المؤلفون: Mathias Bæk Tejs Knudsen, Jacob Holm, Mikkel Abrahamsen, Morten Stöckel, Stephen Alstrup

المصدر: Discrete Applied Mathematics. 282:1-13

مصطلحات موضوعية: Combinatorics, Conjecture, Degree (graph theory), Applied Mathematics, Bounded function, Discrete Mathematics and Combinatorics, Undirected graph, Upper and lower bounds, Graph, Single cycle, Mathematics, Universal graph

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::97263f885362b4ed9f18429b3b15f03d
https://doi.org/10.1016/j.dam.2019.10.030

المؤلفون: Christian Hansen, Casper Worm Hansen, Jakob Grue Simonsen, Christina Lioma, Stephen Alstrup

المصدر: Hansen, C, Hansen, C, Simonsen, J G, Alstrup, S & Lioma, C 2021, Unsupervised multi-index semantic hashing . in The Web Conference 2021-Proceedings of the World Wide Web Conference, WWW 2021 . Association for Computing Machinery, Inc, The Web Conference 2021-Proceedings of the World Wide Web Conference, WWW 2021, pp. 2879-2889, 2021 World Wide Web Conference, WWW 2021, Ljubljana, Slovenia, 19/04/2021 . https://doi.org/10.1145/3442381.3450014
WWW

مصطلحات موضوعية: FOS: Computer and information sciences, Computer Science - Machine Learning, Theoretical computer science, Computer science, Nearest neighbor search, Similarity search, Hash function, Binary number, Semantic hashing, 02 engineering and technology, Machine Learning (cs.LG), Computer Science - Information Retrieval, Set (abstract data type), Task (computing), Multi-index hashing, Index (publishing), 020204 information systems, 0202 electrical engineering, electronic engineering, information engineering, Data_FILES, 020201 artificial intelligence & image processing, State (computer science), Information Retrieval (cs.IR)

وصف الملف: application/pdf

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dbdc2a6015a72db1fa4d92f2f2aad86a
http://arxiv.org/abs/2103.14460

المؤلفون: Christina Lioma, Casper Hansen, Christian Hansen, Stephen Alstrup, Jakob Grue Simonsen

المصدر: Hansen, C, Hansan, C, Simonsen, J G, Alstrup, S & Lioma, C 2020, Content-aware Neural Hashing for Cold-start Recommendation . in SIGIR 2020-Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval . Association for Computing Machinery, pp. 971-980, 43rd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2020, Virtual, Online, China, 25/07/2020 . https://doi.org/10.1145/3397271.3401060
SIGIR

مصطلحات موضوعية: FOS: Computer and information sciences, Information retrieval, Computer science, cold-start recommendation, Hash function, Hamming distance, 02 engineering and technology, content-aware recommendation, Autoencoder, hashing, Computer Science - Information Retrieval, 020204 information systems, autoencoders, collaborative filtering, 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, Relevance (information retrieval), Learning to rank, Information Retrieval (cs.IR)

وصف الملف: application/pdf

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::19a3fb8eead9a228831ca7f7d0760379
http://arxiv.org/abs/2006.00617

المؤلفون: Jakob Grue Simonsen, Stephen Alstrup, Christina Lioma, Christian Hansen, Casper Hansen

المصدر: Hansen, C, Hansen, C, Simonsen, J G, Alstrup, S & Lioma, C 2020, Unsupervised Semantic Hashing with Pairwise Reconstruction . in SIGIR 2020-Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval . Association for Computing Machinery, pp. 2009-2012, 43rd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2020, Virtual, Online, China, 25/07/2020 . https://doi.org/10.1145/3397271.3401220
SIGIR

مصطلحات موضوعية: FOS: Computer and information sciences, Computer Science - Computation and Language, business.industry, Computer science, semantic hashing, Nearest neighbor search, Hash function, variational, Hamming distance, Pattern recognition, 02 engineering and technology, Autoencoder, Computer Science - Information Retrieval, Semantic similarity, 020204 information systems, 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, Pairwise comparison, Artificial intelligence, business, pairwise reconstruction, Computation and Language (cs.CL), Information Retrieval (cs.IR), Computer Science::Databases, Computer Science::Cryptography and Security

وصف الملف: application/pdf

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7ab19b87c6e9bba8c653800d1dc924d8
https://curis.ku.dk/portal/da/publications/unsupervised-semantic-hashing-with-pairwise-reconstruction(d8079968-f1d5-40ae-8372-e0ed073522ca).html

المؤلفون: Jakob Grue Simonsen, Casper Hansen, Christina Lioma, Christian Hansen, Birger Larsen, Stephen Alstrup

المصدر: Hansen, C, Hansen, C, Simonsen, J G, Larsen, B, Alstrup, S & Lioma, C 2020, Factuality Checking in News Headlines with Eye Tracking . in SIGIR 2020-Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval . Association for Computing Machinery, pp. 2013-2016, 43rd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2020, Virtual, Online, China, 25/07/2020 . https://doi.org/10.1145/3397271.3401221
Hansen, C, Hansen, C, Simonsen, J G, Larsen, B, Alstrup, S & Lioma, C 2020, Factuality Checking in News Headlines with Eye Tracking . in Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval . Association for Computing Machinery, pp. 2013-2016, 43rd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2020, Virtual, Online, China, 25/07/2020 . https://doi.org/10.1145/3397271.3401221
SIGIR

