Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Nawshad Farruque"'
Autor:
Mi-Young Kim, Shahin Atakishiyev, Housam Khalifa Bashier Babiker, Nawshad Farruque, Randy Goebel, Osmar R. Zaïane, Mohammad-Hossein Motallebi, Juliano Rabelo, Talat Syed, Hengshuai Yao, Peter Chun
Publikováno v:
Machine Learning and Knowledge Extraction, Vol 3, Iss 4, Pp 900-921 (2021)
The rapid growth of research in explainable artificial intelligence (XAI) follows on two substantial developments. First, the enormous application success of modern machine learning methods, especially deep and reinforcement learning, have created hi
Externí odkaz:
https://doaj.org/article/d67569a6f8d840368ade8afe142bc3a4
Publikováno v:
Computational Linguistics and Intelligent Text Processing ISBN: 9783031243394
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5d8db831cfab7855ea2ba8f117b87d51
https://doi.org/10.1007/978-3-031-24340-0_22
https://doi.org/10.1007/978-3-031-24340-0_22
Publikováno v:
Proceedings of the Second Workshop on Language Technology for Equality, Diversity and Inclusion.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9d343c43f774e588b34bb868c9a2905d
https://doi.org/10.18653/v1/2022.ltedi-1.21
https://doi.org/10.18653/v1/2022.ltedi-1.21
Publikováno v:
2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::94b216b97abb4d50304bf17a74c52313
https://doi.org/10.1109/icmla52953.2021.00237
https://doi.org/10.1109/icmla52953.2021.00237
Autor:
Abhishek Dhankar, Hamman Samuel, Fahim Hassan, Nawshad Farruque, Francois Bolduc, Osmar Zaiane
Publikováno v:
2021 IEEE 33rd International Conference on Tools with Artificial Intelligence (ICTAI).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cb32f3ac33ce9eeafafa409bb16f8baf
https://doi.org/10.1109/ictai52525.2021.00141
https://doi.org/10.1109/ictai52525.2021.00141
Publikováno v:
NAACL-HLT
Multi-label emotion classification is an important task in NLP and is essential to many applications. In this work, we propose a sequence-to-emotion (Seq2Emo) approach, which implicitly models emotion correlations in a bi-directional decoder. Experim
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::36ac86b4bd230df8d513f26a78b0a81b
https://doi.org/10.18653/v1/2021.naacl-main.375
https://doi.org/10.18653/v1/2021.naacl-main.375
Autor:
Wendy Osborn, Nawshad Farruque
Publikováno v:
AINA
Applications exist today that require the management of distributed spatial data. Since spatial data is more complex than non-spatial data, performing distributed queries on it requires the consideration of both local processing (i.e. CPU and I/O) ti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::211398bb4d124691ee36a93aa638fba7
https://doi.org/10.1109/aina.2014.132
https://doi.org/10.1109/aina.2014.132