Uttam Kumar

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 31

Top Topics

Small And Medium Sized

Query Generation

Top Venues

Publications

Uttam Kumar, Ran Yu, Michael Wenzel, Elena Demidova
Co-ReaSON: EEG-based Onset Detection of Focal Epileptic Seizures with Multimodal Feature Representations. PKDD (4) (2024)
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)
Indu Solomon, Aye Phyu Phyu Aung, Uttam Kumar, Senthilnath Jayavelu
U-TELL: Unsupervised Task Expert Lifelong Learning. CoRR (2024)
Madhurima Panja, Tanujit Chakraborty, Uttam Kumar, Abdenour Hadid
Probabilistic AutoRegressive Neural Networks for Accurate Long-Range Forecasting. ICONIP (13) (2023)
Madhurima Panja, Tanujit Chakraborty, Uttam Kumar, Nan Liu
Epicasting: An Ensemble Wavelet Neural Network for forecasting epidemics. Neural Networks 165 (2023)
Indu Solomon, Uttam Kumar, Senthilnath Jayavelu
Data Generation with Structure Enforcing Adversarial Learning. ICIP (2023)
Rahisha Thottolil, Uttam Kumar
Topological Classification of Small and Medium Sized Urban Road Networks - A Case Study of Indian Cities. IGARSS (2023)
Uttam Kumar, Subrajeet Mohapatra, Prabodha Ranjan Sahoo
Implementation of Bagging Ensemble Deep Covnets for Iron Ore Image Characterization. ICCCNT (2023)
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 (2023)
Madhurima Panja, Tanujit Chakraborty, Uttam Kumar, Nan Liu
Epicasting: An Ensemble Wavelet Neural Network (EWNet) for Forecasting Epidemics. CoRR (2022)
Deeksha Aggarwal, Uttam Kumar, J. Senthilnath
Towards Building a Flexible Online Learning Model for Data Stream Classification. COMAD/CODS (2022)
Madhurima Panja, Uttam Kumar, Tanujit Chakraborty
An Interpretable Probabilistic Autoregressive Neural Network Model for Time Series Forecasting. CoRR (2022)
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 (2022)
Nayna Jain, Karthik Nandakumar, Nalini K. Ratha, Sharath Pankanti, Uttam Kumar
PPDL - Privacy Preserving Deep Learning Using Homomorphic Encryption. COMAD/CODS (2022)
Indu Solomon, Senthilnath Jayavelu, Md Meftahul Ferdaus, Uttam Kumar
Data Oversampling with Structure Preserving Variational Learning. CIKM (2022)
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 (2022)
Md. Rashad Al Hasan Rony, Uttam Kumar, Roman Teucher, Liubov Kovriguina, Jens Lehmann
SGPT: A Generative Approach for SPARQL Query Generation From Natural Language Questions. IEEE Access 10 (2022)
Praveen Nair, Uttam Kumar, Sowmith Nandan
COVID-19 Social Distance Surveillance Using Deep Learning. CVIP (2) (2021)
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)
Nayna Jain, Karthik Nandakumar, Nalini K. Ratha, Sharath Pankanti, Uttam Kumar
Efficient CNN Building Blocks for Encrypted Data. CoRR (2021)
Nayna Jain, Karthik Nandakumar, Nalini K. Ratha, Sharath Pankanti, Uttam Kumar
CryptInfer: Enabling Encrypted Inference on Skin Lesion Images for Melanoma Detection. AIMLSystems (2021)
Nayna Jain, Karthik Nandakumar, Nalini K. Ratha, Sharath Pankanti, Uttam Kumar
Optimizing Homomorphic Encryption based Secure Image Analytics. MMSP (2021)
Uttam Kumar, Adly T. Fam
A Fast Stacker Based on Symmetric Stacking, Multiplexing, and Barrel-Shifting. CCWC (2021)
Nandana Mihindukulasooriya, Mohnish Dubey, Alfio Gliozzo, Jens Lehmann, Axel-Cyrille Ngonga Ngomo, Ricardo Usbeck, Gaetano Rossiello, Uttam Kumar
Semantic Answer Type and Relation Prediction Task (SMART 2021). CoRR (2021)
Uttam Kumar, Anindita Dasgupta, Lingamallu S. N. Venkata Vamsi Krishna, Pranav Kumar Chintakunta
Towards Semi-supervised Tree Canopy Detection and Extraction from UAV Images. CVIP (2) (2021)
Sowbarnika Thiruppathiraj, Uttam Kumar, Swapnil Buchke
Automatic pothole classification and segmentation using android smartphone sensors and camera images with machine learning techniques. TENCON (2020)
B. Sudarshan Rao, Manjit Hota, Uttam Kumar
Crop Classification from UAV-Based Multi-spectral Images Using Deep Learning. CVIP (1) (2020)
Uttam Kumar, Adly T. Fam
Multipliers based on the Interlaced Carry Arrest Addition. MWSCAS (2020)
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)
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) (2017)
Uttam Kumar
Neural dichotomy of word concreteness: a view from functional neuroimaging. Cogn. Process. 17 (1) (2016)
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)
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)
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) (2015)
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) (2012)
T. V. Ramachandra, Uttam Kumar
Characterisation of Landscape with Forest Fragmentation Dynamics. J. Geogr. Inf. Syst. 3 (3) (2011)
Uttam Kumar, S. Kumar Raja, Chiranjit Mukhopadhyay, T. V. Ramachandra
Hybrid Bayesian Classifier for Improved Classification Accuracy. IEEE Geosci. Remote. Sens. Lett. 8 (3) (2011)