Información de la conferencia

iCMLDE 2019: International Conference on Machine Learning and Data Engineering

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Día de Entrega:
2019-09-29 Extended
Fecha de Notificación:
2019-10-07
Fecha de conferencia:
2019-12-02
Ubicación:
Taipei, Taiwan
Vistas: 17994   Seguidores: 5   Asistentes: 0

Solicitud de Artículos

iCMLDE 2019 (International Conference on Machine Learning and Data Engineering) is an academic conference held in Taipei, Taiwan on 2019-12-02. The paper submission deadline is 2019-09-29 (extended). Acceptance notifications are sent on 2019-10-07.

As an interdisciplinary international conference this conference welcomes ideas outside of the box, interdisciplinary collaborations as well as new topics for research which may be outside of mainstream. Conference Tracks (It will of course welcome papers on but by no means restricted to in existing disciplines, e.g.) Artificial Intelligence (A. I.) A.I. in Music, Art and Leisure Explainable A.I. Computer Vision Genetic and Evolutionary Computation Machine Learning and Data Mining Medical and Health Applications of Computers, Mathematical Algorithms and A.I. Artificial Neural Networks Deep Learning Reinforcement Learning Pattern Recognition Fuzzy Logic, Learning Theory Reasoning with incomplete data Set Theory; Probabilistic Approaches Computing Paradigms Affective Computing Computer Graphics Biometrics Aqua Farm Low- Level Vision and Image processing Motion and Tracking Robotics Phase Array Antennae Applications of Radar Statistical Methods Testing and Performance Evaluation Biomedical Image Analysis Video Analysis and Event Recognition Signal Processing Support Vector Machine Bayesian Belief Networks Data Classification and Regression Denoising Functional Recovery Interpretation and Approximation Spectral and Area Based Methods Data and Image Compression Data Science and Big Data Cloud Computing High Performance Computing Scalable Computing Computations on GPU Information Retrieval Cyber Security and Privacy for Big Data Cyber-attacks Cyber Security Knowledge Discovery, Integration and Transformation Social Epidemiology, algorithms in Neuroscience Neuro-psychoanalysis Social Media, Social Network and Social Data Classification of Diseases Cladistics Genomic Sequencing Developmental Biology Origin of Life
Última actualización por Dou Sun el

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CCFNombre CompletoFactor de ImpactoEditorISSN
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