Download IEEE International Conference on Machine Learning

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