16. ICTAI 2004:
Boca Raton,
Florida,
USA
16th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2004), 15-17 November 2004, Boca Raton, FL, USA.
IEEE Computer Society 2004, ISBN 0-7695-2236-X
Keynote Speeches
Session 1:
Data Mining - I
Session 2:
Optimization - I
Session 3:
SAT/Search Algorithms - I
Session 4:
Machine Learning - I
- John A. Rushing, Sara J. Graves, Evans Criswell, Amy Lin:
A Coverage Based Ensemble Algorithm (CBEA) for Streaming Data.
106-112
- Alexandros Kalousis, Julien Prados, Jean-Charles Sanchez, Laure Allard, Melanie Hilario:
Distilling Classification Models from Cross Validation Runs: An Application to Mass Spectrometry.
113-119
- Alex Cronin, Orla McEnery, M. Tahar Kechadi, Franz Geiselbrechtinger:
Comparative Analysis of Two Associative Memory Neural Networks.
120-127
- Alexander L. Strehl, Michael L. Littman:
An Empirical Evaluation of Interval Estimation for Markov Decision Processes.
128-135
Session 5:
Data Mining - II
Session 6:
Software Engineering with Computational Intelligence
- Manish Gupta, Farokh B. Bastani, Latifur Khan, I-Ling Yen:
Automated Test Data Generation Using MEA-Graph Planning.
174-182
- Naeem Seliya, Taghi M. Khoshgoftaar, Shi Zhong:
Semi-Supervised Learning for Software Quality Estimation.
183-190
- Qi Wang, Bo Yu, Jie Zhu:
Extract Rules from Software Quality Prediction Model Based on Neural Network.
191-195
- Márcio Rodrigo Braz, Silvia Regina Vergilio:
Using Fuzzy Theory for Effort Estimation of Object-Oriented Software.
196-201
- Marek Reformat, Petr Musílek, Vanda Wu, Nicolino J. Pizzi:
Human Perception of Software Complexity: Knowledge Discovery from Software Data.
202-206
Session 7:
Information Retrieval - I
Session 8:
SAT/Search Algorithms - II
Session 9:
Machine Learning - II
Session 10:
Planning & Scheduling
Session 11:
Intelligent Image Analysis - I
Session 12:
Data Mining - III
Session 13:
Evolutionary Computation
Session 14:
Agent-Based Systems
Session 15:
Knowledge Representation and Management - I
Session 16:
Intelligent Image Analysis - II
- P. Kakumanu, S. Makrogiannis, Robert K. Bryll, Sethuraman Panchanathan, Nikolaos G. Bourbakis:
Image Chromatic Adaptation Using ANNs for Skin Color Adaptation.
478-485
- Wu-Jun Li, Chong-Jun Wang, Dianxiang Xu, Shifu Chen:
Illumination Invariant Face Recognition Based on Neural Network Ensemble.
486-490
- Chong-Jun Wang, Yu-Bin Yang, Wu-Jun Li, Shifu Chen:
Image Texture Representation and Retrieval Based on Power Spectral Histograms.
491-495
Session 17:
SAT/Search Algorithms - III
Session 18:
Information Retrieval - II
Session 19:
SAT/Search Algorithms - IV
Session 20:
Unsupervised and Semi-Supervised Learning - I
Session 21:
Knowledge Representation & Management - II
Session 22:
Machine Learning - III
- Zhipeng Xie, Wynne Hsu, Mong-Li Lee:
Mode Committee: A Novel Ensemble Method by Clustering and Local Learning.
628-633
- Robel Y. Kahsay, Li Liao, Guang R. Gao:
An Improved Hidden Markov Model for Transmembrane Topology Prediction.
634-639
- Tie-Fei Liu, Wing-Kin Sung, Ankush Mittal:
Learning Multi-Time Delay Gene Network Using Bayesian Network Framework.
640-645
- Barry O'Sullivan, Alex Ferguson, Eugene C. Freuder:
Boosting Constraint Satisfaction Using Decision Trees.
646-651
- Wenhui Liao, Weihong Zhang, Qiang Ji:
A Factor Tree Inference Algorithm for Bayesian Networks and Its Application.
652-656
Session 23:
Unsupervised and Semi-Supervised Learning - II
- Jianghui Liu, Jason T. L. Wang, Wynne Hsu, Katherine G. Herbert:
XML Clustering by Principal Component Analysis.
658-662
- Mamoun Awad, Latifur Khan, Farokh B. Bastani, I-Ling Yen:
An Effective Support Vector Machines (SVMs) Performance Using Hierarchical Clustering.
663-667
- Sundara Venkataraman, Dimitris N. Metaxas, Dmitriy Fradkin, Casimir A. Kulikowski, Ilya B. Muchnik:
Distinguishing Mislabeled Data from Correctly Labeled Data in Classifier Design.
668-672
- Yasser El-Sonbaty, M. A. Ismail, Mohamed Farouk:
An Efficient Density Based Clustering Algorithm for Large Databases.
673-677
Session 24:
SAT/Search Algorithms - V
Session 25:
Machine Learning - IV
Session 26:
Optimization - II
Session 27:
Posters
- Grigoris Antoniou, Antonis Bikakis, Gerd Wagner:
A Defeasible Logic Programming System for the Web.
756-757
- Zhipeng Xie:
A Study of Selective Neighborhood-Based Nai"ve Bayes for Efficient Lazy Learning.
758-760
- Arvind K. Bansal:
Exploiting Systemic Biological Modeling for Trigger Based Adaptation in Networked Intelligent Multi-Agent Systems.
761-768
- Saleem Abuleil, Martha Evens:
Events Extraction and Classification for Arabic Information Retrieval Systems.
769-770
- Célia A. Zorzo Barcelos, Márcio J. R. Ferreira, Mylene L. Rodrigues:
Textured Image Retrieval by the Modal Analysis of Quantized Spectral Point Patterns.
771-773
- Christoph F. Eick, Nidal M. Zeidat, Zhenghong Zhao:
Supervised Clustering - Algorithms and Benefits.
774-776
- Fabien Picarougne, Hanene Azzag, Gilles Venturini, Christiane Guinot:
On Data Clustering with a Flock of Artificial Agents.
777-778
- Salvatore Gaglio, Luca Gatani, Giuseppe Lo Presti, Giuseppe Lo Re, Alfonso Urso:
A Dynamic Reasoning Architecture for Computer Network Management.
779-781
- Bruce McQueary, Lee Krause, Eugene Santos Jr., Hua Wang, Qunhua Zhao:
Modeling, Analysis and Visualization of Uncertainty in the Battlespace.
782-783
- Ting Su, Jennifer G. Dy:
A Deterministic Method for Initializing K-Means Clustering.
784-786
Copyright © Fri Mar 12 17:15:23 2010
by Michael Ley (ley@uni-trier.de)