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ORCIDValentine Anantharaj
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Journal Articles
- 2025
[j8]Gabriele Padovani
, Valentine Anantharaj, Sandro Fiore:
yProv4ML: Effortless provenance tracking for machine learning systems. SoftwareX 31: 102298 (2025)- 2012
- [j7]Majid Mahrooghy, Nicolas H. Younan, Valentine G. Anantharaj, James V. Aanstoos, Shantia Yarahmadian:
On the Use of the Genetic Algorithm Filter-Based Feature Selection Technique for Satellite Precipitation Estimation. IEEE Geosci. Remote. Sens. Lett. 9(5): 963-967 (2012) - [j6]Majid Mahrooghy, Nicolas H. Younan, Valentine G. Anantharaj, James V. Aanstoos, Shantia Yarahmadian:
On the Use of a Cluster Ensemble Cloud Classification Technique in Satellite Precipitation Estimation. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 5(5): 1356-1363 (2012) - [j5]Majid Mahrooghy, Nicolas H. Younan, Valentine G. Anantharaj, James V. Aanstoos:
Enhancement of Satellite Precipitation Estimation via Unsupervised Dimensionality Reduction. IEEE Trans. Geosci. Remote. Sens. 50(10): 3931-3940 (2012) - 2011
- [j4]Anish C. Turlapaty, Nicolas H. Younan, Valentine G. Anantharaj:
Interpolation of Missing Values in AMSR-E Soil Moisture Data Using Modified SSA. IEEE Geosci. Remote. Sens. Lett. 8(2): 322-325 (2011) - 2010
- [j3]Anish C. Turlapaty, Valentine G. Anantharaj, Nicolas H. Younan:
A pattern recognition based approach to consistency analysis of geophysical datasets. Comput. Geosci. 36(4): 464-476 (2010) - [j2]Anish C. Turlapaty, Valentine G. Anantharaj, Nicolas H. Younan, F. Joseph Turk:
Precipitation data fusion using vector space transformation and artificial neural networks. Pattern Recognit. Lett. 31(10): 1184-1200 (2010) - [j1]F. Joseph Turk, Georgy V. Mostovoy, Valentine G. Anantharaj:
Soil Moisture Sensitivity to NRL-Blend High-Resolution Precipitation Products: Analysis of Simulations With Two Land Surface Models. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 3(1): 32-48 (2010)
Conference and Workshop Papers
- 2026
- [c24]Yishak Tadele Nigatu, Wesley Brewer, Jonathan McConnell, Valentine G. Anantharaj, Sandro Fiore:
Foundations for FMU Surrogate Model Design in ExaDigiT: Preliminary Analysis of Three IBM POWER9 Cooling Systems. GreenSys 2026: 31-36 - 2025
- [c23]Wesley Brewer, Patrick M. Widener, Valentine Anantharaj, Feiyi Wang, Tom Beck, Arjun Shankar, Sarp Oral:
Data Readiness for Scientific AI at Scale. ICPP Workshops 2025: 18-24 - [c22]Gabriele Padovani, Valentine Anantharaj, Sandro Fiore:
Provenance Tracking in Large-Scale Machine Learning Systems. ICPP Workshops 2025: 167-174 - [c21]Sandro Fiore, Paola Nassisi, Ludovica Sacco, Gabriele Padovani, Fabrizio Antonio, Donatello Elia, Italo Epicoco, Nicola Giuseppe Marchioro, Marco Robol, Konstantinos Zefkilis, Flavio Vella, Carolina Sopranzetti, Andrea Alessandri, Annalisa Cherchi, Franco Catalano, Gianmaria Sannino, Gabriella Scipione, Marco Puccini, Erika Coppola, Ivan Girotto, Marco Reale, Stefano Salon, Antonella Galizia, Marcello Iotti, Paolo Giorgini, Hilary J. Oliver, Valentine Anantharaj, Silvio Gualdi:
Climate Data IT: towards a National Data Hub for Climate Science. ITADATA 2025 - 2024
- [c20]Valentine Anantharaj, Takuya Kurihana, Sajal Dash, Gabriele Padovani, Sandro Fiore:
Exploring Vision Transformers on the Frontier Supercomputer for Remote Sensing and Geoscientific Applications. IGARSS 2024: 3085-3088 - [c19]Gabriele Padovani, Valentine Anantharaj, Ludovica Sacco, Takuya Kurihana, M. Bunino, K. Tsolaki, M. Girone, F. Antonio, Carolina Sopranzetti, M. Fronza, Sandro Fiore:
A software ecosystem for multi-level provenance management in large-scale scientific workflows for AI applications. SC Workshops 2024: 2024-2031 - [c18]Takuya Kurihana, Tyler J. Skluzacek, Rafael Ferreira da Silva, Valentine Anantharaj:
Scalable Multi-Facility Workflows for Artificial Intelligence Applications in Climate Research. SC Workshops 2024: 2127-2134 - 2022
- [c17]Valentine Anantharaj, Samuel Hatfield, Inna Polichtchouk, Nils Wedi, Morgan E. O'Neill, Thomas Papatheodore, Peter Dueben:
An open science exploration of global 1-km simulations of the earth's atmosphere. e-Science 2022: 427-428 - 2021
- [c16]Wesley Brewer, Daniel Martínez, Mathew Boyer, Dylan Jude, Andy Wissink, Ben Parsons, Junqi Yin, Valentine Anantharaj:
Production Deployment of Machine-Learned Rotorcraft Surrogate Models on HPC. MLHPC@SC 2021: 21-32 - 2020
