Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Mark Feblowitz"'
Autor:
Oktie Hassanzadeh, Parul Awasthy, Ken Barker, Onkar Bhardwaj, Debarun Bhattacharjya, Mark Feblowitz, Lee Martie, Jian Ni, Kavitha Srinivas, Lucy Yip
Publikováno v:
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence.
We present a toolkit for knowledge-based news event analysis and forecasting. The toolkit is powered by a Knowledge Graph (KG) of events curated from structured and unstructured sources of event-related knowledge. The toolkit provides functions for 1
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::570816f45d64279a1a80fbd294f97b01
https://doi.org/10.24963/ijcai.2022/850
https://doi.org/10.24963/ijcai.2022/850
Autor:
Mark Feblowitz, Oktie Hassanzadeh, Michael Katz, Shirin Sohrabi, Kavitha Srinivas, Octavian Udrea
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 35:16032-16034
Scenario Planning is a commonly used Enterprise Risk Management (ERM) technique to help decision makers with longterm plans by considering multiple alternative futures. It is typically a manual, highly labor intensive process involving dozens of expe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d9f281d65b3c66171cb81d47dfba8942
https://doi.org/10.1609/aaai.v35i18.18003
https://doi.org/10.1609/aaai.v35i18.18003
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 35:15759-15760
In this paper, we address the problem of extracting causal knowledge from text documents in a weakly supervised manner. We target use cases in decision support and risk management, where causes and effects are general phrases without any constraints.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b091f1d7a96f669dc5eb14bb90b753b4
https://doi.org/10.1609/aaai.v35i18.17876
https://doi.org/10.1609/aaai.v35i18.17876
Autor:
Alain Biem, Maria Butrico, Mark Feblowitz, Tim Klinger, Yuri Malitsky, Kenney Ng, Adam Perer, Chandra Reddy, Anton Riabov, Horst Samulowitz, Daby Sow, Gerald Tesauro, Deepak Turaga
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 29
A Data Scientist typically performs a number of tedious and time-consuming steps to derive insight from a raw data set. The process usually starts with data ingestion, cleaning, and transformation (e.g. outlier removal, missing value imputation), the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4ad480b01eb0379c012712733039c6f4
https://doi.org/10.1609/aaai.v29i1.9281
https://doi.org/10.1609/aaai.v29i1.9281
Composition of software applications from component parts in response to high-level goals is a long-standing and highly challenging goal. We target the problem of composition in flow-based information processing systems and demonstrate how applicatio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::017ffb61569b426b306911c3709f0ecc
https://doi.org/10.4018/978-1-4666-0261-8.ch008
https://doi.org/10.4018/978-1-4666-0261-8.ch008
Publikováno v:
Distributed Computing in Sensor Systems ISBN: 9783540730897
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::693921a6f507b15e587f8cc2749ecccf
https://doi.org/10.1007/978-3-540-73090-3_12
https://doi.org/10.1007/978-3-540-73090-3_12
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