Emaad Manzoor

Orcid: 0000-0003-3187-9719

Affiliations:
  • Cornell University, SC Johnson Graduate School of Management, USA
  • University of Wisconsin - Madison, WI, USA


According to our database1, Emaad Manzoor authored at least 14 papers between 2016 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2024
Influence via Ethos: On the Persuasive Power of Reputation in Deliberation Online.
Manag. Sci., 2024

2023
Designing Effective Music Excerpts.
CoRR, 2023

Does Machine Learning Amplify Pricing Errors in the Housing Market? - The Economics of Machine Learning Feedback Loops.
CoRR, 2023

2022
Causal Inference in Natural Language Processing: Estimation, Prediction, Interpretation and Beyond.
Trans. Assoc. Comput. Linguistics, 2022

Expanding Knowledge Graphs with Humans in the Loop.
CoRR, 2022

Status Biases in Deliberation Online: Evidence from a Randomized Experiment on ChangeMyView.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

2021
Uncovering Latent Biases in Text: Method and Application to Peer Review.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Expanding Taxonomies with Implicit Edge Semantics.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Detecting Attackable Sentences in Arguments.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2018
xStream: Outlier Detection in Feature-Evolving Data Streams.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

2017
RUSH!: Targeted Time-limited Coupons via Purchase Forecasts.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

2016
Fast Memory-efficient Anomaly Detection in Streaming Heterogeneous Graphs.
CoRR, 2016

Scheduling Broadcasts in a Network of Timelines.
CoRR, 2016

Fast Memory-efficient Anomaly Detection in Streaming Heterogeneous Graphs.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016


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