activity
20152022
most citedAutomated Analysis and Prediction of Job Interview Performance

16 citations · 17 across the 5 of their papers we have counts for

collaborators

6 papers

q-bio.NC2022

Quantitative Susceptibility Mapping in Cognitive Decline: A Review of Technical Aspects and Applications

Shradha Verma, Tripti Goel, M Tanveer

In the human brain, essential iron molecules for proper neurological functioning exist in transferrin (tf) and ferritin (Fe3) forms. However, its unusual increment manifests iron o…

eess.IV20221 cited

Lightweight 3D Convolutional Neural Network for Schizophrenia diagnosis using MRI Images and Ensemble Bagging Classifier

P Supriya Patro, Tripti Goel, S A VaraPrasad +2

Structural alterations have been thoroughly investigated in the brain during the early onset of schizophrenia (SCZ) with the development of neuroimaging methods. The objective of t…

cs.LG2019

UR-FUNNY: A Multimodal Language Dataset for Understanding Humor

Md Kamrul Hasan, Wasifur Rahman, Amir Zadeh +5

Humor is a unique and creative communicative behavior displayed during social interactions. It is produced in a multimodal manner, through the usage of words (text), gestures (visi…

cs.HC2017

Automatic Identification of Non-Meaningful Body-Movements and What It Reveals About Humans

Md Iftekhar Tanveer, RuJie Zhao, Mohammed Hoque

We present a framework to identify whether a public speaker's body movements are meaningful or non-meaningful ("Mannerisms") in the context of their speeches. In a dataset of 84 pu…

cs.HC2015

Use of Laplacian Projection Technique for Summarizing Likert Scale Annotations

M. Iftekhar Tanveer

Summarizing Likert scale ratings from human annotators is an important step for collecting human judgments. In this project we study a novel, graph theoretic method for this purpos…

cs.HC201516 cited

Automated Analysis and Prediction of Job Interview Performance

Iftekhar Naim, M. Iftekhar Tanveer, Daniel Gildea +2

We present a computational framework for automatically quantifying verbal and nonverbal behaviors in the context of job interviews. The proposed framework is trained by analyzing t…