Manil Maskey

According to our database, Manil Maskey authored at least 59 papers between 2005 and 2024.

Collaborative distances:

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

2024

AI Foundation Model for Heliophysics: Applications, Design, and Implementation.

Sujit Roy, Talwinder Singh, Marcus Freitag, Johannes Schmude, Rohit Lal, Dinesha Hegde, Soumya Ranjan, Amy Lin, Vishal Gaur, Etienne Eben Vos, Rinki Ghosal, Badri Narayana Patro, Berkay Aydin, Nikolai Pogorelov, Juan Bernabé-Moreno, Manil Maskey, Rahul Ramachandran

CoRR, 2024

Prithvi WxC: Foundation Model for Weather and Climate.

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

CoRR, 2024

A Standardized Machine-readable Dataset Documentation Format for Responsible AI.

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

CoRR, 2024

Machine Learning Global Simulation of Nonlocal Gravity Wave Propagation.

Aman Gupta, Aditi Sheshadri, Sujit Roy, Vishal Gaur, Manil Maskey, Rahul Ramachandran

CoRR, 2024

INDUS: Effective and Efficient Language Models for Scientific Applications.

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

CoRR, 2024

Improving Label Error Detection and Elimination with Uncertainty Quantification.

Johannes Jakubik, Michael Vössing, Manil Maskey, Christopher Wölfle, Gerhard Satzger

CoRR, 2024

Croissant: A Metadata Format for ML-Ready Datasets.

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

CoRR, 2024

Curating AI-Ready Datasets for Equity and Environmental Justice: A Data-Centric AI Case Study.

Paridhi Parajuli, Rajat Shinde, Iksha Gurung, Manil Maskey, Rahul Ramachandran

Proceedings of the IGARSS 2024, 2024

The Visualization, Exploration, and Data Analysis (VEDA) Platform: A Modular, Open Platform Lowering the Barrier to entry to Cloud Computing.

Brian Freitag, Manil Maskey, Aimee Barciauskas, Jonas Solvsteen, James Colliander, James Munroe

Proceedings of the IGARSS 2024, 2024

INDUS: Effective and Efficient Language Models for Scientific Applications.

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

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: EMNLP 2024, 2024

Croissant: A Metadata Format for ML-Ready Datasets.

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

Proceedings of the Eighth Workshop on Data Management for End-to-End Machine Learning, 2024

2023

DMLR: Data-centric Machine Learning Research - Past, Present and Future.

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

CoRR, 2023

Leveraging Citizen Science for Flood Extent Detection using Machine Learning Benchmark Dataset.

Muthukumaran Ramasubramanian, Iksha Gurung, Shubhankar Gahlot, Ronny Hänsch, Andrew L. Molthan, Manil Maskey

CoRR, 2023

Foundation Models for Generalist Geospatial Artificial Intelligence.

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

CoRR, 2023

Observing Supraglacial Lakes Using Deep Learning and Planetscope Imagery.

Lillianne Thomas, Slesa Adhikari, Iksha Gurung, Aaron Kaulfus, Muthukumaran Ramasubramanian, Manil Maskey, Rahul Ramachandran

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

A Framework for Large Scale Semantic Similarity Search on Satellite Imagery.

Muthukumaran Ramasubramanian, Iksha Gurung, Leo Thomas, Kathryn Berger, Soumya Ranjan, Heidi Mok, Sowmya Subramanian, Vitor George, Manil Maskey, Rahul Ramachandran

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Exploring Blockchain to Support Open Science Practices.

Iksha Gurung, Slesa Adhikari, Abdelhak Marouane, Rajesh Pandey, Satkar Dhakal, Manil Maskey

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

The NASA-ESA-JAXA Earth Observation Dashboard.

Anca Anghelea, Manil Maskey, Shin-ichi Sobue, Naoko Sugita

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

2022

Language Model for Earth Science: Exploring Potential Downstream Applications as well as Current Challenges.

Rahul Ramachandran, Muthukumaran Ramasubramanian, P. Koirala, Iksha Gurung, Manil Maskey

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

Artificial Intelligence Vis-à-Vis Data Systems.

Manil Maskey, Rahul Ramachandran, Iksha Gurung, Muthukumaran Ramasubramanian, Anirudh Koul

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

Earthdata Pub: An Enterprise-Wide Solution to Submit Data to NASA's Distributed Active Archive Centers.

Brian Ellingson, Eddie Campos, Will Ellett, Taylor Wright, Daine Wright, Kimberly Broughton, Tammy Walker, Manil Maskey, Geoffrey T. Stano

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

2021

Exploring the Use of PlanetScope Data for Particulate Matter Air Quality Research.

Jeanné le Roux, Sundar A. Christopher, Manil Maskey

Remote. Sens., 2021

On measuring and employing texture directionality for image classification.

Manil Maskey, Timothy S. Newman

Pattern Anal. Appl., 2021

Graph Convolutional Network-Strengthened Topic Modeling for Scientific Papers.

