Suzanne Little

113 papers A* 2A 3B 12C 10Misc 3Journal 35Unranked 43

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	MLRDv2: A Dataset for Improving Micromobility Safety via Attention-Integrated Compact CNN Models. SN Comput. Sci. Chinmaya Kaundanya, Paulo Cesar, Barry Cronin, Andrew Fleury, Mingming Liu, Suzanne Little
2026	J	`jnl`	SynSacc: A Blender-to-V2E Pipeline for Synthetic Neuromorphic Eye-Movement Data and Sim-to-Real Spiking Model Training. CoRR Khadija Iddrisu, Waseem Shariff, Suzanne Little, Noel E. O'Connor
2025	—	`conf`	Enhancing Small Object Detection in Resource-Constrained ARAS Using Image Cropping and Slicing Techniques. VISIGRAPP (3): VISAPP Chinmaya Kaundanya, Paulo Cesar, Barry Cronin, Andrew Fleury, Mingming Liu, Suzanne Little
2025	J	`jnl`	Gender Bias in Natural Language Processing and Computer Vision: A Comparative Survey. ACM Comput. Surv. Marion Bartl, Abhishek Mandal, Susan Leavy, Suzanne Little
2025	J	`jnl`	Machine Learning in Micromobility: A Systematic Review of Datasets, Techniques, and Applications. CoRR Sen Yan, Chinmaya Kaundanya, Noel E. O'Connor, Suzanne Little, Mingming Liu
2024	J	`jnl`	A Framework for Pupil Tracking with Event Cameras. CoRR Khadija Iddrisu, Waseem Shariff, Suzanne Little
2024	—	`conf`	ConvLoRA and AdaBN Based Domain Adaptation via Self-Training. ISBI Sidra Aleem, Julia Dietlmeier, Eric Arazo, Suzanne Little
2024	J	`jnl`	ConvLoRA and AdaBN based Domain Adaptation via Self-Training. CoRR Sidra Aleem, Julia Dietlmeier, Eric Arazo, Suzanne Little
2024	—	`conf`	Debiasing Computer Vision Models using Data Augmentation based Adversarial Techniques. BEWARE@AI*IA Teerath Kumar, Abhishek Mandal, Susan Leavy, Suzanne Little, Alessandra Mileo, Malika Bendechache
2024	—	`conf`	Evaluating Image-Based Face and Eye Tracking with Event Cameras. ECCV Workshops (24) Khadija Iddrisu, Waseem Shariff, Noel E. O'Connor, Joseph Lemley, Suzanne Little
2024	J	`jnl`	Evaluating Image-Based Face and Eye Tracking with Event Cameras. CoRR Khadija Iddrisu, Waseem Shariff, Noel E. O'Connor, Joseph Lemley, Suzanne Little
2024	J	`jnl`	Event Camera-Based Eye Motion Analysis: A Survey. IEEE Access Khadija Iddrisu, Waseem Shariff, Peter Corcoran, Noel E. O'Connor, Joe Lemley, Suzanne Little
2024	J	`jnl`	Generated Bias: Auditing Internal Bias Dynamics of Text-To-Image Generative Models. CoRR Abhishek Mandal, Susan Leavy, Suzanne Little
2024	—	`conf`	Generated Bias: Auditing Internal Bias Dynamics of Text-to-Image Generative Models. ECCV Workshops (22) Abhishek Mandal, Susan Leavy, Suzanne Little
2024	J	`jnl`	Test-Time Adaptation with SaLIP: A Cascade of SAM and CLIP for Zero shot Medical Image Segmentation. CoRR Sidra Aleem, Fangyijie Wang, Mayug Maniparambil, Eric Arazo, Julia Dietlmeier, Guénolé C. M. Silvestre, Kathleen M. Curran, Noel E. O'Connor, Suzanne Little
2024	—	`conf`	Test-Time Adaptation with SaLIP: A Cascade of SAM and CLIP for Zero-shot Medical Image Segmentation. CVPR Workshops Sidra Aleem, Fangyijie Wang, Mayug Maniparambil, Eric Arazo, Julia Dietlmeier, Kathleen M. Curran, Noel E. O'Connor, Suzanne Little
2024	C	`conf`	Using Attention Mechanisms in Compact CNN Models for Improved Micromobility Safety Through Lane Recognition. VEHITS Chinmaya Kaundanya, Paulo Cesar, Barry Cronin, Andrew Fleury, Mingming Liu, Suzanne Little
2023	J	`jnl`	An Ensemble Deep Learning Approach for COVID-19 Severity Prediction Using Chest CT Scans. CoRR Sidra Aleem, Mayug Maniparambil, Suzanne Little, Noel E. O'Connor, Kevin McGuinness
