Building and Indexing a Distributed Multimedia Presentation Archive Using SMIL. - Jane Hunter 001; Suzanne Little (ECDL, 2001)

Dynamic Generation of Intelligent Multimedia Presentations through Semantic Inferencing. - Suzanne Little; Joost Geurts; Jane Hunter 001 (ECDL, 2002)

Next Generation Search Interfaces - Interactive Data Exploration and Hypothesis Formulation. - Jane Hunter 001; Katya Falkovych; Suzanne Little (ECDL, 2004)

Cuypers Meets Users: Implementing a User Model Architecture for Multimedia Presentation Generation. - Suzanne Little; Lynda Hardman (MMM, 2004)

Rules-By-Example - A Novel Approach to Semantic Indexing and Querying of Images. - Suzanne Little; Jane Hunter 001 (ISWC, 2004)

Realizing the Hydrogen Economy through Semantic Web Technologies. - Jane Hunter 001; John Drennan; Suzanne Little (IEEE Intell. Syst., 2004)

Evaluating the application of semantic inferencing rules to image annotation. - Laura Hollink; Suzanne Little; Jane Hunter 001 (K-CAP, 2005)

A framework to enable the semantic inferencing and querying of multimedia content. - Jane Hunter 001; Suzanne Little (Int. J. Web Eng. Technol., 2005)

MultiMedia Metadata Management: a Proposal for an Infrastructure. - Patrizia Asirelli; Suzanne Little; Massimo Martinelli; Ovidio Salvetti (SWAP, 2006)

Semantic Framework for the Management, Analysis and Assimilation of Mixed-media Scientific Data - Suzanne Little (2006)

Integration of Structural and Semantic Models for Multimedia Metadata Management. - Suzanne Little; Massimo Martinelli; Ovidio Salvetti; Ugur Güdükbay; Özgür Ulusoy; Gaël de Chalendar; Gregory Grefenstette (CBMI, 2007)

Semi-Automatic Semantic Annotation of Images. - Suzanne Little; Ovidio Salvetti; Petra Perner (ICDM Workshops, 2007)

Semi-automatic Semantic Tagging of 3D Images from Pancreas Cells. - Suzanne Little; Ovidio Salvetti; Petra Perner (MDA, 2007)

Evaluating a Case-Based Classifier for Biomedical Applications. - Suzanne Little; Ovidio Salvetti; Petra Perner (CBMS, 2008)

Evaluation of Feature Subset Selection, Feature Weighting, and Prototype Selection for Biomedical Applications. - Suzanne Little; Ovidio Salvetti; Petra Perner (ECCBR, 2008)

Semantic Video Annotation using Background Knowledge and Similarity-based Video Retrieval. - Ainhoa Llorente; Srdan Zagorac; Suzanne Little; Rui Hu; Stefan M. Rüger; Anuj Kumar; Suhail Shaik; Xiang Ma (TRECVID, 2008)

MMIS at ImageCLEF 2009: Non-parametric Density Estimation Algorithms. - Ainhoa Llorente; Suzanne Little; Stefan M. Rüger (CLEF (Working Notes), 2009)

Conservation of effort in feature selection for image annotation. - Suzanne Little; Stefan M. Rüger (MMSP, 2009)

Automated Content Based Video Retrieval. - Srdan Zagorac; Ainhoa Llorente; Suzanne Little; Haiming Liu 002; Stefan M. Rüger (TRECVID, 2009)

Can Prototype-Based Classification be a good Method for Biomedical Applications?. - Suzanne Little; Sara Colatino; Ovidio Salvetti; Petra Perner (Trans. Mach. Learn. Data Min., 2009)

An Overview of Evaluation Campaigns in Multimedia Retrieval. - Suzanne Little; Ainhoa Llorente; Stefan M. Rüger (ImageCLEF, 2010)

Recent Developments in Information Retrieval. - Cathal Gurrin; Yulan He 001; Gabriella Kazai; Udo Kruschwitz; Suzanne Little; Thomas Roelleke; Stefan M. Rüger; Keith van Rijsbergen (ECIR, 2010)

NewsRoom: an information-seeking support system for news videos. - Abdigani Diriye; Srdan Zagorac; Suzanne Little; Stefan M. Rüger (Multimedia Information Retrieval, 2010)

