Sign in
AusDM
2002
2009
2015
2022
2002
2022
Keyphrases
Publications
2022
Vladimir Estivill-Castro
,
Eugene Gilmore
,
René Hexel
Interpretable Decisions Trees via Human-in-the-Loop-Learning.
AusDM
(2022)
Naureen Naqvi
,
Sabih ur Rehman
,
Md Zahidul Islam
WinDrift: Early Detection of Concept Drift Using Corresponding and Hierarchical Time Windows.
AusDM
(2022)
Amit Kumar
,
Nazanin Esmaili
,
Massimo Piccardi
A Temperature-Modified Dynamic Embedded Topic Model.
AusDM
(2022)
Cody James Christopher
,
Kristen Moore
,
David Liebowitz
SchemaDB: A Dataset for Structures in Relational Data.
AusDM
(2022)
Xiao Li
,
Huizhi Liang
,
Chris Ryder
,
Rodney Jones
,
Zehao Liu
Attractiveness Analysis for Health Claims on Food Packages.
AusDM
(2022)
Adam Gabriel Dobrakowski
,
Andrzej Pacuk
,
Piotr Sankowski
,
Marcin Mucha
,
Pawel Brach
Improving Ads-Profitability Using Traffic-Fingerprints.
AusDM
(2022)
Ziyu Zhao
,
Michael Stewart
,
Wei Liu
,
Tim French
,
Melinda Hodkiewicz
Natural Language Query for Technical Knowledge Graph Navigation.
AusDM
(2022)
Sharon Torao-Pingi
,
Md. Abul Bashar
,
Richi Nayak
A Comparative Look at the Resilience of Discriminative and Generative Classifiers to Missing Data in Longitudinal Datasets.
AusDM
(2022)
Krithik Ramesh
,
Yun Sing Koh
Investigation of Explainability Techniques for Multimodal Transformers.
AusDM
(2022)
Zhonglin Qu
,
Yezihalem Tegegne
,
Simeon J. Simoff
,
Paul J. Kennedy
,
Daniel R. Catchpoole
,
Quang Vinh Nguyen
Enhancing Understandability of Omics Data with SHAP, Embedding Projections and Interactive Visualisations.
AusDM
(2022)
Stuart Fitzpatrick
,
Laurence A. F. Park
,
Oliver Obst
Measuring Content Preservation in Textual Style Transfer.
AusDM
(2022)
Eric Austin
,
Amine Trabelsi
,
Christine Largeron
,
Osmar R. Zaïane
Hierarchical Topic Model Inference by Community Discovery on Word Co-occurrence Networks.
AusDM
(2022)
Qiang Sun
,
Wei Liu
,
Du Huynh
,
Mark Reynolds
Graph Embeddings for Non-IID Data Feature Representation Learning.
AusDM
(2022)
Bowen Chen
,
Yun Sing Koh
,
Ben Halstead
Measuring Difficulty of Learning Using Ensemble Methods.
AusDM
(2022)
Yashodhya V. Wijesinghe
,
Yue Xu
,
Yuefeng Li
,
Qing Zhang
UMLS-Based Question-Answering Approach for Automatic Initial Frailty Assessment.
AusDM
(2022)
Han Tai
,
Raymond K. Wong
,
Bing Li
Effective Imbalance Learning Utilizing Informative Data.
AusDM
(2022)
Rob Muspratt
,
Musa Mammadov
Decomposition of Service Level Encoding for Anomaly Detection.
AusDM
(2022)
volume 1741, 2022
Data Mining - 20th Australasian Conference, AusDM 2022, Western Sydney, Australia, December 12-15, 2022, Proceedings
AusDM
1741 (2022)
2021
Duoyi Zhang
,
Richi Nayak
,
Md. Abul Bashar
Exploring Fusion Strategies in Deep Learning Models for Multi-Modal Classification.
AusDM
(2021)
Darren Yates
,
Md Zahidul Islam
,
Yanchang Zhao
,
Richi Nayak
,
Vladimir Estivill-Castro
,
Salil S. Kanhere
PostMatch: A Framework for Efficient Address Matching.
AusDM
(2021)
David Lovell
,
Bridget McCarron
,
Brendan Langfield
,
Khoa Tran
,
Andrew P. Bradley
Taking the Confusion Out of Multinomial Confusion Matrices and Imbalanced Classes.
AusDM
(2021)
Yasuko Okamoto
,
Thirunavukarasu Balasubramaniam
,
Richi Nayak
Investigation of Topic Modelling Methods for Understanding the Reports of the Mining Projects in Queensland.
AusDM
(2021)
Diviya Thilakeswaran
,
Simon McManis
,
X. Rosalind Wang
Chameleon: A Python Workflow Toolkit for Feature Selection.
AusDM
(2021)
Ernst Leierzopf
,
Vasily Mikhalev
,
Nils Kopal
,
Bernhard Esslinger
,
Harald Lampesberger
,
Eckehard Hermann
Detection of Classical Cipher Types with Feature-Learning Approaches.
AusDM
(2021)
Prasannakumaran Dhanasekaran
,
Harish Srinivasan
,
S. Sowmiya Sree
,
Sri Gayathri Devi I
,
Saikrishnan Sankar
,
Vineeth Vijayaraghavan
SOMPS-Net: Attention Based Social Graph Framework for Early Detection of Fake Health News.
