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2020 – today
- 2024
[c38]Mubashara Akhtar
, Omar Benjelloun, Costanza Conforti, Pieter Gijsbers, Joan Giner-Miguelez, Nitisha Jain, Michael Kuchnik, Quentin Lhoest, Pierre Marcenac, Manil Maskey, Peter Mattson, Luis Oala, Pierre Ruyssen, Rajat Shinde, Elena Simperl, Goeffry Thomas, Slava Tykhonov, Joaquin Vanschoren, Jos van der Velde, Steffen Vogler, Carole-Jean Wu:
Croissant: A Metadata Format for ML-Ready Datasets. DEEM@SIGMOD 2024: 1-6- [c37]Bishwaranjan Bhattacharjee, Aashka Trivedi, Masayasu Muraoka, Muthukumaran Ramasubramanian, Takuma Udagawa, Iksha Gurung, Nishan Pantha, Rong Zhang, Bharath Dandala, Rahul Ramachandran, Manil Maskey, Kaylin M. Bugbee, Michael Little, Elizabeth Fancher, Irina Gerasimov, Armin Mehrabian, Lauren M. Sanders, Sylvain Costes, Sergi Blanco-Cuaresma, Kelly E. Lockhart, Thomas Allen, Félix Grèzes, Megan Ansdell, Alberto Accomazzi, Yousef El-Kurdi, Davis Wertheimer, Birgit Pfitzmann, Cesar Berrospi Ramis, Michele Dolfi, Rafael Teixeira de Lima, Panagiotis Vagenas, S. Karthik Mukkavilli, Peter W. J. Staar, Sanaz Vahidinia, Ryan McGranaghan, Tsengdar J. Lee:
INDUS: Effective and Efficient Language Models for Scientific Applications. EMNLP (Industry Track) 2024: 98-112 - [c36]Paridhi Parajuli, Rajat Shinde, Iksha Gurung, Manil Maskey, Rahul Ramachandran:
Curating AI-Ready Datasets for Equity and Environmental Justice: A Data-Centric AI Case Study. IGARSS 2024: 483-487 - [c35]Brian Freitag, Manil Maskey, Aimee Barciauskas, Jonas Solvsteen, James Colliander, James Munroe:
The Visualization, Exploration, and Data Analysis (VEDA) Platform: A Modular, Open Platform Lowering the Barrier to entry to Cloud Computing. IGARSS 2024: 3736-3739 - [i9]Mubashara Akhtar, Omar Benjelloun, Costanza Conforti, Joan Giner-Miguelez, Nitisha Jain, Michael Kuchnik, Quentin Lhoest, Pierre Marcenac, Manil Maskey, Peter Mattson, Luis Oala, Pierre Ruyssen, Rajat Shinde, Elena Simperl, Goeffry Thomas, Slava Tykhonov, Joaquin Vanschoren, Steffen Vogler, Carole-Jean Wu:
Croissant: A Metadata Format for ML-Ready Datasets. CoRR abs/2403.19546 (2024) - [i8]Johannes Jakubik, Michael Vössing, Manil Maskey, Christopher Wölfle, Gerhard Satzger:
Improving Label Error Detection and Elimination with Uncertainty Quantification. CoRR abs/2405.09602 (2024) - [i7]Bishwaranjan Bhattacharjee, Aashka Trivedi, Masayasu Muraoka, Muthukumaran Ramasubramanian, Takuma Udagawa, Iksha Gurung, Rong Zhang, Bharath Dandala, Rahul Ramachandran, Manil Maskey, Kaylin M. Bugbee, Mike Little, Elizabeth Fancher, Lauren M. Sanders, Sylvain V. Costes, Sergi Blanco-Cuaresma, Kelly E. Lockhart, Thomas Allen, Félix Grèzes, Megan Ansdell, Alberto Accomazzi, Yousef El-Kurdi, Davis Wertheimer, Birgit Pfitzmann, Cesar Berrospi Ramis, Michele Dolfi, Rafael Teixeira de Lima, Panagiotis Vagenas, S. Karthik Mukkavilli, Peter W. J. Staar, Sanaz Vahidinia, Ryan McGranaghan, Armin Mehrabian, Tsengdar J. Lee:
INDUS: Effective and Efficient Language Models for Scientific Applications. CoRR abs/2405.10725 (2024) - [i6]Aman Gupta, Aditi Sheshadri, Sujit Roy, Vishal Gaur, Manil Maskey, Rahul Ramachandran:
Machine Learning Global Simulation of Nonlocal Gravity Wave Propagation. CoRR abs/2406.14775 (2024) - [i5]Nitisha Jain, Mubashara Akhtar, Joan Giner-Miguelez, Rajat Shinde, Joaquin Vanschoren, Steffen Vogler, Subhra S. Goswami, Yuhan Rao, Tim Santos, Luis Oala, Michalis Karamousadakis, Manil Maskey, Pierre Marcenac, Costanza Conforti, Michael Kuchnik, Lora Aroyo, Omar Benjelloun, Elena Simperl:
A Standardized Machine-readable Dataset Documentation Format for Responsible AI. CoRR abs/2407.16883 (2024) - [i4]Johannes Schmude, Sujit Roy, Will Trojak, Johannes Jakubik, Daniel Salles Civitarese, Shraddha Singh, Julian Kuehnert, Kumar Ankur, Aman Gupta, Christopher Phillips, Romeo Kienzler, Daniela Szwarcman, Vishal Gaur, Rajat Shinde, Rohit Lal, Arlindo Da Silva, Jorge Luis Guevara Diaz, Anne Jones, Simon Pfreundschuh, Amy Lin, Aditi Sheshadri, Udaysankar Nair, Valentine Anantharaj, Hendrik F. Hamann, Campbell D. Watson, Manil Maskey, Tsengdar J. Lee, Juan Bernabé-Moreno, Rahul Ramachandran:
Prithvi WxC: Foundation Model for Weather and Climate. CoRR abs/2409.13598 (2024) - 2023
- [c34]Lillianne Thomas, Slesa Adhikari, Iksha Gurung, Aaron Kaulfus, Muthukumaran Ramasubramanian, Manil Maskey, Rahul Ramachandran:
Observing Supraglacial Lakes Using Deep Learning and Planetscope Imagery. IGARSS 2023: 32-35 - [c33]Anca Anghelea, Manil Maskey, Shin-ichi Sobue, Naoko Sugita:
The NASA-ESA-JAXA Earth Observation Dashboard. IGARSS 2023: 418-420 - [c32]Iksha Gurung, Slesa Adhikari, Abdelhak Marouane, Rajesh Pandey, Satkar Dhakal, Manil Maskey:
Exploring Blockchain to Support Open Science Practices. IGARSS 2023: 1205-1208 - [c31]Muthukumaran Ramasubramanian, Iksha Gurung, Leo Thomas, Kathryn Berger, Soumya Ranjan, Heidi Mok, Sowmya Subramanian, Vitor George, Manil Maskey, Rahul Ramachandran:
A Framework for Large Scale Semantic Similarity Search on Satellite Imagery. IGARSS 2023: 1404-1407 - [i3]Johannes Jakubik, Sujit Roy, C. E. Phillips, Paolo Fraccaro, Denys Godwin, Bianca Zadrozny, Daniela Szwarcman, Carlos Gomes, Gabby Nyirjesy, Blair Edwards, Daiki Kimura, Naomi Simumba, Linsong Chu, S. Karthik Mukkavilli, Devyani Lambhate, Kamal Das, Ranjini Bangalore, Dário A. B. Oliveira, Michal Muszynski, Kumar Ankur, Muthukumaran Ramasubramanian, Iksha Gurung, Sam Khallaghi, Hanxi Li, Michael Cecil, Maryam Ahmadi, Fatemeh Kordi, Hamed Alemohammad, Manil Maskey, Raghu K. Ganti, Kommy Weldemariam, Rahul Ramachandran:
Foundation Models for Generalist Geospatial Artificial Intelligence. CoRR abs/2310.18660 (2023) - [i2]Muthukumaran Ramasubramanian, Iksha Gurung, Shubhankar Gahlot, Ronny Hänsch, Andrew L. Molthan, Manil Maskey:
Leveraging Citizen Science for Flood Extent Detection using Machine Learning Benchmark Dataset. CoRR abs/2311.09276 (2023) - [i1]Luis Oala, Manil Maskey, Lilith Bat-Leah, Alicia Parrish, Nezihe Merve Gürel, Tzu-Sheng Kuo, Yang Liu, Rotem Dror, Danilo Brajovic, Xiaozhe Yao, Max Bartolo, William Gaviria Rojas, Ryan Hileman, Rainier Aliment, Michael W. Mahoney, Meg Risdal, Matthew Lease, Wojciech Samek, Debojyoti Dutta, Curtis G. Northcutt, Cody Coleman, Braden Hancock, Bernard Koch, Girmaw Abebe Tadesse, Bojan Karlas, Ahmed M. Alaa, Adji Bousso Dieng, Natasha F. Noy, Vijay Janapa Reddi, James Zou, Praveen K. Paritosh, Mihaela van der Schaar, Kurt D. Bollacker, Lora Aroyo, Ce Zhang, Joaquin Vanschoren, Isabelle Guyon, Peter Mattson:
