Conference Information

IWANN 2027: International Work Conference on Artificial Neural Networks

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Submission Date:
Notification Date:
Conference Date:
2027-06-14
Location:
Puerto de la Cruz, Tenerife, Spain
Years:
QUALIS: B2   Viewed: 30213   Tracked: 19   Attend: 4

Conference Partner Index (CP-I)

62.3 / 100
Ranked #523 of 5,680 conferences · Top 10%

#41 of 739 in Artificial Intelligence & Machine Learning

Academic recognition (35%)
68
Submission selectivity (20%) No data - scored at the neutral baseline of 50
Editions held (20%)
81
Community attention (10%)
41
Public record completeness (15%)
55

Inputs used: Listed as QUALIS B2 · Editions on record: 19 · Researchers following it here: 19 · Researchers who opened this page in the past 24 months: 4

Missing from the public record: Historical acceptance rates (+4.5) · 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 80% - 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 2026-09-12

Call For Papers

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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