Jia Zhang, Junhao Shen, Beichen Hu, Rahul Ramachandran, Tsengdar J. Lee, Kwo-Sen Kuo, Manil Maskey, Seungwon Lee

Proceedings of the IEEE International Conference on Smart Data Services, 2021

The Field Campaign Explorer.

Geoffrey T. Stano, Yuling Wu, Navaneeth R. Selvaraj, Manil Maskey, Ajinkya Kulkarni

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

Tri-Agency Cooperation to Identify the Impact of COVID-19.

Shinichi Sobue, Yves-Louis Desnos, Kevin Murphy, Anca Anghelea, Manil Maskey, Michael Falkowski

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

Present and Future Data Visibility and Access of International Virtual SAR Constellation.

Shinichi Sobue, Gerald W. Bawden, Raj Kumar, Shiro Kawakita, Manil Maskey, Wasanchai Vongsantivanich, David T. Sandwell

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

Augmenting Data Systems with Prediction based Embeddings.

Rahul Ramachandran, Muthukumaran Ramasubramanian, Iksha Gurung, Carson Davis, Derek Koehl, Manil Maskey, Tsengdar J. Lee

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

Commercial Smallsat Data Acquisition: Program Update.

Manil Maskey, Alfreda Hall, Kevin Murphy, Compton Tucker, Will McCarty, Aaron Kaulfus

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

Visualizing, Exploring, and Communicating Environmental Effects of COVID-19 Using Earth Observation Dashboard.

Manil Maskey, Michael Falkowski, Kevin Murphy, Olaf Veerman, Ricardo Mestre, Iksha Gurung, Muthukumaran Ramasubramanian, Lillianne Thomas, Zhuangfang Yi, Drew Bollinger, Abigail Seadler, Yvonne Ivey

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

COIVD-19 Impact Monitoring of Economic Activities.

Michael Falkowski, Manil Maskey, Shin-ichi Sobue, Gordon Campbell, Gerald W. Bawden, Takeo Tadono

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

The COVID-19 Earth Observation Dashboard: A NASA-ESA-JAXA Collaborative Product.

Anca Anghelea, Yves-Louis Desnos, Manil Maskey, Shin-ichi Sobue, Stephan Meissl

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

2020

Deepti: Deep-Learning-Based Tropical Cyclone Intensity Estimation System.

Manil Maskey, Rahul Ramachandran, Muthukumaran Ramasubramanian, Iksha Gurung, Brian Freitag, Aaron Kaulfus, Drew Bollinger, Daniel J. Cecil, Jeffrey J. Miller

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020

Employing Deep Learning to Enable Visual Exploration of Earth Science Events.

Manil Maskey, Rahul Ramachandran, Iksha Gurung, Muthukumaran Ramasubramanian, Brian Freitag, Aaron Kaulfus, Georgios Priftis, Drew Bollinger, Ricardo Mestre, Daniel da Silva

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

Advancing Open Science Through Innovative Data System Solutions: The Joint ESA-NASA Multi-Mission Algorithm and Analysis Platform (MAAP)'s Data Ecosystem.

Kaylin M. Bugbee, Rahul Ramachandran, Manil Maskey, Aimee Barciauskas, Aaron Kaulfus, Dai Hai Ton That, Katrina Virts, Kel N. Markert, Christopher Lynnes

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

2019

Applying Deep Learning to Hail Detection: A Case Study.

Melinda Pullman, Iksha Gurung, Manil Maskey, Rahul Ramachandran, Sundar A. Christopher

IEEE Trans. Geosci. Remote. Sens., 2019

Deep feature extraction and its application for hailstorm detection in a large collection of radar images.

Iksha Gurung, Chao Peng, Manil Maskey, Rahul Ramachandran

Signal Image Video Process., 2019

Machine Learning Lifecycle for Earth Science Application: A Practical Insight into Production Deployment.

Manil Maskey, Andrew L. Molthan, Chris Hain, Rahul Ramachandran, Iksha Gurung, Brian Freitag, Jeffrey J. Miller, Muthukumaran Ramasubramanian, Drew Bollinger, Ricardo Mestre, Daniel Cecil

Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

Visage - A Visualization and Exploration Framework for Environmental Data.

Helen Conover, Brian Ellingson, Bibek Dahal, Khomsun Singhirunnusorn, Todd Berendes, Patrick Gatlin, Manil Maskey, Aaron Naeger, Stephanie Wingo, Ajinkya Kulkarni, Abdelhak Marouane, Lihua Wang

Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

Building a Data Ecosystem: A New Data Stewardship Paradigm for the Multi-Mission Algorithm and Analysis Platform (MAAP).

Kaylin M. Bugbee, Christopher Lynnes, Manil Maskey, Aimee Barciauskas, Rahul Ramachandran, Aaron Kaulfus, Jeanné le Roux, Jeffrey J. Miller, Iksha Gurung, Amanda S. Whitehurst

Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

2018

Tropical Cyclone Intensity Estimation Using a Deep Convolutional Neural Network.

