118 results on '"Gurrin, C."'
Search Results
2. MultiMedia Modeling: 29th International Conference, MMM 2023, Bergen, Norway, January 9–12, 2023, Proceedings, Part II
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Dang-Nguyen, D.-T., Gurrin, C., Larson, M., Smeaton, A.F., Rudinac, S., Dao, M.-S., Trattner, C., Chen, P, Dang-Nguyen, D.-T., Gurrin, C., Larson, M., Smeaton, A.F., Rudinac, S., Dao, M.-S., Trattner, C., and Chen, P
- Abstract
Item does not contain fulltext
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- 2023
3. Textual Concept Expansion with Commonsense Knowledge to Improve Dual-Stream Image-Text Matching
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Dang-Nguyen, D.-T., Gurrin, C., Larson, M., Smeaton, A.F., Rudinac, S., Dao, M.-S., Trattner, C., Chen, P., Liang, M., Liu, Z., Dang-Nguyen, D.-T., Gurrin, C., Larson, M., Smeaton, A.F., Rudinac, S., Dao, M.-S., Trattner, C., Chen, P., Liang, M., and Liu, Z.
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MMM 2023, Item does not contain fulltext
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- 2023
4. Investigating the Impact of Query Representation on Medical Information Retrieval
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Kamps, J, Goeuriot, L, Crestani, F, Maistro, M, Joho, H, Davis, B, Gurrin, C, Caputo, A, Kruschwitz, U, Peikos, G, Alexander, D, Pasi, G, de Vries, A, Peikos G., Alexander D., Pasi G., de Vries A. P., Kamps, J, Goeuriot, L, Crestani, F, Maistro, M, Joho, H, Davis, B, Gurrin, C, Caputo, A, Kruschwitz, U, Peikos, G, Alexander, D, Pasi, G, de Vries, A, Peikos G., Alexander D., Pasi G., and de Vries A. P.
- Abstract
This study investigates the effect that various patient-related information extracted from unstructured clinical notes has on two different tasks, i.e., patient allocation in clinical trials and medical literature retrieval. Specifically, we combine standard and transformer-based methods to extract entities (e.g., drugs, medical problems), disambiguate their meaning (e.g., family history, negations), or expand them with related medical concepts to synthesize diverse query representations. The empirical evaluation showed that certain query representations positively affect retrieval effectiveness for patient allocation in clinical trials, but no statistically significant improvements have been identified in medical literature retrieval. Across the queries, it has been found that removing negated entities using a domain-specific pre-trained transformer model has been more effective than a standard rule-based approach. In addition, our experiments have shown that removing information related to family history can further improve patient allocation in clinical trials.
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- 2023
5. Injecting the BM25 Score as Text Improves BERT-Based Re-rankers
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Kamps, J, Goeuriot, L, Crestani, F, Maistro, M, Joho, H, Davis, B, Gurrin, C, Kruschwitz, U, Caputo, A, Askari, A, Abolghasemi, A, Pasi, G, Kraaij, W, Verberne, S, Askari A., Abolghasemi A., Pasi G., Kraaij W., Verberne S., Kamps, J, Goeuriot, L, Crestani, F, Maistro, M, Joho, H, Davis, B, Gurrin, C, Kruschwitz, U, Caputo, A, Askari, A, Abolghasemi, A, Pasi, G, Kraaij, W, Verberne, S, Askari A., Abolghasemi A., Pasi G., Kraaij W., and Verberne S.
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In this paper we propose a novel approach for combining first-stage lexical retrieval models and Transformer-based re-rankers: we inject the relevance score of the lexical model as a token in the middle of the input of the cross-encoder re-ranker. It was shown in prior work that interpolation between the relevance score of lexical and BERT-based re-rankers may not consistently result in higher effectiveness. Our idea is motivated by the finding that BERT models can capture numeric information. We compare several representations of the BM25 score and inject them as text in the input of four different cross-encoders. We additionally analyze the effect for different query types, and investigate the effectiveness of our method for capturing exact matching relevance. Evaluation on the MSMARCO Passage collection and the TREC DL collections shows that the proposed method significantly improves over all cross-encoder re-rankers as well as the common interpolation methods. We show that the improvement is consistent for all query types. We also find an improvement in exact matching capabilities over both BM25 and the cross-encoders. Our findings indicate that cross-encoder re-rankers can efficiently be improved without additional computational burden and extra steps in the pipeline by explicitly adding the output of the first-stage ranker to the model input, and this effect is robust for different models and query types.
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- 2023
6. Exploring Effective Interactive Text-Based Video Search in vitrivr
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Dang-Nguyen, Duc-Tien, Gurrin, Cathal, Larson, Martha, Smeaton, Alan F, Rudinac, Stevan, Dao, Minh-Son, Trattner, Christoph, Chen, Phoebe, Dang-Nguyen, D ( Duc-Tien ), Gurrin, C ( Cathal ), Larson, M ( Martha ), Smeaton, A F ( Alan F ), Rudinac, S ( Stevan ), Dao, M ( Minh-Son ), Trattner, C ( Christoph ), Chen, P ( Phoebe ), Sauter, Loris, Gasser, Ralph, Heller, Silvan, Rossetto, Luca, Saladin, Colin, Spiess, Florian, Schuldt, Heiko, Dang-Nguyen, Duc-Tien, Gurrin, Cathal, Larson, Martha, Smeaton, Alan F, Rudinac, Stevan, Dao, Minh-Son, Trattner, Christoph, Chen, Phoebe, Dang-Nguyen, D ( Duc-Tien ), Gurrin, C ( Cathal ), Larson, M ( Martha ), Smeaton, A F ( Alan F ), Rudinac, S ( Stevan ), Dao, M ( Minh-Son ), Trattner, C ( Christoph ), Chen, P ( Phoebe ), Sauter, Loris, Gasser, Ralph, Heller, Silvan, Rossetto, Luca, Saladin, Colin, Spiess, Florian, and Schuldt, Heiko
- Abstract
vitrivr is a general purpose retrieval system that supports a wide range of query modalities. In this paper, we briefly introduce the system and describe the changes and adjustments made for the 2023 iteration of the video browser showdown. These focus primarily on text-based retrieval schemes and corresponding user-feedback mechanisms.
