Search Results - "sparse autoencoder networks"

Stacked sparse autoencoder networks and statistical shape models for automatic staging of distal femur trochlear dysplasia

Authors: Cerveri, Pietro Belfatto, Antonella Baroni, Guido et al.

Source: The International Journal of Medical Robotics and Computer Assisted Surgery. 14:e1947

Subject Terms: Joint Instability, Models, Statistical, Databases, Factual, Knee Joint, sparse autoencoder networks, statistical shape modelling, trochlear dysplasia, trochlear morphology, Aged, Bone Diseases, Cadaver, Femur, Humans, Image Processing, Computer-Assisted, Imaging, Three-Dimensional, Knee, Middle Aged, Retrospective Studies, Tomography, X-Ray Computed, Surgery, Biophysics, Computer Science Applications1707 Computer Vision and Pattern Recognition, 03 medical and health sciences, 0302 clinical medicine, 13. Climate action, 10. No inequality

Access URL: https://pubmed.ncbi.nlm.nih.gov/30073759
https://www.ncbi.nlm.nih.gov/pubmed/30073759
https://europepmc.org/article/MED/30073759
https://onlinelibrary.wiley.com/doi/10.1002/rcs.1947
https://re.public.polimi.it/handle/11311/1082736

COLI: a synergy index for optical and LiDAR synergy estimation for aboveground biomass of urban trees.

Authors: Bai, Linze Hu, Bin Wang, Ke

Source: International Journal of Remote Sensing. Jun2025, Vol. 46 Issue 11, p4430-4453. 24p.

Subject Terms: *STANDARD deviations, *OPTICAL remote sensing, *URBAN trees, *SUPPORT vector machines, *AUTOENCODERS

Realistic simulation of virtual multi-scale, multi-modal patient trajectories using Bayesian networks and sparse auto-encoders.

Authors: Sood, Meemansa Sahay, Akrishta Karki, Reagon et al.

Source: Scientific Reports; 7/3/2020, Vol. 10 Issue 1, p1-14, 14p

Subject Terms: DRUG development, PHARMACEUTICAL research, BAYESIAN analysis, CLINICAL trials, DATA analysis

A review of hyperspectral image classification based on graph neural networks.

Authors: Zhao, Xiaofeng Ma, Junyi Wang, Lei et al.

Source: Artificial Intelligence Review; Jun2025, Vol. 58 Issue 6, p1-56, 56p

Deep Learning in Breast Cancer Imaging: A Decade of Progress and Future Directions.

Authors: Luo, Luyang Wang, Xi Lin, Yi et al.

Source: IEEE Reviews in Biomedical Engineering; 2025, Vol. 18, p130-151, 22p

Squeeze‐and‐excitation‐attention‐based mobile vision transformer for grading recognition of bladder prolapse in pelvic MRI images.

Authors: Zhu, Shaojun Chen, Guotao Chen, Hongguang et al.

Source: Medical Physics; Aug2024, Vol. 51 Issue 8, p5236-5249, 14p

Subject Terms: CONVOLUTIONAL neural networks, TRANSFORMER models, PELVIC floor disorders, PELVIC organ prolapse, IMAGE recognition (Computer vision), KEGEL exercises

Three‐dimensional bone morphology is a risk factor for medial postmeniscectomy syndrome: A retrospective cohort study.

Authors: Grammens, Jonas Van Haver, Annemieke Danckaers, Femke et al.

Source: Journal of Experimental Orthopaedics; Jul2024, Vol. 11 Issue 3, p1-16, 16p

Subject Terms: CLINICAL decision support systems, TIBIOFEMORAL joint, INDEPENDENT variables, AGE groups, STATISTICAL models

DoWNet—classification of Denial-of-Wallet attacks on serverless application traffic.

Authors: Kelly, Daniel Glavin, Frank G Barrett, Enda

Source: Journal of Cybersecurity; 2024, Vol. 10 Issue 1, p1-15, 15p

Subject Terms: IMAGE recognition (Computer vision), CONVOLUTIONAL neural networks, DEEP learning, MACHINE learning, CLASSIFICATION algorithms

Medical image classification via multiscale representation learning.

Authors: Tang, Qiling Liu, Yangyang Liu, Haihua

Source: Artificial Intelligence in Medicine. Jun2017, Vol. 79, p71-78. 8p.

Subject Terms: *MEDICAL imaging systems, *IMAGE processing, *IMAGE converters, *RECEPTIVE fields (Neurology), *CLASSIFICATION

Sparse Autoencoder for Facial Expression Recognition.

Authors: Huang, Binbin Ying, Zilu

Source: 2015 IEEE 12th Intl Conf on Ubiquitous Intelligence & Computing & 2015 IEEE 12th Intl Conf on Autonomic & Trusted Computing & 2015 IEEE 15th Intl Conf on Scalable Computing & Communications & Its Associated Workshops (UIC-ATC-ScalCom); 2015, p1529-1532, 4p

Inconsistent repeatability of the Dejour classification of trochlear dysplasia due to the variability of imaging modalities: a systematic review.

