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ORCIDICMLA 2011: Honolulu, Hawaii, USA
- Xue-wen Chen, Tharam S. Dillon, Hisao Ishibuchi, Jian Pei, Haixun Wang, M. Arif Wani:
10th International Conference on Machine Learning and Applications and Workshops, ICMLA 2011, Honolulu, Hawaii, USA, December 18-21, 2011. Volume 2: Special Sessions and Workshop. IEEE Computer Society 2011
Special Session: Machine Learning for Human Behavior Understanding and Assisted Living
- Mathieu Sinn, Pascal Poupart:
Error Bounds for Online Predictions of Linear-Chain Conditional Random Fields: Application to Activity Recognition for Users of Rolling Walkers. 1-6 - Mi Zhang, Alexander A. Sawchuk:
Manifold Learning and Recognition of Human Activity Using Body-Area Sensors. 7-13
Special Session: Learning in Evolving Environments and Its Application on Real-World Problems
- Jonathan de Andrade Silva, Eduardo R. Hruschka
:
Extending k-Means-Based Algorithms for Evolving Data Streams with Variable Number of Clusters. 14-19 - Edwin Lughofer:
Dynamic Evolving Cluster Models Using On-line Split-and-Merge Operations. 20-26 - Eriko Azuma, Tomohiro Shimada, Keiki Takadama, Hiroyuki Sato, Kiyohiko Hattori:
The Biased Multi-objective Optimization Using the Reference Point: Toward the Industrial Logistics Network. 27-30 - Ondrej Kazík, Roman Neruda:
Role Model of Search in Agents' Parameter-Space. 31-34 - Tomoyasu Takata, Seiichi Ozawa:
A Neural Network Model for Learning Data Stream with Multiple Class Labels. 35-40 - Moamar Sayed-Mouchaweh, Janan Zaytoon, Patrice Billaudel:
Adaptive Time Window Size to Track Concept Drift. 41-46 - Abdelhamid Bouchachia, Charlie Vanaret:
Incremental Learning Based on Growing Gaussian Mixture Models. 47-52
Special Session: Machine Learning for Biomedical Literature Analysis and Text Retrieval
- Rohit J. Kate:
Unsupervised Grammar Induction of Clinical Report Sublanguage. 53-58 - K. E. Ravikumar, Haibin Liu, Judith D. Cohn, Michael E. Wall, Karin Verspoor:
Pattern Learning through Distant Supervision for Extraction of Protein-Residue Associations in the Biomedical Literature. 59-65 - Ehsan Emadzadeh, Siddhartha Jonnalagadda, Graciela Gonzalez:
Evaluating Distributional Semantic and Feature Selection for Extracting Relationships from Biological Text. 66-71 - Atsuko Yamaguchi, Yasunori Yamamoto, Jin-Dong Kim, Toshihisa Takagi, Akinori Yonezawa:
Discriminative Optimization of String Similarity and Its Application to Biomedical Abbreviation Clustering. 72-77 - Ryan Sullivan, Robert Leaman, Graciela Gonzalez:
The DIEGO Lab Graph Based Gene Normalization System. 78-83 - Janusz Wojtusiak, Katherine Irvin, Aybike Birerdinc, Ancha V. Baranova:
Using Published Medical Results and Non-homogenous Data in Rule Learning. 84-89 - Sun Kim, W. John Wilbur:
An EM Clustering Algorithm which Produces a Dual Representation. 90-95 - Lana Yeganova, Won Kim, Donald C. Comeau, W. John Wilbur:
Comparison of Two Methods for Finding Biomedical Categories in Medline. 96-99 - Simon Clematide, Fabio Rinaldi:
Ranking Interactions for a Curation Task. 100-105
Special Session: Machine Learning with Multimedia Data
- Ana Rebelo, Jakub Tkaczuk, Ricardo Gamelas Sousa, Jaime S. Cardoso:
Metric Learning for Music Symbol Recognition. 106-111 - Rafael Ferrer, Tuomas Eerola:
Looking Beyond Genres: Identifying Meaningful Semantic Layers from Tags in Online Music Collections. 112-117 - Jan Schlüter, Christian Osendorfer:
Music Similarity Estimation with the Mean-Covariance Restricted Boltzmann Machine. 118-123 - Ming-Ju Wu, Zhi-Sheng Chen, Jyh-Shing Roger Jang, Jia-Min Ren, Yi-Hsung Li, Chun-Hung Lu:
Combining Visual and Acoustic Features for Music Genre Classification. 124-129 - Kyogu Lee, Minsu Cho:
Mood Classfication from Musical Audio Using User Group-Dependent Models. 130-135 - Johan Pauwels, Jean-Pierre Martens, Marc Leman:
