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ICMLA 2009
Conference Program
Miami Beach Resort and Spa, Miami Beach, Florida, 33140, USA
13-15 Dec. 2009
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Registration:
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Dec.
12 (5:00 pm – 8:00 pm), Dec. 13-15 (8:00 am – 5:00 pm)
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Date
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Time
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Dec. 13 Sunday
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8:20
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Opening Remarks
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8:30
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Invited Talk 1
Dr. Stephen Muggleton, Imperial College, UK
“Machine Learning Biological Network
Models”
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Regular paper
sessions (20 minutes each)
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9:30
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Session 1: Machine Learning in
Image Processing
Session Chair: Xiuwen
Liu
302-
Johannes Hartz “Learning Probabilistic Structure Graphs for Classification
and Detection of Object Structures”
290-
Yiming Wu, Xiuwen Liu, and Washington Mio “Linear Representation Learning
Using Sphere Factor Analysis”
170-
Sharif Bhuiyan, Jesmin Khan, Nii Attoh-Okine and Reza Adhami “Study of
Bidimensional Empirical Mode Decomposition Method for Various Radial Basis
Function Surface Interpolators”
242-
Jukka Perkiö, Tinne Tuytelaars and Wray Buntine “Exploring Scale-Induced
Feature Hierarchies in Natural Images”
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Session 2: Statistical learning I
Session Chair: Peter McCullagh
264-
Bert Huang and Tony Jebara “Exact Graph Structure Estimation with Degree
Priors”
312-
Lipi Acharya and Dongxiao Zhu “Estimating an Optimal Correlation Structure
from Replicated Molecular Profiling Data using Finite Mixture Models”
324-
Nacim Chikhi, Bernard Rothenburger and Nathalie Aussenac-Gilles “Community
Structure Identification: A Probabilistic Approach”
240-
Vladimir Vovk “Conditional prediction intervals for linear regression”
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11:10
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Coffee Break
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Regular paper
sessions (20 minutes each)
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11:30
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Session 1: Machine Learning in Multimedia
Session Chair: Leif Peterson
193-
Yangfeng Ji, Tong Lin, and Hongbin Zha “Mahalanobis Distance Based
Non-negative Sparse Representation for Face Recognition”
284-
Omar Arif and Patricio Vela “Robust Target Localization and Segmentation
using Graph Cut, KPCA and Mean-shift”
254-
Jonathan Purnell and Malik Magdon-Ismail “Learning American English Accents
Using Ensemble Learning with GMMs”
203-
Balaji Lakshminarayanan, Raviv Raich and Xiaoli Fern “A Syllable-Level
Probabilistic Framework for Bird Species Identification”
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Session 2: Supervised learning I
Session Chair: Philippe Preux
174-
Sriraam Natarajan, Prasad Tadepalli, Gautam Kunapuli and Jude Shavlik “Learning
Parameters for Relational Probabilistic Models with Noisy-Or Combining
Rule”
236-
Jeroen Janssens, Ildiko Flesch and Eric Postma “Outlier Detection with
One-Class Classifiers from ML and KDD”
252-
Ansaf Salleb-Aouissi, Bert Huang and Waltz Waltz “Discovering
Characterization Rules from Rankings”
216-
Manuel Loth, Philippe Preux, Samuel Delepoulle and Christophe Renaud “ECON:
a Kernel Basis Pursuit Algorithm with Automatic Feature Parameter Tuning,
and its Application to Photometric Solids Approximation”
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12:50
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Lunch Break
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2:00
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Tutorial:
Dr. Rezarta
Islamaj & Dr. Lana Yeganova, NIH
"Machine Learning Approaches for
Biomedical Text Retrieval in PubMed”
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Regular paper
sessions (20 minutes each)
