AIMC Topic: Supervised Machine Learning

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Semi-Supervised Multimodal Representation Learning Through a Global Workspace.

IEEE transactions on neural networks and learning systems May 2, 2025
Recent deep learning models can efficiently combine inputs from different modalities (e.g., images and text) and learn to align their latent representations or to translate signals from one domain to another (as in image captioning or text-to-image g...
Humans Supervised Machine Learning Databases, Factual Neural Networks, Computer Animals Deep Learning Algorithms
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Identification of relevant features using SEQENS to improve supervised machine learning models predicting AML treatment outcome.

BMC medical informatics and decision making May 1, 2025
BACKGROUND AND OBJECTIVE: This study has two main objectives. First, to evaluate a feature selection methodology based on SEQENS, an algorithm for identifying relevant variables. Second, to validate machine learning models that predict the risk of co...
Aged Young Adult Adult Humans Female Supervised Machine Learning Spain Leukemia, Myeloid, Acute Male Middle Aged
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Supervised and unsupervised learning reveal heroin-induced impairments in astrocyte structural plasticity.

Science advances Apr 30, 2025
Astrocytes regulate synaptic activity across large brain territories via their complex, interconnected morphology. Emerging evidence supports the involvement of astrocytes in shaping relapse to opioid use through morphological rearrangements in the n...
Animals Male Neuronal Plasticity Nucleus Accumbens Unsupervised Machine Learning Astrocytes Supervised Machine Learning Heroin
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Self-supervised learning for label-free segmentation in cardiac ultrasound.

Nature communications Apr 30, 2025
Segmentation and measurement of cardiac chambers from ultrasound is critical, but laborious and poorly reproducible. Neural networks can assist, but supervised approaches require the same problematic manual annotations. We build a pipeline for self-s...
Heart Ventricles Echocardiography Image Processing, Computer-Assisted Female Supervised Machine Learning Humans Deep Learning Reproducibility of Results Magnetic Resonance Imaging Neural Networks, Computer Male Heart
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Tiny Convolutional Neural Network with Supervised Contrastive Learning for Epileptic Seizure Prediction.

International journal of neural systems Apr 28, 2025
Automatic seizure prediction based on ElectroEncephaloGraphy (EEG) ensures the safety of patients with epilepsy and mitigates anxiety. In recent years, significant progress has been made in this field. However, the predictive performance of existing ...
Humans Seizures Convolutional Neural Networks Supervised Machine Learning Electroencephalography Fourier Analysis Epilepsy
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Predictive modeling of response to repetitive transcranial magnetic stimulation in treatment-resistant depression.

Translational psychiatry Apr 27, 2025
Identifying predictors of treatment response to repetitive transcranial magnetic stimulation (rTMS) remain elusive in treatment-resistant depression (TRD). Leveraging electronic medical records (EMR), this retrospective cohort study applied supervise...
Male Middle Aged Treatment Outcome Supervised Machine Learning Transcranial Magnetic Stimulation Depressive Disorder, Treatment-Resistant Female Aged Adult Humans Retrospective Studies Electronic Health Records
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TransAnno-Net: A Deep Learning Framework for Accurate Cell Type Annotation of Mouse Lung Tissue Using Self-supervised Pretraining.

Computer methods and programs in biomedicine Apr 24, 2025
BACKGROUND: Single-cell RNA sequencing (scRNA-seq) has become a significant tool for addressing complex issuess in the field of biology. In the context of scRNA-seq analysis, it is imperative to accurately determine the type of each cell. However, co...
Sequence Analysis, RNA Supervised Machine Learning Mice Computational Biology Algorithms Animals Lung Deep Learning Single-Cell Analysis
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SS-EMERGE - self-supervised enhancement for multidimension emotion recognition using GNNs for EEG.

Scientific reports Apr 24, 2025
Self-supervised learning (SSL) is a potent method for leveraging unlabelled data. Nonetheless, EEG signals, characterised by their low signal-to-noise ratio and high-frequency attributes, often do not surpass fully-supervised techniques in cross-subj...
Supervised Machine Learning Algorithms Humans Emotions Neural Networks, Computer Electroencephalography
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SegMatch: semi-supervised surgical instrument segmentation.

Scientific reports Apr 23, 2025
Surgical instrument segmentation is recognised as a key enabler in providing advanced surgical assistance and improving computer-assisted interventions. In this work, we propose SegMatch, a semi-supervised learning method to reduce the need for expen...
Surgical Instruments Surgery, Computer-Assisted Supervised Machine Learning Humans Algorithms Image Processing, Computer-Assisted Laparoscopy Robotic Surgical Procedures
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Ambiguity-aware semi-supervised learning for leaf disease classification.

Scientific reports Apr 23, 2025
In deep learning, Semi-Supervised Learning is a highly effective technique to enhances neural network training by leveraging both labeled and unlabeled data. This process involves using a trained model to generate pseudo labels to the unlabeled sampl...
Deep Learning Plant Leaves Supervised Machine Learning Plant Diseases Musa Neural Networks, Computer Algorithms
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