Search Results - "Deep supervised autoencoder"

Automated Terrain Classification with a Bayesian Hyperparameter Optimized Deep Supervised Autoencoder Model

Authors: Tiny Du Toit Hennie Kruger Annette Van Der Merwe

Source: Journal of Computer Science. 19:1073-1086

Automated Diagnosis of COVID-19 Using Deep Supervised Autoencoder With Multi-View Features From CT Images

Authors: Jianhong Cheng Wei Zhao Jin Liu et al.

Source: IEEE/ACM Trans Comput Biol Bioinform

Subject Terms: 03 medical and health sciences, COVID-19 Testing, Deep Learning, 0302 clinical medicine, SARS-CoV-2, 0202 electrical engineering, electronic engineering, information engineering, COVID-19, Humans, Pneumonia, 02 engineering and technology, Tomography, X-Ray Computed, Article, 3. Good health

Access URL: https://ieeexplore.ieee.org/ielx7/8857/4359833/09508150.pdf
https://pubmed.ncbi.nlm.nih.gov/34351863

Captured multi-label relations via joint deep supervised autoencoder

Authors: Si-ming Lian Run-kun Lu Jian-Wei Liu et al.

Source: Applied Soft Computing. 74:709-728

Subject Terms: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Deep Supervised Autoencoder Based Image Reconstruction and SVM for Face Recognition

Authors: Chang-Ming Shu Rong-Bing Huang Xiao-Qun Liu

Source: Computer Science and Artificial Intelligence. :474-479

Access URL: https://www.worldscientific.com/doi/abs/10.1142/9789813220294_0061

Adaptive Deep Supervised Autoencoder Based Image Reconstruction for Face Recognition

Authors: Rongbing Huang Chang Liu Guoqi Li et al.

Source: Mathematical Problems in Engineering. 2016:1-14

Subject Terms: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

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Access URL: http://downloads.hindawi.com/journals/mpe/2016/6795352.pdf
http://downloads.hindawi.com/journals/mpe/2016/6795352.pdf
https://www.hindawi.com/journals/mpe/2016/6795352/
https://downloads.hindawi.com/journals/mpe/2016/6795352.pdf
https://www.scilit.net/article/2b09ba46bd92384e1e646028f4ab6a4d
https://core.ac.uk/display/89710560

DeepPos: Deep Supervised Autoencoder Network for CSI Based Indoor Localization

Authors: Yazdanian, Peyman Pourahmadi, Vahid

Subject Terms: Signal Processing (eess.SP), FOS: Computer and information sciences, Computer Science - Machine Learning, Artificial Intelligence (cs.AI), Computer Science - Artificial Intelligence, Statistics - Machine Learning, 0202 electrical engineering, electronic engineering, information engineering, FOS: Electrical engineering, electronic engineering, information engineering, Machine Learning (stat.ML), 02 engineering and technology, Electrical Engineering and Systems Science - Signal Processing, Machine Learning (cs.LG)

Access URL: http://arxiv.org/abs/1811.12182

Captured multi-label relations via joint deep supervised autoencoder.

Authors: Lian, Si-ming Liu, Jian-wei Lu, Run-kun et al.

Source: Applied Soft Computing. Jan2019, Vol. 74, p709-728. 20p.

Subject Terms: Conditional probability, Big data, Matrices (Mathematics), Image processing, Soft computing

Automated Diagnosis of COVID-19 Using Deep Supervised Autoencoder With Multi-View Features From CT Images.

Authors: Cheng, Jianhong Zhao, Wei Liu, Jin et al.

Source: IEEE/ACM Transactions on Computational Biology & Bioinformatics; Sep/Oct2022, Vol. 19 Issue 5, p2723-2736, 14p

AACNet: attention aided CNN-autoencoder network for precise categorization of respiratory conditions from HRCT scans.

Authors: Kakati, Anchita Bhattacharjya, Upasana Medhi, Jyoti Prakash et al.

Source: Network Modeling & Analysis in Health Informatics & Bioinformatics; 8/20/2025, Vol. 14 Issue 1, p1-29, 29p

Pulmonary nodule diagnosis using dual-modal supervised autoencoder based on extreme learning machine.

Authors: Qiang, Yan Ge, Lei Zhao, Xin et al.

