Results 231 to 240 of about 5,528,069 (258)

Integrating anisotropic heat flow and transformer encoders in convolutional neural network for skin cancer classification. [PDF]

Front Med (Lausanne)
Aburass S, Dorgham O, Aljarah I.
europepmc   +1 more source

XChrom: A Cross‐Cell Chromatin Accessibility Prediction Model Integrating Genomic Sequence and Cellular Context

Advanced Science, EarlyView.
XChrom is a deep learning framework that integrates genomic sequence and single‐cell context to predict chromatin accessibility. It generalizes to unseen cells and genomic regions, enabling cross‐sample and cross‐species analysis. Applied to COVID‐19 patient data, XChrom reveals key transcriptional regulatory mechanisms and disease‐associated ...
Yuanyuan Miao, Xuan Liang, Wenwen Zhang, Dongmei Han, Yurun Li, Zhen Wang   +5 more
wiley   +1 more source

A spectrogram and local feature-assisted convolutional neural network for Amharic speech emotion identification. [PDF]

Sci Rep
Mengist YA, Mengistu AD, Beyene MY, Kassa MA, Mengist GA.   +4 more
europepmc   +1 more source

Brain age prediction in generalized anxiety disorder using a convolutional neural network. [PDF]

Transl Psychiatry
Richier C, Zugman A, Harrewijn A, Cardinale EM, Khosravi P, Aghajani M, Bruin WB, Hilbert K, Cardoner N, Porta-Casteràs D, Cano M, Gosnell S, Salas R, Jackowski AP, Pan PM, Salum GA, Blair KS, Blair JR, Milad MR, Burkhouse KL, Phan KL, Schroeder HK, Strawn JR, Beesdo-Baum K, Jahanshad N, Thomopoulos SI, Nielsen JA, Smoller JW, Soares JC, Mwangi B, Wu MJ, Zunta-Soares GB, Assaf M, Diefenbach GJ, Brambilla P, Maggioni E, Hofmann D, Straube T, Andreescu C, Price RB, Manfro GG, Agosta F, Canu E, Cividini C, Filippi M, Kostić M, Munjiza Jovanovic A, Benson B, Freitag GF, Leibenluft E, Ringlein GV, Werwath K, Zwiebel H, Grabe HJ, Van der Auwera S, Wittfeld K, Völzke H, Bülow R, Balderston NL, Ernst M, Mujica-Parodi LR, van Nieuwenhuizen H, Critchley HD, Makovac E, Mancini M, Meeten F, Ottaviani C, Fonzo GA, Paulus MP, Stein MB, Gur RE, Gur RC, Kaczkurkin AN, Larsen B, Satterthwaite TD, Harper J, Perino MT, Sylvester CM, Yu Q, McClure P, Pereira F, Lueken U, Veltman DJ, Thompson PM, Groenewold NA, Bas-Hoogendam JM, Stein DJ, Van der Wee NJA, Winkler AM, Pine DS, Sawyers CK.   +90 more
europepmc   +1 more source

Intelligent malware detection on Android smartphones via a hybrid approach using gradient boosting and convolutional neural network. [PDF]

Sci Rep
Chimeleze C, Jamil N, Zain ZM, Faruk N.
europepmc   +1 more source

ConvCGP: A convolutional neural network to predict genetic values of agronomic traits from compressed genome-wide polymorphisms. [PDF]

Plant Genome
Raihan T, Kim CH, Shimono H, Kimura A, Iwata H.   +4 more
europepmc   +1 more source

Skin tumor identification by means of convolutional neural network and improved gray wolf optimizer. [PDF]

Front Oncol
Ou M, Wu H, Liu H, Zhu J.
europepmc   +1 more source

RETRACTION: Channel-Boosted and Transfer Learning Convolutional Neural Network-Based Osteoporosis Detection from CT Scan, Dual X-Ray, and X-Ray Images. [PDF]

J Healthc Eng
Healthcare Engineering JO.
europepmc   +1 more source

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Avoiding Overfitting: A Survey on Regularization Methods for Convolutional Neural Networks

ACM Computing Surveys, 2022
Claudio Filipi Goncalves dos Santos, João P Papa   +1 more
exaly