default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDSuzanne Little
Suzanne Lyttle
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[j13]Khadija Iddrisu
, Waseem Shariff, Peter Corcoran, Noel E. O'Connor, Joe Lemley, Suzanne Little:
Event Camera-Based Eye Motion Analysis: A Survey. IEEE Access 12: 136783-136804 (2024)- [c67]Sidra Aleem, Fangyijie Wang, Mayug Maniparambil, Eric Arazo, Julia Dietlmeier, Kathleen M. Curran, Noel E. O'Connor, Suzanne Little:
Test-Time Adaptation with SaLIP: A Cascade of SAM and CLIP for Zero-shot Medical Image Segmentation. CVPR Workshops 2024: 5184-5193 - [c66]Sidra Aleem, Julia Dietlmeier, Eric Arazo, Suzanne Little:
ConvLoRA and AdaBN Based Domain Adaptation via Self-Training. ISBI 2024: 1-5 - [c65]Chinmaya Kaundanya, Paulo Cesar, Barry Cronin, Andrew Fleury, Mingming Liu, Suzanne Little:
Using Attention Mechanisms in Compact CNN Models for Improved Micromobility Safety Through Lane Recognition. VEHITS 2024: 88-98 - [i18]Sidra Aleem, Julia Dietlmeier, Eric Arazo, Suzanne Little:
ConvLoRA and AdaBN based Domain Adaptation via Self-Training. CoRR abs/2402.04964 (2024) - [i17]Sidra Aleem, Fangyijie Wang, Mayug Maniparambil, Eric Arazo, Julia Dietlmeier, Guénolé Silvestre, Kathleen M. Curran, Noel E. O'Connor, Suzanne Little:
Test-Time Adaptation with SaLIP: A Cascade of SAM and CLIP for Zero shot Medical Image Segmentation. CoRR abs/2404.06362 (2024) - [i16]Khadija Iddrisu, Waseem Shariff, Suzanne Little:
A Framework for Pupil Tracking with Event Cameras. CoRR abs/2407.16665 (2024) - [i15]Khadija Iddrisu, Waseem Shariff, Noel E. O'Connor, Joseph Lemley, Suzanne Little:
Evaluating Image-Based Face and Eye Tracking with Event Cameras. CoRR abs/2408.10395 (2024) - 2023
- [j12]Malgorzata Gutowska, Suzanne Little, Andrew McCarren:
Constructing a Meta-Learner for Unsupervised Anomaly Detection. IEEE Access 11: 45815-45825 (2023) - [c64]Abhishek Mandal, Suzanne Little, Susan Leavy:
Gender Bias in Multimodal Models: A Transnational Feminist Approach Considering Geographical Region and Culture. AEQUITAS@ECAI 2023 - [c63]Abhishek Mandal, Susan Leavy, Suzanne Little:
Measuring Bias in Multimodal Models: Multimodal Composite Association Score. BIAS 2023: 17-30 - [c62]Abhishek Mandal, Susan Leavy, Suzanne Little:
Biased Attention: Do Vision Transformers Amplify Gender Bias More than Convolutional Neural Networks? BMVC 2023: 629-632 - [c61]Giulia Osti, Amber L. Cushing, Suzanne Little:
More than Meets the (Artificial) Eye: Exploring Historical Photographs from Ireland with Computer Vision Methods. DH 2023 - [c60]Abhishek Mandal, Suzanne Little, Susan Leavy:
Multimodal Bias: Assessing Gender Bias in Computer Vision Models with NLP Techniques. ICMI 2023: 416-424 - [c59]Shardul Suryawanshi, Mihael Arcan, Suzanne Little, Paul Buitelaar:
Multimodal Offensive Meme Classification with Natural Language Inference. LDK 2023: 134-145 - [i14]Malgorzata Gutowska, Suzanne Little, Andrew McCarren:
Constructing a meta-learner for unsupervised anomaly detection. CoRR abs/2304.11438 (2023) - [i13]Abhishek Mandal, Susan Leavy, Suzanne Little:
Multimodal Composite Association Score: Measuring Gender Bias in Generative Multimodal Models. CoRR abs/2304.13855 (2023) - [i12]Sidra Aleem, Mayug Maniparambil, Suzanne Little, Noel E. O'Connor, Kevin McGuinness:
An Ensemble Deep Learning Approach for COVID-19 Severity Prediction Using Chest CT Scans. CoRR abs/2305.10115 (2023) - [i11]Abhishek Mandal, Suzanne Little, Susan Leavy:
Gender Bias in Multimodal Models: A Transnational Feminist Approach Considering Geographical Region and Culture. CoRR abs/2309.04997 (2023) - [i10]Abhishek Mandal, Susan Leavy, Suzanne Little:
Biased Attention: Do Vision Transformers Amplify Gender Bias More than Convolutional Neural Networks? CoRR abs/2309.08760 (2023) - 2022
- [c58]Venkatesh G. Munirathnam, Noel E. O'Connor, Suzanne Little:
Incorporating Spatio-Temporal Information in Frustum-ConvNet for Improved 3D Object Detection in Instrumented Vehicles. EUVIP 2022: 1-6 - [c57]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:
The ASU-DCU International Research and Workforce Development Program on Sensors and Machine Learning. IISA 2022: 1-6 - [i9]Sidra Aleem, Teerath Kumar, Suzanne Little, Malika Bendechache, Rob Brennan, Kevin McGuinness:
Random Data Augmentation based Enhancement: A Generalized Enhancement Approach for Medical Datasets. CoRR abs/2210.00824 (2022) - 2021
- [j11]Vitor A. C. Horta, Ilaria Tiddi, Suzanne Little, Alessandra Mileo:
Extracting knowledge from Deep Neural Networks through graph analysis. Future Gener. Comput. Syst. 120: 109-118 (2021) - [c56]Abhishek Mandal, Susan Leavy, Suzanne Little:
Dataset Diversity: Measuring and Mitigating Geographical Bias in Image Search and Retrieval. Trustworthy AI @ ACM Multimedia 2021: 19-25 - [c55]Dhaval Salwala, Piyush Yadav, Venkatesh G. Munirathnam, Suzanne Little, Noel E. O'Connor, Edward Curry:
UrbanAccess: Query Driven Urban Analytics Platform for Detecting Complex Accessibility Event Patterns using Tactile Surfaces. UrbanMM @ ACM Multimedia 2021: 19-21 - [c54]Venkatesh G M, Bianca Pereira, Suzanne Little:
Urban Footpath Image Dataset to Assess Pedestrian Mobility. UrbanMM @ ACM Multimedia 2021: 23-30 - [c53]Stevan Rudinac, Alessandro Bozzon, Tat-Seng Chua, Suzanne Little, Daniel Gatica-Perez, Kiyoharu Aizawa:
UrbanMM'21: 1st International Workshop on Multimedia Computing for Urban Data. ACM Multimedia 2021: 5696-5697 - [e3]Stevan Rudinac, Alessandro Bozzon, Tat-Seng Chua, Suzanne Little, Daniel Gatica-Perez, Kiyoharu Aizawa:
UrbanMM'21: Proceedings of the 1st International Workshop on Multimedia Computing for Urban Data, Virtual Event, China, 20 October 2021. ACM 2021, ISBN 978-1-4503-8669-2 [contents] - [i8]Shardul Suryawanshi, Bharathi Raja Chakravarthi, Mihael Arcan, Suzanne Little, Paul Buitelaar:
TrollsWithOpinion: A Dataset for Predicting Domain-specific Opinion Manipulation in Troll Memes. CoRR abs/2109.03571 (2021) - 2020
- [j10]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:
ECIR 2020 workshops: assessing the impact of going online. SIGIR Forum 54(1): 7:1-7:11 (2020) - [c52]Feiyan Hu, Venkatesh G M, Noel E. O'Connor, Alan F. Smeaton, Suzanne Little:
Utilising Visual Attention Cues for Vehicle Detection and Tracking. ICPR 2020: 5535-5542 - [c51]Jaime B. Fernandez, Suzanne Little, Noel E. O'Connor:
Multiple Path Prediction for Traffic Scenes using LSTMs and Mixture Density Models. VEHITS 2020: 481-488 - [i7]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:
