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THE 11th IEEE INTERNATIONAL CONFERENCE ON MACHINE LEARNING APPLICATIONS (ICMLA 2012) Day 1: Wednesday, December 12, 2012 Parallel Track 1 Conference Registration (7:00 AM to 6:00 PM) Light Breakfast (7:00 AM to 8:00 AM) Special Session I: Machine Learning in Information and System Security Issues Chair: Seref Sagiroglu (10:00 AM to 12:00 AM) A New, Principled Approach to Anomaly Detection Erik Ferragut, Jason Laska, and Robert Bridges Web Spam: A Study of the Page Language Effect on the Spam Detection Features Abdulrahman Alarifi, and Mansour Alsaleh A Web Based Face Counter Prediction System from Only Fingerprints Halil Ibrahim Bulbul, Uraz Yavanoglu, and Seref Sagiroglu An Analysis of Machine Learning Methods for Spam Host Detection Renato Moraes Silva, Tiago Almeida, and Akebo Yamakami A New Intelligent Steganalysis Method for Waveform Audio Steganography Uraz Yavanoglu, Burak Ozcakmak, and Ozlem Milletsever On the Validity of a New SMS Spam Collection Tiago Almeida, Jose Hidalgo, and Akebo Yamakami Coffee Break (10:00 AM to 10:15 AM) Special Session II: Information Visualization in Machine Learning Applications Chair: Mehmet Orgun (10:15 AM to 12:00 PM) Interactive Visual Classification of Multivariate Data Ke-Bing Zhang, Mehmet A. Orgun, Rajan Shankaran, and Du Zhang A Rational Axes Re-ordering Method in Parallel Coordinates Visualization Liang Fu Lu and Mao Lin Huang An Interactive Scatter Plot Metrics Visualization for Decision Trend Analysis Tze-Haw Huang, Mao Lin Huang and Kang Zhang Fast Insight into High-Dimensional Parameterized Simulation Data Daniel Butnaru, Benjamin Peherstorfer, Dirk Pflüger and Hans-Joachim Bungartz Lunch (On Your Own) (12:00 PM to 1:00 PM) Special Session III: Machine Learning Applications in Software Engineering Chair: Naeem Seliya (1:00 PM to 3:00 PM) Optimal Tile Size Selection Problem Using Machine Learning Abid Malik A Hybrid Approach to Coping with High Dimensionality and Class Imbalance for Software Defect Kehan Gao, Taghi Khoshgoftaar, and Amri Napolitano Active Learning of Markov Decision Processes for System Verification Yingke Chen and Thomas Nielsen Machine Learning Module to Improve Communication Between Agents in Multi-Agent System Shimaa El-Sherif and Behrouz Far A Comparative Study on the Stability of Software Metric Selection Techniques Huanjing Wang, Taghi Khoshgoftaar, Randall Wald, and Amri Napolitano Coffee Break (3:00 PM to 3:15 PM) Special Session IV: Machine Learning with Multimedia Data Chair: Jose San Pedro (3:15 PM to 5:55 PM) Rethinking Automatic Chord Recognition with Convolutional Neural Networks Eric Humphrey, and Juan Bello A Minimum Frame Error Criterion for Hidden Markov Model Training Kibeom Kim, Taemin Cho, and Juan Bello Cross-domain Facial Expression Recognition Using Supervised Kernel Mean Matching Yun-Qian Miao, Rodrigo Araujo, and Mohamed Kamel Automatic Identification of Crisis-Related Sub-Events using Clustering Daniela Pohl, Abdelhamid Bouchachia, and Hermann Hellwagner Classification of Urban Scenes from Georeferenced Images in Urban Street-View Context Corina Iovan, David Picard, Nicolas Thome, and Matthieu Cord Composer Classification in Symbolic Data Using PPM Antonio Deusany de Carvalho Junior and Leonardo Batista Melodic Segmentation Using the Jensen-Shannon Divergence Marcelo Rodríguez Classification, Segmentation and Chronological Prediction of Cinematic Sound Pedro Silva THE 11th IEEE INTERNATIONAL CONFERENCE ON MACHINE LEARNING APPLICATIONS (ICMLA 2012) Day 1: Wednesday, December 12, 2012 Parallel Track 2 Conference Registration (7:00 AM to 6:00 PM) Light Breakfast (7:00 AM to 8:00 AM) Special Session V: Learning on the Web (LW) Chair: Bo Luo (8:00 AM to 10:00 AM) Animal Cognition, Epistemic Fluency, Social Networks, and the Scientific Habit of Mind Donald Morrison and Xiangen Hu Using Twitter Content to Predict Psychopathy Randall Wald, Taghi Khoshgoftaar, Amri Napolitano, and Chris Sumner Predicting Dark Triad Personality Traits from Twitter Usage and a Linguistic Analysis of Tweets Chris Sumner, Alison Byers, Rachel Boochever, and Gregory Park Hierarchical Classification Approach to Emotion Recognition in Twitter Ahmed Esmin, Roberto de Oliveira, and Stan Matwin Large Scale URL-based Classification using Online Incremental Learning Ghazal Afroozi Milani, David Bohan, Stuart Dunbar, Stephen Muggleton, Alan Raybould, and Alireza Tamaddoni-Nezhad Machine Learning and Text Mining of Trophic Links Ghazal Afroozi Milani, Alireza