مصطلحات موضوعية: FOS: Computer and information sciences, fake news, Computer science, business.industry, media_common.quotation_subject, Computer Science - Human-Computer Interaction, Headline, computer.software_genre, eye tracking, Human-Computer Interaction (cs.HC), Computer Science - Information Retrieval, factuality checking, Reading (process), Eye tracking, Artificial intelligence, Fake news, business, computer, Information Retrieval (cs.IR), Natural language processing, media_common

وصف الملف: application/pdf

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::57175d835102b49bcd2a2cd2bd3e8791
https://curis.ku.dk/portal/da/publications/factuality-checking-in-news-headlines-with-eye-tracking(007537ed-41d9-48a8-a03c-75ad9030e756).html

المؤلفون: Stephen Alstrup, Christian Hansen, Jakob Grue Simonsen, Casper Hansen, Christina Lioma

المصدر: SIGIR

مصطلحات موضوعية: FOS: Computer and information sciences, Computer Science - Computation and Language, Computer science, business.industry, Meaning (non-linguistic), Document representation, computer.software_genre, Computer Science - Information Retrieval, Term (time), Embedding, Artificial intelligence, State (computer science), business, Computation and Language (cs.CL), computer, Information Retrieval (cs.IR), Natural language processing, Word (computer architecture)

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::10fb9f8f3744f8ae0a478dc4926a2111
https://doi.org/10.1145/3331184.3331307

المؤلفون: Jakob Grue Simonsen, Stephen Alstrup, Casper Hansen, Christina Lioma, Christian Hansen

المصدر: SIGIR

مصطلحات موضوعية: FOS: Computer and information sciences, Computer Science - Machine Learning, Computer Science - Computation and Language, Artificial neural network, business.industry, Computer science, Deep learning, Nearest neighbor search, Hash function, Pattern recognition, 02 engineering and technology, 010501 environmental sciences, 01 natural sciences, Machine Learning (cs.LG), Computer Science - Information Retrieval, Ranking (information retrieval), Generative model, Component (UML), 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, Artificial intelligence, business, Computation and Language (cs.CL), Information Retrieval (cs.IR), 0105 earth and related environmental sciences

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::36eeedb229b2ac3706a480fadc5f4814
https://doi.org/10.1145/3331184.3331255

المؤلفون: Christian Hansen, Casper Hansen, Jakob Grue Simonsen, Stephen Alstrup, Christina Lioma

المصدر: WWW (Companion Volume)
Hansen, C, Hansen, C, Alstrup, S, Simonsen, J G & Lioma, C 2019, Neural check-worthiness ranking with weak supervision : Finding sentences for fact-checking . in The Web Conference 2019-Companion of the World Wide Web Conference, WWW 2019 . Association for Computing Machinery, pp. 994-1000, 2019 World Wide Web Conference, WWW 2019, San Francisco, United States, 13/05/2019 . https://doi.org/10.1145/3308560.3316736

مصطلحات موضوعية: FOS: Computer and information sciences, Computer Science - Machine Learning, Word embedding, Computer science, Fact checking, 02 engineering and technology, Weak supervision, 010501 environmental sciences, Semantics, computer.software_genre, 01 natural sciences, Computer Science - Information Retrieval, Machine Learning (cs.LG), Ranking (information retrieval), 020204 information systems, 0202 electrical engineering, electronic engineering, information engineering, 0105 earth and related environmental sciences, Computer Science - Computation and Language, Artificial neural network, business.industry, Deep learning, Ranking, Check worthiness, ComputingMethodologies_DOCUMENTANDTEXTPROCESSING, Embedding, Artificial intelligence, business, Computation and Language (cs.CL), computer, Information Retrieval (cs.IR), Word (computer architecture), Sentence, Natural language processing

وصف الملف: application/pdf

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a32fbc7ea9e013e7878ac6afe089b378
https://doi.org/10.1145/3308560.3316736

المؤلفون: Christian Hansen, Casper Hansen, stephen alstrup, Jakob Grue Simonsen, Christina Lioma

المصدر: Hansen, C, Hansen, C, Alstrup, S, Simonsen, J G & Lioma, C 2019, Modelling Sequential Music Track Skips using a Multi-RNN Approach . in WSDM '19: Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining . Association for Computing Machinery, 12th ACM International Conference on Web Search and Data Mining, Melbourne, Australia, 11/02/2019 .
University of Copenhagen

مصطلحات موضوعية: FOS: Computer and information sciences, Computer Science - Machine Learning, Information Retrieval (cs.IR), Machine Learning (cs.LG), Computer Science - Information Retrieval

وصف الملف: application/pdf

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aa10eb7c51f039dabdee4d1d45829b3e
http://arxiv.org/abs/1903.08408

المؤلفون: Christian Hansen, Casper Hansen, stephen alstrup, Jakob Grue Simonsen, Christina Lioma

المصدر: University of Copenhagen

مصطلحات موضوعية: FOS: Computer and information sciences, Computer Science - Machine Learning, Computer Science - Computation and Language, Statistics - Machine Learning, Machine Learning (stat.ML), Computation and Language (cs.CL), Machine Learning (cs.LG)

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f183e1432074726efdbb9b26a13f8c48
http://arxiv.org/abs/1904.00761