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- 2023
7. Traceable Asynchronous Workflows in Video Retrieval with vitrivr-VR
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Dang-Nguyen, Duc-Tien, Gurrin, Cathal, Larson, Martha, Smeaton, Alan F, Rudinac, Stevan, Dao, Minh-Son, Trattner, Christoph, Chen, Phoebe, Dang-Nguyen, D ( Duc-Tien ), Gurrin, C ( Cathal ), Larson, M ( Martha ), Smeaton, A F ( Alan F ), Rudinac, S ( Stevan ), Dao, M ( Minh-Son ), Trattner, C ( Christoph ), Chen, P ( Phoebe ), Spiess, Florian, Heller, Silvan, Rossetto, Luca, Sauter, Loris, Weber, Philipp, Schuldt, Heiko, Dang-Nguyen, Duc-Tien, Gurrin, Cathal, Larson, Martha, Smeaton, Alan F, Rudinac, Stevan, Dao, Minh-Son, Trattner, Christoph, Chen, Phoebe, Dang-Nguyen, D ( Duc-Tien ), Gurrin, C ( Cathal ), Larson, M ( Martha ), Smeaton, A F ( Alan F ), Rudinac, S ( Stevan ), Dao, M ( Minh-Son ), Trattner, C ( Christoph ), Chen, P ( Phoebe ), Spiess, Florian, Heller, Silvan, Rossetto, Luca, Sauter, Loris, Weber, Philipp, and Schuldt, Heiko
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Virtual reality (VR) interfaces allow for entirely new modes of user interaction with systems and interfaces. Much like in physical workspaces, documents, tools, and interfaces can be used, put aside, and used again later. Such asynchronous workflows are a great advantage of virtual environments, as they enable users to perform multiple tasks in an interleaved manner. However, VR interfaces also face new challenges, such as text input without physical keyboards, and the analysis of such asynchronous workflows. In this paper we present the version of vitrivr-VR participating in the Video Browser Showdown (VBS) 2023. We describe the current state of our system, with a focus on improvements in text input methods and logging of asynchronous workflows.
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- 2023
8. Link-Rot in Web-Sourced Multimedia Datasets
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Dang-Nguyen, Duc-Tien, Gurrin, Cathal, Larson, Martha, Smeaton, Alan F, Rudinac, Stevan, Dao, Minh-Son, Trattner, Christoph, Chen, Phoebe, Dang-Nguyen, D ( Duc-Tien ), Gurrin, C ( Cathal ), Larson, M ( Martha ), Smeaton, A F ( Alan F ), Rudinac, S ( Stevan ), Dao, M ( Minh-Son ), Trattner, C ( Christoph ), Chen, P ( Phoebe ), Lakics, Viktor, Rossetto, Luca, Bernstein, Abraham; https://orcid.org/0000-0002-0128-4602, Dang-Nguyen, Duc-Tien, Gurrin, Cathal, Larson, Martha, Smeaton, Alan F, Rudinac, Stevan, Dao, Minh-Son, Trattner, Christoph, Chen, Phoebe, Dang-Nguyen, D ( Duc-Tien ), Gurrin, C ( Cathal ), Larson, M ( Martha ), Smeaton, A F ( Alan F ), Rudinac, S ( Stevan ), Dao, M ( Minh-Son ), Trattner, C ( Christoph ), Chen, P ( Phoebe ), Lakics, Viktor, Rossetto, Luca, and Bernstein, Abraham; https://orcid.org/0000-0002-0128-4602
- Abstract
The Web is increasingly used as a source for content of datasets of various types, especially multimedia content. These datasets are then often distributed as a collection of URLs, pointing to the original sources of the elements. As these sources go offline over time, the datasets experience decay in the form of link-rot. In this paper, we analyze 24 Web-sourced datasets with a combined total of over 270 million URLs and find that over 20% of the content is no longer available. We discuss the adverse effects of this decay on the reproducibility of work based on such data and make some recommendations on how they could be mediated in the future.
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- 2023
9. ROMCIR 2023: Overview of the 3rd Workshop on Reducing Online Misinformation Through Credible Information Retrieval
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Kamps, J, Goeuriot, L, Crestani, F, Maistro, M, Joho, H, Davis, B, Gurrin, C, Kruschwitz, U, Caputo, A, Petrocchi, M, Viviani, M, Petrocchi, Marinella, Viviani, Marco, Kamps, J, Goeuriot, L, Crestani, F, Maistro, M, Joho, H, Davis, B, Gurrin, C, Kruschwitz, U, Caputo, A, Petrocchi, M, Viviani, M, Petrocchi, Marinella, and Viviani, Marco
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With the advent of the Social Web, we are constantly and more than ever assaulted by different kinds of information pollution, which may lead to severe issues for both individuals and society as a whole. In this context, it becomes essential to guarantee users access to genuine information that does not distort their perception of reality. For this reason, in recent years, numerous approaches have been proposed for the identification of misinformation, in different contexts and for different purposes. However, the problem has not yet been sufficiently addressed in the field of Information Retrieval, because it has been treated primarily as a classification task to identify information versus misinformation. Hence, the purpose of this Workshop is to address the IR community for solutions in which, among other issues, the genuineness of information is considered as one of the dimensions of relevance within search engines or recommender systems, early detection of misinformation can be achieved, the results obtained are explainable with respect to the users of Information Retrieval Systems, user’s privacy is taken into consideration.
