Tatiana Chakravorti

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 12

Top Topics

Lessons Learned

Strategic Information Systems Planning

Prediction Markets

Top Venues

Eng. Appl. Artif. Intell.

Publications

Chuhao Wu, Tatiana Chakravorti, John M. Carroll, Sarah Rajtmajer
Integrating measures of replicability into scholarly search: Challenges and opportunities. CHI (2024)
Pranav Narayanan Venkit, Tatiana Chakravorti, Vipul Gupta, Heidi Biggs, Mukund Srinath, Koustava Goswami, Sarah Rajtmajer, Shomir Wilson
"Confidently Nonsensical?": A Critical Survey on the Perspectives and Challenges of 'Hallucinations' in NLP. CoRR (2024)
Tatiana Chakravorti, Sai Dileep Koneru, Sarah Rajtmajer
Reproducibility, Replicability, and Transparency in Research: What 430 Professors Think in Universities across the USA and India. CoRR (2024)
Chuhao Wu, Tatiana Chakravorti, John M. Carroll, Sarah Rajtmajer
Integrating measures of replicability into literature search: Challenges and opportunities. CoRR (2023)
Tatiana Chakravorti, Robert Fraleigh, Timothy Fritton, Michael McLaughlin, Vaibhav Singh, Christopher Griffin, Anthony Kwasnica, David M. Pennock, C. Lee Giles, Sarah Rajtmajer
A Prototype Hybrid Prediction Market for Estimating Replicability of Published Work. HHAI (2023)
Tatiana Chakravorti, Robert Fraleigh, Timothy Fritton, Michael McLaughlin, Vaibhav Singh, Christopher Griffin, Anthony Kwasnica, David M. Pennock, C. Lee Giles, Sarah Rajtmajer
A prototype hybrid prediction market for estimating replicability of published work. CoRR (2023)
Tatiana Chakravorti, Chuhao Wu, Sai Dileep Koneru, Sarah Rajtmajer
Perspectives from India: Challenges and Opportunities for Computational Tools to Enhance Confidence in Published Research. CoRR (2023)
Tatiana Chakravorti, Vaibhav Singh, Sarah Rajtmajer, Michael McLaughlin, Robert Fraleigh, Christopher Griffin, Anthony Kwasnica, David M. Pennock, C. Lee Giles
Artificial Prediction Markets Present a Novel Opportunity for Human-AI Collaboration. AAMAS (2023)
Tatiana Chakravorti, Vaibhav Singh, Sarah Rajmajer, Michael McLaughlin, Robert Fraleigh, Christopher Griffin, Anthony Kwasnica, David M. Pennock, C. Lee Giles
Artificial prediction markets present a novel opportunity for human-AI collaboration. CoRR (2022)
Tatiana Chakravorti, Penke Satyanarayana
Non linear system identification using kernel based exponentially extended random vector functional link network. Appl. Soft Comput. 89 (2020)
Tatiana Chakravorti, Lipsa Priyadarshini, P. K. Dash, Badri Narayan Sahu
Islanding and non-islanding disturbance detection in microgrid using optimized modes decomposition based robust random vector functional link network. Eng. Appl. Artif. Intell. 85 (2019)
Tatiana Chakravorti, Rajesh Kumar Patnaik, Pradipta Kishore Dash
Detection and classification of islanding and power quality disturbances in microgrid using hybrid signal processing and data mining techniques. IET Signal Process. 12 (1) (2018)