Audio-driven High-resolution Seamless Talking Head Video Editing via StyleGAN

Multi-view uncertainty deep forest: An innovative deep forest equipped with uncertainty estimation for drug-induced liver injury prediction

An adaptive error-correcting output codes algorithm based on gene expression programming and similarity measurement matrix

An Ensemble Cascade Forest-Based Framework for Multi-Omics Drug Response and Synergy Prediction

EDST: a decision stump based ensemble algorithm for synergistic drug combination prediction

A self-adaptive soft-recoding strategy for performance improvement of error-correcting output codes

Emo-DNA: Emotion Decoupling and Alignment Learning for Cross-Corpus Speech Emotion Recognition

TWACapsNet: a capsule network with two-way attention mechanism for speech emotion recognition

Emo-DNA: Emotion Decoupling and Alignment Learning for Cross-Corpus Speech Emotion Recognition

Feature Elimination through Data Complexity for Error-Correcting Output Codes based micro-expression recognition

Revealing concealed spontaneous facial micro-expression: Are we a step closer to unveil real-life behavioral expressions?

A Genetic Algorithm-Based Ensemble Learning Framework for Drug Combination Prediction

A novel soft-coded error-correcting output codes algorithm

A novel interpretable predictive model based on ensemble learning and differential evolution algorithm for surface roughness prediction in abrasive water jet polishing

Towards Open-Set Material Recognition using Robot Tactile Sensing

Drop to Transfer: Learning Transferable Features for Robot Tactile Material Recognition in Open Scene

A Distance Transformation Deep Forest Framework With Hybrid-Feature Fusion for CXR Image Classification

Temporal Modeling Matters: A Novel Temporal Emotional Modeling Approach for Speech Emotion Recognition

Combining Structure Embedding and Text Semantics for Efficient Knowledge Graph Completion

Cluster Equality Validity Index and Efficient Clustering Optimization Strategy

EduAction: A College Student Action Dataset for Classroom Attention Estimation

MRDFF: A deep forest based framework for CT whole heart segmentation

TEMPORAL MODELING MATTERS: A NOVEL TEMPORAL EMOTIONAL MODELING APPROACH FOR SPEECH EMOTION RECOGNITION

Noninvasive Diagnostics of Lung Cancer Based on Whole Blood Surface-Enhanced Raman Spectroscopy and Deep Machine Learning

GM-TCNet: Gated Multi-scale Temporal Convolutional Network using Emotion Causality for Speech Emotion Recognition*

GM-TCNet: Gated Multi-scale Temporal Convolutional Network using Emotion Causality for Speech Emotion Recognition

Needle in a Haystack: Spotting and recognising micro-expressions "in the wild"

CTL-MTNet: A Novel CapsNet and Transfer Learning-Based Mixed Task Net for the Single-Corpus and Cross-Corpus Speech Emotion Recognition

An Algorithm Framework for Drug-Induced Liver Injury Prediction Based on Genetic Algorithm and Ensemble Learning

Feature space and label space selection based on Error-correcting output codes for partial label learning

Gm-Tcnet: Gated Multi-Scale Temporal Convolutional Network Using Emotion Causality for Speech Emotion Recognition

An enhanced cascade-based deep forest model for drug combination prediction

A Multi-View Learning-Based Rule Extraction Algorithm For Accurate Hepatotoxicity Prediction

Classroom Attention Estimation Method Based on Mining Facial Landmarks of Students

The heterogeneous ensemble of deep forest and deep neural networks for micro-expressions recognition

The design of error-correcting output codes based deep forest for the micro-expression recognition

Block Division Convolutional Network With Implicit Deep Features Augmentation for Micro-Expression Recognition

The design of evolutionary feature selection operator for the micro-expression recognition

The design of dynamic ensemble selection strategy for the error-correcting output codes family

A direct slicing technique for the 3D printing of implicitly represented medical models

Micro-expression recognition using advanced genetic algorithm

A novel error-correcting output codes based on genetic programming and ternary digit operators