2023	A	`conf`	Biased Attention: Do Vision Transformers Amplify Gender Bias More than Convolutional Neural Networks? BMVC Abhishek Mandal, Susan Leavy, Suzanne Little
2023	J	`jnl`	Biased Attention: Do Vision Transformers Amplify Gender Bias More than Convolutional Neural Networks? CoRR Abhishek Mandal, Susan Leavy, Suzanne Little
2023	J	`jnl`	Constructing a Meta-Learner for Unsupervised Anomaly Detection. IEEE Access Malgorzata Gutowska, Suzanne Little, Andrew McCarren
2023	J	`jnl`	Constructing a meta-learner for unsupervised anomaly detection. CoRR Malgorzata Gutowska, Suzanne Little, Andrew McCarren
2023	—	`conf`	Gender Bias in Multimodal Models: A Transnational Feminist Approach Considering Geographical Region and Culture. AEQUITAS@ECAI Abhishek Mandal, Suzanne Little, Susan Leavy
2023	J	`jnl`	Gender Bias in Multimodal Models: A Transnational Feminist Approach Considering Geographical Region and Culture. CoRR Abhishek Mandal, Suzanne Little, Susan Leavy
2023	—	`conf`	Measuring Bias in Multimodal Models: Multimodal Composite Association Score. BIAS Abhishek Mandal, Susan Leavy, Suzanne Little
2023	—	`conf`	More than Meets the (Artificial) Eye: Exploring Historical Photographs from Ireland with Computer Vision Methods. DH Giulia Osti, Amber L. Cushing, Suzanne Little
2023	B	`conf`	Multimodal Bias: Assessing Gender Bias in Computer Vision Models with NLP Techniques. ICMI Abhishek Mandal, Suzanne Little, Susan Leavy
2023	J	`jnl`	Multimodal Composite Association Score: Measuring Gender Bias in Generative Multimodal Models. CoRR Abhishek Mandal, Susan Leavy, Suzanne Little
2023	C	`conf`	Multimodal Offensive Meme Classification with Natural Language Inference. LDK Shardul Suryawanshi, Mihael Arcan, Suzanne Little, Paul Buitelaar
2022	—	`conf`	Incorporating Spatio-Temporal Information in Frustum-ConvNet for Improved 3D Object Detection in Instrumented Vehicles. EUVIP Venkatesh G. Munirathnam, Noel E. O'Connor, Suzanne Little
2022	J	`jnl`	Random Data Augmentation based Enhancement: A Generalized Enhancement Approach for Medical Datasets. CoRR Sidra Aleem, Teerath Kumar, Suzanne Little, Malika Bendechache, Rob Brennan, Kevin McGuinness
2022	—	`conf`	The ASU-DCU International Research and Workforce Development Program on Sensors and Machine Learning. IISA 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
2021	—	`conf`	Dataset Diversity: Measuring and Mitigating Geographical Bias in Image Search and Retrieval. Trustworthy AI @ ACM Multimedia Abhishek Mandal, Susan Leavy, Suzanne Little
2021	J	`jnl`	Extracting knowledge from Deep Neural Networks through graph analysis. Future Gener. Comput. Syst. Vitor A. C. Horta, Ilaria Tiddi, Suzanne Little, Alessandra Mileo
2021	J	`jnl`	TrollsWithOpinion: A Dataset for Predicting Domain-specific Opinion Manipulation in Troll Memes. CoRR Shardul Suryawanshi, Bharathi Raja Chakravarthi, Mihael Arcan, Suzanne Little, Paul Buitelaar
2021	—	`conf`	Urban Footpath Image Dataset to Assess Pedestrian Mobility. UrbanMM @ ACM Multimedia Venkatesh G M, Bianca Pereira, Suzanne Little
2021	—	`conf`	UrbanAccess: Query Driven Urban Analytics Platform for Detecting Complex Accessibility Event Patterns using Tactile Surfaces. UrbanMM @ ACM Multimedia Dhaval Salwala, Piyush Yadav, Venkatesh G. Munirathnam, Suzanne Little, Noel E. O'Connor, Edward Curry
2021	A*	`conf`	UrbanMM'21: 1st International Workshop on Multimedia Computing for Urban Data. ACM Multimedia Stevan Rudinac, Alessandro Bozzon, Tat-Seng Chua, Suzanne Little, Daniel Gatica-Perez, Kiyoharu Aizawa
