Zobrazeno 1 - 10
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pro vyhledávání: '"SINGH, NEERAJ"'
Autor:
Sankarapu, Vinay Kumar, Chitroda, Chintan, Rathore, Yashwardhan, Singh, Neeraj Kumar, Seth, Pratinav
The rapid advancement of artificial intelligence has led to increasingly sophisticated deep learning models, which frequently operate as opaque 'black boxes' with limited transparency in their decision-making processes. This lack of interpretability
Externí odkaz:
http://arxiv.org/abs/2411.12643
Autor:
Ganesan, Balaji, Pasha, Matheen Ahmed, Parkala, Srinivasa, Singh, Neeraj R, Mishra, Gayatri, Bhatia, Sumit, Patel, Hima, Naganna, Somashekar, Mehta, Sameep
Explaining neural model predictions to users requires creativity. Especially in enterprise applications, where there are costs associated with users' time, and their trust in the model predictions is critical for adoption. For link prediction in mast
Externí odkaz:
http://arxiv.org/abs/2403.09806
Autor:
Ferrarotti, Flavio, Rivière, Peter, Schewe, Klaus-Dieter, Singh, Neeraj Kumar, Ameur, Yamine Aït
The verification of liveness conditions is an important aspect of state-based rigorous methods. This article investigates this problem in a fragment $\square$LTL of the logic LTL(EB), the integration of the UNTIL-fragment of Pnueli's linear time temp
Externí odkaz:
http://arxiv.org/abs/2401.16838
Autor:
Singh, Neeraj, Kapoor, Sanjeev
Publikováno v:
Journal of Agribusiness in Developing and Emerging Economies, 2023, Vol. 14, Issue 5, pp. 1176-1194.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/JADEE-09-2022-0204
Autor:
Singh, Neeraj, Kapoor, Sanjeev
Publikováno v:
Journal of Agribusiness in Developing and Emerging Economies, 2023, Vol. 14, Issue 5, pp. 997-1014.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/JADEE-08-2022-0178
Warning: This paper contains examples of the language that some people may find offensive. Detecting and reducing hateful, abusive, offensive comments is a critical and challenging task on social media. Moreover, few studies aim to mitigate the inten
Externí odkaz:
http://arxiv.org/abs/2312.13193
Autor:
Singh, Neeraj Kumar, Pal, Nikhil R.
In this era of artificial intelligence, deep neural networks like Convolutional Neural Networks (CNNs) have emerged as front-runners, often surpassing human capabilities. These deep networks are often perceived as the panacea for all challenges. Unfo
Externí odkaz:
http://arxiv.org/abs/2311.08314
Publikováno v:
RSC Adv., 2017,7, 17071-17075
For the first time, successful synthesis and characterisation of the missing (Z)-isomer of thallium(I) methanediazotate has been accomplished, utilising low-temperature NMR monitoring analysis. The title compound was synthesised from N-methyl-N-nitro
Publikováno v:
Org. Chem. Front., 2017,4, 191-195
For the first time, successful synthesis of an unknown class of compounds, 3-azido-2H-azirines, which are implicated as highly reactive intermediates in the thermolysis of the corresponding 1,1-diazidoethenes, has been performed. These elusive hetero