Provisional Programme
Detailed program
Provisional Programme for IDEAL 2010-06-30
Tuesday 31st August 18:00-20:00
Welcome reception in Paisley Abbey
Wednesday 1st September
9:00-9:15 Welcome addresses
9:30-10:30 Plenary
10:30 Tea/Coffee
11:00-1:00 Genetic Algorithms and reinforcement learning
11:00-1:00 Biological information processing
1:00-2:30 Lunch
2:30-3:30 Plenary
3:30 Tea/Coffee
4:00-6:00 Clustering and Classification
4:00-6:00 Artificial neural networks
Thursday 2nd September
9:00-10:00 Plenary
10:00 Tea/Coffee
10:30-12:30 Time series and Fourier-related papers
10:30-12:30 Performance issues
12:30-2:00 Lunch
2:00-3:00 Plenary
3:00 Tea/Coffee
3:30-5:30 Probabilistic models and text mining
3:30-5:30 Agent simulations
8:00 Conference dinner at Watermill Hotel
Friday 3rd September
9:00-10:00 Plenary
10:00 Tea/Coffee
10:30-12:30 Kernels and Data Mining
12:30-1:30 Plenary
1:30 Lunch
Detailed program [BackToTop]
Wednesday 1st September
11:00-1:00 Genetic algorithms and Reinforcement Learning
Cost Optimization of a Localized Irrigation System Using Genetic Algorithms
Monica S. Pais, Julio C. Ferreira, Marconi B. Teixeira, Keiji Yamanaka, Gilberto A. Carrijo
An evolutionary multi-objective optimization of market structures using PBIL
Andreas Krause, Xinyang Li
Surrogate model for Continuous and Discrete Genetic Optimization Based on RBF Networks
Lukas Bajer, Martin Holena
A Hybrid Evolutionary Algorithm to Quadratic Three-Dimensional Assignment Problem with Local Search for Many-Core Graphics Processors
Piotr Lipinski
Evolution Strategies for Objective Functions with Locally Correlated Variables
Piotr Lipinski
The Penalty Avoiding Rational Policy Making algorithm in Continuous Action Spaces
Kazuteru Miyazaki
11:00-1:00 Biological information processing
Gallbladder Boundary Segmentation from Ultrasound Images Using Active Contour Model
Marcin Ciecholewski
Annotation and Retrieval of Cell Images
Maria F. O'Connor, Arthur Hughes, Chaoxin Zheng, Anthony Davies, Dermot Kelleher, Khurshid Ahmad
Neural Data Analysis and Reduction Using Improved Framework of Information-Preserving EMD
Zareen Mehboob, Hujun Yin
4:00-6:00 Clustering and Classification
Applying Clustering Techniques to Reduce Complexity in Automated Planning Domains
Luke Dicken, John Levine
Relevance of contextual information in compression-based text clustering
Ana Granados, Rafael Martinez, David Camacho, Francisco de Borja Rodriguez
A Neighborhood-Based Clustering by Means of the Triangle Inequality
Marzena Kryszkiewicz, Piotr Lasek
An Efficient Approach to Clustering Real-Estate Listings
Maciej Grzenda, Deepak Thukral
Classification by Multiple Reducts-kNN with Confidence
Naohiro Ishii, Yuichi Morioka, Hiroaki Kimura, Yongguang Bao
A Randomized Sphere Cover Classifier
Reda Younsi, Tony Bagnall
4:00-6:00 Artificial neural networks
Dimension Reduction for Regression with Bottleneck Neural Networks
Elina Parviainen
Investigating the behaviour of Radial Basis Function Networks in Regression and Classification of Geospatial Data
Andrea Guidali, Elisabetta Binaghi, Mauro Guglielmin, Marco Pascale
Simple Deterministically Constructed Recurrent Neural Networks
Ali Rodan, Peter Tino
Clustering and visualizing SOM results
Jose Alfredo Costa
Improving the Performance of the Truncated Fourier System Least Squares Power System Load Model using an Artificial Neural Network Paradigm
