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ICMLA 2026: International Conference on Machine Learning and Applications

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ICMLA
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투고 마감일:
2026-05-15
통보일:
2026-06-15
개최일:
2026-10-05
개최지:
Rochester, Michigan, USA
개최 횟수:
25
ICORE: C   QUALIS: B2   조회: 47099   팔로우: 44   참가: 12

회반 지수 (CP-I)

62.3 / 100
전체 5,682개 중 522위 · 상위 10%

인공지능·기계학습 분야 739개 중 40위

학술적 인정 (35%)
68
투고 선별성 (20%) 데이터 없음 — 중립 기준값 50점으로 계산 —
개최 횟수 (20%)
88
커뮤니티 관심도 (10%)
57
공개 자료 충실도 (15%)
35

사용한 입력: 수록 등급: ICORE C, QUALIS B2 · 확인되는 개최 횟수: 25 · 회반에서 팔로우 중인 연구자: 44명 · 지난 24개월 동안 이 페이지를 연 연구자: 14명

공개 자료에서 빠진 항목: 역대 게재율 (+4.5) · 역대 회차 (+3.0) · 최우수 논문 기록 (+2.3)
주최자는 학회를 인증 신청한 뒤 이 페이지에서 바로 추가할 수 있습니다. 점수는 매일 밤 다시 계산됩니다. 이 점수를 올리는 방법

신뢰도 80% — 점수 중 중립 기준값이 아니라 실제 관측된 데이터에 근거한 비율. 이 점수는 어떻게 계산되나 · 전체 순위 보기 · 알고리즘 버전 1.1 · 산출일 2026-09-20

논문 모집

ICMLA 2026 (International Conference on Machine Learning and Applications) is a ICORE C / QUALIS B2 conference held in Rochester, Michigan, USA on 2026-10-05. The paper submission deadline is 2026-05-15. Acceptance notifications are sent on 2026-06-15.

ICMLA 2026 aims to bring together researchers and practitioners to present their latest achievements and innovations in the area of machine learning (ML). The conference provides a leading international forum for the dissemination of original research in ML, with emphasis on applications as well as novel algorithms and systems. Following the success of previous ICMLA conferences, the conference aims to attract researchers and application developers from a wide range of ML related areas, and the recent emergence of Big Data processing brings an urgent need for machine learning to address these new challenges. The conference will cover both machine learning theoretical research and its applications. Contributions describing machine learning techniques applied to real-world problems and interdisciplinary research involving machine learning, in fields like medicine, biology, industry, manufacturing, security, education, virtual environments,games, are especially encouraged. Contributions describing applications of machine learning (ML)techniques to real-world problems, interdisciplinary research involving machine learning, experimental and/or theoretical studies yielding new insights into the design of ML systems, and papers describing development of new analytical frameworks that advance practical machine learning methods are especially encouraged. The technical program will consist of, but is not limited to, the following topics of interest: statistical learning neural network learning learning through fuzzy logic learning through evolution (evolutionary algorithms) reinforcement learning multi-strategy learning cooperative learning planning and learning multi-agent learning online and incremental learning scalability of learning algorithms inductive learning inductive logic programming Bayesian networks support vector machines case-based reasoning machine learning for bioinformatics and computational biology multi-lingual knowledge acquisition and representation grammatical inference knowledge acquisition and learning knowledge discovery in databases knowledge intensive learning knowledge representation and reasoning machine learning and information retrieval machine learning for web navigation and mining learning through mobile data mining text and multimedia mining through machine learning distributed and parallel learning algorithms and applications feature extraction and classification theories and models for plausible reasoning computational learning theory cognitive modeling deep and transfer learning federated learning machine learning on the edge machine learning for computer vision hybrid learning algorithms Applications of machine learning in: medicine, health, bioinformatics and systems biology industrial and engineering applications security applications smart cities and autonomous driving game playing and problem solving intelligent virtual environments economics, business and forecasting applications, etc.
최종 수정: Dou Sun ()

관련 학회

CCFICORECP-I약칭정식 명칭투고 마감개최일
AA*92.4SIGIRInternational Conference on Research and Development in Information Retrieval2026-01-152026-07-20
AA*97.7AAAIAAAI Conference on Artificial Intelligence2026-07-212027-02-16
AA*91.2CVPRIEEE Conference on Computer Vision and Pattern Recognition2025-11-062026-06-03
BA*89.7ICRAInternational Conference on Robotics and Automation2026-09-152027-05-24
BA*94.1IJCAIInternational Joint Conference on Artificial Intelligence2026-01-312026-08-15
AA*89.3STOCACM Symposium on Theory of Computing2025-11-042026-06-22
C87.3ICCInternational Conference on Communications2026-10-022027-05-30
CB62.6IJCNNInternational Joint Conference on Neural Networks2027-01-312027-06-14
B91.2ICASSPInternational Conference on Acoustics, Speech and Signal Processing2026-09-162027-05-16
BA*79.5PODSACM SIGMOD Conference on Principles of DB Systems2026-12-032027-06-13

관련 저널

CCF정식 명칭영향력 지수출판사ISSN
BMachine Learning2.9Springer0885-6125
CMachine Vision and Applications2.3Springer0932-8092
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

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