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Uttam Kumar 0001
Person information
- affiliation: Center for Data Science, International Institute of Information Technology, Bangalore, Bengaluru, India
Other persons with the same name
- Uttam Kumar — disambiguation page
- Uttam Kumar 0002
— Data Science and Intelligent Systems Group (DSIS), University of Bonn, Bonn, Germany
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2020 – today
- 2024
- [j7]Yash Jakhmola
, Madhurima Panja
, Nitish Kumar Mishra
, Kripabandhu Ghosh
, Uttam Kumar
, Tanujit Chakraborty
:
Spatiotemporal Forecasting of Traffic Flow Using Wavelet-Based Temporal Attention. IEEE Access 12: 188797-188812 (2024) - [c10]Deeksha Aggarwal, Yash Mittal, Uttam Kumar:
Advancing Image Classification through Parameter-Efficient Fine-Tuning: A Study on LoRA with Plant Disease Detection Datasets. Tiny Papers @ ICLR 2024 - [i6]Indu Solomon, Aye Phyu Phyu Aung, Uttam Kumar, Senthilnath Jayavelu:
U-TELL: Unsupervised Task Expert Lifelong Learning. CoRR abs/2405.14623 (2024) - [i5]Indu Solomon, Aye Phyu Phyu Aung, Uttam Kumar, Senthilnath Jayavelu:
Continual learning with task specialist. CoRR abs/2409.17806 (2024) - 2023
- [j6]Madhurima Panja
, Tanujit Chakraborty
, Uttam Kumar, Nan Liu
:
Epicasting: An Ensemble Wavelet Neural Network for forecasting epidemics. Neural Networks 165: 185-212 (2023) - [c9]Indu Solomon, Uttam Kumar, Senthilnath Jayavelu
:
Data Generation with Structure Enforcing Adversarial Learning. ICIP 2023: 2530-2534 - [c8]Madhurima Panja
, Tanujit Chakraborty
, Uttam Kumar, Abdenour Hadid:
Probabilistic AutoRegressive Neural Networks for Accurate Long-Range Forecasting. ICONIP (13) 2023: 457-477 - [c7]Rahisha Thottolil, Uttam Kumar:
Topological Classification of Small and Medium Sized Urban Road Networks - A Case Study of Indian Cities. IGARSS 2023: 3628-3631 - [i4]Rahisha Thottolil, Uttam Kumar, Tanujit Chakraborty:
Prediction of Transportation Index for Urban Patterns in Small and Medium-sized Indian Cities using Hybrid RidgeGAN Model. CoRR abs/2306.05951 (2023) - 2022
- [j5]Tanujit Chakraborty
, Swarup Chattopadhyay, Suchismita Das
, Uttam Kumar, J. Senthilnath
:
Searching for Heavy-Tailed Probability Distributions for Modeling Real-World Complex Networks. IEEE Access 10: 115092-115107 (2022) - [c6]Indu Solomon, Senthilnath Jayavelu
, Md Meftahul Ferdaus, Uttam Kumar:
Data Oversampling with Structure Preserving Variational Learning. CIKM 2022: 4490-4494 - [c5]Deeksha Aggarwal, Uttam Kumar, J. Senthilnath:
Towards Building a Flexible Online Learning Model for Data Stream Classification. COMAD/CODS 2022: 320-321 - [i3]Madhurima Panja, Uttam Kumar, Tanujit Chakraborty:
An Interpretable Probabilistic Autoregressive Neural Network Model for Time Series Forecasting. CoRR abs/2204.09640 (2022) - [i2]Madhurima Panja
, Tanujit Chakraborty
, Uttam Kumar, Nan Liu:
Epicasting: An Ensemble Wavelet Neural Network (EWNet) for Forecasting Epidemics. CoRR abs/2206.10696 (2022) - [i1]Madhurima Panja
, Tanujit Chakraborty
, Sk. Shahid Nadim, Indrajit Ghosh, Uttam Kumar, Nan Liu:
An ensemble neural network approach to forecast Dengue outbreak based on climatic condition. CoRR abs/2212.08323 (2022) - 2021
- [c4]Deeksha Aggarwal, J. Senthilnath
, Uttam Kumar, Vivek Yadav, Sushant Kulkarni, Md Meftahul Ferdaus, Xiaoli Li:
SGDOL: Self-evolving Generative and Discriminative Online Learning for Data Stream Classification. ICDM (Workshops) 2021: 322-330
2010 – 2019
- 2018
- [c3]Rahul Ambati, Chakravardhan Reddy, Smit Patel, Sandeep Tadepalli, Uttam Kumar
:
Automatic feature selection for Landsat-8 and Sentinel-2 image co-registration using SURFFANN. SSCI 2018: 1884-1889 - 2017
- [j4]Uttam Kumar
, Sangram Ganguly, Ramakrishna R. Nemani, S. Kumar Raja, Cristina Milesi, Ruchita Sinha, Andrew R. Michaelis, Petr Votava, Hirofumi Hashimoto
, Shuang Li, Weile Wang, Subodh Kalia, Shreekant Gayaka:
Exploring Subpixel Learning Algorithms for Estimating Global Land Cover Fractions from Satellite Data Using High Performance Computing. Remote. Sens. 9(11): 1105 (2017) - 2015
- [j3]Saikat Basu, Sangram Ganguly, Ramakrishna R. Nemani, Supratik Mukhopadhyay, Gong Zhang, Cristina Milesi, Andrew R. Michaelis, Petr Votava, Ralph Dubayah, Laura Duncanson
, Bruce D. Cook, Yifan Yu
, Sassan Saatchi, Robert DiBiano, Manohar Karki
, Edward Boyda, Uttam Kumar
, Shuang Li:
A Semiautomated Probabilistic Framework for Tree-Cover Delineation From 1-m NAIP Imagery Using a High-Performance Computing Architecture. IEEE Trans. Geosci. Remote. Sens. 53(10): 5690-5708 (2015) - [c2]Uttam Kumar
, Cristina Milesi, Sangram Ganguly, S. Kumar Raja, Ramakrishna R. Nemani:
Simplex Projection for Land Cover Information Mining from Landsat-5 TM Data. IRI 2015: 244-251 - [c1]Uttam Kumar
, Cristina Milesi, S. Kumar Raja, Sangram Ganguly, Ramakrishna R. Nemani:
Unconstrained Linear Spectral Mixture Models for Spatial Information Extraction: A Comparative Study. IRI 2015: 574-581 - 2012
- [j2]Uttam Kumar
, S. Kumar Raja, Chiranjit Mukhopadhyay, T. V. Ramachandra
:
A Neural Network Based Hybrid Mixture Model to Extract Information from Non-linear Mixed Pixels. Inf. 3(3): 420-441 (2012) - 2011
- [j1]Uttam Kumar
, S. Kumar Raja, Chiranjit Mukhopadhyay, T. V. Ramachandra
:
Hybrid Bayesian Classifier for Improved Classification Accuracy. IEEE Geosci. Remote. Sens. Lett. 8(3): 474-477 (2011)
Coauthor Index
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