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Vipula Dissanayake

About Vipula Dissanayake

Vipula Dissanayake, With an exceptional h-index of 7 and a recent h-index of 7 (since 2020), a distinguished researcher at University of Auckland, specializes in the field of Natural Language Processing, Machine Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Can AI Models Summarize Your Diary Entries? Investigating Utility of Abstractive Summarization for Autobiographical Text

IJCB 2022 mobile behavioral biometrics competition (MobileB2C)

Troi: Towards understanding users perspectives to mobile automatic emotion recognition system in their natural setting

SigRep: Towards Robust Wearable Emotion Recognition with Contrastive Representation Learning

Multimodal Emotion Recognition in the wild using Unsupervised Representation Learning Techniques

Self-supervised Representation Fusion for Speech and Wearable Based Emotion Recognition

StressShoe: a DIY toolkit for just-in-time personalised stress interventions for office workers performing sedentary tasks

Speech Emotion Recognition ‘in the wild’ Using an Autoencoder

Vipula Dissanayake Information

University

Position

Augmented Human Lab Bioengineering Institute

Citations(all)

157

Citations(since 2020)

145

Cited By

33

hIndex(all)

7

hIndex(since 2020)

7

i10Index(all)

5

i10Index(since 2020)

5

Email

University Profile Page

Google Scholar

Vipula Dissanayake Skills & Research Interests

Natural Language Processing

Machine Learning

Top articles of Vipula Dissanayake

Can AI Models Summarize Your Diary Entries? Investigating Utility of Abstractive Summarization for Autobiographical Text

International Journal of Human–Computer Interaction

2023/11/29

Chitralekha Gupta
Chitralekha Gupta

H-Index: 8

Vipula Dissanayake
Vipula Dissanayake

H-Index: 3

IJCB 2022 mobile behavioral biometrics competition (MobileB2C)

2022/10/10

Ruben Vera-Rodriguez
Ruben Vera-Rodriguez

H-Index: 17

Ruben Tolosana
Ruben Tolosana

H-Index: 15

Aythami Morales
Aythami Morales

H-Index: 23

Julian Fierrez
Julian Fierrez

H-Index: 43

Javier Ortega-Garcia
Javier Ortega-Garcia

H-Index: 37

Sanka Rasnayaka
Sanka Rasnayaka

H-Index: 4

Vipula Dissanayake
Vipula Dissanayake

H-Index: 3

Jonathan Liebers
Jonathan Liebers

H-Index: 1

Sumaiya Ahmad
Sumaiya Ahmad

H-Index: 0

Suraiya Jabin
Suraiya Jabin

H-Index: 9

Troi: Towards understanding users perspectives to mobile automatic emotion recognition system in their natural setting

Proceedings of the ACM on Human-Computer Interaction

2022/9/20

Vipula Dissanayake
Vipula Dissanayake

H-Index: 3

Elliott Wen
Elliott Wen

H-Index: 8

SigRep: Towards Robust Wearable Emotion Recognition with Contrastive Representation Learning

IEEE Access

2022/2/7

Vipula Dissanayake
Vipula Dissanayake

H-Index: 3

Rajib Rana
Rajib Rana

H-Index: 20

Elliott Wen
Elliott Wen

H-Index: 8

Multimodal Emotion Recognition in the wild using Unsupervised Representation Learning Techniques

2022

Vipula Dissanayake
Vipula Dissanayake

H-Index: 3

Self-supervised Representation Fusion for Speech and Wearable Based Emotion Recognition

2022

Vipula Dissanayake
Vipula Dissanayake

H-Index: 3

Elliott Wen
Elliott Wen

H-Index: 8

StressShoe: a DIY toolkit for just-in-time personalised stress interventions for office workers performing sedentary tasks

2021/9/27

Vipula Dissanayake
Vipula Dissanayake

H-Index: 3

Speech Emotion Recognition ‘in the wild’ Using an Autoencoder

2020

Vipula Dissanayake
Vipula Dissanayake

H-Index: 3

Mark Billinghurst
Mark Billinghurst

H-Index: 48

See List of Professors in Vipula Dissanayake University(University of Auckland)

Co-Authors

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