Social Networks # Semantic Portals # Semantic Web for e-business, e-science, e-government, and e-learning # Languages, tools and methodologies for representing
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06, 2017 Contact E-Mail ID: info@adtelweb.org Association President: Prof. Vivian Iglesia-Buhain Language: English (Vernacular Session, e.g., Persian, Bahasa
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June, 2017 Contact E-Mail ID: info@adtelweb.org Association President: Prof. Vivian Iglesia-Buhain Language: English (Vernacular Session, e.g., Persian, Bahasa
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November, 2017 Contact E-Mail ID: info@adtelweb.org Association President: Prof. Vivian Iglesia-Buhain Language: English (Vernacular Session, e.g., Persian, Bahasa
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Ottawa City Ottawa Region Ontario Country Canada (CA) Academic Field Machine Learning, Multimedia Retrieval Official Website http://www.icmr2019.org/ Deadlines
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scheduled Mode on site City Bacau Country Romania (RO) Academic Field E-Learning Official Website http://smart2013.edusoft.ro Deadlines 2013-04-10 2013-02-20
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Applications * Applications of Semantic Web (e-Business, e-Science, e-Health, e-Government, e-Learning, e-Culture) * Case Studies of Semantic Web Applications
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anarchy; learning in games. Information elicitation and generation: prediction markets; recommender, reputation and trust systems; social learning; data markets
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2017 Title ICELT 2017 : 2017 3rd International Conference on Education, Learning and Training (ICELT 2017) Start Date 2017-10-12 End Date 2017-10-14 Status
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04vnq7t77 Event Series Events List DDFLC 2023-03-30 → 2023-03-31 Education E-Learning Language
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Technologies Technology Enhanced Learning Ubiquitous Learning Intelligent learning Eclipse Open source ecosystem and E-learning Societal, Legal and Ethical
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anarchy; learning in games. Information elicitation and generation: prediction markets; recommender, reputation and trust systems; social learning; data markets
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AU/QLD Country Australia (AU) Academic Field Computer Science Education, E-Learning Deadlines organization University of Queensland Metrics Organizer Organization
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AU/VIC Country Australia (AU) Academic Field Computer Science Education, E-Learning Deadlines organization University of Melbourne Metrics Organizer Organization
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13, 2017 Contact E-Mail ID: info@adtelweb.org Association President: Prof. Vivian Iglesia-Buhain Language: English (Vernacular Session, e.g., Persian, Bahasa
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September 2017 Contact E-Mail ID: info@adtelweb.org Association President: Prof. Vivian Iglesia-Buhain Language: English (Vernacular Session, e.g., Persian, Bahasa
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extraction - Speech-centered applications (e.g., human-computer, human-robot interaction, education and learning systems, assistive technologies, digital
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mLearning and mTraining mLearning management systems (mLMSs) Web and computer-based learning Tools for interactive learning and teaching Platforms and
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modalities/learning transfer 9. Active learning 10. Learning through imitation 11. Abductive learning 12. Learning through question asking 13. Learning through
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Efficiency. e-Society, e-Policy, e-Democracy, e-Voting; e-Access and e-Servicing; e-Government and e-Municipality; e-Learning – Systems and Applications; e-Business
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Systems Healthcare and Medicine Autonomic Computing E-learning, E-institutions, E-commerce, E-finance, E-business, and M-commerce Web Services and Semantic
