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Publications

  1. [Under Review] Chakravorti, Tatiana, Chuhao Wu, Sai Koneru and Sarah Rajtmajer. “Perspectives from India: Challenges and Opportunities for Computational Tools to Enhance Confidence in Published Research.”.

  2. Chuhao Wu, Tatiana Chakravorti, and Sarah Rajtmajer. “Integrating measures of replicability into literature search: Challenges and opportunities”, Accepted to Proceedings of the SIGCHI Conference on Human Factors in Computing Systems 2024 (CHI 2024).

  3. Chakravorti, Tatiana, Robert Fraleigh, Timothy Fritton, Michael McLaughlin, Vaibhav Singh, Christopher Griffin, Anthony Kwasnica, David Pennock, C. Lee Giles, and Sarah Rajtmajer. "A Prototype Hybrid Prediction Market for Estimating Replicability of Published Work." In HHAI 2023: Augmenting Human Intellect, pp. 300-309. IOS Press, 2023.

  4. Chakravorti, Tatiana, Vaibhav Singh, Sarah Rajtmajer, Michael McLaughlin, Robert Fraleigh, Christopher Griffin, Anthony Kwasnica, David Pennock, and C. Lee Giles. "Artificial Prediction Markets Present a Novel Opportunity for Human-AI Collaboration." In Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, pp. 2304-2306. 2023.

  5. Chakravorti, Tatiana, Vinay Kumar Addala, and J. Shivam Verma. "Detection and classification of COVID 19 using convolutional neural network from chest X-ray images." In 2021 6th international conference for convergence in technology (I2CT), pp. 1-6. IEEE, 2021.

  6. Chakravorti, Tatiana, and Penke Satyanarayana. "Non-linear system identification using kernel-based exponentially extended random vector functional link network." Applied Soft Computing 89 (2020): 106117.

  7. Bisoi, Ranjeeta, Tatiana Chakravorti, and Nihar Ranjan Nayak. "A hybrid Hilbert Huang transform and improved fuzzy decision tree classifier for assessment of power quality disturbances in a grid-connected distributed generation system." International Journal of Power and Energy Conversion 11, no. 1 (2020): 60-81.

  8. Chakravorti, Tatiana, Lipsa Priyadarshini, P. K. Dash, and Badri Narayan Sahu. "Islanding and non-islanding disturbance detection in microgrid using optimized modes decomposition based robust random vector functional link network." Engineering Applications of Artificial Intelligence 85 (2019): 122-136.

  9. Chakravorti, Tatiana, N. R. Nayak, Ranjeeta Bisoi, P. K. Dash, and Lokanath Tripathy. "A new robust kernel ridge regression classifier for islanding and power quality disturbances in a multi-distributed generation based microgrid." Renewable Energy Focus 28 (2019): 78-99.

  10. Chakravorti, Tatiana, and Penke Satyanarayana. "Classification of power quality disturbances using adaptive variational mode decomposition based random vector functional link network." In 2019 IEEE Region 10 Symposium (TENSYMP), pp. 721-726. IEEE, 2019.

  11. Chakravorti, Tatiana, Rajesh Kumar Patnaik, and Pradipta Kishore Dash. "Detection and classification of islanding and power quality disturbances in microgrid using hybrid signal processing and data mining techniques." IET Signal Processing 12, no. 1 (2018): 82-94.

  12. Chakravorti, Tatiana, and Pradipta Kishore Dash. "Multiclass power quality events classification using variational mode decomposition with fast reduced kernel extreme learning machine‐based feature selection." IET Science, Measurement & Technology 12, no. 1 (2018): 106-117.

  13. Chakravorti, Tatiana, Rajesh Kumar Patnaik, and Praditpta Kishor Dash. "Advanced signal processing techniques for multiclass disturbance detection and classification in microgrids." IET Science, Measurement & Technology 11, no. 4 (2017): 504-515.

  14. Das, Debashreeta, Tatiana Chakravorti, and P. K. Dash. "Hilbert huang transform with fuzzy rules for feature selection and classification of power quality disturbances." In 2017 4th IEEE Uttar Pradesh Section International Conference on Electrical, Computer and Electronics (UPCON), pp. 439-445. IEEE, 2017.

  15. Nanda, Sarita, Tatiana Chakravorti, and P. K. Dash. "A new Taylor-LMS adaptive filter for parameter estimation of power signals including distributed generation systems." Australian Journal of Electrical and Electronics Engineering 13, no. 3 (2016): 174-194.

  16. Nanda, Sarita, P. K. Dash, Tatiana Chakravorti, and Shazia Hasan. "A quadratic polynomial signal model and fuzzy adaptive filter for frequency and parameter estimation of nonstationary power signals." Measurement 87 (2016): 274-293.

  17. Chakravorti, Tatiana, and P. K. Dash. "Morphology based fuzzy approach for detection & classification of simultaneous power quality disturbances." In 2016 IEEE Annual India Conference (INDICON), pp. 1-6. IEEE, 2016.

  18. Chakravorti, Tatiana, R. K. Patnaik, and P. K. Dash. "A morphological filter based disturbance detection and classification technique for DFIG wind farm based microgrid." In 2015 IEEE Power, Communication and Information Technology Conference (PCITC), pp. 979-985. IEEE, 2015.

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