Evaluation of Feature Subset Selection, Feature Weighting, and Prototype Selection for Biomedical Applications. - Suzanne Little; Sara Colantonio; Ovidio Salvetti; Petra Perner (J. Softw. Eng. Appl., 2010)

ECIR 2010: 32nd european conference on information retrieval research. - Cathal Gurrin; Yulan He 001; Udo Kruschwitz; Suzanne Little; Stefan M. Rüger (SIGIR Forum, 2010)

Multimedia: behaviour, interfaces and interaction. - Haiming Liu 002; Suzanne Little; Stefan M. Rüger (Interactive Information Seeking, Behaviour and Retrieval, 2011)

Multimedia: information representation and access. - Suzanne Little; Evan Brown; Stefan M. Rüger (Interactive Information Seeking, Behaviour and Retrieval, 2011)

Formal Metadata and Shared Experiences for Discovering Tools to Adapt Open Educational Resources. - Suzanne Little; Alexander Mikroyannidis; Alexandra Okada; Peter Scott (SITIS, 2011)

SAVASA Project @ TRECVID 2012: Interactive Surveillance Event Detection. - Suzanne Little; Iveel Jargalsaikhan; Cem Direkoglu; Noel E. O'Connor; Alan F. Smeaton; Kathy M. Clawson; Hao Li; Marcos Nieto; Aitor Rodriguez; Pedro J. Sánchez; Karina Villarroel Paniza; Ana Martínez Llorens; et al. (TRECVID, 2012)

Identifying and addressing challenges for search and analysis of disparate surveillance video archives. - Suzanne Little; Kathy M. Clawson; Anna Mereu; Aitor Rodriguez (ICDP, 2013)

Action recognition based on sparse motion trajectories. - Iveel Jargalsaikhan; Suzanne Little; Cem Direkoglu; Noel E. O'Connor (ICIP, 2013)

The Impact of Video Transcoding Parameters on Event Detection for Surveillance Systems. - Emmanouil Kafetzakis; Christos Xilouris; Michail-Alexandros Kourtis; Marcos Nieto; Iveel Jargalsaikhan; Suzanne Little (ISM, 2013)

Interactive surveillance event detection at TRECVid2012. - Suzanne Little; Iveel Jargalsaikhan; Kathy M. Clawson; Marcos Nieto; Hao Li; Cem Direkoglu; Noel E. O'Connor; Alan F. Smeaton; Jun Liu 001; Bryan W. Scotney; Hui Wang 001; Seán Gaines; et al. (ICMR, 2013)

An information retrieval approach to identifying infrequent events in surveillance video. - Suzanne Little; Iveel Jargalsaikhan; Kathy M. Clawson; Marcos Nieto; Hao Li; Cem Direkoglu; Noel E. O'Connor; Alan F. Smeaton; Bryan W. Scotney; Hui Wang 001; Jun Liu 001 (ICMR, 2013)

SAVASA Project @ TRECVid 2013: Semantic Indexing and Interactive Surveillance Event Detection. - Suzanne Little; Iveel Jargalsaikhan; Rami Albatal; Cem Direkoglu; Noel E. O'Connor; Alan F. Smeaton; Kathy M. Clawson; Min Jing; Bryan W. Scotney; Hui Wang 001; Jun Liu 001; Marcos Nieto; et al. (TRECVID, 2013)

Empirical Exploration of Extreme SVM-RBF Parameter Values for Visual Object Classification. - Rami Albatal; Suzanne Little (MMM (2), 2014)

An Evaluation of Local Action Descriptors for Human Action Classification in the Presence of Occlusion. - Iveel Jargalsaikhan; Cem Direkoglu; Suzanne Little; Noel E. O'Connor (MMM (2), 2014)

Action recognition in video using a spatial-temporal graph-based feature representation. - Iveel Jargalsaikhan; Suzanne Little; Rémi Trichet; Noel E. O'Connor (AVSS, 2015)

Holistic features for real-time crowd behaviour anomaly detection. - Mark Marsden; Kevin McGuinness; Suzanne Little; Noel E. O'Connor (ICIP, 2016)

Smart Stadium for Smarter Living: Enriching the Fan Experience. - Sethuraman Panchanathan; Shayok Chakraborty; Troy McDaniel; Matt Bunch; Noel E. O'Connor; Suzanne Little; Kevin McGuinness; Mark Marsden (ISM, 2016)

