453-115
|
Ant System for Solving Reactive Scheduling Problems in Value Added Chains
M. Heeren (Germany)
|
Abstract
|
|
453-175
|
Intelligent Workforce Allocation WITHIN an Agent-based Paradigm: Central and Distributed Decision Powers
B. Virginas, M. Ursu, G. Owusu, and C. Voudouris (UK)
|
Abstract
|
|
453-195
|
DHG: A System for Generating Macro-Operators from Static Domain Analysis
G. Armano, G. Cherchi, and E. Vargiu (Italy)
|
Abstract
|
|
453-198
|
A Case Study in Large-Scale Interactive Optimization
M. Chimani (Austria) and N. Lesh, M. Mitzenmacher, C. Sidner (USA), and H. Tanaka (Japan)
|
Abstract
|
|
453-210
|
Two Level Adaptive Evolutionary Computation
T. Dyduch and E. Dudek-Dyduch (Poland)
|
Abstract
|
|
453-306
|
Evaluation of a Neural Network Approach on FMS Cyclic Task Scheduling Problem
K.S. Low and M.-T. Kechadi (Ireland)
|
Abstract
|
|
453-309
|
Representing Temporal Constraints in PPDL
A. Milani, S. Suriani, and V. Poggioni (Italy)
|
Abstract
|
|
453-324
|
Effective SAT Planning by Lemma-Reusing
H. Nabeshima, H. Nozawa, and K. Iwanuma (Japan)
|
Abstract
|
|
453-812
|
Solving
University Timetabling Problems by Distributed Micro-Genetic Algorithm
with Local Search
R. Yusof, T.C. San, M. Khalid (Malaysia), and O.
Ono (Japan)
|
Abstract
|
|
453-038
|
A Fast Wrapper Method for Feature Subset Selection
G. Richards, K. Brazier, and W. Wang (UK)
|
Abstract
|
|
453-053
|
Time Series Forecasting using the Evolutionary Fuzzy System
A. Thammano and L. Attavirojanakul (Thailand)
|
Abstract
|
|
453-082
|
Mining Knowledge from Textual Databases: An Approach using Ontology-based Context Vectors
A. Gonçalves (Brazil, UK), V. Uren (UK), V. Kern, and R. Pacheco (Brazil)
|
Abstract
|
|
453-105
|
Automated Discovery of Hierarchical Ripple-Down Rules (HRDRs)
F.M. Ba-Alwi and K.K. Bharadwaj (India)
|
Abstract
|
|
453-117
|
Multi
Agent Visual Area Coverage Strategies using an Adaptive Queen Genetic
Algorithm
H. Stern, Y. Chassidim, M. Zofi, and M. Kaspi (Israel)
|
Abstract
|
|
453-119
|
A Method of Detecting Early Warning in Project Management using Classification Approach
W.S. Yeung, A.T. Khader (Malaysia), and J. Korczak
(France)
|
Abstract
|
|
453-144
|
Non-Relevance Feedback for Document Retrieval
H. Murata, T. Onoda, and S. Yamada (Japan)
|
Abstract
|
|
453-155
|
A Hyperbolic Topographic Mapping for Proximity Data
A. Saalbach, T. Twellmann, T.W. Nattkemper, A. Wismüller, J. Ontrup, and H. Ritter (Germany)
|
Abstract
|
|
453-164
|
Data Mining Methods in Hot Steel Rolling for Scale Defect Prediction
J.J. Haapamäki, S.M. Tamminen, and J.J. Röning (Finland)
|
Abstract
|
|
453-283
|
Density Biased Reservoir Sampling for Clustering
K. Kerdprasop, N. Kerdprasop (Thailand), and J. Sun (USA)
|
Abstract
|
|
453-294
|
An Efficient Method for Post Analysis of Patterns
R. Kuusik, I. Liiv, and G. Lind (Estonia)
|
Abstract
|
|
453-310
|
Revealing Topic-based Relationship Among Documents using Association Rule Mining
K. Sriphaew and T. Theeramunkong (Thailand)
|
Abstract
|
|
453-074
