AMALEA: Advances in Machine Learning
There are many real-world problems of such high complexity that traditional scientific approaches, based on physical and statistical modeling of the data generation mechanism, do not succeed in addressing them efficiently. The cause of inefficiencies often lies in multidimensionality, nonlinearities, chaotic phenomena and the presence of a plethora of degrees of freedom and unknown parameters in the mechanism that generates data. As a result, loss of information that is crucial to solve a problem is inherent in the data generation process itself, making a traditional mathematical solution intractable.
- Background and Goals
- Topics of Interests
- Program Committees
- Instructions of Authors
- Important Dates
- Paper Submission
- Contact Us
At the same time, however, biological systems have evolved to address similar problems in efficient ways. In nature, we observe abundant examples of high level intelligence arising via inter-networking components of only elementary intelligence:
Biological neural networks, i.e., networks of interconnected biological neurons in the nervous system of most multi-cellular animals, are capable of learning, memorizing and recognizing patterns in signals such as images, sounds, smells or odors.
Ants exhibit a collective, decentralized, and self-organized intelligence that allows them to discover the shortest route to food in very efficient ways.
Similar ideas are true with regards to immune systems, social networks, financial and business networks, or graphs.
Topics of interest for this special session include, but not limited to:
biological and artificial neural networks
biological and artificial immune networks
biological and artificial swarm intelligence
fuzzy and neuro-fuzzy systems
deep belief networks/ deep learning approaches
advances in statistical learning
optimization methods in knowledge engineering
Professor-Dr. George A. Tsihrintzis, University of Piraeus
Dr. Dionysios Sotiropoulos, Athens University of Economics and Business
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Important Notice for Authors of Accepted Papers:
All Accepted Papers are required to pass IEEE PDF eXpress PDF Check by JULY 20, 2016 (Firm Deadline) in order to be included in the IEEE Xplore-compliant CD
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General Conference Important Dates
Workshop | Special Session | Tutorial Proposals: February 29, 2016
April 11, 2016 May 20, 2016
Author Notification: May 27, 2016
Camera-Ready: June 06, 2016
Paper Submission Process
Note! During paper submission, when you reach the SELECT A TRACK page, if you are submitting a paper to a Workshop or Special Session, you are kindly requested to select the appropriate WS (Workshop Session) or SS (Special Session) from those listed on the paper submission form. Otherwise, please select GS (General Sessions)!
Professor-Dr. George A. Tsihrintzis, University of Piraeus, email@example.com