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3:00
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Session 1: Features Extraction,
Selection and Neural Networks
Session Chair: Hichem Frigui
259-
Mani Malek Esmaeili, Mehrdad Fatourechi and Rabab Ward “Video Copy
Detection Using Temporally Informative Representative Images”
311-
Aleksey Fadeev, Oualid Missaoui and Hichem Frigui “Dominant Audio
Descriptors For Audio Classification and Retrieval”
276-
Clement Chatelain, Romain Herault, and Benjamin Labbe “Learning Deep Neural
Networks for High Dimensional Output Problems”
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Session 2: Supervised learning II
Session Chair: Luca Cazzanti
195-
Aydin Ulas and Olcay Yildiz “An Incremental Model Selection Algorithm Based
on Cross-Validation for Finding the Architecture of a Hidden Markov Model
on Hand Gesture Data Sets”
196-
Oualid Missaoui, Hichem Frigui and Paul Gader “Discriminative Multi-Stream
Discrete Hidden Markov Models”
166-
Luca Cazzanti and Maya Gupta “Regularizing the Local Similarity
Discriminant Analysis Classifier”
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4:20
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Coffee Break
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Regular paper
sessions (20 minutes each)
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4:40
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Session 1: Evolutionary algorithms
and genetic programming
Session Chair: Ryouei Takahashi
159-
Ryouei Takahashi “A Hybrid Method of Genetic Algorithms and Ant Colony
Optimization to Solve the Traveling Salesman Problem”
160-
Pietari Pulkkinen “A Multiobjective Genetic Fuzzy System for Obtaining
Compact and Accurate Fuzzy Classifiers with Transparent Fuzzy Partitions”
210-
Onay Urfalioglu and Orhan Arikan “Randomized and Rank based Differential
Evolution”
215-
Fatemeh Vafaee and Peter Nelson “A Genetic Algorithm That Incorporates an
Adaptive Mutation Based On an Evolutionary Model”
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Session 2: Supervised learning III
Session Chair:
Ingo Glöckner
176-
Lijun Zhang, Hichem Frigui and Paul Gader “Context-Dependent Fusion of
Multiple Algorithms with Minimum Classification Error Learning”
248-
Thashmee Karunaratne and Henrik Bostrom “Graph Propositionalization for
Random Forests”
266-
Sandeep Namilikonda and Nihar Mahapatra “An Instance-Based Learning
Approach for Available-Memory Non-Minimal Cost-Bounded Search”
209-
Ingo Glöckner “Finding Answer Passages with Rank Optimizing Decision Trees”
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6:00
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Poster Session I:
All Accepted Regular Papers with odd ID numbers
AND
The following Accepted Short Papers:
175-
Stephan Clemencon, Marine Depecker
and Nicolas Vayatis “Bagging Ranking Trees”
177-
Eren Esgin and Pinar Senkul “A Hybrid
Approach to Process Mining: Finding Immediate Successors of a Process by
Using From-To Chart”
183-
Ilhami Colak, Ramazan Bayindir, Hamdi
Tolga Kahraman and Mehmet Yesilbudak “Design of an Intelligent Decision
Making System for a Travelling Wave Ultrasonic Motor”
185-
Jiri Isa, Zuzana Reitermanova and Ondrej Sykora “On the Complexity of
General Solution DAGs”
189-
Yuheng He “Learning Geographic Regions using Location Based Services in
Next Generation Networks”
197-
Feras Al-Obeidat, Nabil Belacel, Prabhat Mahanti and Juan Carretero
“Discretization Techniques and Genetic Algorithm for Learning the
Classification Method PROAFTN”
237-
Nistor Grozavu and Younès Bennani “A new competitive strategy for Self Organizing
Map Learning”
243-
Amany Abdelhalim and Issa Traore “A New Method for Learning Decision Trees
from Rules”
245-
William Lyles, Winard Britt and David Bevly “Evolution of Parameters for an
Autonomous Canine Control Algorithm”
257-
Yan Tang, Kunwu Feng, Kendra Cooper and João Cangussu “Requirement
Engineering Techniques Selection and Modeling – An Expert System Based
Approach”
307-
Jeffrey Ellen and Kevin Dela Rosa “Text classification methodologies
applied to micro-text in military chat”
275-
Yilmaz Yoru, Arif Hepbasli, Tahir Karakoc, "Application of
Artificial Neural Network (ANN) method to exergy analysis of thermodynamic
systems"
