Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Rohan Kumar Yadav"'
Publikováno v:
IEEE Access, Vol 7, Pp 51484-51498 (2019)
Indoor positioning systems have received increasing attention because of their wide range of indoor applications. However, the positioning system generally suffers from a large error in localization and has low solidity. The main approaches widely us
Externí odkaz:
https://doaj.org/article/106f725c61b34bd29d7dff8aeb21e590
Publikováno v:
IEEE Access, Vol 7, Pp 33943-33956 (2019)
The unstable nature of radio frequency signals and the need for external infrastructure inside buildings have limited the use of positioning techniques, such as Wi-Fi and Bluetooth fingerprinting. Compared to these techniques, the geomagnetic field e
Externí odkaz:
https://doaj.org/article/e04267721b904f3b96baa8c27c72d949
Publikováno v:
Algorithms, Vol 15, Iss 5, p 143 (2022)
Explainability is one of the key factors in Natural Language Processing (NLP) specially for legal documents, medical diagnosis, and clinical text. Attention mechanism has been a popular choice for such explainability recently by estimating the relati
Externí odkaz:
https://doaj.org/article/6f8ce4367b8e4508abd9a1724e0aa669
Publikováno v:
Computers, Vol 11, Iss 4, p 57 (2022)
Large-scale pre-trained language representation and its promising performance in various downstream applications have become an area of interest in the field of natural language processing (NLP). There has been huge interest in further increasing the
Externí odkaz:
https://doaj.org/article/ad4b78fb3c1b43369d7205561c284964
Publikováno v:
INTERNATIONAL JOURNAL OF COMPUTERS COMMUNICATIONS & CONTROL. 18
Natural language processing (NLP) has become a vital requirement in a wide range of applications, including machine translation, information retrieval, and text classification. The development and evaluation of NLP models for various languages have r
Autor:
Sondre Glimsdal, Rupsa Saha, Bimal Bhattarai, Charul Giri, Jivitesh Sharma, Svein Anders Tunheim, Rohan Kumar Yadav
Publikováno v:
2022 International Symposium on the Tsetlin Machine (ISTM).
Robust Interpretable Text Classification against Spurious Correlations Using AND-rules with Negation
The state-of-the-art natural language processing models have raised the bar for excellent performance on a variety of tasks in recent years. However, concerns are rising over their primitive sensitivity to distribution biases that reside in the train
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::334ca0171c4ca0d20de96b02699f32a5
https://hdl.handle.net/11250/3057374
https://hdl.handle.net/11250/3057374
Publikováno v:
Advances and Trends in Artificial Intelligence. Theory and Practices in Artificial Intelligence ISBN: 9783031085291
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f9a1efbc6c4eac678f9edbbba0be193a
https://doi.org/10.1007/978-3-031-08530-7_71
https://doi.org/10.1007/978-3-031-08530-7_71
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031101601
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::55fbd8cc7ee5770bbe3b63c02526ca47
https://doi.org/10.1007/978-3-031-10161-8_13
https://doi.org/10.1007/978-3-031-10161-8_13
Publikováno v:
ICAART (2)