Bhanu Prakash Reddy Guda

Orcid: 0000-0003-1073-0472

According to our database1, Bhanu Prakash Reddy Guda authored at least 11 papers between 2020 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
Diversity matters: Robustness of bias measurements in Wikidata.
Proceedings of the 15th ACM Web Science Conference 2023, 2023

2022
Quality Change: Norm or Exception? Measurement, Analysis and Detection of Quality Change in Wikipedia.
Proc. ACM Hum. Comput. Interact., 2022

Sentiment Analysis: Predicting Yelp Scores.
CoRR, 2022

Videos2Doc: Generating Documents from a Collection of Procedural Videos.
Proceedings of the IUI 2022: 27th International Conference on Intelligent User Interfaces, Helsinki, Finland, March 22 - 25, 2022, 2022

OPAD: An Optimized Policy-based Active Learning Framework for Document Content Analysis.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

Harmonized Banner Creation from Multimodal Design Assets.
Proceedings of the CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022, 2022

NeurTEx: A Neural Framework for Template Extraction from Flat Images.
Proceedings of the CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022, 2022

2021
When Expertise Gone Missing: Uncovering the Loss of Prolific Contributors in Wikipedia.
Proceedings of the Towards Open and Trustworthy Digital Societies, 2021

EmpathBERT: A BERT-based Framework for Demographic-aware Empathy Prediction.
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

2020
Goal-driven Command Recommendations for Analysts.
Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

NwQM: A neural quality assessment framework for Wikipedia.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020


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