Tamaddoni-Nezhad, David Bohan, Stuart Dunbar, Alan Raybould, and Stephen Muggleton Coffee Break (10:00 AM to 10:15 AM) Workshop A-1: Machine Learning Algorithms, Systems, and Applications Chair: Moamar Sayed-Mouchaweh (10:15 AM to 12:00 PM) Prognosis Based on Handling Drifts in Dynamical Environments - Application to a Wind Turbine Antoine Chammas, Eric Duviella, and Stéphane Lecoeuche A Machine Learning Based Topic Exploration and Categorization on Surveys Clint P. George, Daisy Zhe Wang, Joseph N. Wilson, Liana M. Epstein, Philip Garland, and Annabell Suh Error Distance Based Approach for Drift Detection and Monitoring Imen Khamassi and Moamar Sayed-Mouchaweh Improving Image Segmentation Using Genetic Algorithm" Huynh Thi Thanh Binh, Mai Dinh Loi, and Nguyen Thi Thuy Lunch (On Your Own) (12:00 PM to 1:00 PM) Workshop A-2: Machine Learning Algorithms, Systems, and Applications Chair: Moamar Sayed-Mouchaweh (1:00 PM to 3:00 PM) The Importance of Outlier Relationships in Mobile Call Graphs Derek Doran, Veena Mendiratta, Chitra Phadke, and Huseyin Uzunalioglu Toward a Sequential Approach to Pipelined Image Recognition Derek Rose and Itamar Arel Combining Parameter Space Search and Meta-Learning for Data-Dependent Computational Agent Recommendation Ondˇrej Kaz´ık, Kl´ara Peˇskov´a, Martin Pil´at, and Roman Neruda Estimating Software Effort Using an ANN Model Based on Use Case Points Ali Bou Nassif, Luiz Fernando Capretz, and Danny Ho Coffee Break (3:00 PM to 3:15 PM) Workshop B: Class Imbalances: Past, Present, Future (CIPPF’2012) Chair: Nathalie Japkowicz (3:15 PM to 5:55 PM) A Sequential Ensemble Classification (SEC) System for Tackling the Problem of Unbalance Learning: A Case Study Samaneh Sheikh-Nia, Gary Grewal, and Shawki Areibi Using SVM with Adaptively Asymmetric Misclassification Costs for Mine-Like Objects Detection Xiaoguang Wang, Hang Shao, Nathalie Japkowicz, Stan Matwin, Xuan Liu, Bao Nguyen, and Alex Disturbing Neighbors Ensembles of Trees for Imbalanced Data Juan Rodriguez, Jose Diez-Pastor, Jesus Maudes, and Cesar Garcia-Osorio Evaluation of SMOTE for High-Dimensional Class-Imbalanced Microarray Data Rok Blagus and Lara Lusa An Experimental Design to Evaluate Class Imbalance Treatment Methods Gustavo Batista, Diego Silva, Ronaldo Prati, and Rafael Giusti One-Class versus Binary Classification: Which and When? Shiven Sharma, Colin Bellinger, and Nathalie Japkowicz Learning in the Presence of Rare Data Srinath Ravindran and Dennis Bahler A Dynamic Sampling Framework for Multi-Class Imbalanced Data Bazyli Debowski, S. Areibi, G. Grewal, and J. Tempelman THE 11th IEEE INTERNATIONAL CONFERENCE ON MACHINE LEARNING APPLICATIONS (ICMLA 2012) Day 2: Thursday, December 13, 2012 Parallel Track 1 Conference Registration (7:00 AM to 6:00 PM) Light Breakfast (7:00 AM to 8:00 AM) KEYNOTE SPEAKER (8:30 AM to 9:30 AM) Coffee Break (9:30 AM to 10:00 AM) Session 1: Recognition and Detection Chair: (8:00 AM to 10:00 PM) Application of Structural Case-based Reasoning to Activity Recognition in Smart Home Environments Steven Satterfield, Thomas Reichherzer, John Coffey, and Eman El-Sheikh Detecting Web Robots Using Resource Request Patterns Derek Doran and Swapna Gokhale Automatically Detecting Avalanche Events in Passive Seismic Data Marc Rubin, Tracy Camp, Alec van Herwijnen, and Jürg Schweizer Sparse Dictionary Reconstruction For Textile Defect Detection Dimitri Semenovich and Jian Zhou Convolutional Support Vector Machines for Quantifying the Visual Learning and Recognition Progress in Swarm Robotic Systems Jawad Nagi, Gianni A. Di Caro, Alessandro Giusti, and Luca M. Garmbardella Introducing Subspace Grids to Recognize Patterns in Multidimensional Data Arif Wani Lunch (Provided by the Conference) (12:00 PM to 1:00 PM) Session 2: Face Recognition Chair: (1:00 PM to 3:00 PM) Face Recognition in the Virtual World: Recognizing Avatar Faces Roman Yampolskiy, Brendan Klare, and Anil Jain Subject-Independent Facial Expression Recognition with Biologically Inspired Features Weifeng Liu, Caifeng Song, and Yanjiang Wang Sparse Representation based Discriminative Canonical Correlation Analysis for Face Recognition Naiyang Guan, Xiang Zhang, Zhigang Luo, and Long Lan Adaptive Extended Local Ternary Pattern (AELTP) for Recognizing Avatar Faces Abdallah Mohamed and Roman Yampolskiy Coffee Break (3:00 PM to 3:15 PM) Invited Industry Affliate: LEXISNEXIS RISK SOLUTIONS Chair: The HPCC Systems Machine Learning Framework: A Scalable and Extensible ML platform for Big Data Edin