2021	—	`ed.`	UrbanMM'21: Proceedings of the 1st International Workshop on Multimedia Computing for Urban Data, Virtual Event, China, 20 October 2021 UrbanMM @ ACM Multimedia Stevan Rudinac, Alessandro Bozzon, Tat-Seng Chua, Suzanne Little, Daniel Gatica-Perez, Kiyoharu Aizawa
2020	J	`jnl`	ECIR 2020 Workshops: Assessing the Impact of Going Online. CoRR Sérgio Nunes, Suzanne Little, Sumit Bhatia, Ludovico Boratto, Guillaume Cabanac, Ricardo Campos, Francisco M. Couto, Stefano Faralli, Ingo Frommholz, Adam Jatowt, Alípio Jorge, Mirko Marras, Philipp Mayr, Giovanni Stilo
2020	J	`jnl`	ECIR 2020 workshops: assessing the impact of going online. SIGIR Forum Sérgio Nunes, Suzanne Little, Sumit Bhatia, Ludovico Boratto, Guillaume Cabanac, Ricardo Campos, Francisco M. Couto, Stefano Faralli, Ingo Frommholz, Adam Jatowt, Alípio Jorge, Mirko Marras, Philipp Mayr, Giovanni Stilo
2020	C	`conf`	Multiple Path Prediction for Traffic Scenes using LSTMs and Mixture Density Models. VEHITS Jaime B. Fernandez, Suzanne Little, Noel E. O'Connor
2020	B	`conf`	Utilising Visual Attention Cues for Vehicle Detection and Tracking. ICPR Feiyan Hu, Venkatesh G M, Noel E. O'Connor, Alan F. Smeaton, Suzanne Little
2020	J	`jnl`	Utilising Visual Attention Cues for Vehicle Detection and Tracking. CoRR Feiyan Hu, Venkatesh G M, Noel E. O'Connor, Alan F. Smeaton, Suzanne Little
2019	C	`ed.`	2019 International Conference on Content-Based Multimedia Indexing, CBMI 2019, Dublin, Ireland, September 4-6, 2019 CBMI Cathal Gurrin, Björn Þór Jónsson, Renaud Péteri, Stevan Rudinac, Stéphane Marchand-Maillet, Georges Quénot, Kevin McGuinness, Gylfi Þór Guðmundsson, Suzanne Little, Marie Katsurai, Graham Healy
2019	J	`jnl`	A Low-Cost Smart Sensor Network for Catchment Monitoring. Sensors Dian Zhang, Brendan Heery, Maria O'Neil, Suzanne Little, Noel E. O'Connor, Fiona Regan
2019	—	`conf`	A Single-Shot Approach Using an LSTM for Moving Object Path Prediction. IPTA Jaime B. Fernandez, Suzanne Little, Noel E. O'Connor
2019	—	`conf`	Fashion Police: Towards Semantic Indexing of Clothing Information in Surveillance Data. MMM (1) Owen Corrigan, Suzanne Little
2019	—	`conf`	MediaEval 2019: Concealed FGSM Perturbations for Privacy Preservation. MediaEval Panagiotis Linardos, Suzanne Little, Kevin McGuinness
2019	J	`jnl`	MediaEval 2019: Concealed FGSM Perturbations for Privacy Preservation. CoRR Panagiotis Linardos, Suzanne Little, Kevin McGuinness
2019	C	`conf`	Saliency Guided 2D-Object Annotation for Instrumented Vehicles. CBMI Venkatesh G M, Feiyan Hu, Noel E. O'Connor, Alan F. Smeaton, Zhen Yang, Suzanne Little
2019	C	`conf`	Semi-Automatic Multi-Object Video Annotation Based on Tracking, Prediction and Semantic Segmentation. CBMI Jaime B. Fernandez, Venkatesh G M, Dian Zhang, Suzanne Little, Noel E. O'Connor
2018	—	`conf`	A Deep Residual Architecture for Skin Lesion Segmentation. OR 2.0/CARE/CLIP/ISIC@MICCAI Venkatesh G M, Y. G. Naresh, Suzanne Little, Noel E. O'Connor
2018	—	`conf`	A Residual Encoder-Decoder Network for Semantic Segmentation in Autonomous Driving Scenarios. EUSIPCO Y. G. Naresh, Suzanne Little, Noel E. O'Connor
2018	J	`jnl`	A novel shape descriptor based on salient keypoints detection for binary image matching and retrieval. Multim. Tools Appl. Houssem Chatbri, Keisuke Kameyama, Paul Kwan, Suzanne Little, Noel E. O'Connor
2018	A*	`conf`	People, Penguins and Petri Dishes: Adapting Object Counting Models to New Visual Domains and Object Types Without Forgetting. CVPR Mark Marsden, Kevin McGuinness, Suzanne Little, Ciara E. Keogh, Noel E. O'Connor
