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A Hybrid Approach to Privacy-Preserving Federated Learning

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EEG-Based Emotion Recognition in Music Listening

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Combining SVMs with Various Feature Selection Strategies

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Obtaining well calibrated probabilities using Bayesian binning

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Early detection and classification of plant diseases with Support Vector Machines based on hyperspectral reflectance

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Cost-Sensitive Learning of Deep Feature Representations From Imbalanced Data

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Automated Pixel‐Level Pavement Crack Detection on 3D Asphalt Surfaces Using a Deep‐Learning Network

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SVMs Modeling for Highly Imbalanced Classification

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Automatic classification of patients with Alzheimer's disease from structural MRI: A comparison of ten methods using the ADNI database

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Hyperparameter optimization: Foundations, algorithms, best practices, and open challenges

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Cutting-plane training of structural SVMs

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Core Vector Machines: Fast SVM Training on Very Large Data Sets

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Characterizing the dynamics of mental representations: the temporal generalization method

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Predicting subcellular localization of proteins for Gram‐negative bacteria by support vector machines based on n ‐peptide compositions

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A tutorial review: Metabolomics and partial least squares-discriminant analysis – a marriage of convenience or a shotgun wedding

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Face Spoof Detection With Image Distortion Analysis

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Spectral and spatial classification of hyperspectral data using SVMs and morphological profiles

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Machine Learning for Predictive Maintenance: A Multiple Classifier Approach

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Towards Understanding Action Recognition

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Patch-Based Convolutional Neural Network for Whole Slide Tissue Image Classification

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Sentiment Analysis of Short Informal Texts

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A dual coordinate descent method for large-scale linear SVM

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Predicting direction of stock price index movement using artificial neural networks and support vector machines: The sample of the Istanbul Stock Exchange

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DISOPRED3: precise disordered region predictions with annotated protein-binding activity

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An Efficient Dense and Scale-Invariant Spatio-Temporal Interest Point Detector

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A note on Platt’s probabilistic outputs for support vector machines

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Bankruptcy prediction using support vector machine with optimal choice of kernel function parameters

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Machine Learning and Deep Learning frameworks and libraries for large-scale data mining: a survey

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Ensemble of exemplar-SVMs for object detection and beyond

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Wireless device identification with radiometric signatures

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PredictSNP: Robust and Accurate Consensus Classifier for Prediction of Disease-Related Mutations

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WiFall: Device-Free Fall Detection by Wireless Networks

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Load Forecasting Using Support Vector Machines: A Study on EUNITE Competition 2001

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A User’s Guide to Support Vector Machines

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A comprehensive evaluation of multicategory classification methods for microarray gene expression cancer diagnosis

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Machine Learning in Predictive Maintenance towards Sustainable Smart Manufacturing in Industry 4.0

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Evaluating machine learning and statistical prediction techniques for landslide susceptibility modeling

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The devil is in the details: an evaluation of recent feature encoding methods

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Scene Text Recognition using Higher Order Language Priors

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Support Vector Machine-Based Classification Scheme for Myoelectric Control Applied to Upper Limb

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Leafsnap: A Computer Vision System for Automatic Plant Species Identification

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Credit scoring with a data mining approach based on support vector machines

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Applying support vector machines to predict building energy consumption in tropical region

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Physical Human Activity Recognition Using Wearable Sensors

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Modeling and forecasting building energy consumption: A review of data-driven techniques

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MaltParser: A language-independent system for data-driven dependency parsing

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Hierarchical Graph Representation Learning with Differentiable PoolingPreprint

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NRC-Canada: Building the State-of-the-Art in Sentiment Analysis of TweetsPreprint

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Cross-VM side channels and their use to extract private keys

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PLEK: a tool for predicting long non-coding RNAs and messenger RNAs based on an improved k-mer scheme

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DISFA: A Spontaneous Facial Action Intensity Database

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Tactile sensing in dexterous robot hands — Review

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HCP: A Flexible CNN Framework for Multi-Label Image Classification

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Automatic Classification of Artifactual ICA-Components for Artifact Removal in EEG Signals

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The support vector machine under test

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A boosted decision tree approach using Bayesian hyper-parameter optimization for credit scoring

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Interpretable classifiers using rules and Bayesian analysis: Building a better stroke prediction model

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OP-ELM: Optimally Pruned Extreme Learning Machine

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The 2005 PASCAL Visual Object Classes Challenge

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Emotional state classification from EEG data using machine learning approach

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On Deep Multi-View Representation Learning

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Temporal convolutional neural (TCN) network for an effective weather forecasting using time-series data from the local weather station

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The Opportunity challenge: A benchmark database for on-body sensor-based activity recognition

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Projective image restoration using sparsity regularization

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Document-level sentiment classification: An empirical comparison between SVM and ANN

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Generative Adversarial Networks for Hyperspectral Image Classification

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Novel Speech Signal Processing Algorithms for High-Accuracy Classification of Parkinson’s Disease

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A Biologically Inspired System for Action Recognition

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An extensive experimental comparison of methods for multi-label learning

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Road-Sign Detection and Recognition Based on Support Vector Machines

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Marginalized Denoising Autoencoders for Domain AdaptationPreprint

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No-reference image quality assessment based on spatial and spectral entropies

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Multimodal Emotion Recognition in Response to Videos

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Semantic point cloud interpretation based on optimal neighborhoods, relevant features and efficient classifiers

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The brain basis of positive and negative affect: evidence from a meta-analysis of the human neuroimaging literature

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Modeling Temporal Structure of Decomposable Motion Segments for Activity Classification

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Privacy-Preserving Traffic Flow Prediction: A Federated Learning Approach

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Rethinking RGB-D Salient Object Detection: Models, Data Sets, and Large-Scale Benchmarks

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Spectral–Spatial Hyperspectral Image Classification With Edge-Preserving Filtering

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A Generalized Growing and Pruning RBF (GGAP-RBF) Neural Network for Function Approximation

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Support Vector Machines and Kernels for Computational Biology

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Two-Stream Neural Networks for Tampered Face Detection

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NRC-Canada-2014: Detecting Aspects and Sentiment in Customer Reviews

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Performance Comparison of Support Vector Machine, Random Forest, and Extreme Learning Machine for Intrusion Detection

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SOLpro: accurate sequence-based prediction of protein solubility

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Automatic Detection of Cerebral Microbleeds From MR Images via 3D Convolutional Neural Networks

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Multi-modal multi-task learning for joint prediction of multiple regression and classification variables in Alzheimer's disease

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Scene Classification Using a Hybrid Generative/Discriminative Approach

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Human orbitofrontal cortex represents a cognitive map of state space

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Face spoofing detection from single images using micro-texture analysis

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Spectral–Spatial Classification of Hyperspectral Imagery Based on Partitional Clustering Techniques

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