Search Results - "Constrained autoencoder"

Context-Dependent Manifold Learning in Dynamical Systems: A Neuromodulated Constrained Autoencoder Approach

Authors: Adriaens, Jérôme Drion, Guillaume Sacré, Pierre

Source: Symmetry and Geometry in Neural Representations workshop, NeurIPS 2025, San Diego, United States - California [US-CA], Tuesday Dec 2nd through Sunday Dec 7th

Subject Terms: Nonlinear dimensionality reduction, Neuromodulation, Context-dependent learning, Constrained autoencoder, Engineering, computing & technology, Ingénierie, informatique & technologie

Access URL: https://orbi.uliege.be/handle/2268/336469

Golden Eagle Optimization CONV-LSTM and Non-Negativity-constrained Autoencoder-Deep Learning Optimization

Authors: Hajim, Wesam

Subject Terms: Deep Learning, Golden Eagle Optimization, Non-Negativity-Constrained Autoencoder, Convolutional Long Short-Term Memory, Spatial and Temporal Features, Drug Response Prediction

Golden eagle optimized CONV-LSTM and non-negativity-constrained autoencoder to support spatial and temporal features in cancer drug response prediction

Authors: Wesam Ibrahim Hajim Suhaila Zainudin Kauthar Mohd Daud et al.

Source: PeerJ Computer Science, Vol 10, p e2520 (2024)

Subject Terms: Deep learning, Golden eagle optimization, Convolutional long short-term memory, Non-negativity-constrained autoencoder, Spatial and temporal features, Drug response prediction, Electronic computers. Computer science, QA75.5-76.95

File Description: electronic resource

Relation: https://peerj.com/articles/cs-2520.pdf; https://peerj.com/articles/cs-2520/; https://doaj.org/toc/2376-5992

Access URL: https://doaj.org/article/b59b72f3de2a4dd4836fa038f5eed496

Self-supervised model pro efektivní rozpoznávání zvuku trénovaný na agregovaných datech ; Self-supervised model for efficient sound recognition trained on aggregated data

Authors: Vojtěch Houska Kovalenko Alexander Kordík Pavel

Contributors: Vojtěch Houska Kovalenko Alexander Kordík Pavel

Subject Terms: slabě anotovaná data, rozpoznávání zvuku, hluboké učení, autoenkodéry, nevyvážená data, učení bez učitele, k-means, Adversarially Constrained Autoencoder Interpolation, Weakly-labeled data, Sound classification, Deep learning, Autoencoders, Imbalanced data, Self-supervised learning

File Description: application/pdf

Relation: http://hdl.handle.net/10467/95039

Availability: http://hdl.handle.net/10467/95039

A computer-aided diagnostic system for detecting diabetic retinopathy in optical coherence tomography images.

Authors: ElTanboly A Ismail M Shalaby A et al.

Source: Medical physics [Med Phys] 2017 Mar; Vol. 44 (3), pp. 914-923.

Publication Type: Journal Article; Validation Study

Journal Info: Publisher: John Wiley and Sons, Inc Country of Publication: United States NLM ID: 0425746 Publication Model: Print Cited Medium: Internet ISSN: 2473-4209 (Electronic) Linking ISSN: 00942405 NLM ISO Abbreviation: Med Phys Subsets: MEDLINE

MeSH Terms: Diabetic Retinopathy/*diagnostic imaging , Image Interpretation, Computer-Assisted/*methods , Retina/*diagnostic imaging , Tomography, Optical Coherence/*methods, Adult ; Aged ; Female ; Humans ; Machine Learning ; Male ; Middle Aged ; Pattern Recognition, Automated ; Sensitivity and Specificity