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- 2023
10. Multi-Mode Clustering for Graph-Based Lifelog Retrieval
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Gurrin, Cathal, Jonsson, Bjorn Por, Nguyen, Duc Tien Dang, Healy, Graham, Lokoc, Jakub, Zhou, Liting, Rossetto, Luca, Tran, Minh-Triet, Hurst, Wolfgang, Bailer, Werner, Schoeffmann, Klaus, Gurrin, C ( Cathal ), Jonsson, B P ( Bjorn Por ), Nguyen, D T D ( Duc Tien Dang ), Healy, G ( Graham ), Lokoc, J ( Jakub ), Zhou, L ( Liting ), Rossetto, L ( Luca ), Tran, M ( Minh-Triet ), Hurst, W ( Wolfgang ), Bailer, W ( Werner ), Schoeffmann, K ( Klaus ), Inel, Oana; https://orcid.org/0000-0003-4691-6586, Lange, Svenja; https://orcid.org/0000-0002-5694-388X, Ruosch, Florian; https://orcid.org/0000-0002-0257-3318, Wang, Ruijie; https://orcid.org/0000-0002-0581-6709, Bernstein, Abraham; https://orcid.org/0000-0002-0128-4602, Gurrin, Cathal, Jonsson, Bjorn Por, Nguyen, Duc Tien Dang, Healy, Graham, Lokoc, Jakub, Zhou, Liting, Rossetto, Luca, Tran, Minh-Triet, Hurst, Wolfgang, Bailer, Werner, Schoeffmann, Klaus, Gurrin, C ( Cathal ), Jonsson, B P ( Bjorn Por ), Nguyen, D T D ( Duc Tien Dang ), Healy, G ( Graham ), Lokoc, J ( Jakub ), Zhou, L ( Liting ), Rossetto, L ( Luca ), Tran, M ( Minh-Triet ), Hurst, W ( Wolfgang ), Bailer, W ( Werner ), Schoeffmann, K ( Klaus ), Inel, Oana; https://orcid.org/0000-0003-4691-6586, Lange, Svenja; https://orcid.org/0000-0002-5694-388X, Ruosch, Florian; https://orcid.org/0000-0002-0257-3318, Wang, Ruijie; https://orcid.org/0000-0002-0581-6709, and Bernstein, Abraham; https://orcid.org/0000-0002-0128-4602
- Abstract
As part of the 6th Lifelog Search Challenge, this paper presents an approach to arrange Lifelog data in a multi-modal knowledge graph based on cluster hierarchies. We use multiple sequence clustering approaches to address the multi-modal nature of Lifelogs in relation to temporal, spatial, and visual factors. The resulting clusters, along with semantic metadata captions and augmentations based on OpenCLIP, provide for the semantic structure of a graph including all Lifelogs as entries. Textual queries on this hierarchical graph can be expressed to retrieve individual Lifelogs, as well as clusters of Lifelogs.
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- 2023
11. Textual Concept Expansion with Commonsense Knowledge to Improve Dual-Stream Image-Text Matching
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Liang, M., Liu, Z., Larson, M., Dang-Nguyen, D.-T., Gurrin, C., Smeaton, A.F., Rudinac, S., Dao, M.-S., Trattner, C., and Chen, P.
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- 2023
12. The Importance of Image Interpretation: Patterns of Semantic Misclassification in Real-World Adversarial Images
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Zhao, Z., Dang, N., Larson, M., Dang-Nguyen, D.-T., Gurrin, C., Smeaton, A.F., Rudinac, S., Dao, M.-S., Trattner, C., and Chen, P.
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- 2023
13. Social Signals and Multimedia: Past, Present, Future
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Hung, H., Gurrin, C., Larson, M., Gunes, H., Ringeval, F., Andre, E., Morency, L.-P., Shen, H.T., and Shen, H.T.
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multimedia ,Multimedia ,Process (engineering) ,Computer science ,SIGNAL (programming language) ,Data Science ,human social behavior ,Identity (social science) ,social signal processing ,Direct transfer ,computer.software_genre ,artificial intelligence ,Popularity ,Language & Communication ,Public interest ,multi-modal machine learning ,Social needs ,multimedia, human social behavior, artificial intelligence, multimodal machine learning, social signal processing ,Multiple modalities ,Language & Speech Technology ,computer - Abstract
The rising popularity of Artificial Intelligence (AI) has brought considerable public interest as well faster and more direct transfer of research ideas into practice. One of the aspects of AI that still trails behind considerably is the role of machines in interpreting, enhancing, modeling, generating, and influencing social behavior. Such behavior is captured as social signals, usually by sensors recording multiple modalities, making it classic multimedia data. Such behavior can also be generated by an AI system when interacting with humans. Using AI techniques in combination with multimedia data can be used to pursue multiple goals, two of which are highlighted here. First, supporting people during social interactions and helping them to fulfil their social needs either actively or passively. Second, improving our understanding of how people collaborate, build relationships, and process self identity. Despite the rise of fields such as Social Signal Processing, a similar panel organised at ACM Multimedia 2014, and an area on social and emotional signals at the ACM MM since 2014, we argue that we have yet to truly fulfil the potential of the combining social signals and multimedia. This panel asks where we have come far enough and what remaining challenges there are in light of recent global events.
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- 2021
14. Social Signals and Multimedia: Past, Present, Future
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Shen, H.T., Hung, H., Gurrin, C., Larson, M., Gunes, H., Ringeval, F., Andre, E., Morency, L.-P., Shen, H.T., Hung, H., Gurrin, C., Larson, M., Gunes, H., Ringeval, F., Andre, E., and Morency, L.-P.
- Abstract
MM '21, Contains fulltext : 239932.pdf (Publisher’s version ) (Closed access)
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- 2021
15. Guest editorial
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Hopfgartner, F., Joho, H., and Gurrin, C.
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- 2020
16. Overview of ImageCLEF Lifelog 2020: Lifelog Moment Retrieval and Sport Performance Lifelog
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Ninh, V. -T, Le, T. -K, Liting Zhou, Piras, L., Riegler, M., Halvorsen, P., Lux, M., Tran, M. -T, Gurrin, C., and Dang-Nguyen, D. -T
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Sport Performance Lifelog ,Lifelog Moments Retrieval ,Lifelog challenges - Abstract
This paper describes the fourth edition of Lifelog challenges in ImageCLEF 2020. In this edition, the Lifelog challenges consist of two tasks which are Lifelog Moments Retrieval (LMRT) and Sport Per- formance Lifelog (SPLL). While the Lifelog Moments Retrieval chal- lenge follows the same format of the previous edition, its data is a larger multimodal dataset based on the merger of three previous NT- CIR Lifelog datasets, which contain approximately 191,439 images with corresponding visual concepts and other related metadata. The Sport Performance Lifelog, which is a brand new challenge, is composed of three subtasks that focus on predicting the expected performance of ath- letes who trained for a sport event. In summary, the ImageCLEF Lifelog 2020 receives 50 runs from six teams in total with competitive results. This publication has emanated from research supported in party by research grants from Irish Research Council (IRC) under Grant Number GOIPG/2016/741 and Science Foundation Ireland under grant numbers SFI/12/RC/2289 and SFI/13/RC/2106.
