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ORCIDDinesh Jain
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2020 – today
- 2023
[j3]Tareek M. Pattewar
, Dinesh Jain, B. V. Kiranmayee:
A Buffalo-based bi-directional recurrent paradigm for Indian stock market prediction. Concurr. Comput. Pract. Exp. 35(9) (2023)- 2022
- [j2]Alessio Xompero, Santiago Donaher, Vladimir Iashin, Francesca Palermo, Gökhan Solak, Claudio Coppola, Reina Ishikawa, Yuichi Nagao, Ryo Hachiuma, Qi Liu, Fan Feng, Chuanlin Lan, Rosa H. M. Chan, Guilherme Henrique Galelli Christmann, Jyun-Ting Song, Gonuguntla Neeharika, Chinnakotla Krishna Teja Reddy, Dinesh Jain, Bakhtawar Ur Rehman, Andrea Cavallaro:
The CORSMAL Benchmark for the Prediction of the Properties of Containers. IEEE Access 10: 41388-41402 (2022) - [j1]Tareek M. Pattewar, Dinesh Jain:
Stock prediction analysis by customers opinion in Twitter data using an optimized intelligent model. Soc. Netw. Anal. Min. 12(1): 152 (2022) - 2021
- [i1]Alessio Xompero, Santiago Donaher, Vladimir Iashin, Francesca Palermo, Gökhan Solak, Claudio Coppola, Reina Ishikawa, Yuichi Nagao, Ryo Hachiuma, Qi Liu, Fan Feng, Chuanlin Lan, Rosa H. M. Chan, Guilherme Henrique Galelli Christmann, Jyun-Ting Song, Gonuguntla Neeharika, Chinnakotla Krishna Teja Reddy, Dinesh Jain, Bakhtawar Ur Rehman, Andrea Cavallaro:
Multi-modal estimation of the properties of containers and their content: survey and evaluation. CoRR abs/2107.12719 (2021) - 2020
- [c1]Dinesh Jain, Srinivas Anumasa, P. K. Srijith:
Decision Making under Uncertainty with Convolutional Deep Gaussian Processes. COMAD/CODS 2020: 143-151
Coauthor Index
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