Muharemagic, Architect and Data Scientist (3:15 PM to 5:15 PM) CONFERENCE RECEPTION Invited Industry Participant: LEXISNEXIS RISK SOLUTIONS (6:30 PM to 9:00 PM) Poster Presentations: ICMLA 2012 Main Conference Chair: (6:30 PM to 9:00 PM) Supervised Dictionary Learning via Non-Negative Matrix Factorization for Classification Yifeng Li and Alioune Ngom A Series Inspired CPG Model for Robot Walking Control Jiaqi Zhang, Chenkun Qi, and Xianchao Zhao CPG and Reflexes Combined AdaptiveWalking Control for AIBO Xianchao Zhao, Chenkun Qi, and Jiaqi Zhang Integrating Machine Learning into a Medical Decision Support System to Address the Problem of Missing Patient Data Atif Khan, John Doucette, Robin Cohen, and Dan Lizotte Semi-Supervised Learning on Single-view Datasets by Integration of Multiple Co-Trained Classifiers Jelena Slivka, Ping Zhang, Aleksandar Kovačević, Zora Konjović, and Zoran Obradović Scalable Overlapping Co-Clustering of Word-Document Data Fabricio De Franca Real-time statistical background learning for foreground detection under unstable illuminations Dawei Li Ordinal Data Classification Using Kernel Discriminant Analysis: A Comparison of Three Approaches Jaime Cardoso, Ricardo Sousa, and Ines Domingues Interval-Valued Centroids in K-Means Algorithms Benjamine Nordin, Chenyi Hu, Bernard Chen, and Victor Sheng A Novel Approach to Detect Smile Expression Yuan Zhang, Li Zhou, and Tao Sun Structure Learning for Bayesian Networks using the Physarum Solver Torsten Schoen, Martin Stetter, and Elmar Lang An Integrated Machine Learning and Case-Based Reasoning Approach to Answer Validation Ingo Glöckner and Karl-Heinz Weis Using Local Regression in Monte Carlo Tree Search Arisoa Randrianasolo and Larry Pyeatt An Artificial Immune System based on Holland's Classifier as Network Intrusion Detection Arisoa Randrianasolo and Larry Pyeatt Taxonomic Dimensionality Reduction in Text Classification Richard McAllister and John Sheppard Artificial Neural Network for Prediction of Ethnicity Based on Iris Texture Anahita Zarei and Duxing Mou Semantic Indexing of Video Simulations for Enhancing Medical Care during Crises Shuangshuang Jiang, Hichem Frigui, and Aaron Calhoun Unsupervised Anomaly Detection in Transactional Data Mohamed Bouguessa Riemannian Shape Analysis based on Meridian Curves Shuisheng Xie, Jundong Liu, and Charles Smith The Assessment of the Quality of Sugar using Electronic Tongue and Machine Learning Algorithms Tiemi Sakata, Katti Faceli, Tiago Almeida, Antonio Riul Jr, and Wanessa Steluti A normalized criterion of spatial clustering in model-based framework Xuanzhou Wang, Edith Grall-Maës, and Pierre Beauseroy Muscle Categorization using Quantitative Needle Electromyography: A 2-Stage Gaussian Mixture Model based Approach Meena AbdelMaseeh, Pascal Poupart, Benn Smith, and Daniel Stashuk Physics-Based Constraints in the Forward Modeling Analysis of Time-Correlated Image Data James Carroll and Chris Tomkins Regularized Probabilistic Latent Semantic Analysis with Continuous Observations Hao Zhang, Lynne Parker, and Richard Edwards A Statistical Associative Classifier with Automatic Estimation of Parameters in Computer Aided Carolina Watanabe, Marcela Ribeiro, Agma Traina, and Caetano Traina Jr Mining Web to Detect Phishing URLs Ram Basnet and Andrew Sung DPBoost: A Boosting Approach to Macro-Action Discovery Leonidas Lefakis and Francois Fleuret A Multi-label and Adaptive Genre Classification of Web Pages Chaker Jebari and Arif Wani Identifying accuracy of social tags by using clustering representations of song lyrics Yajie Hu and Mitsunori Ogihara Enhanced Multiagent Multi-Objective Reinforcement Learning for Urban Traffic Light Control Mohamed A. Khamis and Walid Gomaa On the use of SVMs to Detect Anomalies in a Stream of SIP Messages Raihana Ferdous, Renato Lo Cigno, and Alessandro Zorat Decremental Learning of Evolving Fuzzy Inference Systems Using a Sliding Window Manuel Bouillon, Eric Anquetil, and Abdullah Almaksour Online time series segmentation using temporal mixture models and Bayesian model selection Allou Same and Gérard Govaert Occluded Face Recognition Using Correntropy-based Nonnegative Matrix Factorization Tolga Ensari, Jan Chorowski, and Jacek Zurada Reinforcement Learning for Production Ramp-up - A Q-Batch Learning Approach Stefanos Doltsinis, Pedro Ferreira, and Niels Lohse, Interaction Trees: Optimizing Ensembles of Decision Trees for Gene-Gene Interaction Detections Amin Assareh, L.Gwenn Volkert, and Jing Li Scalable Learning and