Uttam Kumar

According to our database, Uttam Kumar authored at least 37 papers between 2011 and 2024.

Collaborative distances:

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

2024

U-TELL: Unsupervised Task Expert Lifelong Learning.

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

CoRR, 2024

Co-ReaSON: EEG-based Onset Detection of Focal Epileptic Seizures with Multimodal Feature Representations.

Uttam Kumar, Ran Yu, Michael Wenzel, Elena Demidova

Proceedings of the Advances in Knowledge Discovery and Data Mining, 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

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

Implementation of Bagging Ensemble Deep Covnets for Iron Ore Image Characterization.

Uttam Kumar, Subrajeet Mohapatra, Prabodha Ranjan Sahoo

Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 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

SGPT: A Generative Approach for SPARQL Query Generation From Natural Language Questions.

Md. Rashad Al Hasan Rony, Uttam Kumar, Roman Teucher, Liubov Kovriguina, Jens Lehmann

IEEE Access, 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

PPDL - Privacy Preserving Deep Learning Using Homomorphic Encryption.

Nayna Jain, Karthik Nandakumar, Nalini K. Ratha, Sharath Pankanti, Uttam Kumar

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

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

Semantic Answer Type and Relation Prediction Task (SMART 2021).

Nandana Mihindukulasooriya, Mohnish Dubey, Alfio Gliozzo, Jens Lehmann, Axel-Cyrille Ngonga Ngomo, Ricardo Usbeck, Gaetano Rossiello, Uttam Kumar

CoRR, 2021

Efficient CNN Building Blocks for Encrypted Data.

Nayna Jain, Karthik Nandakumar, Nalini K. Ratha, Sharath Pankanti, Uttam Kumar

CoRR, 2021

Optimizing Homomorphic Encryption based Secure Image Analytics.

Nayna Jain, Karthik Nandakumar, Nalini K. Ratha, Sharath Pankanti, Uttam Kumar

Proceedings of the 23rd International Workshop on Multimedia Signal Processing, 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

COVID-19 Social Distance Surveillance Using Deep Learning.

Praveen Nair, Uttam Kumar, Sowmith Nandan

Proceedings of the Computer Vision and Image Processing - 6th International Conference, 2021

Towards Semi-supervised Tree Canopy Detection and Extraction from UAV Images.

Uttam Kumar, Anindita Dasgupta, Lingamallu S. N. Venkata Vamsi Krishna, Pranav Kumar Chintakunta

Proceedings of the Computer Vision and Image Processing - 6th International Conference, 2021

A Fast Stacker Based on Symmetric Stacking, Multiplexing, and Barrel-Shifting.

Uttam Kumar, Adly T. Fam

Proceedings of the 11th IEEE Annual Computing and Communication Workshop and Conference, 2021

CryptInfer: Enabling Encrypted Inference on Skin Lesion Images for Melanoma Detection.

Nayna Jain, Karthik Nandakumar, Nalini K. Ratha, Sharath Pankanti, Uttam Kumar

Proceedings of the AIMLSystems 2021: The First International Conference on AI-ML-Systems, Bangalore India, October 21, 2021

2020

Automatic pothole classification and segmentation using android smartphone sensors and camera images with machine learning techniques.

Sowbarnika Thiruppathiraj, Uttam Kumar, Swapnil Buchke

Proceedings of the 2020 IEEE Region 10 Conference, 2020

Multipliers based on the Interlaced Carry Arrest Addition.

Uttam Kumar, Adly T. Fam

Proceedings of the 63rd IEEE International Midwest Symposium on Circuits and Systems, 2020

Crop Classification from UAV-Based Multi-spectral Images Using Deep Learning.

B. Sudarshan Rao, Manjit Hota, Uttam Kumar

Proceedings of the Computer Vision and Image Processing - 5th International Conference, 2020

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

2016

Neural dichotomy of word concreteness: a view from functional neuroimaging.

Uttam Kumar

Cogn. Process., 2016

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

Characterisation of Landscape with Forest Fragmentation Dynamics.

T. V. Ramachandra, Uttam Kumar

J. Geogr. Inf. Syst., 2011