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AU/NSW Country Australia (AU) Academic Field Computer Science Education, E-Learning DOI https://doi.org/10.25798/w87d-bw67 10.25798/w87d-bw67 Deadlines organization
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34th International Conference on Machine Learning Event Series ICML - International Conference on Machine Learning Start Date 2017-08-06 End Date 2017-08-12
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Language Acquisition (e.g. Child Language) * Second Language Acquisition (e.g. Natural and Instructed L2 Learning, Child and Adult L2 Learning, Problems in Migrant
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potential for teaching and learning. However, the danger remains that the transition from consumer to creator might miss the learning opportunity. The IADIS
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problem (e.g., throughput, latency, runtime), modeling and optimizing electric consumption (e.g., power, energy); modeling for failure management (e.g., fault
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which brings about e.g. understanding or commitments. Under the Pragmatic Web label we subsume both the pragmatics of ontologies (e.g. ontology development
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infrastructures. Information retrieval. Web services and semantic web. E-learning sys-tems. E-institutions. E-commerce. KEYNOTE SPEAKERS Joanna Jozefowska (Knowledge
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Rhine-Westphalia Country Germany (DE) Academic Field Computer Science, Smart E-Learning Official Website https://fg-bildungstechnologien.gi.de/veranstaltung/
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Machine learning in distributed camera networks Emerging applications (e.g., smart cities, virtual/augmented reality, health monitoring) Deep learning on embedded
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Robotics Machine Learning Mechanical Engineering Control ICRV 2017 2017-06-16 → 2017-06-19 Artificial Intelligence Robotics Machine Learning Control ACIRS
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Wayne State University USA E-mail: reddy[at]cs.wayne.edu Osmar Zaiane Department of Computer Science University of Alberta Canada E-mail: zaiane[at]cs.ualberta
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P A P E R S ============================================================================ Second International Workshop on Teaching and Learning of Information
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Machine Learning Multi-Agent Systems Neuro-Fuzzy Systems Application areas: Robotics Data Processing Knowledge Management Education, e-Learning Business&Finance
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Sydney Country Australia (AU) Academic Field Computer Science Education, E-Learning Deadlines Metrics Organizer Venue Sydney, Australia Loading map... {"minzoom":false
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Auckland Country New Zealand (NZ) Academic Field Computer Science Education, E-Learning Deadlines Metrics Organizer Venue Auckland, New Zealand Loading map..
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AU/NSW Country Australia (AU) Academic Field Computer Science Education, E-Learning Deadlines Metrics Organizer Venue AU/NSW/Newcastle, AU/NSW, Australia
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Melbourne Country Australia (AU) Academic Field Computer Science Education, E-Learning Deadlines Metrics Organizer Venue Melbourne, Australia Loading map...
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Queensland Country Australia (AU) Academic Field Computer Science Education, E-Learning Deadlines Metrics Organizer Venue Brisbane, Queensland, Australia Loading
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Perth Country Australia (AU) Academic Field Computer Science Education, E-Learning Deadlines Metrics Organizer Venue Perth, Australia Loading map... {"minzoom":false
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Adelaide Country Australia (AU) Academic Field Computer Science Education, E-Learning Deadlines Metrics Organizer Venue Adelaide, Australia Loading map... {"minzoom":false
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Melbourne Country Australia (AU) Academic Field Computer Science Education, E-Learning Deadlines Metrics Organizer Venue Melbourne, Australia Loading map...
