Gene Selection for Cancer Classification using Support Vector Machines

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ACO Resampling: Enhancing the performance of oversampling methods for class imbalance classification

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Hepatic Molecular Signatures Highlight the Sexual Dimorphism of Nonalcoholic Steatohepatitis (NASH)

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The Automatic Detection of Speech Disorders in Children: Challenges, Opportunities, and Preliminary Results

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A Decision-Support Tool for Renal Mass Classification

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Co-Design and Evaluation of an Intelligent Decision Support System for Stroke Rehabilitation Assessment

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Insecure attachment and maladaptive emotion regulation mediating the relationship between childhood trauma and borderline personality features

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Sleep quality prediction in caregivers using physiological signals

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Predicting remission after internet-delivered psychotherapy in patients with depression using machine learning and multi-modal data

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Application of a semi-automated vocal fingerprinting approach to monitor Bornean gibbon females in an experimentally fragmented landscape in Sabah, Malaysia

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Support vector machine analysis of functional magnetic resonance imaging of interoception does not reliably predict individual outcomes of cognitive behavioral therapy in panic disorder with agoraphobia

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Multiple ROI selection based focal liver lesion classification in ultrasound images

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From discourse to pathology: Automatic identification of Parkinson's disease patients via morphological measures across three languages

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Aberrant working memory processing in major depression: evidence from multivoxel pattern classification

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DNA Methylation Atlas of the Mouse Brain at Single-Cell Resolution

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Prediction of developmental chemical toxicity based on gene networks of human embryonic stem cells

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Specific white matter tracts and diffusion properties predict conversion from mild cognitive impairment to Alzheimer’s disease.

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Trust in news on social media

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Global transcriptional analysis of primitive thymocytes reveals accelerated dynamics of T cell specification in fetal stages

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Combining Heterogeneous Data Sources for Neuroimaging Based Diagnosis: Re-Weighting and Selecting What Is Important

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Automatic Quality Control of Crowdsourced Rainfall Data With Multiple Noises: A Machine Learning Approach

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Uncovering social-contextual and individual mental health factors associated with violence via computational inference

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Stacking machine learning algorithms for biomarker-based preoperative diagnosis of a pelvic mass

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Combined Physics- and Machine-Learning-Based Method to Identify Druggable Binding Sites Using SILCS-Hotspots

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Improved Churn Causal Analysis Through Restrained High-Dimensional Feature Space Effects in Financial Institutions

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Aphasia severity prediction using a multi-modal machine learning approach

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Artificial intelligence (AI)-driven technologies for managing pediatric speech and language therapy: A scoping review

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Parsimonious statistical learning models for low flow estimation

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Submitted to Machine Learning. Summary

Guyon, I., Weston, J., & Barnhill, S. D. (2008)

Gene selection and classification for microarray data of colon and normal tissues using genetic algorithms

He, A. (2007) · Computer Engineering and Applications Journal

Gene Extraction for Cancer Diagnosis by Support Vector Machines

Huang, T.-M., & Kecman, V. (2005) · Lecture notes in computer science · doi:10.1007/11550822_96 · Cited by 15

Gene selection using genetic algorithm and support vectors machines

Shutao Li, A., Wu, X., & Hu, X. (2008) · Soft Computing · doi:10.1007/s00500-007-0251-2 · Cited by 64

Gene Selection for Cancer Classification Using Relevance Vector Machine

Zhang, W., & Liu, J. (2007) · International Conference on Bioinformatics and Biomedical Engineering · doi:10.1109/icbbe.2007.50 · Cited by 1