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  • ICMR 2019
    * Deep learning for multimedia retrieval * Learning and relevance feedback in multimedia retrieval
    3 KB (439 words) - 06:47, 17 April 2020
  • IPSN 2020
    ...communications, collaborative objects and the Internet of Things, machine learning, mobile and social sensing, and embedded systems design. Of special interes *Machine learning and deep learning on sensor data
    3 KB (412 words) - 09:52, 27 February 2020
  • IJCNN 2020
    * Learning vector quantization * Deep neural networks
    5 KB (574 words) - 15:58, 6 March 2020
  • MICAD2021
    ...ed diagnosis or related fields such as artificial intelligence and machine learning, to encourage growth, raising the profile of this multidisciplinary field w Machine learning including deep learning
    3 KB (362 words) - 08:13, 17 September 2020
  • ESWC 2020
    ...cessing, Databases and Information Systems, Information Retrieval, Machine Learning, Multimedia, Distributed Systems, Social Networks, Web Engineering, and Web 3rd Deep Learning for Knowledge Graphs (DL4KG2020) Workshop
    3 KB (394 words) - 13:28, 10 December 2020
  • ICLR 2020
    |Title=Eighth International Conference on Learning Representations |Field=machine learning, deep learning, learning
    2 KB (264 words) - 10:47, 12 May 2020
  • ER 2020
    *Conceptual Models and Machine Learning *Role of Conceptual Modeling in Social Networks, Mobile Computing, Deep Learning, Internet of Objects, Serious Games and Pedagogical Models, etc.
    5 KB (663 words) - 11:49, 18 February 2020
  • SEMANTiCS 2020
    * Enterprise Knowledge Graphs, Graph Data Management and Deep Semantics * Machine Learning & Deep Learning Techniques
    6 KB (872 words) - 14:00, 22 February 2020
  • SIGIR 2020
    * Retrieval Models and Ranking (e.g., ranking algorithms, learning to rank, language models, retrieval models, combining searches, diversity a Research bridging AI and IR, especially toward deep semantics and dialog with intelligent agents, such as:
    8 KB (1,024 words) - 09:57, 13 May 2020
  • ODBASE 2019
    ...ence and Semantic Web, databases, data science, data analytics and machine learning, human-computer interaction, social networks, distributed and mobile system ...ncern is amplified by the opaque nature of techniques such as deep machine learning and the ease with which they can be applies over large varieties of dataset
    6 KB (872 words) - 23:11, 24 February 2020
  • AAAI 2019
    ...obotics and perception, multiagent systems, statistical learning, and deep learning. We expressly encourage work that cuts across technical areas, or develops
    13 KB (1,895 words) - 16:30, 26 November 2020
  • NIPS 2019
    |Field=Artificial Intelligence,Neural Information Processing Systems,Deep Learning ...Processing Systems (abbreviated as NeurIPS and formerly NIPS) is a machine learning and computational neuroscience conference held every December. The conferen
    4 KB (561 words) - 17:31, 13 February 2020
  • KDWEB 2016
    *Deep Learning *Machine Learning
    2 KB (270 words) - 11:31, 21 June 2016
  • KESW 2016
    * System descriptions and best practices in linked learning ...ents who would like to discuss their ideas and get feedback before they go deep developing them.
    6 KB (898 words) - 14:42, 24 September 2016
  • ODBASE 2020
    ...ence and Semantic Web, databases, data science, data analytics and machine learning, human-computer interaction, social networks, distributed and mobile system ...ncern is amplified by the opaque nature of techniques such as deep machine learning and the ease with which they can be applies over large varieties of dataset
    6 KB (877 words) - 23:06, 24 February 2020
  • MLHPC 2016
    |Title=MLHPC 2016 : Machine Learning in High Performance Computing Environments Workshop |Field=machine learning, deep learning, high performance computing, supercomputing
    387 bytes (41 words) - 06:31, 20 September 2016
  • ICLR 2017
    |Title=ICLR 2017 : 5th International Conference on Learning Representations |Field=machine learning, deep learning, learning representation
    365 bytes (40 words) - 17:32, 19 December 2016
  • WINVIZNN 2016
    ...WINVIZNN 2016 : ACCV 2016 Workshop on Interpretation and Visualization of Deep Neural Nets |Field=neural networks, machine learning, interpretability, deep learning
    467 bytes (56 words) - 15:07, 17 August 2016
  • IMMM 2021
    ...information extraction; Community detection in social networks; Mining and learning activities; Confidence-based and incomplete information ...Social graph partitioning methods; Monitoring of co-evolving data streams; Deep packet inspection systems; Ensemble-based data mining platforms; Sensors-or
    10 KB (1,305 words) - 00:29, 12 December 2020
  • ICSC 2017
    * deep learning
    5 KB (580 words) - 20:22, 28 January 2017
  • KDD 2016
    ...large-scale data analytics of textual and graph data, large-scale machine learning systems, distributed computing (cloud, map-reduce, MPI), large-scale optimi ...ression methods, deep learning, semi-supervised learning, and unsupervised learning and clustering.
    2 KB (282 words) - 10:48, 8 February 2020
  • ICDLT 2017
    |Title=ICDLT 2017 : ACM--2017 International Conference on Deep Learning Technologies (ICDLT 2017)--Ei Compendex and Scopus
    439 bytes (52 words) - 13:48, 25 September 2016
  • ACM--ICDLT 2017
    |Title=ACM--ICDLT 2017 : ACM--2017 International Conference on Deep Learning Technologies (ICDLT 2017)--Ei Compendex and Scopus |Field=information technology, e-learning , machine learning, multimedia
    451 bytes (52 words) - 13:48, 25 September 2016
  • COLT 2017
    |Title=30th Annual Conference on Learning Theory |Field=Computational Learning Theory
    2 KB (240 words) - 15:50, 21 May 2019
  • INFORMATIK 2017
    * WS 34 Deep Learning in heterogenen Datenbeständen
    7 KB (852 words) - 09:34, 27 April 2017
  • INTECH 2017
    Workshop on Deep Learning Applications (http://www.dirf.org/intech/deep-learning-applications/) E-Learning, e-Commerce, e-Business and e-Government
    5 KB (631 words) - 15:09, 10 April 2017
  • KESW 2017
    * System descriptions and best practices in linked learning ...ents who would like to discuss their ideas and get feedback before they go deep developing them.
    7 KB (988 words) - 09:50, 14 August 2019
  • WIMS 2018
    *Indexing and Information Extraction from the (Semantic) Deep Web *Knowledge Extraction and Ontology Learning from the Web
    18 KB (2,394 words) - 16:28, 29 January 2018
  • SemDeep 2017
    |Title=Second Workshop on Semantic Deep Learning Deadline Extension for for the Second Workshop on Semantic Deep Learning (SemDeep-2)
    4 KB (590 words) - 10:52, 16 July 2017
  • NLIWoD 2017
    - Deep Learning for Natural Language Interaction
    5 KB (693 words) - 10:36, 16 July 2017
  • 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

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