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Partial list of invited sessions:
| 1. Complex Systems Optimization and Application |
(pdf) |
| Description: |
The session is focused on the optimization problems and application in complex manufacturing systems and economic systems. The complex system optimization is the frontier field of academic circles, with features such as large-scale, strong-coupling, non-linearity, multi-uncertainty, complex constraints, etc. The combination of intelligence computing methods, optimization theory, mathematical model and computer science can be used to solve some complex optimization problems. And the influence of optimization control theories and intelligence technology is becoming stronger and stronger. The above mentioned research simultaneously stimulates the interest on management engineering, information system, decision support system, economic system optimization and evaluation. |
| Submission Topics: |
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System modelling and intelligence control |
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Information processing |
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Uncertain optimization |
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Comprehensive evaluation methods. |
|
| Submission Method: |
Authors must submit an electronic copy (in word or pdf) of their complete manuscript directly to the Session Organizer (lifachao@tsinghua.org.cn) on or before 31st March, 2010 |
| Organizer: |
Professor Fa-Chao Li
Hebei University of Science and Technology,China
lifachao@tsinghua.org.cn
|
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| 2. Generalized Measures & Their Integrals |
(pdf) |
| Description: |
The goal of this invited session is to bring together researchers interesting in generalized measures & their integrals. Researchers from these areas are encouraged to submit papers to present their work related to fuzzy measures, general measures, fuzzified measures, etc, & their integrals. Submissions will be evaluated on the basis of their innovation, relevance, scientific contribution and presentation. |
| Submission Topics: |
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Fuzzy measures |
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Multivalent measure |
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Monotone measure |
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General measure |
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Signed general measure |
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Fuzzified measure |
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Fuzzy integrals |
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Fuzzy integral regression |
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Rough fuzzy integral |
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Applications of fuzzy measures and fuzzy integrals |
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Twofold fuzzy integral |
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Other related topics. |
|
| Submission Method: |
Authors must submit an electronic copy (in word or pdf) of their complete manuscript directly to the Session Organizer (lhc@asia.edu.tw) on or before 31st March, 2010 |
| Organizer: |
Professor Hsiang-Chuan Liu
Asia University, Taiwan
lhc@asia.edu.tw
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| 3. Advanced Data Mining and Applications |
(pdf) |
| Description: |
A growing attention has been paid to the study, development and application of data mining. As a result there is an urgent need for sophisticated techniques and tools that can handle new fields of data mining, and our knowledge on data mining should also have to be expanded to new applications. Within ICMLC 2010, the special session, Advanced Data Mining and Applications, invites you to submit original papers that contain significant research results, development work, and innovative practices in all areas of the advanced data mining and applications. |
| Submission Topics: |
| Advanced Data Mining |
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Theoretical aspects of data mining |
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Parallel and distributed data mining algorithms |
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Mining on data streams |
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Multirelational and multidatabase data mining |
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Text, video, multimedia data mining |
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Graph mining, link analysis, and social network mining |
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Mining spatial and temporal datasets |
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Transfer learning in mining cross-domain data |
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Opinion mining and summarization |
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Privacy- and anonymity-preserving data analysis |
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Web mining |
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High performance data mining algorithms |
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Information hiding in data mining |
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Visual data mining and interactive data mining |
| Data Mining Applications |
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E-commerce and Web services |
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Bioinformatics, Genomics, and biometrics |
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Financial market analysis |
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Telecommunications |
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Hydroinformatics |
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Image interpretations |
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Medical informatics |
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Application of Data Mining in Education. |
|
| Submission Method: |
Authors must submit an electronic copy (in word or pdf) of their complete manuscript directly to the Session Organizer (qianlima@scut.edu.cn) on or before 31st March, 2010 |
| Organizers: |
Professor Hong Peng
South China University of Technology, China
Dr. Qianli Ma
South China University of Technology, China
qianlima@scut.edu.cn
Dr. Peijie Huang
South China Agricultural University, China
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| 4. Intelligent Systems |
(pdf) |
| Description: |
The goal of this invited session is to bring together researchers interesting in intelligent systems. Researchers from these areas are encouraged to submit papers to present their work related to intelligent systems. Submissions will be evaluated on the basis of their innovation, relevance, scientific contribution, and presentation. |
| Submission Topics: |
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Neural nets and support vector machines |
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Intelligent and knowledge based systems |
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Intelligent agent |
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Inductive learning |
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Intelligent control |
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Sample and feature selection |
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Evolutionary computation |
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Data mining |
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Automated reasoning |
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Knowledge-based systems |