2018	—	`conf`	Performance of video processing at the edge for crowd-monitoring applications. WF-IoT Camille Ballas, Mark Marsden, Dian Zhang, Noel E. O'Connor, Suzanne Little
2017	Misc	`conf`	A comparison between end-to-end approaches and feature extraction based approaches for Sign Language recognition. IVCNZ Marlon Oliveira, Houssem Chatbri, Suzanne Little, Noel E. O'Connor, Alistair Sutherland
2017	B	`conf`	Action localization in video using a graph-based feature representation. AVSS Iveel Jargalsaikhan, Suzanne Little, Noel E. O'Connor
2017	—	`conf`	An Annotation System for Egocentric Image Media. MMM (2) Aaron Duane, Jiang Zhou, Suzanne Little, Cathal Gurrin, Alan F. Smeaton
2017	—	`conf`	Automatic MOOC Video Classification using Transcript Features and Convolutional Neural Networks. MultiEdTech@MM Houssem Chatbri, Kevin McGuinness, Suzanne Little, Jiang Zhou, Keisuke Kameyama, Paul Kwan, Noel E. O'Connor
2017	—	`conf`	Educational video classification by using a transcript to image transform and supervised learning. IPTA Houssem Chatbri, Marlon Oliveira, Kevin McGuinness, Suzanne Little, Keisuke Kameyama, Paul Kwan, Alistair Sutherland, Noel E. O'Connor
2017	J	`jnl`	Enriching the Fan Experience in a Smart Stadium Using Internet of Things Technologies. Int. J. Semantic Comput. Sethuraman Panchanathan, Shayok Chakraborty, Troy McDaniel, Ramin Tadayon, Bijan Fakhri, Noel E. O'Connor, Mark Marsden, Suzanne Little, Kevin McGuinness, David S. Monaghan
2017	—	`conf`	Fully Convolutional Crowd Counting on Highly Congested Scenes. VISIGRAPP (5: VISAPP) Mark Marsden, Kevin McGuinness, Suzanne Little, Noel E. O'Connor
2017	Misc	`conf`	Irish Sign Language Recognition Using Principal Component Analysis and Convolutional Neural Networks. DICTA Marlon Oliveira, Houssem Chatbri, Suzanne Little, Ylva Ferstl, Noel E. O'Connor, Alistair Sutherland
2017	J	`jnl`	People, Penguins and Petri Dishes: Adapting Object Counting Models To New Visual Domains And Object Types Without Forgetting. CoRR Mark Marsden, Kevin McGuinness, Suzanne Little, Ciara E. Keogh, Noel E. O'Connor
2017	J	`jnl`	ResnetCrowd: A Residual Deep Learning Architecture for Crowd Counting, Violent Behaviour Detection and Crowd Density Level Classification. CoRR Mark Marsden, Kevin McGuinness, Suzanne Little, Noel E. O'Connor
2017	B	`conf`	ResnetCrowd: A residual deep learning architecture for crowd counting, violent behaviour detection and crowd density level classification. AVSS Mark Marsden, Kevin McGuinness, Suzanne Little, Noel E. O'Connor
2017	—	`conf`	Understanding packet loss for sound monitoring in a smart stadium IoT testbed. FAILSAFE@SenSys Suzanne Little, Dian Zhang, Camille Ballas, Noel E. O'Connor, David Prendergast, Keith Nolan, Brian Quinn, Niall Moran, Mike Myers, Clare Dillon, Tomás Meehan
2016	J	`jnl`	Fully Convolutional Crowd Counting On Highly Congested Scenes. CoRR Mark Marsden, Kevin McGuinness, Suzanne Little, Noel E. O'Connor
2016	J	`jnl`	Holistic Features For Real-Time Crowd Behaviour Anomaly Detection. CoRR Mark Marsden, Kevin McGuinness, Suzanne Little, Noel E. O'Connor
2016	B	`conf`	Holistic features for real-time crowd behaviour anomaly detection. ICIP Mark Marsden, Kevin McGuinness, Suzanne Little, Noel E. O'Connor
2016	C	`conf`	Smart Stadium for Smarter Living: Enriching the Fan Experience. ISM Sethuraman Panchanathan, Shayok Chakraborty, Troy McDaniel, Matt Bunch, Noel E. O'Connor, Suzanne Little, Kevin McGuinness, Mark Marsden