Gary Lebby, Ali Osareh, Shonique Miller, Hari Thakur
Thursday 2nd September
10:30-12:30 Time series and Fourier-related papers
Histogram Distance for Similarity Search in Large Time Series Database
Yicun Ouyang, Feng Zhang
Analysing Satellite Image Time Series by means of Pattern Mining
Francois Petitjean, Pierre Gancarski, Florent Masseglia, Germain
Trajectory based Behavior Analysis for User Verification
Hsing-Kuo Pao, Hong-Yi Lin, Kuan-Ta Chen, Junaidillah Fadlil
A privacy preserving technique for Euclidean distance based mining algorithms using a Wavelet-related transform
Mohammadali Kadampur, Somayajulu D V L N
Extracting features from an electrical signal of a non-intrusive load monitoring system
Marisa B. Figueiredo, Ana de Almeida, Bernardete Ribeiro, Antonio Martins
Directed figure codes with weak equality
Wlodzimierz Moczurad
10:30-12:30 Performance issues
Incremental update of cyclic association rules
Eya BEN AHMED
Non-Negative Matrix Factorization Implementation Using Graphic Processing Units
Noel Lopes, Bernardete Ribeiro
Large scale instance selection by means of a parallel algorithm
Nicolas Garcia-Pedrajas, Aida Dea Haro-Garcia, Juan Antonio Romero del Castillo
Simplified Self-Adapting Skip Lists
Jonathan Pittard, Alan Tharp
Interval Filter: a locality-aware alternative to Bloom filters for hardware membership queries by interval classification
Ricardo Quislant, Eladio Gutierrez, Oscar Plata, Emilio Zapata
3:30-5:30 Probabilistic models and text mining
Typed Linear Chain Conditional Random Fields And Their Application To Intrusion Detection
Carsten Elfers, Mirko Horstmann, Karsten Sohr, Otthein Herzog
A Generalization of Independence in Naive Bayes Model
Yu Fujimoto, Noboru Murata
Approximating the Covariance Matrix of GMMs with Low-rank Perturbations
Jonathan Purnell, Malik Magdon-Ismail
Learning Negotiation Policies Using IB3 and Bayesian Networks
Gislaine Maria Nalepa, Edson Scalabrin, Braulio C. Avila, Fabricio Enembreck
Sentence Generation by Frequent Parsing Patterns
Takashi Yanagisawa, Takao Miura, Isamu Shioya
Discovering Concept Mappings by Similarity Propagation among Substructures
Qi Hua Pan, Fedja Hadzic, Tharam Dillon
3:30-5:30 Agent simulations
Multi-Agent Architecture with support to quality of Service and Quality of Control
Jose-luis Poza-Lujan, Juan-Luis Posadas-Yague , Jose Simo-Ten
Adaptive Particle Swarm Optimizer for Feature selection
Amir Esseghir
Selection of structures with grid optimization, in multiagent data warehouse
Marcin Gorawski, Slawomir Bankowski , Michal Gorawski
Friday 3rd September
10:30-12:30 Kernels and Data Mining
Generalized derivative based kernelized Learning Vector Quantization
Frank-Michael Schleif, Thomas Villmann , Barbara Hammer
On the Power of Topological Kernel in Microarray-Based Detection of Cancer
Vilen Jumutc, Pawel Zayakin
Robust 1-Norm Soft Margin Smooth Support Vector Machine
Li-Jen Chien, Yuh-Jye Lee , Zhi-Peng Kao , Chih-Cheng Chang
Towards Automatic Classification of Wikipedia Content
Julian Szymanski
New Application of Graph Mining to Video Analysis
Hisashi Koga, Tomokazu Tsuji, Takanori Yokoyama , Toshinori
The M-OLAP Cube Selection Problem: A Hyper-Polymorphic Algorithm Approach
Orlando Belo, Jorge Loureiro
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