Shantipriya Parida

office
423
office hours
9AM - 6PM
email
parida@ufal.mff.cuni.cz
address
Malostranské náměstí 25
118 00 Praha 1
Czech Republic

Main Research Interests

NLP, Deep Learning, Neural Machine Translation, Machine Learning, Computational NeuroScience

Selected Bibliography

Conference

  • S. Parida, O. Bojar. “Translating Short Segments with NMT: A Case Study in English-to-Hindi”. In Proceedings of the 21st Annual Conference of the European Association for Machine Translation, p. 229–238 Alacant, Spain, May 2018.
  • S. Parida, S. Dehuri & S.-B. Cho. “Neuro-Fuzzy Ensembler for Cognitive States Classification”, Advance Computing Conference (IACC 2014), pp. 1243-1247, IEEE, 2014.
  • S. Parida, S. Dehuri & S.-B. Cho. "Application of Genetic Algorithms and Gaussian Bayesian Approach in Pipeline for Cognitive State Classification”, Advance Computing Conference (IACC 2014), pp. 1237-1242, IEEE, 2014.
  • S.Parida & S. Dehuri. “A Review of Hybrid Techniques based on Machine Learning Approach in Cognitive Classification”, Soft Computing for Problem Solving (SocPros 2012), Springer AISC, vol. 236, pp. 659-666, 2014.
  • S. Parida, S. Dehuri & G.-N. Wang. “Genetic Algorithms Based Feature Selection for Cognitive State Classification Using Ensemble of Decision Trees”, In Proceedings of the International Conference on Vibration Problems (ICOVP 2013), pp. 1-10, 2013.
  • S. Parida & S. Dehuri. “A Study of Feature Selection Techniques for fMRI based  State Classification”, Advancements in the Era of Multi-Disciplinary Systems(AEMDS 2013), pp. 500-507, Elsevier, 2013.

Journal

  • L. A. Cacha, S. Parida, S. Dehuri, S. B. Cho, & R. R. Poznanski, "A fuzzy integral method based on the ensemble of neural networks to analyze fMRI data for cognitive state classification across multiple subjects". Journal of integrative neuroscience, 15(04), 593-606, 2016.
  • S. Parida, S. Dehuri & S.-B. Cho. “Machine Learning Approaches for Cognitive State Classification and Brain Activity Prediction: A Survey”, Current Bioinformatics, Bentham Science Publishers, vol. 10, pp. 344- 359, 2015.
  • S. Parida, S. Dehuri, S.-B. Cho, L. A. Cacha, & R. R. Poznanski. “A Hybrid Method for Classifying Cognitive States from fMRI data”, Journal of Integrative Neuroscience, World Scientific, vol. 14, pp. 355-368, 2015.
  • S. Parida & S. Dehuri. “Review of fMRI Data Analysis: A Special Focus on Classification”, International Journal of E-Health and Medical Communications (IJEHMC), IGI Global, vol. 5, pp. 1-26, 2014.
  • S. Parida & S. Dehuri. “Applying Machine Learning Techniques for Cognitive State Classification”, International Journal of Computer Applications (IJCA), pp. 40-45, 2013.
  • Gupta, R, & S. Parida. “Challenges and Opportunities: Mobile Broadband”, International Journal of Future Computer and Communication, vol. 2, no. 6, pp. 660, IACSIT Press, 2013.

Personal home page

https://www.shantipriya.me/