activity
20162019
most citedMultimodal Affect Analysis for Product Feedback Assessment

20 citations · 83 across the 9 of their papers we have counts for

collaborators

9 papers

cs.DB2019★ 12 cited

Improving Suppression to Reduce Disclosure Risk and Enhance Data Utility

Marmar Orooji, Gerald M. Knapp

In Privacy Preserving Data Publishing, various privacy models have been developed for employing anonymization operations on sensitive individual level datasets, in order to publish…

cs.CR2019★ 12 cited

A Novel Microdata Privacy Disclosure Risk Measure

Marmar Orooji, Gerald M. Knapp

A tremendous amount of individual-level data is generated each day, of use to marketing, decision makers, and machine learning applications. This data often contain private and sen…

cs.HC2017★ 20 cited

Multimodal Affect Analysis for Product Feedback Assessment

Amol S Patwardhan, Gerald M Knapp

Consumers often react expressively to products such as food samples, perfume, jewelry, sunglasses, and clothing accessories. This research discusses a multimodal affect recognition…

cs.CL2016

Automated Prediction of Temporal Relations

Amol S Patwardhan, Jacob Badeaux, Siavash +1

Background: There has been growing research interest in automated answering of questions or generation of summary of free form text such as news article. In order to implement this…

cs.HC2016★ 10 cited

Augmenting Supervised Emotion Recognition with Rule-Based Decision Model

Amol Patwardhan, Gerald Knapp

The aim of this research is development of rule based decision model for emotion recognition. This research also proposes using the rules for augmenting inter-corporal recognition…

cs.HC2016★ 13 cited

Multimodal Affect Recognition using Kinect

Amol Patwardhan, Gerald Knapp

Affect (emotion) recognition has gained significant attention from researchers in the past decade. Emotion-aware computer systems and devices have many applications ranging from in…