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ORCIDGillian Dobbie
Gill Dobbie
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- affiliation: University of Auckland, New Zealand
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2020 – today
- 2025
[e22]Quan Z. Sheng
, Gill Dobbie, Jing Jiang, Xuyun Zhang, Wei Emma Zhang, Yannis Manolopoulos, Jia Wu, Wathiq Mansoor, Congbo Ma:
Advanced Data Mining and Applications - 20th International Conference, ADMA 2024, Sydney, NSW, Australia, December 3-5, 2024, Proceedings, Part I. Lecture Notes in Computer Science 15387, Springer 2025, ISBN 978-981-96-0810-2 [contents]- [e21]Quan Z. Sheng, Gill Dobbie, Jing Jiang, Xuyun Zhang, Wei Emma Zhang, Yannis Manolopoulos, Jia Wu, Wathiq Mansoor, Congbo Ma:
Advanced Data Mining and Applications - 20th International Conference, ADMA 2024, Sydney, NSW, Australia, December 3-5, 2024, Proceedings, Part II. Lecture Notes in Computer Science 15388, Springer 2025, ISBN 978-981-96-0813-3 [contents] - [e20]Quan Z. Sheng, Gill Dobbie, Jing Jiang, Xuyun Zhang, Wei Emma Zhang, Yannis Manolopoulos, Jia Wu, Wathiq Mansoor, Congbo Ma:
Advanced Data Mining and Applications - 20th International Conference, ADMA 2024, Sydney, NSW, Australia, December 3-5, 2024, Proceedings, Part III. Lecture Notes in Computer Science 15389, Springer 2025, ISBN 978-981-96-0820-1 [contents] - [e19]Quan Z. Sheng, Gill Dobbie, Jing Jiang, Xuyun Zhang, Wei Emma Zhang, Yannis Manolopoulos, Jia Wu, Wathiq Mansoor, Congbo Ma:
Advanced Data Mining and Applications - 20th International Conference, ADMA 2024, Sydney, NSW, Australia, December 3-5, 2024, Proceedings, Part IV. Lecture Notes in Computer Science 15390, Springer 2025, ISBN 978-981-96-0839-3 [contents] - [e18]Quan Z. Sheng, Gill Dobbie, Jing Jiang, Xuyun Zhang, Wei Emma Zhang, Yannis Manolopoulos, Jia Wu, Wathiq Mansoor, Congbo Ma:
Advanced Data Mining and Applications - 20th International Conference, ADMA 2024, Sydney, NSW, Australia, December 3-5, 2024, Proceedings, Part V. Lecture Notes in Computer Science 15391, Springer 2025, ISBN 978-981-96-0846-1 [contents] - [e17]Quan Z. Sheng, Gill Dobbie, Jing Jiang, Xuyun Zhang, Wei Emma Zhang, Yannis Manolopoulos, Jia Wu, Wathiq Mansoor, Congbo Ma:
Advanced Data Mining and Applications - 20th International Conference, ADMA 2024, Sydney, NSW, Australia, December 3-5, 2024, Proceedings, Part VI. Lecture Notes in Computer Science 15392, Springer 2025, ISBN 978-981-96-0849-2 [contents] - 2024
- [j42]Steffen Albrecht, David Broderick, Katharina Dost, Isabella Cheung, Nhung Nghiem, Milton Wu, Johnny Zhu, Nooriyan Poonawala-Lohani, Sarah Jamison, Damayanthi Rasanathan, Sue Huang, Adrian Trenholme, Alicia Stanley, Shirley Lawrence, Samantha Marsh, Lorraine Castelino, Janine Paynter, Nikki Turner, Peter McIntyre, Patricia Riddle, Cameron Grant, Gillian Dobbie, Jörg Simon Wicker:
Forecasting severe respiratory disease hospitalizations using machine learning algorithms. BMC Medical Informatics Decis. Mak. 24(1): 293 (2024) - [j41]Hongsheng Hu, Xuyun Zhang, Zoran Salcic, Lichao Sun, Kim-Kwang Raymond Choo, Gillian Dobbie:
