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1. Full Text Multi-objective optimization in computational intelligence
: theory and practice
by Bui, Lam Thu and Alam, Ricardo Sameer
2008, Premier reference source, ISBN 9781599045009, 496
"This book explores the theoretical, as well as empirical, performance of MOs on a wide range of optimization issues including combinatorial, real-valued,... 
Mathematical optimization | Artificial intelligence | Computational intelligence | Evolutionary computation | Mathematics
eBook
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2. Simulated evolution and learning
: 9th International Conference, SEAL 2012, Hanoi, Vietnam, December 16-19, 2012. Proceedings
by Bui, Lam Thu
2012
Web Resource
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3. Full Text A Ray Based Interactive Method for Direction Based Multi-objective Evolutionary Algorithm
by Nguyen, Long and Thu Bui, Lam
2014, ISBN 3319028200, Volume 245, 12
Reference
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4. Full Text Investigation of the Ionic Conductivities of Yttria-Doped Ceria and Yttria-Stabilized Zirconia by Using the Statistical Moment Method
by Lam, Le Thu and Hung, Vu Van and Tinh, Bui Duc
Journal of the Korean Physical Society, ISSN 0374-4884, 8/2019, Volume 75, Issue 4, pp. 293 - 303
The ionic conductivities of yttria-doped ceria (YDC) and yttria-stabilized zirconia (YSZ), are investigatied using statistical moment method including the... 
Theoretical, Mathematical and Computational Physics | Ionic conductivities | Yttria-doped ceria | Yttria-stabilized zirconia | Physics, general | Physics | Particle and Nuclear Physics | Statistical moment method | Conductivity | Lattice parameters | Lattice vacancies | Displacements (lattice) | Mathematical analysis | Diffusion barriers | Dopants | Anharmonicity | Yttrium oxide | Zirconium dioxide | Cerium oxides | Activation energy | Lattice vibration | Electrons
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5. Multi-objective optimization in computational intelligence
: theory and practice
by Bui, Lam Thu and Alam, Sameer
2008, ISBN 9781599044989
"This book explores the theoretical, as well as empirical, performance of MOs on a wide range of optimization issues including combinatorial, real-valued,... 
Evolutionary computation | Mathematical optimization | Artificial intelligence | Computational intelligence
Web Resource
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6. Success in evolutionary computation
by Bui, Lam Thu and Shan, Yin and Yang, Ang and ebrary, Inc
2008, Studies in computational intelligence, ISBN 9783540762867, Volume 92.
Evolutionary computation | Neural networks (Computer science)
Web Resource
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7. Success in evolutionary computation
by Yang, Ang and Shan, Yin and Bui, Lam Thu
2008, Studies in computational intelligence, ISBN 9783540762867, Volume 92
Evolutionary computation
Web Resource
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8. Success in evolutionary computation
by Bui, Lam Thu and Shan, Yin and Yang, Ang and ebrary, Inc
2008, Studies in computational intelligence, ISBN 9783540762867, Volume 92
Evolutionary computation | Neural networks (Computer science)
Web Resource
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9. Full Text A Multi-objective Approach for Vietnamese Spam Detection
by Ha, Quang Minh and Vu, Minh Tuan and Bui, Lam Thu and Tran, Quang Anh
2014, ISBN 3319028200, Volume 245, 11
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10. Simulated Evolution and Learning
: 9th International Conference, SEAL 2012, Hanoi, Vietnam, December 16-19, 2012. Proceedings
by Bui, Lam Thu and Ong, Yew Soon and Hoai, Nguyen Xuan and Ishibuchi, Hisao and Suganthan, Ponnuthurai Nagaratnam and SpringerLink (Online service)
2012, Lecture Notes in Computer Science, ISBN 9783642348594, Volume 7673
This volume constitutes the proceedings of the 9th International Conference on Simulated Evolution and Learning, SEAL 2012, held in Hanoi, Vietnam, in December... 
Computer science | Computer simulation | Data mining | Computational complexity | Artificial intelligence
Web Resource
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11. Simulated Evolution and Learning
: 10th International Conference, SEAL 2014, Dunedin, New Zealand, December 15-18, 2014. Proceedings
by Dick, Grant and Browne, Will N and Whigham, Peter and Zhang, Mengjie and Bui, Lam Thu and Ishibuchi, Hisao and Jin, Yaochu and Li, Xiaodong and Shi, Yuhui and Singh, Pramod and Tan, Kay Chen and Tang, Ke and SpringerLink (Online service)
2014, Lecture Notes in Computer Science, ISBN 3319135627, Volume 8886
This volume constitutes the proceedings of the 10th International Conference on Simulated Evolution and Learning, SEAL 2012, held in Dunedin, New Zealand, in... 
Computer science | Computer simulation | Data mining | Computational complexity | Artificial intelligence
Web Resource
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12. Simulated Evolution and Learning
: 10th International Conference, SEAL 2014, Dunedin, New Zealand, December 15-18, 2014. Proceedings
by Dick, Grant and Browne, Will N and Whigham, Peter and Zhang, Mengjie and Bui, Lam Thu and Ishibuchi, Hisao and Jin, Yaochu and Li, Xiaodong and Shi, Yuhui and Singh, Pramod and Tan, Kay Chen and Tang, Ke and SpringerLink (Online service)
2014, Lecture Notes in Computer Science, ISBN 3319135627, Volume 8886
This volume constitutes the proceedings of the 10th International Conference on Simulated Evolution and Learning, SEAL 2012, held in Dunedin, New Zealand, in... 