Source: Expert Systems; Dec2017, Vol. 34 Issue 6, pn/a-N.PAG, 12p

Subject Terms: DEEP learning, PULMONARY nodules, COMPUTED tomography, POSITRON emission tomography, BACK propagation

Empirical evaluation of machine learning models for analysis of CoVID related diseases on different body organs.

Authors: Thombre, Supriya S. Malik, Latesh Kumar, Sanjay

Source: Multimedia Tools & Applications; Nov2024, Vol. 83 Issue 36, p86079-86090, 12p

Subject Terms: MACHINE learning, RESEARCH personnel, CLASSIFICATION algorithms, ECONOMIC aspects of diseases, HUMAN body

A New Predictive Method for Classification Tasks in Machine Learning: Multi-Class Multi-Label Logistic Model Tree (MMLMT).

Authors: Ghasemkhani, Bita Balbal, Kadriye Filiz Birant, Derya

Source: Mathematics (2227-7390); Sep2024, Vol. 12 Issue 18, p2825, 27p

Subject Terms: MACHINE learning, ARTIFICIAL intelligence, LOGISTIC regression analysis, PREDICTION models, MATHEMATICS

DFCV: a framework for evaluation deep learning in early detection and classification of lung cancer.

Authors: Alsadoon, Abeer Al-Naymat, Ghazi Osman, Ahmed Hamza et al.

Source: Multimedia Tools & Applications; Nov2023, Vol. 82 Issue 28, p44387-44430, 44p

Subject Terms: DEEP learning, LUNG cancer, TUMOR classification, FEATURE selection

Abnormal Situation Management in Chemical Processes: Recent Research Progress and Future Prospects.

Authors: Liu, Shangzhi Lei, Fangyi Zhao, Dongfeng et al.

Source: Processes; Jun2023, Vol. 11 Issue 6, p1608, 22p

Subject Terms: CHEMICAL processes, INTELLIGENCE levels, CHEMICAL plants, INDUSTRIAL applications, INDUSTRIALIZATION

Synthesis optimization and adsorption modeling of biochar for pollutant removal via machine learning.

Authors: Zhang, Wentao Chen, Ronghua Li, Jie et al.

Source: Biochar; 4/23/2023, p1-25, 25p

Subject Terms: BIOCHAR, MACHINE learning, ADSORPTION (Chemistry), PYROLYSIS, ECONOMICS

A Survey of Textual Emotion Recognition and Its Challenges.

Authors: Deng, Jiawen Ren, Fuji

Source: IEEE Transactions on Affective Computing; Jan-Mar2023, Vol. 14 Issue 1, p49-67, 19p

A Novel Multi-Neural Ensemble Approach for Cancer Diagnosis.

Authors: Gupta, Surbhi Gupta, Manoj Kumar Kumar, Rakesh

Source: Applied Artificial Intelligence; 2022, Vol. 36 Issue 1, p1-36, 36p

Subject Terms: NON-small-cell lung carcinoma, CANCER diagnosis, EARLY detection of cancer, PROSTATE cancer, DEEP learning, PROSTATE-specific antigen

Geographic Terms: JAMMU & Kashmir (India), WISCONSIN

Hierarchical Deep LSTM for Fault Detection and Diagnosis for a Chemical Process.

Authors: Agarwal, Piyush Gonzalez, Jorge Ivan Mireles Elkamel, Ali et al.

Source: Processes; Dec2022, Vol. 10 Issue 12, p2557, 20p

Subject Terms: FACTORIES, SYSTEM identification, DIAGNOSIS, DEEP learning, CHEMICAL processes

Adaptive UNet-based Lung Segmentation and Ensemble Learning with CNN-based Deep Features for Automated COVID-19 Diagnosis.

Authors: Das, Anupam

Source: Multimedia Tools & Applications; Feb2022, Vol. 81 Issue 4, p5407-5441, 35p

Subject Terms: DEEP learning, BOOSTING algorithms, COVID-19 testing, COVID-19 pandemic, FEATURE extraction, LUNGS

Geographic Terms: BANGLADESH, INDIA

Applying Attention-Based Models for Detecting Cognitive Processes and Mental Health Conditions.

Authors: Villatoro-Tello, Esaú Parida, Shantipriya Kumar, Sajit et al.

Source: Cognitive Computation; Sep2021, Vol. 13 Issue 5, p1154-1171, 18p