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Special Sessions

Special sessions are very small and specialized events to be held during the conference as a set of oral and poster presentations that are highly specialized in some particular theme or consisting of the works of some particular international project. The goal of special sessions (minimum 4 papers; maximum 9) is to provide a focused discussion on innovative topics. All accepted papers will be published in a special section of the conference proceedings book, under an ISBN reference, and on digital support. All papers presented at the conference venue will be available at the SCITEPRESS Digital Library. SCITEPRESS is a member of CrossRef and every paper is given a DOI (Digital Object Identifier). The proceedings are submitted for indexation by Thomson Reuters Conference Proceedings Citation Index (ISI), DBLP, EI (Elsevier Engineering Village Index) and Scopus.


Special session proposals are accepted until:

October 17, 2018


If you wish to propose a new Special Session please kindly fill out and submit this Expression of Interest form.

SPECIAL SESSIONS LIST

RAIDERS 2019Special Session on Real-world Assessment of Individuals During Everyday Routines
Chair(s): Bethany Bracken

MEDSIMOC 2019Special Session on Search for Similar and Outlier Cases - Medical Applications
Chair(s): Agnieszka Duraj and Piotr Szczepaniak

MLGED 2019Special Session on Advances in Machine Learning Applied to Gene Expression Data
Chair(s): Paulo Ambrosio

NNSNT 2019Special Session on Non-invaisive Neuro-stimulation in Neurorehabilitation Tasks
Chair(s): Vladimir Kublanov

Special Session on Real-world Assessment of Individuals During Everyday Routines - RAIDERS 2019

Paper Submission: December 20, 2018
Authors Notification: January 7, 2019
Camera Ready and Registration: January 15, 2019


Chair

Bethany Bracken
Charles River Analytics Inc.
United States
e-mail
 
Scope

Over the past several years, the fast-paced technological advances in wearable and off-body sensors combined with new machine learning and deep learning algorithms development, quantifying many aspects of human state and performance has become possible, not just in very controlled laboratory conditions, but also during typical behaviors in real-world environments. However many challenges remain, including (but not limited to) developing techniques capable of accurately assessing individuals rather than simply finding statistical differences in data pooled across many participants, dealing with the large amount of noise inherent in real world data, and working with sensors of varying accuracy and accessibility. This session will discuss some of the victories and remaining challenges in real world assessment of humans.




Special Session on Search for Similar and Outlier Cases - Medical Applications - MEDSIMOC 2019

Paper Submission: December 20, 2018
Authors Notification: January 7, 2019
Camera Ready and Registration: January 15, 2019


Co-chairs

Agnieszka Duraj
Lodz University of Technology
Poland
e-mail
 
Piotr Szczepaniak
Lodz University of Technology
Poland
e-mail
 
Scope

The special session MEDSIMOC is dedicated to broadly understood issues of search for similar cases (objects) and outlier detection in large data sets, including big data. There are no limits for the kind of data: numeric, textual, mixed, or images.Similar cases and detection of outliers are the basis for decision-making processes, classification, diagnosis, treatment decisions, grouping, etc. The problems encompasses a wide spectrum of existing methods, and an innovative use of them, as well as innovative approaches are welcome. MEDSIMOC session is an opportunity to identify new research directions and presentation of original research results. It is also an opportunity for exchanging and diffusing innovative and practical experience in this field.

The scope of MEDSIMOC 2019 includes, but is not limited to the following issues:
•    Probabilistic and statistical models for identification of similar and outlier cases
•    Features selection for data mining and machine learning
•    Similar cases in data mining methods and outlier mining methods
•    Similar cases and outlier detection based on distance, density, depth, deviation etc.
•    Similar cases and outlier detection in categorical, text, mixed attribute data, stream data, image and image sequences
•    Identification similar cases and outlier detection in big data
•    Evolutionary algorithms for similar cases and outlier detection
•    Multi-label and fuzzy classification
•    Intelligent strategies, and fusion of methods
•    Visualization
•    Applications in biomedicine and healthcare



Special Session on Advances in Machine Learning Applied to Gene Expression Data - MLGED 2019

Paper Submission: December 20, 2018
Authors Notification: January 7, 2019
Camera Ready and Registration: January 15, 2019


Chair

Paulo Ambrosio
Universidade Estadual de Santa Cruz
Brazil
e-mail
 
Scope

Gene expression is a measurement of expression levels of various genes at once, with the intent to discover his function. One way to analyze this expression data is through clustering techniques, which aim to group genes of similar expression tendencies together. The current big problem in this research area is the huge amount of data that needs to be processed simultaneously, which require the development of new techniques and algorithms, principally on machine learning advances. This special session aims to show recent advances in the area, presenting new techniques of processing, automated analysis and pattern classification. It also intends to be a forum for sharing experiences between specialists, researchers and beginners in the area, presenting and discussing relevant ideas.


Special Session on Non-invaisive Neuro-stimulation in Neurorehabilitation Tasks  - NNSNT 2019

Paper Submission: December 20, 2018
Authors Notification: January 7, 2019
Camera Ready and Registration: January 15, 2019


Chair

Vladimir Kublanov
Ural Federal University
Russian Federation
e-mail
 
Scope

Among the leading causes of disability and high mortality are diseases of the central nervous system that are accompanied by cognitive, sensor, motor and autonomic disorders. For treatment of such diseases pharmacological methods are not always in conformity with the contemporary requirements of efficacy and safety of health care. New technologies for neuroprotection are emerging, based on application of different physical fields for formation of the neuromodulation as well as methods for its visualization. Especially promising is combined application. Participation in this Special Session of scientist, involved in various research directions of neuro-stimulation theory and techniques, will allow formulating new strategies for treatment process, aimed to minimize health risks for each person, based on personalized strategies of prevention and therapy


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