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Venkatesh Umaashankar
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2020 – today
- 2022
- [c6]Joy Bose
, Ranjani H. G, Serene Banerjee, Venkatesh Umaashankar:
Prediction of Throughput Degradation from Trouble Frequencies, given Environmental Unknowns. COMSNETS 2022: 236-240 - [c5]H. G. Ranjani, Sleeba Paul Puthepurakel, Arthur Brisebois, Serene Banerjee, Venkatesh Umaashankar:
Time series based approach for detecting Passive Intermodulation occurrences in cellular network. COMSNETS 2022: 630-638 - 2021
- [j1]Jaeseong Jeong
Mobility Prediction for 5G Core Networks. IEEE Commun. Stand. Mag. 5(1): 56-61 (2021)
2010 – 2019
- 2019
- [c4]Raghavan A. K., Venkatesh Umaashankar, Gautham Krishna Gudur:
Label Frequency Transformation for Multi-Label Multi-Class Text Classification. KONVENS 2019 - [c3]Venkatesh Umaashankar, Girish Shanmugam S:
Multi-Label Multi-Class Hierarchical Classification using Convolutional Seq2Seq. KONVENS 2019 - [i4]Venkatesh Umaashankar, Girish Shanmugam S:
Ask less - Scale Market Research without Annoying Your Customers. CoRR abs/1901.08744 (2019) - [i3]Gautham Krishna Gudur, Prahalathan Sundaramoorthy, Venkatesh Umaashankar:
ActiveHARNet: Towards On-Device Deep Bayesian Active Learning for Human Activity Recognition. CoRR abs/1906.00108 (2019) - [i2]Venkatesh Umaashankar, Girish Shanmugam S, Aditi Prakash:
Atlas: A Dataset and Benchmark for E-commerce Clothing Product Categorization. CoRR abs/1908.08984 (2019) - 2018
- [c2]Abdul Arfat Mohammed, Venkatesh Umaashankar:
Effectiveness of Hierarchical Softmax in Large Scale Classification Tasks. ICACCI 2018: 1090-1094 - [i1]Abdul Arfat Mohammed, Venkatesh Umaashankar:
Effectiveness of Hierarchical Softmax in Large Scale Classification Tasks. CoRR abs/1812.05737 (2018) - 2013
- [c1]Jan N. van Rijn, Bernd Bischl, Luís Torgo
OpenML: A Collaborative Science Platform. ECML/PKDD (3) 2013: 645-649
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