Conference Information

IComputation 2019: IEEE Symposium on Immune Computation

Please Login to view website of conference
Free account: view official websites, track deadlines, and get email reminders.
Submission Date:
2019-07-10
Notification Date:
2019-09-01
Conference Date:
2019-12-06
Location:
Xiamen, China
Viewed: 12940   Tracked: 0   Attend: 0
Embed deadline badge
IComputation
Get this via API
Search and ranking lists need no credentials at all; full detail for this page needs a free API key. See the developer guide.

Conference Partner Index (CP-I)

42.1 / 100
Ranked #4,158 of 5,693 conferences · Top 74%
Limited evidence: this conference is not listed in CCF / ICORE / QUALIS and has no acceptance-rate data on file, so most of the score falls back to the neutral baseline.
Academic recognition (35%) No data - scored at the neutral baseline of 50 —
Submission selectivity (20%) No data - scored at the neutral baseline of 50 —
Editions held (20%) No data - scored at the neutral baseline of 50 —
Community attention (10%)
8
Public record completeness (15%)
25

Inputs used: Researchers who opened this page in the past 24 months: 2

Missing from the public record: Historical acceptance rates (+4.5) · Past editions (+3.0) · Best-paper records (+2.3)
Organizers can add these from this page after claiming the conference; scores are recomputed nightly. How to raise this score

Confidence 25% - the share of the score backed by observed data rather than the neutral baseline. How this score is calculated · Browse the ranking · Algorithm version 1.1 · Computed 2026-10-05

Call For Papers

IComputation 2019 (IEEE Symposium on Immune Computation) is an academic conference held in Xiamen, China on 2019-12-06. The paper submission deadline is 2019-07-10. Acceptance notifications are sent on 2019-09-01.

The 2019 IEEE Symposium on Immune Computation (IEEE IComputation 2019) is a part of the IEEE Symposium Series of Computational Intelligence (IEEE SSCI 2019). Immune Computation is a fast developing research area in the computational intelligence community, inspired by the information processing mechanism of biological immune system. Many of these algorithms are built on solid theoretical foundations, through understanding mathematical models and computational simulation of aspects of the immune system. The scope of this research area ranges from modeling to simulation of the immune system, to the development of novel engineering solutions to complex problems, and bridges several disciplines to provide new insights into immunology, computer science, mathematics and engineering. The aims of this symposium are: (1) to present the state-of-the-art research on immune computation; (2) to provide a forum to disseminate their recent advances and views on future perspectives in the field; (3) to offer new conceptual models for understanding the dynamics that underlie the immune system, and (4) to provide a unique event where computer scientists, engineers, immunologists, biologists, physicists, etc., may compare to each other their expertises in an interdisciplinary vision. Topics The topics of IEEE IComputation 2019 include two aspects. First, contributions on immune algorithms and applications are very welcome. Second, contributions on modeling biological immune systems are also welcome, but potential uses for developing computationally intelligent systems should be clearly stated. Topics of interest include, but are not limited to: Immune algorithms and applications: Immune-based security techniques Immune-based privacy protection schemes Negative/positive selection algorithms Clonal selection algorithms Immune network algorithms Dendritic cell algorithms Negative databases and applications Negative surveys and applications Theoretical aspects of immune inspired algorithms Immune algorithms for optimization Immune algorithms for pattern recognition Immune algorithms for robotics and control Immune algorithms for fault diagnosis Immune-based data mining techniques Novel algorithms and new immune operators Benchmarking immune inspired algorithms against other techniques Empirical and theoretical investigations into performance and complexity of immune inspired algorithms Hybridization of immune inspired algorithms with other techniques Modeling of biological immune system: Modeling of immune learning and memory Modeling of immune system response Modeling of immune cells and antibodies Modeling of viruses or cancers Immune network models Self/nonself models Systems & synthetic immunology Cellular immunology Vaccine design Immune medicine Chemistry immunology Multi-agent based models of immunity Security modeling of biological immune system Computer simulations of biological immune system
Last updated by Dou Sun on

Related Conferences

Related Journals

CCFFull NameImpact FactorPublisherISSN
ComputationMDPI2079-3197
AIEEE Transactions on Multimedia9.7IEEE1520-9210
CKnowledge-Based Systems7.2Elsevier0950-7051
BSoftware & Systems Modeling3.2Springer1619-1366
AIEEE Transactions on Computers3.8IEEE0018-9340
CFuture Generation Computer Systems5.9Elsevier0167-739X
CNeurocomputing6.5Elsevier0925-2312
CPattern Recognition Letters3.9Elsevier0167-8655
BPattern Recognition7.6Elsevier0031-3203
IEEE Access3.6IEEE2169-3536

Comments 0

No comments yet.

Please Login to post a comment