Search Word(s) in Title, Keywords, Authors, and Abstract: Machine Learning

Deep Learning in Genomic and Medical Image Data Analysis: Challenges and Approaches
Ning Yu, Zeng Yu, Feng Gu, Tianrui Li, Xinmin Tian and Yi Pan
Page: 204~214, Vol. 13, No.2, 2017

Keywords: Bioinformatics, Deep Learning, Deep Neural Networks, DNA Genome Analysis, Image Data Analysis, Machine Learning, lincRNA
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A Comprehensive Review of Emerging Computational Methods for Gene Identification
Ning Yu, Zeng Yu, Bing Li, Feng Gu and Yi Pan
Page: 1~34, Vol. 12, No.1, 2016

Keywords: Cloud Computing, Comparative Methods, Deep Learning, Fourier Transform, Gene Identification, Gene Prediction, Hidden Markov Model, Machine Learning, Protein-Coding Region, Support Vector Machine
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Two Machine Learning Models for Mobile Phone Battery Discharge Rate Prediction Based on Usage Patterns
Chantana Chantrapornchai and Paingruthai Nusawat
Page: 436~454, Vol. 12, No.3, 2016

Keywords: Battery Discharge Rate, Mobile Battery Usage, Multi-Layer Perceptron, Prediction Model, Support Vector Machine
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Dynamic knowledge mapping guided by data mining: Application on Healthcare
Menaouer Brahami, Baghdad Atmani and Nada Matta
Page: 1~30, Vol. 9, No.1, 2013
Keywords: Knowledge Management, Knowledge Mapping (Knowledge Cartography), Knowledge Representation, Boolean Modeling, Cellular Machine, Data Mining, Boolean Inference Engine
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Fault Prediction Using Statistical and Machine Learning Methods for Improving Software Quality
Ruchika Malhotra and Ankita Jain
Page: 241~262, Vol. 8, No.2, 2012
Keywords: Empirical Validation, Object Oriented, Receiver Operating Characteristics, Statistical Methods, Machine Learning, Fault Prediction
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Machine Learning Based Keyphrase Extraction: Comparing Decision Trees, Naïve Bayes, and Artificial Neural Networks
Kamal Sarkar, Mita Nasipuri and Suranjan Ghose
Page: 693~712, Vol. 8, No.4, 2012
Keywords: Keyphrase Extraction, Decision Tree, Naïve Bayes, Artificial Neural Networks, Machine Learning, WEKA
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A Classifiable Sub-Flow Selection Method for Traffic Classification in Mobile IP Networks
Akihiro Satoh, Toshiaki Osada, Toru Abe, Gen Kitagata, Norio Shiratori and Tetsuo Kinoshita
Page: 307~322, Vol. 6, No.3, 2010
Keywords: Mobile IP Network, Traffic Classification, Network Management, Traffic Engineering, Machine Learning
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A Feature Selection Technique based on Distributional Differences
Sung-Dong Kim
Page: 23~27, Vol. 2, No.1, 2006
Keywords: Feature Selection, Distributional Differences
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Vehicle Classification by Road Lane Detection and Model Fitting Using a Surveillance Camera
Wook-Sun Shin, Doo-Heon Song and Chang-Hun Lee
Page: 52~57, Vol. 2, No.1, 2006
Keywords: Vehicle Type classification, Road Lane Detection, Model fitting, Vanishing Point, Machine Learning
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Robust Real-time Intrusion Detection System
Byung-Joo Kim and Il-Kon Kim
Page: 9~13, Vol. 1, No.1, 2005
Keywords: real-time IDS, kernel PCA. LS-SVM
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A Multiple Instance Learning Problem Approach Model to Anomaly Network Intrusion Detection
Ill-Young Weon, Doo-Heon Song, Sung-Bum Ko and Chang-Hoon Lee
Page: 14~21, Vol. 1, No.1, 2005
Keywords: Multiple Instance Learning Problem, Network Intrusion Detection, Anomaly Detection
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Prediction & Assessment of Change Prone Classes Using Statistical & Machine Learning Techniques
Ruchika Malhotra and Ravi Jangra
Page: 0~0, Vol. 0, No.0, 0
Keywords: Change Proneness, Empirical Validation, Machine Learning Techniques, Software Quality
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