Sangram Ganguly
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
16
Venues
10
Active years
2007–2018
Best venue rank
A*
Where they publish
Papers
16 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2018 | ICDM | Progressively Growing Generative Adversarial Networks for High Resolution Semantic Segmentation of Satellite Images. | Edward Collier, Kate Duffy, Sangram Ganguly, Geri Madanguit, Subodh Kalia, Shreekant Gayaka, Ramakrishna R. Nemani, Andrew R. Michaelis, Shuang Li, Auroop R. Ganguly, Supratik Mukhopadhyay |
| 2018 | IJCAI | Generating High Resolution Climate Change Projections through Single Image Super-Resolution: An Abridged Version. | Thomas Vandal, Evan Kodra, Sangram Ganguly, Andrew R. Michaelis, Ramakrishna R. Nemani, Auroop R. Ganguly |
| 2018 | KDD | Quantifying Uncertainty in Discrete-Continuous and Skewed Data with Bayesian Deep Learning. | Thomas Vandal, Evan Kodra, Jennifer G. Dy, Sangram Ganguly, Ramakrishna R. Nemani, Auroop R. Ganguly |
| 2018 | PPSN | Understanding Climate-Vegetation Interactions in Global Rainforests Through a GP-Tree Analysis. | Anuradha Kodali, Marcin Szubert, Kamalika Das, Sangram Ganguly, Joshua Clifford Bongard |
| 2017 | KDD | DeepSD: Generating High Resolution Climate Change Projections through Single Image Super-Resolution. | Thomas Vandal, Evan Kodra, Sangram Ganguly, Andrew R. Michaelis, Ramakrishna R. Nemani, Auroop R. Ganguly |
| 2016 | GECCO | Reducing Antagonism between Behavioral Diversity and Fitness in Semantic Genetic Programming. | Marcin Szubert, Anuradha Kodali, Sangram Ganguly, Kamalika Das, Josh C. Bongard |
| 2016 | IJCNN | A theoretical analysis of Deep Neural Networks for texture classification. | Saikat Basu, Manohar Karki, Supratik Mukhopadhyay, Sangram Ganguly, Ramakrishna R. Nemani, Robert DiBiano, Shreekant Gayaka |
| 2016 | PPSN | Semantic Forward Propagation for Symbolic Regression. | Marcin Szubert, Anuradha Kodali, Sangram Ganguly, Kamalika Das, Josh C. Bongard |
| 2015 | COMPSAC | An Agile Framework for Real-Time Motion Tracking. | Saikat Basu, Robert DiBiano, Manohar Karki, Malcolm Stagg, Jerry Weltman, Supratik Mukhopadhyay, Sangram Ganguly |
| 2015 | ESANN | Learning Sparse Feature Representations using Probabilistic Quadtrees and Deep Belief Nets. | Saikat Basu, Manohar Karki, Sangram Ganguly, Robert DiBiano, Supratik Mukhopadhyay, Ramakrishna R. Nemani |
| 2015 | IRI | Simplex Projection for Land Cover Information Mining from Landsat-5 TM Data. | Uttam Kumar, Cristina Milesi, Sangram Ganguly, S. Kumar Raja, Ramakrishna R. Nemani |
| 2015 | IRI | Unconstrained Linear Spectral Mixture Models for Spatial Information Extraction: A Comparative Study. | Uttam Kumar, Cristina Milesi, S. Kumar Raja, Sangram Ganguly, Ramakrishna R. Nemani |
| 2010 | IGARSS | Terrestrial vegetation phenology from MODIS and MERIS. | Jeganathan Chockalingam, Sangram Ganguly, Jadu Dash, Mark A. Friedl, Peter M. Atkinson |
| 2009 | IGARSS | Satellite Monitoring of Disturbances in Arctic Ecosystems. | Ana Prieto-Blanco, Mathias Disney, Philip Lewis, Jos Gmez-Dans, Sangram Ganguly |
| 2007 | IGARSS | Retrieving 3D canopy structure from synergistic analysis of multi-angle and lidar data. | Mitchell Schull, Sangram Ganguly, Arindam Samanta, Julian Jenkins, Yuri Knyazikhin, Ranga B. Myneni, Dong Huang |
| 2007 | IGARSS | Physically based methodology for generating LAI and FPAR earth system data records from AVHRR and MODIS. | Sangram Ganguly, Mitchell Schull, Arindam Samanta, Yuri Knyazikhin, Nikolay V. Shabanov, Ranga B. Myneni, Dong Huang |