Ritesh Pradhan, Ramazan S. Aygün, Manil Maskey, Rahul Ramachandran, Daniel J. Cecil

IEEE Trans. Image Process., 2018

Detection of transverse cirrus bands in satellite imagery using deep learning.

Jeffrey J. Miller, Udaysankar Nair, Rahul Ramachandran, Manil Maskey

Comput. Geosci., 2018

The art and science of data curation: Lessons learned from constructing a virtual collection.

Kaylin M. Bugbee, Rahul Ramachandran, Manil Maskey, Patrick Gatlin

Comput. Geosci., 2018

Earth Science Deep Learning: Applications and Lessons Learned.

Manil Maskey, Rahul Ramachandran, Jeffrey J. Miller, Jia Zhang, Iksha Gurung

Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

A Neural Network-Powered Cognitive Method of Identifying Semantic Entities in Earth Science Papers.

Xiaoyi Duan, Jia Zhang, Rahul Ramachandran, Patrick Gatlin, Manil Maskey, Jeffrey J. Miller, Kaylin M. Bugbee, Tsengdar J. Lee

Proceedings of the 2018 IEEE International Conference on Cognitive Computing, 2018

Facilitating Data-Centric Recommendation in Knowledge Graph.

Jia Zhang, Maryam Pourreza, Rahul Ramachandran, Tsengdar J. Lee, Patrick Gatlin, Manil Maskey, Amanda Marie Weigel

Proceedings of the 4th IEEE International Conference on Collaboration and Internet Computing, 2018

2017

A relevancy algorithm for curating earth science data around phenomenon.

Manil Maskey, Rahul Ramachandran, Xiang Li, Amanda Weigel, Kaylin M. Bugbee, Patrick Gatlin, Jeffrey J. Miller

Comput. Geosci., 2017

A Fine-Grained API Link Prediction Approach Supporting Mashup Recommendation.

Qihao Bao, Jia Zhang, Xiaoyi Duan, Rahul Ramachandran, Tsengdar J. Lee, Yankai Zhang, Yuhao Xu, Seungwon Lee, Lei Pan, Patrick Gatlin, Manil Maskey

Proceedings of the 2017 IEEE International Conference on Web Services, 2017

2016

Exploiting dark information resources to create new value added services to study Earth science phenomena.

Rahul Ramachandran, Manil Maskey, Xiang Li, Kaylin M. Bugbee

Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

2015

A Measure of Texture Directionality.

Manil Maskey, Timothy S. Newman

Proceedings of the VISAPP 2015, 2015

Directional Texture for Visualization - New Technique and Application Study.

Manil Maskey, Timothy S. Newman

Proceedings of the 19th International Conference on Information Visualisation, 2015

2012

Talkoot: software tool to create collaboratories for earth science.

Rahul Ramachandran, Manil Maskey, Ajinkya Kulkarni, Helen Conover, Udaysankar Nair, Sunil Movva

Earth Sci. Informatics, 2012

2010

Using sensor web protocols for environmental data acquisition and management.

Helen Conover, Gregoire Berthiau, Mike Botts, H. Michael Goodman, Xiang Li, Yue Lu, Manil Maskey, Kathryn Regner, Bradley Zavodsky

Ecol. Informatics, 2010

2009

GLIDER: A Comprehensive Software Tool to Visualize, Analyze and Mine Satellite Imagery.

Rahul Ramachandran, Sara J. Graves, Todd Berendes, Manil Maskey, C. Chidambaram, Sundar A. Christopher, P. Hogan, Tom Gaskins

Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2009

2008

Using Sensor Web Processes and Protocols to Assimilate Satellite Data into a Forecast Model.

Kathryn Regner, Helen Conover, H. Michael Goodman, Bradley Zavodsky, Manil Maskey, Gary Jedlovec, Xiang Li, Jessica Lu, Mike Botts, Gregoire Berthiau

Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2008

Mining Scientific Data using the Internet as the Computer.

Sara J. Graves, Rahul Ramachandran, Christopher Lynnes, Manil Maskey, Ken Keiser, Long Pham

Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2008

2006

SCOOP Data Management: A Standards-based Distributed System for Coastal Data and Modeling.

Helen Conover, Bruce Beaumont, Marilyn Drewry, Sara J. Graves, Ken Keiser, Manil Maskey, Matt Smith, Philip Bogden, Joanne Bintz

Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2006

2005

Validation of texture measures for cumulus cloud image classification.

Manil Maskey, Timothy S. Newman

Proceedings of the Signal and Image Processing (SIP 2005), 2005

Cumulus Cloud Rendering Techniques.

Manil Maskey, Timothy S. Newman

Proceedings of the Eighth IASTED International Conference on Computer Graphics and Imaging, 2005