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- 2020
17. LIFER 2.0: discovering personal lifelog insights using an interactive lifelog retrieval system
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Ninh, V. -T, Le, T. -K, Liting Zhou, Piras, L., Riegler, M., Lux, M., Tran, M. -T, Gurrin, C., and Dang-Nguyen, D. -T
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Information storage and retrieval systems ,Interactive computer systems ,Information retrieval ,Lifelog - Abstract
This paper describes the participation of the Organiser Team in the ImageCLEFlifelog 2019 Solve My Life Puzzle (Puzzle) and Lifelog Moment Retrieval (LMRT) tasks. We proposed to use LIFER 2.0, an enhanced version of LIFER, which was an interactive retrieval system for personal lifelog data. We utilised LIFER 2.0 with some additional visual features, obtained by using traditional visual bag-of-words, to solve the Puzzle task, while with the LMRT, we applied LIFER 2.0 only with the provided information. The results on both tasks confirmed that by using faceted filter and context browsing, a user can gain insights from their personal lifelog by employing very simple interactions. These results also serve as baselines for other approaches in the ImageCLEFlifelog 2019 challenge to compare with. publishedVersion
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- 2019
18. Predicting Behavioural Patterns in Discussion Forums using Deep Learning on Hypergraphs
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Arya, D., Rudinac, S., Worring, M., Gurrin, C., Jónsson, B.Þ., Péteri, R., Marchand-Maillet, S., Quénot, G., McGuinness, K., Guðmundsson, G.Þ., Little, S., Katsurai, M., Healy, G., Intelligent Sensory Information Systems (IVI, FNWI), Operations Management (ABS, FEB), and Faculty of Science
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World Wide Web ,Online discussion ,Relation (database) ,business.industry ,Computer science ,Task analysis ,The Internet ,Use case ,Generalizability theory ,business ,Semantics ,Visualization - Abstract
Online discussion forums provide open workspace allowing users to share information, exchange ideas, address problems, and form groups. These forums feature multimodal posts and analyzing them requires a framework that can integrate heterogeneous information extracted from the posts, i.e. text, visual content and the information about user interactions with the online platform and each other. In this paper, we develop a generic framework that can be trained to identify communication behavior and patterns in relation to an entity of interest, be it user, image or text in internet forums. As the case study we use the analysis of violent online political extremism content, which has been a major challenge for domain experts. We demonstrate the generalizability and flexibility of our framework in predicting relational information between multimodal entities by conducting extensive experimentation around four practical use cases.
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- 2019
19. Rocchio-Based Relevance Feedback in Video Event Retrieval
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Pingen, G.L.J., Boer, M.H.T. de, Aly, R.B.N., Amsaleg, L., Guðmundsson, G.Þ., Gurrin, C., Jónsson, B.Þ., Satoh, S.i., Amsaleg, L., Guðmundsson, G.Þ., Gurrin, C., Jónsson, B.Þ., and Satoh, S.i.
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TS - Technical Sciences ,DSC - Data Science ,ICT ,Data Science - Abstract
Item does not contain fulltext
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- 2017
20. 297Seeing is believing: the feasibility and acceptability of using wearable cameras to enhance self-management of heart failure
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Cartledge, S, primary, Rogerson, M, additional, Singh, T K R, additional, Huynh Huu, V, additional, Phung, D, additional, Gurrin, C, additional, Neil, C, additional, Ball, K, additional, and Maddison, R, additional
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- 2019
- Full Text
- View/download PDF
21. Organizer team at ImageCLEFlifelog 2017: baseline approaches for lifelog retrieval and summarization
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Liting Zhou, Piras, L., Riegler, M., Boato, G., Dang-Nguyen, D. -T, and Gurrin, C.
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Information storage and retrieval systems ,InformationSystems_INFORMATIONSTORAGEANDRETRIEVAL ,Information retrieval ,Lifelog ,cbir00 - Abstract
This paper describes the participation of Organizer Team in the ImageCLEFlifelog 2017 Retrieval and Summarization subtasks. In this paper, we propose some baseline approaches, using only the provided information, which require different involvement levels from the users. With these baselines we target at providing references for other approaches that aim to solve the problems of lifelog retrieval and summarization.
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- 2017
22. Discovering Geographic Regions in the City Using Social Multimedia and Open Data
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Rudinac, S., Zahálka, J., Worring, M., Amsaleg, L., Guðmundsson, G.Þ., Gurrin, C., Jónsson, B.Þ., Satoh, S., Intelligent Sensory Information Systems (IVI, FNWI), Information and Language Processing Syst (IVI, FNWI), and Operations Management (ABS, FEB)
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Topic model ,Computer science ,020207 software engineering ,02 engineering and technology ,Visual appearance ,Convolutional neural network ,Data science ,Open data ,Urban computing ,0202 electrical engineering, electronic engineering, information engineering ,020201 artificial intelligence & image processing ,Social media ,Cluster analysis ,Neighbourhood (mathematics) - Abstract
In this paper we investigate the potential of social multimedia and open data for automatically identifying regions within the city. We conjecture that the regions may be characterized by specific patterns related to their visual appearance, the manner in which the social media users describe them, and the human mobility patterns. Therefore, we collect a dataset of Foursquare venues, their associated images and users, which we further enrich with a collection of city-specific Flickr images, annotations and users. Additionally, we collect a large number of neighbourhood statistics related to e.g., demographics, housing and services. We then represent visual content of the images using a large set of semantic concepts output by a convolutional neural network and extract latent Dirichlet topics from their annotations. User, text and visual information as well as the neighbourhood statistics are further aggregated at the level of postal code regions, which we use as the basis for detecting larger regions in the city. To identify those regions, we perform clustering based on individual modalities as well as their ensemble. The experimental analysis shows that the automatically detected regions are meaningful and have a potential for better understanding dynamics and complexity of a city.
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- 2017
23. Exploring distance-aware weighting strategies for accurate reconstruction of voxel-based 3D synthetic models
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Javan Hemmat, H., Bondarev, E., With, de, P.H.N., Gurrin, C., Hopfgartner, F., Hurst, W., Johansen, H., Lee, H., O’Connor, N., Video Coding & Architectures, Signal Processing Systems, and Signal processing for communications
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Computer science ,business.industry ,3D reconstruction ,Signed distance function ,3d model ,computer.software_genre ,Machine learning ,Weighting ,Reduction (complexity) ,Voxel ,Metric (mathematics) ,Errors-in-variables models ,Artificial intelligence ,Data mining ,business ,computer - Abstract
In this paper, we propose and evaluate various distance-aware weighting strategies to improve reconstruction accuracy of a voxel-based model according to the Truncated Signed Distance Function (TSDF), from the data obtained by low-cost depth sensors. We look at two strategy directions: (a) weight definition strategies prioritizing importance of the sensed data depending on the data accuracy, and (b) model updating strategies defining the level of influence of the new data on the existing 3D model. In particular, we introduce Distance-Aware (DA) and Distance-Aware Slow-Saturation (DASS) updating methods to intelligently integrate the depth data into the synthetic 3D model based on the distance-sensitivity metric of a low-cost depth sensor. By quantitative and qualitative comparison of the resulting synthetic 3D models to the corresponding ground-truth models, we identify the most promising strategies, which lead to an accuracy improvement involving a reduction of the model error by 10 '—' 35%.