|
An Anticipatory
Self-Organized Map for Robust Recognition
S. Swarup, K. Lakkaraju, A. Klementiev, S.R. Ray
(USA), and E. Sassen (Germany)
|
Abstract
|
|
453-079
|
A Factored PF-SLAM for Robot Localization with a Partially-Incorrect Map
K. Tanaka and E. Kondo (Japan)
|
Abstract
|
|
453-118
|
Mediating the Knowledge of End-Users and Technologists: A Problem in the Deployment of Scheduling Technology
A. Cesta, G. Cortellessa, F. Pecora, and R. Rasconi (Italy)
|
Abstract
|
|
453-151
|
A Uniform Approach to Modelling Timed Protection
P. Balbiani (France)
|
Abstract
|
|
453-191
|
A Bayesian Approach to Predict Performance of a Student (BAPPS): A Case with Ethiopian Students
R. Bekele and W. Menzel (Germany)
|
Abstract
|
|
453-199
|
Information Fusion with Distributed Probabilistic Networks
P. de Oude, B. Ottens, and G. Pavlin (The Netherlands)
|
Abstract
|
|
453-217
|
Correlated Samples for Fast Exploration of Configuration Spaces
S. Carpin (Germany)
|
Abstract
|
|
453-286
|
Identification of Causal Effects in Multi-Agent Causal Models
S. Maes, S. Meganck, and B. Manderick (Belgium)
|
Abstract
|
|
453-307
|
A Framework to Design Fault-Tolerant Mechatronics Systems Under Uncertainty
L.E. Garza-Castañón, R. Morales-Menéndez, and F.J. Cantú Ortiz (Mexico)
|
Abstract
|
|
453-009
|
Identification of General Aggregation Operators by Lipschitz Approximation
G. Beliakov (Australia)
|
Abstract
|
|
453-017
|
Fuzzy C-Means Density based Clustering using Data Induced Metric
G. Beliakov and M. King (Australia)
|
Abstract
|
|
453-027
|
Neuro-Fuzzy Controller for Two-Group Pattern Classification Problems
M. Jain and M.P. Singh (India)
|
Abstract
|
|
453-098
|
Fuzzy Logic Application to Brackish Feedwater Pre-Treatment of Reverse Osmosis Desalation Plants
J. Plüss, A. Menéndez, E. Yaglián, A. Menéndez Fernández, F. Marcelo, J. Romero (Spain), J.L. Simón, A.Hernández
|
Abstract
|
|
453-114
|
Neuro-Fuzzy Modeling Applied to Coating Quality Control
P. Mariño, V. Pastoriza, M. Santamaría, and E. Martínez (Spain)
|
Abstract
|
|
453-270
|
A Robust Fuzzy Clustering Approach and Its Application to Principal Component Analysis
H.-L. Shieh, Y.-K. Yang, and C.-N. Lee (Taiwan)
|
Abstract
|
|
453-281
|
Fuzzy Classifier System for Classification Task
M. Sabeti and S.D. Katebi (Iran)
|
Abstract
|
|
453-284
|
A Fuzzy Logic Approach with Desirability Functions for Multi-Response Optimisation in the Taguchi Method
S.-J. Kim, D. Choi, and S.H. Choi (Korea)
|
Abstract
|
|
453-290
|
Analysis of Cross-Cultural Data using Hierarchical Fuzzy Logic Clustering
G.E. Tsekouras, D. Papageorgiou, and C. Kalloniatis (Greece)
|
Abstract
|
|
453-028
|
Service Description and Composition using Ontologies
O.S. Kin and T.E. Kong (Malaysia)
|
Abstract
|
|
453-059
|
How Empiricism Distorts AI and Robotics
A. Diller (UK)
|
Abstract
|
|
453-122
|
Learning Bayesian Network Structures from Small Datasets using Simulated Annealing and Bayesian Score
M.A. Carrillo, F.J. Cantú Ortiz, R. Morales-Menéndez, and L.E. Garza Castañon (Mexico)
