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IWANN 2027: International Work Conference on Artificial Neural Networks

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会议日期:
2027-06-14
会议地点:
Puerto de la Cruz, Tenerife, Spain
届数:
QUALIS: B2   浏览: 30325   关注: 19   参加: 4

会伴指数 (CP-I)

62.3 / 100
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学术认可 (35%)
68
投稿选择性 (20%) 无数据 —— 按中性基准 50 分计入 —
会议传承 (20%)
81
社区关注 (10%)
41
资料公开度 (15%)
55

用到的输入: 收录等级：QUALIS B2 · 有据可查的届次：19 · 在会伴关注它的研究者：19 人 · 过去 24 个月打开过本页的研究者：4 人

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主办方认领本会议后，可直接在这一页补上；分数每晚重算。如何提升这个分数

置信度 80% —— 分数中有多大比例来自实际观测到的数据，而不是中性基准。 这个分数是怎么算出来的 · 查看完整榜单 · 算法版本 1.1 · 算于 2026-09-21

征稿

IWANN 2027 (International Work Conference on Artificial Neural Networks) is a QUALIS B2 conference held in Puerto de la Cruz, Tenerife, Spain on 2027-06-14.

On behalf of the Organizing Committee of the International Work-Conference on Artificial Neural Networks (IWANN 2027), we are pleased to invite you to participate in this event that will be held in June 2027 in Puerto de la Cruz, Tenerife (Spain). This will be the 19th edition of IWANN, following on from an uninterrupted sequence of a staggering 36 years. This biennial meeting seeks to provide a discussion forum for scientists, engineers, educators and students about the latest discoveries and realizations in the foundations, theory, models and applications of systems inspired by nature, as well as in emerging areas related to the above items, using computational intelligence methodologies. As in previous editions, we strongly emphasize the wide range of topics comprised under the umbrella of IWANN2027, from which we present a non-exhaustive list of areas of interest for the congress to get a flavour of IWANN27’s orientation: Mathematical and theoretical methods in computational intelligence Deep Learning Learning and adaptation Emulation of cognitive functions Bio-inspired systems and neuro-engineering Advanced topics in computational intelligence Agent based models Time series forecasting Robotics and cognitive systems Interactive systems and BCI Machine Learning for 4.0 industry solutions AI Health AI in 5G technology Social and Ethical aspects of AI General Applications of AI The approach will be both theoretical and practical, through invited talks, tutorials, workshops, posters, presentation of demos and functional prototypes. Besides, we offer the possibility to carry out a limited number of virtual presentations for those who want to participate but have serious difficulties to travel. The proceedings will include all the presented communications to the conference. As in previous editions of IWANN, we are arranging the publication of the proceedings with Springer-Verlag as Lecture Notes in Computer Science (LNCS) series, and the books will be available shortly after the Congress in order to allow the authors to incorporate suggestions and improvements from the presentations. It is also foreseen the publication of extended versions of selected papers in special issues of several prestigious journals. Previous congresses led to special issues of Neural Computing and Applications, PLoS One, PeerJ Computer Science, and Neural Processing Letters. We are working to have at least the same collaborations.
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CCF全称影响因子出版商ISSN
BNeural Networks7.2Elsevier0893-6080
Cognition, Technology & Work3.4Springer1435-5558
Optical Memory and Neural Networks0.8Springer1060-992X
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

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