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- 2014
24. Rocchio-Based Relevance Feedback in Video Event Retrieval
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Amsaleg, L., Guðmundsson, G.Þ., Gurrin, C., Jónsson, B.Þ., Satoh, S.i., Pingen, G.L.J., Boer, M.H.T. de, Aly, R.B.N., Amsaleg, L., Guðmundsson, G.Þ., Gurrin, C., Jónsson, B.Þ., Satoh, S.i., Pingen, G.L.J., Boer, M.H.T. de, and Aly, R.B.N.
- Abstract
Item does not contain fulltext
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- 2017
25. A user-oriented model for expert finding
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Smirnova, E., Balog, K., Clough, P., Foley, C., Gurrin, C., Jones, G.J.F., Kraaij, W., Lee, H., Murdoch, V., and Information and Language Processing Syst (IVI, FNWI)
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Subject-matter expert ,Information retrieval ,Social network ,business.industry ,Computer science ,Test set ,Knowledge value ,Legal expert system ,Location ,business ,Baseline (configuration management) ,Task (project management) - Abstract
Expert finding addresses the problem of retrieving a ranked list of people who are knowledgeable on a given topic. Several models have been proposed to solve this task, but so far these have focused solely on returning the most knowledgeable people as experts on a particular topic. In this paper we argue that in a real-world organizational setting the notion of the “best expert” also depends on the individual user and her needs. We propose a user-oriented approach that balances two factors that influence the user’s choice: time to contact an expert, and the knowledge value gained after. We use the distance between the user and an expert in a social network to estimate contact time, and consider various social graphs, based on organizational hierarchy, geographical location, and collaboration, as well as the combination of these. Using a realistic test set, created from interactions of employees with a university-wide expert search engine, we demonstrate substantial improvements over a state-of-the-art baseline on all retrieval measures.
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- 2011
26. Balancing exploration and exploitation in learning to rank online
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Hofmann, K., Whiteson, S., de Rijke, M., Clough, P., Foley, C., Gurrin, C., Jones, G.J.F., Kraaij, W., Lee, H., Murdoch, V., Amsterdam Machine Learning lab (IVI, FNWI), and Information and Language Processing Syst (IVI, FNWI)
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Dilemma ,Error-driven learning ,business.industry ,Active learning (machine learning) ,Computer science ,Leverage (statistics) ,Online machine learning ,Learning to rank ,Artificial intelligence ,business ,Machine learning ,computer.software_genre ,computer - Abstract
As retrieval systems become more complex, learning to rank approaches are being developed to automatically tune their parameters. Using online learning to rank approaches, retrieval systems can learn directly from implicit feedback, while they are running. In such an online setting, algorithms need to both explore new solutions to obtain feedback for effective learning, and exploit what has already been learned to produce results that are acceptable to users. We formulate this challenge as an exploration-exploitation dilemma and present the first online learning to rank algorithm that works with implicit feedback and balances exploration and exploitation. We leverage existing learning to rank data sets and recently developed click models to evaluate the proposed algorithm. Our results show that finding a balance between exploration and exploitation can substantially improve online retrieval performance, bringing us one step closer to making online learning to rank work in practice.
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- 2011
27. Incorporating query expansion and quality indicators in searching microblog posts
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Massoudi, K., Tsagkias, M., de Rijke, M., Weerkamp, W., Clough, P., Foley, C., Gurrin, C., Jones, G.J.F., Kraaij, W., Lee, H., Murdoch, V., and Information and Language Processing Syst (IVI, FNWI)
- Subjects
Web search query ,Information retrieval ,Computer science ,Microblogging ,media_common.quotation_subject ,InformationSystems_INFORMATIONSTORAGEANDRETRIEVAL ,InformationSystems_DATABASEMANAGEMENT ,Query language ,computer.software_genre ,Query expansion ,Dynamic query ,Quality (business) ,Social media ,Data mining ,Language model ,computer ,media_common - Abstract
We propose a retrieval model for searching microblog posts for a given topic of interest. We develop a language modeling approach tailored to microblogging characteristics, where redundancy-based IR methods cannot be used in a straightforward manner. We enhance this model with two groups of quality indicators: textual and microblog specific. Additionally, we propose a dynamic query expansion model for microblog post retrieval. Experimental results on Twitter data reveal the usefulness of boolean search, and demonstrate the utility of quality indicators and query expansion in microblog search.
- Published
- 2011
28. Children’s everyday exposure to food marketing: an objective analysis using wearable cameras
- Author
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Signal, L. N., primary, Stanley, J., additional, Smith, M., additional, Barr, M. B., additional, Chambers, T. J., additional, Zhou, J., additional, Duane, A., additional, Gurrin, C., additional, Smeaton, A. F., additional, McKerchar, C., additional, Pearson, A. L., additional, Hoek, J., additional, Jenkin, G. L. S., additional, and Ni Mhurchu, C., additional
- Published
- 2017
- Full Text
- View/download PDF
29. Insight Centre for Data Analytics (DCU) at TRECVid 2014: instance search and semantic indexing tasks
- Author
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Mcguinness, K., Mohedano, E., Zhang, Z., Feiyan Hu, Albatal, R., Gurrin, C., O Connor, N. E., Smeaton, A. F., Salvador, A., Giró-I-Nieto, X., Ventura, C., Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions, and Universitat Politècnica de Catalunya. GPI - Grup de Processament d'Imatge i Vídeo
- Subjects
Signal processing ,Digital video ,Pattern recognition systems ,Enginyeria de la telecomunicació::Processament del senyal::Processament de la imatge i del senyal vídeo [Àrees temàtiques de la UPC] ,Image processing ,So, imatge i multimèdia::Creació multimèdia::Vídeo digital [Àrees temàtiques de la UPC] ,Web semàntica ,Semàntica computacional ,Vídeo digital ,Machine learning ,Information retrieval ,Reconeixement de formes (Informàtica) ,Semantic computing ,Multimedia systems ,Semantic Web - Abstract
Insight-DCU participated in the instance search (INS) and semantic indexing (SIN) tasks in 2014. Two very different approaches were submitted for instance search, one based on features extracted using pre-trained deep convolutional neural networks (CNNs), and another based on local SIFT features, large vocabulary visual bag-of-words aggregation, inverted index-based lookup, and geometric verification on the top-N retrieved results. Two interactive runs and two automatic runs were submitted, the best interactive runs achieved a mAP of 0.135 and the best automatic 0.12. Our semantic indexing runs were based also on using convolutional neural network features, and on Support Vector Machine classifiers with linear and RBF kernels. One run was submitted to the main task, two to the no annotation task, and one to the progress task. Data for the no-annotation task was gathered from Google Images and ImageNet. The main task run has achieved a mAP of 0.086, the best no-annotation runs had a close performance to the main run by achieving a mAP of 0.080, while the progress run had 0.043.
