Luis Rueda

ColabFold: making protein folding accessible to all

Fruits and vegetables quality evaluation using computer vision: A review

Multimodal biomedical AI

Child sex tourism: Facilitating conditions, legal remedies, and other interventions

A roadmap for multi-omics data integration using deep learning

Deep Residual Shrinkage Networks for Fault Diagnosis

Identifying At-Risk Students for Early Interventions—A Time-Series Clustering Approach

Automatic image analysis and spot classification for detection of fruit fly infestation in hyperspectral images of mangoes

Information Fusion and Semi-Supervised Deep Learning Scheme for Diagnosing Gear Faults in Induction Machine Systems

Computer vision and deep learning techniques for pedestrian detection and tracking: A survey

Eukaryotic genomes from a global metagenomic data set illuminate trophic modes and biogeography of ocean plankton

Applications of machine learning to machine fault diagnosis: A review and roadmap

SMOTE for Learning from Imbalanced Data: Progress and Challenges, Marking the 15-year Anniversary

High-dimensional and large-scale anomaly detection using a linear one-class SVM with deep learning

Hospitality, tourism, human rights and the impact of COVID-19

Time-series clustering – A decade review

An overview of ensemble methods for binary classifiers in multi-class problems: Experimental study on one-vs-one and one-vs-all schemes

Deep learning with convolutional neural networks for EEG decoding and visualization

Random Walk-Based Solution to Triple Level Stochastic Point Location Problem

Fault diagnosis of rolling bearing based on feature reduction with global-local margin Fisher analysis

Big Data and cloud computing: innovation opportunities and challenges

A Machine Learning Approach for Identifying Gene Biomarkers Guiding the Treatment of Breast Cancer

A Hill-Climbing Approach for Automatic Gridding of cDNA Microarray Images

Efficient feature extraction of vibration signals for diagnosing bearing defects in induction motors

iSOM-GSN: an integrative approach for transforming multi-omic data into gene similarity networks via self-organizing maps

Multi-class pairwise linear dimensionality reduction using heteroscedastic schemes

Multiple gene expression profile alignment for microarray time-series data clustering

Stochastic learning-based weak estimation of multinomial random variables and its applications to pattern recognition in non-stationary environments

A Hybrid Scheme for Fault Diagnosis with Partially Labeled Sets of Observations

Cyber child pornography: A review paper of the social and legal issues and remedies—and a proposed technological solution