DMLR: Data-centric Machine Learning Research - Past, Present and Future. CoRR abs/2311.13028 (2023) - 2022
- [c30]Rahul Ramachandran, Muthukumaran Ramasubramanian, P. Koirala, Iksha Gurung, Manil Maskey:
Language Model for Earth Science: Exploring Potential Downstream Applications as well as Current Challenges. IGARSS 2022: 4015-4018 - [c29]Brian Ellingson, Eddie Campos, Will Ellett, Taylor Wright, Daine Wright, Kimberly Broughton, Tammy Walker, Manil Maskey, Geoffrey T. Stano:
Earthdata Pub: An Enterprise-Wide Solution to Submit Data to NASA's Distributed Active Archive Centers. IGARSS 2022: 4027-4029 - [c28]Manil Maskey, Rahul Ramachandran, Iksha Gurung, Muthukumaran Ramasubramanian, Anirudh Koul:
Artificial Intelligence Vis-à-Vis Data Systems. IGARSS 2022: 5081-5084 - 2021
- [j11]Manil Maskey, Timothy S. Newman:
On measuring and employing texture directionality for image classification. Pattern Anal. Appl. 24(4): 1649-1665 (2021) - [j10]Jeanné le Roux, Sundar A. Christopher, Manil Maskey:
Exploring the Use of PlanetScope Data for Particulate Matter Air Quality Research. Remote. Sens. 13(15): 2981 (2021) - [c27]Manil Maskey, Alfreda Hall, Kevin Murphy, Compton Tucker, Will McCarty, Aaron Kaulfus:
Commercial Smallsat Data Acquisition: Program Update. IGARSS 2021: 600-603 - [c26]Rahul Ramachandran, Muthukumaran Ramasubramanian, Iksha Gurung, Carson Davis, Derek Koehl, Manil Maskey, Tsengdar J. Lee:
Augmenting Data Systems with Prediction based Embeddings. IGARSS 2021: 1138-1141 - [c25]Shinichi Sobue, Yves-Louis Desnos, Kevin Murphy, Anca Anghelea, Manil Maskey, Michael Falkowski:
Tri-Agency Cooperation to Identify the Impact of COVID-19. IGARSS 2021: 1359-1361 - [c24]Michael Falkowski, Manil Maskey, Shin-ichi Sobue, Gordon Campbell, Gerald W. Bawden, Takeo Tadono:
COIVD-19 Impact Monitoring of Economic Activities. IGARSS 2021: 1366-1369 - [c23]Manil Maskey, Michael Falkowski, Kevin Murphy, Olaf Veerman, Ricardo Mestre, Iksha Gurung, Muthukumaran Ramasubramanian, Lillianne Thomas, Zhuangfang Yi, Drew Bollinger, Abigail Seadler, Yvonne Ivey:
Visualizing, Exploring, and Communicating Environmental Effects of COVID-19 Using Earth Observation Dashboard. IGARSS 2021: 1370-1373 - [c22]Anca Anghelea, Yves-Louis Desnos, Manil Maskey, Shin-ichi Sobue, Stephan Meissl:
The COVID-19 Earth Observation Dashboard: A NASA-ESA-JAXA Collaborative Product. IGARSS 2021: 1556-1559 - [c21]Shinichi Sobue, Gerald W. Bawden, Raj Kumar, Shiro Kawakita, Manil Maskey, Wasanchai Vongsantivanich, David T. Sandwell:
Present and Future Data Visibility and Access of International Virtual SAR Constellation. IGARSS 2021: 1753-1756 - [c20]Geoffrey T. Stano, Yuling Wu, Navaneeth R. Selvaraj, Manil Maskey, Ajinkya Kulkarni:
The Field Campaign Explorer. IGARSS 2021: 3257-3260 - [c19]Jia Zhang, Junhao Shen, Beichen Hu, Rahul Ramachandran, Tsengdar J. Lee, Kwo-Sen Kuo, Manil Maskey, Seungwon Lee:
Graph Convolutional Network-Strengthened Topic Modeling for Scientific Papers. SMDS 2021: 24-32 - 2020
