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Integrated First Degree

B.E.(Biotechnology)
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B.E.(Electrical and Electronics)
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Sujith Thomas

goa Computer Science & Information Systems

Assistant Professor

D-158, Computer Science and Information Systems,
BITS Pilani K K Birla Goa Campus,
South Goa, India.
PIN - 403 726
sujitht@goa.bits-pilani.ac.in
+91-832-2580-226
https://www.linkedin.com/in/sujith-thomas-501814b

Publications

  1. Parthasarathy PD, Ishaan Kapoor, Swaroop Joshi and Sujith Thomas. (2024). Influence of Personality Traits on Plagiarism Through Collusion in Programming Assignments. 20th ACM Conference on International Computing Education Research (ICER). CORE: A. [WWW]
  2. Suhas Ankalkhope, Sandeep Jose and Sujith Thomas. (2024). Probe maps for the exploration of localized metastable states and prediction of peak load-carrying capacity of axially compressed cylindrical shells. Thin-Walled Structures. Scimago : Q1, SJR '22 : 1.43, SNIP '22 : 1.97 . [WWW]
  3. Sujith Thomas and Narayanan Srinivasan. (2022). Accurate knowledge about feature diagnosticities leads to less preference for unidimensional strategy. Journal of Experimental Psychology : Learning, Memory and Cognition. Scimago : Q1, SJR '22 : 1.17, SNIP '22 : 1.22 . [Summary] [PDF] [WWW]
  4. Sujith Thomas and Narayanan Srinivasan. (2022). Integration Across Levels of Information Processing: A Case Study with Visual Category Learning. In: Tripathi, R., Kar, B.R., Pande, N. (Eds.), Towards an Integrative Psychological Science: Issues, Approaches and Applications. Springer, Singapore . (Book chapter) [PDF] [WWW]
  5. Sujith Thomas, Aditya Kapoor and Narayanan Srinivasan. (2021). Supervised category learning: When do participants use a partially diagnostic feature? Proceedings of the 43rd Annual Conference of the Cognitive Science Society (pp. 1313--1319). Cognitive Science Society. CORE: A. [WWW]
  6. Chinmay Chiplunkar, Nishant Gautam, Ishita Mediratta, Andrew Gait, Sujith Thomas, Andrew Rowley, Teresa Serrano-Gotarredona and Basabdatta Sen-Bhattacharya (2021). A reduced-scale cortical network with Izhikevich's neurons on SpiNNaker, The International Joint Conference on Neural Networks. CORE:B.
  7. Sujith Thomas and Narayanan Srinivasan. (2020). Better learning of partially diagnostic features leads to less unidimensional categorization in supervised category learning. In S. Denison., M. Mack, Y. Xu, & B.C. Armstrong (Eds.), Proceedings of the 42nd Annual Conference of the Cognitive Science Society (pp. 3444--3450). Cognitive Science Society. CORE: A. [PDF]
  8. Sujith Thomas, Aditya Kapoor and Narayanan Srinivasan. (2020). Effect of a colour-based descriptor and stimuli presentation mode in unsupervised categorization. In S. Denison., M. Mack, Y. Xu, & B.C. Armstrong (Eds.), Proceedings of the 42nd Annual Conference of the Cognitive Science Society (p. 3531). Cognitive Science Society. CORE: A.
  9. Sujith Thomas and Harish Karnick (2016). Factors Influencing Categorization Strategy in Visual Category Learning. In A. Papafragou, D. Grodner, D. Mirman, & J.C. Trueswell (Eds.), Proceedings of the 38th Annual Conference of the Cognitive Science Society (pp. 596--601). Cognitive Science Society. CORE: A.
  10. Sujith Thomas and Harish Karnick (2015). The effects of category entropy, defining feature saliency and response time limit on category learning. In The Second Annual Conference on Cognitive Science (ACCS), Kanpur, India.
  11. Sujith Thomas and Harish Karnick (2014). Is word generalization for novel concepts modeled by similarity or by formal concepts? In COGNITIVE 2014, The Sixth International Conference on Advanced Cognitive Technologies and Applications, 274--280, Venice, Italy.

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