This article has multiple issues. Please help improve it or discuss these issues on the talk page . (Learn how and when to remove these template messages)
|
International Conference on Computational Intelligence Methods for Bioinformatics and Biostatistics | |
---|---|
Genre | Scientific conference |
Begins | 4 September 2024 |
Ends | 6 September 2024 |
Frequency | yearly |
Location(s) | Various |
Years active | 19 |
Inaugurated | CIBB 2004, Perugia, Italy |
Previous event | CIBB 2023, Padua, Italy, EU |
Next event | CIBB 2024, Benevento, Italy, EU |
Organised by | Yearly local organizing committees, and members of the European Neural Network Society and IEEE Computational Intelligence Society |
Website | www |
The International Conference on Computational Intelligence Methods for Bioinformatics and Biostatistics (CIBB) is a yearly scientific conference focused on machine learning and computational intelligence applied to bioinformatics, biostatistics, and medical informatics.
The CIBB conferences are typically organized by members of the IEEE Computational Intelligence Society (IEEE CIS) and the International Neural Network Society (INNS), among others. Their main themes are machine learning, data mining, and computational intelligence algorithms applied to biological and biostatistical problems.
The CIBB conference was originally started by Francesco Masulli (Università di Genova), Antonina Starita (Università di Pisa), and Roberto Tagliaferri (Università di Salerno) as a special session within other international conferences held in Italy: the 14th Italian Workshop on Neural Networks (2004), the 6th International Workshop on Fuzzy Logic and Applications (2005), the 7th International Fuzzy Logic and Intelligent Technologies in Nuclear Science Conference on Applied Artificial Intelligence (2006), and the 7th International Workshop on Fuzzy Logic and Applications (2007). Because of the broad participation of researchers to the CIBB special session at the latter meeting, which included twenty-six submitted papers, the CIBB steering committee decided to turn CIBB into an autonomous conference starting with the 2008 edition in Vietri sul Mare, Italy. [1]
During their first editions, the CIBB conferences were organized and attended mainly by Italian researchers at various academic locations throughout Italy. As international audience and importance of the conference grew, following editions moved outside Italy. The 2012 CIBB conference was held for the first time outside Europe, in Houston, Texas.
The conference is a single track meeting that includes invited talks as well as oral and poster presentations of refereed papers. It usually lasts three days in September, and traditionally includes some special sessions about the application of computational intelligence to specific aspects of biology (for example, the "Special session on machine learning in health informatics and biological systems" at CIBB 2018, [2] ) and occasionally some tutorials.
At the 2011 conference edition in Gargnano, the scientific committee gave a young researcher best paper award. [3] [4]
Proceedings of the conferences are published as a book series by Springer Science+Business Media, [5] whereas selected papers are published in journals such as BMC Bioinformatics and BMC Medical Informatics and Decision Making . [6]
Future:
Past:
The expression computational intelligence (CI) usually refers to the ability of a computer to learn a specific task from data or experimental observation. Even though it is commonly considered a synonym of soft computing, there is still no commonly accepted definition of computational intelligence.
Biomedical text mining refers to the methods and study of how text mining may be applied to texts and literature of the biomedical domain. As a field of research, biomedical text mining incorporates ideas from natural language processing, bioinformatics, medical informatics and computational linguistics. The strategies in this field have been applied to the biomedical literature available through services such as PubMed.
Vasant G. Honavar is an Indian-American computer scientist, and artificial intelligence, machine learning, big data, data science, causal inference, knowledge representation, bioinformatics and health informatics researcher and professor.
The International Conference on Bioinformatics (InCoB) is a scientific conference on bioinformatics aimed at scientists in the Asia Pacific region. It has been held annually since 2002. Originally organised by coordination between the Asia Pacific Bioinformatics Network (APBioNet) and the Thailand National Center for Genetic Engineering and Biotechnology (BIOTEC) in 2002, the meeting has since been the flagship conference of the APBioNet, where APBioNet's Annual General Meeting is held.
Jack Y. Yang is an American computer scientist and biophysicist. As of 2011, he is the editor-in-chief of the International Journal of Computational Biology and Drug Design.
The European Master's Program in Computational Logic (EMCL) was a two years joint MSc programme offering a joint degree between four European universities as a part of the Erasmus Mundus co-operation and mobility programme. So far, this programme had more than 130 students.
