Zobrazeno 1 - 10
of 43
pro vyhledávání: '"Sourangshu Bhattacharya"'
Publikováno v:
IEEE Transactions on Computational Social Systems. 10:285-296
This paper investigates the dynamics of competition among organizations with unequal expertise. Multi-agent reinforcement learning has been used to simulate and understand the impact of various incentive schemes designed to offset such inequality. We
Publikováno v:
IEEE Transactions on Big Data. 8:699-710
This paper presents a new fast, highly scalable distributed matrix multiplication algorithm on Apache Spark, called Stark, based on Strassen's matrix multiplication algorithm. Stark preserves Strassen's seven multiplications scheme in a distributed e
Publikováno v:
Proceedings of the Second International Conference on AI-ML Systems.
Autor:
Suvadip Sinha, Om Gupta, Vishal Singh, B. Lekshmi, Dibyendu Nandy, Dhrubaditya Mitra, Saikat Chatterjee, Sourangshu Bhattacharya, Saptarshi Chatterjee, Nandita Srivastava, Axel Brandenburg, Sanchita Pal
Solar flares create adverse space weather impacting space- and Earth-based technologies. However, the difficulty of forecasting flares, and by extension severe space weather, is accentuated by the lack of any unique flare trigger or a single physical
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2d3d20ba492408c96ea1bcdca04b84ba
http://arxiv.org/abs/2204.05910
http://arxiv.org/abs/2204.05910
Autor:
Rajdeep Mukherjee, Uppada Vishnu, Hari Chandana Peruri, Sourangshu Bhattacharya, Koustav Rudra, Pawan Goyal, Niloy Ganguly
Publikováno v:
Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining.
Occurrences of catastrophes such as natural or man-made disasters trigger the spread of rumours over social media at a rapid pace. Presenting a trustworthy and summarized account of the unfolding event in near real-time to the consumers of such poten
Autor:
Ashwin Bhoyar, Sayan Mandal, Madhumita Bharde, Niloy Ganguly, Sourangshu Bhattacharya, Suparna Bhattacharya, Soumi Das
Publikováno v:
Pattern Recognition Letters. 133:349-355
Data Subset selection for training learning models for a variety of tasks, has been widely studied in the literature of batch mode active learning. Recent works attempt to utilize the model specific signals in the deep learning context for computer v
Publikováno v:
International Journal of Data Science and Analytics. 10:249-264
Environmental and climate models used for weather prediction require evenly spaced meteorological datasets at a very high spatial and temporal resolution to facilitate the analysis of recent climatic changes. However, due to the small number of weath
Publikováno v:
SSRN Electronic Journal.
Aspect Sentiment Triplet Extraction (ASTE) deals with extracting opinion triplets, consisting of an opinion target or aspect, its associated sentiment, and the corresponding opinion term/span explaining the rationale behind the sentiment. Existing re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::47e7b612c885b09c71bd4c858778cd03
http://arxiv.org/abs/2110.04794
http://arxiv.org/abs/2110.04794
Autor:
Soumi Das, Harikrishna Patibandla, Suparna Bhattacharya, Kshounis Bera, Niloy Ganguly, Sourangshu Bhattacharya
Publikováno v:
2021 IEEE/CVF International Conference on Computer Vision (ICCV).