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ORCIDICMLA 2013: Miami, FL, USA
- 12th International Conference on Machine Learning and Applications, ICMLA 2013, Miami, FL, USA, December 4-7, 2013, Volume 2. IEEE 2013
- Edwin Lughofer, Carlos Cernuda
, Mahardhika Pratama:
Generalized Flexible Fuzzy Inference Systems. 1-7 - Gerasimos G. Rigatos:
Design of Chaos-Based Communication System with Use of the Derivative-Free Nonlinear Kalman Filter. 8-14 - Gul Muhammad Khan, Durre Nayab, Sahibzada Ali Mahmud, Haseeb Zafar:
Evolving Dynamic Forecasting Model for Foreign Currency Exchange Rates Using Plastic Neural Networks. 15-20 - Andreas Buschermöhle, Werner Brockmann:
Stable On-Line Learning with Optimized Local Learning, But Minimal Change of the Global Output. 21-27 - Jose Luis Navarro Gonzalez, Ismael López-Juárez, Keny Ordaz-Hernández:
On-Line Incremental Learning for Unknown Conditions during Assembly Operations with Robots. 28-33
02. Special Session: Machine Learning Challenges in Cyber Security Applications
- Justin E. Doak, Joe Ingram, Jeffery Shelburg, Joshua Johnson, Brandon Rohrer:
Active Learning for Alert Triage. 34-39 - Loai Zomlot, Sathya Chandran Sundaramurthy, Doina Caragea, Xinming Ou:
Aiding Intrusion Analysis Using Machine Learning. 40-47 - W. Philip Kegelmeyer, Ken Chiang, Joey Burton Ingram:
Streaming Malware Classification in the Presence of Concept Drift and Class Imbalance. 48-53 - Justin M. Beaver, Raymond C. Borges-Hink, Mark A. Buckner:
An Evaluation of Machine Learning Methods to Detect Malicious SCADA Communications. 54-59 - Nikki McNeil, Robert A. Bridges, Michael D. Iannacone, Bogdan D. Czejdo, Nicolas Perez, John R. Goodall:
PACE: Pattern Accurate Computationally Efficient Bootstrapping for Timely Discovery of Cyber-security Concepts. 60-65
03. Special Session: Machine Learning Applications in Software Engineering
- Shadi Banitaan, Mamdouh Alenezi:
DECOBA: Utilizing Developers Communities in Bug Assignment. 66-71 - Daniel Fried, Zhen Li, Ali Jannesari, Felix Wolf:
Predicting Parallelization of Sequential Programs Using Supervised Learning. 72-77 - Yulei Pang, Xiaozhen Xue, Akbar Siami Namin:
Identifying Effective Test Cases through K-Means Clustering for Enhancing Regression Testing. 78-83 - Huanjing Wang, Taghi M. Khoshgoftaar, Amri Napolitano:
An Empirical Study on Wrapper-Based Feature Selection for Software Engineering Data. 84-89 - Daniil Chivilikhin, Vladimir Ulyantsev:
Learning Finite-State Machines: Conserving Fitness Function Evaluations by Marking Used Transitions. 90-95 - Hamza Onoruoiza Salami, Moataz A. Ahmed:
Class Diagram Retrieval Using Genetic Algorithm. 96-101 - Bogdan Marculescu, Robert Feldt, Richard Torkar:
Objective Re-weighting to Guide an Interactive Search Based Software Testing System. 102-107 - Viktor Arkhipov, Maxim Buzdalov, Anatoly Shalyto:
Worst-Case Execution Time Test Generation for Augmenting Path Maximum Flow Algorithms Using Genetic Algorithms. 108-111
04. Special Session: Machine Learning for Predictive Models
- Mamdouh Alenezi, Shadi Banitaan:
Bug Reports Prioritization: Which Features and Classifier to Use? 112-116 - Mohammad Azzeh, Ali Bou Nassif:
Fuzzy Model Tree for Early Effort Estimation. 117-121 - Adel Aloraini:
Ensemble Feature Selection Methods for a Better Regularization of the Lasso Estimate in P ≫ N Gene Expression Datasets. 122-126 - Rushdi Shams, Robert E. Mercer:
Personalized Spam Filtering with Natural Language Attributes. 127-132 - Julia Hoxha, Achim Rettinger:
First-Order Probabilistic Model for Hybrid Recommendations. 133-139 - Thomas Ricatte, Gemma C. Garriga, Rémi Gilleron, Marc Tommasi:
Learning from Multiple Graphs Using a Sigmoid Kernel. 140-145 - Christoph Lassner, Rainer Lienhart:
Methods and Applications for Distance Based ANN Training. 146-151 - Gul Muhammad Khan, Faheem Zafari, Sahibzada Ali Mahmud:
Very Short Term Load Forecasting Using Cartesian Genetic Programming Evolved Recurrent Neural Networks (CGPRNN). 152-155 - Cuauhtémoc López Martín, Arturo Chavoya, Maria Elena Meda-Campaña:
Use of a Feedforward Neural Network for Predicting the Development Duration of Software Projects. 156-159 - Mirko Kück, Bernd Scholz-Reiter:
A Genetic Algorithm to Optimize Lazy Learning Parameters for the Prediction of Customer Demands. 160-165 - Mahmuda Rahman:
DroidMLN: A Markov Logic Network Approach to Detect Android Malware. 166-169 - Fabio Jose Justo dos Santos, Heloisa de Arruda Camargo:
Preprocessing in Fuzzy Time Series to Improve the Forecasting Accuracy. 170-173 - Benjamin Lenz, Bernd Barak, Julia Mührwald, Carolin Leicht:
Virtual Metrology in Semiconductor Manufacturing by Means of Predictive Machine Learning Models. 174-177 - Soroosh Ghorbani, Michel C. Desmarais:
Selective Sampling Designs to Improve the Performance of Classification Methods. 178-181 - Yingzhen Yang, Xinqi Chu, Thomas S. Huang:
Pairwise Clustering by Minimizing the Error of Unsupervised Nearest Neighbor Classification. 182-187
05. Special Session: Machine Learning in Energy Applications
- Sardar Afra, Eduardo Gildin:
Permeability Parametrization Using Higher Order Singular Value Decomposition (HOSVD). 188-193 - Benyamin Kusumoputro, Akhmad Faqih, Dede Sutarya, Lina:
Quality Classification of Green Pellet Nuclear Fuels Using Radial Basis Function Neural Networks. 194-198 - Viktor Ten, B. T. Matkarimov, N. T. Isembergenov:
Approach to Control of Hybrid Renewable Power System on the Basis of AE-Method Using Genetic Algorithm. 199-202 - Christian Geidel, Hamidreza Zareipour:
Price Forecasting in the Spanish Day-Ahead Electricity Market Using Preconditioned Wind Power Information. 203-210 - Anthony Mihirana De Silva, Farzad Noorian, Richard I. A. Davis, Philip Heng Wai Leong:
A Hybrid Feature Selection and Generation Algorithm for Electricity Load Prediction Using Grammatical Evolution. 211-217 - Omer Sesveren, Ramazan Bayindir:
An Intelligent Tool for ANN Based Power Factor Correction. 218-223 - Uraz Yavanoglu, Orhan Kaplan, Gizem Tanis, Hacer Atli, Ozlem Milletsever, Ugur Inal:
Intelligent Decision Support System for Energy Investments. 224-231 - Priscila C. Berbert Rampazzo, Akebo Yamakami, Fabrício Olivetti de França:
Operation Planning of Hydroelectric Systems: Application of Genetic Algorithms and Differential Evolution. 232-237 - Ilhami Colak, Murat Sahin, Zafer Esen:
Artificial Neural Networks Controller Algorithm Developed for a Brushless DC Motor. 238-242 - Julián L. Cárdenas-Barrera, Julian Meng, Eduardo Castillo Guerra, Liuchen Chang:
A Neural Network Approach to Multi-step-ahead, Short-Term Wind Speed Forecasting. 243-248 - Hidenori Maruta, Masashi Motomura, Fujio Kurokawa:
An Evaluation Study on Circuit Parameter Conditions of Neural Network Controlled DC-DC Converter. 249-254
06. Special Session: Machine Learning in Information and System Security Issues
- Isaac de L. Oliveira Filho, Otaciana G. R. Santiago, Anne M. P. Canuto, Benjamín René Callejas Bedregal:
A Comparative Analysis of Cryptographic Algorithms and Transformation Functions for Biometric Data. 255-260 - Tiago A. Almeida, Túlio C. Alberto:
Learning to Block Undesired Comments in the Blogosphere. 261-266 - Sedef Gunduz, Uraz Yavanoglu, Seref Sagiroglu:
Predicting Next Location of Twitter Users for Surveillance. 267-273 - Abdulrahman Alarifi, Mansour Alsaleh, AbdulMalik S. Al-Salman, Abdulmajeed Alswayed, Ahmad Alkhaledi:
Google Penguin: Evasion in Non-English Languages and a New Classifier. 274-280 - Uraz Yavanoglu, Medine Colak, Busra Caglar, Semra Cakir, Ozlem Milletsever, Seref Sagiroglu:
Intelligent Approach for Identifying Political Views over Social Networks. 281-287 - Duygu Sinanc, Uraz Yavanoglu:
A New Approach to Detecting Content Anomalies in Wikipedia. 288-293