FES-RF: A Feature Ensemble Selection Based Random Forest Method for Accurate Cancer Screening

A Multi-Resolution Deep Forest Framework with Hybrid Feature Fusion for CT Whole Heart Segmentation

Learning Behavior Analysis Using Clustering and Evolutionary Error Correcting Output Code Algorithms in Small Private Online Courses

The Investigation of Different Loss Functions with Capsule Networks for Speech Emotion Recognition

The design of error-correcting output codes algorithm for the open-set recognition

The design of soft recoding-based strategies for improving error-correcting output codes

Fuzzy Separation and Shrinkage Clustering

Integration of machine learning-based prediction for enhanced Model's generalization: Application in photocatalytic polishing of palm oil mill effluent (POME)

High-quality vascular modeling and modification with implicit extrusion surfaces for blood flow computations

A ternary bitwise calculator based genetic algorithm for improving error correcting output codes

The design of variable-length coding matrix for improving error correcting output codes

A novel multi-objective genetic algorithm based error correcting output codes

Partial label learning based on label distributions and error-correcting output codes

An improved deep forest for alleviating the data imbalance problem

Improving deep forest by ensemble pruning based on feature vectorization and quantum walks

Evaluation of the Spatio-Temporal Features and GAN for Micro-Expression Recognition System

The Application of Capsule Neural Network Based CNN for Speech Emotion Recognition

Imprecise Deep Forest for Partial Label Learning

A dynamic ensemble selection strategy for improving error correcting output codes algorithm

The research of ternary error-correcting output codes based on genetic programming

A novel Error-Correcting Output Codes algorithm based on genetic programming

A novel ECOC algorithm for multiclass microarray data classification based on data complexity analysis

On the design of solfeggio audio machine assessment system

A Novel Genetic Algorithm Based ECOC Algorithm

High Precision Implicit Modeling for Patient-Specific Coronary Arteries

Vascular Model Editing for 3D Printing Based on Implicit Functions

Microarray Data Classification Based on Computational Verb

A Novel Genetic Algorithm Approach to Improving Error Correction Output Coding

Accurate geometry modeling of vasculatures using implicit fitting with 2D radial basis functions

A Novel ECOC Algorithm with Centroid Distance Based Soft Coding Scheme

Scale invariant SURF detector and automatic clustering segmentation for infrared small targets detection

A genetic programming based ECOC algorithm for microarray data classification

Genetic Programming Based ECOC for Multiclass Microarray Data Classification

An ECOC Approach for Microarray Data Classification Based on Minimizing Feature Related Complexities

Multiclass Microarray Data Classification Based on SA-ECOC

A Hierarchical Ensemble of ECOC for cancer classification based on multi-class microarray data

Selection of optimal cutting parameters in parallel turnings using genetic heuristics

The detection and segmentation of vehicle occlusion based on morphology

Genetic programming based ensemble system for microarray data classification

Unsupervised feature selection algorithm based on spectral clustering and analysis of variance

Cancer Classification Using Ensemble of Error Correcting Output Codes

Fusing Decision Trees Based on Genetic Programming for Classification of Microarray Datasets

3D vasculature segmentation using localized hybrid level-set method

An ensemble of SVM classifiers based on gene pairs

Microarray data classification based on evolutionary multiple classifier system

Mixed-sampling approach to unbalanced data distributions: A case study involving Leukemia's document profiling

A GA based approach to improving the ICA based classification models for tumor classification

The Design of Evolutionary Multiple Classifier System for the Classification of Microarray Data

The application of feature selection methods to analyze the tissue microarray data

Alterations of tumor-related genes do not exactly match the histopathological grade in gastric adenocarcinomas

Microarray data classification based on ensemble independent component selection

Ensemble component selection for improving ICA based microarray data prediction models

A genetic programming-based approach to the classification of multiclass microarray datasets

A GA-based approach to ICA feature selection: An efficient method to classify microarray datasets

A new approach to improving ICA-based models for the classification of microarray data

Grooming of dynamic traffic in WDM tree networks using genetic algorithms