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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 Hits 1 – 7 of 7 1 COVID-19 and cyberbullying: deep ensemble model to identify cyberbullying from code-switched languages during the pandemic Paul, Sayanta; Saha, Sriparna; Singh, Jyoti Prakash In: Multimed Tools Appl (2022) BASE Show details 2 Incorporating deep visual features into multiobjective based multi-view search results clustering Mitra, Sayantan; Hasanuzzaman, Mohammed; Saha, Sriparna; Way, Andy In: Mitra, Sayantan, Hasanuzzaman, Mohammed orcid:0000-0003-1838-0091 , Saha, Sriparna and Way, Andy orcid:0000-0001-5736-5930 (2018) Incorporating deep visual features into multiobjective based multi-view search results clustering. In: 27th International Conference on Computational Linguistics, 20-26 Aug 2018, Santa Fe, NM, USA. (2018) Abstract: Current paper explores the use of multi-view learning for search result clustering. A web-snippet can be represented using multiple views. Apart from textual view cued by both the semantic and syntactic information, a complementary view extracted from images contained in the websnippets is also utilized in the current framework. A single consensus partitioning is finally obtained after consulting these two individual views by the deployment of a multi-objective based clustering technique. Several objective functions including the values of a cluster quality measure evaluating the goodness of partitionings obtained using different views and an agreementdisagreement index, quantifying the amount of oneness among multiple views in generating partitionings are optimized simultaneously using AMOSA. In order to detect the number of clusters automatically, concepts of variable length solutions and a vast range of permutation operators are introduced in the clustering process. Finally a set of alternative partitionings are obtained on the final Pareto front by the proposed multi-view based multi-objective technique. Experimental results by the proposed approach on several bench-mark test datasets with respect to different performance metrics evidently establish the power of visual and text based views in achieving better search result clustering. Keyword: Machine translating URL: http://doras.dcu.ie/23349/ BASE Hide details 3 Temporal orientation of tweets for predicting income of users Saha, Sriparna; Ekbal, Asif; Hasanuzzaman, Mohammed... In: Hasanuzzaman, Mohammed orcid:0000-0003-1838-0091 , Kamila, Sabyasachi, Kaur, Mandeep, Saha, Sriparna and Ekbal, Asif (2017) Temporal orientation of tweets for predicting income of users. In: 55th Annual Meeting of the Association for Computational Linguistics, 30 Jul - 4 Aug 2017, Vancouver, Canada. (2017) BASE Show details 4 Multi-Objective Search Results Clustering Acharya, Sudipta; Saha, Sriparna; Moreno, José G.... In: 25th International Conference on Computational Linguistics (COLING 2014) ; https://hal.archives-ouvertes.fr/hal-01077207 ; 25th International Conference on Computational Linguistics (COLING 2014), Aug 2014, dublin, Ireland. pp.99 - 108 (2014) BASE Show details 5 Multiobjective optimization for classifier ensemble and feature selection: an application to named entity recognition Ekbal, Asif; Saha, Sriparna In: International journal on document analysis and recognition. - Berlin ; Heidelberg : Springer 15 (2012) 2, 143-166 OLC Linguistik Show details 6 Classifier ensemble selection using genetic algorithm for named entity recognition Saha, Sriparna; Ekbal, Asif In: Research on language and computation. - London : King's College 8 (2010) 1, 73-99 BLLDB OLC Linguistik Show details 7 A new point symmetry based fuzzy genetic clustering technique for automatic evolution of clusters Saha, Sriparna; Bandyopadhyay, Sanghamitra In: Information sciences. - New York, NY : Elsevier Science Inc. 179 (2009) 19, 3230-3246 OLC Linguistik Show details

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