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Information retrieval and integration |
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Machine learning |
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Pattern recognition |
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Robotics |
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Speech recognition and synthesis |
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Mobile intelligence |
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Web intelligence |
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AI applications |
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Computer vision |
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Image processing |
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Intelligent e-learning/tutoring |
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Semantic web |
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Other related topics. |
|
| Submission Method: |
Authors must submit an electronic copy (in word or pdf) of their complete manuscript directly to the Session Organizer (smchen@mail.ntust.edu.tw) on or before 31st March, 2010 |
| Organizer: |
Professor Shyi-Ming Chen
National Taiwan University of Science and Technology, Taiwan
smchen@mail.ntust.edu.tw
|
| Back to the Top |
| Description: |
The goal of this invited session is to bring together researchers interesting in fuzzy systems. Researchers from these areas are encouraged to submit proposals papers to present their work related to fuzzy systems. Submissions will be evaluated on the basis of their innovation, relevance, scientific contribution, and presentation. |
| Submission Topics: |
| - |
Fuzzy reasoning |
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Fuzzy control and robotics |
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Fuzzy image, speech and signal processing |
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Vision and multimedia, and pattern recognition |
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Fuzzy data mining |
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Fuzzy time series |
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Fuzzy forecasting |
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Fuzzy expert systems |
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Fuzzy neural networks |
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Fuzzy information processing |
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Fuzzy decision-making |
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Computing with words |
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Granular computing |
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Rough set |
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Grey systems |
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Fuzzy data analysis |
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Industrial, financial, and medical applications |
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Applications of fuzzy systems |
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Other related topics. |
|
| Submission Method: |
Authors must submit an electronic copy (in word or pdf) of their complete manuscript directly to the Session Organizer (smchen@mail.ntust.edu.tw) on or before 31st March, 2010 |
| Organizer: |
Professor Shyi-Ming Chen
National Taiwan University of Science and Technology, Taiwan
smchen@mail.ntust.edu.tw
|
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| 6. Intelligent Systems: Theorem and Applications |
(pdf) |
| Description: |
The goal of this invited session is to bring together researchers interesting in theoretic development and applications of intelligent systems. Researchers from these areas are encouraged to submit paper to present their work related to above topics. Submissions will be evaluated on the basis of their innovation, relevance, scientific contribution, and presentation. |
| Submission Topics: |
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Fuzzy system |
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Neural network |
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Cerebellar model articulation controller |
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Genetic algorithm |
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Grey theorem |
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Evolution algorithm |
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Immune algorithm |
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Particle swam optimization |
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Robotics |
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Control systems |
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Signal processing |
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Pattern recognition |
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Others about intelligent systems and applications |
|
| Submission Method: |
Authors must submit an electronic copy (in word or pdf) of their complete manuscript directly to the Session Organizer (cml@saturn.yzu.edu.tw) on or before 31st March, 2010 |
| Organizer: |
Professor Shyi-Ming Chen
National Taiwan University of Science and Technology, Taiwan
cml@saturn.yzu.edu.tw
|
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| 7. Information Security |
(pdf) |
| Description: |
Our quality of life has increased rapidly in the past decades due to the development and application of information technology. However, information technology has also provided new opportunities for criminals and terrorists. For example, steal financial information, empty bank accounts, obtain loans fraudulently, sell copyright software illegally, and attack on critical information infrastructures. Therefore, it is essential to enhance the security of current information technology systems, to prevent illegal or criminal activities or to detect them when they occur. In response, algorithms, protocols, architectures, and systems have been developed; biometrics research has improved the security of access control and authentication; digital information hiding techniques are used to protect copyright, etc. In this Invited Session, original research papers are solicited in all areas of information security. Papers must contain high-quality previously unpublished work. |
| Submission Topics: |
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Authentication protocols |
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Biometrics recognition and authentication |
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Cryptography |
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Data and system integrity |
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Information hiding and digital watermarking |
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Operating systems security |
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Risk assessment |
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Trusted computing |
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Information security certification and accreditation |
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Information security management |
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Vulnerability, exploitation tools, and virus/worm analysis |
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Other information security topics. |
|
| Submission Method: |
Authors must submit an electronic copy (in word or pdf) of their complete manuscript directly to the Session Organizer (Hurricane_z@ustc.edu) on or before 31st March, 2010 |
| Organizers: |
Dr. Xiaodong Zuo
Chinese Academy of Sciences, China
Hurricane_z@ustc.edu
Dr. Yuan Yuan
Aston University, U.K.
