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Program for stream Intelligent Optimization in Machine Learning and Data Analysis
Sunday
Monday
Tuesday
Tuesday, 10:30-12:00
TB-16: Structure Learning and Applications
Stream: Intelligent Optimization in Machine Learning and Data Analysis
Room: Room 127
Chair(s):
Ivan Reyer
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Bayesian Sample Size Estimation for Patient Classification Survey
Anastasia Motrenko -
A Machine-Learning Paradigm that Includes Pointwise Constraints
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Structure Learning and Forecasting Model Generation
Vadim Strijov, Mikhail Kuznetsov, Anastasia Motrenko
Tuesday, 14:00-15:30
TD-16: Machine Learning Applications in Web Technology
Stream: Intelligent Optimization in Machine Learning and Data Analysis
Room: Room 127
Chair(s):
Takashi Onoda
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Composition of Web Services for Scaling Using Finite States Machines
Nadia Halfoune, Khaled Sellami -
Big Data - Classification and Optimization Algorithms
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Automated Radial Basis Function Neural Network Construction for Malicious URL Classification
Dirk Snyman, Tiny Du Toit, Hennie Kruger -
Semantic Requests in Web Services Search
Abdelmalek Boudries, Amad Mourad, Rabah Kassa
Tuesday, 16:00-17:30
TE-16: Model Selection Methods
Stream: Intelligent Optimization in Machine Learning and Data Analysis
Room: Room 127
Chair(s):
Ivan Reyer
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Multimodelling and Object Selection for Banking Credit Scoring
Alexander Aduenko, Vadim Strijov -
Comparison of Different Clustering Algorithms Based PCF Classifiers
Emre Çimen, Gurkan Ozturk -
Multicollinearity: Performance Analysis of Feature Selection Algorithms
Alexandr Katrutsa, Vadim Strijov -
Data Mining Application with Decision Tree Algorithms for the Evaluation of Personal Loan Customers’ Repayment Performances
Thursday
Thursday, 8:30-10:00
HA-16: Categorical Data Analysis and Preference Aggregation
Stream: Intelligent Optimization in Machine Learning and Data Analysis
Room: Room 127
Chair(s):
Michalis Doumpos
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Partial Orders Combining for the Object Ranking Problem
Mikhail Kuznetsov, Vadim Strijov -
An Interactive Approach for Multicriteria Selection Problem
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Data-Driven Robustness Analysis for MCDA Preference Disaggregation Approaches
Michalis Doumpos, Constantin Zopounidis -
Linking Voice of Industry (Recruiters) with B-Schools’ Service Operations using Q Sort Technique through Quality Function Deployment
Thursday, 10:30-12:00
HB-16: Topic Modeling and Information Retrieval with Applications
Stream: Intelligent Optimization in Machine Learning and Data Analysis
Room: Room 127
Chair(s):
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Finding Scientific Topics and Similarity Search
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Topic Profiles - Applications of Topic Models
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Thematic Classification for EURO/IFORS Conference Using Expert Model
Arsentii Kuzmin, Alexander Aduenko, Vadim Strijov -
Constrained Independent Semantic Analysis
Takashi Onoda
Thursday, 14:00-15:30
HD-16: Data Analysis and Transport Planning
Stream: Intelligent Optimization in Machine Learning and Data Analysis
Room: Room 127
Chair(s):
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Vehicle Maneuvers Detection Using Data from Accelerometer
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The Use of New Technologies to Estimate Dynamic Passenger Matrices: Proof of the Concept
Lídia Montero, Esteve Codina -
Advanced Traffic Monitoring System by Probe Vehicles under Privacy Preservation
Hiroyuki Kawano -
Using Fare-Card Data to make Commuter Cycling Policies in Singapore
Ashwani kumar, Viet Anh Nguyen, Kwong Meng Teo
Thursday, 16:00-17:30
HE-16: Combinatorial Methods for Data Analysis
Stream: Intelligent Optimization in Machine Learning and Data Analysis
Room: Room 127
Chair(s):
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Fast Logical Predictors for Genotype-Phenotype Mapping
Galina Iofina, Yury Maximov, Andrey Minaev, Yury Polyakov -
Laplacian Matrixes Based Graph's b-Coloring for Clustering
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A Density and Connectivity Based Decision Rule for Pattern Classification
Tulin Inkaya
Friday
Friday, 8:30-10:00
FA-16: Pattern Recognition
Stream: Intelligent Optimization in Machine Learning and Data Analysis
Room: Room 127
Chair(s):
Vadim Strijov, Ivan Reyer
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On Fingerprint Image Compression Method based on NMF
Congying Han, Tiande Guo -
Short-Term Forecasting of Musical Compositions Using Chord Sequences
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Parametric Shape Descriptor based on a Scalable Boundary-Skeleton Model
Ivan Reyer, Ksenia Aminova -
Customer Loyalty in Internet Service Provider Companies
Friday, 10:30-12:00
FB-16: Industrial Applications of Machine Learning
Stream: Intelligent Optimization in Machine Learning and Data Analysis
Room: Room 127
Chair(s):