The Influence of Chord Duration Modeling on Chord and Local Key Extraction. 136-141 - Eric J. Humphrey, Aron P. Glennon, Juan Pablo Bello:
Non-Linear Semantic Embedding for Organizing Large Instrument Sample Libraries. 142-147
Special Session: Machine Learning in Medicine
- Matthew Wiley, Razvan C. Bunescu, Cindy Marling, Jay Shubrook, Frank Schwartz:
Automatic Detection of Excessive Glycemic Variability for Diabetes Management. 148-154 - Dmitry Zinovev, Jacob Furst, Daniela Stan Raicu:
Building an Ensemble of Probabilistic Classifiers for Lung Nodule Interpretation. 155-161 - Janusz Wojtusiak, Che Ngufor, John Shiver, Ronald Ewald:
Rule-Based Prediction of Medical Claims' Payments: A Method and Initial Application to Medicaid Data. 162-167 - Rodrigo A. Vivanco, Dan Roberts:
Predicting Patients Likely to Overstay in Hospitals. 168-171 - Patricia Ordóñez, Tom Armstrong, Tim Oates, Jim Fackler:
Classification of Patients Using Novel Multivariate Time Series Representations of Physiological Data. 172-179
Special Session: Machine Learning in Bioinformatics and Computational Biology
- Charith Chitraranjan, Loai Al Nimer, Omar Al Azzam, Saeed Salem, Anne M. Denton, Muhammad J. Iqbal, Shahryar F. Kianian:
Frequent Substring-Based Sequence Classification with an Ensemble of Support Vector Machines Trained Using Reduced Amino Acid Alphabets. 180-185 - Brian T. Schrom, Lars J. Kangas, Bojana Ginovska-Pangovska, Thomas O. Metz, John H. Miller:
Charge Prediction of Lipid Fragments in Mass Spectrometry. 186-188 - Krishnaveni Palaniappan, Sumitra Mukherjee:
Predicting "Essential" Genes across Microbial Genomes: A Machine Learning Approach. 189-194 - Balemir Uragun, Ramesh Rajan:
Developing an Appropriate Data Normalization Method. 195-199 - Nuttachat Wisittipanit, Huzefa Rangwala, Patrick Gillevet:
Analysis of Microbiome Data across Inflammatory Bowel Disease Patients. 200-205
Special Session: Machine Learning Methods in Cancer Diagnosis and Treatment
- Ruijiang Li, Lei Xing:
A Kernel Method for Real-Time Respiratory Tumor Motion Estimation Using External Surrogates. 206-209 - Ruijiang Li, Benjamin Fahimian, Lei Xing:
3D Bayesian Tracking with a Single Imager for Real-Time Image Guidance in Prostate Radiation Therapy. 210-214 - Woong Cho, Jeong-Hoon Park, Won-Gyun Jung, Tae-Suk Suh, Kayla N. Kielar, Ed Mok, Ruijiang Li, Lei Xing:
Development of a Beam Source Modeling Technique for a Flattening Filter Free (FFF) Beam. 215-219 - Georgi I. Nalbantov, Andre Dekker, Dirk De Ruysscher, Philippe Lambin, Evgueni N. Smirnov:
The Combination of Clinical, Dose-Related and Imaging Features Helps Predict Radiation-Induced Normal-Tissue Toxicity in Lung-cancer Patients - An in-silico Trial Using Machine Learning Techniques. 220-224 - Christopher Howells, Quentin Diot, David Westerly, Moyed Miften:
Regional Normal Liver Tissue Density Changes in Patients Treated with Stereotactic Body Radiation Therapy for Liver Metastases. 225-227
Special Session: Learning on the Web
- Shangkun Deng, Takashi Mitsubuchi, Kei Shioda, Tatsuro Shimada, Akito Sakurai:
Multiple Kernel Learning on Time Series Data and Social Networks for Stock Price Prediction. 228-234 - Na Ni, Kai Liu, Yaodong Li:
An Automatic Multi-domain Thesauri Construction Method Based on LDA. 235-240 - Kelly Reynolds, April Kontostathis, Lynne Edwards:
Using Machine Learning to Detect Cyberbullying. 241-244 - Meng-Lun Wu, Chia-Hui Chang, Rui-Zhe Liu:
Collaborative Filtering with CCAM. 245-250 - Claudio Saccà, Michelangelo Diligenti, Marco Gori, Marco Maggini:
Learning to Tag from Logic Constraints in Hyperlinked Environments. 251-256 - Antonino Freno, Tiziano Papini, Michelangelo Diligenti:
Learning to Rank Using Markov Random Fields. 257-262 - Vasile Palade, Soumya Banerjee:
Web Ad-Slot Offline Scheduling Using an Ant Colony Algorithm. 263-268 - Shu Huang, Dongwon Lee:
Exploring Structural Features in Predicting Social Network Evolution. 269-274
Special Session: Machine Learning in Energy Application