|
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| 8. Intelligent Information Mining |
(pdf) |
| Description: |
Finding patterns, trends, and anomalies in huge databases, and summarizing them with simple quantitative models, is one of the most important challenges in the current information age. To avoid data flooding, data has to be turned into information and preferably into knowledge. There is a huge amount of information locked up in databases. Such information is potentially important but has not yet been discovered or articulated. Information mining is the extraction of implicit, previously unknown, and potentially useful information from data. It is concerned with construction of computer programs that go through databases automatically, seeking regular patterns and generalizing them to make accurate predictions on future data. The goal of this session is to provide a forum where researchers can exchange their research results on state-of-the-art mining methods and get together for sharing with their experience obtained from the applications of various mining techniques. |
| Submission Topics: |
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Data and web mining |
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Business intelligence |
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Pattern Recognition |
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Neural nets and support vector machines |
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Fuzzy theory |
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control and systems |
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Multimedia information retrieval |
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Intelligent and knowledge based systems |
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Sample and feature selection |
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Inductive learning |
|
| Keywords: |
data mining, machine learning, statistical modeling, association rule, knowledge representation |
| Submission Method: |
Authors must submit an electronic copy (in word or pdf) of their complete manuscript directly to the Session Organizer (leesj@mail.ee.nsysu.edu.tw) on or before 31st March, 2010 |
| Organizers: |
Prof. Shie-Jue Lee
National Sun Yat-Sen University, Taiwan
leesj@mail.ee.nsysu.edu.tw
|
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| 9. Learning Methods and their Applications |
(pdf) |
| Description: |
Machine learning is concerned with the construction of computer programs that automatically improve with experience. In recent years many successful machine learning applications have been developed, ranging from data-mining that detects transaction patterns, to information retrieval that ranks users’ preferences, to system modeling that constructs input-output relationship for unknown systems. At the same time, there have been a large amount of updates and advances in the theory and algorithms that form the foundations of this field. The goal of this session is to provide a forum where researchers can exchange their research results on state-of-the-art machine learning methods, such as support vector machines, decision trees, logistic regression, neural networks, genetic algorithms, etc., and get together for sharing with their experience obtained from the applications of various machine learning techniques. |
| Submission Topics: |
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Adaptive systems |
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Business intelligence |
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Data and web mining |
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Evolutionary computation |
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Pattern Recognition |
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Neural nets and support vector machines |
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Inductive learning |
|
| Keywords: |
machine learning, symbolic learning, numeric learning, evolutionary learning |
| Submission Method: |
Authors must submit an electronic copy (in word or pdf) of their complete manuscript directly to the Session Organizer (leesj@mail.ee.nsysu.edu.tw) on or before 31st March, 2010 |
| Organizers: |
Prof. Shie-Jue Lee
National Sun Yat-Sen University, Taiwan
leesj@mail.ee.nsysu.edu.tw
|
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| 10. Intelligent Systems with Applications |
(pdf) |
| Description: |
In recently years, the intelligent systems have been very successful in many areas, such as pattern recognition, robotic, home-appliance automation and intelligent agent. In this session, some topics related intelligent systems will be discussed, including (1) the trends of the method in the intelligent systems, such as fuzzy clustering, neural networks and genetic algorithms (2) The new ideas for applications of intelligent systems, such as pattern recognition and robotic. (3) The challenges of intelligent systems and its further related applications.
