학회 정보

ESANN 2027: European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning

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투고 마감일:
2026-11-18 14일 남음
통보일:
2027-01-22
개최일:
2027-04-21
개최지:
Bruges, Belgium
개최 횟수:
캘린더에 추가: Google 캘린더 · Outlook / Apple (.ics)
ICORE: B   조회: 22171   팔로우: 6   참가: 1
마감 카운트다운 배지 삽입
ESANN
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회반 지수 (CP-I)

66.5 / 100
전체 5,768개 중 419위 · 상위 8%

인공지능·기계학습 분야 753개 중 31위

학술적 인정 (35%)
72
투고 선별성 (20%) 데이터 없음 — 중립 기준값 50점으로 계산 —
개최 횟수 (20%)
96
커뮤니티 관심도 (10%)
37
공개 자료 충실도 (15%)
55

사용한 입력: 수록 등급: ICORE B · 확인되는 개최 횟수: 35 · 회반에서 팔로우 중인 연구자: 6명 · 지난 24개월 동안 이 페이지를 연 연구자: 11명

공개 자료에서 빠진 항목: 역대 게재율 (+4.5) · 최우수 논문 기록 (+2.3)
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신뢰도 80% — 점수 중 중립 기준값이 아니라 실제 관측된 데이터에 근거한 비율. 이 점수는 어떻게 계산되나 · 전체 순위 보기 · 알고리즘 버전 1.2 · 산출일 2026-11-04

논문 모집

ESANN 2027 (European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning) is a ICORE B conference held in Bruges, Belgium on 2027-04-21. The paper submission deadline is 2026-11-18. Acceptance notifications are sent on 2027-01-22.

Scope and topics Since its first happening in 1993, the European Symposium on Artificial Neural Networks has become the reference for researchers on fundamentals and theoretical aspects of artificial neural networks, computational intelligence, machine learning and related topics. Each year, around 100-150 specialists attend ESANN, in order to present their latest results and comprehensive surveys, and to discuss the future developments in this field. The ESANN 2027 conference will follow this tradition, while adapting its scope to the recent developments in the field. The ESANN conferences cover artificial neural networks, machine learning, statistical information processing, and computational intelligence. The central topics of the conferences are the mathematical foundations, algorithms, and ML-AI tools and methodologies for generic use. Applications are not a central focus of the conference; application-oriented papers will only be considered if the scope of possible applications is of generic interest to a large proportion of ESANN participants. Due to the high volume of submissions to AI and machine learning conferences nowadays (including ESANN), a preliminary filter will be applied to submissions before they are sent for review. Therefore, some submissions may be desk-rejected, including those that do not sufficiently align with the scope or expectations of ESANN papers or the interests of participants (regardless of scientific quality). Desk-rejected papers will not be provided with scientific reviews. Authors must be aware of this possibility and adhere to the conditions when submitting their paper. The following is a non-exhaustive list of machine learning, computational intelligence and artificial neural networks topics covered during the ESANN conferences: Neural networks; Deep learning; Kernel machines; Signal processing and modeling; Transfer learning; Graphical models, EM and Bayesian learning; Classification and clustering; Vector quantization and self-organizing maps; Recurrent networks and dynamical systems; Time series forecasting; Single- and zero-shot learning; Ensemble learning; Feature selection; Graphs and networks: Nonlinear dimensionality reduction; manifold learning; Statistical and mathematical aspects of learning; Trustworthy AI; Image processing; Data mining; Machine learning for signal processing; Multimodal interfaces and multichannel processing; Vision and sensory systems; Data visualization; Identification of non-linear dynamical systems; Machine learning for healthcare; Evolutionary computation for machine learning; Bioinformatics; Bio-inspired systems; Brain-computer interfaces Papers will be presented orally (single track) and in poster sessions; all posters will be complemented by a short oral presentation during a plenary session. The selection of papers will differentiate between oral and posters presentations according to the topics, and not to the level of quality.
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관련 학회

관련 저널

CCF정식 명칭영향력 지수출판사ISSN
BNeural Networks7.2Elsevier0893-6080
BMachine Learning2.9Springer0885-6125
Optical Memory and Neural Networks0.8Springer1060-992X
Computational Social NetworksSpringer2197-4314
The European Journal on Artificial Intelligence1.0IOS Press3050-4554
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

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