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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... 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) BASE Show 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.; Dias, Gaël 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) Abstract: International audience ; Most web search results clustering (SRC) strategies have predominantly studied the definition of adapted representation spaces to the detriment of new clustering techniques to improve perfor-mance. In this paper, we define SRC as a multi-objective optimization (MOO) problem to take advantage of most recent works in clustering. In particular, we define two objective functions (compactness and separability), which are simultaneously optimized using a MOO-based simu-lated annealing technique called AMOSA. The proposed algorithm is able to automatically detect the number of clusters for any query and outperforms all state-of-the-art text-based solutions in terms of F β -measure and F b 3 -measure over two gold standard data sets. Keyword: [INFO.INFO-TT]Computer Science [cs]/Document and Text Processing URL: https://hal.archives-ouvertes.fr/hal-01077207/file/ACTI-MORENO-2014-3.pdf https://hal.archives-ouvertes.fr/hal-01077207 https://hal.archives-ouvertes.fr/hal-01077207/document BASE Hide 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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