297-
Axinia Radeva, Cynthia Rudin, Rebecca Passonneau, Delfina Isaac,
"Report Cards for Manholes: Eliciting Expert Feedback for a Learning
Task"
305-
Bert Huang, Ansaf Salleb-Aouissi, Philip Gross, "Alive on Back-feed
Culprit Identification via Machine Learning"
225-
Meir Perez, David Rubin, Tshilidzi Marwala, Lesley Scott, Wendy Stevens,
Jonathan Featherston, "A Population-Based Incremental Learning
Approach to Microarray Gene Expression Feature Selection"
327-
Guy Lima, Jr., Stephen Krawetz, Gautam Singh, "Identifying Core DNA
Patterns that Potentiate Regions of Locus Control"
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Date
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Time
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Dec. 14 Monday
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8:30
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Invited Talk
Dr. Robert Schapire, Princeton University, USA
“Theory and applications of a repeated
game playing algorithm”
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Regular paper
sessions (20 minutes each)
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9:30
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Session 1: Feature selection and
Clustering
Session Chair: M. Arif Wani
238-
Bing Yin and Greg Hamerly “Hierarchical Stability-Based Model Selection For
Clustering Algorithms”
250-
Sambu Seo, Johannes Mohr and Klaus Obermayer “A New Incremental Pairwise
Clustering Algorithm”
301- Darío García-García, Emilio Parrado-Hernández
and Fernando Diaz-de-Maria “Sequence Segmentation via Clustering of
Subsequences”
287-
Taghi Khoshgoftaar and Kehan Gao “Feature Selection with Imbalanced Data
for Software Defect Prediction”
294-
Taghi Khoshgoftaar, Wilker Altidor and Amri Napolitano “Wrapper-based
Feature Ranking for Software Engineering Metrics”
161-
Sherif Abdelazeem “A
Novel Domain-Specific Feature Extraction Scheme For Arabic Handwritten
Digits Recognition”
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Session 2: Reinforcement learning
Session Chair: Masoumeh Izadi
156-
Tim Kietzmann and Martin Riedmiller “The Neuro Slot Car Racer:
Reinforcement Learning in a Real World Setting”
315-
Masoumeh Izadi, Stephane Ross and Mark Mercer “Sensitivity Analysis of
POMDP Value Functions”
219-
Mark Kroon and Shimon Whiteson “Automatic Feature Selection for Model-Based
Reinforcement Learning in Factored MDPs”
181-
Alejandro Agostini and Enric Celaya “Exploiting Domain Symmetries in Reinforcement
Learning with Continuous State and Action Spaces”
241-
Marek Grzes and Daniel Kudenko “Theoretical and Empirical Analysis of
Reward Shaping in Reinforcement Learning”
263-
Scott Proper and Prasad Tadepalli “Multiagent Transfer Learning via
Assignment-based Decomposition”
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10.30
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Coffee Break
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12:00
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Lunch Break
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1:10
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Session 1: Text mining
Session Chair: Greg Hamerly
253-
Jian Zhang and Shobhit Shakya “Knowledge Transfer for Feature Generation in
Document Classification”
233-
Cristina Giannone, Danilo Croce and Roberto Basili “Semantic Word Spaces
for Robust Role Labeling”
214-
Keita Imada and Katsuhiko Nakamura “Learning Context Free Grammars by Using
SAT Solvers”
223-
Chris Ding, Tao Li and Dingding Wang “Label Propagation on K-partite
Graphs"
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Session 2: Applications I
Session Chair: Sangoh Jeong
164-
Sangoh Jeong, Swaroop Kalasapur, Doreen Cheng, Henry Song and Hyuk Cho “Clustering
and Naive Bayesian approaches for situation-aware recommendation on mobile
devices”
260-
Philip Gross, Ansaf Salleb-Aouissi, Haimonti Dutta and Albert Boulanger
“Ranking Electrical Feeders of the New York Power Grid”
207-
Sildomar Monteiro, Fabio Ramos and Peter Hatherly “Conditional Random
Fields for Rock Characterization using Drill Measurements”
239-
Guénaël Cabanes, Younès Bennani and Frédéric Dufau-Joël “Mining Customers'
Spatio-temporal Behavior Data using Topographic Unsupervised Learning”
229-
