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  • ODBASE 2017
    data analytics and machine learning, social networks, distributed and mobile ...ig) data analytics, data mining, and machine learning (incl. semantic deep learning)
    6 KB (798 words) - 23:16, 24 February 2020
  • LAWCN 2017
    * Reinforcement learning * Learning and memory Attention
    14 KB (1,941 words) - 11:55, 8 August 2017
  • ICSESS 2017
    Machine Learning and Pattern Recognition Machine Learning and Neural Networks
    5 KB (673 words) - 09:53, 3 September 2017
  • MTAP-1083T 2017 : MTAP Special Issue on Data Preprocessing for Big Multimedia Data
    makes the learning of big multimedia data difficult as most of the current machine learning techniques and the requirements of our real life. In this case,
    3 KB (511 words) - 13:28, 28 July 2017
  • HPGDML 2017
    |Title=HPGDML 2017 : High Performance Graph Data Mining and Machine Learning Workshop HPGDML'17: High Performance Graph Data Mining and Machine Learning Workshop
    6 KB (860 words) - 11:52, 8 August 2017
  • TRAP 2017
    deep learning and classification.
    6 KB (824 words) - 09:04, 3 September 2017
  • EI--CCISP 2017 : EI--2017 2nd International Conference on Communication, Image and Signal Processing
    AI & Deep Learning
    2 KB (327 words) - 13:30, 28 July 2017
  • INNS-BDDL 2018
    |Title=3rd INNS Conference on Big Data and Deep Learning |Field=machine learning
    6 KB (824 words) - 19:42, 29 October 2020
  • SI BWild 2017 : Image and Vision Computing (IVC) Special Issue on Biometrics in the Wild
    |Field=machine learning • Deep learning approaches for unconstrained biometric recognition,
    3 KB (403 words) - 13:30, 28 July 2017
  • SCDS 2017
    Science is about learning from your data. Thus, with the advancement in computer experience in the area of machine learning in data science and analytics.
    4 KB (551 words) - 11:57, 8 August 2017
  • ACML 2017
    |Title=ACML 2017 : The 9th Asian Conference on Machine Learning The 9th Asian Conference on Machine Learning (ACML 2017) will take place on
    3 KB (347 words) - 11:52, 8 August 2017
  • DMCS 2017
    - Deep Learning for cyber security - Adversarial Machine Learning
    4 KB (626 words) - 09:30, 3 September 2017
  • LHNA@SITIS 2017 : Track Large, Heterogeneous Networks and their Applications (LHNA) at IEEE SITIS 2017
    • Deep Learning for IoS and Urban Computing
    4 KB (442 words) - 10:00, 21 August 2017
  • AAAI 2018
    ...obotics and perception, multiagent systems, statistical learning, and deep learning. We expressly encourage work that cuts across technical areas, or develops
    11 KB (1,589 words) - 18:03, 26 November 2020
  • DMIP 2017
    and machine learning. These methods are moving out of academic and high tech values in supervised learning, or acquiring the values of missing explanatory
    4 KB (589 words) - 14:05, 3 December 2020
  • MIRA 2017
    |Field=machine learning learning as well as their applications and services for the retrieval,
    5 KB (623 words) - 11:57, 8 August 2017
  • VSI: DL-Fusion 2018 : Special issue On “Deep Learning for Information Fusion” - Information Fusion (Elsevier)
    |Title=VSI: DL-Fusion 2018 : Special issue On “Deep Learning for Information Fusion” - Information Fusion (Elsevier) |Field=machine learning
    3 KB (364 words) - 13:19, 28 July 2017
  • MIPR 2018 : he First (2018) IEEE International Conference on Multimedia Information Processing and Retrieval (MIPR'18)
    * Relevance Feedback, Active/Transfer Learning Machine Learning/Deep Learning/Data Mining
    5 KB (654 words) - 09:58, 21 August 2017
  • CADS 2017
    * Architecture and Programming Support for Emerging Domains (Big Data, Deep * Learning)
    1 KB (178 words) - 10:05, 20 November 2020
  • WSDM 2018
    * Machine learning and deep networks for web search and data mining
    8 KB (1,069 words) - 08:17, 6 February 2020
  • 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
  • CENICS 2021
    ...radars; Signal processing for crowd dynamics; Small-scale prosumers; Deep learning in compressed sensing; Biometric authentifiers; Quantum cellular automata; Machine learning on FPGAs; Deep learning on FPGAs; Object detection; Neural networks; Reconfigurable kernels; Cloud
    5 KB (556 words) - 15:23, 14 January 2021
  • CoopIS 2019
    Topic 2: Machine Learning and Knowledge Reconstruction and Discovery: * Machine Learning
    2 KB (254 words) - 08:59, 14 April 2020
  • LION 2018
    |Title=12th International Conference on Learning and Intelligent Optimization The 12th International Conference on Learning and Intelligent Optimization (LION)
    3 KB (398 words) - 09:01, 22 July 2020
  • SIGNAL 2020
    ...ion, processing, and analysis; Compressive sensing (sparse sampling); Deep learning (graphical inference algorithms); High speed video acquisition, architectur ..., feature detections, bio-inspired techniques; Pattern recognition; Social learning models, Bayesian signal processing; Cognitive information processing; Biome
    10 KB (1,215 words) - 14:46, 19 April 2020
  • ICAS 2020
    ...antum-inspired optimization; Automated (industrial) assembly environments; Deep neural networks; Multimodal knowledge of the brain; Self-organization in M2 ...Intelligent robots; Self-reconfigurable mobile robots; Humanoid imitative learning; Robots in unknown environments; Human centric robots; Adjustable robust op
    16 KB (1,897 words) - 12:31, 18 May 2020
  • WEB 2020
    ...for the semantic Web; Online Web experiments; Web template extracting; Web deep browsing; Discovering Web content vulnerabilites; Ad hoc exploratory search ...; Sparse user-generated data; Human-centered entity linking; Transfer deep learning; Mobile Web cache; RDF data; Web private-preservation; Web vulnerabilities
    11 KB (1,390 words) - 12:35, 18 May 2020
  • RecSys 2019
    ...ning approaches to recommendation algorithms (deep learning, reinforcement learning, etc.)
    1 KB (141 words) - 07:08, 18 May 2020
  • ADMI 2017
    * Data-driven reasoning and learning * Deep learning for agent systems
    998 bytes (127 words) - 11:28, 26 August 2020
  • ISSCC 2019
    original approaches (such as Artificial Intelligence (AI) and Machine Learning (ML)), to new applications (such as wearable ...l systems for communications, video and multimedia, machine-learning, deep-learning, neuromorphism, cryptographics, security and trusted computing, special-fun
    6 KB (673 words) - 09:29, 6 May 2020
  • ISSCC 2018
    ...; systems for communications, video and multimedia, machine-learning, deep-learning, neuromorphism, cryptographics, special function acceleration, processing-i
    5 KB (629 words) - 09:36, 6 May 2020

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