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AU/VIC Country Australia (AU) Academic Field Computer Science Education, E-Learning Deadlines Metrics Organizer Venue AU/VIC/Melbourne, AU/VIC, Australia
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Brisbane Country Australia (AU) Academic Field Computer Science Education, E-Learning Deadlines Metrics Organizer Venue Brisbane, Australia Loading map... {"minzoom":false
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AU/NSW Country Australia (AU) Academic Field Computer Science Education, E-Learning Deadlines Metrics Organizer Venue AU/NSW/Sydney, AU/NSW, Australia Loading
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the machine learning community into how we evaluate new algorithms. We aim to discuss what properties of an algorithm need to be evaluated (e.g., accuracy
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Distributed Computing Technologies and Services 19. e-Commerce, Mobile Commerce, e-Government, e-Learning and e-Health 20. IT Services Technologies Deadlines
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International Society for Web Engineering e.V. Metrics Organizer Organization International Society for Web Engineering e.V. Polytechnic University of Bari Venue
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9 Data Mining Machine Learning Data Analytics Big Data Computing BDCAT 2021 2021-12-06 → 2021-12-09 Data Mining Machine Learning Data Analytics Big Data
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Exchange of e-le@rning Materials (SE@M'08) Second International Workshop on Search and Exchange of e-le@rning Materials (SE@M'08) (Formerly Learning Object
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different preference learning paradigms (e.g., "big bang" approaches that use a single model vs. modular approaches that decompose the learning of preference
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Yale University Sponsored by: Machine Learning, a PS&E program This is the third symposium on Machine Learning at the New York Academy of Sciences. The
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AU/TAS Country Australia (AU) Academic Field Computer Science Education, E-Learning Deadlines Metrics Organizer Venue AU/TAS/Hobart, AU/TAS, Australia Loading
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NZ/OTA Country New Zealand (NZ) Academic Field Computer Science Education, E-Learning Deadlines Metrics Organizer Venue NZ/OTA/Dunedin, NZ/OTA, New Zealand
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AU/VIC Country Australia (AU) Academic Field Computer Science Education, E-Learning Deadlines Metrics Organizer Venue AU/VIC/Ballarat, AU/VIC, Australia Loading
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AU/SA Country Australia (AU) Academic Field Computer Science Education, E-Learning Deadlines Metrics Organizer Venue AU/SA/Adelaide, AU/SA, Australia Loading
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Organizations ?e-culture ?e-Science ?e-Business ?e-Learning ?e-Government ?Grid Security ?Sensor networks and Grid applications (5) e-Culture or e-HASS (Humanities
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data mining o Machine learning for e-commerce applications o Mobile and location-based services o Search and information retrieval for e-commerce * Security
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for Papers COMPUTING AND PHILOSOPHY E-CAP 2008@LIRMM, France, June 16-18, 2008 Conference Chair: Jean Sallantin E-CAP 2008 is generously supported by CNRS
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architectures Learning Contexts and Informal Learning: Educational games; Collaborative and group learning; Social networks; Inquiry learning; Social dimensions
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26. DGfE-Kongress 2018 2018-03-18 → 2018-03-21 Pedagogy Education Science IPBLS 2017 2017-03-15 → 2017-03-17 Pedagogy Curriculum Student Learning Experience
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Machine Learning DEEM 2022 2022-06-12 → 2022-06-12 Data Management Machine Learning DEEM 2021 2021-06-20 → 2021-06-20 Data Management Machine Learning DEEM
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Humanities Track 14. 10th International Workshop on Software Engineering for E-learning (ISELEAR’19) Track 15. Communication, Education and Social Media Track
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Domains: Learning in open web environments Collaborative and group learning Simulation-based learning Ubiquitous learning environments Learning grid Lifelong
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well. A recent development in the related field of learning support is constituted by personal learning environments, replacing LMS similar to services and
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Relational Learning (bioinformatics, drug design, text-mining, ...) Distributed Computing for Relational Learning Efficiency issues of Relational Learning Graph
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Informatics • Knowledge Management • Multimedia Applications • E-Government • E-Governance • E-Health • Telemedicine • IT Transfer • IT Entrepreneurship This
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in applying Semantic Web technologies to specific application domains (e.g., the e-business, medical informatics and bioinformatics). Topics include, but
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Non-Photorealistic Rendering of CH Data * Virtual Museum Applications (e-Museums and e-Exhibitions) * Digital/Virtual Documentation of Archaeological Excavations
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BEHAVIOR AND SYSTEMS, including: machine learning, automated agents, trading agents, data mining, experience with e-commerce and systems, economics of the
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Supervised, Semi-Supervised, and Unsupervised Methods Statistical Learning Theory Online Learning, Data Stream Mining, and Dynamic Data Mining Graph Mining and
