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ORCIDGillian Dobbie
Gill Dobbie
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- affiliation: University of Auckland, New Zealand
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2020 – today
- 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)- [c145]Di Zhao, Yun Sing Koh, Gillian Dobbie, Hongsheng Hu, Philippe Fournier-Viger:
Symmetric Self-Paced Learning for Domain Generalization. AAAI 2024: 16961-16969 - [c144]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 - [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 - [i19]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) - 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]Tian Huang, Yongxin Zhu, Yafei Wu, Stéphane Bressan, Gillian Dobbie:
Anomaly detection and identification scheme for VM live migration in cloud infrastructure. Future Gener. Comput. Syst. 56: 736-745 (2016) - [j24]Candice Eckert, Brian Cham, Pengyi Li, Jing Sun, Gillian Dobbie:
Linking Design Model with Code. Int. J. Softw. Eng. Knowl. Eng. 26(9-10): 1473-1492 (2016) - [c96]Robert Anderson, Yun Sing Koh, Gillian Dobbie:
CPF: Concept Profiling Framework for Recurring Drifts in Data Streams. Australasian Conference on Artificial Intelligence 2016: 203-214 - [c95]Shafiq Alam, Gillian Dobbie, XiaoBin Sun:
Improving Imputation Accuracy in Ordinal Data Using Classification. ISDA 2016: 45-56 - [c94]Se Yeong Jeong, Yun Sing Koh, Gillian Dobbie:
Phishing Detection on Twitter Streams. PAKDD Workshops 2016: 141-153 - [c93]Tian Huang, Yongxin Zhu, Yishu Mao, Xinyang Li, Mengyun Liu, Yafei Wu, Yajun Ha, Gillian Dobbie:
Parallel Discord Discovery. PAKDD (2) 2016: 233-244 - [c92]Candice Eckert, Brian Cham, Jing Sun, Gillian Dobbie:
From Design to Code: An Educational Approach. SEKE 2016: 443-448 - [e9]James Bailey, Latifur Khan, Takashi Washio, Gillian Dobbie, Joshua Zhexue Huang, Ruili Wang:
Advances in Knowledge Discovery and Data Mining - 20th Pacific-Asia Conference, PAKDD 2016, Auckland, New Zealand, April 19-22, 2016, Proceedings, Part I. Lecture Notes in Computer Science 9651, Springer 2016, ISBN 978-3-319-31752-6 [contents] - [e8]James Bailey, Latifur Khan, Takashi Washio, Gillian Dobbie, Joshua Zhexue Huang, Ruili Wang:
Advances in Knowledge Discovery and Data Mining - 20th Pacific-Asia Conference, PAKDD 2016, Auckland, New Zealand, April 19-22, 2016, Proceedings, Part II. Lecture Notes in Computer Science 9652, Springer 2016, ISBN 978-3-319-31749-6 [contents] - 2015
- [j23]Matthias Jarke, Gillian Dobbie, Eric S. K. Yu:
Special Issue on Advances in Conceptual Modeling (ER 2014). Data Knowl. Eng. 99: 1-2 (2015) - [j22]Shafiq Alam, Gillian Dobbie, Saeed Ur Rehman:
Analysis of particle swarm optimization based hierarchical data clustering approaches. Swarm Evol. Comput. 25: 36-51 (2015) - [j21]Yi Song, Stéphane Bressan, Gillian Dobbie:
Fast Disjoint and Overlapping Community Detection. Trans. Large Scale Data Knowl. Centered Syst. 18: 153-179 (2015) - [j20]David Tse Jung Huang, Yun Sing Koh, Gillian Dobbie:
Rare Pattern Mining from Data Streams Using SRP-Tree and Its Variants. Trans. Large Scale Data Knowl. Centered Syst. 21: 140-160 (2015) - [c91]Ranjini Swaminathan, Mohan Sridharan, Gillian Dobbie, Katharine Hayhoe:
Modeling Ice Storm Climatology. Australasian Conference on Artificial Intelligence 2015: 539-553 - [c90]Mohammad Abdullatif, Yun Sing Koh, Gillian Dobbie:
Unsupervised Semantic and Syntactic Based Classification of Scientific Citations. DaWaK 2015: 28-39 - [c89]Prashant Gupta, Mark Gahegan, Gillian Dobbie:
Adventures of Categories: Modelling the Evolution of Categories During Scientific Investigation. e-Science 2015: 1-11 - [c88]Mozhgan Memari, Sebastian Link, Gillian Dobbie:
SQL Data Profiling of Foreign Keys. ER 2015: 229-243 - [c87]Ryan K. L. Ko, Giovanni Russello, Richard Nelson, Shaoning Pang, Aloysius Cheang, Gillian Dobbie, Abdolhossein Sarrafzadeh, Sivadon Chaisiri, Muhammad Rizwan Asghar, Geoffrey Holmes:
STRATUS: Towards Returning Data Control to Cloud Users. ICA3PP (Workshops and Symposiums) 2015: 57-70 - [c86]David Tse Jung Huang, Yun Sing Koh, Gillian Dobbie, Albert Bifet:
Drift Detection Using Stream Volatility. ECML/PKDD (1) 2015: 417-432 - 2014
- [j19]Sidney Tsang, Yun Sing Koh, Gillian Dobbie, Shafiq Alam:
Detecting online auction shilling frauds using supervised learning. Expert Syst. Appl. 41(6): 3027-3040 (2014) - [j18]M. Asif Naeem, Gillian Dobbie, Gerald Weber:
Efficient processing of streaming updates with archived master data in near-real-time data warehousing. Knowl. Inf. Syst. 40(3): 615-637 (2014) - [j17]