- Published
- 2014
30. TRECVid 2011 Experiments at Dublin City University
- Author
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Scott, D., Guo, J., Foley, C., Frank Hopfgartner, Gurrin, C., and Smeaton, A. F.
- Subjects
Information retrieval ,Multimedia systems ,Algorithms - Abstract
This year the iAd-DCU team participated in three of the assigned TRECVid 2011 tasks; Semantic Indexing (SIN), Interactive Known-Item Search (KIS) and Multimedia Event Detection (MED). For the SIN task we presented three full runs using global features, local features and fusion\ud of global, local features and relationships between concepts respectively. The evaluation results show that local features achieve better performance, with marginal gains found when introducing global features and relationships between concepts. With regard to our KIS submission, similar to our 2010 KIS experiments, we have implemented an iPad interface to a KIS video search tool.\ud The aim of this year’s experimentation was to evaluate different display methodologies for KIS interaction. For this work, we integrate a clustering element for keyframes, which operates over MPEG-7 features using k-means clustering. In addition, we employ concept detection, not simply for search, but as a means of choosing most representative keyframes for ranked items. For our\ud experiments we compare the baseline non-clustering system to a clustering system on a topic by topic basis. Finally, for the first time this year the iAd group at DCU has been involved in the MED Task. Two techniques are compared, employing low-level features directly and using concepts as\ud intermediate representations. Evaluation results show promising initial results when performing event detection using concepts as intermediate representations.
- Published
- 2012
31. ReFER: Effective Relevance Feedback for Entity Ranking
- Author
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Iofciu, T., Demartini, Gianluca, Craswell, N., Vries, Arjen, Clough, P., Foley, C., Gurrin, C., Jones, G.J.F., Kraaij, Wessel, Lee, Hyowon, Murdock, V., and Human-Centered Data Analytics
- Published
- 2011
32. Preface (editorial)
- Author
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Gurrin, C., Clough, P., Jones, G.J.F., Kraaij, W., and Murdoch, V.
- Published
- 2011
33. Are semantically related links effective for retrieval?
- Author
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Koolen, M., Kamps, J., Clough, P., Foley, C., Gurrin, C., Jones, G.J.F., Kraaij, W., Lee, H., Murdoch, V., Language and Computation (ILLC, FNWI/FGw), and ILLC (FGw)
- Subjects
Structure (mathematical logic) ,Information retrieval ,Semantic similarity ,Computer science ,Learning to rank ,Link (knot theory) ,Category structure - Abstract
Why do links work? Link-based ranking algorithms are based on the often implicit assumption that linked documents are semantically related to each other, and that link information is therefore useful for retrieval. Although the benefits of link information are well researched, this underlying assumption on why link evidence works remains untested, and the main aim of this paper is to do exactly that. Specifically, we use Wikipedia because it has a dense link structure in combination with a large category structure, which allows for an independent measurement of the semantic relatedness of linked documents. Our main findings are that: 1) global, query-independent link evidence, is not affected by the semantic nature of the links, and 2) for local, query-dependent link evidence, the effectiveness of links increases as their semantic distance decreases. That is, we directly observe that links between semantically related pages are more effective for ad hoc retrieval than links between unrelated ones. These findings confirm and quantify the underlying assumption of existing link-based methods, which sheds further light on our understanding of the nature of link evidence. Such deeper understanding is instrumental for the development of novel link-based methods.
- Published
- 2011
34. How different are language models and word clouds?
- Author
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Kaptein, R., Hiemstra, D., Kamps, J., Gurrin, C., He, Y., Kazai, G., Kruschwitz, U., Little, S., Roelleke, T., Rüger, S., van Rijsbergen, K., Databases (Former), Language and Computation (ILLC, FNWI/FGw), and ILLC (FGw)
- Subjects
Scheme (programming language) ,METIS-271094 ,Computer science ,business.industry ,Bigram ,05 social sciences ,EWI-18654 ,02 engineering and technology ,computer.software_genre ,Weighting ,Query expansion ,020204 information systems ,IR-74078 ,0202 electrical engineering, electronic engineering, information engineering ,Language model ,Artificial intelligence ,0509 other social sciences ,Tag cloud ,050904 information & library sciences ,tf–idf ,business ,computer ,Word (computer architecture) ,Natural language processing ,computer.programming_language - Abstract
Word clouds are a summarised representation of a document’s text, similar to tag clouds which summarise the tags assigned to documents. Word clouds are similar to language models in the sense that they represent a document by its word distribution. In this paper we investigate the differences between word cloud and language modelling approaches, and specifically whether effective language modelling techniques also improve word clouds. We evaluate the quality of the language model using a system evaluation test bed, and evaluate the quality of the resulting word cloud with a user study. Our experiments show that different language modelling techniques can be applied to improve a standard word cloud that uses a TF weighting scheme in combination with stopword removal. Including bigrams in the word clouds and a parsimonious term weighting scheme are the most effective in both the system evaluation and the user study.
- Published
- 2010
35. News Comments:Exploring, Modeling, and Online Prediction
- Author
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Tsagkias, M., Weerkamp, W., de Rijke, M., Gurrin, C., He, Y., Kazai, G., Kruschwitz, U., Little, S., Roelleke, T., Rüger, S., van Rijsbergen, K., and Information and Language Processing Syst (IVI, FNWI)
- Subjects
World Wide Web ,Information retrieval ,Computer science ,Volume (computing) ,Space (commercial competition) - Abstract
Online news agents provide commenting facilities for their readers to express their opinions or sentiments with regards to news stories. The number of user supplied comments on a news article may be indicative of its importance, interestingness, or impact. We explore the news comments space, and compare the log-normal and the negative binomial distributions for modeling comments from various news agents. These estimated models can be used to normalize raw comment counts and enable comparison across different news sites. We also examine the feasibility of online prediction of the number of comments, based on the volume observed shortly after publication. We report on solid performance for predicting news comment volume in the long run, after short observation. This prediction can be useful for identifying news stories with the potential to "take off," and can be used to support front page optimization for news sites.
