ICMLA 2026 is an international conference that brings together researchers and practitioners to present their latest achievements and innovations in the area of machine learning. The conference provides a leading international forum for the dissemination of original research in machine learning, with emphasis on applications as well as novel algorithms and systems. ICMLA 2026 aims to attract researchers and application developers from a wide range of machine learning related areas, including those working on Big Data processing. The conference will cover both machine learning theoretical research and its applications, with a focus on 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, and games. Accepted papers will be submitted for inclusion into IEEE Xplore subject to meeting IEEE Xplore's scope and quality requirements. The conference is technically co-sponsored by IEEE. ICMLA 2026 will be organized with participants attending the conference in person, with each accepted paper presented by one of the registered authors. The conference provides a platform for the dissemination of original research in machine learning and its applications, and it is expected to attract a wide range of participants from various fields.
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