Zobrazeno 1 - 10
of 124
pro vyhledávání: '"Dmitri Roussinov"'
Publikováno v:
Frontiers in Digital Health, Vol 3 (2022)
Identifying which patients are at higher risks of dying or being re-admitted often happens to be resource- and life- saving, thus is a very important and challenging task for healthcare text analytics. While many successful approaches exist to predic
Externí odkaz:
https://doaj.org/article/f3cb4e74e98c48829431955464fdc283
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030454388
ECIR (1)
ECIR (1)
Automatically recognizing an existing semantic relation (such as “is a”, “part of”, “property of”, “opposite of” etc.) between two arbitrary words (phrases, concepts, etc.) is an important task affecting many information retrieval and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::99101dbe8eb3c2c6dc7179bb97e12bed
https://doi.org/10.1007/978-3-030-45439-5_37
https://doi.org/10.1007/978-3-030-45439-5_37
Autor:
Dmitri Roussinov, Nadezhda Puchnina
Publikováno v:
The 13th IEEE International Conference On Semantic Computing
ICSC
ICSC
Several applications dealing with natural language text involve automated validation of the membership in a given category (e.g. France is a country, Gladiator is a movie, but not a country). Meta-learning is a recent and powerful machine learning ap
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d53cc7dc09a7eeee011a9a826be38d20
https://strathprints.strath.ac.uk/66538/1/Roussinov_Puchnina_IEEE_ICSC_2019_Combining_neural_networks_and_pattern_matching_for_ontology_mining.pdf
https://strathprints.strath.ac.uk/66538/1/Roussinov_Puchnina_IEEE_ICSC_2019_Combining_neural_networks_and_pattern_matching_for_ontology_mining.pdf
Autor:
Dmitri Roussinov
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319769400
ECIR
ECIR
The value of microblogging services (such as Twitter) and social networks (such as Facebook) in disseminating and discussing important events is currently under serious threat from automated or human contributors employed to distort information. Whil
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::39f1e1c77ca03de3b8d2ab1bca17d9ce
https://strathprints.strath.ac.uk/64004/1/Roussinov_ECIR2018_Towards_measuring_content_coordination_in_microblogs.pdf
https://strathprints.strath.ac.uk/64004/1/Roussinov_ECIR2018_Towards_measuring_content_coordination_in_microblogs.pdf
Autor:
Sultan Alotaibi, Dmitri Roussinov
Many governments recently started to change the ways of providing their services by allowing their citizens to access services from anywhere without the need of visiting the location of the service provider. Mobile government (M-government) is one of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::63761bd0739d2b85eef837ade784e638
Autor:
Ozgur Turetken, Dmitri Roussinov
Publikováno v:
Information Systems. 34:753-765
Many artificial intelligence tasks, such as automated question answering, reasoning, or heterogeneous database integration, involve verification of a semantic category (e.g. ''coffee'' is a drink, ''red'' is a color, while ''steak'' is not a drink an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9b50748f73a360380ef0122cf50b88d4
https://doi.org/10.1016/j.is.2009.03.007
https://doi.org/10.1016/j.is.2009.03.007
Publikováno v:
IEEE Transactions on Neural Networks. 20:430-445
This paper presents a new learning algorithm for multitask pattern recognition (MTPR) problems. We consider learning multiple multiclass classification tasks online where no information is ever provided about the task category of a training example.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a62be1a4b7c710100219a643ed303662
https://doi.org/10.1109/tnn.2008.2007961
https://doi.org/10.1109/tnn.2008.2007961
Autor:
Gheorghe Muresan, Dmitri Roussinov
Publikováno v:
ASIST
We report an investigation of techniques for mining world wide web in order to identify terms (single words or phrases) that are highly related to a topic (query) described by a short (one sentence or a paragraph-long) interest statement. These terms
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5d1103f242346b5a326fdd20e003bf51
https://doi.org/10.1002/meet.1450440271
https://doi.org/10.1002/meet.1450440271
Publikováno v:
Communications of the ACM. 51:60-65
Beyond Google, emerging question-answering systems respond to natural-language queries.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bc55939846555bafaa0988c29c54d891
https://doi.org/10.1145/1378727.1378743
https://doi.org/10.1145/1378727.1378743
Publikováno v:
IEEE Transactions on Knowledge and Data Engineering
Searching for words on a watchlist is one way in which large-scale surveillance of communication can be done, for example in intelligence and counterterrorism settings. One obvious defense is to replace words that might attract attention to a message
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fa8c267fb7c56ff85433613d6923ffd8
https://doi.org/10.1109/tkde.2008.94
https://doi.org/10.1109/tkde.2008.94