arxiv.org/abs/1909.00704v1
Real estate appraisal is a complex and important task, that can be made more precise and faster with the help of automated valuation tools. Usually the value of some property is determined by taking into account both structural and geographical chara...
arxiv.org/abs/astro-ph/9806254v1
The low degree splittings obtained from one year of GOLF data analysis are combined with the MDI medium-l 144-day splittings in order to infer the solar internal rotation as a function of the radius down to $0.2R_\odot$. Several inverse methods are...
arxiv.org/abs/2412.01496v2
Determining whether two sets of images belong to the same or different distributions or domains is a crucial task in modern medical image analysis and deep learning; for example, to evaluate the output quality of image generative models. Currently, m...
en.wikipedia.org/wiki/Apple_TV_%28device%29
Apple TV is a digital media player and microconsole made by Apple. It is a small piece of networking hardware that sends received media data such as video
arxiv.org/abs/0708.4242v1
Data analysis for the proposed Laser Interferometer Space Antenna (LISA) will be complicated by the huge number of sources in the LISA band. Throughout much of the band, galactic white dwarf binaries (GWDBs) are sufficiently dense in frequency spac...
arxiv.org/abs/2008.08156v2
In this paper, we show a strong correlation between turnstile usage data of the New York City subway provided by the Metropolitan Transport Authority of New York City and COVID-19 deaths and cases reported by the New York City Department of Health. T...
github.com/k-Rushabh/Credit-EDA-Assignment
EDA applied to loan application data, minimizing lending risk. Patterns identified for informed decisions: approved, canceled, refused, or adjusted loans. Factors driving default understood for risk assessment. Researched risk analytics for variable significan…
github.com/isayan58/Snowflake_IaC
This Terraform module can be used to completely automate a user's Snowflake environment. I have built this in a module-wise approach namely: database, schema, roles, users, warehouse and grants. Based on the environment name and the user credentials the entire…
arxiv.org/abs/1903.04118v1
We present the first amplitude analysis of the decay $D^{+}_{s} \rightarrow π^{+}π^{0}η$. We use an $e^{+}e^{-}$ collision data sample corresponding to an integrated luminosity of 3.19~${\mbox{\,fb}^{-1}}$ collected with the BESIII detector at a c...
arxiv.org/abs/1307.7627v2
We summarize and combine direct measurements of the mass of the $W$ boson in $\sqrt{s} = 1.96 \text{TeV}$ proton-antiproton collision data collected by CDF and D0 experiments at the Fermilab Tevatron Collider. Earlier measurements from CDF and D0 are...
arxiv.org/abs/1202.5272v1
We report the combination of recent measurements of the helicity of the W boson from top quark decay by the CDF and D0 collaborations, based on data samples corresponding to integrated luminosities of 2.7 - 5.4 fb^-1 of ppbar collisions collected dur...
arxiv.org/abs/2509.18817v1
The $pp \to W^{\pm} (\to μ^{\pm} ν_μ) X$ cross-sections are measured at a proton-proton centre-of-mass energy $\sqrt{s} = 5.02$ TeV using a dataset corresponding to an integrated luminosity of 100 pb$^{-1}$ recorded by the LHCb experiment. Conside...
arxiv.org/abs/2106.13536v2
The decay $D^{+}_{s}\rightarrow π^{+}π^{+}π^{-}η$ is observed for the first time, using $e^+e^-$ collision data corresponding to an integrated luminosity of 6.32 fb$^{-1}$, collected by the BESIII detector at center-of-mass energies between 4.178...
arxiv.org/abs/2309.02774v4
Based on $4.4~\text{fb}^{-1}$ of $e^{+}e^{-}$ annihilation data collected at the center-of-mass energies between $4.60$ and $4.70~\text{GeV}$ with the BESIII detector at the BEPCII collider, the pure \textit{W}-boson-exchange decay $Λ_{c}^{+}\toΞ^{...
arxiv.org/abs/2501.04451v2
We present the first amplitude analysis and branching fraction measurement of the decay $D^+_s\to π^+π^+π^-π^0π^0$, using $e^+e^-$ collision data collected with the BESIII detector at center-of-mass energies between 4.128 and 4.226 GeV correspon...
arxiv.org/abs/1910.03943v1
We propose a neural network architecture for learning vector representations of hotels. Unlike previous works, which typically only use user click information for learning item embeddings, we propose a framework that combines several sources of data,...
arxiv.org/abs/2207.10200v1
In this paper, we propose revisited versions for two recent hotel recognition datasets: Hotels50K and Hotel-ID. The revisited versions provide evaluation setups with different levels of difficulty to better align with the intended real-world applicat...
arxiv.org/abs/1901.11397v1
Recognizing a hotel from an image of a hotel room is important for human trafficking investigations. Images directly link victims to places and can help verify where victims have been trafficked, and where their traffickers might move them or others...
arxiv.org/abs/1903.01581v1
For a given identity in a face dataset, there are certain iconic images which are more representative of the subject than others. In this paper, we explore the problem of computing the iconicity of a face. The premise of the proposed approach is as f...
arxiv.org/abs/2601.10802v1
Current progress in out-of-distribution (OOD) detection is limited by the lack of large, high-quality datasets with clearly defined OOD categories across varying difficulty levels (near- to far-OOD) that support both fine- and coarse-grained computer...