Knowledge Discovery via Adaptive Sampling Jianhua Chen Tensor-based Temporal Behavior Analysis in Pain Medicine Andrew Hall, Guangzhi Qu, Ishwar Sethi, and Craig Hartrick Prediction of protein structures using GPU based simulated annealing Hui Li and Chunmei Liu Assessing Encoding Techniques through Correlation-Based Metrics Giuliano Armano and Emanuele Tamponi Predicting Congressional Votes Based on Campaign Finance Data Samuel Smith, Jae Yeon (Claire) Baek, Zhaoyi Kang, Dawn Song, Laurent El Ghaoui, and Mario Frank Polynomial Correlation Filters for Human Face Recognition Mohamed Alkanhal and Ghulam Muhammad Block Level Video Steganalysis Scheme Kesav Kancherla and Srinivas Mukkamala Estimation of susceptibility to landslides using neural networks based on the FALCON-ART model Alvaro Viloria and Carolina Chang Prediction of the Calcium and Magnesium content in soils through a Generalized Regression Neural Networks and Genetic Algorithms Yessika Labrador and Carolina Chang A New Continuum Regression Method for Quantitative Analysis of Raman Spectrum Shuo Li A Sequential Multi-task Learning Neural Network with Metric-Based Knowledge Transfer Simeng Yue and Seiichi Ozawa Numerical Solution of Dirichlet Boundary Value Problems for Partial Differential Equations Using Quantum-Behaved Particle Swarm Optimization with Random Gaussian Function Youngmin Ha Venue Recommendation: Submitting your Paper with Style Zaihan Yang and Brian Davison A Sampling-Based Approach to Reducing the Complexity of Continuous State Space POMDPs by Decomposition into Coupled Perceptual and Decision Processes Rasool Fakoor and Manfred Huber Age-Group Classification of Facial Images Li Liu, Jianming Liu, and Jun Cheng A Game Theoretic Framework for Communication in Fully Observable Multiagent Systems Tummalapalli Reddy, Manfred Huber, and Gergely Zaruba Poster Presentations: Workshops and Special Sessions Chair: (6:30 PM to 9:00 PM) Clinical Report Classification using Natural Language Processing and Topic Modeling Efsun Sarioglu, Kabir Yadav, and Hyeong-Ah Choi A Boosting Method for Learning from Imbalanced Data toward Improved Face Recognition Xiaohui Yuan and Mohamed Abouelenien The Class-Imbalance Problem for High-Dimensional Class Prediction Lara Lusa and Rok Blagus Feature Extraction and Selection in Ground Penetrating Radar with Experimental Data Set of Inclusions in Concrete Blocks F. A. A. Queiroz, D. A. G. Vieira, X. L. Travassos, and M. F. Pantoja Recurrent Clustering for Unsupervised Feature Extraction with Application to Sequence Detection S. R. Young and I. Arel Extraction of Strong Associations in Classes of Similarities I. Biskri, L. Rompré, S. Descoteaux, A. Achouri, and B. A. Benasaber Generation of Tests for Programming Challenge Tasks on Graph Theory using Evolution Strategy M. Buzdalov Adaptive Selection of Helper-Objectives with Reinforcement Learning A. Buzdalova and M. Buzdalov Online Ensemble Learning Approach for Server Workload Prediction in Large Datacenters N. Singh and S. Rao The State of Machine Learning Methodology in Software Fault Prediction Tracy Hall and David Bowes A Treeboost Model for Software Effort Estimation Based on Use Case Points Ali Nassif, Luiz Capretz, Danny Ho, and Mohammad Azzeh Fuzzy-ExCOM Software Project Risk Assessment Ekananta Manalif, Luiz Capretz, and Danny Ho Cluster Analysis Using Improved Fuzzy c-means Clustering for Object Localization Jieun Kim and Woo Young Jung An Extension of the Consensus-Based Bundle Algorithm for Group Dependent Tasks with Dependencies S. Hunt, Q. Meng, and C.J. Hinde THE 11th IEEE INTERNATIONAL CONFERENCE ON MACHINE LEARNING APPLICATIONS (ICMLA 2012) Day 2: Thursday, December 13, 2012 Parallel Track 2 Conference Registration (7:00 AM to 6:00 PM) Light Breakfast (7:00 AM to 8:00 AM) KEYNOTE SPEAKER (8:30 AM to 9:30 AM) Coffee Break (9:30 AM to 10:00 AM) Session 3: Machine Learning in Bioinformatics and Computational Biology (II) Chair: (10:00 AM to 12:00 PM) Effective Enrichment of Gene Expression Data: Building an integrated approach for generating new samples and assessing their quality Utku Sirin, Utku Erdogdu, Faruk Polat, Mehmet Tan, and Reda Alhajj Determining the Number of Iterations Appropriate For Ensemble Gene Selection on Microarray Data David Dittman, Taghi Khoshgoftaar, Randall Wald, and Amri Napolitano Mean Aggregation Versus Robust Rank Aggregation For Ensemble Gene Selection Randall Wald, Taghi Khoshgoftaar, and David Dittman SVM-based framework for the robust Extraction of Objects from