Asynchronous dual-pipeline deep learning framework for online data stream classification

A drift detection method based on dynamic classifier selection

(2019) Felipe Pinagé et al.   DATA MINING AND KNOWLEDGE DISCOVERY

Kappa Updated Ensemble for drifting data stream mining

(2019) Alberto Cano et al.   MACHINE LEARNING

Recurring concept meta-learning for evolving data streams

(2019) Robert Anderson et al.   EXPERT SYSTEMS WITH APPLICATIONS

An overview and comprehensive comparison of ensembles for concept drift

(2019) Roberto Souto Maior de Barros et al.   Information Fusion

Online ensemble learning with abstaining classifiers for drifting and noisy data streams

(2018) Bartosz Krawczyk et al.   APPLIED SOFT COMPUTING

Automated EEG-based screening of depression using deep convolutional neural network

(2018) U. Rajendra Acharya et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Deep neural network for traffic sign recognition systems: An analysis of spatial transformers and stochastic optimisation methods

(2018) Álvaro Arcos-García et al.   NEURAL NETWORKS

Ensemble Classification for Skewed Data Streams Based on Neural Network

(2018) Yong Zhang et al.   INTERNATIONAL JOURNAL OF UNCERTAINTY FUZZINESS AND KNOWLEDGE-BASED SYSTEMS

Interpretable multiple data streams clustering with clipped streams representation for the improvement of electricity consumption forecasting

(2018) Peter Laurinec et al.   DATA MINING AND KNOWLEDGE DISCOVERY

Evolving rule-based classifiers with genetic programming on GPUs for drifting data streams

(2018) Alberto Cano et al.   PATTERN RECOGNITION

Fault detection and explanation through big data analysis on sensor streams

(2017) Giuseppe Manco et al.   EXPERT SYSTEMS WITH APPLICATIONS

Scalable real-time classification of data streams with concept drift

(2017) Mark Tennant et al.   Future Generation Computer Systems-The International Journal of eScience

Ensemble learning for data stream analysis: A survey

(2017) Bartosz Krawczyk et al.   Information Fusion

Benchmarking real-time vehicle data streaming models for a smart city

(2017) Jorge Y. Fernández-Rodríguez et al.   INFORMATION SYSTEMS

A dynamic prime number based efficient security mechanism for big sensing data streams

(2017) Deepak Puthal et al.   JOURNAL OF COMPUTER AND SYSTEM SCIENCES

Convolutional neural networks for time series classification

(2017) Bendong Zhao et al.   Journal of Systems Engineering and Electronics

Adaptive random forests for evolving data stream classification

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

A New Neural Dynamic Classification Algorithm

(2017) Mohammad Hossein Rafiei et al.   IEEE Transactions on Neural Networks and Learning Systems

Nearest Neighbor Classification for High-Speed Big Data Streams Using Spark

(2017) Sergio Ramirez-Gallego et al.   IEEE Transactions on Systems Man Cybernetics-Systems

Deep convolutional neural network for the automated detection and diagnosis of seizure using EEG signals

(2017) U. Rajendra Acharya et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Deep Feature Extraction and Classification of Hyperspectral Images Based on Convolutional Neural Networks

(2016) Yushi Chen et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

A method of cleaning RFID data streams based on Naive Bayes classifier

(2016) Qiao min Lin et al.   International Journal of Ad Hoc and Ubiquitous Computing

Incremental density-based ensemble clustering over evolving data streams

(2016) Imran Khan et al.   NEUROCOMPUTING

pClass: An Effective Classifier for Streaming Examples

(2015) Mahardhika Pratama et al.   IEEE TRANSACTIONS ON FUZZY SYSTEMS

Online and Non-Parametric Drift Detection Methods Based on Hoeffding’s Bounds

(2015) Isvani Frias-Blanco et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Exploiting multi-channels deep convolutional neural networks for multivariate time series classification

(2015) Yi Zheng et al.   Frontiers of Computer Science

Enhancing disease surveillance with novel data streams: challenges and opportunities

(2015) Benjamin M Althouse et al.   EPJ Data Science

A survey on concept drift adaptation

(2014) João Gama et al.   ACM COMPUTING SURVEYS

A Framework for Exploiting Local Information to Enhance Density Estimation of Data Streams

(2014) Arnold P. Boedihardjo et al.   ACM Transactions on Knowledge Discovery from Data

Application of an incremental SVM algorithm for on-line human recognition from video surveillance using texture and color features

(2013) Yanyun Lu et al.   NEUROCOMPUTING

Online neural network model for non-stationary and imbalanced data stream classification

(2013) Adel Ghazikhani et al.   International Journal of Machine Learning and Cybernetics

A Family of Joint Sparse PCA Algorithms for Anomaly Localization in Network Data Streams

(2012) Ruoyi Jiang et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

On evaluating stream learning algorithms

(2012) João Gama et al.   MACHINE LEARNING