Uttam Kumar

According to our database, Uttam Kumar authored at least 23 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Continual learning with task specialist.

Indu Solomon, Aye Phyu Phyu Aung, Uttam Kumar, Senthilnath Jayavelu

CoRR, 2024

Spatiotemporal Forecasting of Traffic Flow Using Wavelet-Based Temporal Attention.

Yash Jakhmola, Madhurima Panja, Nitish Kumar Mishra, Kripabandhu Ghosh, Uttam Kumar, Tanujit Chakraborty

IEEE Access, 2024

Advancing Image Classification through Parameter-Efficient Fine-Tuning: A Study on LoRA with Plant Disease Detection Datasets.

Deeksha Aggarwal, Yash Mittal, Uttam Kumar

Proceedings of the Second Tiny Papers Track at ICLR 2024, 2024

U-Tell: Unsupervised Task Expert Lifelong Learning.

Indu Solomon, Aye Phyu Phyu Aung, Uttam Kumar, Senthilnath Jayavelu

Proceedings of the IEEE International Conference on Image Processing, 2024

2023

Epicasting: An Ensemble Wavelet Neural Network for forecasting epidemics.

Madhurima Panja, Tanujit Chakraborty, Uttam Kumar, Nan Liu

Neural Networks, August, 2023

Prediction of Transportation Index for Urban Patterns in Small and Medium-sized Indian Cities using Hybrid RidgeGAN Model.

Rahisha Thottolil, Uttam Kumar, Tanujit Chakraborty

CoRR, 2023

Topological Classification of Small and Medium Sized Urban Road Networks - A Case Study of Indian Cities.

Rahisha Thottolil, Uttam Kumar

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Probabilistic AutoRegressive Neural Networks for Accurate Long-Range Forecasting.

Madhurima Panja, Tanujit Chakraborty, Uttam Kumar, Abdenour Hadid

Proceedings of the Neural Information Processing - 30th International Conference, 2023

Data Generation with Structure Enforcing Adversarial Learning.

Indu Solomon, Uttam Kumar, Senthilnath Jayavelu

Proceedings of the IEEE International Conference on Image Processing, 2023

2022

An ensemble neural network approach to forecast Dengue outbreak based on climatic condition.

Madhurima Panja, Tanujit Chakraborty, Sk. Shahid Nadim, Indrajit Ghosh, Uttam Kumar, Nan Liu

CoRR, 2022

Epicasting: An Ensemble Wavelet Neural Network (EWNet) for Forecasting Epidemics.

Madhurima Panja, Tanujit Chakraborty, Uttam Kumar, Nan Liu

CoRR, 2022

An Interpretable Probabilistic Autoregressive Neural Network Model for Time Series Forecasting.

Madhurima Panja, Uttam Kumar, Tanujit Chakraborty

CoRR, 2022

Searching for Heavy-Tailed Probability Distributions for Modeling Real-World Complex Networks.

Tanujit Chakraborty, Swarup Chattopadhyay, Suchismita Das, Uttam Kumar, J. Senthilnath

IEEE Access, 2022

Towards Building a Flexible Online Learning Model for Data Stream Classification.

Deeksha Aggarwal, Uttam Kumar, J. Senthilnath

Proceedings of the CODS-COMAD 2022: 5th Joint International Conference on Data Science & Management of Data (9th ACM IKDD CODS and 27th COMAD), Bangalore, India, January 8, 2022

Data Oversampling with Structure Preserving Variational Learning.

Indu Solomon, Senthilnath Jayavelu, Md Meftahul Ferdaus, Uttam Kumar

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

SGDOL: Self-evolving Generative and Discriminative Online Learning for Data Stream Classification.

Deeksha Aggarwal, J. Senthilnath, Uttam Kumar, Vivek Yadav, Sushant Kulkarni, Md Meftahul Ferdaus, Xiaoli Li

Proceedings of the 2021 International Conference on Data Mining, 2021

2018

Automatic feature selection for Landsat-8 and Sentinel-2 image co-registration using SURFFANN.

Rahul Ambati, Chakravardhan Reddy, Smit Patel, Sandeep Tadepalli, Uttam Kumar

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018

2017

Exploring Subpixel Learning Algorithms for Estimating Global Land Cover Fractions from Satellite Data Using High Performance Computing.

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

Remote. Sens., 2017

2015

A Semiautomated Probabilistic Framework for Tree-Cover Delineation From 1-m NAIP Imagery Using a High-Performance Computing Architecture.

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

IEEE Trans. Geosci. Remote. Sens., 2015

Unconstrained Linear Spectral Mixture Models for Spatial Information Extraction: A Comparative Study.

Uttam Kumar, Cristina Milesi, S. Kumar Raja, Sangram Ganguly, Ramakrishna R. Nemani

Proceedings of the 2015 IEEE International Conference on Information Reuse and Integration, 2015

Simplex Projection for Land Cover Information Mining from Landsat-5 TM Data.

Uttam Kumar, Cristina Milesi, Sangram Ganguly, S. Kumar Raja, Ramakrishna R. Nemani

Proceedings of the 2015 IEEE International Conference on Information Reuse and Integration, 2015

2012

A Neural Network Based Hybrid Mixture Model to Extract Information from Non-linear Mixed Pixels.

Uttam Kumar, S. Kumar Raja, Chiranjit Mukhopadhyay, T. V. Ramachandra

Inf., 2012

2011

Hybrid Bayesian Classifier for Improved Classification Accuracy.

Uttam Kumar, S. Kumar Raja, Chiranjit Mukhopadhyay, T. V. Ramachandra

IEEE Geosci. Remote. Sens. Lett., 2011