07. Special Session: Machine Learning with Multimedia Data
- Ciro Gracia Pons, Xavier Anguera, Xavier Binefa:
A Riemannian Stopping Criterion for Unsupervised Phonetic Segmentation. 294-298 - Ciro Gracia Pons, Xavier Anguera, Xavier Binefa:
Two-Level Clustering towards Unsupervised Discovery of Acoustic Classes. 299-302 - Karim M. Mahmoud, Nagia M. Ghanem, Mohamed A. Ismail:
Unsupervised Video Summarization via Dynamic Modeling-Based Hierarchical Clustering. 303-308 - Xiaolong Wang, Vincent Ly, Guoyu Lu, Chandra Kambhamettu:
Can We Minimize the Influence Due to Gender and Race in Age Estimation? 309-314 - Dávid Zibriczky, Zoltán Petres, Marton Waszlavik, Domonkos Tikk:
EPG Content Recommendation in Large Scale: A Case Study on Interactive TV Platform. 315-320 - Ching-Hua Chuan:
A Multimodal Approach to Song-Level Style Identification in Pop/Rock Using Similarity Metrics. 321-324
08. Special Session: Learning on the Web (LW)
- Julia Hoxha, Peter Mika, Roi Blanco:
Learning Relevance of Web Resources across Domains to Make Recommendations. 325-330 - Jawad Ali, Faheem Zafari, Gul Muhammad Khan, Sahibzada Ali Mahmud:
Future Clients' Requests Estimation for Dynamic Resource Allocation in Cloud Data Center Using CGPANN. 331-334 - Jingtao Yao, Nouman Azam:
Incorporating Game-Theoretic Rough Sets in Web-Based Medical Decision Support Systems. 335-338
09. Workshop: Machine Learning Algorithms, Systems, and Applications
- Cassiano O. Becker, Paulo A. V. Ferreira:
Gradient Hyper-parameter Optimization for Manifold Regularization. 339-344 - Shangpeng Sun, Huibing Zhao:
Fault Diagnosis in Railway Track Circuits Using Support Vector Machines. 345-350 - Mohammad Ali Bagheri, Qigang Gao, Sergio Escalera:
A Framework towards the Unification of Ensemble Classification Methods. 351-355 - Ondrej Kazík, Klára Pesková, Jakub Smíd, Roman Neruda:
Clustering Based Classification in Data Mining Method Recommendation. 356-361 - Jianhua Chen, Jian Xu:
Sampling Adaptively Using the Massart Inequality for Scalable Learning. 362-367 - Houari Toubakh, Moamar Sayed Mouchaweh, Eric Duviella:
Advanced Pattern Recognition Approach for Fault Diagnosis of Wind Turbines. 368-373 - Irina Petrova, Arina Buzdalova, Maxim Buzdalov:
Improved Helper-Objective Optimization Strategy for Job-Shop Scheduling Problem. 374-377 - Raul Rosa, Fernando A. C. Gomide, Rosangela Ballini:
Evolving Hybrid Neural Fuzzy Network for System Modeling and Time Series Forecasting. 378-383
10. Workshop: Machine Learning and Applications in Health Informatics
- Dean Shaft, Robin Cohen:
A Multiagent Approach to Ambulance Allocation Based on Social Welfare and Local Search. 384-389 - Imran Khan, Moheeb Alwarsh, Javed I. Khan:
A Comprehension Approach for Formalizing Privacy Rules of HIPAA for Decision Support. 390-395 - David J. Dittman, Taghi M. Khoshgoftaar, Randall Wald, Amri Napolitano:
Simplifying the Utilization of Machine Learning Techniques for Bioinformatics. 396-403 - Taghi M. Khoshgoftaar, David J. Dittman, Randall Wald, Amri Napolitano:
Contrasting Undersampled Boosting with Internal and External Feature Selection for Patient Response Datasets. 404-410 - X. Hang:
Gene Expression Profile Classification Using Random Projection and Sparse Representation. 411-414 - Michael A. Vedomske, Donald E. Brown, James H. Harrison:
Random Forests on Ubiquitous Data for Heart Failure 30-Day Readmissions Prediction. 415-421 - Michael A. Vedomske, Matthew S. Gerber, Donald E. Brown, James H. Harrison:
Scalable and Locally Applicable Measures of Treatment Variation That Use Hospital Billing Data. 422-427 - Eliasz Kantoch, Piotr Augustyniak:
Automatic Behavior Learning for Personalized Assisted Living Systems. 428-431 - Eliasz Kantoch:
Technical Verification of Integrating Wearable Sensors into BSN-Based Telemedical Monitoring System. 432-435 - Fernando Lozano:
Learning to Rank Drug Combinations. 436-440 - Daniela Mayumi Ushizima, Alessandra H. Gomes, Cláudia M. Carneiro, Andrea Gomes Campos Bianchi:
Automated Pap Smear Cell Analysis: Optimizing the Cervix Cytological Examination. 441-444
11. Workshop: Big Data and Data Analytics Applications
- Robin Cohen, Noel Sardana, Kamal Rahim, Disney Yan Lam, M. Li, O. Maccarthy, E. Woo, Jie Zhang, Guibing Guo:
Recommending Messages to Users in Social Networks: A Cross-Site Study. 445-450 - Yun Lu, Ming Zhao, Guangqiang Zhao, Lixi Wang, Naphtali Rishe:
Massive GIS Database System with Autonomic Resource Management. 451-456 - Randall Wald, Taghi M. Khoshgoftaar, Amri Napolitano:
Comparison of Stability for Different Families of Filter-Based and Wrapper-Based Feature Selection. 457-464 - Matthew Herland, Taghi M. Khoshgoftaar, Randall Wald:
Survey of Clinical Data Mining Applications on Big Data in Health Informatics. 465-472 - Nicholas I. Sapankevych, Ravi Sankar:
Constrained Motion Particle Swarm Optimization and Support Vector Regression for Non-linear Time Series Regression and Prediction Applications. 473-477 - Liz Aranguren Pachano, Taghi M. Khoshgoftaar, Randall Wald:
Survey of Data Cleansing and Monitoring for Large-Scale Battery Backup Installations. 478-484 - Huibo Wang, Yun Lu, Yudong Guang, Erik Edrosa, Mingjin Zhang, Raul Camarca, Yelena Yesha, Tajana Lucic, Naphtali Rishe:
Epidemiological Data Analysis in TerraFly Geo-spatial Cloud. 485-490 - M. Arif Wani:
Hybrid Method for Fast SVM Training in Applications Involving Large Volumes of Data. 491-494
12. Special Session: Machine Learning in Visual Information Processing
- Yun Lu, Mingjin Zhang, Shonda Witherspoon, Yelena Yesha, Yaacov Yesha, Naphtali Rishe:
SksOpen: Efficient Indexing, Querying, and Visualization of Geo-spatial Big Data. 495-500 - Ashish Khare, Manish Khare, Rajneesh Kumar Srivastava:
Dual Tree Complex Wavelet Transform Based Multiclass Object Classification. 501-506 - Nam Do-Hoang Le, Minh-Triet Tran:
A Robust Unsupervised Feature Learning Framework Using Spatial Boosting Networks. 507-512 - Tian Tian, Ishwar K. Sethi, Delie Ming, Yun Zhang, Jiayi Ma:
LIPID: Local Image Permutation Interval Descriptor. 513-518 - Ethan Smith, Patrick Stein, Jacob Furst, Daniela Stan Raicu:
Weak Segmentations and Ensemble Learning to Predict Semantic Ratings of Lung Nodules. 519-524 - Rameez Ahmad, Syed Paymaan Raza, Hafiz Malik:
Visual Speech Detection Using an Unsupervised Learning Framework. 525-528 - Nilesh Patel, Michael Flynn, Andrey Semenov, Julia Galliker:
Automatic Binding Point and Surface Helix Angle Measurement in Historic Weft-Faced Compound Weave Figured Silks. 529-534
13. Special Session: Machine Learning Applications in Education
- Hanife Goker, Halil-Ibrahim Bulbul, Erdal Irmak:
The Estimation of Students' Academic Success by Data Mining Methods. 535-539 - Veli Atalay, Suleyman Ustun, Selin Bulbul:
The Determination of Socio-economic Factors Affecting Student Success by Data Mining Methods. 540-542 - Reginaldo Aparecido Gotardo, Estevam Rafael Hruschka Junior, Sérgio Donizetti Zorzo:
Approach to Cold-Start Problem in Recommender Systems in the Context of Web-Based Education. 543-548 - Utku Kose:
An Artificial Neural Networks Based Software System for Improved Learning Experience. 549-554 - Mohit Dua, Sandeep Kumar, Zorawar Singh Virk:
Hindi Language Graphical User Interface to Database Management System. 555-559 - Audrey Mbogho, Stephen Marquard:
Improving the Transcription of Academic Lectures for Information Retrieval. 560-567 - Nashlie H. Sephus, Temiloluwa O. Olubanjo, David V. Anderson:
Enhancing Online Music Lessons with Applications in Automating Self-Learning Tutorials and Performance Assessment. 568-571 - Farooq Ahmad, Zahid Hussain Qaisar:
Scenario Based Functional Regression Testing Using Petri Net Models. 572-577
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