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14th ICMLA 2015: Miami, FL, USA
- Tao Li, Lukasz A. Kurgan, Vasile Palade, Randy Goebel, Andreas Holzinger, Karin Verspoor, M. Arif Wani:
14th IEEE International Conference on Machine Learning and Applications, ICMLA 2015, Miami, FL, USA, December 9-11, 2015. IEEE 2015, ISBN 978-1-5090-0287-0
Fuzzy Systems
- George Georgiev, Natacha Gueorguieva, Matthew Chiappa, Austin Krauza:
Feature Selection Using Gustafson-Kessel Fuzzy Algorithm in High Dimension Data Clustering. 1-6 - Bin-Bin Gao
, Jian-Jun Wang, Yao Wang, Chan-Yun Yang:
Coordinate Descent Fuzzy Twin Support Vector Machine for Classification. 7-12 - Ahmed A. Othman, Hamid R. Tizhoosh, Farzad Khalvati:
Self-Configuring and Evolving Fuzzy Image Thresholding. 13-18 - Shiqi Qiu, Ryan A. McGee, Yi Lu Murphey:
Adaptive Fuzzy Prediction for Automotive Applications Usage. 19-24
Time Series
- Tony Ribeiro, Morgan Magnin, Katsumi Inoue
Learning Multi-valued Biological Models with Delayed Influence from Time-Series Observations. 25-31 - Gautier Marti, Philippe Very, Philippe Donnat, Frank Nielsen
A Proposal of a Methodological Framework with Experimental Guidelines to Investigate Clustering Stability on Financial Time Series. 32-37 - Alexander Lavin
Evaluating Real-Time Anomaly Detection Algorithms - The Numenta Anomaly Benchmark. 38-44 - Antonio Rafael Sabino Parmezan
A Study of the Use of Complexity Measures in the Similarity Search Process Adopted by kNN Algorithm for Time Series Prediction. 45-51
Statistical Learning
- Yi Wei, Vipin Chaudhary
The Influence of Sample Reconstruction on Stock Trend Prediction via NARX Neural Network. 52-57 - Akbar Siami Namin:
Statistical Fault Localization Based on Importance Sampling. 58-63 - Alexander V. Bernstein, Alexander P. Kuleshov, Yury Yanovich
Statistical Learning via Manifold Learning. 64-69 - Wentao Fan
Topic Novelty Detection Using Infinite Variational Inverted Dirichlet Mixture Models. 70-75
Bayesian Learning and Classifier Systems
- Yang Shao, Toshinori Miyoshi, Yasutaka Hasegawa, Hideyuki Ban:
Evaluating the Uncertainty of a Bayesian Network Query Response by Using Joint Probability Distribution. 76-81 - Erik M. Ferragut, Jason A. Laska:
Nonparametric Bayesian Modeling for Automated Database Schema Matching. 82-88 - Mohammed Falih Hassan
Performance Analysis of Majority Vote Combiner for Multiple Classifier Systems. 89-95 - Joseph D. Prusa, Taghi M. Khoshgoftaar, Naeem Seliya:
The Effect of Dataset Size on Training Tweet Sentiment Classifiers. 96-102
Kernels and Support Vector Machines
- Tim vor der Brück, Steffen Eger, Alexander Mehler:
Complex Decomposition of the Negative Distance Kernel. 103-108 - Piyush Kumar Sharma, Gary Holness, Yuri Markushin, Noureddine Melikechi:
A Family of Chisini Mean Based Jensen-Shannon Divergence Kernels. 109-115 - Katelyn Gao:
Online One-Class SVMs with Active-Set Optimization for Data Streams. 116-121 - Abhijeet Sachdev, Veena Thenkanidiyoor, Aroor Dinesh Dileep, C. Chandra Sekhar:
Example-Specific Density Based Matching Kernels for Scene Classification Using Support Vector Machines. 122-127 - Zehra Camlica, Hamid R. Tizhoosh, Farzad Khalvati:
Medical Image Classification via SVM Using LBP Features from Saliency-Based Folded Data. 128-132
Machine Learning in Information and System Security Issues (Special Session)
- Dheny Fernandes, Kelton A. P. da Costa, Tiago A. Almeida
SMS Spam Filtering Through Optimum-Path Forest-Based Classifiers. 133-137 - Túlio C. Alberto, Johannes V. Lochter, Tiago A. Almeida
TubeSpam: Comment Spam Filtering on YouTube. 138-143 - Bentz Tozer, Thomas A. Mazzuchi, Shahram Sarkani:
Optimizing Attack Surface and Configuration Diversity Using Multi-objective Reinforcement Learning. 144-149 - Sedef Gunduz, Bilgehan Arslan, Mehmet Demirci:
A Review of Machine Learning Solutions to Denial-of-Services Attacks in Wireless Sensor Networks. 150-155 - Yavuz Canbay, Seref Sagiroglu:
A Hybrid Method for Intrusion Detection. 156-161
Predictive Modelling and Applications
- Pasquale Minervini
Scalable Learning of Entity and Predicate Embeddings for Knowledge Graph Completion. 162-167 - Thomas Timm Andersen, Heni Ben Amor, Nils Axel Andersen, Ole Ravn
Measuring and Modelling Delays in Robot Manipulators for Temporally Precise Control Using Machine Learning. 168-175 - Margaux Luck, Anastasia Yartseva, Gildas Bertho
Metabolic Profiling of 1H NMR Spectra in Chronic Kidney Disease with Local Predictive Modeling. 176-181 - Ifeoma Adaji, Julita Vassileva
Predicting Churn of Expert Respondents in Social Networks Using Data Mining Techniques: A Case Study of Stack Overflow. 182-189
Feature Selection
- Stefan Richthofer, Laurenz Wiskott
Predictable Feature Analysis. 190-196 - Shuangshuang Jiang, Hichem Frigui, Aaron W. Calhoun:
Speaker Identification in Medical Simulation Data Using Fisher Vector Representation. 197-201 - Xing Wang, Yifeng Gao, Jessica Lin, Huzefa Rangwala, Ranjeev Mittu:
A Machine Learning Approach to False Alarm Detection for Critical Arrhythmia Alarms. 202-207 - Alejandro Correa Bahnsen, Djamila Aouada
Detecting Credit Card Fraud Using Periodic Features. 208-213
Advanced Learning Methods I
- Vinícius M. A. de Souza
Classification of Evolving Data Streams with Infinitely Delayed Labels. 214-219 - Nikos Tsipinakis, James D. B. Nelson:
Sparse Temporal Difference Learning via Alternating Direction Method of Multipliers. 220-225 - Armon Toubman, Jan Joris Roessingh, Pieter Spronck, Aske Plaat
Transfer Learning of Air Combat Behavior. 226-231 - Zhenyu Shu, Victor S. Sheng, Yang Zhang, Dianhong Wang, Jing Zhang, Heng Chen:
Integrating Active Learning with Supervision for Crowdsourcing Generalization. 232-237
Information Retrieval and Topic Models
- Raheleh Makki, Axel J. Soto
Active Information Retrieval for Linking Twitter Posts with Political Debates. 238-245 - Amir H. Basirat, Asad I. Khan
A Highly Distributable Computational Framework for Fast Cloud Data Retrieval. 246-250 - Xiaoyu Chen, Jiangchao Yao, Yanfeng Wang, Ya Zhang
Online Learning Algorithm for Collective LDA. 251-258 - Mehdi Allahyari, Krys J. Kochut:
Automatic Topic Labeling Using Ontology-Based Topic Models. 259-264 - Ruth White, William S. Harwin, William Holderbaum, Laura Johnson
Investigating Eating Behaviours Using Topic Models. 265-270 - Luis Gerardo Mojica, Vincent Ng:
Fine-Grained Opinion Extraction with Markov Logic Networks. 271-276
Machine Learning in Information and System Security Issues (Special Session)
- Pelin Canbay, Hayri Sever:
The Effect of Clustering on Data Privacy. 277-282 - Maryam M. Najafabadi, Taghi M. Khoshgoftaar, Chad Calvert, Clifford Kemp:
Detection of SSH Brute Force Attacks Using Aggregated Netflow Data. 283-288 - Niharika Guntamukkala, Rozita Dara, Gary Gréwal:
A Machine-Learning Based Approach for Measuring the Completeness of Online Privacy Policies. 289-294 - Mansour Alsaleh, Abdulrahman Alarifi, Fatima Al-Quayed, AbdulMalik S. Al-Salman
Combating Comment Spam with Machine Learning Approaches. 295-300 - Eric L. Goodman, Joe Ingram, Shawn Martin, Dirk Grunwald:
Using Bipartite Anomaly Features for Cyber Security Applications. 301-306 - Alaa Darabseh, Akbar Siami Namin:
Effective User Authentications Using Keystroke Dynamics Based on Feature Selections. 307-312
Machine Learning Algorithms for Environmental Applications (Special Session)
- Rituraj, Shukla:
Statistical Downscaling of Climate Change Scenarios of Rainfall and Temperature over Indira Sagar Canal Command Area in Madhya Pradesh, India. 313-317 - Soukayna Mouatadid, Ravinesh C. Deo