Computer science | Computer simulation | Data mining | Computational complexity | Artificial intelligence
Web Resource
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13. Simulated Evolution and Learning
: 10th International Conference, SEAL 2014, Dunedin, New Zealand, December 15-18, 2014. Proceedings
by Dick, Grant and Browne, Will N and Whigham, Peter and Zhang, Mengjie and Bui, Lam Thu and Ishibuchi, Hisao and Jin, Yaochu and Li, Xiaodong and Shi, Yuhui and Singh, Pramod and Tan, Kay Chen and Tang, Ke and SpringerLink (Online service)
2014, Lecture Notes in Computer Science, ISBN 3319135627, Volume 8886
This volume constitutes the proceedings of the 10th International Conference on Simulated Evolution and Learning, SEAL 2012, held in Dunedin, New Zealand, in... 
Computer science | Computer simulation | Data mining | Computational complexity | Artificial intelligence
Web Resource
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14. My Viêt
: Vietnamese American literature in English, 1962-present
by Janette, Michele
2011, ISBN 0824835506, xxvii, 250
Book
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15. Full Text A novel evolutionary multi-objective ensemble learning approach for forecasting currency exchange rates
by Bui, Lam Thu and Truong Vu, Van and Huong Dinh, Thi Thu
Data & Knowledge Engineering, ISSN 0169-023X, 03/2018, Volume 114, pp. 40 - 66
Due to the potential impact of the (currency) exchange rate risk in the financial market, forecasting exchange rate (FET) has become a hot topic in both... 
Multi-objective evolutionary | Non-dominated differential evolution | Ensemble learning | Currency exchange rates forecasting | COMPUTER SCIENCE, INFORMATION SYSTEMS | MONETARY | MODEL | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | PREDICTION
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16. Full Text DGCNN: A convolutional neural network over large-scale labeled graphs
by Phan, Anh Viet and Nguyen, Yen Lam Hoang and Nguyen, Minh Le and Bui, Lam Thu
Neural Networks, ISSN 0893-6080, 12/2018, Volume 108, pp. 533 - 543
Exploiting graph-structured data has many real applications in domains including natural language semantics, programming language processing, and malware... 
Convolutional neural networks (CNNs) | Control flow graphs (CFGs) | Labeled directed graphs | abstract syntax trees (ASTs) | NEUROSCIENCES | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | KERNELS | Algorithms | Semantics | Computer Graphics - trends | Natural Language Processing | Neural Networks (Computer) | Language processing | Computational linguistics | Neural networks | Spyware | Analysis | Natural language interfaces | Index Medicus
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17. Full Text An effective and efficient approach to classification with incomplete data
by Tran, Cao Truong and Zhang, Mengjie and Andreae, Peter and Xue, Bing and Bui, Lam Thu
Knowledge-Based Systems, ISSN 0950-7051, 08/2018, Volume 154, pp. 1 - 16
Many real-world datasets suffer from the unavoidable issue of missing values. Classification with incomplete data has to be carefully handled because... 
Missing data | Incomplete data | Feature selection | Imputation | Ensemble learning | Classification | ENSEMBLE | IMPUTATION METHODS | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | FEATURE-SELECTION | IMPACT | MISSING VALUES | MUTUAL INFORMATION | Computer science | Analysis | Datasets | Feature extraction | Data mining | Artificial intelligence | Expert systems | Data bases
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18. Full Text Feature weighting and SVM parameters optimization based on genetic algorithms for classification problems
by Phan, Anh Viet and Nguyen, Minh Le and Bui, Lam Thu
Applied Intelligence, ISSN 0924-669X, 3/2017, Volume 46, Issue 2, pp. 455 - 469
Support Vector Machines (SVMs) are widely known as an efficient supervised learning model for classification problems. However, the success of an SVM... 
Feature selection | Classification | Computer Science | Artificial Intelligence (incl. Robotics) | Manufacturing, Machines, Tools | Support vector machines (SVMs) | Mechanical Engineering | Genetic algorithms (GAs) | Feature weighting | NEAREST-NEIGHBOR CLASSIFICATION | SUPPORT VECTOR MACHINES | BANKRUPTCY | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | Genetic research | Analysis | Algorithms | Support vector machines | Parameters | Weighting | Searching | Mathematical models | Optimization | Genetic algorithms
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19. Full Text Integrating different densities of white leg shrimp Litopenaeus vannamei and red seaweed Gracilaria tenuistipitata in the nursery phase: effects on water quality and shrimp performance
by Anh, Nguyen Thi Ngoc and An, Bui Nguyen Thu and Lan, Lam My and Hai, Tran Ngoc
Journal of Applied Phycology, ISSN 0921-8971, 05/2019, pp. 1 - 12
The effects of integrating different densities of white leg shrimp Litopenaeus vannamei postlarvae (PL) and red seaweed Gracilaria tenuistipitata on water... 
Water-borne diseases | Pathogens | Growth rate | Tanks | Algae | Phosphorus | Density | Survival | Seaweeds | Stocking | Factorial experiments | Leg | Antibiotics | Submerging | Water quality assessments | Water quality | Stocking density | Nursery grounds | Antibacterial activity | Culture tanks | Vibrio | Stocking (organisms)
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20. Full Text Apprenticeship bootstrapping: Inverse Reinforcement learning in a multi-skill UAV-UGV coordination task
by The Nguyen, Hung and Bui, Lam Thu and Garratt, Matthew and Abbass, Hussein
Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS, ISSN 1548-8403, 2018, Volume 3, pp. 2204 - 2206
Inverse reinforcement Learning | Uavs | UGVs | Ground-air interaction | Apprenticeship learning | Deep Q-learning
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