Patricia J Riddle

Patricia J Riddle

University of Auckland

H-index: 20

Oceania-New Zealand

About Patricia J Riddle

Patricia J Riddle, With an exceptional h-index of 20 and a recent h-index of 14 (since 2020), a distinguished researcher at University of Auckland, specializes in the field of Artificial Intelligence.

His recent articles reflect a diverse array of research interests and contributions to the field:

Combatting over-specialization bias in growing chemical databases

Attacking the Loop: Adversarial Attacks on Graph-based Loop Closure Detection

Combining diverse meta-features to accurately identify recurring concept drift in data streams

Do Smaller Language Models Answer Contextualised Questions Through Memorisation Or Generalisation?

FALL: A Modular Adaptive Learning Platform for Streaming Data

Answering unseen questions with smaller language\\models using rationale generation and dense retrieval

Teaching smaller language models to generalise to unseen compositional questions

DAMR: Dynamic Adjacency Matrix Representation Learning for Multivariate Time Series Imputation

Patricia J Riddle Information

University

Position

___

Citations(all)

1623

Citations(since 2020)

673

Cited By

1179

hIndex(all)

20

hIndex(since 2020)

14

i10Index(all)

42

i10Index(since 2020)

23

Email

University Profile Page

University of Auckland

Google Scholar

View Google Scholar Profile

Patricia J Riddle Skills & Research Interests

Artificial Intelligence

Top articles of Patricia J Riddle

Title

Journal

Author(s)

Publication Date

Combatting over-specialization bias in growing chemical databases

Journal of Cheminformatics

Katharina Dost

Zac Pullar-Strecker

Liam Brydon

Kunyang Zhang

Jasmin Hafner

...

2023/5/19

Attacking the Loop: Adversarial Attacks on Graph-based Loop Closure Detection

arXiv preprint arXiv:2312.06991

Jonathan JY Kim

Martin Urschler

Patricia J Riddle

Jorg S Wicker

2023/12/12

Combining diverse meta-features to accurately identify recurring concept drift in data streams

ACM Transactions on Knowledge Discovery from Data

Ben Halstead

Yun Sing Koh

Patricia Riddle

Mykola Pechenizkiy

Albert Bifet

2023/5/12

Do Smaller Language Models Answer Contextualised Questions Through Memorisation Or Generalisation?

arXiv preprint arXiv:2311.12337

Tim Hartill

Joshua Bensemann

Michael Witbrock

Patricia J Riddle

2023/11/21

FALL: A Modular Adaptive Learning Platform for Streaming Data

Ben Halstead

Yun Sing Koh

Patricia Riddle

Mykola Pechenizkiy

Albert Bifet

2023/4/3

Answering unseen questions with smaller language\\models using rationale generation and dense retrieval

arXiv preprint arXiv:2308.04711

Tim Hartill

Diana Benavides-Prado

Michael Witbrock

Patricia J Riddle

2023/8/9

Teaching smaller language models to generalise to unseen compositional questions

arXiv preprint arXiv:2308.00946

Tim Hartill

Neset TAN

Michael Witbrock

Patricia J Riddle

2023/8/2

DAMR: Dynamic Adjacency Matrix Representation Learning for Multivariate Time Series Imputation

Proceedings of the ACM on Management of Data

Xiaobin Ren

Kaiqi Zhao

Patricia J Riddle

Katerina Taskova

Qingyi Pan

...

2023/6/20

A theory for knowledge transfer in continual learning

Diana Benavides-Prado

Patricia Riddle

2022/11/28

Explicit graph reasoning fusing knowledge and contextual information for multi-hop question answering

Zhenyun Deng

Yonghua Zhu

Qianqian Qi

Michael J Witbrock

Patricia Riddle

2022/7

Closing the loop: Graph networks to unify semantic objects and visual features for multi-object scenes

Jonathan JY Kim

Martin Urschler

Patricia J Riddle

Jorg S Wicker

2022/10/23

Interpretable AMR-based question decomposition for multi-hop question answering

arXiv preprint arXiv:2206.08486

Zhenyun Deng

Yonghua Zhu

Yang Chen

Michael Witbrock

Patricia Riddle

2022/6/16

Human Versus Machine: How Do We Know Who Is Winning? ROC Analysis for Comparing Human and Machine Performance under Varying Cost-Prevalence Assumptions

Michael Merry

Patricia Jean Riddle

Jim Warren

2021/12/31

A probabilistic framework for adapting to changing and recurring concepts in data streams

Ben Halstead

Yun Sing Koh

Patricia Riddle

Mykola Pechenizkiy

Albert Bifet

2022/10/13

Divide and imitate: Multi-cluster identification and mitigation of selection bias

Katharina Dost

Hamish Duncanson

Ioannis Ziogas

Patricia Riddle

Jörg Wicker

2022/5/11

Prompt-based conservation learning for multi-hop question answering

arXiv preprint arXiv:2209.06923

Zhenyun Deng

Yonghua Zhu

Yang Chen

Qianqian Qi

Michael Witbrock

...

2022/9/14

Multivariate sequential analytics for cardiovascular disease event prediction

Methods of Information in Medicine

William Hsu

Jim Warren

Patricia Riddle

2022/12/23

Eye gaze and self-attention: How humans and transformers attend words in sentences

Joshua Bensemann

Alex Peng

Diana Prado

Yang Chen

Neset Tan

...

2022/5

Medication adherence prediction through temporal modelling in cardiovascular disease management

BMC Medical Informatics and Decision Making

William Hsu

James R Warren

Patricia J Riddle

2022/11/29

Geographic ensembles of observations using randomised ensembles of autoregression chains: ensemble methods for spatio-temporal time series forecasting of influenza-like illness

Nooriyah Poonawala-Lohani

Patricia Riddle

Mehnaz Adnan

Jörg Wicker

2022/8/7

See List of Professors in Patricia J Riddle University(University of Auckland)