AusDM
(2021)
Yezihalem Tegegne
,
Zhonglin Qu
,
Yu Qian
,
Quang Vinh Nguyen
Parallel Nonlinear Dimensionality Reduction Using GPU Acceleration.
AusDM
(2021)
Taishi Nishiyama
,
Atsutoshi Kumagai
,
Akinori Fujino
,
Kazunori Kamiya
Sharpshooting Most Beneficial Part of AUC for Detecting Malicious Logs.
AusDM
(2021)
Anandkumar Balasubramaniam
,
Thirunavukarasu Balasubramaniam
,
Rathinaraja Jeyaraj
,
Anand Paul
,
Richi Nayak
Nonnegative Matrix Factorization to Understand Spatio-Temporal Traffic Pattern Variations During COVID-19: A Case Study.
AusDM
(2021)
Sea Jung Im
,
Yue Xu
,
Jason Watson
Hospital Readmission Prediction Using Semantic Relations Between Medical Codes.
AusDM
(2021)
Richi Nayak
,
Thirunavukarasu Balasubramaniam
,
Sangeetha Kutty
,
Sachindra Banduthilaka
,
Erin E. Peterson
A Semi-automatic Data Extraction System for Heterogeneous Data Sources: a Case Study from Cotton Industry.
AusDM
(2021)
Zhengxin Fang
,
Mingcheng Qu
,
Shuai Zhang
,
Jingyu Zhang
,
Yi Yuan
,
Lina Yao
,
Shiping Chen
HFM++: An Enhanced Holographic Factorization Machine for Recommendation.
AusDM
(2021)
Darshika N. Koggalahewa
,
Yue Xu
,
Ernest Foo
A Drift Aware Hierarchical Test Based Approach for Combating Social Spammers in Online Social Networks.
AusDM
(2021)
Justin Case
,
Adam E. Clements
The Impact of Sentiment in the News Media on Daily and Monthly Stock Market Returns.
AusDM
(2021)
Md. Abul Bashar
,
Richi Nayak
,
Anjor Kothare
,
Vishal Sharma
,
Kesavan Kandadai
Deep Learning for Bias Detection: From Inception to Deployment.
AusDM
(2021)
volume 1504, 2021
Data Mining - 19th Australasian Conference on Data Mining, AusDM, Brisbane, QLD, Australia, December 14-15, 2021, Proceedings
AusDM
1504 (2021)
2019
Storm Bartlett
,
Md Zahidul Islam
Improving Clustering via a Fine-Grained Parallel Genetic Algorithm with Information Sharing.
AusDM
(2019)
Darren Webb
Applying Softmax Classifiers to Open Set.
AusDM
(2019)
Chee Keong Wee
,
Richi Nayak
Data Replication Optimization Using Simulated Annealing.
AusDM
(2019)
Dakshi Tharanga Kapugama Geeganage
,
Yue Xu
,
Yuefeng Li
Topic Representation using Semantic-Based Patterns.
AusDM
(2019)
Wernsen Wong
,
Yun Sing Koh
,
Gillian Dobbie
Using Transfer Learning to Detect Phishing in Countries with a Small Population.
AusDM
(2019)
Priya Mehta
,
Jithin Mathews
,
K. Sandeep Kumar
,
K. Suryamukhi
,
Ch. Sobhan Babu
Curtailing the Tax Leakages by Nabbing Return Defaulters in Taxation System.
AusDM
(2019)
Inna Kolyshkina
,
Simeon Simoff
Interpretability of Machine Learning Solutions in Industrial Decision Engineering.
AusDM
(2019)
Martha Tatusch
,
Gerhard Klassen
,
Marcus Bravidor
,
Stefan Conrad
Show Me Your Friends and I'll Tell You Who You Are. Finding Anomalous Time Series by Conspicuous Cluster Transitions.
AusDM
(2019)
Wenying Xu
,
Scott Luo
,
Stephanie Hacksley
,
Tim Trewinnard
,
Stuart Cambridge
,
Syen Jien Nik
Predictive Analytics for Tertiary Learners in New Zealand Who Are at Risk of Dropping Out of Education.
AusDM
(2019)
Nguyen Thanh Toan
,
Orçun Gümüs
,
Thanh Tam Nguyen
,
Nguyen Quoc Viet Hung
,
René Hexel
,
Jun Jo
Joint Sequential Data Prediction with Multi-stream Stacked LSTM Network.
AusDM
(2019)
Robert Anderson
,
Yun Sing Koh
,
Gillian Dobbie
Classifying Imbalanced Road Accident Data Using Recurring Concept Drift.
AusDM
(2019)
Hung Nguyen
,
Duc Thanh Nguyen
,
Thin Nguyen
SPDF: Set Probabilistic Distance Features for Prediction of Population Health Outcomes via Social Media.
AusDM
(2019)
Darren Yates
,
Md Zahidul Islam
Readiness of Smartphones for Data Collection and Data Mining with an Example Application in Mental Health.
AusDM
(2019)
volume 1127, 2019
Data Mining - 17th Australasian Conference, AusDM 2019, Adelaide, SA, Australia, December 2-5, 2019, Proceedings
AusDM
1127 (2019)
volume 996, 2019
Data Mining - 16th Australasian Conference, AusDM 2018, Bahrurst, NSW, Australia, November 28-30, 2018, Revised Selected Papers
AusDM
996 (2019)