Histopathological Images Using Color, Texture, Scale and Geometry Antoine Veillard, Stephane Bressan, and Daniel Racoceanu A Novel Hierarchical Level Set with AR-Boost for White Matter Lesion Segmentation in Diabetes Baidya Saha, Sriraam Natarajan, Gopi Kota, Christopher Whitlow, Donald Bowden, Jasmin Divers, Barry Freedman, and Joseph Maldjian Lunch (Provided by the Conference) (12:00 PM to 1:00 PM) Workshop C-1: Machine Learning and Applications in Health Informatics Chair: Naeem Seliya (1:00 PM to 3:00 PM) PQL: Protein Query Language Sherif Elfayoumy and Paul Bathen Risk Estimation in Spatial Disease Clusters: An RBF Network Approach Fernanda Takahashi and Ricardo Takahashi Comparing Two New Gene Selection Ensemble Approaches with the Commonly-used Approach David Dittman, Taghi Khoshgoftaar, Randall Wald, and Amri Napolitano Analyzing the Performance of Hierarchical Binary Classifiers for Multi-Class Classification Problem Using Biological Data Salma Begum and Ramazan Aygun First Order Statistics Based Feature Selection: A Diverse and Powerful Family of Feature Selection Taghi Khoshgoftaar, David Dittman, Randall Wald, and Alireza Fazelpour Sampling-based Subnetwork Identification from Microarray Data and Protein-protein Interaction Xiao Wang, Jinghua Gu, Li Chen, Ayesha N. Shajahan, Robert Clarke, and Jianhua Xuan Coffee Break (3:00 PM to 3:15 PM) Session 4: Machine Learning in Bioinformatics and Computational Biology (I) Chair: (3:15 PM to 5:15 PM) Prediction of Protein Essentiality the Support Vector Machine with Statistical Tests Chiou-Yi Hor, Chang-Biau Yang, Zih-Jie Yang, and Chiou-Ting Tseng Incremental Mitosis: Discovering Clusters of Arbitrary Shapes and Densities in Dynamic Data Rania Ibrahim, Naglaa Ahmed, Noha Yousri, and Mohamed Ismail Network transformation of gene expression for reliable feature extraction Remy Nicolle, Mohamed Elati, and François Radvanyi Combining Gene Expression Profiles and Protein-Protein Interactions for Identifying Functional Dingding Wang, Mitsunori Ogihara, Erliang Zeng, and Tao Li Building synthetic networks of the budding yeast cell-cycle using swarm intelligence Gonzalo Ruz, Tania Timmermann, and Eric Goles Incorporating gene significance in the impact analysis of signaling pathways Calin Voichita, Michele Donato, and Sorin Draghici THE 11th IEEE INTERNATIONAL CONFERENCE ON MACHINE LEARNING APPLICATIONS (ICMLA 2012) Day 2: Thursday, December 13, 2012 Parallel Track 3 Conference Registration (7:00 AM to 6:00 PM) Light Breakfast (7:00 AM to 8:00 AM) KEYNOTE SPEAKER (8:30 AM to 9:30 AM) Coffee Break (9:30 AM to 10:00 AM) Session 5: Kernel and Reinforcement Learning Chair: (10:00 AM to 12:00 PM) Differentiable Kernels in Generalized Matrix Learning Vector Quantization Thomas Villmann, Marika Kästner, Martin Riedel, David Nebel, and Michael Biehl Monte Carlo Tree Search for Bayesian Reinforcement Learning Vien Ngo and Wolfgang Ertel An Inverse Reinforcement Learning algorithm for Partially Observable Domains with Application on Healthcare Dialogue Management Hamid R. Chinaei and Brahim Chaib-draa Increasing Efficiency of Evolutionary Algorithms by Choosing between Auxiliary Fitness Functions with Reinforcement Learning Arina Buzdalova and Maxim Buzdalov pRBF Kernels: A Framework for the Incorporation of Task-Specific Properties into Support Vector Antoine Veillard, Daniel Racoceanu, and Stephane Bressan Lunch (Provided by the Conference) (12:00 PM to 1:00 PM) Session 6: Structure, Manifold and Bayesian Learning Chair: (1:00 PM to 3:00 PM) Deep Structure Learning: Beyond Connectionist Approaches Benjamin Mitchell and John Sheppard Two Effective Algorithms towards the Improvement of Bayesian Network Structure Learning Yan Tang, Kendra Cooper, and DeShan Tang Balancing Public Cycle Sharing Schemes using Independent Learners Jeremiah Smith, Luke Dickens, and Krysia Broda Semi-supervised Non-negative Patch Alignment Framework Long Lan, Naiyang Guan, and Zhigang Luo Coffee Break (3:00 PM to 3:15 PM) Special Session VI: Adaptive and Dynamic Modeling in Non Stationary Environments Chair: Moamar Sayed-Mouchaweh (3:15 PM to 5:55 PM) Spatial Feature Extraction for Classification of Non-Stationary Myoelectric Signals David Hofmann and J. Michael Herrmann Maintaining Prior Distributions Across Evolving Eigenspaces – An Application to Portfolio Construction Kevin R. Keane and Jason J. Corso Adaptive Soft Sensor for Online Prediction Based on Moving Window Gaussian Process Regression Ratko Grbić, Dražen Slišković, and Petr Kadlec Abrupt and