International Conference on Artificial Intelligence and Computer Science 2014

AICS 2014

Computer Science, Engineering

International Conference on Artificial Intelligence and Computer Science 2014 15-16 Sep 2014 Golden Flower Hotel Bandung, Indonesia
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Call for papers – The AICS2014 Committee cordially invites submission of papers to the International Conference on Artificial Intelligence and Computer Science 2014. The AICS2014 conference is a platform to bring together researchers, developers and practitioners from academia and industry working in all interdisciplinary areas of Artificial Intelligence to share their experience, and exchange and cross-fertilize their ideas. The conference is hosted by, Koperasi Kolej Universiti Islam Antarabangsa Selangor (KOKISDAR).


“Artificial Intelligence and its Application for the Future”


Natural language processing

Machine Translation

Machine Transliteration

Computer Science

Computer Intelligence

Algorithm and Programming

Software Engineering

Fuzzy logic and soft computing

Software tools for AI

Expert systems

Decision support systems

Automated problem solving

Knowledge discovery

Knowledge representation

Knowledge acquisition

Knowledge-intensive problem solving techniques

Knowledge networks and management

Intelligent information systems

Intelligent web-based business

Intelligent agents

Intelligent networks

Intelligent databases

Intelligent user interface

AI and evolutionary algorithms

Intelligent tutoring systems

Reasoning strategies

Distributed AI algorithms and techniques

Distributed AI systems and architectures

Neural networks and applications

Heuristic searching methods

Languages and programming techniques for AI

Constraint-based reasoning and constraint programming

Intelligent information fusion

Search and meta-heuristics

Swarm Optimization

Integration of AI with other technologies

Evaluation of AI tools

Social intelligence (markets and computational societies)

Social impact of AI

Emerging technologies

Applications (including: computer vision, signal processing, pattern recognition, face recognition, finger print recognition, education, emerging applications, …)

Machine Learning

- General Machine Learning Theory

- Statistical learning theory

- Unsupervised and Supervised Learning

- Hierarchical learning models

- Relational learning models

- Meta learning - Stochastic optimization

- Simulated annealing

- Heuristic optimization techniques

- Neural networks - Reinforcement learning

- Multi-criteria reinforcement learning

- Multiple hypothesis testing

- Decision making

- Markov chain Monte Carlo (MCMC) methods

- Graphical models

- Gaussian graphical models

- Cross-Entropy method

- Ant colony optimization

- Time series prediction

- Fuzzy logic and learning

- Inductive learning and applications

- Grammatical inference

- General Graph-based Machine Learning Techniques

- Graph-based semi

-supervised learning

- Graph clustering

- Graph learning based on graph transformations and grammars

- Graph learning based on graph matching

- Information-theoretical approaches to graphs

- Motif search

- Network inference

- General issues in graph and tree mining

- Computational Intelligence

- Induction of document grammars

- Supervised and unsupervised classification of web data

- General Structure-based approaches in information retrieval, web
authoring, information extraction, and web content mining

- Latent semantic analysis

- Intelligent linguistic

- Aspects of text technology

- Computational vision

- Computational Statistics

All accepted papers with author registration, complete fee payment, presentation at the conference and subject to approval of Editorial Board will be published in the e-Proceeding of the Artificial Intelligence and Computer Science (AICS2014).

From: September 15, 2014 00:00
To: September 16, 2014 23:59

Golden Flower Hotel Bandung, 40111, Indonesia


Computer Science, Engineering


Artificial Intelligence, Computational Statistics, Natural language processing



Contact email

Contact phone
+6012 220 6954


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