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ORCIDICMLA 2012: Boca Raton, FL, USA
- 11th International Conference on Machine Learning and Applications, ICMLA, Boca Raton, FL, USA, December 12-15, 2012. Volume 2. IEEE 2012
- Antoine Chammas, Eric Duviella
, Stéphane Lecoeuche:
Prognosis Based on Handling Drifts in Dynamical Environments: Application to a Wind Turbine Benchmark. 1-6 - Clint P. George, Daisy Zhe Wang, Joseph N. Wilson, Liana M. Epstein, Philip Garland, Annabell Suh:
A Machine Learning Based Topic Exploration and Categorization on Surveys. 7-12 - Aman H. Bura, Bo Chen, Li Yu:
Error-Driven Adaptive, Virtual Machine Model-Based Control with High Availability Platform. 13-17 - Huynh Thi Thanh Binh, Mai Dinh Loi, Nguyen Thi Thuy:
Improving Image Segmentation Using Genetic Algorithm. 18-23 - Derek Doran, Veena B. Mendiratta, Chitra Phadke, Hüseyin Uzunalioglu:
The Importance of Outlier Relationships in Mobile Call Graphs. 24-29 - Derek C. Rose, Itamar Arel:
Toward a Sequential Approach to Pipelined Image Recognition. 30-35 - Ondrej Kazík, Klára Pesková, Martin Pilát, Roman Neruda:
Combining Parameter Space Search and Meta-learning for Data-Dependent Computational Agent Recommendation. 36-41 - Ali Bou Nassif, Luiz Fernando Capretz, Danny Ho:
Estimating Software Effort Using an ANN Model Based on Use Case Points. 42-47 - F. A. A. Queiroz, Douglas A. G. Vieira, X. L. Travassos Jr., Mario Fernández Pantoja:
Feature Extraction and Selection in Ground Penetrating Radar with Experimental Data Set of Inclusions in Concrete Blocks. 48-53 - Steven Robert Young, Itamar Arel:
Recurrent Clustering for Unsupervised Feature Extraction with Application to Sequence Detection. 54-55 - Ismaïl Biskri, Louis Rompre, Steve Descoteaux, Abdelghani Achouri, Boucif Amar Bensaber:
Extraction of Strong Associations in Classes of Similarities. 56-61 - Maxim Buzdalov:
Generation of Tests for Programming Challenge Tasks on Graph Theory Using Evolution Strategy. 62-65 - Arina Buzdalova, Maxim Buzdalov:
Adaptive Selection of Helper-Objectives with Reinforcement Learning. 66-67 - Nidhi Singh, Shrisha Rao:
Online Ensemble Learning Approach for Server Workload Prediction in Large Datacenters. 68-71 - Samaneh Sheikh-Nia, Gary Gréwal, Shawki Areibi:
A Sequential Ensemble Classification (SEC) System for Tackling the Problem of Unbalance Learning: A Case Study. 72-77 - Xiaoguang Wang, Hang Shao, Nathalie Japkowicz, Stan Matwin, Xuan Liu, Alex Bourque, Bao Nguyen:
Using SVM with Adaptively Asymmetric MisClassification Costs for Mine-Like Objects Detection. 78-82 - Juan José Rodríguez Diez, José-Francisco Díez-Pastor, Jesús Maudes, César Ignacio García-Osorio:
Disturbing Neighbors Ensembles of Trees for Imbalanced Data. 83-88 - Rok Blagus, Lara Lusa:
Evaluation of SMOTE for High-Dimensional Class-Imbalanced Microarray Data. 89-94 - Gustavo Enrique De Almeida Prado Alves Batista, Diego Furtado Silva, Ronaldo Cristiano Prati:
An Experimental Design to Evaluate Class Imbalance Treatment Methods. 95-101 - Colin Bellinger, Shiven Sharma, Nathalie Japkowicz:
One-Class versus Binary Classification: Which and When? 102-106 - Srinath Ravindran, Dennis R. Bahler:
Multilevel Regression Models for Learning in the Presence of Rare Data. 107-112 - Bazyli Debowski, Shawki Areibi, Gary Gréwal, J. Tempelman:
A Dynamic Sampling Framework for Multi-class Imbalanced Data. 113-118 - Xiaohui Yuan, Mohamed Abouelenien:
A Boosting Method for Learning from Uneven Data for Improved Face Recognition. 119-122 - Lara Lusa, Rok Blagus:
The Class-Imbalance Problem for High-Dimensional Class Prediction. 123-126 - Sherif Elfayoumy, Paul Bathen:
PQL: Protein Query Language. 127-132 - Fernanda C. Takahashi, Ricardo H. C. Takahashi:
Risk Estimation in Spatial Disease Clusters: An RBF Network Approach. 133-138 - Ali Bagheri-Khaligh, Ali Zarghami, M. T. Manzuri-Shalmani:
Novel Margin Features for Mammographic Mass Classification. 139-144 - Salma Begum, Ramazan Savas Aygün:
Analyzing the Performance of Hierarchical Binary Classifiers for Multi-class Classification Problem Using Biological Data. 145-150 - Taghi M. Khoshgoftaar, David J. Dittman, Randall Wald, Alireza Fazelpour:
First Order Statistics Based Feature Selection: A Diverse and Powerful Family of Feature Seleciton Techniques. 151-157 - Xiao Wang, Jinghua Gu, Jianhua Xuan, Ayesha N. Shajahan, Robert Clarke, Li Chen:
Sampling-Based Subnetwork Identification from Microarray Data and Protein-Protein Interaction Network. 158-163 - Kaya Kuru, Mahesan Niranjan, Yusuf Tunca:
Establishment of a Diagnostic Decision Support System in Genetic Dysmorphology. 164-169 - Randall Wald, Taghi M. Khoshgoftaar, David J. Dittman:
A New Fixed-Overlap Partitioning Algorithm for Determining Stability of Bioinformatics Gene Rankers. 170-177 - George Mathew, Zoran Obradovic:
Distributed Privacy Preserving Decision Support System for Predicting Hospitalization Risk in Hospitals with Insufficient Data. 178-183 - David J. Dittman, Taghi M. Khoshgoftaar, Randall Wald, Amri Napolitano:
Comparing Two New Gene Selection Ensemble Approaches with the Commonly-Used Approach. 184-191 - Tim Oates, Colin F. Mackenzie, Lynn G. Stansbury, Bizhan Aarabi, Deborah M. Stein, Peter Fu-Ming Hu:
Predicting Patient Outcomes from a Few Hours of High Resolution Vital Signs Data. 192-197 - Wael Awada, Taghi M. Khoshgoftaar, David J. Dittman, Randall Wald:
The Effect of Number of Iterations on Ensemble Gene Selection. 198-203 - Efsun Sarioglu, Hyeong-Ah Choi, Kabir Yadav:
Clinical Report Classification Using Natural Language Processing and Topic Modeling. 204-209 - Erik M. Ferragut, Jason A. Laska, Robert A. Bridges:
A New, Principled Approach to Anomaly Detection. 210-215 - Abdulrahman Alarifi, Mansour Alsaleh:
Web Spam: A Study of the Page Language Effect on the Spam Detection Features. 216-221 - Seref Sagiroglu, Uraz Yavanoglu:
A Web Based Face Counter Prediction System from Only Fingerprints. 222-226 - Renato Moraes Silva, Akebo Yamakami, Tiago A. Almeida:
An Analysis of Machine Learning Methods for Spam Host Detection. 227-232 - Uraz Yavanoglu, Burak Özçakmak, Ozlem Milletsever:
A New Intelligent Steganalysis Method for Waveform Audio Files. 233-239 - José María Gómez Hidalgo, Tiago A. Almeida, Akebo Yamakami:
On the Validity of a New SMS Spam Collection. 240-245 - Ke-Bing Zhang, Mehmet A. Orgun, Rajan Shankaran, Du Zhang:
Interactive Visual Classification of Multivariate Data. 246-251 - Liang Fu Lu, Mao Lin Huang, Tze-Haw Huang:
A New Axes Re-ordering Method in Parallel Coordinates Visualization. 252-257 - Tze-Haw Huang, Mao Lin Huang, Kang Zhang:
An Interactive Scatter Plot Metrics Visualization for Decision Trend Analysis. 258-264 - Daniel Butnaru, Benjamin Peherstorfer, Hans-Joachim Bungartz, Dirk Pflüger:
Fast Insight into High-Dimensional Parametrized Simulation Data. 265-270 - Jieun Kim, Woo Young Jung:
Cluster Analysis Using Improved Fuzzy c-Means Clustering for Object Localization: Vision Based Ill Cattle Localization System. 271-274 - Abid Muslim Malik:
Optimal Tile Size Selection Problem Using Machine Learning. 275-280 - Kehan Gao, Taghi M. Khoshgoftaar, Amri Napolitano:
A Hybrid Approach to Coping with High Dimensionality and Class Imbalance for Software Defect Prediction. 281-288 - Yingke Chen, Thomas Dyhre Nielsen:
Active Learning of Markov Decision Processes for System Verification. 289-294 - Shimaa M. El-Sherif, Behrouz Homayoun Far, Armin Eberlein:
Machine Learning Module to Improve Communication between Agents in Multi-agent System. 295-300 - Huanjing Wang, Taghi M. Khoshgoftaar, Randall Wald, Amri Napolitano:
A Comparative Study on the Stability of Software Metric Selection Techniques. 301-307 - Tracy Hall, David Bowes:
The State of Machine Learning Methodology in Software Fault Prediction. 308-313 - Ali Bou Nassif, Luiz Fernando Capretz, Danny Ho, Mohammad Azzeh:
A Treeboost Model for Software Effort Estimation Based on Use Case Points. 314-319 - Ekananta Manalif, Luiz Fernando Capretz, Ali Bou Nassif, Danny Ho:
Fuzzy-ExCOM Software Project Risk Assessment. 320-325 - Yun-Qian Miao, Rodrigo Araujo, Mohamed S. Kamel:
Cross-Domain Facial Expression Recognition Using Supervised Kernel Mean Matching. 326-332 - Daniela Pohl, Abdelhamid Bouchachia, Hermann Hellwagner:
Automatic Identification of Crisis-Related Sub-events Using Clustering. 333-338 - Corina Iovan, David Picard, Nicolas Thome, Matthieu Cord:
Classification of Urban Scenes from Geo-referenced Images in Urban Street-View Context. 339-344 - Antonio Deusany de Carvalho Junior, Leonardo Vidal Batista:
Composer Classification in Symbolic Data Using PPM. 345-350 - Marcelo Enrique Rodríguez-López, Anja Volk:
Melodic Segmentation Using the Jensen-Shannon Divergence. 351-356 - Eric J. Humphrey, Juan Pablo Bello:
Rethinking Automatic Chord Recognition with Convolutional Neural Networks. 357-362 - Taemin Cho, Kibeom Kim, Juan Pablo Bello:
A Minimum Frame Error Criterion for Hidden Markov Model Training. 363-368 - Pedro Silva:
Classification, Segmentation and Chronological Prediction of Cinematic Sound. 369-374 - Donald M. Morrison, Xiangen Hu:
Animal Cognition, Epistemic Fluency, Social Networks and the Scientific Habit of Mind. 375-380 - Ahmed Ali Abdalla Esmin, Roberto L. de Oliveira Jr., Stan Matwin:
Hierarchical Classification Approach to Emotion Recognition in Twitter. 381-385 - Chris Sumner, Alison Byers, Rachel Boochever, Gregory J. Park:
Predicting Dark Triad Personality Traits from Twitter Usage and a Linguistic Analysis of Tweets. 386-393 - Randall Wald, Taghi M. Khoshgoftaar, Amri Napolitano, Chris Sumner:
Using Twitter Content to Predict Psychopathy. 394-401 - Nidhi Singh, Harsimrat Sandhawalia, Nicolas Monet, Hervé Poirier, Jean-Marc Coursimault:
Large Scale URL-based Classification Using Online Incremental Learning. 402-409 - Ghazal Afroozi Milani, David A. Bohan, Stuart J. Dunbar, Stephen H. Muggleton, Alan Raybould, Alireza Tamaddoni-Nezhad:
Machine Learning and Text Mining of Trophic Links. 410-415 - David Hofmann, J. Michael Herrmann:
Spatial Feature Extraction for Classification of Nonstationary Myoelectric Signals. 416-421 - Kevin R. Keane, Jason J. Corso:
Maintaining Prior Distributions across Evolving Eigenspaces: An Application to Portfolio Construction. 422-427 - Ratko Grbic, Draen Slikovic, Petr Kadlec:
Adaptive Soft Sensor for Online Prediction Based on Moving Window Gaussian Process Regression. 428-433 - Moamar Sayed Mouchaweh, Patrice Billaudel:
Abrupt and Drift-Like Fault Diagnosis of Concurent Discrete Event Systems. 434-439 - Alisson Marques Silva, Walmir Matos Caminhas, André Paim Lemos, Fernando A. C. Gomide:
Evolving Neural Fuzzy Network with Adaptive Feature Selection. 440-445 - Yunfei Wang, Zhaoxiang Zhang, Yunhong Wang:
Moving Object Detection in Aerial Video. 446-450 - Simon Hunt, Qinggang Meng, Chris J. Hinde:
An Extension of the Consensus-Based Bundle Algorithm for Multi-agent Tasks with Task Based Requirements. 451-456 - Idil Isikli Esener, Tolga Yüksel, Mehmet Kurban:
Artificial Intelligence Based Hybrid Structures for Short-Term Load Forecasting Without Temperature Data. 457-462 - Sami S. Alwakeel, Najla Al-Nabhan:
A Cooperative Learning Scheme for Energy Efficient Routing in Wireless Sensor Networks. 463-468 - Ji Wu, C. K. Chan:
The Prediction of Monthly Average Solar Radiation with TDNN and ARIMA. 469-474 - Douglas A. G. Vieira, M. M. A. Cabral, T. V. Menezes, B. E. Silva, Adriano Chaves Lisboa:
Measuring the Spatial Error in Load Forecasting for Electrical Distribution Planning as a Problem of Transporting the Surplus to the In-Deficit Locations. 475-480 - Chandrika Kamath, Ya-Ju Fan:
Finding Motifs in Wind Generation Time Series Data. 481-486 - Murat Sahin, H. Ibrahim Bulbul, Ilhami Colak:
Position Control of a DC Motor Used in Solar Panels with Artificial Neural Network. 487-492 - Viktor Ten, N. T. Isembergenov, Y. Akhmetbekov, D. Sarbassov, A. Iglikov, B. T. Matkarimov:
Approach to Control of the Output Voltage in Renewable Energy Sources on the Basis of AE-method Using Genetic Algorithm. 493-497 - Ramazan Bayindir, Ilhami Colak, Seref Sagiroglu, Hamdi Tolga Kahraman:
Application of Adaptive Artificial Neural Network Method to Model the Excitation Currents of Synchronous Motors. 498-502 - Hidenori Maruta, Masashi Motomura, Fujio Kurokawa:
A Novel Neural Network Based Control Method with Adaptive On-Line Training for DC-DC Converters. 503-508 - Rebecca J. Passonneau, Ashish Tomar, Somnath Sarkar, Haimonti Dutta, Axinia Radeva:
Multivariate Assessment of a Repair Program for a New York City Electrical Grid. 509-514 - Sundeep Pattem:
Unsupervised Disaggregation for Non-intrusive Load Monitoring. 515-520 - Ramazan Bayindir, Mehmet Yesilbudak, Ilhami Colak, Seref Sagiroglu:
Excitation Current Forecasting for Reactive Power Compensation in Synchronous Motors: A Data Mining Approach. 521-525 - Onur Keskin, Ismet Ates, Ziya Haktan Karadeniz, Alpaslan Turgut, Zeki KiRal:
Monitoring and Determination of Wind Energy Potential by Web Based Wireless Network. 526-530 - Janell Duhaney, Taghi M. Khoshgoftaar:
Decision Level Fusion of Wavelet Features for Ocean Turbine State Detection. 531-537 - Tim Oates, Colin F. Mackenzie, Deborah M. Stein, Lynn G. Stansbury, Joseph Dubose, Bizhan Aarabi, Peter Fu-Ming Hu:
Exploiting Representational Diversity for Time Series Classification. 538-544 - Iryna Skrypnyk:
Finding Survival Groups in SEER Lung Cancer Data. 545-550 - Jason Van Hulse, Taghi M. Khoshgoftaar, Amri Napolitano:
A Novel Noise-Resistant Boosting Algorithm for Class-Skewed Data. 551-557 - Aaron Mishtal, Itamar Arel:
Jensen-Shannon Divergence in Ensembles of Concurrently-Trained Neural Networks. 558-562 - Aditya Sriram, Feng Luo:
O-linked Glycosylation Site Prediction Using Ensemble of Graphical Models. 563-568 - Jamil Alshaqsi, Wenjia Wang:
A Hybrid Method for Estimating the Predominant Number of Clusters in a Data Set. 569-573 - Toshihiko Yamasaki, Tsuhan Chen:
Face Recognition Challenge: Object Recognition Approaches for Human/Avatar Classification. 574-579 - Brian Cheung:
Convolutional Neural Networks Applied to Human Face Classification. 580-583 - Mohammed Korayem, Abdallah A. Mohamed, David J. Crandall, Roman V. Yampolskiy:
Learning Visual Features for the Avatar Captcha Recognition Challenge. 584-587 - Salem Alelyani, Huan Liu:
Ensemble Feature Selection in Face Recognition: ICMLA 2012 Challenge. 588-591 - Thomas Villmann, Marika Kästner, David Nebel, Martin Riedel:
ICMLA Face Recognition Challenge - Results of the Team Computational Intelligence Mittweida. 592-595
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