Haoming Xu “Estimating the Odometry Error of a Mobile Robot by Neural
Networks”
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3.00
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Invited Talk
Dr. Michael Kearns, University of Pennsylvania, USA
“Censored Exploration in Dark Pools”
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4:00
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Coffee Break
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Regular paper
sessions (20 minutes each)
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4:20
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Session 1: Support vector machines
Session Chair: Ilya Muchnik
199-
Pannagadatta Shivaswamy and Tony Jebara “Structured Prediction with
Relative Margin”
200-
Alexey Nefedov, Ye Jiankuan, Casimir Kulikowski and Ilya Muchnik
“Comparative Analysis of Support Vector Machines Based on Linear and
Quadratic Optimization Criteria”
244-
Khaled Boukharouba “Incremental and Decremental Multi-category
Classification by Support Vector Machines”
269-
Andrew Howard and Tony Jebara “Transformation Learning Via Kernel
Alignment”
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Session 2:
Applications II
Session Chair: Aikaterini Mitrokotsa
218-
Combaz Adrien “Feature Extraction and Classification of EEG Signals for
Rapid P300 Mind Spelling”
221-
Kristof Van Laerhoven and Eugen Berlin “Enabling Efficient Time Series
Analysis for Wearable Activity Data”
317-
Guopeng Zhao, Zhiqi Shen, Chunyan Miao and Chunru Wan “ELM-based
Intelligent Resource Selection for Grid Scheduling”
217-
Yasin Yilmaz and Suleyman Kozat “An extended version of the NLMF algorithm
based on proportionate Krylov Subspace projections”
192-
Christos Dimitrakakis and Aikaterini Mitrokotsa “Statistical Decision
Making for Authentication and Intrusion Detection”
172-
Pretesh Patel and Tshilidzi Marwala “Genetic Algorithms, Neural Networks,
Fuzzy Inference System, Support Vector Machines for Call performance
classification”
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6:00
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Poster Session II:
All Accepted Regular Papers with even ID numbers
AND
The following Accepted Short Papers:
182-
Wei Fan and Toyohide Watanabe “Mining
Interesting Ratio Patterns over a Stream Sliding Window”
184-
Iyad Batal and Milos Hauskrecht “A
Supervised Time Series Feature Extraction Technique using DCT and DWT”
190-
Gursel Serpen and Santhosh Pathical “Classification
in High-Dimensional Feature Spaces: Random Subsample Ensembles”
198-
Ricardo Sousa, Beatriz Mora and Jaime Cardoso “An Ordinal Data Method for
the Classification with Reject Option”
206-
Tanzer Satir, Yalçın Durmuşoglu, Cengiz Deniz and Alper Kilic “A
Novel Energy Saving and Power Production System”
208-
Sirvan Khalighi “A Novel OCR System for Calculating Handwritten Persian
Arithmetic Expressions”
220-
Philippe Lenca, Yannick Le Bras, Sorin Moga and Stéphane Lallich “On the
generalization of the all-confidence property”
226-
Emna Bahri and Stéphane Lallich “Improving prediction by weighting class
association rules”
234-
Sampath Deegalla and Henrik Bostrom “Improving Fusion of Dimensionality
Reduction Methods for Nearest Neighbor Classification”
246-
Po-Hsiang Chiu and Manfred Huber ”Clustering Similar Actions in Sequential
Decision Processes”
262-
Vipul Agrawal, Chiranjib Bhattacharyya, Niranjan Thirumale and Sai Susarla
“Discovering Rules from Disk Events for Predicting Hard Drive Failures”
288- César Souza, Ednaldo Pizzolato, Renata Mendes, Audrey
Borgui-Silva, Maurício Machado, Paulo Correa,“Artificial Neural Networks
Prognostic Evaluation of Post-Surgery Complications in Patients
Underwent To Coronary Artery Bypass Graft Surgery”
298-
Ramazan Bayindir, Ilhami Colak, Ersan Kabalci and Erdal Irmak “The Fuzzy
Logic Control of a Multilevel Converter in a Variable Speed Wind Turbine”
300-
Fawad Jamshed and Christian Huyck “Grounding Symbols: Labelling and
Resolving Pronoun Resolution with fLIF Neurons”
320-
Arunkumar Balakrishnan “Development of an ontology of learning strategies
and its application to generate open learner models”
334-
Vida Abedi, Mohammed Yeasin, "Understanding and eliminating systemic
bias in knowledge discovery from biological literature using latent