|
Abstract
|
|
453-130
|
Document Classifications based on Word Semantic Hierarchies
X. Peng and B. Choi (USA)
|
Abstract
|
|
453-132
|
The Implications of Tacit Knowledge Research for Organizations
P. Busch and D. Richards (Australia)
|
Abstract
|
|
453-177
|
Group Preference Modelling in SMAA using Belief Functions
R. Lahdelma (Finland), T. Tervonen (Finland, Portugal), P. Salminen (Finland), and J. Figueira (Portugal)
|
Abstract
|
|
453-197
|
Towards Planning as Concurrency
O. Kahramanoğulları (Germany)
|
Abstract
|
|
453-243
|
Shared Dynamic Context Models: Benefits for Advanced Sensor Data Fusion for Autonomous Robots
G. Kindermann, U.-P. Käppeler, N. Hönle, D. Nicklas, and D. Dudkowski (Germany)
|
Abstract
|
|
453-269
|
Bitboards:
A New Approach
P. San Segundo and R. Galán (Spain)
|
Abstract
|
|
453-278
|
An Improved Method for Extraction of Intrinsic Images from a Single Image with Integrated Measures
Y.-C. Chung, S.-L. Chang, J.-M. Wang, and S.-W. Chen (Taiwan)
|
Abstract
|
|
453-018
|
On the Robustness of Fluorescence Fingerprinting of Plants
M.C. Codrea, T. Aittokallio, M. Keränen, E. Tyystjärvi, and O.S. Nevalainen (Finland)
|
Abstract
|
|
453-060
|
Machine Learning for HIV-1 Protease Cleavage Site Prediction
A. Lumini and L. Nanni (Italy)
|
Abstract
|
|
453-061
|
Subspace Classifier for Protein Subcellular Localization Prediction
A. Lumini and L. Nanni (Italy)
|
Abstract
|
|
453-062
|
Identifying Splice-Junction Sequences by Hierarchical Multiclassifier
A. Lumini and L. Nanni (Italy)
|
Abstract
|
|
453-063
|
Action Dependent State Space Abstraction for Hierarchical Learning Systems
M. Asadi and M. Huber (USA)
|
Abstract
|
|
453-108
|
Optimization of a Face Verification System using Bayesian Screening Techniques
R. Montes Diez, C. Conde, Á. Serrano, L.J. Rodríguez-Aragón, and E. Cabello (Spain)
|
Abstract
|
|
453-109
|
A Hypothesis on the Mechanism of Learning and a Theory of Abstraction and Cognition
S. Iyengar (USA)
|
Abstract
|
|
453-143
|
Comparison of Pattern Classification Methods in System for Crossarm Reuse Judgement on the Basis of Rust Images
M. Yamana, H. Murata, T. Onoda, T. Ohashi, and S. Kato (Japan)
|
Abstract
|
|
453-167
|
Reinforcement Learning of Perceptual Classes using Q Learning Updates
S. Jodogne and J.H. Piater (Belgium)
|
Abstract
|
|
453-205
|
Using Multiple Experts for Predicting Protein Secondary Structure
G. Armano, G. Mancosu, and A. Orro (Italy)
|
Abstract
|
|
453-099
|
Resource and Job Aware Coordination in Multi Agent Filtering Framework
S. Albayrak and D. Milosevic (Germany)
|
Abstract
|
|
453-158
|
Optical Flow based Motion Detection using Biologically Motivated Selective Attention Model
I. Lee, B.-J. Yun, and M. Lee (Korea)
|
Abstract
|
|
453-165
|
A Framework of Task-based Service Selection Support for Mobile Internet and Ubiquitous Networks
S. Kurakake and T. Naganuma (Japan)
|
Abstract
|
|
453-186
|
A Task Oriented Approach to Service Retrieval in Mobile Computing Environment
T. Naganuma and S. Kurakake (Japan)
