ACC'17 - The 1st International Conference on Applied Cognitive Computing

by admin last modified Feb 03, 2018 08:38 PM
The conference is composed of a number of tracks, tutorials, sessions, workshops, poster and panel discussions; it will be held simultaneously with 20 other conferences at the same location on July 17-20, 2017 in Las Vegas, Nevada, USA.

The primary goal of the Applied Cognitive Computing conference is to provide a platform for researchers, scientists, industry experts and scholars to share their novel ideas and research results on the application of human cognition models in various practical computing applications. Through this conference, the organizers would like to develop an interdisciplinary venue to contribute and discuss the ongoing innovations, applications and solutions to challenging problems of engineering human brain processes, learning mechanisms and decision making processes.

You are invited to submit a paper for consideration. All accepted papers will be published in printed conference books/proceedings (each with a unique international ISBN number) and will also be made available online. The proceedings will be indexed in science citation databases that track citation frequency/data.

In addition, like prior years, extended versions of selected papers (about 40%) will appear in journals and edited research books; publishers include, Springer, Elsevier, BMC, and others). See the web link below for a small subset of such publications: (some of these books and journal special issues have already received the top 25% downloads in their respective fields and/or identified as "Highly Accessed" by publishers and/or science citation index trackers.) Click here for more details ... 

All researchers, authors and scientists are respectfully encouraged to contribute to the conference with submissions of their novel research papers having unpublished and original research with theoretical, mathematical, empirical and experimental work in the following arears of applied cognitive computing and are cordially invited for presentation at the conference. 

    • Novel Computationally Intelligent algorithms
    • Bio Inspired Cognitive Algorithms
    • Improving Cognition in machine learning systems
    • Modeling Human Brain processing systems
    • Multimodal learning systems
    • Autonomous learning systems
    • Reinforced learning
    • Cognitive evolution
    • Concept Drift and Evolution
    • Cognitive inferential systems
    • Cognitive improvement in deep learning networks
    • Hebbian Learning Systems
    • Advancements in Neural Networks
    • Fuzzy Engineering
    • Multiscale Learning systems
    • Fractal based learning and decision support systems
    • Application of chaos Engineering in machine intelligence
    • Dynamical learning systems
    • Application of Information Theory in Machine Intelligence
    • Application of linear and nonlinear optimization theory in machine intelligence
    • New algorithms for Predictive Analytics and Applied Data Science
    • Self-Adaptive and Self Organizing Systems
    • Manifold and Metric learning
    • Cognitive Modeling, Visualization and Analytics of Big Data
    • Application of Graph Theoretic approaches in dimensionality reduction and machine intelligence
    • Information and Knowledge retrieval and searching algorithms
    • Big data knowledge mining
    • Mathematical modeling of Big Data and Artificial Intelligence
    • Cognitive Signal Processing
    • Rough Set Theory
    • Knowledge Representation and Classification Systems
    • Agent Based Modeling in Machine Learning Systems
    • Information Processing and Decision Making Systems
    • Natural Language Processing
    • Big Data Fusion and Information Retrieval
    • Time and Space Analysis in Machine Learning
    • New application of classical stochastic and statistical analysis for big data machine learning
    • Bayesian modeling applications
    • Hierarchical learning systems
    • Cognition in Genetic and Evolutionary algorithms for learning and decision making
    • Nature inspired cognitive computing algorithms
    • Heuristic Analysis
    • Cognitive Feature Extraction
    • Extraction of latent semantics from big data
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