Suzanne Little

Suzanne Little

Dublin City University

H-index: 19

Europe-Ireland

About Suzanne Little

Suzanne Little, With an exceptional h-index of 19 and a recent h-index of 15 (since 2020), a distinguished researcher at Dublin City University, specializes in the field of Multimedia Information Retrieval.

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

ConvLoRA and AdaBN based Domain Adaptation via Self-Training

Phase Transformation Temperatures and Pseudoelasticity Behavior of NiTi-X Ternary Shape Memory Alloys: A Molecular Dynamics Simulation Study

Test-Time Adaptation with SaLIP: A Cascade of SAM and CLIP for Zero shot Medical Image Segmentation

Comprehensive study through imaging techniques of the degradation of a resorbable calcium sulphate-based composite bone cement

Biased Attention: Do Vision Transformers Amplify Gender Bias More than Convolutional Neural Networks?

Constructing a meta-learner for unsupervised anomaly detection

Moving Object Path Prediction in Traffic Scenes Using Contextual Information

Multimodal bias: Assessing gender bias in computer vision models with nlp techniques

Suzanne Little Information

University

Position

School of Computing

Citations(all)

1737

Citations(since 2020)

908

Cited By

1233

hIndex(all)

19

hIndex(since 2020)

15

i10Index(all)

41

i10Index(since 2020)

20

Email

University Profile Page

Dublin City University

Google Scholar

View Google Scholar Profile

Suzanne Little Skills & Research Interests

Multimedia Information Retrieval

Top articles of Suzanne Little

Title

Journal

Author(s)

Publication Date

ConvLoRA and AdaBN based Domain Adaptation via Self-Training

arXiv preprint arXiv:2402.04964

Sidra Aleem

Julia Dietlmeier

Eric Arazo

Suzanne Little

2024/2/7

Phase Transformation Temperatures and Pseudoelasticity Behavior of NiTi-X Ternary Shape Memory Alloys: A Molecular Dynamics Simulation Study

Mehran Bahramyan

Suzanne Little

Dermot Brabazon

2024/5/6

Test-Time Adaptation with SaLIP: A Cascade of SAM and CLIP for Zero shot Medical Image Segmentation

Computer Vision And Pattern Recognition Conference - Workshops 2024

Sidra Aleem

Fangyijie Wang

Mayug Maniparambil

Eric Arazo

Julia Dietlmeier

...

2024/4/9

Comprehensive study through imaging techniques of the degradation of a resorbable calcium sulphate-based composite bone cement

Open Ceramics

Ilaria Corvaglia

Ghayadah Alkharusi

Federica Banche-Niclot

Antonio Manca

Tanya J Levingstone

...

2024/3/1

Biased Attention: Do Vision Transformers Amplify Gender Bias More than Convolutional Neural Networks?

arXiv preprint arXiv:2309.08760

Abhishek Mandal

Susan Leavy

Suzanne Little

2023/9/15

Constructing a meta-learner for unsupervised anomaly detection

IEEE Access

Małgorzata Gutowska

Suzanne Little

Andrew McCarren

2023/5/8

Moving Object Path Prediction in Traffic Scenes Using Contextual Information

Engineering Proceedings

Jaime B Fernandez

Suzanne Little

Noel E O’Connor

2023/7/5

Multimodal bias: Assessing gender bias in computer vision models with nlp techniques

Abhishek Mandal

Suzanne Little

Susan Leavy

2023/10/9

Advancing micromobility safety by deploying compressed lane recognition CNN model on low-spec microcontroller unit

Chinmaya Kaundanya

Suzanne Little

2023/6/26

Gender bias in multimodal models: A transnational feminist approach considering geographical region and culture

arXiv preprint arXiv:2309.04997

Abhishek Mandal

Suzanne Little

Susan Leavy

2023/9/10

Multimodal composite association score: Measuring gender bias in generative multimodal models

arXiv preprint arXiv:2304.13855

Abhishek Mandal

Susan Leavy

Suzanne Little

2023/4/26

Investigating the Intersections of Ethics and Artificial Intelligence in the Collections as Data Position Papers

Proceedings of the Association for Information Science and Technology

Giulia Osti

Amber Cushing

Suzanne Little

2023/10

AI-based lane recognition for micromobility users using neural network compression techniques and a low-spec microcontroller unit

Chinmaya Kaundanya

Suzanne Little

2023

An ensemble deep learning approach for COVID-19 severity prediction using chest CT scans

Irish Machine Vision and Image Processing Conference 2023

Sidra Aleem

Mayug Maniparambil

Suzanne Little

Noel O'Connor

Kevin McGuinness

2023/5/17

Multimodal Offensive Meme Classification with Natural Language Inference

Shardul Suryawanshi

Mihael Arcan

Suzanne Little

Paul Buitelaar

2023/9

Measuring bias in multimodal models: Multimodal composite association score

Abhishek Mandal

Susan Leavy

Suzanne Little

2023/4/2

The role of machine learning and design of experiments in the advancement of biomaterial and tissue engineering research

Ghayadah Al-Kharusi

Nicholas J Dunne

Suzanne Little

Tanya J Levingstone

2022/10/17

The ASU-DCU International Research and Workforce Development Program on Sensors and Machine Learning

Andreas Spanias

Vivek Narayanaswamy

Erica Forzani

Greg Raupp

Nadia Kellam

...

2022/7/18

Random data augmentation based enhancement: a generalized enhancement approach for medical datasets

arXiv preprint arXiv:2210.00824

Sidra Aleem

Teerath Kumar

Suzanne Little

Malika Bendechache

Rob Brennan

...

2021/12/17

Coastal fisheries resource monitoring through A deep learning-based underwater video analysis

Estuarine, Coastal and Shelf Science

Dian Zhang

Noel E O'Conner

Andre J Simpson

Chunjie Cao

Suzanne Little

...

2022/5/31

See List of Professors in Suzanne Little University(Dublin City University)