Prediction of SPEI Using MLR and ANN: A Case Study for Wilsons Promontory Station in Victoria. 318-324 - Pratik Prabhanjan Brahma:
Prediction of Sunspot Number Using Minimum Error Entropy Cost Based Kernel Adaptive Filters. 325-329 - Mohamed Ben Haj Frej, Khaled Elleithy
Secure Data Aggregation Model (SDAM) in Wireless Sensor Networks. 330-334 - Ramadhan J. Mstafa
A New Video Steganography Algorithm Based on the Multiple Object Tracking and Hamming Codes. 335-340 - Onur Genc, Ali Dag, Mehmet Ardiclioglu:
A Novel Study for the Modeling of Monthly Evaporation Using K-Nearest Neighbor Algorithms for a Semi-Arid Continental Climate. 341-346
Poster Session
- James Brofos, Rui Shu:
Parallelization of Minimum Probability Flow on Binary Markov Random Fields. 347-350 - Karen Guo, Paul Schrater:
Automatically Discovering Fatigue Patterns from Sparsely Labelled Temporal Data. 351-355 - Stephen Suffian, Diego Ponce de León Baridó, Madhura Ingalhalikar, Pritpal Singh:
Increasing Grid Flexibility Through Improved Electricity Demand Prediction in Nicaragua. 356-359 - Martha Ganser, Sauptik Dhar, Unmesh Kurup, Carlos Cunha, Aca Gacic:
Patient Identification for Telehealth Programs. 360-363 - Bharat Singh, Soham De, Yangmuzi Zhang, Thomas A. Goldstein, Gavin Taylor:
Layer-Specific Adaptive Learning Rates for Deep Networks. 364-368 - Ming Sun, Varun K. Nagaraja, Björn Hoffmeister, Shiv Vitaladevuni:
Model Shrinking for Embedded Keyword Spotting. 369-374 - Woong Yeol Joe:
Vibration Learning and Control towards Vibration Actuated Robotic Systems. 375-377 - A. Tirupathi Rao, N. Pattabhi Ramaiah, V. Raghavendra Reddy, C. Krishna Mohan
Nearest Neighbor Minutia Quadruplets Based Fingerprint Matching with Reduced Time and Space Complexity. 378-381 - Hossein Bashashati, Rabab K. Ward, Ali Bashashati:
Hidden Markov Support Vector Machines for Self-Paced Brain Computer Interfaces. 382-385 - Nassara Elhadji Ille Gado, Edith Grall-Maës, Malika Kharouf:
Linear KernelPCA and K-Means Clustering Using New Estimated Eigenvectors of the Sample Covariance Matrix. 386-389 - Vincent Barnabe-Lortie, Colin Bellinger, Nathalie Japkowicz
Active Learning for One-Class Classification. 390-395 - K. M. Annervaz, Jovin George, Shubhashis Sengupta
A Generic Platform to Automate Legal Knowledge Work Process Using Machine Learning. 396-401 - Robert LeMoyne
Application of a Multilayer Perceptron Neural Network for Classifying Software Platforms of a Powered Prosthesis through a Force Plate. 402-405 - Robert LeMoyne
Ankle Rehabilitation System with Feedback from a Smartphone Wireless Gyroscope Platform and Machine Learning Classification. 406-409 - Douglas R. Heisterkamp:
Lambda Consensus Clustering. 410-413 - Erik Linstead, Rene German, Dennis Dixon, Doreen Granpeesheh, Marlena Novack, Alva Powell:
An Application of Neural Networks to Predicting Mastery of Learning Outcomes in the Treatment of Autism Spectrum Disorder. 414-418 - Labiba Gillani Fahad, Muttukrishnan Rajarajan:
Anomalies Detection in Smart-Home Activities. 419-422 - Balemir Uragun:
An Automatic Recognition for the Auditory Brainstem Response Waveform. 423-428 - Cameron R. Hamilton
Eye State Prediction from EEG Data Using Boosted Rotational Forests. 429-432 - Alexander P. Kuleshov, Alexander V. Bernstein, Yury Agalakov:
Data-Based Statistical Models of Data Networks. 433-438 - Justin Lovinger
Scrubbing the Web for Association Rules: An Application in Predictive Text. 439-442 - Erick De la Rosa, Wen Yu
Restricted Boltzmann Machine for Nonlinear System Modeling. 443-446 - Bing Zhou:
Using Vector Quantization of Hough Transform for Circle Detection. 447-450 - Wentao Fan
Human Action Recognition Using Accelerated Variational Learning of Infinite Dirichlet Mixture Models. 451-456 - Anna V. Little, Alicia Byrd:
A Multiscale Spectral Method for Learning Number of Clusters. 457-460 - Xi Zhang, Yanwei Fu
