output
20062026
most citedThe Astropy Project: Building an inclusive, open-science project and status of the v2.0 core package

7.7k citations

Showing 2017Show all

16 papers · 1 filter

cs.HC2017

AVEID: Automatic Video System for Measuring Engagement In Dementia

Viral Parekh, Pin Sym Foong, Shendong Zhao +1

Engagement in dementia is typically measured using behavior observational scales (BOS) that are tedious and involve intensive manual labor to annotate, and are therefore not easily…

cs.SI2017★ 1 cited

Fake News Detection in Social Networks via Crowd Signals

Sebastian Tschiatschek, Adish Singla, Manuel Gomez Rodriguez +2

Our work considers leveraging crowd signals for detecting fake news and is motivated by tools recently introduced by Facebook that enable users to flag fake news. By aggregating us…

cs.IR2017★ 48 cited

Identifying Clickbait: A Multi-Strategy Approach Using Neural Networks

Vaibhav Kumar, Dhruv Khattar, Siddhartha Gairola +2

Online media outlets, in a bid to expand their reach and subsequently increase revenue through ad monetisation, have begun adopting clickbait techniques to lure readers to click on…

cs.HC2017★ 22 cited

Affect Recognition in Ads with Application to Computational Advertising

Abhinav Shukla, Shruti Shriya Gullapuram, Harish Katti +3

Advertisements (ads) often include strongly emotional content to leave a lasting impression on the viewer. This work (i) compiles an affective ad dataset capable of evoking coheren…

math.NA2017

Preconditioners for Saddle Point Problems on Truncated Domains in Phase Separation Modelling

Pawan Kumar

The discretization of Cahn-Hilliard equation with obstacle potential leads to a block 2 by 2 non-linear system, where the p1, 1q block has a non-linear and non-smooth term. Recentl…

gr-qc2017★ 2 cited

Cosmic acceleration sourced by modification of gravity without extra degrees of freedom

Abhineet Agarwal, R. Myrzakulov, S. K. J. Pacif +2

In this paper, we investigate a scenario in which late time cosmic acceleration might arise due to coupling between dark matter and baryonic matter without resorting to dark energy…

cs.CL2017★ 5 cited

Spoken English Intelligibility Remediation with PocketSphinx Alignment and Feature Extraction Improves Substantially over the State of the Art

Yuan Gao, Brij Mohan Lal Srivastava, James Salsman

We use automatic speech recognition to assess spoken English learner pronunciation based on the authentic intelligibility of the learners' spoken responses determined from support…

cs.CL2017★ 838 cited

Deep Learning for Hate Speech Detection in Tweets

Pinkesh Badjatiya, Shashank Gupta, Manish Gupta +1

Hate speech detection on Twitter is critical for applications like controversial event extraction, building AI chatterbots, content recommendation, and sentiment analysis. We defin…

quant-ph2017★ 1 cited

A note on robustness of coherence for multipartite quantum states

Chiranjib Mukhopadhyay, Udit Kamal Sharma, Indranil Chakrabarty

In this brief report, we prove that robustness of coherence (ROC), in contrast to many popular quantitative measures of quantum coherence derived from the resource theoretic framew…

cs.IT2017★ 4 cited

An Improved Secretive Coded Caching Scheme exploiting Common Demands

Hari Hara Suthan C, Ishani Chugh, Prasad Krishnan

Coded caching schemes on broadcast networks with user caches help to offload traffic from peak times to off-peak times by prefetching information from the server to the users durin…

cs.IT2017★ 6 cited

Index Coding: Rank-Invariant Extensions

Vamsi Krishna Gummadi, Ashok Choudhary, Prasad Krishnan

An index coding (IC) problem consisting of a server and multiple receivers with different side-information and demand sets can be equivalently represented using a fitting matrix. A…

cs.CL2017

Interpretation of Semantic Tweet Representations

J Ganesh, Manish Gupta, Vasudeva Varma

Research in analysis of microblogging platforms is experiencing a renewed surge with a large number of works applying representation learning models for applications like sentiment…

stat.AP2017★ 88 cited

Sparse Bayesian learning with uncertainty models and multiple dictionaries

Santosh Nannuru, Kay L. Gemba, Peter Gerstoft +2

Sparse Bayesian learning (SBL) has emerged as a fast and competitive method to perform sparse processing. The SBL algorithm, which is developed using a Bayesian framework, approxim…

quant-ph2017★ 28 cited

Non-negativity of conditional von Neumann entropy and global unitary operations

Subhasree Patro, Indranil Chakrabarty, Nirman Ganguly

Conditional von Neumann entropy is an intriguing concept in quantum information theory. In the present work, we examine the effect of global unitary operations on the conditional e…

quant-ph2017★ 10 cited

Asymmetric broadcasting of quantum correlations

Aditya Jain, Indranil Chakrabarty, Sourav Chatterjee

In this work, we exhaustively investigate local and nonlocal broadcasting of entanglement as well as correlations beyond entanglement (geometric discord) using as…

cs.IT2017★ 2 cited

Uniprior Index Coding

Vijaya Kumar Mareedu, Prasad Krishnan

The index coding problem is a problem of efficient broadcasting with side-information. We look at the uniprior index coding problem, in which the receivers have disjoint side-infor…