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ORCIDUttam Kumar
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[c21]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- [c20]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: 258-270 - [i7]Indu Solomon, Aye Phyu Phyu Aung, Uttam Kumar, Senthilnath Jayavelu:
U-TELL: Unsupervised Task Expert Lifelong Learning. CoRR abs/2405.14623 (2024) - 2023
- [j9]Madhurima Panja
, Tanujit Chakraborty, Uttam Kumar, Nan Liu:
Epicasting: An Ensemble Wavelet Neural Network for forecasting epidemics. Neural Networks 165: 185-212 (2023) - [c19]Uttam Kumar, Subrajeet Mohapatra, Prabodha Ranjan Sahoo:
Implementation of Bagging Ensemble Deep Covnets for Iron Ore Image Characterization. ICCCNT 2023: 1-6 - [c18]Indu Solomon, Uttam Kumar, Senthilnath Jayavelu:
Data Generation with Structure Enforcing Adversarial Learning. ICIP 2023: 2530-2534 - [c17]Madhurima Panja, Tanujit Chakraborty, Uttam Kumar, Abdenour Hadid:
Probabilistic AutoRegressive Neural Networks for Accurate Long-Range Forecasting. ICONIP (13) 2023: 457-477 - [c16]Rahisha Thottolil, Uttam Kumar:
Topological Classification of Small and Medium Sized Urban Road Networks - A Case Study of Indian Cities. IGARSS 2023: 3628-3631 - [i6]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
- [j8]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: 70712-70723 (2022) - [j7]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) - [c15]Indu Solomon, Senthilnath Jayavelu, Md Meftahul Ferdaus, Uttam Kumar:
Data Oversampling with Structure Preserving Variational Learning. CIKM 2022: 4490-4494 - [c14]Nayna Jain, Karthik Nandakumar, Nalini K. Ratha, Sharath Pankanti, Uttam Kumar:
PPDL - Privacy Preserving Deep Learning Using Homomorphic Encryption. COMAD/CODS 2022: 318-319 - [c13]Deeksha Aggarwal, Uttam Kumar, J. Senthilnath:
Towards Building a Flexible Online Learning Model for Data Stream Classification. COMAD/CODS 2022: 320-321 - [e1]Nandana Mihindukulasooriya, Mohnish Dubey, Alfio Gliozzo, Jens Lehmann, Axel-Cyrille Ngonga Ngomo, Ricardo Usbeck, Gaetano Rossiello, Uttam Kumar:
Proceedings of the SeMantic Answer Type and Relation Prediction Task at ISWC 2021 Semantic Web Challenge (SMART2021) co-located with the 20th International Semantic Web Conference (ISWC 2021), Virtual Conference, October 26th, 2021. CEUR Workshop Proceedings 3119, CEUR-WS.org 2022 [contents] - [i5]Madhurima Panja, Uttam Kumar, Tanujit Chakraborty:
An Interpretable Probabilistic Autoregressive Neural Network Model for Time Series Forecasting. CoRR abs/2204.09640 (2022) - [i4]Madhurima Panja, Tanujit Chakraborty, Uttam Kumar, Nan Liu:
Epicasting: An Ensemble Wavelet Neural Network (EWNet) for Forecasting Epidemics. CoRR abs/2206.10696 (2022) - [i3]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
- [c12]Nayna Jain, Karthik Nandakumar, Nalini K. Ratha, Sharath Pankanti, Uttam Kumar:
CryptInfer: Enabling Encrypted Inference on Skin Lesion Images for Melanoma Detection. AIMLSystems 2021: 13:1-13:7 - [c11]Uttam Kumar, Adly T. Fam:
A Fast Stacker Based on Symmetric Stacking, Multiplexing, and Barrel-Shifting. CCWC 2021: 1088-1092 - [c10]Praveen Nair, Uttam Kumar, Sowmith Nandan:
COVID-19 Social Distance Surveillance Using Deep Learning. CVIP (2) 2021: 288-298 - [c9]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: 299-307 - [c8]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 - [c7]Nayna Jain, Karthik Nandakumar, Nalini K. Ratha, Sharath Pankanti, Uttam Kumar:
Optimizing Homomorphic Encryption based Secure Image Analytics. MMSP 2021: 1-6 - [i2]Nayna Jain, Karthik Nandakumar, Nalini K. Ratha, Sharath Pankanti, Uttam Kumar:
Efficient CNN Building Blocks for Encrypted Data. CoRR abs/2102.00319 (2021) - [i1]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 abs/2112.07606 (2021) - 2020
- [c6]B. Sudarshan Rao, Manjit Hota, Uttam Kumar:
Crop Classification from UAV-Based Multi-spectral Images Using Deep Learning. CVIP (1) 2020: 475-486 - [c5]Uttam Kumar, Adly T. Fam:
Multipliers based on the Interlaced Carry Arrest Addition. MWSCAS 2020: 1088-1091 - [c4]Sowbarnika Thiruppathiraj, Uttam Kumar, Swapnil Buchke:
Automatic pothole classification and segmentation using android smartphone sensors and camera images with machine learning techniques. TENCON 2020: 1386-1391
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
- [j6]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) - 2016
- [j5]Uttam Kumar:
Neural dichotomy of word concreteness: a view from functional neuroimaging. Cogn. Process. 17(1): 39-48 (2016) - 2015
- [j4]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
- [j3]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
- [j2]T. V. Ramachandra, Uttam Kumar:
Characterisation of Landscape with Forest Fragmentation Dynamics. J. Geogr. Inf. Syst. 3(3): 242-253 (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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last updated on 2024-10-07 21:12 CEST by the dblp team
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