Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Kunal, Khadilkar"'
Publikováno v:
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence.
We present a novel dataset of dialogues containing interruption with an aim to conduct a large-scale analysis of interruption patterns of people from diverse backgrounds in terms of gender, race/ethnicity, occupation, and political orientation. Our d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::943137d3b062b15a62547dc9c07405a9
https://doi.org/10.24963/ijcai.2022/724
https://doi.org/10.24963/ijcai.2022/724
Publikováno v:
Patterns (New York, N.Y.). 3(2)
We use a suite of cutting-edge natural language processing methods to quantify and characterize societal and gender biases in popular movie content. Our data set consists of English subtitles of popular movies from Bollywood-the Mumbai film industry-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::159bc2fe1cf4cef88d4ec9d2f0a67e5a
https://pubmed.ncbi.nlm.nih.gov/35465228
https://pubmed.ncbi.nlm.nih.gov/35465228
Publikováno v:
Patterns. 3:100442
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a820e3e4f4e6d70ce84fe22514bc550d
https://doi.org/10.1016/j.patter.2022.100442
https://doi.org/10.1016/j.patter.2022.100442
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 35:15813-15814
Bollywood, aka the Mumbai film industry, is one of the biggest movie industries in the world with a current movie market share of worth 2.1 billion dollars and a target audience base of 1.2 billion people. While the entertainment impact in terms of l
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2503f77232817aa24c1fb47291fff9da
https://doi.org/10.1609/aaai.v35i18.17903
https://doi.org/10.1609/aaai.v35i18.17903
Autor:
Siddhivinayak Kulkarni, Indrajeet Kane, Kunal Khadilkar, Amol A. Dhondse, Rahul Barhate, Sumit Chavan
Publikováno v:
Data Management, Analytics and Innovation ISBN: 9789811393631
Synthesizing three-dimensional objects from single or multiple two-dimensional views has been a challenging task. To combat this, several techniques involving Convolutional Neural Networks (CNNs), Long Short-Term Memory Networks (LSTMs), and Recurren
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3539ff56d5f1d17f631b4a1d422f5923
https://doi.org/10.1007/978-981-13-9364-8_25
https://doi.org/10.1007/978-981-13-9364-8_25
Publikováno v:
2019 IEEE 5th International Conference for Convergence in Technology (I2CT).
Every day, big amounts of unstructured data is generated. This data is of the form of essays, research papers, speeches, patents, scholastic articles, book chapters etc. In today’s world, it is very important to extract key patterns from huge text
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2cca28c3e1f11b182ffbbda67b7a773b
https://doi.org/10.1109/i2ct45611.2019.9033908
https://doi.org/10.1109/i2ct45611.2019.9033908
Publikováno v:
2018 Fourth International Conference on Computing Communication Control and Automation (ICCUBEA).
Every day, huge amounts of unstructured text is getting generated. Most of this data is in the form of essays, research papers, patents, scholastic articles, book chapters etc. Many plagiarism softwares are being developed to be used in order to redu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::435751fb857def78c831889d3ad34bdd
https://doi.org/10.1109/iccubea.2018.8697404
https://doi.org/10.1109/iccubea.2018.8697404