ECIR 2020 Workshops: Assessing the Impact of Going Online. CoRR abs/2005.06748 (2020) - [i6]Feiyan Hu, Venkatesh G M, Noel E. O'Connor, Alan F. Smeaton, Suzanne Little:
Utilising Visual Attention Cues for Vehicle Detection and Tracking. CoRR abs/2008.00106 (2020)
2010 – 2019
- 2019
- [j9]Dian Zhang, Brendan Heery, Maria O'Neil, Suzanne Little, Noel E. O'Connor, Fiona Regan:
A Low-Cost Smart Sensor Network for Catchment Monitoring. Sensors 19(10): 2278 (2019) - [c50]Jaime B. Fernandez, Venkatesh G M, Dian Zhang, Suzanne Little, Noel E. O'Connor:
Semi-Automatic Multi-Object Video Annotation Based on Tracking, Prediction and Semantic Segmentation. CBMI 2019: 1-4 - [c49]Venkatesh G M, Feiyan Hu, Noel E. O'Connor, Alan F. Smeaton, Zhen Yang, Suzanne Little:
Saliency Guided 2D-Object Annotation for Instrumented Vehicles. CBMI 2019: 1-7 - [c48]Jaime B. Fernandez, Suzanne Little, Noel E. O'Connor:
A Single-Shot Approach Using an LSTM for Moving Object Path Prediction. IPTA 2019: 1-6 - [c47]Panagiotis Linardos, Suzanne Little, Kevin McGuinness:
MediaEval 2019: Concealed FGSM Perturbations for Privacy Preservation. MediaEval 2019 - [c46]Owen Corrigan, Suzanne Little:
Fashion Police: Towards Semantic Indexing of Clothing Information in Surveillance Data. MMM (1) 2019: 191-201 - [e2]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 International Conference on Content-Based Multimedia Indexing, CBMI 2019, Dublin, Ireland, September 4-6, 2019. IEEE 2019, ISBN 978-1-7281-4673-7 [contents] - [i5]Panagiotis Linardos, Suzanne Little, Kevin McGuinness:
MediaEval 2019: Concealed FGSM Perturbations for Privacy Preservation. CoRR abs/1910.11603 (2019) - 2018
- [j8]Houssem Chatbri, Keisuke Kameyama, Paul Kwan, Suzanne Little, Noel E. O'Connor:
A novel shape descriptor based on salient keypoints detection for binary image matching and retrieval. Multim. Tools Appl. 77(21): 28925-28948 (2018) - [c45]Mark Marsden, Kevin McGuinness, Suzanne Little, Ciara E. Keogh, Noel E. O'Connor:
People, Penguins and Petri Dishes: Adapting Object Counting Models to New Visual Domains and Object Types Without Forgetting. CVPR 2018: 8070-8079 - [c44]Y. G. Naresh, Suzanne Little, Noel E. O'Connor:
A Residual Encoder-Decoder Network for Semantic Segmentation in Autonomous Driving Scenarios. EUSIPCO 2018: 1052-1056 - [c43]Venkatesh G M, Y. G. Naresh, Suzanne Little, Noel E. O'Connor:
A Deep Residual Architecture for Skin Lesion Segmentation. OR 2.0/CARE/CLIP/ISIC@MICCAI 2018: 277-284 - [c42]Camille Ballas, Mark Marsden, Dian Zhang, Noel E. O'Connor, Suzanne Little:
Performance of video processing at the edge for crowd-monitoring applications. WF-IoT 2018: 482-487 - 2017
- [j7]Sethuraman Panchanathan, Shayok Chakraborty, Troy McDaniel, Ramin Tadayon, Bijan Fakhri, Noel E. O'Connor, Mark Marsden, Suzanne Little, Kevin McGuinness, David S. Monaghan:
Enriching the Fan Experience in a Smart Stadium Using Internet of Things Technologies. Int. J. Semantic Comput. 11(2): 137-170 (2017) - [c41]Iveel Jargalsaikhan, Suzanne Little, Noel E. O'Connor:
Action localization in video using a graph-based feature representation. AVSS 2017: 1-6 - [c40]Mark Marsden, Kevin McGuinness, Suzanne Little, Noel E. O'Connor:
ResnetCrowd: A residual deep learning architecture for crowd counting, violent behaviour detection and crowd density level classification. AVSS 2017: 1-7 - [c39]Marlon Oliveira, Houssem Chatbri, Suzanne Little, Ylva Ferstl, Noel E. O'Connor, Alistair Sutherland:
Irish Sign Language Recognition Using Principal Component Analysis and Convolutional Neural Networks. DICTA 2017: 1-8 - [c38]Houssem Chatbri, Marlon Oliveira, Kevin McGuinness, Suzanne Little, Keisuke Kameyama, Paul Kwan, Alistair Sutherland, Noel E. O'Connor:
Educational video classification by using a transcript to image transform and supervised learning. IPTA 2017: 1-6 - [c37]Marlon Oliveira, Houssem Chatbri, Suzanne Little, Noel E. O'Connor, Alistair Sutherland:
A comparison between end-to-end approaches and feature extraction based approaches for Sign Language recognition. IVCNZ 2017: 1-6 - [c36]Houssem Chatbri, Kevin McGuinness, Suzanne Little, Jiang Zhou, Keisuke Kameyama, Paul Kwan, Noel E. O'Connor:
Automatic MOOC Video Classification using Transcript Features and Convolutional Neural Networks. MultiEdTech@MM 2017: 21-26 - [c35]Aaron Duane, Jiang Zhou, Suzanne Little, Cathal Gurrin, Alan F. Smeaton:
An Annotation System for Egocentric Image Media. MMM (2) 2017: 442-445 - [c34]Suzanne Little, Dian Zhang, Camille Ballas, Noel E. O'Connor, David Prendergast, Keith Nolan, Brian Quinn, Niall Moran, Mike Myers, Clare Dillon, Tomás Meehan:
Understanding packet loss for sound monitoring in a smart stadium IoT testbed. FAILSAFE@SenSys 2017: 40-45 - [c33]Mark Marsden, Kevin McGuinness, Suzanne Little, Noel E. O'Connor:
Fully Convolutional Crowd Counting on Highly Congested Scenes. VISIGRAPP (5: VISAPP) 2017: 27-33 - [i4]Mark Marsden, Kevin McGuinness, Suzanne Little, Noel E. O'Connor:
ResnetCrowd: A Residual Deep Learning Architecture for Crowd Counting, Violent Behaviour Detection and Crowd Density Level Classification. CoRR abs/1705.10698 (2017) - [i3]Mark Marsden, Kevin McGuinness, Suzanne Little, Ciara E. Keogh, Noel E. O'Connor:
People, Penguins and Petri Dishes: Adapting Object Counting Models To New Visual Domains And Object Types Without Forgetting. CoRR abs/1711.05586 (2017) - 2016
- [j6]Hui Wang, Marcos Nieto, Zhen Lei, Suzanne Lyttle:
Guest Editorial. IET Comput. Vis. 10(4): 235-236 (2016) - [c32]Mark Marsden, Kevin McGuinness, Suzanne Little, Noel E. O'Connor:
Holistic features for real-time crowd behaviour anomaly detection. ICIP 2016: 918-922 - [c31]Sethuraman Panchanathan, Shayok Chakraborty, Troy McDaniel, Matt Bunch, Noel E. O'Connor, Suzanne Little, Kevin McGuinness, Mark Marsden:
Smart Stadium for Smarter Living: Enriching the Fan Experience. ISM 2016: 152-157 - [i2]Mark Marsden, Kevin McGuinness, Suzanne Little, Noel E. O'Connor:
Holistic Features For Real-Time Crowd Behaviour Anomaly Detection. CoRR abs/1606.05310 (2016) - [i1]Mark Marsden, Kevin McGuinness, Suzanne Little, Noel E. O'Connor:
Fully Convolutional Crowd Counting On Highly Congested Scenes. CoRR abs/1612.00220 (2016) - 2015
- [c30]Iveel Jargalsaikhan, Suzanne Little, Rémi Trichet, Noel E. O'Connor:
Action recognition in video using a spatial-temporal graph-based feature representation. AVSS 2015: 1-6 - 2014
- [c29]Iveel Jargalsaikhan, Cem Direkoglu, Suzanne Little, Noel E. O'Connor:
An Evaluation of Local Action Descriptors for Human Action Classification in the Presence of Occlusion. MMM (2) 2014: 56-67 - [c28]Rami Albatal, Suzanne Little:
Empirical Exploration of Extreme SVM-RBF Parameter Values for Visual Object Classification. MMM (2) 2014: 299-306 - 2013
- [c27]Suzanne Little, Kathy M. Clawson, Anna Mereu, Aitor Rodriguez:
Identifying and addressing challenges for search and analysis of disparate surveillance video archives. ICDP 2013: 1-6 - [c26]Iveel Jargalsaikhan, Suzanne Little, Cem Direkoglu, Noel E. O'Connor:
Action recognition based on sparse motion trajectories. ICIP 2013: 3982-3985 - [c25]Emmanouil Kafetzakis, Christos Xilouris, Michail-Alexandros Kourtis, Marcos Nieto, Iveel Jargalsaikhan, Suzanne Little:
The Impact of Video Transcoding Parameters on Event Detection for Surveillance Systems. ISM 2013: 333-338 - [c24]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:
An information retrieval approach to identifying infrequent events in surveillance video. ICMR 2013: 223-230 - [c23]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:
Interactive surveillance event detection at TRECVid2012. ICMR 2013: 301-302 - [c22]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:
SAVASA Project @ TRECVid 2013: Semantic Indexing and Interactive Surveillance Event Detection. TRECVID 2013 - 2012
- [c21]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:
SAVASA Project @ TRECVID 2012: Interactive Surveillance Event Detection. TRECVID 2012 - 2011
- [c20]Suzanne Little, Alexander Mikroyannidis, Alexandra Okada, Peter Scott:
Formal Metadata and Shared Experiences for Discovering Tools to Adapt Open Educational Resources. SITIS 2011: 147-153 - [p3]Haiming Liu, Suzanne Little, Stefan M. Rüger:
Multimedia: behaviour, interfaces and interaction. Interactive Information Seeking, Behaviour and Retrieval 2011: 221-234 - [p2]Suzanne Little, Evan Brown, Stefan M. Rüger:
Multimedia: information representation and access. Interactive Information Seeking, Behaviour and Retrieval 2011: 235-254 - 2010
- [j5]Suzanne Little, Sara Colantonio, Ovidio Salvetti, Petra Perner:
Evaluation of Feature Subset Selection, Feature Weighting, and Prototype Selection for Biomedical Applications. J. Softw. Eng. Appl. 3(1): 39-49 (2010) - [j4]Cathal Gurrin, Yulan He, Udo Kruschwitz, Suzanne Little, Stefan M. Rüger:
ECIR 2010: 32nd european conference on information retrieval research. SIGIR Forum 44(1): 2-18 (2010) - [c19]Cathal Gurrin, Yulan He, Gabriella Kazai, Udo Kruschwitz, Suzanne Little, Thomas Roelleke, Stefan M. Rüger, Keith van Rijsbergen:
Recent Developments in Information Retrieval. ECIR 2010: 1-9 - [c18]Abdigani Diriye, Srdan Zagorac, Suzanne Little, Stefan M. Rüger:
NewsRoom: an information-seeking support system for news videos. Multimedia Information Retrieval 2010: 377-380 - [p1]Suzanne Little, Ainhoa Llorente, Stefan M. Rüger:
An Overview of Evaluation Campaigns in Multimedia Retrieval. ImageCLEF 2010: 507-525 - [e1]Cathal Gurrin, Yulan He, Gabriella Kazai, Udo Kruschwitz, Suzanne Little, Thomas Roelleke, Stefan M. Rüger, Keith van Rijsbergen:
Advances in Information Retrieval, 32nd European Conference on IR Research, ECIR 2010, Milton Keynes, UK, March 28-31, 2010. Proceedings. Lecture Notes in Computer Science 5993, Springer 2010, ISBN 978-3-642-12274-3 [contents]
2000 – 2009
- 2009
- [j3]Suzanne Little, Sara Colatino, Ovidio Salvetti, Petra Perner:
Can Prototype-Based Classification be a good Method for Biomedical Applications?. Trans. Mach. Learn. Data Min. 2(1): 44-61 (2009) - [c17]Ainhoa Llorente, Suzanne Little, Stefan M. Rüger:
MMIS at ImageCLEF 2009: Non-parametric Density Estimation Algorithms. CLEF (Working Notes) 2009 - [c16]Suzanne Little, Stefan M. Rüger:
Conservation of effort in feature selection for image annotation. MMSP 2009: 1-6 - [c15]Srdan Zagorac, Ainhoa Llorente, Suzanne Little, Haiming Liu, Stefan M. Rüger:
Automated Content Based Video Retrieval. TRECVID 2009 - 2008
- [c14]Suzanne Little, Ovidio Salvetti, Petra Perner:
Evaluating a Case-Based Classifier for Biomedical Applications. CBMS 2008: 584-586 - [c13]Suzanne Little, Ovidio Salvetti, Petra Perner:
Evaluation of Feature Subset Selection, Feature Weighting, and Prototype Selection for Biomedical Applications. ECCBR 2008: 312-324 - [c12]Ainhoa Llorente, Srdan Zagorac, Suzanne Little, Rui Hu, Stefan M. Rüger, Anuj Kumar, Suhail Shaik, Xiang Ma:
Semantic Video Annotation using Background Knowledge and Similarity-based Video Retrieval. TRECVID 2008 - 2007
- [c11]Suzanne Little, Massimo Martinelli, Ovidio Salvetti, Ugur Güdükbay, Özgür Ulusoy, Gaël de Chalendar, Gregory Grefenstette:
Integration of Structural and Semantic Models for Multimedia Metadata Management. CBMI 2007: 40-45 - [c10]Suzanne Little, Ovidio Salvetti, Petra Perner:
Semi-Automatic Semantic Annotation of Images. ICDM Workshops 2007: 45-50 - [c9]Suzanne Little, Ovidio Salvetti, Petra Perner:
Semi-Automatic Semantic Annotation of Images. LWA 2007: 113-118 - [c8]Suzanne Little, Ovidio Salvetti, Petra Perner:
Semi-automatic Semantic Tagging of 3D Images from Pancreas Cells. MDA 2007: 69-79 - 2006
- [b1]Suzanne Little:
Semantic Framework for the Management, Analysis and Assimilation of Mixed-media Scientific Data. University of Queensland, Australia, 2006 - [c7]Patrizia Asirelli, Suzanne Little, Massimo Martinelli, Ovidio Salvetti:
MultiMedia Metadata Management: a Proposal for an Infrastructure. SWAP 2006 - 2005
- [j2]Jane Hunter, Suzanne Little:
A framework to enable the semantic inferencing and querying of multimedia content. Int. J. Web Eng. Technol. 2(2/3): 264-286 (2005) - [c6]Laura Hollink, Suzanne Little, Jane Hunter:
Evaluating the application of semantic inferencing rules to image annotation. K-CAP 2005: 91-98 - 2004
- [j1]Jane Hunter, John Drennan, Suzanne Little:
Realizing the Hydrogen Economy through Semantic Web Technologies. IEEE Intell. Syst. 19(1): 40-47 (2004) - [c5]Jane Hunter, Katya Falkovych, Suzanne Little:
Next Generation Search Interfaces - Interactive Data Exploration and Hypothesis Formulation. ECDL 2004: 86-98 - [c4]Suzanne Little, Lynda Hardman:
Cuypers Meets Users: Implementing a User Model Architecture for Multimedia Presentation Generation. MMM 2004: 364 - [c3]Suzanne Little, Jane Hunter:
Rules-By-Example - A Novel Approach to Semantic Indexing and Querying of Images. ISWC 2004: 534-548 - 2002
- [c2]Suzanne Little, Joost Geurts, Jane Hunter:
Dynamic Generation of Intelligent Multimedia Presentations through Semantic Inferencing. ECDL 2002: 158-175 - 2001
- [c1]Jane Hunter, Suzanne Little:
Building and Indexing a Distributed Multimedia Presentation Archive Using SMIL. ECDL 2001: 415-428
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-23 21:27 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
