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AISSA 2026: International Conference on Artificial Intelligence Centric Systems, Services, and Applications

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AISSA
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투고 마감일:
2026-09-10 오늘 마감
통보일:
2026-11-01
개최일:
2026-12-08
개최지:
San Antonio, Texas, USA
조회: 478   팔로우: 0   참가: 0

회반 지수 (CP-I)

44.5 / 100
전체 5,658개 중 2,929위 · 상위 52%

인공지능·기계학습 분야 737개 중 330위

근거가 제한적입니다: 이 학회는 CCF / ICORE / QUALIS 어디에도 수록되어 있지 않고 게재율 데이터도 없어, 점수의 대부분이 중립 기준값으로 되돌아갑니다.
학술적 인정 (35%) 데이터 없음 — 중립 기준값 50점으로 계산 —
투고 선별성 (20%) 데이터 없음 — 중립 기준값 50점으로 계산 —
개최 횟수 (20%) 데이터 없음 — 중립 기준값 50점으로 계산 —
커뮤니티 관심도 (10%)
17
공개 자료 충실도 (15%)
35

사용한 입력: 지난 24개월 동안 이 페이지를 연 연구자: 9명

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 25% — 점수 중 중립 기준값이 아니라 실제 관측된 데이터에 근거한 비율. 이 점수는 어떻게 계산되나 · 전체 순위 보기 · 알고리즘 버전 1.1 · 산출일 2026-09-10

논문 모집

AISSA 2026 (International Conference on Artificial Intelligence Centric Systems, Services, and Applications) is an academic conference held in San Antonio, Texas, USA on 2026-12-08. The paper submission deadline is 2026-09-10. Acceptance notifications are sent on 2026-11-01.

Artificial Intelligence (AI) systems are computational frameworks designed to perform tasks that typically require human intelligence, such as learning, reasoning, problem-solving, perception, and decision-making. These systems integrate algorithms, data, and computing power to enable machines to adapt and improve their performance over time. AI systems encompass a wide range of technologies, including machine learning, natural language processing, computer vision, and autonomous robotics, and they are increasingly applied in domains such as healthcare, finance, cybersecurity, transportation, and smart cities. As they continue to evolve, AI systems are not only transforming industries and enhancing human capabilities but also raising important considerations around ethics, transparency, and trustworthiness. The International Conference on Artificial Intelligence Centric Systems, Services, and Applications (AISSA 2026) aims to bring together leading researchers, academics, and practitioners from around the world to share their latest findings, innovations, and applications in Artificial Intelligence and intelligent systems. AISSA 2026 provides a premier interdisciplinary platform for presenting advances and exchanging insights on the theoretical foundations, cutting-edge technologies, and real-world implementations of AI. AISSA 2026 will feature keynote talks, technical paper sessions, workshops, and tutorials covering a wide range of AI topics. We invite submissions of high-quality research papers describing original and unpublished results in all areas of Artificial Intelligence Systems. addresses the use of advanced intelligent systems in providing cybersecurity solutions in many fields, and the challenges, approaches, and future directions. We invite the submission of original papers on all topics related to Intelligent Systems with special interest in but not limited to: Machine Learning and Data-Driven Systems Deep Learning, Representation Learning, and Transfer Learning Reinforcement Learning and Adaptive Systems Federated, Distributed, and Edge AI Reinforcement Learning and Autonomous Agents Federated Learning and Distributed AI Systems AI Applications and Intelligent Systems Scalable and High-Performance AI Architectures Edge AI, Cloud AI, and Embedded Intelligence Optimization and Resource-Aware AI Systems Natural Language and Multimodal AI Natural Language Processing and Understanding Speech Recognition and Conversational Agents Multimodal Learning and Vision-Language Systems Knowledge Representation and Reasoning Data Mining, Knowledge Discovery, and Information Retrieval Automated Planning and Scheduling Generative AI, Foundation Models, and Large Language Models Generative AI and Large Language Models (LLMs) Explainable and Responsible AI Federated, Distributed, and Edge AI Reinforcement Learning and Autonomous Agents AI for Decision Support Systems Natural Language Processing and Computational Linguistics Multilingual and Low-Resource Language Models Human-Computer Interaction (HCI) and Assistive Technologies Conversational AI and Dialogue Systems Computational Language and Human-Centered Systems Prompt Engineering and Fine-tuning Multimodal LLMs Agentic AI Computer Vision, Image and Video Processing Image and Video Understanding Object Detection, Recognition, and Tracking Multimodal Learning and Vision-Language Systems 3D Vision and Scene Understanding Affective Computing and Emotion Recognition Artificial Intelligence Applications Robotics and Autonomous Systems AI for Healthcare, Smart Cities, and Transportation AI in Finance, Education, and Industry 4.0 AI for Cybersecurity, Privacy, and Digital Trust AI Infrastructure and Engineering Recommender Systems and Personalization AI for Social Good and Humanitarian Applications Emerging Trends and Future Directions in AI Systems Artificial Intelligence Security Responsible and Trustworthy AI Explainable AI and Transparency Ethical and Societal Implications of AI AI Safety, Robustness, and Security AI Policy, Regulation, and Governance
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AA*97.7AAAIAAAI Conference on Artificial Intelligence2026-07-212027-02-16
AA*91.1CVPRIEEE Conference on Computer Vision and Pattern Recognition2025-11-062026-06-03
BA*89.7ICRAInternational Conference on Robotics and Automation2026-09-152027-05-24
BA*94.0IJCAIInternational Joint Conference on Artificial Intelligence2026-01-312026-08-15
AA*89.3STOCACM Symposium on Theory of Computing2025-11-042026-06-22
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관련 저널

CCF정식 명칭영향력 지수출판사ISSN
CEngineering Applications of Artificial Intelligence9.0Elsevier0952-1976
Human-centric Computing and Information SciencesSpringer2192-1962
Journal of Internet Services and ApplicationsSpringer1869-0238
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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