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Veronica Liesaputra
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Journal Articles
- 2024
- [j8]Xianheng Wang
, Veronica Liesaputra, Zhaobin Liu, Yi Wang, Zhiyi Huang
:
An in-depth survey on Deep Learning-based Motor Imagery Electroencephalogram (EEG) classification. Artif. Intell. Medicine 147: 102738 (2024) - [j7]Joel Philip Thekkekara
, Sira Yongchareon
, Veronica Liesaputra:
An attention-based CNN-BiLSTM model for depression detection on social media text. Expert Syst. Appl. 249: 123834 (2024) - [j6]Xianheng Wang
, Zhaobin Liu
, Veronica Liesaputra, Zhiyi Huang:
Feature specific progressive improvement for salient object detection. Pattern Recognit. 147: 110085 (2024) - 2022
- [j5]Dong Chen
, Sira Yongchareon
, Edmund M.-K. Lai
, Quan Z. Sheng
, Veronica Liesaputra:
Locally Weighted Ensemble-Detection-Based Adaptive Random Forest Classifier for Sensor-Based Online Activity Recognition for Multiple Residents. IEEE Internet Things J. 9(15): 13077-13085 (2022) - 2021
- [j4]Pradeesh Parameswaran
, Andrew Trotman
, Veronica Liesaputra, David M. Eyers
:
Detecting the target of sarcasm is hard: Really?? Inf. Process. Manag. 58(4): 102599 (2021) - 2012
- [j3]Veronica Liesaputra, Ian H. Witten
:
Realistic electronic books. Int. J. Hum. Comput. Stud. 70(9): 588-610 (2012) - 2009
- [j2]Veronica Liesaputra, Ian H. Witten
, David Bainbridge
:
Creating and Reading Realistic Electronic Books. Computer 42(2): 72-81 (2009) - [j1]Veronica Liesaputra, Ian H. Witten
:
Computer graphics techniques for modeling page turning. Int. J. Digit. Libr. 10(2-3): 93-121 (2009)
Conference and Workshop Papers
- 2022
- [c22]Claudia Ott, Veronica Liesaputra:
Using Affective Learning Analytics in Industry-focused Projects: Experiences and Challenges. ACE 2022: 153-162 - [c21]Pradeesh Parameswaran, Andrew Trotman, Veronica Liesaputra, David M. Eyers:
Reproducibility and Automation of the Appraisal Taxonomy. COLING 2022: 3731-3740 - 2020
- [c20]Claudia Ott, Veronica Liesaputra:
Industry-Focused Projects in an Intense One-Year ICT Programme. ACE 2020: 132-141 - [c19]Veronica Liesaputra, Claudia Ott:
Detecting Students' Affective States in Industry-focused Projects. Koli Calling 2020: 43:1-43:2 - [c18]Veronica Liesaputra, Guillermo Ramírez-Prado, Bashar Barmada, Lei Song:
Future-Proofing Kiwi Kids Through the Use of Digital Technology. SIGCSE 2020: 507-513 - 2019
- [c17]Pradeesh Parameswaran, Andrew Trotman, Veronica Liesaputra, David M. Eyers:
Detecting Target of Sarcasm using Ensemble Methods. ALTA 2019: 197-203 - [c16]Guillermo Ramírez-Prado, Bashar Barmada, Veronica Liesaputra:
Non-intrusive behavior awareness for residents of a smart house. IEEE BigData 2019: 5269-5273 - [c15]Kashyap Venkatesh, Bashar Barmada, Veronica Liesaputra, Guillermo Ramírez-Prado:
Resilient Activities Tracking in a Smart Home using Ultrasonic Sensors. IEEE BigData 2019: 5274-5281 - [c14]Guillermo Ramírez-Prado, Bashar Barmada, Veronica Liesaputra:
On non-intrusive prediction of activities and behavior. IEEE BigData 2019: 6203-6204 - [c13]Kashyap Venkatesh, Bashar Barmada, Veronica Liesaputra, Guillermo Ramírez-Prado:
Robust Features for Activities Recognition. IEEE BigData 2019: 6237-6239 - 2018
- [c12]Kan Ngamakeur, Sira Yongchareon
, Veronica Liesaputra, Jian Yu:
An evaluation on models for particle filtering for resident tracking in a smart home using binary sensors. ACSW 2018: 11:1-11:10 - [c11]Kenny Ho, Veronica Liesaputra, Sira Yongchareon
, Mahsa Mohaghegh
:
Evaluating social spammer detection systems. ACSW 2018: 18:1-18:7 - [c10]Gavin Chand, Mustafa Ali, Bashar Barmada, Veronica Liesaputra, Guillermo Ramírez-Prado:
Tracking a Person's Behaviour in a Smart House. ICSOC Workshops 2018: 241-252 - 2017
- [c9]Kenny Ho, Veronica Liesaputra, Sira Yongchareon
, Mahsa Mohaghegh
:
A Framework for Evaluating Anti Spammer Systems for Twitter. OTM Conferences (1) 2017: 648-662 - 2016
- [c8]Phavanh Sosamphan, Veronica Liesaputra, Sira Yongchareon, Mahsa Mohaghegh:
Evaluation of Statistical Text Normalisation Techniques for Twitter. KDIR 2016: 413-418 - 2015
- [c7]Veronica Liesaputra, Sira Yongchareon
, Sivadon Chaisiri
:
Efficient Process Model Discovery Using Maximal Pattern Mining. BPM 2015: 441-456 - [c6]Veronica Liesaputra, Sira Yongchareon, Sivadon Chaisiri:
A Process Mining Technique Using Pattern Recognition. CAiSE Forum 2015: 57-64 - 2014
- [c5]Nay Myo Sandar
, Sivadon Chaisiri
, Sira Yongchareon
, Veronica Liesaputra:
Cloud-Based Video Monitoring Framework: An Approach Based on Software-Defined Networking for Addressing Scalability Problems. WISE Workshops 2014: 176-189 - 2011
- [c4]Veronica Liesaputra, Ian H. Witten
:
A Bookmaker's Workbench. CHINZ 2011: 1-8 - 2009
- [c3]Veronica Liesaputra, Ian H. Witten
, David Bainbridge
:
Searching in a Book. ECDL 2009: 442-446 - 2008
- [c2]Veronica Liesaputra, Ian H. Witten
:
Seeking information in realistic books: a user study. JCDL 2008: 29-38 - 2007
- [c1]Veronica Liesaputra, Ian H. Witten
, David Bainbridge
:
Lightweight realistic books: the greenstone connection. JCDL 2007: 502
Editorship
- 2021
- [e1]Nigel Stanger
, Brendon J. Woodford, Michael Winikoff, David M. Eyers, Veronica Liesaputra Joachim, Daniel Alencar da Costa, Andrew Trotman:
ACSW '21: 2021 Australasian Computer Science Week Multiconference, Dunedin, New Zealand, 1-5 February, 2021. ACM 2021, ISBN 978-1-4503-8956-3 [contents]
Coauthor Index
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last updated on 2024-06-10 21:20 CEST by the dblp team
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