Learning from Synthetic Data Using a Stacked Multichannel Autoencoder. 461-464 - Luiza Antonie, Andrew D'Angelo, Gary Gréwal, Miana Plesca:
Analyzing the Gender Wage Gap in Ontario's Public Sector. 465-470 - Zdravko Markov:
MDL-based Hierarchical Clustering. 471-474 - Claire Gallagher, Michael G. Madden
A Bayesian Classification Approach to Improving Performance for a Real-World Sales Forecasting Application. 475-480 - Adel R. Alharbi, Mitchell A. Thornton
Demographic Group Classification of Smart Device Users. 481-486 - Jared Lundell, Charles DuHadway, Dan Ventura:
Data-Driven Kernels via Semi-supervised Clustering on the Manifold. 487-492 - Tom Arjannikov, John Z. Zhang:
An Empirical Study on Structured Dichotomies in Music Genre Classification. 493-496 - Celal Savur
Real-Time American Sign Language Recognition System Using Surface EMG Signal. 497-502 - Van Khoa Le, Pierre Beauseroy:
Path for Kernel Adaptive One-Class Support Vector Machine. 503-508 - Sara S. Abdelkader, Katarina Grolinger, Miriam A. M. Capretz:
Predicting Energy Demand Peak Using M5 Model Trees. 509-514 - Gianni Costa
Mining Clusters in XML Corpora Based on Bayesian Generative Topic Modeling. 515-520 - Anvardh Nanduri, Huzefa Rangwala:
Predicting New Friendships in Social Networks. 521-526 - Alireza Fazelpour, Taghi M. Khoshgoftaar, David J. Dittman, Amri Napolitano:
Does the Inclusion of Data Sampling Improve the Performance of Boosting Algorithms on Imbalanced Bioinformatics Data? 527-534 - Joseph D. Prusa, Taghi M. Khoshgoftaar, Amri Napolitano:
Utilizing Ensemble, Data Sampling and Feature Selection Techniques for Improving Classification Performance on Tweet Sentiment Data. 535-542 - Yulei Pang, Xiaozhen Xue, Akbar Siami Namin:
Predicting Vulnerable Software Components through N-Gram Analysis and Statistical Feature Selection. 543-548 - Wutao Wei, Chuanhai Liu, Michael Yu Zhu, Sorin Adam Matei
A Non-parametric Hidden Markov Clustering Model with Applications to Time Varying User Activity Analysis. 549-554 - Joana Côrte-Real, Theofrastos Mantadelis
SkILL - A Stochastic Inductive Logic Learner. 555-558 - Lovedeep Gondara:
RPC: An Efficient Classifier Ensemble Using Random Projections. 559-564 - Bernard Chen, Valentin Velchev, Bryce Nicholson, Joey Garrison, Moani Iwamura, Ryan Battisto:
Wineinformatics: Uncork Napa's Cabernet Sauvignon by Association Rule Based Classification. 565-569 - Linkai Luo, Ling-Jun Ye, Qifeng Zhou, Hong Peng:
A Support Vector Classification Model with Partial Empirical Risks Given. 570-575 - Itauma Itauma, Melih S. Aslan, Flavio Villanustre
Unsupervised Learning and Image Classification in High Performance Computing Cluster. 576-581 - Tianchuan Du, Li Liao:
Deep Neural Networks with Parallel Autoencoders for Learning Pairwise Relations: Handwritten Digits Subtraction. 582-587 - Xiang Zhang, Naiyang Guan, Zhigang Luo, Xuejun Yang:
Constrained Projective Non-negative Matrix Factorization for Semi-supervised Multi-label Learning. 588-593 - Ali Braytee
ABC-sampling for Balancing Imbalanced Datasets Based on Artificial Bee Colony Algorithm. 594-599 - Elizabeth D. Gregory, Stephen D. Holland:
State Tracking of Composite Delaminations with a Bayesian Filter. 600-603 - Qing Liao, Xiang Zhang, Naiyang Guan, Qian Zhang
Local Coordinate Projective Non-negative Matrix Factorization. 604-607 - Joseph J. Giametta, Brett J. Borghetti:
EEG-based Secondary Task Detection in a Multiple Objective Operational Environment. 608-613 - Santosh Upadhyayula, Ziad Kobti:
Population Migration Using Dominance in Multi-population Cultural Algorithms. 614-617 - Nikolay Burlutskiy, Andrew Fish
Prediction of Users' Response Time in Q&A Communities. 618-623 - Robert Fisher, Reid G. Simmons