Informatics is the study of computational systems. According to the ACM Europe Council and Informatics Europe, informatics is synonymous with computer science and computing as a profession, in which the central notion is transformation of information. In some cases, the term "informatics" may also be used with different meanings, e.g. in the context of social computing, or in context of library science.
Lawrence E. Hunter is a Professor and Director of the Center for Computational Pharmacology and of the Computational Bioscience Program at the University of Colorado School of Medicine and Professor of Computer Science at the University of Colorado Boulder. He is an internationally known scholar, focused on computational biology, knowledge-driven extraction of information from the primary biomedical literature, the semantic integration of knowledge resources in molecular biology, and the use of knowledge in the analysis of high-throughput data, as well as for his foundational work in computational biology, which led to the genesis of the major professional organization in the field and two international conferences.
The European Society for Fuzzy Logic and Technology (EUSFLAT) is a scientific association with the aims to disseminate and promote fuzzy logic and related subjects (sometimes comprised under the collective terms soft computing or computational intelligence) and to provide a platform for exchange between scientists and engineers working in these fields. The society is both open for academic and industrial members.
Pattern Recognition in Bioinformatics (PRIB) was an international computer science conference covering pattern recognition algorithms in bioinformatics and computational biology. It was also the major event of Technical Committee 20 of the International Association for Pattern Recognition (IAPR), and has been held annually from 2006 to 2014 around the world. The articles appearing in the PRIB conference proceedings were published in Lecture Notes in Bioinformatics by Springer Science+Business Media.
Jason H. Moore is a translational bioinformatics scientist, biomedical informatician, and human geneticist, the Edward Rose Professor of Informatics and Director of the Institute for Biomedical Informatics at the Perelman School of Medicine at the University of Pennsylvania, where he is also Senior Associate Dean for Informatics and Director of the Division of Informatics in the Department of Biostatistics, Epidemiology, and Informatics.
Translational bioinformatics (TBI) is a field that emerged in the 2010s to study health informatics, focused on the convergence of molecular bioinformatics, biostatistics, statistical genetics and clinical informatics. Its focus is on applying informatics methodology to the increasing amount of biomedical and genomic data to formulate knowledge and medical tools, which can be utilized by scientists, clinicians, and patients. Furthermore, it involves applying biomedical research to improve human health through the use of computer-based information system. TBI employs data mining and analyzing biomedical informatics in order to generate clinical knowledge for application. Clinical knowledge includes finding similarities in patient populations, interpreting biological information to suggest therapy treatments and predict health outcomes.
This glossary of artificial intelligence is a list of definitions of terms and concepts relevant to the study of artificial intelligence, its sub-disciplines, and related fields. Related glossaries include Glossary of computer science, Glossary of robotics, and Glossary of machine vision.
Computational History, sometimes also called Histoinformatics, is a multidisciplinary field that studies history through machine learning and other data-driven, computational approaches.
Amir Hussain is a cognitive scientist, the director of Cognitive Big Data and Cybersecurity (CogBID) Research Lab at Edinburgh Napier University He is a professor of computing science. He is founding Editor-in-Chief of Springer Nature's internationally leading Cognitive Computation journal and the new Big Data Analytics journal. He is founding Editor-in-Chief for two Springer Book Series: Socio-Affective Computing and Cognitive Computation Trends, and also serves on the Editorial Board of a number of other world-leading journals including, as Associate Editor for the IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Systems, Man, and Cybernetics (Systems) and the IEEE Computational Intelligence Magazine.
Janusz Kacprzyk is a Polish engineer and mathematician, notable for his contributions to the field of computational and artificial intelligence tools like fuzzy sets, mathematical optimization, decision making under uncertainty, computational intelligence, intuitionistic fuzzy sets, data analysis and data mining, with applications in databases, ICT, mobile robotics and others.
Biomedical data science is a multidisciplinary field which leverages large volumes of data to promote biomedical innovation and discovery. Biomedical data science draws from various fields including Biostatistics, Biomedical informatics, and machine learning, with the goal of understanding biological and medical data. It can be viewed as the study and application of data science to solve biomedical problems. Modern biomedical datasets often have specific features which make their analyses difficult, including: