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  • ICLR 2018
    |Title=Sixth International Conference on Learning Representations |Field=machine learning, deep learning, learning
    679 bytes (83 words) - 18:18, 12 February 2020
  • NAACL SSL-NLP 2009
    | Title = Workshop on Semi-supervised Learning for Natural Language Processing at NAACL HLT 2009 | Field = Machine learning
    7 KB (961 words) - 05:50, 14 October 2008
  • STEP 2008
    and consider deep semantic processing as a serious task in - learning semantic representations from raw text
    7 KB (856 words) - 23:06, 14 October 2008
  • PaGe 2008
    dependency-style analyses, various hybrid "deep/shallow" approaches, balancing the considerations of what structure merits learning versus
    5 KB (683 words) - 23:07, 14 October 2008
  • PaPa 2008
    | Title = LREC 2008 Workshop on PARTIAL PARSING Between Chunking and Deep Parsing Between Chunking and Deep Parsing
    5 KB (589 words) - 23:07, 14 October 2008
  • AFRICOMM 2011
    ...ture, e-Governance, e-Business, and enabling policy and regulations with a deep focus on developing countries. * Experiences and applications in areas such as: e-health, e-learning, e-agriculture, e-government, and e-participation
    9 KB (1,127 words) - 17:19, 26 April 2011
  • ADW 2008
    | Title = Workshop on Advances in Accessing Deep Web 1st Workshop on Advances in Accessing Deep Web (ADW 2008)
    7 KB (875 words) - 23:10, 14 October 2008
  • ICLR 2019
    |Title=Seventh International Conference on Learning Representations |Field=machine learning, deep learning, learning
    2 KB (245 words) - 10:52, 12 May 2020
  • SAW 2008
    Accessing the Deep Web (ADW 2008) and on E-Learning for Business Needs).
    7 KB (860 words) - 11:55, 7 January 2009
  • AAMAS 2020
    * Norm learning and emergence <big>Area 6 – Learning and Adaptation
    6 KB (659 words) - 17:41, 11 February 2021
  • SIGSOFT 2008
    ...duce research findings about gender and ethnic differences in teaching and learning, and then focus on alternative techniques for teaching software engineering ...ntended to provide students and participants with the ability to engage in deep technical discussions about their work. Posters provide students with a uni
    7 KB (892 words) - 09:16, 8 July 2020
  • MICRO 2020
    ...hitectures for emerging application domains such as deep learning, machine learning, relational computation, neuromorphic, quantum, etc.
    5 KB (580 words) - 10:32, 12 May 2020
  • POPL 2020
    * Martin Vechev: Can Programming Languages Research impact Deep Learning 2.0?
    3 KB (402 words) - 13:23, 8 July 2020
  • COLT 2018
    |Title=31st Annual Conference on Learning Theory |Field=Theoretical Aspects of Machine Learning and Related Topics
    3 KB (314 words) - 09:33, 1 April 2020
  • ACC 2019
    *S2: Reinforcement Learning: Leveraging Deep Learning for Controls
    3 KB (429 words) - 10:49, 9 October 2020
  • WISE 2009
    Deep/Hidden Web Web-based Learning
    2 KB (240 words) - 17:46, 21 July 2016
  • FUZZ-IEEE 2020
    * » fuzzy deep learning
    2 KB (223 words) - 17:26, 6 May 2021
  • ACML 2009
    | Title = The 1st Asian Conference on Machine Learning | Field = Machine learning
    5 KB (607 words) - 17:03, 27 December 2015
  • WISM-AICI 2009
    Web-based learning E-learning
    5 KB (604 words) - 17:06, 27 February 2009
  • IJWBC 2009
    ...those technologies are changing our notion of what a meeting is. We see a deep interest in this community in understanding, augmenting, and challenging me * Learning from prototypes and experimental systems
    5 KB (670 words) - 17:08, 27 February 2009
  • 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
  • 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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