"Gabbouj, Moncef" - Selaus tekijän mukaan TUNICRIS-julkaisut
Viitteet 21-40 / 114
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COVID-19 infection map generation and detection from chest X-ray images
(01.04.2021)
articleComputer-aided diagnosis has become a necessity for accurate and immediate coronavirus disease 2019 (COVID-19) detection to aid treatment and prevent the spread of the virus. Numerous studies have proposed to use Deep ... -
Credit Card Fraud Detection with Subspace Learning-based One-Class Classification
IEEE Symposium on Computational Intelligence in Multi-Criteria Decision Making (IEEE, 2023)
conferenceObjectIn an increasingly digitalized commerce landscape, the proliferation of credit card fraud and the evolution of sophisticated fraudulent techniques have led to substantial financial losses. Automating credit card fraud ... -
Cross-asymmetric mixed-resolution 3D video compression
3DTV-Conference: The True Vision - Capture, Transmission and Display of 3D Video (Institute of Electrical and Electronics Engineers IEEE, 2012)
conferenceObjectConventional mixed-resolution (MR) stereoscopic video where one view has full resolution (FR) and the other view has a lower resolution has shown to provide similar subjective quality compared to symmetric FR stereoscopic ... -
Cross-layer optimization of DVB-T2 system for mobile services
(2010)
articleMobile broadcast services have experienced a strong boost in recent years through the standardization of several mobile broadcast systems such as DVB-H, ATSC-M/H, DMB-T/H, and CMMB. However, steady need for higher quality ... -
Design of an Optimal Piece-Wise Spline Wigner-Ville Distribution for TFD Performance Evaluation and Comparison
(2021)
articleThis paper proposes a new performance evaluation process for time-frequency distributions (TFD) by designing a reference optimal TFD and novel accuracy and resolution measures. The motivation comes from the need for a TFD ... -
Dual and single polarized sar image classification using compact convolutional neural networks
(01.06.2019)
articleAccurate land use/land cover classification of synthetic aperture radar (SAR) images plays an important role in environmental, economic, and nature related research areas and applications. When fully polarimetric SAR data ... -
Early Bearing Fault Diagnosis of Rotating Machinery by 1D Self-Organized Operational Neural Networks
(2021)
articlePreventive maintenance of modern electric rotating machinery (RM) is critical for ensuring reliable operation, preventing unpredicted breakdowns and avoiding costly repairs. Recently many studies investigated machine ... -
Early Detection of Myocardial Infarction in Low-Quality Echocardiography
(16.02.2021)
articleMyocardial infarction (MI), or commonly known as heart attack, is a life-threatening health problem worldwide from which 32.4 million people suffer each year. Early diagnosis and treatment of MI are crucial to prevent ... -
Early myocardial infarction detection over multi-view echocardiography
(01 / 2024)
articleMyocardial infarction (MI) is the leading cause of mortality in the world. Its early diagnosis can mitigate the extent of myocardial damage by facilitating early therapeutic interventions. The regional wall motion abnormality ... -
Early Myocardial Infarction Detection with One-Class Classification over Multi-view Echocardiography
Computing in Cardiology (IEEE, 09 / 2022)
conferenceObjectMyocardial infarction (MI) is the leading cause of mortality and morbidity in the world. Early therapeutics of MI can ensure the prevention of further myocardial necrosis. Echocardiography is the fundamental imaging technique ... -
Ellipsoidal Subspace Support Vector Data Description
(2020)
articleIn this paper, we propose a novel method for transforming data into a low-dimensional space optimized for one-class classification. The proposed method iteratively transforms data into a new subspace optimized for ellipsoidal ... -
End-to-End Transformer for Compressed Video Quality Enhancement
(29.11.2023)
articleConvolutional neural networks have achieved excellent results in compressed video quality enhancement task in recent years. State-of-the-art methods explore the spatio-temporal information of adjacent frames mainly by ... -
Ensembling object detectors for image and video data analysis
Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (IEEE, 2021)
conferenceObjectIn this paper, we propose a method for ensembling the outputs of multiple object detectors for improving detection performance and precision of bounding boxes on image data. We further extend it to video data by proposing ... -
Estimation of Subjective Quality for Mixed-Resolution Stereoscopic Video
3DTV Conference: The True Vision - Capture, Transmission and Display of 3D Video 3DTV-CON (IEEE, 2011)
conferenceObjectIn mixed-resolution (MR) stereoscopic video, one view is presented with a lower resolution compared with the other one; therefore, a lower bitrate, a reduced computational complexity, and a decrease in memory access bandwidth ... -
Evolutionary Feature Generation for Content-Based Audio Classification and Retrieval
European Signal Processing Conference (EUSIPCO) (Institute of Electrical and Electronics Engineers IEEE, 2012)
conferenceObjectMany commonly applied audio features suffer from certain limitations in describing the data content for classification and retrieval purposes. To remedy this drawback, in this paper we propose an evolutionary feature ... -
Exploiting heterogeneity in operational neural networks by synaptic plasticity
(04.01.2021)
articleThe recently proposed network model, Operational Neural Networks (ONNs), can generalize the conventional Convolutional Neural Networks (CNNs) that are homogenous only with a linear neuron model. As a heterogenous network ... -
Exploring Sound vs Vibration for Robust Fault Detection on Rotating Machinery
(07 / 2024)
articleRobust and real-time detection of faults has become an ultimate objective for predictive maintenance on rotating machinery. Vibration-based Deep Learning (DL) methodologies have become the de facto standard for bearing ... -
An external attention-based feature ranker for large-scale feature selection
(03.12.2023)
articleAn important problem in data science, feature selection (FS) consists of finding the optimal subset of features and eliminating irrelevant or redundant features. The FS task on high-dimensional data is challenging for the ... -
Facial expression based satisfaction index for empathic buildings
UbiComp/ISWC 2020 Adjunct - Proceedings of the 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2020 ACM International Symposium on Wearable Computers (ACM, 10.09.2020)
conferenceObjectIn this work, we examine the suitability of automatic facial expression recognition to be used for satisfaction analysis in an Empathic Building environment. We use machine learning based facial expression recognition on ... -
Fast Motion Estimation Algorithm with Efficient Memory Access for HEVC Hardware Encoders
(IEEE, 11 / 2018)
conferenceObjectThe encoding process in the HEVC standard is several times more complex than the previous standards. Since motion estimation is responsible for most of this complexity, the new Test Zone (TZ) search is usually adopted as ...