Guest Editorial. - Hui Wang 001; Marcos Nieto; Zhen Lei; Suzanne Lyttle (IET Comput. Vis., 2016)

Action localization in video using a graph-based feature representation. - Iveel Jargalsaikhan; Suzanne Little; Noel E. O'Connor (AVSS, 2017)

ResnetCrowd: A residual deep learning architecture for crowd counting, violent behaviour detection and crowd density level classification. - Mark Marsden; Kevin McGuinness; Suzanne Little; Noel E. O'Connor (AVSS, 2017)

Irish Sign Language Recognition Using Principal Component Analysis and Convolutional Neural Networks. - Marlon Oliveira; Houssem Chatbri; Suzanne Little; Ylva Ferstl; Noel E. O'Connor; Alistair Sutherland (DICTA, 2017)

Educational video classification by using a transcript to image transform and supervised learning. - Houssem Chatbri; Marlon Oliveira; Kevin McGuinness; Suzanne Little; Keisuke Kameyama; Paul Kwan; Alistair Sutherland; Noel E. O'Connor (IPTA, 2017)

A comparison between end-to-end approaches and feature extraction based approaches for Sign Language recognition. - Marlon Oliveira; Houssem Chatbri; Suzanne Little; Noel E. O'Connor; Alistair Sutherland (IVCNZ, 2017)

Automatic MOOC Video Classification using Transcript Features and Convolutional Neural Networks. - Houssem Chatbri; Kevin McGuinness; Suzanne Little; Jiang Zhou; Keisuke Kameyama; Paul Kwan; Noel E. O'Connor (MultiEdTech@MM, 2017)

An Annotation System for Egocentric Image Media. - Aaron Duane; Jiang Zhou; Suzanne Little; Cathal Gurrin; Alan F. Smeaton (MMM (2), 2017)

Understanding packet loss for sound monitoring in a smart stadium IoT testbed. - Suzanne Little; Dian Zhang; Camille Ballas; Noel E. O'Connor; David Prendergast 001; Keith Nolan; Brian Quinn; Niall Moran; Mike Myers; Clare Dillon; Tomás Meehan (FAILSAFE@SenSys, 2017)

Fully Convolutional Crowd Counting on Highly Congested Scenes. - Mark Marsden; Kevin McGuinness; Suzanne Little; Noel E. O'Connor (VISIGRAPP (5: VISAPP), 2017)

Enriching the Fan Experience in a Smart Stadium Using Internet of Things Technologies. - Sethuraman Panchanathan; Shayok Chakraborty; Troy McDaniel; Ramin Tadayon; Bijan Fakhri; Noel E. O'Connor; Mark Marsden; Suzanne Little; Kevin McGuinness; David S. Monaghan (Int. J. Semantic Comput., 2017)

People, Penguins and Petri Dishes: Adapting Object Counting Models to New Visual Domains and Object Types Without Forgetting. - Mark Marsden; Kevin McGuinness; Suzanne Little; Ciara E. Keogh; Noel E. O'Connor (CVPR, 2018)

A Residual Encoder-Decoder Network for Semantic Segmentation in Autonomous Driving Scenarios. - Y. G. Naresh; Suzanne Little; Noel E. O'Connor (EUSIPCO, 2018)

A Deep Residual Architecture for Skin Lesion Segmentation. - Venkatesh G M; Y. G. Naresh; Suzanne Little; Noel E. O'Connor (OR 2.0/CARE/CLIP/ISIC@MICCAI, 2018)

Performance of video processing at the edge for crowd-monitoring applications. - Camille Ballas; Mark Marsden; Dian Zhang; Noel E. O'Connor; Suzanne Little (WF-IoT, 2018)

A novel shape descriptor based on salient keypoints detection for binary image matching and retrieval. - Houssem Chatbri; Keisuke Kameyama; Paul Kwan; Suzanne Little; Noel E. O'Connor (Multim. Tools Appl., 2018)

Semi-Automatic Multi-Object Video Annotation Based on Tracking, Prediction and Semantic Segmentation. - Jaime B. Fernandez; Venkatesh G M; Dian Zhang; Suzanne Little; Noel E. O'Connor (CBMI, 2019)

Saliency Guided 2D-Object Annotation for Instrumented Vehicles. - Venkatesh G M; Feiyan Hu; Noel E. O'Connor; Alan F. Smeaton; Zhen Yang 008; Suzanne Little (CBMI, 2019)

