Related references
Note: Only part of the references are listed.EventiC: A Real-Time Unbiased Event-Based Learning Technique for Complex Systems
Morad Danishvar et al.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS (2020)
Fault Diagnosis in Microelectronics Attachment Via Deep Learning Analysis of 3-D Laser Scans
Nikolaos Dimitriou et al.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2020)
Relaxed Rule-Based Learning for Automated Predictive Maintenance: Proof of Concept
Margarita Razgon et al.
ALGORITHMS (2020)
A Review and Analysis of Automatic Optical Inspection and Quality Monitoring Methods in Electronics Industry
Abd Al Rahman M. Abu Ebayyeh et al.
IEEE ACCESS (2020)
A Multiple Model Approach to Time-Series Prediction Using an Online Sequential Learning Algorithm
Koshy George et al.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS (2019)
Instance reduction for one-class classification
Bartosz Krawczyk et al.
KNOWLEDGE AND INFORMATION SYSTEMS (2019)
Nonlinear autoregressive and random forest approaches to forecasting electricity load for utility energy management systems
Tanveer Ahmad et al.
SUSTAINABLE CITIES AND SOCIETY (2019)
A sequential learning method with Kalman filter and extreme learning machine for regression and time series forecasting
Jarley P. Nobrega et al.
NEUROCOMPUTING (2019)
Time series feature learning with labeled and unlabeled data
Haishuai Wang et al.
PATTERN RECOGNITION (2019)
A review on distance based time series classification
Amaia Abanda et al.
DATA MINING AND KNOWLEDGE DISCOVERY (2019)
EGEP: An Event Tracker Enhanced Gene Expression Programming for Data Driven System Engineering Problems
Zhengwen Huang et al.
IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTATIONAL INTELLIGENCE (2019)
A Real-Time Sequential Ship Roll Prediction Scheme Based on Adaptive Sliding Data Window
Jianchuan Yin et al.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS (2018)
Theta oscillations promote temporal sequence learning
Jordan Crivelli-Decker et al.
NEUROBIOLOGY OF LEARNING AND MEMORY (2018)
Motor Sequence Learning in the Brain: The Long and Short of It
C. C. Gonzalez et al.
NEUROSCIENCE (2018)
Efficient kNN Classification With Different Numbers of Nearest Neighbors
Shichao Zhang et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2018)
A Regularization Approach for Instance-Based Superset Label Learning
Chen Gong et al.
IEEE TRANSACTIONS ON CYBERNETICS (2018)
Combining three strategies for evolutionary instance selection for instance-based learning
Aida de Haro-Garcia et al.
SWARM AND EVOLUTIONARY COMPUTATION (2018)
A Very Brief Introduction to Machine Learning With Applications to Communication Systems
Osvaldo Simeone
IEEE TRANSACTIONS ON COGNITIVE COMMUNICATIONS AND NETWORKING (2018)
A framework for inspection of dies attachment on PCB utilizing machine learning techniques
Thanasis Vafeiadis et al.
JOURNAL OF MANAGEMENT ANALYTICS (2018)
A Temporal Sequence Learning for Action Recognition and Prediction
Sangwoo Cho et al.
2018 IEEE WINTER CONFERENCE ON APPLICATIONS OF COMPUTER VISION (WACV 2018) (2018)
A feature weighted support vector machine and K-nearest neighbor algorithm for stock market indices prediction
Yingjun Chen et al.
EXPERT SYSTEMS WITH APPLICATIONS (2017)
Multi-class sentiment classification: The experimental comparisons of feature selection and machine learning algorithms
Yang Liu et al.
EXPERT SYSTEMS WITH APPLICATIONS (2017)
Anomaly detection based on a dynamic Markov model
Huorong Ren et al.
INFORMATION SCIENCES (2017)
KRNN: k Rare-class Nearest Neighbour classification
Xiuzhen Zhang et al.
PATTERN RECOGNITION (2017)
Accurate prediction of nanofluid viscosity using a multilayer perceptron artificial neural network (MLP-ANN)
Elham Heidari et al.
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS (2016)
Pattern Based Sequence Classification
Cheng Zhou et al.
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING (2016)
Continuous Online Sequence Learning with an Unsupervised Neural Network Model
Yuwei Cui et al.
NEURAL COMPUTATION (2016)
Statistical Comparisons of the Top 10 Algorithms in Data Mining for Classification Task
Nesma Settouti et al.
INTERNATIONAL JOURNAL OF INTERACTIVE MULTIMEDIA AND ARTIFICIAL INTELLIGENCE (2016)
Failure Prediction of Metal Oxide Varistor Using Nonlinear Surge Look-up Table Based on Experimental Data
Young Sun Kim
TRANSACTIONS ON ELECTRICAL AND ELECTRONIC MATERIALS (2015)
Learning to predict: Exposure to temporal sequences facilitates prediction of future events
Rosalind Baker et al.
VISION RESEARCH (2014)
Event Tracking for Real-Time Unaware Sensitivity Analysis (EventTracker)
Siamak Tavakoli et al.
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING (2013)
Anomaly Detection for Discrete Sequences: A Survey
Varun Chandola et al.
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING (2012)
Temporal sequence learning, prediction, and control:: A review of different models and their relation to biological mechanisms
F Wörgötter et al.
NEURAL COMPUTATION (2005)
Share Paper
