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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 3 Hits 1 – 20 of 54 1 Methods, Models and Tools for Improving the Quality of Textual Annotations Maria Teresa Artese; Isabella Gagliardi In: Modelling; Volume 3; Issue 2; Pages: 224-242 (2022) BASE Show details 2 Context-Aware Automatic Sign Language Video Transcription in Psychiatric Interviews Erion-Vasilis Pikoulis; Aristeidis Bifis; Maria Trigka; Constantinos Constantinopoulos; Dimitrios Kosmopoulos In: Sensors; Volume 22; Issue 7; Pages: 2656 (2022) BASE Show details 3 Two New Datasets for Italian-Language Abstractive Text Summarization Nicola Landro; Ignazio Gallo; Riccardo La Grassa; Edoardo Federici In: Information; Volume 13; Issue 5; Pages: 228 (2022) BASE Show details 4 Dataset diversity: measuring and mitigating geographical bias in image search and retrieval Mandal, Abhishek; Leavy, Susan; Little, Suzanne In: Mandal, Abhishek, Leavy, Susan and Little, Suzanne orcid:0000-0003-3281-3471 (2021) Dataset diversity: measuring and mitigating geographical bias in image search and retrieval. In: 1st International Workshop on Trustworthy AI for Multimedia Computing, 24 Oct 2021, Chengdu, China. ISBN 978-1-4503-8674-6 (2021) Abstract: Many popular visual datasets used to train deep neural networks for computer vision applications, especially for facial analytics, are created by retrieving images from the internet. Search engines are often used to perform this task. However, due to localisation and personalisation of search results by the search engines along with the image indexing method used by these search engines, the resultant images overrepresent the demographics of the region from where they were queried from. As most of the visual datasets are created in western countries, they tend to have a western centric bias and when these datasets are used to train deep neural networks, they tend to inherit these biases. Researchers studying the issue of bias in visual datasets have focused on the racial aspect of these biases. We approach this from a geographical perspective. In this paper, we 1) study how linguistic variations in search queries and geographical variations in the querying region affect the social and cultural aspects of retrieved images focusing on facial analytics, 2) explore how geographical bias in image search and retrieval can cause racial, cultural and stereotypical bias in visual datasets and 3) propose methods to mitigate such biases. Keyword: Artificial intelligence; computer vision fairness; dataset bias; image search and retrieval; Information retrieval; visual datasets URL: http://doras.dcu.ie/26268/ BASE Hide details 5 A Multilingual Dataset for Named Entity Recognition, Entity Linking and Stance Detection in Historical Newspapers Hamdi, Ahmed; Linhares Pontes, Elvys; Boros, Emanuela... In: SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval ; https://hal.archives-ouvertes.fr/hal-03418387 ; SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, Jul 2021, Virtual Event, Canada. pp.2328-2334, ⟨10.1145/3404835.3463255⟩ (2021) BASE Show details 6 Catalogue records of photographs (1850-1950) ... British Library. - : British Library, 2021 BASE Show details 7 Leveraging literals for knowledge graph embeddings ... Gesese, Genet Asefa. - : CEUR-WS.org, 2021 BASE Show details 8 Outlier Recognition via Linguistic Aggregation of Graph Databases Adam Niewiadomski; Agnieszka Duraj; Monika Bartczak In: Applied Sciences ; Volume 11 ; Issue 16 (2021) BASE Show details 9 Introducing Various Semantic Models for Amharic: Experimentation and Evaluation with Multiple Tasks and Datasets Seid Muhie Yimam; Abinew Ali Ayele; Gopalakrishnan Venkatesh... In: Future Internet ; Volume 13 ; Issue 11 (2021) BASE Show details 10 Machine Translation in Low-Resource Languages by an Adversarial Neural Network Mengtao Sun; Hao Wang; Mark Pasquine; Ibrahim A. Hameed In: Applied Sciences; Volume 11; Issue 22; Pages: 10860 (2021) BASE Show details 11 Outreach programme to strengthen the AI4D network : final technical report Orlic, Davor. - 2021 BASE Show details 12 Official database versions ... Norris, Mark. - : Open Science Framework, 2021 BASE Show details 13 Conctypo database (version 0) ... Norris, Mark. - : Open Science Framework, 2021 BASE Show details 14 Conctypo database (version 1) ... Norris, Mark. - : Open Science Framework, 2021 BASE Show details 15 Leveraging literals for knowledge graph embeddings Gesese, Genet Asefa In: ISSN: 1613-0073 (2021) BASE Show details 16 Comparing Methods for Automatic Identification of Mislabeled Data Sweeney, Jessica. - 2021 BASE Show details 17 KidSpell: A Child-Oriented, Rule-Based, Phonetic Spellchecker Downs, Brody; Anuyah, Oghenemaro; Shukla, Aprajita... In: Computer Science Faculty Publications and Presentations (2020) BASE Show details 18 SSHOC Workshop: Sharing Datasets of Pathological Speech ... Heuvel, Henk Van Den; Bessell, Nicola; Trilsbeek, Paul. - : Zenodo, 2020 BASE Show details 19 SSHOC Workshop: Sharing Datasets of Pathological Speech ... Heuvel, Henk Van Den; Bessell, Nicola; Trilsbeek, Paul. - : Zenodo, 2020 BASE Show details 20 SSHOC Workshop: Sharing Datasets of Pathological Speech ... Heuvel, Henk Van Den; Bessell, Nicola; Trilsbeek, Paul. - : Zenodo, 2020 BASE Show details Page: 1 2 3

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