Weakly Supervised Learning of Dialogue Structure in MOOC Forum Threads. 624-627 - Tomer Lancewicki, Benjamin Goodrich, Itamar Arel:
Sequential Covariance-Matrix Estimation with Application to Mitigating Catastrophic Forgetting. 628-633 - Ruth Agada, Jie Yan:
A Model of Local Binary Pattern Feature Descriptor for Valence Facial Expression Classification. 634-639 - Abhilasha Ravichander, Supriya Vijay, Varshini Ramaseshan, S. Natarajan:
VISAGE: A Support Vector Machine Approach to Group Dynamic Analysis. 640-643 - Zeynep Zengin Alp, Sule Gündüz Ögüdücü:
Extracting Topical Information of Tweets Using Hashtags. 644-648 - Ankita Garg, Catherine G. Enright, Michael G. Madden
On Asymmetric Similarity Search. 649-654 - Arjun Raj Rajanna, Kamelia Aryafar, Ali Shokoufandeh, Raymond W. Ptucha:
Deep Neural Networks: A Case Study for Music Genre Classification. 655-660 - Zhengping Wu, Yuanyao Liu:
WNN-based Fast Event Pattern Detection and Prediction Using Reversed Pattern Tree for Cloud System Reliability Management. 661-666 - Jianhua Chen:
Boosting with Adaptive Sampling for Multi-class Classification. 667-672 - Maria Weslane Sousa Almeida, João Paulo Souza Medeiros
Solving the Academic Timetable Problem Thinking on Student Needs. 673-676 - Eman M. Nejad, Roozbeh Razavi-Far, Q. M. Jonathan Wu
Multiple Imputation of Missing Residuals for Fault Classification: A Wind Turbine Application. 677-680 - Moustafa F. Mabrouk, Nagia M. Ghanem, Mohamed A. Ismail:
Semi Supervised Learning for Human Activity Recognition Using Depth Cameras. 681-686 - Sondre Glimsdal, Ole-Christoffer Granmo
Thompson Sampling Guided Stochastic Searching on the Line for Non-stationary Adversarial Learning. 687-692 - Jingjing Li, Victor S. Sheng, Zhenyu Shu, Yanxia Cheng, Yuqin Jin, Yuan-feng Yan:
Learning from the Crowd with Neural Network. 693-698 - Jessica Curtis, Mark A. Kon:
Class Discovery via Bimodal Feature Selection in Unsupervised Settings. 699-702 - Priyam Parashar, Robert Fisher, Reid G. Simmons
Learning Context-Based Outcomes for Mobile Robots in Unstructured Indoor Environments. 703-706 - Viktor Arkhipov, Maxim Buzdalov
An Asynchronous Implementation of the Limited Memory CMA-ES. 707-712 - Aidan Macdonald, Jeffrey Ellen
Multi-level Resolution Features for Classification of Transportation Trajectories. 713-718 - Thiago Meirelles Ventura, Allan Gonçalves de Oliveira
Study of How the Integration of Artificial Neural Network and Genetic Algorithm Should Be Made for Modeling Meteorological Data. 719-722 - Sameen Mansha, Faisal Kamiran:
Multi-query Optimization in Federated Databases Using Evolutionary Algorithm. 723-726 - Mahmoud Khademi, Nedialko S. Nedialkov:
Probabilistic Graphical Models and Deep Belief Networks for Prognosis of Breast Cancer. 727-732 - Ozsel Kilinc, Alexander Dalzell, Ismail Uluturk, Ismail Uysal:
Inertia Based Recognition of Daily Activities with ANNs and Spectrotemporal Features. 733-738 - Prasanth Lade, Hemanth Venkateswara
Regularized Supervised Topic Model for Continuous Emotion Analysis. 739-744
Special Sessions and Workshops Posters
- Danfeng Xie, Li Bai:
A Hierarchical Deep Neural Network for Fault Diagnosis on Tennessee-Eastman Process. 745-748 - Qifeng Zhou, Ruyuan Han, Tao Li:
A Two-Step Dynamic Inventory Forecasting Model for Large Manufacturing. 749-753 - Kelton A. P. da Costa, Luis Alexandre da Silva
Malware Detection in Android-Based Mobile Environments Using Optimum-Path Forest. 754-759 - Nir Nissim, Aviad Cohen, Yuval Elovici:
Boosting the Detection of Malicious Documents Using Designated Active Learning Methods. 760-765 - Yigit Erkal, Mustafa Sezgin, Sedef Gunduz:
A New Cyber Security Alert System for Twitter. 766-770 - Sami S. Alwakeel, Bassem Alhalabi, Hadi M. Aggoune, Mohammed Alwakeel
A Machine Learning Based WSN System for Autism Activity Recognition. 771-776 - Koki Saito, Akira Notsu, Seiki Ubukata
