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Evaluation Platform for Artificial Intelligence Algorithms

Topics: Applications: Image and Signal Processing, Pattern Recognition, Decision Making, Human-Robot Interaction, Human Computer Interaction, Cognitive Robotics and Developmental Robotic, Sensor Mesh, Intelligent Networks, Internet Modeling, Multi-sensor Data Fus; Applications: Image Processing and Artificial Vision, Pattern Recognition, Decision Making, Industrial and Real World applications, Financial Applications, Neural Prostheses and Medical Applications, Neural based Data Mining and Complex Information Proces; Support Vector Machines and Kernel Methods

Authors: Zoltan Czako ; Gheorghe Sebestyen and Anca Hangan

Affiliation: Department of Computer Science, Technical University of Cluj-Napoca and Romania

ISBN: 978-989-758-327-8

Keyword(s): Artificial Intelligence Algorithms, Evaluation Platform, Methodology.

Abstract: Currently, artificial intelligence (AI) algorithms have been receiving a lot of attention from researchers as well as from commercial product developers. Hundreds of different AI algorithms aiming different kind of real-life problems have qualitatively different results, based on the nature of data, the nature of the problems and based on the context in which they are used. Choosing the most appropriate algorithm to solve a particular problem is not a trivial task. The goal of our research is to create a platform, which can be used in the early stage of problem solving. With this platform, the user could be able to quickly train, test and evaluate several artificial intelligence algorithms and also they will be able to find out which is the algorithm that performs best for a specific problem. Moreover, this platform will help developers to tune the parameters of the chosen algorithm in order to get better results on their problem. We will demonstrate our approach by running different types of algorithms initially in the case of breast cancer sample dataset and after that we will use the platform for solving an anomaly detection problem. (More)

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Paper citation in several formats:
Czako, Z.; Sebestyen, G. and Hangan, A. (2018). Evaluation Platform for Artificial Intelligence Algorithms.In Proceedings of the 10th International Joint Conference on Computational Intelligence - Volume 1: IJCCI, ISBN 978-989-758-327-8, pages 39-46. DOI: 10.5220/0006888900390046

@conference{ijcci18,
author={Zoltan Czako. and Gheorghe Sebestyen. and Anca Hangan.},
title={Evaluation Platform for Artificial Intelligence Algorithms},
booktitle={Proceedings of the 10th International Joint Conference on Computational Intelligence - Volume 1: IJCCI,},
year={2018},
pages={39-46},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006888900390046},
isbn={978-989-758-327-8},
}

TY - CONF

JO - Proceedings of the 10th International Joint Conference on Computational Intelligence - Volume 1: IJCCI,
TI - Evaluation Platform for Artificial Intelligence Algorithms
SN - 978-989-758-327-8
AU - Czako, Z.
AU - Sebestyen, G.
AU - Hangan, A.
PY - 2018
SP - 39
EP - 46
DO - 10.5220/0006888900390046

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