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• BAFI 2018
  Statistical Learning Theory Online Learning, Data Stream Mining, and Dynamic Data Mining
  2 KB (205 words) - 12:56, 3 September 2017
• ICPRAI 2018
  •Track 3: Artificial Intelligence, machine learning, neural networks, SVM, deep learning and classification techniques, language processing, semantic analysis,
  2 KB (240 words) - 13:40, 3 September 2017
• SI-SoftMM 2017 : Special Issue on Soft Computing Techniques and Applications on MM Data Analyzing Systems-- Springer Journal of Multimedia Tools and Applications
  knowledge learning. Probabilistic reasoning is used to solve probability inference model imitate human process data, knowledge learning and
  4 KB (598 words) - 09:58, 21 August 2017
• JOE ASPBI 2018 : Journal of Engineering Advanced Signal Processing in Biomedical Imaging
  learning in biomedical imaging and image analysis) Deep learning methods (convolutional neural network, autoencoder, deep belief
  3 KB (346 words) - 09:58, 21 August 2017
• ICPE 2018
  * Big data systems, deep-learning systems, and other data analytics
  11 KB (1,364 words) - 13:23, 3 September 2017
• ICDIS 2018 : 2018 First International Conference on Data Intelligence and Security
  · Small-samples machine learning · Deep learning
  4 KB (484 words) - 10:00, 21 August 2017
• ITNEC 2017
  e-Learning and MOOCs Deep Learning and Urban Computing
  2 KB (269 words) - 11:57, 3 September 2017
• ICSC 2018
  ...data, image and video, audio and speech, big data, natural language, deep learning
  12 KB (1,578 words) - 14:54, 24 September 2020
• IVPAI2018
  Deep learning for Images and Video Machine learning technologies for vision
  3 KB (379 words) - 04:24, 1 February 2018
• CIKM 2018
  ...lysis algorithms, event detection and tracking, deep neural networks, deep learning)
  4 KB (546 words) - 14:37, 3 August 2023
• COLT 2019
  |Title=32nd Annual Conference on Learning Theory |Field=Theoretical Aspects of Machine Learning and Related Topics
  3 KB (430 words) - 14:33, 9 April 2020
• BIS 2019
  *Deep Neural Networks for driver identification using accelerometer signals from *Machine learning for engineering processes
  7 KB (917 words) - 18:07, 17 March 2020
• NIPS 2018
  |Field=Artificial Intelligence,Neural Information Processing Systems,Deep Learning
  781 bytes (86 words) - 18:24, 12 February 2020
• ICSC 2019
  * deep learning
  2 KB (238 words) - 18:42, 7 March 2020
• Montreal Institute for Learning Algorithms
  |Title=Montreal Institute for Learning Algorithms |Field=Deep Learning
  1 KB (192 words) - 11:10, 6 September 2019
• ALT 2020
  |Title=31st International Conference on Algorithmic Learning Theory * Design and analysis of learning algorithms.
  1 KB (156 words) - 15:01, 4 March 2021
• ICMR 2020
  * Deep learning for multimedia retrieval * Learning and relevance feedback in multimedia retrieval
  2 KB (251 words) - 14:17, 26 August 2020
• I3D 2020
  * Deep learning for graphics and simulation
  1 KB (133 words) - 11:23, 13 May 2020
• ICDSC 2019
  * Machine learning in distributed camera networks * Deep learning on embedded systems
  1 KB (163 words) - 11:38, 13 May 2020
• ALT 2019
  |Title=30th International Conference on Algorithmic Learning Theory * Design and analysis of learning algorithms.
  1 KB (170 words) - 09:05, 17 April 2020

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