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Preprocessing

Investigating methods to enhance interpretability and performance in cardiac MRI for myocardial scarring diagnosis using convolutional neural network classification and One Match

Michael H. Udin, Sara Armstrong, [ ... ], Umesh C. Sharma

RETRACTED: Skin cancer segmentation and classification by implementing a hybrid FrCN-(U-NeT) technique with machine learning

Puneet Thapar, Manik Rakhra, [ ... ], Seifedine Kadry

Registered report protocol: Factors associated with inter-rater agreement in grant peer review

Jan-Ole Hesselberg, Pål Ulleberg, [ ... ], Ida Svege

Segmentation-based deep 2D-3D multibranch learning approach for effective hyperspectral image classification

Tanver Ahmed, Adiba Mahjabin Nitu, [ ... ], Md Palash Uddin

Higher-order temporal network prediction and interpretation

H.A. (Bart) Peters, Alberto Ceria, Huijuan Wang

AMD-FV: Adaptive margin loss and dual path network+ for deep face verification

Zeeshan Ahmed Khan, Waqar Ahmed, Panos Liatsis

BGM-YOLO: An accurate and efficient detector for detecting plant disease

Chenghai Yu, Junhao Xie, Fernandes Jean Adrian Tony

Assessing ML classification algorithms and NLP techniques for depression detection: An experimental case study

Giuliano Lorenzoni, Cristina Tavares, [ ... ], Donald Cowan

Innovative novel regularized memory graph attention capsule network for financial fraud detection

Xiangting Shi, Xiaochen Wang, [ ... ], Lihao Zhang

Deep learning-based classification of speech disorder in stroke and hearing impairment

Joo Kyung Park, Sae Byeol Mun, Young Jae Kim, Kwang Gi Kim

InBRwSANet: Self-attention based parallel inverted residual bottleneck architecture for human action recognition in smart cities

Yasir Khan Jadoon, Muhammad Attique Khan, [ ... ], Yunyoung Nam

Classification of fashion e-commerce products using ResNet-BERT multi-modal deep learning and transfer learning optimization

In-Jae Seo, Yo-Han Lee, Beakcheol Jang

Chi² weighted ensemble: A multi-layer ensemble approach for skin lesion classification using a novel framework - optimized RegNet synergy with Attention-Triplet

Anwar Hossain Efat

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