Performance Investigation of UCB Policy in Q-learning. 777-780 - Nashlie H. Sephus, Sravan Bhagavatula, Palash Shastri, Erica Gabriel:
An Industrial-Strength Pipeline for Recognizing Fasteners. 781-786
Neural Networks
- Clinton Rogers, Iren Valova:
Decaying Potential Fields Neural Network: An Approach for Parallelizing Topologically Indicative Mapping Exemplars. 787-792 - Mina Moradi Kordmahalleh, Mohammad Gorji Sefidmazgi
A Bilevel Parameter Tuning Strategy of Partially Connected ANNs. 793-798 - Myriam Abramson:
Sequence Classification with Neural Conditional Random Fields. 799-804 - Özgür Yilmaz:
Classification of Occluded Objects Using Fast Recurrent Processing. 805-812
Machine Learning Applications I
- Julia Ling:
Using Machine Learning to Understand and Mitigate Model Form Uncertainty in Turbulence Models. 813-818 - Faisal R. Al-Osaimi, Nizar Bouguila:
A Finite Gamma Mixture Model-Based Discriminative Learning Frameworks. 819-824 - Colin Bellinger, Ali Amid, Nathalie Japkowicz
Multi-label Classification of Anemia Patients. 825-830 - Adarsh Sivasankaran, Vladimir Cherkassky, Mark Albrecht, Eric Williams, Martin Maiers:
Donor Selection for Hematopoietic Stem Cell Transplant Using Cost-Sensitive SVM. 831-836
Machine Learning Algorithms, Systems and Applications Workshop
- Abdul Qadir Javaid, Carlo M. Noble, Russell Rosenberg, Mary Ann Weitnauer:
Towards Sleep Apnea Screening with an Under-the-Mattress IR-UWB Radar Using Machine Learning. 837-842 - Marmar Moussa
iClass: Combining Multiple Multi-label Classification with Expert Knowledge. 843-848 - Christopher Rhodes, James Lemon, Chenyi Hu
An Interval-Radial Algorithm for Hierarchical Clustering Analysis. 849-856 - Qing Song:
Time Series Prediction Based on Online Learning. 857-864
Deep Learning
- Licheng Zhang, Xihong Wu, Dingsheng Luo:
Recognizing Human Activities from Raw Accelerometer Data Using Deep Neural Networks. 865-870 - Philippe M. Burlina, Aurora C. Schmidt, I-Jeng Wang:
Zero Shot Deep Learning from Semantic Attributes. 871-876 - Muhammad Rizwan, David V. Anderson:
Speaker Adaptation Using Speaker Similarity Score on DNN Features. 877-882 - Murat Dundar, Qiang Kou, Baichuan Zhang, Yicheng He, Bartek Rajwa
Simplicity of Kmeans Versus Deepness of Deep Learning: A Case of Unsupervised Feature Learning with Limited Data. 883-888
Machine Learning Applications II
- Ahmad Qawasmeh
Adaptive OpenMP Task Scheduling Using Runtime APIs and Machine Learning. 889-895 - Mauro Ribeiro, Katarina Grolinger, Miriam A. M. Capretz:
MLaaS: Machine Learning as a Service. 896-902 - Wendy Belcher
Detecting Erosion Events in Earth Dam and Levee Passive Seismic Data with Clustering. 903-910 - Thomas E. Bartlett, Adam M. Sykulski
A Power Variance Test for Nonstationarity in Complex-Valued Signals. 911-916
Machine Learning Algorithms, Systems and Applications Workshop
- Shuguang Wang, Eui-Hong Sam Han:
BreakFast: Analyzing Celerity of News. 917-922 - Moamar Sayed Mouchaweh:
Adaptive Modular Approach for Online Fault Diagnosis of Discrete Event Systems. 923-928 - Xiaohui Li, Jie Peng, Shanqing Li:
Achievements Recommendation Framework Based on Scientific Collaboration Network. 929-934 - Maryam Farajzadeh-Zanjani, Roozbeh Razavi-Far, Mehrdad Saif
Diagnosis of Bearing Defects in Induction Motors by Fuzzy-Neighborhood Density-Based Clustering. 935-940
Machine Learning Applications III
- Tamal Biswas, Kenneth W. Regan:
Measuring Level-K Reasoning, Satisficing, and Human Error in Game-Play Data. 941-947 - Colin Bellinger, Nathalie Japkowicz
Synthetic Oversampling for Advanced Radioactive Threat Detection. 948-953 - Kaavya Srinivasan, Konstantinos Kalpakis:
Intelligent Bus Stop Identification Using Smartphone Sensors. 954-959 - Daricélio Moreira Soares, Manoel Limeira de Lima Júnior