Drift-Like Fault Diagnosis of Concurrent Discrete Event Systems Moamar Sayed-Mouchaweh and Patrice Billaudel Evolving Neural Fuzzy Network with Adaptive Feature Selection Alisson Silva, Walmir Caminhas, Andr´e Lemos, and Fernando Gomide Moving Object Detection in Aerial Video Yunfei Wang, Zhaoxiang Zhang, and Yunhong Wang THE 11th IEEE INTERNATIONAL CONFERENCE ON MACHINE LEARNING APPLICATIONS (ICMLA 2012) Day 3: Friday, December 14, 2012 Parallel Track 1 Conference Registration (7:00 AM to 6:00 PM) Light Breakfast (7:00 AM to 8:00 AM) KEYNOTE SPEAKER (8:30 AM to 9:30 AM) Utilizing Data Mining and Machine Learning Techniques for Effective Network Construction and Data Analysis Reda Alhajj, University of Calgary Coffee Break (9:30 AM to 10:00 AM) Session 7: Machine Learning Methods for Biomedical Application Chair: Naeem Seliya (10:00 AM to 12:00 PM) Estimating Hospital Admissions with a Randomized Regression Approach Kleber Garcia and Philip Chan Coupled Directional Level Set for MR Image Segmentation Qin Xianjing and Pingkun Yan Stereo Matching Based on Random Speckle Projection for Dynamic 3D Sensing Jun Jiang, Jun Cheng, and Hai Zhao Semantic Data Types in Machine Learning from Healthcare Data Janusz Wojtusiak A Machine Learning Pipeline for Three-way Classification of Alzheimer Patients from Structural Magnetic Resonance Images of the Brain Sriraam Natarajan and Baidya Saha Lunch (Provided by the Conference) (12:00 PM to 1:00 PM) Session 8: Classification Methods Chair: (1:00 PM to 3:00 PM) Minimal Norm Support Vector Machines for Large Classification Tasks Robert Strack and Vojislav Kecman Fast Time Series Classification Based on Infrequent Shapelets Zhi Dong, Qing He, Fuzhen Zhuang, Tianfeng Shang, and Zhongzhi Shi Cost-Sensitive Universum-SVM Sauptik Dhar and Vladimir Cherkassky A Hybrid Transfer Learning Mechanism for Object Classification Across View Yi Mo, Zhaoxiang Zhang, and Yunhong Wang Location Type Classification Using Tweet Content Haibin Liu, Bo Luo, and Dongwon Lee Coffee Break (3:00 PM to 3:15 PM) Session 9: Machine Learning Applications Chair: (3:15 PM to 5:15 PM) Topological indoor Localization & Navigation for Autonomous Industrial Mobile Manipulator Hongtai Cheng, Heping Chen, and Yong Liu Estimating the Convection Heat Transfer Coefficient of a Run-Out Cooling Table in a Steel-Making Process by Neural Networks Gláucio Barcelos, Douglas Vieria, Rodney Saldanha, and Luciano Mirando Writing with Style: Venue Classification Zaihan Yang and Brian Davison Incorporating incremental and active learning for scene classification Xianglin Li and Jun Cheng Augmented Coupled Dictionary Learning for Image Super-Resolution Muhammad Rushdi Studying the Effect of Class Imbalance in Ocean Turbine Fault Data on Reliable State Detection Janell Duhaney, Taghi Khoshgoftaar, and Amri Napolitano CONFERENCE BANQUET (6:30 PM to 9:00 PM) THE 11th IEEE INTERNATIONAL CONFERENCE ON MACHINE LEARNING APPLICATIONS (ICMLA 2012) Day 3: Friday, December 14, 2012 Parallel Track 2 Conference Registration (7:00 AM to 6:00 PM) Light Breakfast (7:00 AM to 8:00 AM) KEYNOTE SPEAKER (8:30 AM to 9:30 AM) Utilizing Data Mining and Machine Learning Techniques for Effective Network Construction and Data Analysis Reda Alhajj, University of Calgary Coffee Break (9:30 AM to 10:00 AM) Session 10: Data Categorization, Data Visualization and Numerical Optimization Chair: (10:00 AM to 12:00 PM) Cellular Differentiation Algorithm for High Dimensional Numerical Function Optimization Yanjiang Wang, Chengna Yuan, and Weifeng Liu Online recovery of missing values in vital signs data streams using low-rank matrix completion Shiming Yang, Konstantinos Kalpakis, Colin Mackenzie, Lynn Stansbury, Deborah Stein, Thomas Scalea, and Peter Hu Analysis of Causality in Stock Market Data Chathra Hendahewa and Vladimir Pavlovic An Efficient Algorithm for Top-k Queries on Uncertain Data Streams Caiyan Dai, Ling Chen, Yixin Chen, and Keming Tang Perceptual User study for Combined Treemap Jie Liang, Mao Lin Huang, and Quang Vinh Nguyen Lunch (Provided by the Conference) (12:00 PM to 1:00 PM) Session 11: Feature Selection and Fusion Chair: (1:00 PM to 3:00 PM) An Empirical Study on the Stability of Feature Selection for Imbalanced Software Engineering Data Huanjing Wang, Taghi Khoshgoftaar, Randall Wald, and Amri Napolitano Feature Mapping and Fusion for Music Genre Classification Haythem Balti and Hichem Frigui Label Image Constrained Atlas Selection for Image Segmentation Cao Yihu and Pingkun Yan Applying Feature