Researchers from these areas are encouraged to submit papers to present their work related to intelligent systems with applications. |
| Submission Topics: |
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Fuzzy Clustering in intelligent systems |
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Neural Networks in intelligent systems |
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Machine learning in intelligent systems |
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Genetic Algorithms in intelligent systems |
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Data mining in intelligent systems |
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Intelligent control in intelligent systems |
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CMAC in intelligent systems |
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Pattern Recognition in intelligent systems |
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Robotic in intelligent systems |
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Other related applications of intelligent systems |
|
| Keywords: |
Intelligent Systems; Fuzzy Clustering; Pattern Recognition; Robotic |
| Submission Method: |
Authors must submit an electronic copy (in word or pdf) of their complete manuscript directly to the Session Organizer (shieh@mail.sju.edu.tw) on or before 31st March, 2010 |
| Organizers: |
Dr. Horng-Lin Shieh
Department of Electrical Engineering, St. John's University, Taiwan
shieh@mail.sju.edu.tw
Dr. Chun-Liang Hsu
Department of Electrical Engineering, St. John's University, Taiwan
liang@mail.sju.edu.tw
|
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| 11. Multimedia Editing and Processing |
(pdf) |
| Description: |
The goal of this session is to present and discuss new methods for the multimedia editing and processing. Since multimedia data has been widely used for various applications for easy transmission, editing, duplication, and storage, etc., it is very significant to provide good solutions for handling multimedia data. This session invites researchers to submit their original papers related to multimedia editing and processing and submissions will be evaluated on the basis of their innovation, relevance, scientific contribution, presentation, and usability. |
| Submission Topics: |
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Speech processing |
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Image processing |
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Video processing |
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Pattern Recognition |
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Multimedia systems |
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Multimedia communication |
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Video surveillance systems |
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| Keywords: |
Multimedia systems, Image processing, Video processing, Multimedia communication
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| Submission Method: |
Authors must submit an electronic copy (in word or pdf) of their complete manuscript directly to the Session Organizer (jtwang@just.edu.tw) on or before 31st March, 2010 |
| Organizers: |
Dr. Jong-Tzy Wang
Jinwen University of Science and Technology, Taiwan
jtwang@just.edu.tw
Dr. Chen-Wei Lee
Jinwen University of Science and Technology, Taiwan
chenwei@just.edu.tw
Dr. Yong-Huai Huang
Jinwen University of Science and Technology, Taiwan
yonghuai@just.edu.tw
|
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| 12. Data Mining and Machine Learning in Biomolecular Systems |
(pdf) |
| Description: |
The biomolecular systems are much complex than the industrial processes. Modeling and learning will be critical to help understanding of the system. The more challenging problem met in the field is smaller data samples available compared with the much complex system that need to identify. It would be a very interesting study to develop the new learning method to this fascinating problem and explore the unique integration of machine learning and system biology. |
| Submission Topics: |
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Machine learning |
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Data mining |
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Biomolecular system |
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Gene regulatory network |
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| Submission Method: |
Authors must submit an electronic copy (in word or pdf) of their complete manuscript directly to the Session Organizer (MEHXLI@cityu.edu.hk) on or before 31st March, 2010 |
| Organizers: |
Prof. Li HX
City University of Hong Kong, Hong Kong
MEHXLI@cityu.edu.hk
Prof. Chen Luonan
Osaka Sangyo University, Japan
chen@eic.osaka-sandai.ac.jp
|
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| 13. Pattern Recognition & Information Security |
(pdf) |
| Description: |
The goal of this invited session is to bring together researchers interesting in pattern recognition and information security. Researchers from these areas are encouraged to submit papers to present their work related to pattern recognition and information security. Submissions will be evaluated on the basis of their innovation, relevance, scientific contribution, and presentation. |
| Submission Topics: |
| Pattern Recognition |
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Biometrics |
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Artificial intelligence |
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Pattern analysis |
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Feature selection |
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Feature analysis |
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Classification and clustering |
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Image processing |
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Machine learning |
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Computer vision |
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Data mining |
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Other related topics |
| Information Security |
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Access control |
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Intrusion detection |
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Information hiding and watermarking |
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Security modeling and architectures |
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Other related topics |
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| Submission Method: |
Authors must submit an electronic copy (in word or pdf) of their complete manuscript directly to the Session Organizer (rh_su@yahoo.com.cn) on or before 31st March, 2010 |
| Organizers: |
Prof. Su Han
Sichuan Normal University, China
rh_su@yahoo.com.cn
Prof. Liao Zhiwu
Sichuan Normal University, China
liaozhiwu@163.com
|
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| 14. Smoothing Support Vector Machine |
(pdf) |
| Description: |
The aim of this session is the basic theory, smoothing methods, optimization and applications of support vector machine. Researchers from these areas are encouraged to submit papers to present their work related to smoothing support vector machine. Submissions will be evaluated on the basis of their innovation, relevance, scientific contribution, and presentation. |
| Submission Topics: |
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Mathematical modeling of support vector machine |
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Neural networks and Approximation Theory |
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Optimization and optimal control of support vector machine |
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Neural nets and support vector machines |
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Mathematical and computational analyses in support vector machine |
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Other related topics. |
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| Submission Method: |
Authors must submit an electronic copy (in word or pdf) of their complete manuscript directly to the Session Organizer (yuan_yubo@163.com) on or before 31st March, 2010 |
| Organizer: |
Prof. Yu-Bo Yuan
China Jiliang University, China
yuan_yubo@163.com
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