Source Inference Attacks: Beyond Membership Inference Attacks in Federated Learning. IEEE Trans. Dependable Secur. Comput. 21(4): 3012-3029 (2024) - [c149]Di Zhao, Yun Sing Koh, Gillian Dobbie, Hongsheng Hu, Philippe Fournier-Viger:
Symmetric Self-Paced Learning for Domain Generalization. AAAI 2024: 16961-16969 - [c148]Gaël Gendron, Yang Chen, Mitchell Rogers, Yiping Liu, Mihailo Azhar, Shahrokh Heidari, David Arturo Soriano Valdez, Kobe Knowles, Padriac O'Leary, Simon Eyre, Michael Witbrock, Gillian Dobbie, Jiamou Liu, Patrice Delmas:
Behaviour Modelling of Social Animals via Causal Structure Discovery and Graph Neural Networks. AAMAS 2024: 2276-2278 - [c147]Wernsen Wong, Yun Sing Koh, Gillian Dobbie:
Learning After Learning: Positive Backward Transfer in Continual Learning. ECAI 2024: 2019-2026 - [c146]Gaël Gendron, Bao Trung Nguyen, Alex Yuxuan Peng, Michael J. Witbrock, Gillian Dobbie:
Can Large Language Models Learn Independent Causal Mechanisms? EMNLP 2024: 6678-6701 - [c145]Gaël Gendron, Qiming Bao, Michael Witbrock, Gillian Dobbie:
Large Language Models Are Not Strong Abstract Reasoners. IJCAI 2024: 6270-6278 - [c144]Bowen Chen, Yun Sing Koh, Gillian Dobbie:
SSAT-Adapter: Enhancing Vision-Language Model Few-shot Learning with Auxiliary Tasks. ACM Multimedia 2024: 1004-1013 - [c143]Yifeng Ma, Gillian Dobbie, Nalin Asanka Gamagedara Arachchilage:
Combating Phishing in the Age of Fake News: A Novel Approach with Text-to-Text Transfer Transformer. SCID@AsiaCCS 2024: 5 - [c142]Bowen Chen, Gillian Dobbie, Neelesh Rampal, Yun Sing Koh:
Unveiling Climate Drivers via Feature Importance Shift Analysis in New Zealand. WWW 2024: 4595-4606 - [i21]Gaël Gendron, Bao Trung Nguyen, Alex Yuxuan Peng, Michael Witbrock, Gillian Dobbie:
Can Large Language Models Learn Independent Causal Mechanisms? CoRR abs/2402.02636 (2024) - [i20]Gaël Gendron, Michael Witbrock, Gillian Dobbie:
Robust Domain Generalisation with Causal Invariant Bayesian Neural Networks. CoRR abs/2410.06349 (2024) - [i19]Gaël Gendron, Joze M. Rozanec, Michael Witbrock, Gillian Dobbie:
Counterfactual Causal Inference in Natural Language with Large Language Models. CoRR abs/2410.06392 (2024) - 2023
- [j40]Hongsheng Hu, Gillian Dobbie, Zoran Salcic, Meng Liu, Jianbing Zhang, Lingjuan Lyu, Xuyun Zhang:
Differentially private locality sensitive hashing based federated recommender system. Concurr. Comput. Pract. Exp. 35(14) (2023) - [j39]Sihem Amer-Yahia, Divyakant Agrawal, Yael Amsterdamer, Sourav S. Bhowmick, Angela Bonifati, Renata Borovica-Gajic, Jesús Camacho-Rodríguez, Barbara Catania, Panos K. Chrysanthis, Carlo Curino, Jérôme Darmont, Gillian Dobbie, Amr El Abbadi, Avrilia Floratou, Juliana Freire, Alekh Jindal, Vana Kalogeraki, Sujaya Maiyya, Alexandra Meliou, Madhulika Mohanty, Behrooz Omidvar-Tehrani, Fatma Özcan, Liat Peterfreund, Wenny Rahayu, Shazia Sadiq, Sana Sellami, Utku Sirin, Wang-Chiew Tan, Bhavani Thuraisingham, Yuanyuan Tian, Pinar Tözün, Genoveva Vargas-Solar, Neeraja J. Yadwadkar, Victor Zakhary, Meihui Zhang:
Diversity, Equity and Inclusion Activities in Database Conferences: A 2022 Report. SIGMOD Rec. 52(2): 38-42 (2023) - [j38]Cheng-Hao Cai, Jing Sun, Gillian Dobbie:
Automatic refactoring of conditions and substitutions for B state transition models. Softw. Pract. Exp. 53(11): 2241-2270 (2023) - [c141]Vithya Yogarajan, Gillian Dobbie, Timothy Pistotti, Joshua Bensemann, Kobe Knowles:
Challenges in Annotating Datasets to Quantify Bias in Under-represented Society. ETHAICS@IJCAI 2023 - [c140]Kobe Knowles, Joshua Bensemann, Diana Benavides Prado, Vithya Yogarajan, Michael Witbrock, Gillian Dobbie, Yang Chen:
Neuromodulation Gated Transformer. Tiny Papers @ ICLR 2023 - [c139]Vithya Yogarajan, Gillian Dobbie, Henry Gouk:
Effectiveness of Debiasing Techniques: An Indigenous Qualitative Analysis. Tiny Papers @ ICLR 2023 - [c138]Gaël Gendron, Michael Witbrock, Gillian Dobbie:
Disentanglement of Latent Representations via Causal Interventions. IJCAI 2023: 3239-3247 - [c137]Vithya Yogarajan, Gillian Dobbie, Sharon Leitch, David Reith:
Developing a Fair AI-based Healthcare Framework with Feedback Loop. KDH@IJCAI 2023 - [c136]Xinglong Chang, Katharina Dost, Kaiqi Zhao, Ambra Demontis, Fabio Roli, Gillian Dobbie, Jörg Wicker:
BAARD: Blocking Adversarial Examples by Testing for Applicability, Reliability and Decidability. PAKDD (1) 2023: 3-14 - [c135]Wernsen Wong, Yun Sing Koh, Gillian Dobbie:
Using Flexible Memories to Reduce Catastrophic Forgetting. PAKDD (2) 2023: 219-230 - [c134]Zeyu Chen, Katharina Dost, Xuan Zhu, Xinglong Chang, Gillian Dobbie, Jörg Wicker:
Targeted Attacks on Time Series Forecasting. PAKDD (4) 2023: 314-327 - [c133]Jingrui Zhang, Ninh Pham, Gillian Dobbie:
A Transductive Forest for Anomaly Detection with Few Labels. ECML/PKDD (1) 2023: 286-301 - [c132]Andrew Meads, Yu-Cheng Tu, Gillian Dobbie:
Moving a Bootcamp-Style Computer Science Programme Online: An Experience Report. SIGCSE (1) 2023: 785-791 - [e16]Amr El Abbadi, Gillian Dobbie, Zhiyong Feng, Lu Chen, Xiaohui Tao, Yingxia Shao, Hongzhi Yin:
Database Systems for Advanced Applications. DASFAA 2023 International Workshops - BDMS 2023, BDQM 2023, GDMA 2023, BundleRS 2023, Tianjin, China, April 17-20, 2023, Proceedings. Lecture Notes in Computer Science 13922, Springer 2023, ISBN 978-3-031-35414-4 [contents] - [e15]Xin Wang, Maria Luisa Sapino, Wook-Shin Han, Amr El Abbadi, Gill Dobbie, Zhiyong Feng, Yingxiao Shao, Hongzhi Yin:
Database Systems for Advanced Applications - 28th International Conference, DASFAA 2023, Tianjin, China, April 17-20, 2023, Proceedings, Part I. Lecture Notes in Computer Science 13943, Springer 2023, ISBN 978-3-031-30636-5 [contents] - [e14]Xin Wang, Maria Luisa Sapino, Wook-Shin Han, Amr El Abbadi, Gill Dobbie, Zhiyong Feng, Yingxiao Shao, Hongzhi Yin:
Database Systems for Advanced Applications - 28th International Conference, DASFAA 2023, Tianjin, China, April 17-20, 2023, Proceedings, Part II. Lecture Notes in Computer Science 13944, Springer 2023, ISBN 978-3-031-30671-6 [contents] - [e13]Xin Wang, Maria Luisa Sapino, Wook-Shin Han, Amr El Abbadi, Gill Dobbie, Zhiyong Feng, Yingxiao Shao, Hongzhi Yin:
Database Systems for Advanced Applications - 28th International Conference, DASFAA 2023, Tianjin, China, April 17-20, 2023, Proceedings, Part III. Lecture Notes in Computer Science 13945, Springer 2023, ISBN 978-3-031-30674-7 [contents] - [e12]Xin Wang, Maria Luisa Sapino, Wook-Shin Han, Amr El Abbadi, Gill Dobbie, Zhiyong Feng, Yingxiao Shao, Hongzhi Yin:
Database Systems for Advanced Applications - 28th International Conference, DASFAA 2023, Tianjin, China, April 17-20, 2023, Proceedings, Part IV. Lecture Notes in Computer Science 13946, Springer 2023, ISBN 978-3-031-30677-8 [contents] - [e11]Pari Delir Haghighi, Eric Pardede, Gillian Dobbie, Vithya Yogarajan, Ngurah Agus Sanjaya Er, Gabriele Kotsis, Ismail Khalil:
Information Integration and Web Intelligence - 25th International Conference, iiWAS 2023, Denpasar, Bali, Indonesia, December 4-6, 2023, Proceedings. Lecture Notes in Computer Science 14416, Springer 2023, ISBN 978-3-031-48315-8 [contents] - [i18]Gaël Gendron, Michael Witbrock, Gillian Dobbie:
A Survey of Methods, Challenges and Perspectives in Causality. CoRR abs/2302.00293 (2023) - [i17]Gaël Gendron, Michael Witbrock, Gillian Dobbie:
Disentanglement of Latent Representations via Sparse Causal Interventions. CoRR abs/2302.00869 (2023) - [i16]Vithya Yogarajan, Gillian Dobbie, Henry Gouk:
Effectiveness of Debiasing Techniques: An Indigenous Qualitative Analysis. CoRR abs/2304.11094 (2023) - [i15]Kobe Knowles, Joshua Bensemann, Diana Benavides-Prado, Vithya Yogarajan, Michael Witbrock, Gillian Dobbie, Yang Chen:
Neuromodulation Gated Transformer. CoRR abs/2305.03232 (2023) - [i14]Gaël Gendron, Qiming Bao, Michael Witbrock, Gillian Dobbie:
Large Language Models Are Not Abstract Reasoners. CoRR abs/2305.19555 (2023) - [i13]Vithya Yogarajan, Gillian Dobbie, Timothy Pistotti, Joshua Bensemann, Kobe Knowles:
Challenges in Annotating Datasets to Quantify Bias in Under-represented Society. CoRR abs/2309.08624 (2023) - [i12]Hongsheng Hu, Xuyun Zhang, Zoran Salcic, Lichao Sun, Kim-Kwang Raymond Choo, Gillian Dobbie:
Source Inference Attacks: Beyond Membership Inference Attacks in Federated Learning. CoRR abs/2310.00222 (2023) - [i11]Xinglong Chang, Gillian Dobbie, Jörg Wicker:
Fast Adversarial Label-Flipping Attack on Tabular Data. CoRR abs/2310.10744 (2023) - [i10]Xinglong Chang, Katharina Dost, Gillian Dobbie, Jörg Wicker:
Poison is Not Traceless: Fully-Agnostic Detection of Poisoning Attacks. CoRR abs/2310.16224 (2023) - [i9]Vithya Yogarajan, Gillian Dobbie, Te Taka Keegan, Rostam J. Neuwirth:
Tackling Bias in Pre-trained Language Models: Current Trends and Under-represented Societies. CoRR abs/2312.01509 (2023) - [i8]Gaël Gendron, Yang Chen, Mitchell Rogers, Yiping Liu, Mihailo Azhar, Shahrokh Heidari, David Arturo Soriano Valdez, Kobe Knowles, Padriac O'Leary, Simon Eyre, Michael Witbrock, Gillian Dobbie, Jiamou Liu, Patrice Delmas:
Behaviour Modelling of Social Animals via Causal Structure Discovery and Graph Neural Networks. CoRR abs/2312.14333 (2023) - 2022
- [j37]Hongsheng Hu, Zoran Salcic, Lichao Sun, Gillian Dobbie, Philip S. Yu, Xuyun Zhang:
Membership Inference Attacks on Machine Learning: A Survey. ACM Comput. Surv. 54(11s): 235:1-235:37 (2022) - [j36]Cheng-Hao Cai, Jing Sun, Gillian Dobbie, Zhé Hóu, Hadrien Bride, Jin Song Dong, Scott Uk-Jin Lee:
Fast Automated Abstract Machine Repair Using Simultaneous Modifications and Refactoring. Formal Aspects Comput. 34(2): 1-31 (2022) - [j35]Vithya Yogarajan, Gillian Dobbie, Sharon Leitch, Te Taka Keegan, Joshua Bensemann, Michael Witbrock, Varsha Asrani, David Reith:
Data and model bias in artificial intelligence for healthcare applications in New Zealand. Frontiers Comput. Sci. 4 (2022) - [j34]Ocean Wu, Yun Sing Koh, Gillian Dobbie, Thomas Lacombe:
Probabilistic exact adaptive random forest for recurrent concepts in data streams. Int. J. Data Sci. Anal. 13(1): 17-32 (2022) - [j33]Cheng-Hao Cai, Jing Sun, Gillian Dobbie:
B model quality assessments on automated reachability repair with ISO/IEC 25010. Sci. Comput. Program. 214: 102732 (2022) - [c131]Bowen Chen, Yun Sing Koh, Gillian Dobbie, Ocean Wu, Guy Coulson, Gustavo Olivares:
Online Air Pollution Inference using Concept Recurrence and Transfer Learning. DSAA 2022: 1-10 - [c130]Ocean Wu, Yun Sing Koh, Gillian Dobbie, Thomas Lacombe:
Cost-Effective Transfer Learning for Data Streams. ICDM 2022: 1233-1238 - [c129]Hongsheng Hu, Zoran Salcic, Gillian Dobbie, Jinjun Chen, Lichao Sun, Xuyun Zhang:
Membership Inference via Backdooring. IJCAI 2022: 3832-3838 - [i7]Hongsheng Hu, Zoran Salcic, Gillian Dobbie, Jinjun Chen, Lichao Sun, Xuyun Zhang:
Membership Inference via Backdooring. CoRR abs/2206.04823 (2022) - 2021
- [c128]Ocean Wu, Yun Sing Koh, Gillian Dobbie, Thomas Lacombe:
Transfer Learning with Adaptive Online TrAdaBoost for Data Streams. ACML 2021: 1017-1032 - [c127]Hongsheng Hu, Zoran Salcic, Lichao Sun, Gillian Dobbie, Xuyun Zhang:
Source Inference Attacks in Federated Learning. ICDM 2021: 1102-1107 - [c126]Hongsheng Hu, Zoran Salcic, Gillian Dobbie, Yi Chen, Xuyun Zhang:
EAR: An Enhanced Adversarial Regularization Approach against Membership Inference Attacks. IJCNN 2021: 1-8 - [c125]Thomas Lacombe, Yun Sing Koh, Gillian Dobbie, Ocean Wu:
A Meta-Learning Approach for Automated Hyperparameter Tuning in Evolving Data Streams. IJCNN 2021: 1-8 - [c124]Ocean Wu, Yun Sing Koh, Gillian Dobbie, Thomas Lacombe:
Nacre: Proactive Recurrent Concept Drift Detection in Data Streams. IJCNN 2021: 1-8 - [i6]Hongsheng Hu, Zoran Salcic, Gillian Dobbie, Xuyun Zhang:
Membership Inference Attacks on Machine Learning: A Survey. CoRR abs/2103.07853 (2021) - [i5]Luke Chang, Katharina Dost, Kaiqi Zhao, Ambra Demontis, Fabio Roli, Gill Dobbie, Jörg Wicker:
Intriguing Usage of Applicability Domain: Lessons from Cheminformatics Applied to Adversarial Learning. CoRR abs/2105.00495 (2021) - [i4]Hongsheng Hu, Zoran Salcic, Lichao Sun, Gillian Dobbie, Xuyun Zhang:
Source Inference Attacks in Federated Learning. CoRR abs/2109.05659 (2021) - 2020
- [j32]Sijie Zhuo, Lucas Sherlock, Gillian Dobbie, Yun Sing Koh, Giovanni Russello, Danielle M. Lottridge:
Real-time Smartphone Activity Classification Using Inertial Sensors - Recognition of Scrolling, Typing, and Watching Videos While Sitting or Walking. Sensors 20(3): 655 (2020) - [c123]Hongsheng Hu, Gillian Dobbie, Zoran Salcic, Meng Liu, Jianbing Zhang, Xuyun Zhang:
A Locality Sensitive Hashing Based Approach for Federated Recommender System. CCGRID 2020: 836-842 - [c122]Shuxiang Zhang, David Tse Jung Huang, Gillian Dobbie, Yun Sing Koh:
SLED: Semi-supervised Locally-weighted Ensemble Detector. ICDE 2020: 1838-1841 - [c121]Wernsen Wong, Gillian Dobbie:
Pelican: Continual Adaptation for Phishing Detection. ICDM (Workshops) 2020: 440-447 - [c120]Ocean Wu, Yun Sing Koh, Gillian Dobbie, Thomas Lacombe:
PEARL: Probabilistic Exact Adaptive Random Forest with Lossy Counting for Data Streams. PAKDD (2) 2020: 17-30 - [c119]Hamish Huggard, Yun Sing Koh, Gillian Dobbie, Edmond Zhang:
Detecting Concept Drift In Medical Triage. SIGIR 2020: 1733-1736 - [c118]Chenghao Cai, Jing Sun, Gillian Dobbie:
Measuring the Quality of B Abstract Machines with ISO/IEC 25010. TASE 2020: 169-176 - [e10]Gillian Dobbie, Ulrich Frank, Gerti Kappel, Stephen W. Liddle, Heinrich C. Mayr:
Conceptual Modeling - 39th International Conference, ER 2020, Vienna, Austria, November 3-6, 2020, Proceedings. Lecture Notes in Computer Science 12400, Springer 2020, ISBN 978-3-030-62521-4 [contents] - [i3]Chenghao Cai, Jing Sun, Gillian Dobbie:
Measuring the Quality of B Abstract Machines with ISO/IEC 25010. CoRR abs/2003.02619 (2020)
2010 – 2019
- 2019
- [j31]Chenghao Cai, Jing Sun, Gillian Dobbie:
Automatic B-model repair using model checking and machine learning. Autom. Softw. Eng. 26(3): 653-704 (2019) - [j30]Ranran Bian, Yun Sing Koh, Gillian Dobbie, Anna Divoli:
Identifying Top-k Nodes in Social Networks: A Survey. ACM Comput. Surv. 52(1): 22:1-22:33 (2019) - [j29]Robert Anderson, Yun Sing Koh, Gillian Dobbie, Albert Bifet:
Recurring concept meta-learning for evolving data streams. Expert Syst. Appl. 138 (2019) - [c117]Ian Shane Wong, Gillian Dobbie, Yun Sing Koh:
Items2Data: Generating Synthetic Boolean Datasets from Itemsets. ADC 2019: 79-90 - [c116]Chenghao Cai, Jing Sun, Gillian Dobbie, Scott Uk-Jin Lee:
Achieving Abstract Machine Reachability with Learning-Based Model Fulfilment. APSEC 2019: 260-267 - [c115]Wernsen Wong, Yun Sing Koh, Gillian Dobbie:
Using Transfer Learning to Detect Phishing in Countries with a Small Population. AusDM 2019: 129-140 - [c114]Robert Anderson, Yun Sing Koh, Gillian Dobbie:
Classifying Imbalanced Road Accident Data Using Recurring Concept Drift. AusDM 2019: 143-155 - [c113]Chenghao Cai, Jing Sun, Gillian Dobbie:
Design Model Repair with Formal Verification. ICFEM 2019: 489-492 - [c112]Danah Algawiaz, Gillian Dobbie, Shafiq Alam:
Predicting a User's Purchase Intention Using AdaBoost. ISKE 2019: 324-328 - [c111]Ranran Bian, Yun Sing Koh, Gillian Dobbie, Anna Divoli:
Network Embedding and Change Modeling in Dynamic Heterogeneous Networks. SIGIR 2019: 861-864 - [c110]Danah Algawiaz, Gillian Dobbie, Shafiq Alam:
PRARS: Risk Assessment Model for Recommender Systems. SoMeT 2019: 701-710 - [i2]Robert Anderson, Yun Sing Koh, Gillian Dobbie, Albert Bifet:
Recurring Concept Meta-learning for Evolving Data Streams. CoRR abs/1905.08848 (2019) - 2018
- [c109]Ranran Bian, Yun Sing Koh, Gillian Dobbie, Anna Divoli:
OHC: Uncovering Overlapping Heterogeneous Communities. Australasian Conference on Artificial Intelligence 2018: 193-205 - [c108]Robert Anderson, Yun Sing Koh, Gillian Dobbie:
Lift-Per-Drift: An Evaluation Metric for Classification Frameworks with Concept Drift Detection. Australasian Conference on Artificial Intelligence 2018: 630-642 - [c107]David Tse Jung Huang, Yun Sing Koh, Gillian Dobbie:
Interpreting Intermittent Bugs in Mozilla Applications Using Change Angle. AusDM 2018: 318-330 - [c106]Qiao Gao, Mong-Li Lee, Tok Wang Ling, Gillian Dobbie, Zhong Zeng:
Analyzing Temporal Keyword Queries for Interactive Search over Temporal Databases. DEXA (1) 2018: 355-371 - [c105]Qiao Gao, Mong-Li Lee, Gillian Dobbie, Zhong Zeng:
A Semantic Framework for Designing Temporal SQL Databases. ER 2018: 382-396 - [c104]Yun Sing Koh, David Tse Jung Huang, Chris Pearce, Gillian Dobbie:
Volatility Drift Prediction for Transactional Data Streams. ICDM 2018: 1091-1096 - [c103]Chenghao Cai, Jing Sun, Gillian Dobbie:
B-Repair: Repairing B-Models Using Machine Learning. ICECCS 2018: 31-40 - [c102]Robert Anderson, Yun Sing Koh, Gillian Dobbie:
Predicting Concept Drift in Data Streams Using Metadata Clustering. IJCNN 2018: 1-8 - [c101]Jiazhen Chen, Gillian Dobbie, Yun Sing Koh, Elizabeth Somervell, Gustavo Olivares:
Vehicle emission prediction using remote sensing data and machine learning techniques. SAC 2018: 444-451 - [c100]Yu-Cheng Tu, Gillian Dobbie, Ian Warren, Andrew Meads, Cameron Grout:
An Experience Report on a Boot-Camp Style Programming Course. SIGCSE 2018: 509-514 - [r8]Gillian Dobbie, Tok Wang Ling:
Functional Dependencies for Semistructured Data. Encyclopedia of Database Systems (2nd ed.) 2018 - [r7]Gillian Dobbie, Tok Wang Ling:
Normal Form ORA-SS Schema Diagrams. Encyclopedia of Database Systems (2nd ed.) 2018 - [r6]Gillian Dobbie, Tok Wang Ling:
Object Relationship Attribute Data Model for Semistructured Data. Encyclopedia of Database Systems (2nd ed.) 2018 - [r5]Gillian Dobbie, Tok Wang Ling:
Semi-structured Database Design. Encyclopedia of Database Systems (2nd ed.) 2018 - 2017
- [j28]M. Shaban Jokhio, Jing Sun, Gillian Dobbie, Tianming Hu:
Goal-based testing of semantic web services. Inf. Softw. Technol. 83: 1-13 (2017) - [j27]M. Asif Naeem, Gillian Dobbie, Christof Lutteroth, Gerald Weber:
Skewed distributions in semi-stream joins: How much can caching help? Inf. Syst. 64: 63-74 (2017) - [j26]Xiaogang Shi, Bin Cui, Gillian Dobbie, Beng Chin Ooi:
UniAD: A Unified Ad Hoc Data Processing System. ACM Trans. Database Syst. 42(1): 6:1-6:42 (2017) - [c99]Muhammad Rizwan Asghar, TzeHowe Lee, Mirza Mansoor Baig, Ehsan Ullah, Giovanni Russello, Gillian Dobbie:
A Review of Privacy and Consent Management in Healthcare: A Focus on Emerging Data Sources. eScience 2017: 518-522 - [c98]Ruolin Jia, Yun Sing Koh, Gillian Dobbie:
Volatility Adaptive Classifier System. PAKDD (1) 2017: 122-134 - [c97]Anmol Desai, Nicholas Molloy, Jing Sun, Gillian Dobbie:
Visual Development Platform for Ruby on Rails. SEKE 2017: 623 - [i1]Muhammad Rizwan Asghar, TzeHowe Lee, Mirza Mansoor Baig, Ehsan Ullah, Giovanni Russello, Gillian Dobbie:
A Review of Privacy and Consent Management in Healthcare: A Focus on Emerging Data Sources. CoRR abs/1711.00546 (2017) - 2016
- [j25]