- [c15]Ruonan Wang, Rodrigo Tobar, Markus Dolensky, Tao An, Andreas Wicenec, Chen Wu, Fred Dulwich, Norbert Podhorszki, Valentine Anantharaj, Eric Suchyta, Bao-qiang Lao, Scott Klasky:
Processing full-scale square kilometre array data on the summit supercomputer. SC 2020: 2 - [c14]George Papadimitriou, Karan Vahi, Jason Kincl, Valentine Anantharaj, Ewa Deelman, Jack C. Wells:
Workflow Submit Nodes as a Service on Leadership Class Systems. PEARC 2020: 56-63 - 2019
- [c13]Rina Singh, Jeffrey A. Graves, Valentine Anantharaj, Sreenivas R. Sukumar:
Evaluating Scientific Workflow Engines for Data and Compute Intensive Discoveries. IEEE BigData 2019: 4553-4560 - 2016
- [c12]Sandro Fiore, Marcin Plóciennik, Charles M. Doutriaux, Cosimo Palazzo, Jason Boutte, Tomasz Zok, Donatello Elia, Michal Owsiak, Alessandro D'Anca, Z. Shaheen, Riccardo Bruno, Marco Fargetta, Miguel Caballer, Germán Moltó, Ignacio Blanquer, Roberto Barbera, Mário David, Giacinto Donvito, Dean N. Williams, Valentine Anantharaj, Davide Salomoni, Giovanni Aloisio:
Distributed and cloud-based multi-model analytics experiments on large volumes of climate change data in the earth system grid federation eco-system. IEEE BigData 2016: 2911-2918 - 2015
- [c11]Balakrishna Gokaraju, Shanti Bhushan, Valentine G. Anantharaj, Anish C. Turlapaty, Daniel Adrian Doss:
Comprehensive review of evolution of satellite sensor specifications against speedup performance of pattern recognition algorithms in remote sensing. AIPR 2015: 1-8 - [c10]Salil Mahajan, Katherine J. Evans, Marcia L. Branstetter, Valentine G. Anantharaj, Juliann K. Leifeld:
Fidelity of Precipitation Extremes in High Resolution Global Climate Simulations. ICCS 2015: 2178-2187 - 2011
- [c9]Majid Mahrooghy, Nicolas H. Younan, Valentine G. Anantharaj, James V. Aanstoos:
High resolution satellite precipitation estimate using cluster ensemble cloud classification. IGARSS 2011: 2645-2648 - 2010
- [c8]Majid Mahrooghy, Valentine G. Anantharaj, Nicolas H. Younan, James V. Aanstoos:
Optimal wavelet features for an infrared satellite precipitation estimate algorithm. AIPR 2010: 1-6 - [c7]Majid Mahrooghy, Valentine G. Anantharaj, Nicolas H. Younan, Walter A. Petersen, F. Joseph Turk, James V. Aanstoos:
Infrared satellite precipitation estimate using waveletbased cloud classification and radar calibration. IGARSS 2010: 2345-2348 - [c6]Anish C. Turlapaty, Nicolas H. Younan, Valentine G. Anantharaj:
Interpolation of geophysical data using spatio-temporal (3D) block singular value decomposition. IGARSS 2010: 4450-4453 - 2009
- [c5]Anish C. Turlapaty, Nicolas H. Younan, Valentine G. Anantharaj:
Precipitation Data Merging using General Linear Regression. IGARSS (3) 2009: III:259-262 - 2006
- [c4]Valentine G. Anantharaj, Patrick J. Fitzpatrick, Yongzuo Li, Roger L. King, Gueorgui V. Mostovoy:
Impact of Land Use and Land Cover Changes in the Surface Fluxes of an Atmospheric Model. IGARSS 2006: 2369-2372 - 2004
- [c3]Valentine G. Anantharaj, Nicolas H. Younan, Roger L. King:
Nonparametric detection of cloudy pixels in AVHRR NDVI data. IGARSS 2004: 1037-1040 - [c2]Valentine G. Anantharaj, Patrick J. Fitzpatrick, Roger L. King, Louis Wasson:
Incorporation of MODIS landcover data to improve land surface parameterization in the COAMPS numerical weather prediction model. IGARSS 2004: 4095-4098 - [c1]Pushkar S. Pradhan, Roger L. King, Tomasz Haupt, Valentine G. Anantharaj:
The cyberinfrastructure and image information mining. IGARSS 2004
Informal and Other Publications
- 2025
- [i5]Nicola Giuseppe Marchioro, Yannis Velegrakis, Valentine Anantharaj, Ian T. Foster, Sandro Fiore:
Trustworthy Provenance for Big Data Science: a Modular Architecture Leveraging Blockchain in Federated Settings. CoRR abs/2505.24675 (2025) - [i4]Gabriele Padovani, Valentine Anantharaj, Sandro Fiore:
Provenance Tracking in Large-Scale Machine Learning Systems. CoRR abs/2507.01075 (2025) - [i3]Gabriele Padovani, Valentine Anantharaj, Sandro Fiore:
yProv4ML: Effortless Provenance Tracking for Machine Learning Systems. CoRR abs/2507.01078 (2025) - [i2]Wesley Brewer, Patrick M. Widener, Valentine Anantharaj, Feiyi Wang, Tom Beck, Arjun Shankar, Sarp Oral:
Data Readiness for Scientific AI at Scale. CoRR abs/2507.23018 (2025) - 2024
- [i1]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)
Coauthor Index
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