking. HVEI 2020
2010 – 2019
- 2019
- [j7]Turke Althobaiti, Stamos Katsigiannis, Daune West, Naeem Ramzan:
Examining Human-Horse Interaction by Means of Affect Recognition via Physiological Signals. IEEE Access 7: 77857-77867 (2019) - [j6]Oussama Kerdjidj, Abbes Amira, Khalida Ghanem, Naeem Ramzan, Stamos Katsigiannis, Fatima Chouireb:
An FPGA implementation of the matching pursuit algorithm for a compressed sensing enabled e-Health monitoring platform. Microprocess. Microsystems 67: 131-139 (2019) - [j5]Stamos Katsigiannis, Rhys Willis, Naeem Ramzan:
A QoE and Simulator Sickness Evaluation of a Smart-Exercise-Bike Virtual Reality System via User Feedback and Physiological Signals. IEEE Trans. Consumer Electron. 65(1): 119-127 (2019) - [c15]Eirini Kostopoulou, Stamos Katsigiannis, Dimitris Maroulis:
SpotDSQ: A 2D-Gel Image Analysis Tool for Protein Spot Detection, Segmentation and Quantification. BIBE 2019: 31-37 - [c14]Fehaid Alqahtani, Stamos Katsigiannis, Naeem Ramzan:
On the use of ECG and EMG Signals for Question Difficulty Level Prediction in the Context of Intelligent Tutoring Systems. BIBE 2019: 392-396 - [c13]Pablo Arnau-González, Stamos Katsigiannis, Miguel Arevalillo-Herráez, Naeem Ramzan:
Image-Evoked Affect and its Impact on Eeg-Based Biometrics. ICIP 2019: 2591-2595 - [c12]Fehaid Alqahtani, Stamos Katsigiannis, Naeem Ramzan:
ECG-based affective computing for difficulty level prediction in Intelligent Tutoring Systems. UCET 2019: 1-4 - 2018
- [j4]Stamos Katsigiannis, James J. Scovell, Naeem Ramzan, Lucjan Janowski, Philip J. Corriveau, Michele A. Saad, Glenn Van Wallendael:
Interpreting MOS scores, when can users see a difference? Understanding user experience differences for photo quality. Qual. User Exp. 3(1) (2018) - [j3]Stamos Katsigiannis, Naeem Ramzan:
DREAMER: A Database for Emotion Recognition Through EEG and ECG Signals From Wireless Low-cost Off-the-Shelf Devices. IEEE J. Biomed. Health Informatics 22(1): 98-107 (2018) - [c11]Lakmini P. Malasinghe, Stamos Katsigiannis, Naeem Ramzan, Keshav P. Dahal:
Remote Heart Rate Extraction Using Microsoft KinectTM v2.0. ICBBT 2018: 1-6 - [c10]Raid Alzubi, Naeem Ramzan, Hadeel Alzoubi, Stamos Katsigiannis:
SNPs-based Hypertension Disease Detection via Machine Learning Techniques. ICAC 2018: 1-6 - 2017
- [j2]Stamos Katsigiannis, Eleni Zacharia, Dimitris Maroulis:
MIGS-GPU: Microarray Image Gridding and Segmentation on the GPU. IEEE J. Biomed. Health Informatics 21(3): 867-874 (2017) - [c9]Pablo Arnau-González, Stamos Katsigiannis, Naeem Ramzan, Debbie Tolson, Miguel Arevalillo-Herráez:
ES1D: A Deep Network for EEG-Based Subject Identification. BIBE 2017: 81-85 - [c8]Pablo Arnau-González, Turke Althobaiti, Stamos Katsigiannis, Naeem Ramzan:
Perceptual video quality evaluation by means of physiological signals. QoMEX 2017: 1-6 - 2016
- [b1]Stamos Katsigiannis:
Advanced GPU - based methods for analysis and processing of biomedical images and general purpose video. National and Kapodistrian University of Athens, Greece, 2016 - 2015
- [j1]Eirini Kostopoulou, Stamos Katsigiannis, Dimitrios E. Maroulis:
2D-gel spot detection and segmentation based on modified image-aware grow-cut and regional intensity information. Comput. Methods Programs Biomed. 122(1): 26-39 (2015) - [c7]Eirini Kostopoulou, Stamos Katsigiannis, Dimitris Maroulis:
A custom grow-cut based scheme for 2D-gel image segmentation. EMBC 2015: 2407-2410 - [c6]Stamos Katsigiannis, Vasilis Dimitsas, Dimitris Maroulis:
A GPU vs CPU performance evaluation of an experimental video compression algorithm. QoMEX 2015: 1-6 - [i1]Stamos Katsigiannis, Georgios Papaioannou, Dimitris Maroulis:
CVC: The Contourlet Video Compression algorithm for real-time applications. CoRR abs/1510.00561 (2015) - 2013
- [c5]Stamos Katsigiannis, Eleni Zacharia, Dimitris Maroulis:
Enhancing the performance of a microarray gridding algorithm via GPU computing techniques. BIBE 2013: 1-4 - [c4]Stamos Katsigiannis, Dimitris Maroulis, Georgios Papaioannou:
A GPU based real-time video compression method for video conferencing. DSP 2013: 1-6 - [c3]Stamos Katsigiannis, Dimitris Maroulis:
Parallel computing techniques for performance enhancement of a cDNA microarray gridding algorithm. ISSPIT 2013: 446-451 - [p1]Stamos Katsigiannis, Eystratios G. Keramidas, Dimitris Maroulis:
FLBP: Fuzzy Local Binary Patterns. Local Binary Patterns 2013: 149-175 - 2012
- [c2]Stamos Katsigiannis, Georgios Papaioannou, Dimitris Maroulis:
A contourlet transform based algorithm for real-time video encoding. Real-Time Image and Video Processing 2012: 843704 - 2010
- [c1]Stamos Katsigiannis, Eystratios G. Keramidas, Dimitris Maroulis:
Contourlet Transform for Texture Representation of Ultrasound Thyroid Images. AIAI 2010: 138-145
Coauthor Index
aka: Dimitris Maroulis
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