Lightweight realistic books: the greenstone connection. - Veronica Liesaputra; Ian H. Witten; David Bainbridge 001 (JCDL, 2007)

Seeking information in realistic books: a user study. - Veronica Liesaputra; Ian H. Witten (JCDL, 2008)

Searching in a Book. - Veronica Liesaputra; Ian H. Witten; David Bainbridge 001 (ECDL, 2009)

Creating and Reading Realistic Electronic Books. - Veronica Liesaputra; Ian H. Witten; David Bainbridge 001 (Computer, 2009)

Computer graphics techniques for modeling page turning. - Veronica Liesaputra; Ian H. Witten (Int. J. Digit. Libr., 2009)

A Bookmaker's Workbench. - Veronica Liesaputra; Ian H. Witten (CHINZ, 2011)

Realistic electronic books. - Veronica Liesaputra; Ian H. Witten (Int. J. Hum. Comput. Stud., 2012)

Cloud-Based Video Monitoring Framework: An Approach Based on Software-Defined Networking for Addressing Scalability Problems. - Nay Myo Sandar; Sivadon Chaisiri; Sira Yongchareon; Veronica Liesaputra (WISE Workshops, 2014)

Efficient Process Model Discovery Using Maximal Pattern Mining. - Veronica Liesaputra; Sira Yongchareon; Sivadon Chaisiri (BPM, 2015)

A Process Mining Technique Using Pattern Recognition. - Veronica Liesaputra; Sira Yongchareon; Sivadon Chaisiri (CAiSE Forum, 2015)

Evaluation of Statistical Text Normalisation Techniques for Twitter. - Phavanh Sosamphan; Veronica Liesaputra; Sira Yongchareon; Mahsa Mohaghegh (KDIR, 2016)

A Framework for Evaluating Anti Spammer Systems for Twitter. - Kenny Ho; Veronica Liesaputra; Sira Yongchareon; Mahsa Mohaghegh (OTM Conferences (1), 2017)

Evaluating social spammer detection systems. - Kenny Ho; Veronica Liesaputra; Sira Yongchareon; Mahsa Mohaghegh (ACSW, 2018)

An evaluation on models for particle filtering for resident tracking in a smart home using binary sensors. - Kan Ngamakeur; Sira Yongchareon; Veronica Liesaputra; Jian Yu 002 (ACSW, 2018)

Tracking a Person's Behaviour in a Smart House. - Gavin Chand; Mustafa Ali; Bashar Barmada; Veronica Liesaputra; Guillermo Ramírez-Prado (ICSOC Workshops, 2018)

Detecting Target of Sarcasm using Ensemble Methods. - Pradeesh Parameswaran; Andrew Trotman; Veronica Liesaputra; David M. Eyers (ALTA, 2019)

Non-intrusive behavior awareness for residents of a smart house. - Guillermo Ramírez-Prado; Bashar Barmada; Veronica Liesaputra (IEEE BigData, 2019)

On non-intrusive prediction of activities and behavior. - Guillermo Ramírez-Prado; Bashar Barmada; Veronica Liesaputra (IEEE BigData, 2019)

Resilient Activities Tracking in a Smart Home using Ultrasonic Sensors. - Kashyap Venkatesh; Bashar Barmada; Veronica Liesaputra; Guillermo Ramírez-Prado (IEEE BigData, 2019)

Robust Features for Activities Recognition. - Kashyap Venkatesh; Bashar Barmada; Veronica Liesaputra; Guillermo Ramírez-Prado (IEEE BigData, 2019)

Industry-Focused Projects in an Intense One-Year ICT Programme. - Claudia Ott; Veronica Liesaputra (ACE, 2020)

Classifying Judgements using Transfer Learning. - Pradeesh Parameswaran; Andrew Trotman; Veronica Liesaputra; David M. Eyers (ALTA, 2020)

Detecting Students' Affective States in Industry-focused Projects. - Veronica Liesaputra; Claudia Ott (Koli Calling, 2020)

Future-Proofing Kiwi Kids Through the Use of Digital Technology. - Veronica Liesaputra; Guillermo Ramírez-Prado; Bashar Barmada; Lei Song (SIGCSE, 2020)

BERT's The Word : Sarcasm Target Detection using BERT. - Pradeesh Parameswaran; Andrew Trotman; Veronica Liesaputra; David M. Eyers (ALTA, 2021)

Quick, get me a Dr. BERT: Automatic Grading of Evidence using Transfer Learning. - Pradeesh Parameswaran; Andrew Trotman; Veronica Liesaputra; David M. Eyers (ALTA, 2021)

Detecting the target of sarcasm is hard: Really?? - Pradeesh Parameswaran; Andrew Trotman; Veronica Liesaputra; David M. Eyers (Inf. Process. Manag., 2021)

Using Affective Learning Analytics in Industry-focused Projects: Experiences and Challenges. - Claudia Ott; Veronica Liesaputra (ACE, 2022)

Using Aspect-Based Sentiment Analysis to Classify Attitude-bearing Words. - Pradeesh Parameswaran; Andrew Trotman; Veronica Liesaputra; David M. Eyers (ALTA, 2022)

Reproducibility and Automation of the Appraisal Taxonomy. - Pradeesh Parameswaran; Andrew Trotman; Veronica Liesaputra; David M. Eyers (COLING, 2022)

Locally Weighted Ensemble-Detection-Based Adaptive Random Forest Classifier for Sensor-Based Online Activity Recognition for Multiple Residents. - Dong Chen; Sira Yongchareon; Edmund M.-K. Lai; Quan Z. Sheng; Veronica Liesaputra (IEEE Internet Things J., 2022)

An attention-based CNN-BiLSTM model for depression detection on social media text. - Joel Philip Thekkekara; Sira Yongchareon; Veronica Liesaputra (Expert Syst. Appl., 2024)

An in-depth survey on Deep Learning-based Motor Imagery Electroencephalogram (EEG) classification. - Xianheng Wang; Veronica Liesaputra; Zhaobin Liu; Yi Wang 126; Zhiyi Huang 001 (Artif. Intell. Medicine, 2024)

Feature specific progressive improvement for salient object detection. - Xianheng Wang; Zhaobin Liu; Veronica Liesaputra; Zhiyi Huang 001 (Pattern Recognit., 2024)

Gated parallel feature fusion multi-task learning for motor imagery EEG classification. - Xianheng Wang; Veronica Liesaputra; Zhiyi Huang 001 (Expert Syst. Appl., 2025)

A High-Dynamic-Range SpO₂ Measurement Method Using a Smartphone Camera. - Lu Luo; Tianju Li; Kai Du; Zhiyi Huang 001; Veronica Liesaputra; Zhen Mei; Yuan-Ting Zhang; Xuesheng Ma (IEEE Trans. Instrum. Meas., 2025)

A Survey on LLM-based News Recommender Systems. - Rongyao Wang; Veronica Liesaputra; Zhiyi Huang 001 (CoRR, 2025)