- Published
- 2010
36. An Empirical Study of Query Specificity
- Author
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Arampatzis, A., Kamps, J., Gurrin, C., He, Y., Kazai, G., Kruschwitz, U., Little, S., Roelleke, T., Rüger, S., van Rijsbergen, K., Language and Computation (ILLC, FNWI/FGw), and ILLC (FGw)
- Subjects
Information retrieval ,Computer science ,Computer Science::Information Retrieval ,InformationSystems_INFORMATIONSTORAGEANDRETRIEVAL ,InformationSystems_DATABASEMANAGEMENT ,Online aggregation ,computer.software_genre ,Query optimization ,Ranking (information retrieval) ,Spatial query ,Query expansion ,Web query classification ,Sargable ,Data mining ,computer ,Computer Science::Databases ,Boolean conjunctive query - Abstract
We analyse the statistical behavior of query-associated quantities in query-logs, namely, the sum and mean of IDF of query terms, otherwise known as query specificity and query mean specificity. We narrow down the possibilities for modeling their distributions to gamma, log-normal, or log-logistic, depending on query length and on whether the sum or the mean is considered. The results have applications in query performance prediction and artificial query generation.
- Published
- 2010
37. Category-Based Query Modeling for Entity Search
- Author
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Balog, K., Bron, M., de Rijke, M., Gurrin, C., He, Y., Kazai, G., Kruschwitz, U., Little, S., Roelleke, T., Rüger, S., van Rijsbergen, K., and Information and Language Processing Syst (IVI, FNWI)
- Subjects
Query expansion ,Focus (computing) ,Information retrieval ,Web search query ,Ranking ,Computer science ,Representation (systemics) ,Term (time) ,Ranking (information retrieval) - Abstract
Users often search for entities instead of documents and in this setting are willing to provide extra input, in addition to a query, such as category information and example entities. We propose a general probabilistic framework for entity search to evaluate and provide insight in the many ways of using these types of input for query modeling. We focus on the use of category information and show the advantage of a category-based representation over a term-based representation, and also demonstrate the effectiveness of category-based expansion using example entities. Our best performing model shows very competitive performance on the INEX-XER entity ranking and list completion tasks.
- Published
- 2010
38. Tag relatedness using Laplacian score feature selection and adapted Jensen-Shannon divergence
- Author
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Gurrin, C, Hopfgartner, F, Hurst, W, Johansen, H, Lee, H, O’Connor, N, Mousselly-Sergieh, H, Döller, M, Egyed-Zsigmond, E, Gianini, G, Kosch, H, Pinon, J, Pinon, JM, Gurrin, C, Hopfgartner, F, Hurst, W, Johansen, H, Lee, H, O’Connor, N, Mousselly-Sergieh, H, Döller, M, Egyed-Zsigmond, E, Gianini, G, Kosch, H, Pinon, J, and Pinon, JM
- Abstract
Folksonomies - networks of users, resources, and tags allow users to easily retrieve, organize and browse web contents. However, their advantages are still limited according to the noisiness of user provided tags. To overcome this problem, we propose an approach for identifying related tags in folksonomies. The approach uses tag co-occurrence statistics and Laplacian score feature selection to create probability distribution for each tag. Consequently, related tags are determined according to the distance between their distributions. In this regards, we propose a distance metric based on Jensen-Shannon Divergence. The new metric named AJSD deals with the noise in the measurements due to statistical fluctuations in tag co-occurrences. We experimentally evaluated our approach using WordNet and compared it to a common tag relatedness approach based on the cosine similarity. The results show the effectiveness of our approach and its advantage over the adversary method.
- Published
- 2014
39. Prevalent and Incident Bacterial Vaginosis Are Associated with Sexual and Contraceptive Behaviours in Young Australian Women
- Author
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Bradshaw, CS, Walker, J, Fairley, CK, Chen, MY, Tabrizi, SN, Donovan, B, Kaldor, JM, Mcnamee, K, Urban, E, Walker, S, Currie, MJ, Birden, H, Bowden, F, Garland, SM, Pirotta, M, Gurrin, C, Hocking, JS, Bradshaw, CS, Walker, J, Fairley, CK, Chen, MY, Tabrizi, SN, Donovan, B, Kaldor, JM, Mcnamee, K, Urban, E, Walker, S, Currie, MJ, Birden, H, Bowden, F, Garland, SM, Pirotta, M, Gurrin, C, and Hocking, JS
- Abstract
BACKGROUND: To determine prevalence and incidence of bacterial vaginosis (BV) and risk factors in young sexually-active Australian women.METHODS: 1093 women aged 16-25 years were recruited from primary-care clinics. Participants completed 3-monthly questionnaires and self-collected vaginal smears 6-monthly for 12-months. The primary endpoint was a Nugent Score = 7-10 (BV) and the secondary endpoint was a NS = 4-10 (abnormal flora [AF]). BV and AF prevalence estimates and 95% confidence intervals (95%CI) were derived, and adjusted odds ratios (AOR) calculated to explore epidemiological associations with prevalent BV and AF. Proportional-hazards regression models were used to examine factors associated with incident BV and AF.RESULTS: At baseline 129 women had BV [11.8% (95%CI: 9.4-14.2)] and 188 AF (17.2%; 15.1-19.5). Prevalent BV was associated with having a recent female partner [AOR = 2.1; 1.0-4.4] and lack of tertiary-education [AOR = 1.9; 1.2-3.0]; use of an oestrogen-containing contraceptive (OCC) was associated with reduced risk [AOR = 0.6; 0.4-0.9]. Prevalent AF was associated with the same factors, and additionally with >5 male partners (MSP) in 12-months [AOR = 1.8; 1.2-2.5)], and detection of or [AOR = 2.1; 1.0-4.5]. There were 82 cases of incident BV (9.4%;7.7-11.7/100 person-years) and 129 with incident AF (14.8%; 12.5-17.6/100 person-years). Incident BV and AF were associated with a new MSP [adjusted rate ratio (ARR) = 1.5; 1.1-2.2 and ARR = 1.5; 1.1-2.0], respectively. OCC-use was associated with reduced risk of incident AF [ARR = 0.7; 0.5-1.0].CONCLUSION: This paper presents BV and AF prevalence and incidence estimates from a large prospective cohort of young Australian women predominantly recruited from primary-care clinics. These data support the concept that sexual activity is strongly associated with the development of BV and AF
- Published
- 2013
40. Back to the roots : mean-variance analysis of relevance estimations
- Author
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Lee, H, Foley, C, Jones, G, Clough, P, Gurrin, C, Kraaij, W, Murdock, V, Zuccon, Guido, Azzopardi, Leif, Rijsbergen van, Keith, Lee, H, Foley, C, Jones, G, Clough, P, Gurrin, C, Kraaij, W, Murdock, V, Zuccon, Guido, Azzopardi, Leif, and Rijsbergen van, Keith
- Abstract
Recently, mean-variance analysis has been proposed as a novel paradigm to model document ranking in Information Retrieval. The main merit of this approach is that it diversifies the ranking of retrieved documents. In its original formulation, the strategy considers both the mean of relevance estimates of retrieved documents and their variance. How- ever, when this strategy has been empirically instantiated, the concepts of mean and variance are discarded in favour of a point-wise estimation of relevance (to replace the mean) and of a parameter to be tuned or, alternatively, a quantity dependent upon the document length (to replace the variance). In this paper we revisit this ranking strategy by going back to its roots: mean and variance. For each retrieved document, we infer a relevance distribution from a series of point-wise relevance estimations provided by a number of different systems. This is used to compute the mean and the variance of document relevance estimates. On the TREC Clueweb collection, we show that this approach improves the retrieval performances. This development could lead to new strategies to address the fusion of relevance estimates provided by different systems.
