AIMC Topic: Autoencoder

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Multi-Omics Deep-Learning Prediction of Homologous Recombination Deficiency-Like Phenotype Improved Risk Stratification and Guided Therapeutic Decisions in Gynecological Cancers.

IEEE journal of biomedical and health informatics Mar 6, 2025
Homologous recombination deficiency (HRD) is a well-recognized important biomarker in determining the clinical benefits of platinum-based chemotherapy and PARP inhibitor therapy for patients diagnosed with gynecologic cancers. Accurate prediction of ...
Biomarkers, Tumor Risk Assessment Genomics Phenotype Female Genital Neoplasms, Female Autoencoder Homologous Recombination DNA Methylation Ovarian Neoplasms Multiomics Humans
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Near-lossless EEG signal compression using a convolutional autoencoder: Case study for 256-channel binocular rivalry dataset.

Computers in biology and medicine Mar 5, 2025
Electroencephalography (EEG) experiments typically generate vast amounts of data due to the high sampling rates and the use of multiple electrodes to capture brain activity. Consequently, storing and transmitting these large datasets is challenging, ...
Electroencephalography Signal Processing, Computer-Assisted Humans Autoencoder Data Compression Neural Networks, Computer
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AD-VAE: Adversarial Disentangling Variational Autoencoder.

Sensors (Basel, Switzerland) Mar 4, 2025
Face recognition (FR) is a less intrusive biometrics technology with various applications, such as security, surveillance, and access control systems. FR remains challenging, especially when there is only a single image per person as a gallery datase...
Humans Deep Learning Image Processing, Computer-Assisted Automated Facial Recognition Neural Networks, Computer Algorithms Autoencoder Face Biometric Identification
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Improving explanations for medical X-ray diagnosis combining variational autoencoders and adversarial machine learning.

Computers in biology and medicine Feb 24, 2025
Explainability in Medical Computer Vision is one of the most sensible implementations of Artificial Intelligence nowadays in healthcare. In this work, we propose a novel Deep Learning architecture for eXplainable Artificial Intelligence, specially de...
Algorithms Deep Learning Autoencoder Image Processing, Computer-Assisted Humans Neural Networks, Computer Machine Learning
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Sensory-biased autoencoder enables prediction of texture perception from food rheology.

Food research international (Ottawa, Ont.) Feb 15, 2025
Understanding how the physical properties of food affect sensory perception remains a critical challenge for food design. Here, we present an innovative machine learning strategy to decode the complex relationships between non-Newtonian rheological a...
Neural Networks, Computer Machine Learning Young Adult Adult Female Rheology Humans Food Male Autoencoder Taste
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Circular RNA-Drug Association Prediction Based on Multi-Scale Convolutional Neural Networks and Adversarial Autoencoders.

International journal of molecular sciences Feb 11, 2025
The prediction of circular RNA (circRNA)-drug associations plays a crucial role in understanding disease mechanisms and identifying potential therapeutic targets. Traditional methods often struggle to cope with the complexity of heterogeneous network...
Autoencoder RNA, Circular Neural Networks, Computer Algorithms Humans Computational Biology Pharmaceutical Preparations Convolutional Neural Networks
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Generative and contrastive graph representation learning with message passing.

Neural networks : the official journal of the International Neural Network Society Feb 6, 2025
Self-supervised graph representation learning (SSGRL) has emerged as a promising approach for graph embeddings because it does not rely on manual labels. SSGRL methods are generally divided into generative and contrastive approaches. Generative metho...
Autoencoder Graph Neural Networks Supervised Machine Learning Datasets as Topic Generative Artificial Intelligence
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Deterministic Autoencoder using Wasserstein loss for tabular data generation.

Neural networks : the official journal of the International Neural Network Society Jan 29, 2025
Tabular data generation is a complex task due to its distinctive characteristics and inherent complexities. While Variational Autoencoders have been adapted from the computer vision domain for tabular data synthesis, their reliance on non-determinist...
Humans Algorithms Deep Learning Autoencoder Neural Networks, Computer
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A Fusion Network With Stacked Denoise Autoencoder and Meta Learning for Lateral Walking Gait Phase Recognition and Multi-Step-Ahead Prediction.

IEEE journal of biomedical and health informatics Jan 7, 2025
Lateral walking gait phase recognition and prediction are the premise of hip exoskeleton application in lateral resistance walk exercise. We presented a fusion network with stacked denoise autoencoder and meta learning (SDA-NN-ML) to recognize gait p...
Gait Autoencoder Signal Processing, Computer-Assisted Walking Humans Adult Neural Networks, Computer Male Female Machine Learning Support Vector Machine Young Adult
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Spatiotemporal multi-feature fusion vehicle trajectory anomaly detection for intelligent transportation: An improved method combining autoencoders and dynamic Bayesian networks.

Accident; analysis and prevention Jan 3, 2025
With the continuous development of intelligent transportation systems, traffic safety has become a major societal concern, and vehicle trajectory anomaly detection technology has emerged as a crucial method to ensure safety. However, current technolo...
China Autoencoder Time Factors Autonomous Vehicles Bayes Theorem Models, Statistical Accidents, Traffic
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