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Nihar Bendre, PhD.
Title
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Cited by
Year
Learning from few samples: A survey
N Bendre, HT Marín, P Najafirad
arXiv preprint arXiv:2007.15484, 2020
692020
Human action performance using deep neuro-fuzzy recurrent attention model
N Bendre, N Ebadi, JJ Prevost, P Najafirad
IEEE Access 8, 57749-57761, 2020
382020
Generalized zero-shot learning using multimodal variational auto-encoder with semantic concepts
N Bendre, K Desai, P Najafirad
2021 IEEE International Conference on Image Processing (ICIP), 1284-1288, 2021
252021
Show why the answer is correct! towards explainable ai using compositional temporal attention
N Bendre, K Desai, P Najafirad
2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2021
82021
System and method for human action recognition and intensity indexing from video stream using fuzzy attention machine learning
NS Bendre, N Ebadi, P Najafirad
US Patent App. 17/222,924, 2021
42021
Natural disaster analytics using high resolution satellite images
N Bendre, N Zand, S Bhattarai, I Corley, M Jamshidi, P Najafirad
2022 World Automation Congress (WAC), 371-378, 2022
12022
Communication between Rabbit processor and personal computer using TCP
NS Bendre, PM Sabne, AA Kulkarni
NCRA-GMRT-TIFR, 2012
12012
Explainability with Semantic Concept Composition and Zero-Shot Learning for Anomaly Detection
NS Bendre
The University of Texas at San Antonio, 2021
2021
A Survey of Electronic System Level Based Power Estimation Techniques for Arbitary Logic and Processors
NS Bendre
2015
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Articles 1–9