Authors: Pineda, Tomas ReSurg Müller, Jacobus Hendrik et al.

Source: Knee Surgery, Sports Traumatology, Arthroscopy; Dec2023, Vol. 31 Issue 12, p5707-5720, 14p

Subject Terms: DYSPLASIA, IMAGE recognition (Computer vision), STATISTICAL reliability, DATA extraction, CLASSIFICATION

Compressive Reconstruction Based on Sparse Autoencoder Network Prior for Single-Pixel Imaging.

Authors: Zeng, Hong Dong, Jiawei Li, Qianxi et al.

Source: Photonics; Oct2023, Vol. 10 Issue 10, p1109, 21p

Subject Terms: PIXELS, MULTICHANNEL communication, COMPRESSED sensing, FEATURE extraction, IMAGE reconstruction, LINEAR equations, INFORMATION networks

The role of remote sensing in tropical grassland nutrient estimation: a review.

Authors: Arogoundade, Adeola M. Mutanga, Onisimo Odindi, John et al.

Source: Environmental Monitoring & Assessment; Aug2023, Vol. 195 Issue 8, p1-20, 20p

Subject Terms: REMOTE sensing, REMOTE-sensing images, RANGELANDS, GRASSLANDS, LANDSAT satellites, MACHINE learning, DEVELOPING countries, EMPIRICAL research

A high-precision feature extraction network of fatigue speech from air traffic controller radiotelephony based on improved deep learning

Authors: Zhiyuan Shen Yitao Wei

Source: ICT Express, Vol 7, Iss 4, Pp 403-413 (2021)

Subject Terms: Air traffic control, Fatigue, SSAE, Active learning, Dense block, Spectrogram, Information technology, T58.5-58.64

File Description: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2405959521000023; https://doaj.org/toc/2405-9595

Access URL: https://doaj.org/article/21a35614d4a84ad8b009ec0143e99a47

Identification of soil layers using probabilistic collaborative representation–based classification with CPTu data.

Authors: Miao, Yong-hong Wei, Shu-yang Yin, Jie et al.

Source: Arabian Journal of Geosciences; Dec2022, Vol. 15 Issue 23, p1-10, 10p

Subject Terms: COMBINATORIAL probabilities, SOILS, ENGINEERING, NORMALIZATION (Sociology), SOCIAL theory

Deep Sparse Autoencoder and Recursive Neural Network for EEG Emotion Recognition.

Authors: Li, Qi Liu, Yunqing Shang, Yujie et al.

Source: Entropy; Sep2022, Vol. 24 Issue 9, pN.PAG-N.PAG, 15p

Subject Terms: ELECTROENCEPHALOGRAPHY, EMOTION recognition, CONVOLUTIONAL neural networks, BRAIN-computer interfaces, SIGNAL processing

Unreferenced English articles' translation quality-oriented automatic evaluation technology using sparse autoencoder under the background of deep learning.

Authors: Li, Hanhui Deng, Jie

Source: PLoS ONE; 7/13/2022, Vol. 17 Issue 7, p1-21, 21p

Subject Terms: DEEP learning, MACHINE translating, TRANSLATING & interpreting, DATA mining

Deep Triplet Complex-Valued Network for PolSAR Image Classification.

Authors: Tan, Xiaofeng Li, Ming Zhang, Peng et al.

Source: IEEE Transactions on Geoscience & Remote Sensing; Dec2021, Vol. 59 Issue 12, p10179-10196, 18p

Subject Terms: POLARIMETRY, SYNTHETIC aperture radar, PIXELS, CONVOLUTIONAL neural networks, EUCLIDEAN distance, DEEP learning, CLASSIFICATION

A review: data driven-based fault diagnosis and RUL prediction of petroleum machinery and equipment.

Authors: Ji, Daan Wang, Chuang Li, Jiahui et al.

Source: Systems Science & Control Engineering; Dec 2021, Vol. 9 Issue 1, p724-747, 24p

Subject Terms: CONVOLUTIONAL neural networks, RECURRENT neural networks, MATHEMATICAL statistics, PETROLEUM, DEEP learning, FORECASTING

Artificial neural network technique for improving prediction of credit card default: A stacked sparse autoencoder approach.

Authors: Ebiaredoh-Mienye, Sarah. A. Esenogho, E. Swart, Theo G.

Source: International Journal of Electrical & Computer Engineering (2088-8708); Oct2021, Vol. 11 Issue 5, p4392-4402, 11p

Subject Terms: ARTIFICIAL neural networks, DEFAULT (Finance), CREDIT cards, MACHINE learning, MACHINE performance