2015	B	`conf`	Action recognition in video using a spatial-temporal graph-based feature representation. AVSS Iveel Jargalsaikhan, Suzanne Little, Rémi Trichet, Noel E. O'Connor
2014	—	`conf`	An Evaluation of Local Action Descriptors for Human Action Classification in the Presence of Occlusion. MMM (2) Iveel Jargalsaikhan, Cem Direkoglu, Suzanne Little, Noel E. O'Connor
2014	—	`conf`	Empirical Exploration of Extreme SVM-RBF Parameter Values for Visual Object Classification. MMM (2) Rami Albatal, Suzanne Little
2013	B	`conf`	Action recognition based on sparse motion trajectories. ICIP Iveel Jargalsaikhan, Suzanne Little, Cem Direkoglu, Noel E. O'Connor
2013	B	`conf`	An information retrieval approach to identifying infrequent events in surveillance video. ICMR 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, Jun Liu
2013	—	`conf`	Identifying and addressing challenges for search and analysis of disparate surveillance video archives. ICDP Suzanne Little, Kathy M. Clawson, Anna Mereu, Aitor Rodriguez
2013	B	`conf`	Interactive surveillance event detection at TRECVid2012. ICMR Suzanne Little, Iveel Jargalsaikhan, Kathy M. Clawson, Marcos Nieto, Hao Li, Cem Direkoglu, Noel E. O'Connor, Alan F. Smeaton, Jun Liu, Bryan W. Scotney, Hui Wang, Seán Gaines, Aitor Rodriguez, Pedro J. Sánchez, Ana Martínez Llorens, Karina Villarroel Peniza, Roberto Gimenez, Raúl Santos de la Cámara, Anna Mereu, Celso Prados, Emmanouil Kafetzakis
2013	—	`conf`	SAVASA Project @ TRECVid 2013: Semantic Indexing and Interactive Surveillance Event Detection. TRECVID 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, Jun Liu, Marcos Nieto, Juan Diego Ortega, Aitor Rodriguez, Iñigo Aramburu, Emmanouil Kafetzakis
2013	C	`conf`	The Impact of Video Transcoding Parameters on Event Detection for Surveillance Systems. ISM Emmanouil Kafetzakis, Christos Xilouris, Michail-Alexandros Kourtis, Marcos Nieto, Iveel Jargalsaikhan, Suzanne Little
2012	—	`conf`	SAVASA Project @ TRECVID 2012: Interactive Surveillance Event Detection. TRECVID 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, Roberto Gimenez, Raúl Santos de la Cámara, Anna Mereu
2011	—	`conf`	Formal Metadata and Shared Experiences for Discovering Tools to Adapt Open Educational Resources. SITIS Suzanne Little, Alexander Mikroyannidis, Alexandra Okada, Peter Scott
2011	—	`ch.`	Multimedia: behaviour, interfaces and interaction. Interactive Information Seeking, Behaviour and Retrieval Haiming Liu, Suzanne Little, Stefan M. Rüger
2011	—	`ch.`	Multimedia: information representation and access. Interactive Information Seeking, Behaviour and Retrieval Suzanne Little, Evan Brown, Stefan M. Rüger
2010	A	`ed.`	Advances in Information Retrieval, 32nd European Conference on IR Research, ECIR 2010, Milton Keynes, UK, March 28-31, 2010. Proceedings ECIR Cathal Gurrin, Yulan He, Gabriella Kazai, Udo Kruschwitz, Suzanne Little, Thomas Roelleke, Stefan M. Rüger, Keith van Rijsbergen
2010	—	`ch.`	An Overview of Evaluation Campaigns in Multimedia Retrieval. ImageCLEF Suzanne Little, Ainhoa Llorente, Stefan M. Rüger
2010	J	`jnl`	ECIR 2010: 32nd european conference on information retrieval research. SIGIR Forum Cathal Gurrin, Yulan He, Udo Kruschwitz, Suzanne Little, Stefan M. Rüger
2010	J	`jnl`	Evaluation of Feature Subset Selection, Feature Weighting, and Prototype Selection for Biomedical Applications. J. Softw. Eng. Appl. Suzanne Little, Sara Colantonio, Ovidio Salvetti, Petra Perner