A Single-Shot Approach Using an LSTM for Moving Object Path Prediction. - Jaime B. Fernandez; Suzanne Little; Noel E. O'Connor (IPTA, 2019)

MediaEval 2019: Concealed FGSM Perturbations for Privacy Preservation. - Panagiotis Linardos; Suzanne Little; Kevin McGuinness (MediaEval, 2019)

Fashion Police: Towards Semantic Indexing of Clothing Information in Surveillance Data. - Owen Corrigan; Suzanne Little (MMM (1), 2019)

A Low-Cost Smart Sensor Network for Catchment Monitoring. - Dian Zhang; Brendan Heery; Maria O'Neil; Suzanne Little; Noel E. O'Connor; Fiona Regan (Sensors, 2019)

Utilising Visual Attention Cues for Vehicle Detection and Tracking. - Feiyan Hu; Venkatesh G M; Noel E. O'Connor; Alan F. Smeaton; Suzanne Little (ICPR, 2020)

Multiple Path Prediction for Traffic Scenes using LSTMs and Mixture Density Models. - Jaime B. Fernandez; Suzanne Little; Noel E. O'Connor (VEHITS, 2020)

ECIR 2020 workshops: assessing the impact of going online. - Sérgio Nunes 001; Suzanne Little; Sumit Bhatia; Ludovico Boratto; Guillaume Cabanac; Ricardo Campos 001; Francisco M. Couto; Stefano Faralli 001; Ingo Frommholz; Adam Jatowt; Alípio Jorge; Mirko Marras; et al. (SIGIR Forum, 2020)

Dataset Diversity: Measuring and Mitigating Geographical Bias in Image Search and Retrieval. - Abhishek Mandal; Susan Leavy; Suzanne Little (Trustworthy AI @ ACM Multimedia, 2021)

UrbanMM'21: 1st International Workshop on Multimedia Computing for Urban Data. - Stevan Rudinac; Alessandro Bozzon; Tat-Seng Chua; Suzanne Little; Daniel Gatica-Perez; Kiyoharu Aizawa (ACM Multimedia, 2021)

UrbanAccess: Query Driven Urban Analytics Platform for Detecting Complex Accessibility Event Patterns using Tactile Surfaces. - Dhaval Salwala; Piyush Yadav; Venkatesh G. Munirathnam; Suzanne Little; Noel E. O'Connor; Edward Curry (UrbanMM @ ACM Multimedia, 2021)

Urban Footpath Image Dataset to Assess Pedestrian Mobility. - Venkatesh G M; Bianca Pereira; Suzanne Little (UrbanMM @ ACM Multimedia, 2021)

TrollsWithOpinion: A Dataset for Predicting Domain-specific Opinion Manipulation in Troll Memes. - Shardul Suryawanshi; Bharathi Raja Chakravarthi; Mihael Arcan; Suzanne Little; Paul Buitelaar (CoRR, 2021)

Extracting knowledge from Deep Neural Networks through graph analysis. - Vitor A. C. Horta; Ilaria Tiddi; Suzanne Little; Alessandra Mileo (Future Gener. Comput. Syst., 2021)

Incorporating Spatio-Temporal Information in Frustum-ConvNet for Improved 3D Object Detection in Instrumented Vehicles. - Venkatesh G. Munirathnam; Noel E. O'Connor; Suzanne Little (EUVIP, 2022)

The ASU-DCU International Research and Workforce Development Program on Sensors and Machine Learning. - Andreas Spanias; Vivek Sivaraman Narayanaswamy; Erica Forzani; Gregory B. Raupp; Nadia N. Kellam; Megan O'Donnell; Wendy Barnard; Jean S. Larson; Noel E. O'Connor; Nicholas Dunne; Stephen Daniels; Suzanne Little (IISA, 2022)

Random Data Augmentation based Enhancement: A Generalized Enhancement Approach for Medical Datasets. - Sidra Aleem; Teerath Kumar; Suzanne Little; Malika Bendechache; Rob Brennan; Kevin McGuinness (CoRR, 2022)

Gender Bias in Multimodal Models: A Transnational Feminist Approach Considering Geographical Region and Culture. - Abhishek Mandal; Suzanne Little; Susan Leavy (AEQUITAS@ECAI, 2023)