semantic analysis model"
173-
R. Mahesh Sinha “Learning
Disambiguation of Hindi Morpheme 'vaalaa' with a Sparse Corpus”
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7.30
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Banquet
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Date
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Time
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Special Sessions
papers
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Dec. 15, Tuesday
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8:30
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Special Session: Machine Learning
Methods for Modeling Treatment Outcomes in Cancer and Radiation Therapy I
Session Chair: Issam El Naqa, Steve Jiang
268- Florian Buettner, Sarah Gulliford, Steve
Webb, Mike Partridge,"Using Bayesian logistic regression with
high-order interactions to model radiation-induced toxicities following
radiotherapy"
285- Hao Zhang, Warren D'Souza, Leyuan Shi, Robert
Meyer,"Machine Learning for Modeling Dose-Related Organ-at-Risk
Complications after Radiation Therapy"
286- Warren D'Souza, Kathleen Malinowski, Hao
Zhang,"Machine Learning for Intra-Fraction Tumor Motion Modeling with
Respiratory Surrogates"
291- Ruijiang Li, John Lewis, Steve Jiang,
"Markerless Fluoroscopic Gating for Lung Cancer Radiotherapy using
Generalized Linear Discriminant Analysis"
293- Xun Jia, Yifei Lou, Ruijiang Li, Xuejun Gu,
John Lewis, Steve Jiang, "A dynamic CT image reconstruction method by
inducing prior information from PCA analysis"
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Special Session: Machine
Learning Applications in Bioinformatics and Computational Biology I
Session Chair: Sorin Draghici
261- Yi Zhang, Erliang Zeng, Tao Li,
"Weighted Consensus Clustering for Identifying Functional Modules In
Protein-Protein Interaction Network"
309- Rukshan Manohara, Vasile Palade, "AGm: A
new performance measure for class imbalance learning. Application to
Bioinformatics problems"
335- Raúl Santos-Rodríguez, Darío García-García,
Jesús Cid-Sueiro, "Cost-sensitive classification based on Bregman
divergences for medical diagnosis"
337- Helyane Bronoski Borges, Julio Cesar Nievola,
"Dimensionality Reduction in Gene Expression Database through the
Random Projection Method"
329- Stephan Simmuteit, Frank-Michael Schleif,
Thomas Villmann, Thomas Elssner, "Tanimoto metric in Tree-SOM for
improved representation of mass spectrometry data with an underlying
taxonomic structure"
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10:10
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Coffee
Break
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Special Sessions
papers
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10:40
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Special Session: Machine Learning
Methods for Modeling Treatment Outcomes in Cancer and Radiation Therap II
Session Chair: Issam El Naqa,
Steve Jiang
318- Jung Hun Oh, Issam El Naqa, Rawan
Al-Lozi,"Application of Machine Learning Techniques for Prediction of
Radiation Pneumonitis in Lung Cancer Patients"
319- Jung Hun Oh, Issam El Naqa, "Bayesian
network learning for detecting reliable interactions of dose-volume related
parameters in radiation pneumonitis"
323- Joerg Rottmann, Ross Berbeco, Michalis
Aristophanous, Sang-June Park,"Multi-region tracking for lung tumor
motion assessment"
331- Andre Dekker, Kartik Komati, Glenn Fung,
Shipeng Yu, Cary Dehing-Oberije, Dirk De Ruysscher, Yolande Lievens, Andrew
Hope, Wilfried DeNeve, Philippe Lambin, "Survival Prediction in Lung
Cancer Treated with Radiotherapy - Bayesian Networks vs. Support Vector
Machines in Handling Missing Data"
336- Todd Schiller, Yixin Chen, Issam El Naqa,
Joseph Deasy,"Improving Clinical Relevance in Ensemble Support Vector
Machine Models of Radiation Pneumonitis Risk"
341-
Weerayuth Chanapai, "Adaptive Thresholding based on SOM Technique for
Semi-Automatic NPC Image Segmentation”
352- Leif Peterson, “Maximum
Likelihood Logistic
Regression Using
Metaheuristics”
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Special Session: Machine Learning With Multimedia
Data
Session Chair: Jens
Grivolla
277- Roberto Paredes, Adrian Ulges,