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Complex Event Processing and Event-driven Systems * Deep/Hidden Web * e-Commerce and e-Government * Grid Computing and P2P Systems * Innovative Web-based
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Distributed Systems / Distributed Databases Security and Privacy for E-Health, E-Payments, E-Voting, E-Commerce Security and Privacy for Sensor Networks, Wireless/Mobile
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Databases E-Government System and architecture of e-Government The e-Voting issue and e-Democracy Measuring e-Government/Economics Policies of e-government
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education and training Demands in education and training, e-learning, b-learning, m-learning and ODL Teleservice and telediagnosis Telerobotics and telepresence
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Assisted Language Learning (CALL) Digital literacy e-Assessment and new Assessment Theories and Methodologies e-learning and collaborative learning Education in
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researchers and (ii) practitioners involved in language pedagogy, i.e. Foreign Language Learning (FLL). Most SLA theories have thus far assumed a top-down operation
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computing • Semantic Web applications and tools for, e.g., biomedical and healthcare domain, eCommerce, eScience, virtual organizations, 4) Industry 4.0 •
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of digital learning content and people resources (e.g. other learners, experts, tutors). They can be used to facilitate teaching and learning tasks. Developing
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engineering software engineering with computational intelligence and machine learning software test automation and practice model-based software engineering
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Intelligence, Brain Informatics Intelligent e-Technology such as e-Science, e-Business, e-Learning, e-Finance, e-Government and related technologies Grid
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Network Analysis 2.c. Interactomics 2.d. Gene Expression and Regulation 2.e. Post-translational Modifications 2.f. Alternative Splicing 2.g. Non-coding
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networks - Intelligent distributed applications: e-business/e-commerce, e-learning, e-health, e-science, e-government, crisis/disaster/emergency management
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Ubiquitous Computing Internet of Things E-learning, E-institutions, E-commerce E-finance, E-business, and M-commerce Deep Learning Methods and Applications Image
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information systems Web services Web-based learning Digital libraries Distributed systems E-government E-commerce E-learning Intelligent networked systems Multi-agent
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and Teaching and Learning Strategies in Science and Engineering - Special Session: e-Portfolios - Special Session: Medical e-Learning All the topics covered
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applications. •Track 3: Artificial Intelligence, machine learning, neural networks, SVM, deep learning and classification techniques, language processing, semantic
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Italian Association for Computer Vision, Pattern Recognition and Machine Learning, International Association for Pattern Recognition Metrics Organizer Organization
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of grammar induction: e.g., learning from examples, learning using examples and queries, incremental versus non-incremental learning, distribution-free models
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mappers and mergers * ontology browsers * e-science * e-business * e-commerce, e-negotiation, e-marketplace * e-learning * folksonomies and collaborative tagging
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in Machine Learning, a strong focus has been put on data-driven methods that assume little a priori knowledge on the part of the learning mechanism. Such
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Humanities Track 14. 9th International Workshop on Software Engineering for E-learning (ISELEAR’18) Track 15. Communication, Education and Social Media Track
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interest are eSociety and Digital Divide, eBusiness / eCommerce, eLearning, New Media and E-Society, Digital Services in eESociety, eGovernment /eGovernance
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working on next generation ICT enhanced learning solutions, both in higher education and companies. E-learning is currently passing to a next phase where
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Digital Ecosystems * Service-oriented Collaborative Platforms * e-Learning Ecosystems * e-Humanities * Interdisciplinary Research * Students' Track This
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cognitive interfaces, collaborative systems, intelligent web mining, e-commerce, e-learning, e-business, bioinformatics, evolvable systems, virtual humans, designer
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functions of adaptive learning, predictive generalisation, knowledge discovery, creative thinking. Applications span across all disciplines, e.g.: neuroinformatics
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methods * Effecting affective HCI * Learning and training for HCI * Interaction for the performing arts * e-Security and e-safety * Users with unusual requirements
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modeling •Analogue RF and radar signal processing, sensor data fusion •Machine learning for RF sensors systems in these and related fields of applications: •Automotive
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