Measuring Bias in Multimodal Models: Multimodal Composite Association Score. - Abhishek Mandal; Susan Leavy; Suzanne Little (BIAS, 2023)

Biased Attention: Do Vision Transformers Amplify Gender Bias More than Convolutional Neural Networks? - Abhishek Mandal; Susan Leavy; Suzanne Little (BMVC, 2023)

More than Meets the (Artificial) Eye: Exploring Historical Photographs from Ireland with Computer Vision Methods. - Giulia Osti; Amber L. Cushing; Suzanne Little (DH, 2023)

Multimodal Bias: Assessing Gender Bias in Computer Vision Models with NLP Techniques. - Abhishek Mandal; Suzanne Little; Susan Leavy (ICMI, 2023)

Multimodal Offensive Meme Classification with Natural Language Inference. - Shardul Suryawanshi; Mihael Arcan; Suzanne Little; Paul Buitelaar (LDK, 2023)

Constructing a Meta-Learner for Unsupervised Anomaly Detection. - Malgorzata Gutowska; Suzanne Little; Andrew McCarren (IEEE Access, 2023)

Multimodal Composite Association Score: Measuring Gender Bias in Generative Multimodal Models. - Abhishek Mandal; Susan Leavy; Suzanne Little (CoRR, 2023)

An Ensemble Deep Learning Approach for COVID-19 Severity Prediction Using Chest CT Scans. - Sidra Aleem; Mayug Maniparambil; Suzanne Little; Noel E. O'Connor; Kevin McGuinness (CoRR, 2023)

Debiasing Computer Vision Models using Data Augmentation based Adversarial Techniques. - Teerath Kumar; Abhishek Mandal; Susan Leavy; Suzanne Little; Alessandra Mileo; Malika Bendechache (BEWARE@AI*IA, 2024)

Test-Time Adaptation with SaLIP: A Cascade of SAM and CLIP for Zero-shot Medical Image Segmentation. - Sidra Aleem; Fangyijie Wang; Mayug Maniparambil; Eric Arazo; Julia Dietlmeier; Kathleen M. Curran; Noel E. O'Connor; Suzanne Little (CVPR Workshops, 2024)

Evaluating Image-Based Face and Eye Tracking with Event Cameras. - Khadija Iddrisu; Waseem Shariff; Noel E. O'Connor; Joseph Lemley; Suzanne Little (ECCV Workshops (24), 2024)

Generated Bias: Auditing Internal Bias Dynamics of Text-to-Image Generative Models. - Abhishek Mandal; Susan Leavy; Suzanne Little (ECCV Workshops (22), 2024)

ConvLoRA and AdaBN Based Domain Adaptation via Self-Training. - Sidra Aleem; Julia Dietlmeier; Eric Arazo; Suzanne Little (ISBI, 2024)

Using Attention Mechanisms in Compact CNN Models for Improved Micromobility Safety Through Lane Recognition. - Chinmaya Kaundanya; Paulo Cesar; Barry Cronin; Andrew Fleury; Mingming Liu; Suzanne Little (VEHITS, 2024)

Event Camera-Based Eye Motion Analysis: A Survey. - Khadija Iddrisu; Waseem Shariff; Peter Corcoran 001; Noel E. O'Connor; Joe Lemley; Suzanne Little (IEEE Access, 2024)

Test-Time Adaptation with SaLIP: A Cascade of SAM and CLIP for Zero shot Medical Image Segmentation. - Sidra Aleem; Fangyijie Wang; Mayug Maniparambil; Eric Arazo; Julia Dietlmeier; Guénolé C. M. Silvestre; Kathleen M. Curran; Noel E. O'Connor; Suzanne Little (CoRR, 2024)

A Framework for Pupil Tracking with Event Cameras. - Khadija Iddrisu; Waseem Shariff; Suzanne Little (CoRR, 2024)

Enhancing Small Object Detection in Resource-Constrained ARAS Using Image Cropping and Slicing Techniques. - Chinmaya Kaundanya; Paulo Cesar; Barry Cronin; Andrew Fleury; Mingming Liu; Suzanne Little (VISIGRAPP (3): VISAPP, 2025)

Gender Bias in Natural Language Processing and Computer Vision: A Comparative Survey. - Marion Bartl; Abhishek Mandal; Susan Leavy; Suzanne Little (ACM Comput. Surv., 2025)