Selection to Short Time Wavelet Transformed Vibration Data for Reliability Analysis of an Ocean Turbine Janell Duhaney, Taghi Khoshgoftaar, and Randall Wald Supervised Low Rank Matrix Approximation to Improve Selection Stability Salem Alelyani and Huan Liu Coffee Break (3:00 PM to 3:15 PM) Session 12: Machine Learning for Data Analysis Chair: (3:15 PM to 5:15 PM) Backtracking for More Efficient Large Scale Dynamic Programming Charles Tripp and Ross Shachter Gradient-based Algorithms for the Automatic Construction of Fuzzy Cognitive Maps Salomão Madeiro and Fernando Von Zuben Randomized Sampling for Large Data Applications of SVM Erik Ferragut and Jason Laska Obtaining full regularization paths for robust sparse coding with applications to face recognition Jan Chorowski and Jacek Zurada CONFERENCE BANQUET (6:30 PM to 9:00 PM) THE 11th IEEE INTERNATIONAL CONFERENCE ON MACHINE LEARNING APPLICATIONS (ICMLA 2012) Day 3: Friday, December 14, 2012 Parallel Track 3 Conference Registration (7:00 AM to 6:00 PM) Light Breakfast (7:00 AM to 8:00 AM) KEYNOTE SPEAKER (8:30 AM to 9:30 AM) Utilizing Data Mining and Machine Learning Techniques for Effective Network Construction and Data Analysis Reda Alhajj, University of Calgary Coffee Break (9:30 AM to 10:00 AM) Special Session VII-1: Machine Learning in Energy Applications Chair: Ilhami Colak (10:00 AM to 12:00 PM) Application of Adaptive Artificial Neural Network Method to Model the Excitation Currents of Synchronous Motors Ramazan Bayindir, Ilhami Colak, Seref Sagiroglu, and Hamdi Tolga Kahraman A Novel Neural Network Based Control Method With Adaptive On-line Training for DC–DC Converters Hidenori Maruta, Masashi Motomura, and Fujio Kurokawa Multivariate Assessment of a Repair Program for a New York City Electrical Grid Rebecca Passonneau, Ashish Tomar, Somnath Sarkar, and Haimonti Dutta Unsupervised Disaggregation for Nonintrusive Load Monitoring Sundeep PaƩem Approach to Control of the Output Voltage in Renewable Energy Sources on the Basis of AE-method Using Genetic Algorithm V. Ten, N. Isembergenov, Y. Akhmetbekov, D. Sarbassov, A. Iglikov, and B. Matkarimov Excitation Current Forecasting for Reactive Power Compensation in Synchronous Motors: A Data Mining Approach Ramazan Bayindir, Mehmet Yesilbudak, Ilhami Colak, and Seref Sagiroglu Lunch (Provided by the Conference) (12:00 PM to 1:00 PM) Session 13: Probabilistic and Model Based Learning Chair: (1:00 PM to 3:00 PM) Online Variational Learning for a Dirichlet Process Mixture of Dirichlet Distributions and Its Application Wentao Fan and Nizar Bouguila Personalized Recommendation in Folksonomies using a Joint Probabilistic Model of Users, Resources and Tags Muzaffer Alper and Şule Gündüz-Öğüdücü Temporal Pattern Identification Using Reconstructed Phase Space and Hidden Markov Model Wenjing Zhang and Xin Feng Coffee Break (3:00 PM to 3:15 PM) Special Session VII-2: Machine Learning in Energy Applications Chair: Ilhami Colak (3:15 PM to 5:55 PM) Artificial Intelligence Based Hybrid Structures for Short-Term Load Forecasting Without Temperature Idil Isikli Esener, Tolga Yuksel, and Mehmet Kurban A Cooperative Learning Scheme for Energy Efficient Routing in Wireless Sensor Networks Sami S. Alwakeel and Najla A. Al-Nabhan The Prediction of Monthly Average Solar Radiation with TDNN and ARIMA Ji Wu and CK Chan Measuring the Spatial Error in Load Forecasting for Electrical Distribution Planning as a Problem of Transporting the Surplus to the In-Deficit Locations Vieria Douglas, D. A. G. Vieira, M. M. A. Cabral, T. V. Menezes, B. E. Silva, and A. C. Lisboa Finding Motifs in Wind Generation Time Series Data Chandrika Kamath and Ya Ju Fan Position Control of a DC Motor Used in Solar Panels with Artificial Neural Networks Murat Sahin, H. Ibrahim Bulbul, and Ilhami Colak Monitoring and Determination of Wind Energy Potential by Web Based Wireless Network Onur Keskin, İsmet Ateş, Z. Haktan Karadeniz, Alpaslan Turgut, and Zeki Kıral CONFERENCE BANQUET (6:30 PM to 9:00 PM) THE 11th IEEE INTERNATIONAL CONFERENCE ON MACHINE LEARNING APPLICATIONS (ICMLA 2012) Day 4: Saturday, December 15, 2012 Parallel Track 1 Conference Registration (7:00 AM to 3:00 PM) Light Breakfast (7:00 AM to 8:00 AM) KEYNOTE SPEAKER (8:30 AM to 9:30 AM) Coffee Break (9:30 AM to 10:00 AM) Session 14: Clustering Methods Chair: (10:00 AM to 12:00 PM) Compressive Clustering of High-dimensional Data Andrzej Ruta, Fatih Porikli Binary Function Clustering using Semantic Hashes Wesley Jin, Sagar Chaki, Arie Gurfinkel, Charles