|
Abstract
|
|
453-202
|
Accuracy of Sequential Bayesian Information Fusion
J.R.J. Nunnink and G. Pavlin (The Netherlands)
|
Abstract
|
|
453-244
|
Taking into Account Users’ (Dis-)Abilities WITHIN a Formal Theory of Rational Interaction
P. Clemente (France)
|
Abstract
|
|
453-266
|
A Mobile
Robot that Maps Naively But Plans Intelligently
C.K. Wong, W.K. Yeap (New Zealand), and M. Sapiyan
(Malaysia)
|
Abstract
|
|
453-277
|
An Intelligent System for Remote Monitoring and Prediction of Beach Safety
M. Browne, M. Blumenstein, R. Tomlinson, and C. Lane (Australia)
|
Abstract
|
|
453-808
|
News Headline Generation based on Linguistic Methods
R. Wang, N. Stokes, W. Doran, E. Newman, J. Carthy, and J. Dunnion (Ireland)
|
Abstract
|
|
453-003
|
Future Trends in Self-Formation
S. Janušonis and L. Leonas (Lithuania)
|
Abstract
|
|
453-008
|
Multi-Agent Architecture for Rehabilitation Strategy (MAARS)
H. Kothari and B. Sharp (UK)
|
Abstract
|
|
453-085
|
Time-Delay Compensation and Disturbance Rejection for Pneumatic Systems
C.-L. Lin, C.-H. Chen, V.-T. Liu, and T.-S. Hwang (Taiwan)
|
Abstract
|
|
453-110
|
An Autonomous Multi-Agent Solution for Adaptive Education
S. Sun and M. Joy (UK)
|
Abstract
|
|
453-113
|
Modular Learning based on Lyapunov Design Method for Control System of Autonomous Robot
M. Bando and H. Nakanishi (Japan)
|
Abstract
|
|
453-131
|
Using Artificial Intelligence to Assist Psychological Testing
K. Selvarajah and D. Richards (Australia)
|
Abstract
|
|
453-138
|
Adaptive Fuzzy Controller: Approximation Error Estimator Approach
P.A. Phan and T. Gale (Australia)
|
Abstract
|
|
453-256
|
Introducing an Embodied Virtual Presenter Agent in a Virtual Meeting Room
A. Nijholt, H. van Welbergen, and J. Zwiers (The Netherlands)
|
Abstract
|
|
453-300
|
Role-based Strategies at Example of RoboCup
D. Schröder, H. Burchardt, F. Sill, F. Golatowski, R. Salomon, and D. Timmermann (Germany)
|
Abstract
|
|
453-311
|
Wrapping of an Environment of Learning of Math in the Elementary School
L. de M. Nunes, J.C. de C. e S. Ribeiro, L.M.M. Giraffa, and Ú.F. Ribeiro (Brazil)
|
Abstract
|
|
453-321
|
A Multi-Agent Problem Solving Architecture based on UPML
C. Şandru, V. Negru, and D. Pop (Romania)
|
Abstract
|
|
453-020
|
Novel Hybrid Neural Networks for 'In Silico' Metabolic Modeling
H. Richardson, L. Macklem, and M. Zohdy (USA)
|
Abstract
|
|
453-057
|
OSINT Analysis using Adaptive Resonance Theory for Conterterrorism Warnings
J.M. Carroll (USA)
|
Abstract
|
|
453-077
|
Fusion Strategies for Neural Learning Algorithms using Evolutionary and Discrete Gradient Approaches
R. Ghosh, J. Yearwood, M. Ghosh, and A. Bagirov (Australia)
|
Abstract
|
|
453-078
|
A Modular Neural Network Architecture for Rainfall Estimation
J. McCullagh (Australia)
|
Abstract
|
|
453-086
|
A Modified FMM Neural Network for Pattern Classification and Feature Analysis
H.J. Kim and H.S. Yang (Korea)
|
Abstract
|
|
453-128
|
Modelling Dam Water Level Changes in a Drought Affected Catchment Area using Neural Networks
