Uttam Kumar

26 papers A 2B 2C 1Misc 2Journal 13Unranked 5
YearRankTypeTitle / Venue / Authors
2026 — ed.
Big Data and Artificial Intelligence - 13th International Conference, BDA 2025, Bangalore, India, July 17-20, 2025, Proceedings
BDA
Rajeev Gupta, Deepak P, Jun Shen, Srinath Srinivasa, Vinu Ellampallil Venugopal, Uttam Kumar
2025 A conf
Caption, Create, Continue: Continual Learning with Pre-trained Generative Vision-Language Models.
CIKM
Indu Solomon, Aye Phyu Phyu Aung, Uttam Kumar, Senthilnath Jayavelu
2024 — conf
Advancing Image Classification through Parameter-Efficient Fine-Tuning: A Study on LoRA with Plant Disease Detection Datasets.
Tiny Papers @ ICLR
Deeksha Aggarwal, Yash Mittal, Uttam Kumar
2024 J jnl
Continual learning with task specialist.
CoRR
Indu Solomon, Aye Phyu Phyu Aung, Uttam Kumar, Senthilnath Jayavelu
2024 J jnl
Spatiotemporal Forecasting of Traffic Flow Using Wavelet-Based Temporal Attention.
IEEE Access
Yash Jakhmola, Madhurima Panja, Nitish Kumar Mishra, Kripabandhu Ghosh, Uttam Kumar, Tanujit Chakraborty
2024 J jnl
U-TELL: Unsupervised Task Expert Lifelong Learning.
CoRR
Indu Solomon, Aye Phyu Phyu Aung, Uttam Kumar, Senthilnath Jayavelu
2024 B conf
U-Tell: Unsupervised Task Expert Lifelong Learning.
ICIP
Indu Solomon, Aye Phyu Phyu Aung, Uttam Kumar, Senthilnath Jayavelu
2023 B conf
Data Generation with Structure Enforcing Adversarial Learning.
ICIP
Indu Solomon, Uttam Kumar, Senthilnath Jayavelu
2023 J jnl
Epicasting: An Ensemble Wavelet Neural Network for forecasting epidemics.
Neural Networks
Madhurima Panja, Tanujit Chakraborty, Uttam Kumar, Nan Liu
2023 J jnl
Prediction of Transportation Index for Urban Patterns in Small and Medium-sized Indian Cities using Hybrid RidgeGAN Model.
CoRR
Rahisha Thottolil, Uttam Kumar, Tanujit Chakraborty
2023 — conf
Probabilistic AutoRegressive Neural Networks for Accurate Long-Range Forecasting.
ICONIP (13)
Madhurima Panja, Tanujit Chakraborty, Uttam Kumar, Abdenour Hadid
2023 C conf
Topological Classification of Small and Medium Sized Urban Road Networks - A Case Study of Indian Cities.
IGARSS
Rahisha Thottolil, Uttam Kumar
2022 J jnl
An Interpretable Probabilistic Autoregressive Neural Network Model for Time Series Forecasting.
CoRR
Madhurima Panja, Uttam Kumar, Tanujit Chakraborty
2022 J jnl
An ensemble neural network approach to forecast Dengue outbreak based on climatic condition.
CoRR
Madhurima Panja, Tanujit Chakraborty, Sk. Shahid Nadim, Indrajit Ghosh, Uttam Kumar, Nan Liu
2022 A conf
Data Oversampling with Structure Preserving Variational Learning.
CIKM
Indu Solomon, Senthilnath Jayavelu, Md Meftahul Ferdaus, Uttam Kumar
2022 J jnl
Epicasting: An Ensemble Wavelet Neural Network (EWNet) for Forecasting Epidemics.
CoRR
Madhurima Panja, Tanujit Chakraborty, Uttam Kumar, Nan Liu
2022 J jnl
Searching for Heavy-Tailed Probability Distributions for Modeling Real-World Complex Networks.
IEEE Access
Tanujit Chakraborty, Swarup Chattopadhyay, Suchismita Das, Uttam Kumar, J. Senthilnath
2022 — conf
Towards Building a Flexible Online Learning Model for Data Stream Classification.
COMAD/CODS
Deeksha Aggarwal, Uttam Kumar, J. Senthilnath
2021 — conf
SGDOL: Self-evolving Generative and Discriminative Online Learning for Data Stream Classification.
ICDM (Workshops)
Deeksha Aggarwal, J. Senthilnath, Uttam Kumar, Vivek Yadav, Sushant Kulkarni, Md Meftahul Ferdaus, Xiaoli Li
2018 — conf
Automatic feature selection for Landsat-8 and Sentinel-2 image co-registration using SURFFANN.
SSCI
Rahul Ambati, Chakravardhan Reddy, Smit Patel, Sandeep Tadepalli, Uttam Kumar
2017 J jnl
Exploring Subpixel Learning Algorithms for Estimating Global Land Cover Fractions from Satellite Data Using High Performance Computing.
Remote. Sens.
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
2015 J jnl
A Semiautomated Probabilistic Framework for Tree-Cover Delineation From 1-m NAIP Imagery Using a High-Performance Computing Architecture.
IEEE Trans. Geosci. Remote. Sens.
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
2015 Misc conf
Simplex Projection for Land Cover Information Mining from Landsat-5 TM Data.
IRI
Uttam Kumar, Cristina Milesi, Sangram Ganguly, S. Kumar Raja, Ramakrishna R. Nemani
2015 Misc conf
Unconstrained Linear Spectral Mixture Models for Spatial Information Extraction: A Comparative Study.
IRI
Uttam Kumar, Cristina Milesi, S. Kumar Raja, Sangram Ganguly, Ramakrishna R. Nemani
2012 J jnl
A Neural Network Based Hybrid Mixture Model to Extract Information from Non-linear Mixed Pixels.
Inf.
Uttam Kumar, S. Kumar Raja, Chiranjit Mukhopadhyay, T. V. Ramachandra
2011 J jnl
Hybrid Bayesian Classifier for Improved Classification Accuracy.
IEEE Geosci. Remote. Sens. Lett.
Uttam Kumar, S. Kumar Raja, Chiranjit Mukhopadhyay, T. V. Ramachandra