Hines, Cory Cohen, Jeffrey Havrilla, and Priya Automated Storage Tiering Using Markov Chain Correlation Based Clustering Malak Alshawabkeh, Alma Riska, Adnan Sahin, and Motasem Awwad Lunch (Provided by the Conference) (12:00 PM to 1:00 PM) Session 15: Graph Based Learning Chair: (1:00 PM to 3:00 PM) A comparison of graph embedding methods for vertex nomination Ming Sun, Minh Tang, and Carey Priebe Graph Based Semi-Supervised Non-negative Matrix Factorization for Document Clustering Naiyang Guan, Xuhui Huang, Long Lan, Zhigang Luo, and Xiang Zhang Can frequent itemset mining be efficiently and effectively used for learning from graph data? Thashmee Karunaratne and Henrik Boström Bias Selection Using Task-Targeted Random Subspaces for Robust Application of Graph-Based SemiSupervised Learning Christopher Symons, Ranga Vatsavai, Goo Jun, and Itamar Arel THE 11th IEEE INTERNATIONAL CONFERENCE ON MACHINE LEARNING APPLICATIONS (ICMLA 2012) Day 4: Saturday, December 15, 2012 Parallel Track 2 Conference Registration (7:00 AM to 3:00 PM) Light Breakfast (7:00 AM to 8:00 AM) KEYNOTE SPEAKER (8:30 AM to 9:30 AM) Coffee Break (9:30 AM to 10:00 AM) Workshop C-2: Machine Learning and Applications in Health Informatics Chair: Naeem Seliya (10:00 AM to 12:00 PM) Establishment of a Diagnostic Decision Support System in Genetic Dysmorphology Kaya Kuru, Mahesan Niranjan, and Yusuf Tunca A New Fixed-Overlap Partitioning Algorithm for Determining Stability of Bioinformatics Gene Rankers Randall Wald, Taghi Khoshgoftaar, and David Dittman Novel Margin Features for Mammographic Mass Classification Ali Bagheri-Khaligh and Mohammad Manzuri-Shalmani Predicting Patient Outcomes from a Few Hours of High Resolution Vital Signs Data Tim Oates, Colin Mackenzie, Lynn Stansbury, Bizhan Aarabi, Deborah Stein, and Peter Hu The Effect of Number of Iterations on Ensemble Gene Selection Wael Awada, Taghi Khoshgoftaar, David Dittman, and Randall Wald Distributed Privacy Preserving Decision System for Predicting Hospitalization Risk in Hospitals with Insufficient Data George Mathew and Zoran Obradović Lunch (Provided by the Conference) (12:00 PM to 1:00 PM) Special Session VIII: Machine Learning Ensemble Methods and Applications Chair: Wenjia Wang (1:00 PM to 3:00 PM) Decision Level Fusion of Wavelet Features for Ocean Turbine State Detection Janell Duhaney and Taghi M. Khoshgoftaar Finding Survival Groups in SEER Lung Cancer Data Iryna Skrypnyk A Novel Noise-Resistant Boosting Algorithm for Class-Skewed Data Jason Van Hulse, Taghi M. Khoshgoftaar, and Amri Napolitano Exploiting Representational Diversity for Time Series Classification Tim Oates, Colin F. Mackenzie, Deborah M. Stein, Lynn G. Stansbury, Joseph DuBose, Bizhan Aarabi, and Peter F. Hu Jensen-Shannon Divergence in Ensembles of Concurrently-Trained Neural Networks Aaron Mishtal and Itamar Arel O-linked Glycosylation Site Prediction Using Ensemble of Graphical Models Aditya Sriram and Feng Luo A Hybrid Method for Estimating the Predominant Number of Clusters in a Data Set Jamil Al Shaqsi and Wenjia Wang THE 11th IEEE INTERNATIONAL CONFERENCE ON MACHINE LEARNING APPLICATIONS (ICMLA 2012) Day 4: Saturday, December 15, 2012 Parallel Track 3 Conference Registration (7:00 AM to 3:00 PM) Light Breakfast (7:00 AM to 8:00 AM) KEYNOTE SPEAKER (8:30 AM to 9:30 AM) Coffee Break (9:30 AM to 10:00 AM) Special Session IX: ICMLA 2012 Avatar Face Recognition Challenge Chair: (10:00 AM to 12:00 PM) Face Recognition Challenge: Object Recognition Approaches for Human/Avatar Classification Toshihiko Yamasaki and Tsuhan Chen Convolutional Networks Applied to the ICMLA 2012 Face Recognition Challenge Brian Cheung Learning Visual Features for the Avatar Captcha Recognition Challenge Mohammed Korayem, Abdallah A. Mohamed, David Crandall, and Roman V. Yampolskiy ICMLA 2012 Face Recognition Challenge Salem Alelyani and Ira A. Fulton ICMLA Face Recognition Challenge – Results of the Team Computational Intelligence Mittweida Thomas Villmann, Marika Kästner, David Nebel, and Martin Riedel Lunch (Provided by the Conference) (12:00 PM to 1:00 PM) Session 16: Multi-Strategy, Multi-Label, Multi-Objective learning Chair: (1:00 PM to 3:00 PM) Cost-Sensitive Multi-Strategy Active Annotation for Text Classification Shilpa Arora, Pinar Donmez, and Eric Nyberg Multi-label Classification using Adaptive Neighborhoods Tanwistha Saha, Huzefa Rangwala, and Carlotta Domeniconi Meta-Learning and Model Selection in Multiobjective Evolutionary Algorithms Martin Pilat and Roman Neruda