K. Udono and R. Sitte (Australia)
|
Abstract
|
|
453-157
|
ANN-based Diagnostic System for Arrhythmia with ECG Signals
D. Gao, M. Madden, M. Schukat, D. Chambers, and G. Lyons (Ireland)
|
Abstract
|
|
453-185
|
Classification Medical Data Series by Artificial Immune Methods
W. Wajs (Poland)
|
Abstract
|
|
453-189
|
Multi-Context-Recurrent Neural Network for Load Forecasting
T. Rashid and T. Kechadi (Ireland)
|
Abstract
|
|
453-192
|
System Drifts Monitoring using a Neural Supervision System
H.A. Boubacar and S. Lecoeuche (France)
|
Abstract
|
|
453-225
|
A Rehabilitation Guidance System using Multi-Layer Feed-Forward Neural Networks
K. Keeni, W. Yan, N. Kitazima, and T. Takeda (Japan)
|
Abstract
|
|
453-166
|
Hybrid Neural Network Classifying Recognisable and Detecting Unrecognisable Radio Signals
A. Iversen, N.K. Taylor, K.E. Brown (UK), and J. Kårstad (Norway)
|
Abstract
|
|
453-176
|
Connectivity Strategies for Second-Order Rotation Invariant Neural Networks
T.-N. Yang, S.-J. Yen, C.-J. Chen, and C.-J. Lee (Taiwan)
|
Abstract
|
|
453-248
|
Investigation of a Classification-based Technique to Detect Illicit Objects for Aviation Security
S. Green, M. Blumenstein, V. Muthukkumarasamy, and J. Jo (Australia)
|
Abstract
|
|
453-259
|
Neural Network Applied to Detect Burn in Grinding
P.R. Aguiar, E.C. Bianchi, F.R.L. Dotto, R.A. Flauzino, and D.H. Spatti (Brazil)
|
Abstract
|
|
453-287
|
Exponential Cluster Smearing
P. Phillips, J. MacIntyre, and A. Moscardini (UK)
|
Abstract
|
|
453-301
|
Neural Network Models on the Prediction of Tool Wear in Turning Process: A Comparison Study
M.S. Alajmi (UK), S.E. Oraby (Kuwait), and I.I. Esat (UK)
|
Abstract
|
|
453-303
|
Estimation of Spatiotemporal Solar Data using Artificial Neural Networks and Gradient Pattern Analysis
M. Conceição de Andreade, R.R. Rosa, A. Rios Neto, H.S. Sawant, F.C.R. Fernandes, and R.A. Syck (Bra
|
Abstract
|
|
453-304
|
Neural Network based Real-Time Speed Estimation in an Induction Motor Sensorless Drive
F. Haghgoeian, M.A. Ouhrouche, and J.S. Thongam (Canada)
|
Abstract
|
|
453-314
|
Image Interpolation using Feedforward Neural Network
H. Aokage, K. Kameyama, and K. Wada (Japan)
|
Abstract
|
|
453-802
|
Interval Basis Neural Networks as a New Classification Tool
A. Horzyk (Poland)
|
Abstract
|
|
453-803
|
Artificial Neural Networks for Predicting Death Penalty Outcomes
S.T. Karamouzis and D. Wood Harper (USA)
|
Abstract
|
|
453-805
|
ART
Networks with Geometrical Distances
I. Dagher (Lebanon)
|
Abstract
|
|
What are Digital Object Identifers?
This publication covers the following topics: Planning and Scheduling; Data and Web Mining; Computational Intelligence; Probabilistic and Temporal Reasoning; Fuzzy Logic; Genetic Algorithms; Knowledge Acquisition and Representation; Machine Learning; Intelligent Information Systems; Intelligent Systems; Natural Language Processing; Model and Case-based Reasoning; Expert Systems and Distributed Artificial Intelligence; and Neural Networks.