236 citations · 2.5k across the 61 of their papers we have counts for
61 papers
DeepSat V2: Feature Augmented Convolutional Neural Nets for Satellite Image Classification
Qun Liu, Saikat Basu, Sangram Ganguly +4
Satellite image classification is a challenging problem that lies at the crossroads of remote sensing, computer vision, and machine learning. Due to the high variability inherent i…
Measurement of and with a semileptonic tagging method
The Belle Collaboration, G. Caria, P. Urquijo +188
The experimental results on the ratios of branching fractions and $\mathcal{R}(D^…
Progressively Growing Generative Adversarial Networks for High Resolution Semantic Segmentation of Satellite Images
Edward Collier, Kate Duffy, Sangram Ganguly +8
Machine learning has proven to be useful in classification and segmentation of images. In this paper, we evaluate a training methodology for pixel-wise segmentation on high resolut…
Measurement of the CKM Matrix Element from at Belle
E. Waheed, P. Urquijo, I. Adachi +184
We present a new measurement of the CKM matrix element from decays, reconstructed with the full Belle data set of i…
Quantifying Uncertainty in Discrete-Continuous and Skewed Data with Bayesian Deep Learning
Thomas Vandal, Evan Kodra, Jennifer Dy +3
Deep Learning (DL) methods have been transforming computer vision with innovative adaptations to other domains including climate change. For DL to pervade Science and Engineering (…
DeepSD: Generating High Resolution Climate Change Projections through Single Image Super-Resolution
Thomas Vandal, Evan Kodra, Sangram Ganguly +3
The impacts of climate change are felt by most critical systems, such as infrastructure, ecological systems, and power-plants. However, contemporary Earth System Models (ESM) are r…
Precise determination of the CKM matrix element with decays with hadronic tagging at Belle
The Belle Collaboration, A. Abdesselam, I. Adachi +459
The precise determination of the CKM matrix element is important for carrying out tests of the flavour sector of the Standard Model. In this article we prese…
Measurement of Michel Parameters (, ) in the radiative leptonic decay of tau at Belle
The Belle Collaboration, A. Abdesselam, I. Adachi +445
We present the first measurement of the Michel parameters and in the radiative leptonic decay of the lepton using 703 f of data collected with the…
Measurement of asymmetry in the decay at Belle
A. Abdesselam, I. Adachi, K. Adamczyk +447
We report a measurement of the time-integrated asymmetry in the neutral charm meson decay using 921~fb data collected at the and r…
Evidence for the decay
A. Abdesselam, I. Adachi, K. Adamczyk +447
We report a search for with a data sample corresponding to an integrated luminosity of containing pairs collected…
A Theoretical Analysis of Deep Neural Networks for Texture Classification
Saikat Basu, Manohar Karki, Robert DiBiano +4
We investigate the use of Deep Neural Networks for the classification of image datasets where texture features are important for generating class-conditional discriminative represe…
Study of χ_{bJ}(1P) Properties in the Radiative Υ(2S) Decays
A. Abdesselam, I. Adachi, K. Adamczyk +444
We report a study of radiative decays of χ_{bJ}(1P)(J=0,1,2) mesons into 74 hadronic final states comprising charged and neutral pions, kaons, protons; out of these, 41 modes are o…
Angular analysis of
Belle Collaboration, A. Abdesselam, I. Adachi +442
We present a measurement of angular observables, , , , , in the decay , where is either or $μ^+…
Measurement of the branching ratio of relative to decays with a semileptonic tagging method
A. Abdesselam, I. Adachi, K. Adamczyk +441
We report a measurement of ratio , where denot…
Inclusive and exclusive measurements of decays to and at Belle
V. Bhardwaj, K. Miyabayashi, E. Panzenböck +196
We report inclusive and exclusive measurements for and production in decays. We measure = $(3.03 \pm 0.05(\mbox{stat}) \pm 0.24(\…
DeepSat - A Learning framework for Satellite Imagery
Saikat Basu, Sangram Ganguly, Supratik Mukhopadhyay +3
Satellite image classification is a challenging problem that lies at the crossroads of remote sensing, computer vision, and machine learning. Due to the high variability inherent i…
Learning Sparse Feature Representations using Probabilistic Quadtrees and Deep Belief Nets
Saikat Basu, Manohar Karki, Sangram Ganguly +3
Learning sparse feature representations is a useful instrument for solving an unsupervised learning problem. In this paper, we present three labeled handwritten digit datasets, col…
Observation of
Y. -Y. Chang, M. -Z. Wang, A. Abdesselam +167
We report the first observation of the decays . The data sample of fb used in this analysis corresponds to million pa…
Semi-inclusive studies of semileptonic decays at Belle
Belle Collaboration, C. Oswald, P. Urquijo +177
We present an analysis of the semi-inclusive decays and , where denotes a final state that may consist of additional had…
Evidence for the decay B0->eta pi^0
Belle Collaboration, B. Pal, A. J. Schwartz +169
We report a search for the charmless hadronic decay with a data sample corresponding to an integrated luminosity of 694 containing $B\bar…
Search for and decays using hadronic tagging
Y. Yook, Y. -J. Kwon, A. Abdesselam +174
We present a search for the rare leptonic decays and , using the full data sample of pairs collected with the…
Measurement of the amplitude ratio of and decays with a model-independent Dalitz plot analysis using decays
A. Abdesselam, I. Adachi, K. Adamczyk +409
We report a measurement of the amplitude ratio of and decays with a model-independent Dalitz plot analysis using $D\to K_S^0π^+π…
Search for and a measurement of the branching fraction for
Belle Collaboration, D. Dutta, B. Bhuyan +148
We search for the decay and measure the branching fraction for using 121.4~ of data collected at the $Υ(\mathrm{…
Measurement of the Branching Fraction with a Sum of Exclusive Decays
Belle Collaboration, T. Saito, A. Ishikawa +179
We use 772 meson pairs collected at the resonance with the Belle detector to measure the branching fraction for . Our me…