- Haoyang Shen, Hideitsu Hino, Noboru Murata, Shinji Wakao:
Extraction of Basic Patterns of Household Energy Consumption. 275-280 - Tahir Yavuz, Birol Kilkis, Hursit Akpinar, Özgür Erol:
Performance Analysis of a Hydrofoil with and without Leading Edge Slat. 281-285 - Haoyang Shen, Hideitsu Hino, Noboru Murata, Shinji Wakao:
A Measure of Credibility of Solar Power Prediction. 286-291 - Fujio Kurokawa, Kimitoshi Ueno, Hidenori Maruta, Hiroyuki Osuga:
A New Control Method for dc-dc Converter by Neural Network Predictor with Repetitive Training. 292-297 - Halil-Ibrahim Bulbul, Özkan Ünsal:
Comparison of Classification Techniques used in Machine Learning as Applied on Vocational Guidance Data. 298-301 - Piotr Kolodziejek:
Transient States of the Multiscalar Controlled Double Fed Induction Generator in the Wind Farm. 302-307 - Seref Sagiroglu, Hamdi Tolga Kahraman, Mehmet Yesilbudak, Ilhami Colak:
An Intelligent Decision Support Tool for a Travelling Wave Ultrasonic Motor Based on k-Nearest Neighbor Algorithm. 308-312 - Ramazan Bayindir, Murat Gök, Ersan Kabalci, Orhan Kaplan:
An Intelligent Power Factor Correction Approach Based on Linear Regression and Ridge Regression Methods. 313-315
Workshop: Machine Learning Algorithms, Systems and Applications
- Balemir Uragun:
Energy Efficiency for Unmanned Aerial Vehicles. 316-320 - Yuhui Cao, Weihong Wang, Zhiqiang He, Dianyuan Shi, Liang Li:
A Resource Entity Model Oriented Mobile Collaboration Environment. 321-324 - Ahmed Elmorshidy:
Benefits Analysis of Live Customer Support Chat in E-commerce Websites: Dimensions of a New Success Model for Live Customer Support Chat. 325-329 - Latifa Oukhellou, Etienne Côme, Patrice Aknin, Thierry Denoeux:
Semi-supervised Feature Extraction Using Independent Factor Analysis. 330-333 - Takeshi Yamamoto, Katsuhiro Honda, Akira Notsu, Hidetomo Ichihashi:
Robust FCMdd-based Linear Clustering for Relational Data with Alternative c-Means Criterion. 334-337 - Sai Buddi, Thomas Taylor, Chad Borges, Randall Nelson:
SVM Multi-classification of T2D/CVD Patients Using Biomarker Features. 338-341 - Takumi Shimomukai, Michifumi Yoshioka, Hidekazu Yanagimoto:
Estimation of PSF for a Shaking Blurred Image Using GA. 342-345 - Vladimir Ulyantsev, Fedor Tsarev:
Extended Finite-State Machine Induction Using SAT-Solver. 346-349 - Abdulrahman Alarifi, Issa Alkurtass, AbdulMalik S. Al-Salman:
Arabic Text-Dependent Speaker Verification for Mobile Devices Using Artificial Neural Networks. 350-353 - Arina Afanasyeva, Maxim Buzdalov:
Choosing Best Fitness Function with Reinforcement Learning. 354-357 - Yohei Okada, Shingo Ata, Nobuyuki Nakamura, Yoshihiro Nakahira, Ikuo Oka:
Comparisons of Machine Learning Algorithms for Application Identification of Encrypted Traffic. 358-361 - Foaad Khosmood, Robert Levinson:
Combining Corpus-Based Features for Selecting Best Natural Language Sentences. 362-365 - Ondrej Kazík, Klára Pesková, Martin Pilát, Roman Neruda:
Implementation of Parameter Space Search for Meta Learning in a Data-Mining Multi-agent System. 366-369 - Hongying Gu, Zhiwen Gao, Cheng Yang:
An Iris Recognition Approach based on Fuzzy Support Vector Machine. 370-373 - Mark A. Kon, Nikolay Nikolaev:
Empirical Normalization for Quadratic Discriminant Analysis and Classifying Cancer Subtypes. 374-379 - Amir Roshan Zamir, Alexander Darino, Mubarak Shah:
Street View Challenge: Identification of Commercial Entities in Street View Imagery. 380-383 - Cécilia Damon, Edouard Duchesnay, Marine Depecker:
Structured Multivariate Pattern Classification to Detect MRI Markers for an Early Diagnosis of Alzheimer's Disease. 384-387 - Ola Amayri, Nizar Bouguila:
Probabilistic clustering based on Langevin mixture. 388-391 - Evelyne Meier, Robbie Clarken, Greg Leblanc:
An N-Dimensional Neural Network tool for the real-time optimisation of accelerator parameters. 1-6
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