Geoffrey Webb

MONASH UNIVERSITY

Australia

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Articles (27)

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Collaborators (16)

J Simon Bell

MONASH UNIVERSITY

AUSTRALIA

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Christoph Bergmeir

Universidad de Granada

SPAIN

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Dinh Phung

Professor

MONASH UNIVERSITY

AUSTRALIA

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Jiangning (John) Song

MONASH UNIVERSITY

AUSTRALIA

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Seiya Imoto

University of Tokyo

JAPAN

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Germain Forestier

Associate Professor (Adjunct)

MONASH UNIVERSITY

AUSTRALIA

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Shanshan Li

Monash University Malaysia.

AUSTRALIA

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Yixin Liu

MONASH UNIVERSITY

AUSTRALIA

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Robin B. Gasser

Redmond Barry Distinguished Professor

University of Melbourne

AUSTRALIA

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Anton Peleg

MONASH UNIVERSITY

AUSTRALIA

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Daniele Zambon

Università della Svizzera italiana Facoltà di scienze informatiche

SWITZERLAND

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Sonika Tyagi

A/Prof.

RMIT University

AUSTRALIA

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Jenni Ilomaki

Senior Lecturer

AUSTRALIA

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Trung Le

Lecturer

MONASH UNIVERSITY

AUSTRALIA

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Lukasz Kurgan

Robert J. Mattauch Endowed Professor

Virginia Commonwealth University

UNITED STATES

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Shirui Pan

Professor and ARC Future Fellow

Griffith University

AUSTRALIA

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Geoffrey Webb

Research Interests

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Articles (27)

CARLA: Self-supervised contrastive representation learning for time series anomaly detection

AI-driven protein design

DACAD: Domain Adaptation Contrastive Learning for Anomaly Detection in Multivariate Time Series

Dual-View Learning from Crowds

EHR-ML: A data-driven framework for designing machine learning applications with electronic health records

Large language models for scientific discovery in molecular property prediction

A Radiograph Dataset for the Classification, Localization, and Segmentation of Primary Bone Tumors

SCREEN: A Graph-based Contrastive Learning Tool to Infer Catalytic Residues and Assess Enzyme Mutations

Uncertainty-Aware Graph Neural Networks: A Multihop Evidence Fusion Approach

Deep Learning for Time Series Classification and Extrinsic Regression: A Current Survey

A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection

Predicting Pseudomonas aeruginosa drug resistance using artificial intelligence and clinical MALDI-TOF mass spectra

Deep Learning for Time Series Anomaly Detection: A Survey

Physicochemical graph neural network for learning protein–ligand interaction fingerprints from sequence data

GraphormerDTI: A graph transformer-based approach for drug-target interaction prediction

Deep Learning for Satellite Image Time-Series Analysis: A review

COVID-19 restrictions and the incidence and prevalence of prescription opioid use in Australia – a nationwide study

Did Australia's COVID-19 Restrictions Impact Statin Incidence, Prevalence or Adherence?

PFresGO: an attention mechanism-based deep-learning approach for protein annotation by integrating gene ontology inter-relationships

Rigorous non-disjoint discretization for naive Bayes

Ultra-fast meta-parameter optimization for time series similarity measures with application to nearest neighbour classification

An accurate and fully-automated ensemble model for weekly time series forecasting

Amercing: An intuitive and effective constraint for dynamic time warping

Elastic similarity and distance measures for multivariate time series

SETAR-Tree: a novel and accurate tree algorithm for global time series forecasting

EHR-QC: A streamlined pipeline for automated electronic health records standardisation and preprocessing to predict clinical outcomes

Robust Variational Learning for Multiclass Kernel Models with Stein Refinement

Collaborators (16)

J Simon Bell

Christoph Bergmeir

Dinh Phung

Jiangning (John) Song

Seiya Imoto

Germain Forestier

Shanshan Li

Yixin Liu

Robin B. Gasser

Anton Peleg

Daniele Zambon

Sonika Tyagi

Jenni Ilomaki

Trung Le

Lukasz Kurgan

Shirui Pan

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