- [j9]Manil Maskey, Rahul Ramachandran, Muthukumaran Ramasubramanian, Iksha Gurung, Brian Freitag, Aaron Kaulfus, Drew Bollinger, Daniel J. Cecil, Jeffrey J. Miller:
Deepti: Deep-Learning-Based Tropical Cyclone Intensity Estimation System. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13: 4271-4281 (2020) - [c18]Manil Maskey, Rahul Ramachandran, Iksha Gurung, Muthukumaran Ramasubramanian, Brian Freitag, Aaron Kaulfus, Georgios Priftis, Drew Bollinger, Ricardo Mestre, Daniel da Silva:
Employing Deep Learning to Enable Visual Exploration of Earth Science Events. IGARSS 2020: 2248-2251 - [c17]Kaylin M. Bugbee, Rahul Ramachandran, Manil Maskey, Aimee Barciauskas, Aaron Kaulfus, Dai Hai Ton That, Katrina Virts, Kel N. Markert, Christopher Lynnes:
Advancing Open Science Through Innovative Data System Solutions: The Joint ESA-NASA Multi-Mission Algorithm and Analysis Platform (MAAP)'s Data Ecosystem. IGARSS 2020: 3097-3100
2010 – 2019
- 2019
- [j8]Iksha Gurung, Chao Peng, Manil Maskey, Rahul Ramachandran:
Deep feature extraction and its application for hailstorm detection in a large collection of radar images. Signal Image Video Process. 13(3): 541-549 (2019) - [j7]Melinda Pullman, Iksha Gurung, Manil Maskey, Rahul Ramachandran, Sundar A. Christopher:
Applying Deep Learning to Hail Detection: A Case Study. IEEE Trans. Geosci. Remote. Sens. 57(12): 10218-10225 (2019) - [c16]Kaylin M. Bugbee, Christopher Lynnes, Manil Maskey, Aimee Barciauskas, Rahul Ramachandran, Aaron Kaulfus, Jeanné le Roux, Jeffrey J. Miller, Iksha Gurung, Amanda S. Whitehurst:
Building a Data Ecosystem: A New Data Stewardship Paradigm for the Multi-Mission Algorithm and Analysis Platform (MAAP). IGARSS 2019: 4261-4264 - [c15]Helen Conover, Brian Ellingson, Bibek Dahal, Khomsun Singhirunnusorn, Todd Berendes, Patrick Gatlin, Manil Maskey, Aaron Naeger, Stephanie Wingo, Ajinkya Kulkarni, Abdelhak Marouane, Lihua Wang:
Visage - A Visualization and Exploration Framework for Environmental Data. IGARSS 2019: 5405-5408 - [c14]Manil Maskey, Andrew L. Molthan, Chris Hain, Rahul Ramachandran, Iksha Gurung, Brian Freitag, Jeffrey J. Miller, Muthukumaran Ramasubramanian, Drew Bollinger, Ricardo Mestre, Daniel Cecil:
Machine Learning Lifecycle for Earth Science Application: A Practical Insight into Production Deployment. IGARSS 2019: 10043-10046 - 2018
- [j6]Kaylin M. Bugbee, Rahul Ramachandran, Manil Maskey, Patrick Gatlin:
The art and science of data curation: Lessons learned from constructing a virtual collection. Comput. Geosci. 112: 76-82 (2018) - [j5]Jeffrey J. Miller, Udaysankar Nair, Rahul Ramachandran, Manil Maskey:
Detection of transverse cirrus bands in satellite imagery using deep learning. Comput. Geosci. 118: 79-85 (2018) - [j4]Ritesh Pradhan, Ramazan S. Aygün, Manil Maskey, Rahul Ramachandran, Daniel J. Cecil:
Tropical Cyclone Intensity Estimation Using a Deep Convolutional Neural Network. IEEE Trans. Image Process. 27(2): 692-702 (2018) - [c13]Jia Zhang, Maryam Pourreza, Rahul Ramachandran, Tsengdar J. Lee, Patrick Gatlin, Manil Maskey, Amanda Marie Weigel:
Facilitating Data-Centric Recommendation in Knowledge Graph. CIC 2018: 207-216 - [c12]Xiaoyi Duan, Jia Zhang, Rahul Ramachandran, Patrick Gatlin, Manil Maskey, Jeffrey J. Miller, Kaylin M. Bugbee, Tsengdar J. Lee:
A Neural Network-Powered Cognitive Method of Identifying Semantic Entities in Earth Science Papers. ICCC 2018: 9-16 - [c11]Manil Maskey, Rahul Ramachandran, Jeffrey J. Miller, Jia Zhang, Iksha Gurung:
Earth Science Deep Learning: Applications and Lessons Learned. IGARSS 2018: 1760-1763 - 2017
- [j3]Manil Maskey, Rahul Ramachandran, Xiang Li, Amanda Weigel, Kaylin M. Bugbee, Patrick Gatlin, Jeffrey J. Miller:
A relevancy algorithm for curating earth science data around phenomenon. Comput. Geosci. 106: 164-170 (2017) - [c10]Qihao Bao, Jia Zhang, Xiaoyi Duan, Rahul Ramachandran, Tsengdar J. Lee, Yankai Zhang, Yuhao Xu, Seungwon Lee, Lei Pan, Patrick Gatlin, Manil Maskey:
A Fine-Grained API Link Prediction Approach Supporting Mashup Recommendation. ICWS 2017: 220-228 - 2016
- [c9]Rahul Ramachandran, Manil Maskey, Xiang Li, Kaylin M. Bugbee:
Exploiting dark information resources to create new value added services to study Earth science phenomena. IGARSS 2016: 182-185 - 2015
- [c8]Manil Maskey, Timothy S. Newman:
Directional Texture for Visualization - New Technique and Application Study. IV 2015: 1-8 - [c7]Manil Maskey, Timothy S. Newman:
A Measure of Texture Directionality. VISAPP (2) 2015: 432-438 - 2012
- [j2]Rahul Ramachandran, Manil Maskey, Ajinkya Kulkarni, Helen Conover, Udaysankar Nair, Sunil Movva:
Talkoot: software tool to create collaboratories for earth science. Earth Sci. Informatics 5(1): 33-41 (2012) - 2010
- [j1]Helen Conover, Gregoire Berthiau, Mike Botts, H. Michael Goodman, Xiang Li, Yue Lu, Manil Maskey, Kathryn Regner, Bradley Zavodsky:
Using sensor web protocols for environmental data acquisition and management. Ecol. Informatics 5(1): 32-41 (2010)
2000 – 2009
- 2009
- [c6]Rahul Ramachandran, Sara J. Graves, Todd Berendes, Manil Maskey, C. Chidambaram, Sundar A. Christopher, P. Hogan, Tom Gaskins:
GLIDER: A Comprehensive Software Tool to Visualize, Analyze and Mine Satellite Imagery. IGARSS (3) 2009: 781-784 - 2008
- [c5]Sara J. Graves, Rahul Ramachandran, Christopher Lynnes, Manil Maskey, Ken Keiser, Long Pham:
Mining Scientific Data using the Internet as the Computer. IGARSS (4) 2008: 283-286 - [c4]Kathryn Regner, Helen Conover, H. Michael Goodman, Bradley Zavodsky, Manil Maskey, Gary Jedlovec, Xiang Li, Jessica Lu, Mike Botts, Gregoire Berthiau:
Using Sensor Web Processes and Protocols to Assimilate Satellite Data into a Forecast Model. IGARSS (5) 2008: 302-305 - 2006
- [c3]Helen Conover, Bruce Beaumont, Marilyn Drewry, Sara J. Graves, Ken Keiser, Manil Maskey, Matt Smith, Philip Bogden, Joanne Bintz:
SCOOP Data Management: A Standards-based Distributed System for Coastal Data and Modeling. IGARSS 2006: 317-320 - 2005
- [c2]Manil Maskey, Timothy S. Newman:
Cumulus Cloud Rendering Techniques. Computer Graphics and Imaging 2005: 25-30 - [c1]Manil Maskey, Timothy S. Newman:
Validation of texture measures for cumulus cloud image classification. SIP 2005: 395-400
Coauthor Index
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last updated on 2024-11-22 19:46 CET by the dblp team
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