Rejection Factors of Pull Requests Filed by Core Team Developers in Software Projects with High Acceptance Rates. 960-965
Supervised Learning and Optimization
- Yuxun Zhou, Baihong Jin, Costas J. Spanos:
Learning Convex Piecewise Linear Machine for Data-Driven Optimal Control. 966-972 - Joshua R. Christman, Brian G. Woolley:
Augmenting Interactive Evolution with Multi-objective Optimization. 973-980 - Dingding Wang, Lei Li, Tao Li:
NewsCubeSum: A Personalized Multidimensional News Update Summarization System. 981-986
Machine Learning Algorithms, Systems and Applications Workshop
- Alireza Fazelpour, Taghi M. Khoshgoftaar, David J. Dittman, Amri Napolitano:
Investigating New Bootstrapping Approaches of Bagging Classifiers to Account for Class Imbalance in Bioinformatics Datasets. 987-994 - Nathan Rude, Derek Doran:
Request Type Prediction for Web Robot and Internet of Things Traffic. 995-1000 - Bryan Dolan, Kirk Ocke, Eric Gross, Yasmine Charif:
Interpretable Classifier for Identifying High-Value Child Support Cases. 1001-1006
Generative Models
- Haikun Hong, Xiabing Zhou, Wenhao Huang, Xingxing Xing, Fei Chen, Yu Lei, Kaigui Bian, Kunqing Xie:
Learning Common Metrics for Homogenous Tasks in Traffic Flow Prediction. 1007-1012 - Ahmed Bayoumy Zaky, Walid Gomaa, Mohamed Abdelaziz Khamis
Car Following Markov Regime Classification and Calibration. 1013-1018 - Jan Janousek, Petr Gajdos, Michal Radecký, Václav Snásel:
Gaussian Mixture Model Cluster Forest. 1019-1023
Recommender Systems
- Dimitris Paraschakis, Bengt J. Nilsson, John Hollander:
Comparative Evaluation of Top-N Recommenders in e-Commerce: An Industrial Perspective. 1024-1031 - Christopher Scaffidi, Christopher Chambers, Sheela Surisetty:
A Code-Centric Cluster-Based Approach for Searching Online Support Forums for Programmers. 1032-1037 - Sedigheh Zolaktaf, Gail C. Murphy:
What to Learn Next: Recommending Commands in a Feature-Rich Environment. 1038-1044
Machine Learning in Energy Applications
- Ilhami Colak, Mehmet Yesilbudak, Naci Genç
Multi-period Prediction of Solar Radiation Using ARMA and ARIMA Models. 1045-1049 - Payam Zamani Dehkordi, Logan Rakai, Hamidreza Zareipour
A Data-Driven Method to Detect the Abnormal Instances in an Electricity Market. 1050-1055 - Ramazan Bayindir
Statistical Scenarios for Demand Forecast of a High Voltage Feeder: A Comparative Study. 1056-1061
Advanced Learning Methods II
- Jan H. Schoenke, Werner Brockmann:
Incremental Learning on Decorrelated Approximators. 1062-1069 - Sean C. Mondesire, R. Paul Wiegand:
A Demonstration of Stability-Plasticity Imbalance in Multi-agent, Decomposition-Based Learning. 1070-1075 - Mihaela Andreea Mares, Yike Guo:
Resampling-Based Variable Selection with Lasso for p >> n and Partially Linear Models. 1076-1082 - Ozsel Kilinc, Ismail Uysal:
Source-Aware Partitioning for Robust Cross-Validation. 1083-1088 - Pablo Gay, Beatriz López
Learning Complex Events from Sequences with Informed Gaps. 1089-1094
Applications: Image, Signal and Big Data Processing
- Touqeer Ahmad
An Edge-Less Approach to Horizon Line Detection. 1095-1102 - Asif Iqbal Khan, M. Arif Wani:
Efficient and Rotation Invariant Fingerprint Matching Algorithm Using Adjustment Factor. 1103-1110 - Zheng Li, Jian-Fei Yang, Long Chen, Juan Zha:
Robust Vehicle Tracking Using Perceptual Hashing Algorithm. 1111-1116 - Brandon G. Morton, Youngmoo E. Kim
Acoustic Features for Recognizing Musical Artist Influence. 1117-1122 - Daniel Schweizer, Michael Zehnder, Holger Wache, Hans Friedrich Witschel, Danilo Zanatta, Miguel Rodriguez:
Using Consumer Behavior Data to Reduce Energy Consumption in Smart Homes: Applying Machine Learning to Save Energy without Lowering Comfort of Inhabitants. 1123-1129 - Rohan Khade, Jessica Lin, Nital Patel:
Frequent Set Mining for Streaming Mixed and Large Data. 1130-1135
