Enabling high-resolution forecasting of severe weather and flooding events in Rio de Janeiro. - Lloyd A. Treinish; Anthony Praino; James P. Cipriani; Ulisses T. Mello; Kiran Mantripragada; Lucas Villa Real; Paula A. Sesini; Vaibhav Saxena; Thomas George; Rashmi Mittal (IBM J. Res. Dev., 2013)

Estimates of forest degradation: An algorithm based on active learning, maximum likelihood and PCA for change detection. - Kiran Mantripragada; Mariana Abrantes Giannotti; José Alberto Quintanilha (IGARSS, 2014)

Active learning classification and change detection on multispectral images. - Kiran Mantripragada; José Alberto Quintanilha; Mariana Abrantes Giannotti (INDIN, 2014)

A Self-adaptive Auto-scaling Method for Scientific Applications on HPC Environments and Clouds. - Kiran Mantripragada; Alécio Pedro Delazari Binotto; Leonardo P. Tizzei (CoRR, 2014)

COMT Val158Met genotype is associated with fluctuations in working memory performance: converging evidence from behavioural and single-trial P3b measures. - Christopher W. N. Saville; Thomas M. Lancaster; M. E. Stefanou; G. Salunkhe; I. Lourmpa; A. Nadkarni; Stephan G. Boehm; Stephan Bender; Nikolaos Smyrnis; Ulrich Ettinger; Bernd Feige; M. Biscaldi; et al. (NeuroImage, 2014)

An SLA-Based Advisor for Placement of HPC Jobs on Hybrid Clouds. - Kiran Mantripragada; Leonardo P. Tizzei; Alécio Pedro Delazari Binotto; Marco A. S. Netto (ICSOC, 2015)

Elevated P3b latency variability in carriers of ZNF804A risk allele for psychosis. - Christopher W. N. Saville; Thomas M. Lancaster; Timothy J. Davies; Maida Toumaian; Eleni Pappa; Simon Fish; Bernd Feige; Stephan Bender; Kiran K. Mantripragada; David E. J. Linden; Christoph Klein 004 (NeuroImage, 2015)

A study on the effects of compression on hyperspectral image classification. - Kiran Mantripragada; Phuong D. Dao; Yuhong He; Faisal Z. Qureshi (CoRR, 2021)

Evaluation of Dirichlet Process Gaussian Mixtures for Segmentation on Noisy Hyperspectral Images. - Kiran Mantripragada; Faisal Z. Qureshi (CoRR, 2022)

An Iterative Method for Hyperspectral Pixel Unmixing Leveraging Latent Dirichlet Variational Autoencoder. - Kiran Mantripragada; Paul R. Adler; Peder A. Olsen; Faisal Z. Qureshi (IGARSS, 2023)

SpACNN-LDVAE: Spatial Attention Convolutional Latent Dirichlet Variational Autoencoder for Hyperspectral Pixel Unmixing. - Soham Chitnis; Kiran Mantripragada; Faisal Z. Qureshi (IGARSS, 2024)

Hyperspectral Pixel Unmixing With Latent Dirichlet Variational Autoencoder. - Kiran Mantripragada; Faisal Z. Qureshi (IEEE Trans. Geosci. Remote. Sens., 2024)