- Published
- 2011
41. Topical and structural linkage in Wikipedia
- Author
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Lee, H, Foley, C, Jones, G J F, Clough, P, Gurrin, C, Kraaij, W, Murdoch, V, Itakura, Kalista, Clarke, Charles, Geva, Shlomo, Trotman, Andrew, Huang, Wei Chi, Lee, H, Foley, C, Jones, G J F, Clough, P, Gurrin, C, Kraaij, W, Murdoch, V, Itakura, Kalista, Clarke, Charles, Geva, Shlomo, Trotman, Andrew, and Huang, Wei Chi
- Published
- 2011
42. ReFER: Effective Relevance Feedback for Entity Ranking
- Author
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Clough, P., Foley, C., Gurrin, C., Jones, G.J.F., Kraaij, W. (Wessel), Lee, H. (Hyowon), Murdock, V., Iofciu, T., Demartini, G. (Gianluca), Craswell, N., Vries, A.P. (Arjen) de, Clough, P., Foley, C., Gurrin, C., Jones, G.J.F., Kraaij, W. (Wessel), Lee, H. (Hyowon), Murdock, V., Iofciu, T., Demartini, G. (Gianluca), Craswell, N., and Vries, A.P. (Arjen) de
- Published
- 2011
43. Using the quantum probability ranking principle to rank interdependent documents
- Author
-
He, Y, Kazai, G, Ruger, S, Gurrin, C, Little, S, Roelleke, T, Kruschwitz, U, van Rijsbergen, K, Zuccon, Guido, Azzopardi, Leif, He, Y, Kazai, G, Ruger, S, Gurrin, C, Little, S, Roelleke, T, Kruschwitz, U, van Rijsbergen, K, Zuccon, Guido, and Azzopardi, Leif
- Abstract
A known limitation of the Probability Ranking Principle (PRP) is that it does not cater for dependence between documents. Recently, the Quantum Probability Ranking Principle (QPRP) has been proposed, which implicitly captures dependencies between documents through “quantum interference”. This paper explores whether this new ranking principle leads to improved performance for subtopic retrieval, where novelty and diversity is required. In a thorough empirical investigation, models based on the PRP, as well as other recently proposed ranking strategies for subtopic retrieval (i.e. Maximal Marginal Relevance (MMR) and Portfolio Theory(PT)), are compared against the QPRP. On the given task, it is shown that the QPRP outperforms these other ranking strategies. And unlike MMR and PT, one of the main advantages of the QPRP is that no parameter estimation/tuning is required; making the QPRP both simple and effective. This research demonstrates that the application of quantum theory to problems within information retrieval can lead to significant improvements.
- Published
- 2010
44. A case for automatic system evaluation
- Author
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Gurrin, C., Hauff, C., Hiemstra, D., Azzopardi, L., Jong, F. de, Gurrin, C., Hauff, C., Hiemstra, D., Azzopardi, L., and Jong, F. de
- Abstract
ECIR 2010, Item does not contain fulltext
- Published
- 2010
45. Beyond shot retrieval: Searching for broadcast news items using language models of concepts
- Author
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Gurrin, C., Aly, R., Doherty, A, Hiemstra, D., Smeaton, A., Gurrin, C., Aly, R., Doherty, A, Hiemstra, D., and Smeaton, A.
- Abstract
ECIR 2010, Item does not contain fulltext
- Published
- 2010
46. How different are language models and word clouds?
- Author
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Gurrin, C., Kaptein, R., Hiemstra, D., Kamps, J., Gurrin, C., Kaptein, R., Hiemstra, D., and Kamps, J.
- Abstract
ECIR 2010, Item does not contain fulltext
- Published
- 2010
47. Query performance prediction: Evaluation contrasted with effectiveness
- Author
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Gurrin, C., Hauff, C., Azzopardi, L., Hiemstra, D., Jong, F. de, Gurrin, C., Hauff, C., Azzopardi, L., Hiemstra, D., and Jong, F. de
- Abstract
ECIR 2010, Item does not contain fulltext
- Published
- 2010
48. A content-based retrieval system for UAV-like video and associated metadata
- Author
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O'Connor, N. E., primary, Duffy, T., additional, Ferguson, P., additional, Gurrin, C., additional, Lee, H., additional, Sadlier, D. A., additional, Smeaton, A. F., additional, and Zhang, K., additional
- Published
- 2008
- Full Text
- View/download PDF
49. Architecture and challenges of maintaining a large-scale, context-aware human digital memory
- Author
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Gurrin, C., primary, Byrne, D., additional, O'Connor, N., additional, Jones, G.J.F., additional, and Smeaton, A.F., additional
- Published
- 2008
- Full Text
- View/download PDF
50. Identifying person re-occurrences for personal photo management applications
- Author
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Cooray, S., primary, O'Connor, N.E., additional, Gurrin, C., additional, Jones, G.J.F., additional, O'Hare, N., additional, and Smeaton, A.F., additional
- Published
- 2006
- Full Text
- View/download PDF
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