Similarity-Based Adaptive Window for Improving Classification of Epileptic Seizures with Imbalance EEG Data Stream

Evaluation of Feature Selection Methods for Classification of Epileptic Seizure EEG Signals

(2022) Sergio E. Sánchez-Hernández et al.   SENSORS

An Adaptive Classification Model for Predicting Epileptic Seizures Using Cloud Computing Service Architecture

(2022) Hayder K. Fatlawi et al.   Applied Sciences-Basel

Efficient density and cluster based incremental outlier detection in data streams

(2022) Ali Degirmenci et al.   INFORMATION SCIENCES

A Similarity Measurement for Time Series and its Application to the Stock Market

(2021) Feng Zhao et al.   EXPERT SYSTEMS WITH APPLICATIONS

Online ensemble learning algorithm for imbalanced data stream

(2021) Hongle Du et al.   APPLIED SOFT COMPUTING

Geometric Deep Learning for Subject Independent Epileptic Seizure Prediction Using Scalp EEG Signals

(2021) Theekshana Dissanayake et al.   IEEE Journal of Biomedical and Health Informatics

A Survey on EEG Signal Processing Techniques and Machine Learning: Applications to the Neurofeedback of Autobiographical Memory Deficits in Schizophrenia

(2021) Miguel Luján et al.   Electronics

Application of graph theory to mining the similarity of travel trajectories

(2021) Sangwon Park et al.   TOURISM MANAGEMENT

Detecting Epileptic Seizures in EEG Signals with Complementary Ensemble Empirical Mode Decomposition and Extreme Gradient Boosting

(2020) Jiang Wu et al.   Entropy

Incremental learning imbalanced data streams with concept drift: The dynamic updated ensemble algorithm

(2020) Zeng Li et al.   KNOWLEDGE-BASED SYSTEMS

A fusion collaborative filtering method for sparse data in recommender systems

(2020) Chenjiao Feng et al.   INFORMATION SCIENCES

Combined kNN Classification and Hierarchical Similarity Hash for Fast Malware Detection

(2020) Sunoh Choi   Applied Sciences-Basel

EEG Synchronization Analysis for Seizure Prediction: A Study on Data of Noninvasive Recordings

(2020) Paolo Detti et al.   Processes

RSMOTE: A self-adaptive robust SMOTE for imbalanced problems with label noise

(2020) Baiyun Chen et al.   INFORMATION SCIENCES

A novel progressively undersampling method based on the density peaks sequence for imbalanced data

(2020) Xiaoying Xie et al.   KNOWLEDGE-BASED SYSTEMS

An efficient recommendation generation using relevant Jaccard similarity

(2019) Sujoy Bag et al.   INFORMATION SCIENCES

Comparison of Similarity Measures for Categorical Data in Hierarchical Clustering

(2019) Zdeněk Šulc et al.   JOURNAL OF CLASSIFICATION

Global, regional, and national burden of epilepsy, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016

(2019) Ettore Beghi et al.   LANCET NEUROLOGY

A sub-one quasi-norm-based similarity measure for collaborative filtering in recommender systems

(2019) Shan Jiang et al.   INFORMATION SCIENCES

Clustering with similarity preserving

(2019) Zhao Kang et al.   NEUROCOMPUTING

A new similarity measure for collaborative filtering based recommender systems

(2019) Achraf Gazdar et al.   KNOWLEDGE-BASED SYSTEMS

Using similarity measures in prediction of changes in financial market stream data—Experimental approach

(2019) Przemysław Juszczuk et al.   DATA & KNOWLEDGE ENGINEERING

The Entropy-Based Time Domain Feature Extraction for Online Concept Drift Detection

(2019) Fengqian Ding et al.   Entropy

A Lasso quantile periodogram based feature extraction for EEG-based motor imagery

(2019) Aymen Meziani et al.   JOURNAL OF NEUROSCIENCE METHODS

Time series for early churn detection: Using similarity based classification for dynamic networks

(2018) María Óskarsdóttir et al.   EXPERT SYSTEMS WITH APPLICATIONS

New similarity measures of intuitionistic fuzzy sets based on the Jaccard index with its application to clustering

(2018) Chao-Ming Hwang et al.   INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS

The Gradual Resampling Ensemble for mining imbalanced data streams with concept drift

(2018) Siqi Ren et al.   NEUROCOMPUTING

Generalized class-specific kernelized extreme learning machine for multiclass imbalanced learning

(2018) Bhagat Singh Raghuwanshi et al.   EXPERT SYSTEMS WITH APPLICATIONS

Adaptive random forests for evolving data stream classification

(2017) Heitor M. Gomes et al.   MACHINE LEARNING

Classifying Data Streams with Skewed Class Distributions and Concept Drifts

(2008) Jing Gao et al.   IEEE INTERNET COMPUTING