2010	—	`conf`	NewsRoom: an information-seeking support system for news videos. Multimedia Information Retrieval Abdigani Diriye, Srdan Zagorac, Suzanne Little, Stefan M. Rüger
2010	A	`conf`	Recent Developments in Information Retrieval. ECIR Cathal Gurrin, Yulan He, Gabriella Kazai, Udo Kruschwitz, Suzanne Little, Thomas Roelleke, Stefan M. Rüger, Keith van Rijsbergen
2009	—	`conf`	Automated Content Based Video Retrieval. TRECVID Srdan Zagorac, Ainhoa Llorente, Suzanne Little, Haiming Liu, Stefan M. Rüger
2009	J	`jnl`	Can Prototype-Based Classification be a good Method for Biomedical Applications?. Trans. Mach. Learn. Data Min. Suzanne Little, Sara Colatino, Ovidio Salvetti, Petra Perner
2009	C	`conf`	Conservation of effort in feature selection for image annotation. MMSP Suzanne Little, Stefan M. Rüger
2009	—	`conf`	MMIS at ImageCLEF 2009: Non-parametric Density Estimation Algorithms. CLEF (Working Notes) Ainhoa Llorente, Suzanne Little, Stefan M. Rüger
2008	B	`conf`	Evaluating a Case-Based Classifier for Biomedical Applications. CBMS Suzanne Little, Ovidio Salvetti, Petra Perner
2008	—	`conf`	Evaluation of Feature Subset Selection, Feature Weighting, and Prototype Selection for Biomedical Applications. ECCBR Suzanne Little, Ovidio Salvetti, Petra Perner
2008	—	`conf`	Semantic Video Annotation using Background Knowledge and Similarity-based Video Retrieval. TRECVID Ainhoa Llorente, Srdan Zagorac, Suzanne Little, Rui Hu, Stefan M. Rüger, Anuj Kumar, Suhail Shaik, Xiang Ma
2007	C	`conf`	Integration of Structural and Semantic Models for Multimedia Metadata Management. CBMI Suzanne Little, Massimo Martinelli, Ovidio Salvetti, Ugur Güdükbay, Özgür Ulusoy, Gaël de Chalendar, Gregory Grefenstette
2007	—	`conf`	Semi-Automatic Semantic Annotation of Images. ICDM Workshops Suzanne Little, Ovidio Salvetti, Petra Perner
2007	—	`conf`	Semi-Automatic Semantic Annotation of Images. LWA Suzanne Little, Ovidio Salvetti, Petra Perner
2007	—	`conf`	Semi-automatic Semantic Tagging of 3D Images from Pancreas Cells. MDA Suzanne Little, Ovidio Salvetti, Petra Perner
2006	—	`conf`	MultiMedia Metadata Management: a Proposal for an Infrastructure. SWAP Patrizia Asirelli, Suzanne Little, Massimo Martinelli, Ovidio Salvetti
2006	—	`—`	Semantic Framework for the Management, Analysis and Assimilation of Mixed-media Scientific Data Suzanne Little
2005	J	`jnl`	A framework to enable the semantic inferencing and querying of multimedia content. Int. J. Web Eng. Technol. Jane Hunter, Suzanne Little
2005	B	`conf`	Evaluating the application of semantic inferencing rules to image annotation. K-CAP Laura Hollink, Suzanne Little, Jane Hunter
2004	B	`conf`	Cuypers Meets Users: Implementing a User Model Architecture for Multimedia Presentation Generation. MMM Suzanne Little, Lynda Hardman
2004	—	`conf`	Next Generation Search Interfaces - Interactive Data Exploration and Hypothesis Formulation. ECDL Jane Hunter, Katya Falkovych, Suzanne Little
2004	J	`jnl`	Realizing the Hydrogen Economy through Semantic Web Technologies. IEEE Intell. Syst. Jane Hunter, John Drennan, Suzanne Little
2004	Misc	`conf`	Rules-By-Example - A Novel Approach to Semantic Indexing and Querying of Images. ISWC Suzanne Little, Jane Hunter
2002	—	`conf`	Dynamic Generation of Intelligent Multimedia Presentations through Semantic Inferencing. ECDL Suzanne Little, Joost Geurts, Jane Hunter
2001	—	`conf`	Building and Indexing a Distributed Multimedia Presentation Archive Using SMIL. ECDL Jane Hunter, Suzanne Little