2018 IEEE
World Congress on Computational Intelligence (WCCI 2018)
Rio de Janeiro, BRAZIL, 08-13 July 2018 - http://www.ecomp.poli.br/~wcci2018/
Abstract & Topics
Bioinformatics
and Computational Biology deal with a wide range of problems and applications
which, in recent years, have been successfully solved by means of Computational
Intelligence and Machine Learning techniques. Moreover, due to technological
progress, huge amounts of data concerning biological organisms are gathered and collected (e.g. genes
transcript, protein structures and the like), thereby demanding the use of
parallel and distributed computing for facing Big Datasets and/or
high-throughput application requirements. Further, in such fields, data usually
encodes complex information, which is natively represented by structured
records, such as sequences, graphs and images, most of which lie in so-called
“non-metric spaces”, i.e. input spaces for which a meaningful (dis)similarity
measure might not be metric, making the problem more challenging since ad-hoc
(dis)similarity measures or embedding functions need to be defined.
This Special
Session aims at collecting the latest research in Computational Intelligence
applications for Bioinformatics and Computational Biology, with emphasis on
parallel/distributed computing and non-metric spaces analysis, by means of
different (or hybridization of) Computational Intelligence techniques, from
evolutionary meta-heuristics to neural computation, from pattern recognition to
fuzzy systems.
Topics of
interest include (but are not limited to):
- Protein function
prediction
- Protein folding prediction
- Generative models for
protein contact networks
- String kernel methods for
sequence classification
- Mining metabolic pathways
- Gene finding and
prediction
- Exact/inexact motifs and
pattern matching
- Network and Systems
Biology
- Granular computing
approaches for non-metric spaces analysis
- Large-scale data mining
and pattern recognition
- Distributed and parallel
computing systems for machine learning and data mining
- Clinical Diagnostic
Systems
- Medical image analysis
Organizers
Antonello Rizzi
Antonello
Rizzi received the Ph.D. in Information and Communication Engineering in 2000,
from the University of Rome “La Sapienza”. In September 2000, he joined the
INFO-COM Dpt., as an Assistant Professor. Since July 2010 he joined the
“Information Engineering, Electronics and Telecommunications” Dpt. (DIET), in
the same University. His major research interests are in the area of Soft
Computing, Pattern Recognition and Computational Intelligence, including
supervised and unsupervised data driven modeling techniques, neural networks,
fuzzy systems and evolutionary algorithms. His research activity concerns the
design of automatic modeling systems, focusing on classification, clustering,
function approximation and prediction problems. Currently, he is working on
different research topics and projects, such as Granular Computing, Data Mining
and Knowledge Discovery, Content Based Retrieval Systems, classification and
clustering systems for structured patterns, graph and sequence matching,
agent-based clustering, smart grids and micro-grids modeling and control,
intelligent systems for sustainable mobility, battery management systems. Since
2008, he serves as the scientific coordinator and technical director of the
R&D activities in the "Intelligent Systems Laboratory" within the
Research and Technology Transfer Center for Sustainable Mobility of Lazio Region.
He is the scientific coordinator of the "Computational Intelligence and
Pervasive Systems" Lab at DIET. Dr. Rizzi (co-)authored more than 140
international journal/conference papers and book chapters. He is a member of
IEEE.
Alessandro Giuliani
Alessandro
Giuliani was born in Roma, on February 14, 1959. He took his Laurea in Biological Sciences at University of Rome "La Sapienza"
score 110/110 cum laude (Academic
Year ‘81/’82) with a specialization in Statistics.
He serves as Senior Scientist at
Environment and Health Dept., Istituto Superiore di Sanità , Rome, Italy (1997 -
). He is Professor (on contract basis) at Pontifical Urbaniana University,
Rome.
Dr. Alessandro
Giuliani is involved since more than thirty years in the generation and testing
of soft physical and statistical models for life sciences. He puts a special
emphasis on the elucidation of mesoscopic complex systems like protein
sequence/structure prediction, complex network approaches, QSAR, Systems
Biology. He contributed (together with Prof. Zbilut and Prof. Webber) to the
development of Recurrence Quantification Analysis (RQA) data analysis
technique. He is the author of about 300 publications on peer-review journals
with an H-index = 38.
Authors’ Information
Papers submitted to this Special Session are reviewed according to the
same rules as the submissions to the regular sessions of WCCI 2018.
Authors who submit papers to this session are invited to mention it in the
form during the submission.
Submissions to Regular and Special Sessions follow identical format,
instructions, deadlines and procedures of the other papers.
More information can be found at
Important Dates
Paper Submission Deadline: 15
January 2018
Notification of Acceptance: 15
March 2018
Early Registration: 1
May 2018
WCCI 2018 Conference: 8
– 13 July 2018
No comments:
Post a Comment
Note: only a member of this blog may post a comment.