Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Gunasekaran, Karthick"'
Publikováno v:
2023 International Conference on Robotics, Machine Learning and Signal Processing
Managing the configurations of a database system poses significant challenges due to the multitude of configuration knobs that impact various system aspects.The lack of standardization, independence, and universality among these knobs further complic
Externí odkaz:
http://arxiv.org/abs/2306.14349
Autor:
Gunasekaran, Karthick Prasad
Publikováno v:
International Advanced Research Journal in Science, Engineering and Technology International Advanced Research Journal in Science, Engineering and Technology, Vol. 7, Issue 5, May 2020
Lung cancer poses a significant global public health challenge, emphasizing the importance of early detection for improved patient outcomes. Recent advancements in deep learning algorithms have shown promising results in medical image analysis. This
Externí odkaz:
http://arxiv.org/abs/2305.15813
Autor:
Gunasekaran, Karthick Prasad
Publikováno v:
International Journal of Advanced Research in Computer And Communication Engineering Vol. 8, Issue 1, January 2019
Sentiment analysis (SA) is the automated process of detecting and understanding the emotions conveyed through written text. Over the past decade, SA has gained significant popularity in the field of Natural Language Processing (NLP). With the widespr
Externí odkaz:
http://arxiv.org/abs/2305.14842
The management of database system configurations is a challenging task, as there are hundreds of configuration knobs that control every aspect of the system. This is complicated by the fact that these knobs are not standardized, independent, or unive
Externí odkaz:
http://arxiv.org/abs/2304.12747
Occlusions of objects is one of the indispensable problems in Computer vision. While Convolutional Neural Net-works (CNNs) provide various state of the art approaches for regular image classification, they however, prove to be not as effective for th
Externí odkaz:
http://arxiv.org/abs/2304.11779
Autor:
Gunasekaran, Karthick Prasad
For years, Single Image Super Resolution (SISR) has been an interesting and ill-posed problem in computer vision. The traditional super-resolution (SR) imaging approaches involve interpolation, reconstruction, and learning-based methods. Interpolatio
Externí odkaz:
http://arxiv.org/abs/2304.10870
The task of predicting the publication period of text documents, such as news articles, is an important but less studied problem in the field of natural language processing. Predicting the year of a news article can be useful in various contexts, suc
Externí odkaz:
http://arxiv.org/abs/2304.10859
Meta-learning considers the problem of learning an efficient learning process that can leverage its past experience to accurately solve new tasks. However, the efficacy of meta-learning crucially depends on the distribution of tasks available for tra
Externí odkaz:
http://arxiv.org/abs/2111.01322
Autor:
Kommaraju, Vaishnavi, Gunasekaran, Karthick, Li, Kun, Bansal, Trapit, McCallum, Andrew, Williams, Ivana, Istrate, Ana-Maria
We explore the suitability of unsupervised representation learning methods on biomedical text -- BioBERT, SciBERT, and BioSentVec -- for biomedical question answering. To further improve unsupervised representations for biomedical QA, we introduce a
Externí odkaz:
http://arxiv.org/abs/2009.12952
Autor:
Gillespie, Alexandria, Yirsaw, Al, Kim, Sookyung, Wilson, Katherine, McLaughlin, Julie, Madigan, Mackenzie, Loonie, Kathleen, Britton, Emily, Zhang, Fengqiu, Damani-Yokota, Payal, Gunasekaran, Karthick P., Telfer, Janice, Baldwin, Cynthia L.
Publikováno v:
In Developmental and Comparative Immunology March 2021 116