Machine Learning in Energy Applications (Special Session)
- Feteh Nassim Melzi, Mohamed-Haykel Zayani, Amira Ben Hamida, Allou Samé, Latifa Oukhellou:
Identifying Daily Electric Consumption Patterns from Smart Meter Data by Means of Clustering Algorithms. 1136-1141 - Ceyda Er Koksoy, Mehmet Baris Özkan, Serkan Buhan, Turan Demirci, Yusuf Arslan, Aysenur Birturk
Improved Wind Power Forecasting Using Combination Methods. 1142-1147 - Burak Colak, Mehmet Ali Gokmen, Hürevren Kiliç
A Web-Based Auction Platform for Electricity Retail Markets. 1148-1152 - Viktor Ten, Zhandos Yessenbayev
Optimized Small-Scaled Hybrid Energy Management of a Smart House Based on Genetic Algorithm. 1153-1158 - Erdal Irmak
Concept of 4th Dimension for Databases. 1159-1162 - Carlos V. A. Silva
Probabilistic Models for One-Day Ahead Solar Irradiance Forecasting in Renewable Energy Applications. 1163-1168 - Yusuf Arslan, Aysenur Birturk
Basin Clustering of Turkey by Use of Monthly Stream-Flow Data. 1169-1174 - Christa Cody, Vitaly Ford, Ambareen Siraj:
Decision Tree Learning for Fraud Detection in Consumer Energy Consumption. 1175-1179 - Hidenori Maruta, Daiki Mitsutake, Hironobu Taniguchi, Fujio Kurokawa:
Improvement of Transient Response of PI Controller with Reference Modification for Digitally Controlled DC-DC Converter. 1180-1184 - Mehmet Demirci:
A Survey of Machine Learning Applications for Energy-Efficient Resource Management in Cloud Computing Environments. 1185-1190
Machine Learning in Bioinformatics (Special Session)
- Evgin Göçeri, Esther Martinez:
Artificial Neural Network Based Abdominal Organ Segmentations: A Review. 1191-1194 - Numan Goceri, Evgin Göçeri:
A Neural Network Based Kidney Segmentation from MR Images. 1195-1198 - Ehtasham Javed, Ibrahima Faye, Aamir Saeed Malik, Jafri Malin Abdullah
An EMD Based Method for Reduction of Ballistocardiogram Artifact from EEG Studies of Evoked Potentials. 1199-1203 - Melih Günay
Automated Detection of Adenoviral Conjunctivitis Disease from Facial Images using Machine Learning. 1204-1209
Machine Learning for Predictive Models for Engineering Applications Workshop
- Nasser M. Alotaibi, Sami S. Alwakeel:
A Neural Network Based Handover Management Strategy for Heterogeneous Networks. 1210-1214 - Sean C. Mondesire, Douglas B. Maxwell, Jonathan Stevens, Rebecca Leis:
Resource Allocation Predictive Modeling to Optimize Virtual World Simulator Performance. 1215-1219 - Rushdi Shams
Summary Sentence Classification Using Stylometry. 1220-1227 - Toshiki Mori:
Superposed Naive Bayes for Accurate and Interpretable Prediction. 1228-1233
Formal Modeling for Machine Learning Techniques (Special Session)
- Mona Lange, Ralf Möller
Event Prioritization and Correlation Based on Pattern Mining Techniques. 1234-1239 - Naeem Akhtar Khan, Farooq Ahmad, Syed Asad Hussain, Sher Afzal Khan
Modeling and Simulation of Community Mobility Model for Next Generation Wireless Networks Using Coloured Petri Nets. 1240-1245
Machine Learning in Bioinformatics (Special Session)
- Abdulrhman Aljouie
Prediction of Continuous Phenotypes in Mouse, Fly, and Rice Genome Wide Association Studies with Support Vector Regression SNPs and Ridge Regression Classifier. 1246-1250 - Lovedeep Gondara:
Random Forest with Random Projection to Impute Missing Gene Expression Data. 1251-1256 - Ahmed Samet, Tien-Tuan Dao
Mining over a Reliable Evidential Database: Application on Amphiphilic Chemical Database. 1257-1262
Machine Learning for Predictive Models for Engineering Applications Workshop
- Shadi Banitaan, Ali Bou Nassif
Class Decomposition Using K-Means and Hierarchical Clustering. 1263-1267 - Mohammad Azzeh
An Application of Classification and Class Decomposition to Use Case Point Estimation Method. 1268-1271
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