Thomas Breuel Fast, "Discriminative Linear Models for Scalable Video
Tagging"
326- Maria-cristina Marinescu, Rafael
Ramirez
A timing-based classification method
for human voice in opera recordings"
332- Daniel Gärtner, Christian Dittmar
Vocal, "Characteristics
classification of audio segments: An investigation of the influence of
accompaniment music on low-level features"
338- Adrian Weller, Daniel Ellis,
Tony Jebara, " Structured Prediction Models for Chord Transcription of
Music Audio"
340- Chengcui Zhang, Liping Zhou, Wen
Wan, Wei-Bang Chen, Jeffrey Birch, "
An Image Clustering and Retrieval
Framework Using Feedback-based Integrated Region Matching"
342-
Ching-Wei Chen, Kyogu Lee, Ho-Hsiang
Wu, "Towards a Class-Based Representation of Perceptual Tempo for
Music Retrieval"
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12:40
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Lunch
Break
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Special Sessions papers
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2:00
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ICMLA Challenge:
Machine Learning in
Functional Clustering
Session Chair: Aik-Choon Tan
343- Dario Garcia-Garcia, Raul Santos-Rodriguez,
"Spectral Clustering and Feature Selection for Microarray Data"
346- Meir Perez, Jonathan Featherston, Tshilidzi
Marwala, Lesley E Scott, Wendy Stevens, David M Rubin, "Differentially
expressed gene identification based on separability index"
347- Ilia Nouretdinov, Brian Burford, Alex
Gammerman, "Application of Induction Confidence Machine to
ICMLA-competition data"
349- Aleksey Fadeev, Oualid Missaoui, Hichem
Frigui, "Ensemble Possibilistic K-NN for functional clustering of gene
expression profiles in human cancers challenge"
350- Rami N. Mahdi, Eric C. Rouchka, "Feature Selection in
Cancer Classification from mRNA Data Based on Localized Dimension
Reduction"
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Special Session: Machine Learning
in Energy Applications I
Session Chair: Ilhami
Colak
321-Ilhami Colak, Gungor Bal, Mehmet Demirtas,
Hamdi Tolga Kahraman, “A Parameter Determination System for Wind Turbines
Based On Naive Bayes Classification Algorithm”
167-Hasan Önder, “An Expert System to Estimate the
Capacity of Harvesting Energy from Biogas and Its Capacity in TRNC”
299- Bakhyt
Matkarimov, “Using Genetic Algorithm for Finding Switching Angles of a
Single-phase Multilevel DC/AC Converter on Solar Modules”
322- Seref Sagiroglo,Hamdi Tolga Kahraman, Ramazan
Bayindir, Orhan Kaplan, “Development of an Intelligent Decision Support
System for Determining the Efficiency of Shunt Active Power Filter”
325- Latifa Oukhellou, Raïssa Onanena, Faicel
Chamroukhi, Denis Candusso, Patrice Aknin, Daniel Hissel, “Supervised
learning of a regression model based on latent process. Application to
the estimation of fuel cell life time”
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3:40
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Coffee
Break
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Special Sessions
papers
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4:00
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Special Session: Machine
Learning in System Security
Session Chair:
Seref Sagiroglu
212- Tiago Almeida, Jurandy Almeida,
Akebo Yamakami, "Evaluation of Approaches for Dimensionality Reduction
Applied with Naive Bayes Anti-Spam Filters"
308- Melissa Danforth, "Towards a
Classifying Artificial Immune System for Web Server Attacks"
316- Miho Itoh, "Contextual
analysis processing able to interpret coherence of knowledge
representations related to reputation"
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Special Session: Machine Learning
in Energy Applications II
Session Chair:
Ilhami
Colak
328- Fujio Kurokawa, Hidenori Maruta, Tomoyuki
Mizoguchi, “A New Digital Control DC-DC Converter with Method of Machine
Learning Predictor“
333- Silviu Ionita, “Multi Agent Holonic Based Architecture for
Intelligent Power Management in Residential Areas”
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5:00
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Award
Presentation (best papers, best posters, ICMLA competition award etc.)
Closing Remarks
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