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Daehwan Ahn

University of Pennsylvania - Operations & Information Management Department

Philadelphia, PA 19104

United States

SCHOLARLY PAPERS

3

DOWNLOADS

1,160

TOTAL CITATIONS

3

Scholarly Papers (3)

1.

Interpretable Deep Learning Approach to Churn Management

Number of pages: 44 Posted: 14 Dec 2021
Daehwan Ahn, Dokyun Lee and Kartik Hosanagar
University of Pennsylvania - Operations & Information Management Department, Boston University - Questrom School of Business and University of Pennsylvania - Operations & Information Management Department
Downloads 533 (129,967)
Citation 2

Abstract:

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Survival Analysis, Deep Learning, Interpretability, Churn Management, XAI, Interpretable Machine Learning

2.

Modeling Lengthy Behavioral Log Data for Customer Churn Management: A Representation Learning Approach

Number of pages: 50 Posted: 23 Nov 2021
Daehwan Ahn, Dokyun Lee and Kartik Hosanagar
University of Pennsylvania - Operations & Information Management Department, Boston University - Questrom School of Business and University of Pennsylvania - Operations & Information Management Department
Downloads 402 (181,994)
Citation 1

Abstract:

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Churn, Customer Log Data, Lengthy Log, Deep Learning, Sequence Embedding, CLV

3.

Will We Trust What We Don’t Understand? Impact of Model Interpretability and Outcome Feedback on Trust in AI

Number of pages: 40 Posted: 18 Nov 2021
University of Pennsylvania - Operations & Information Management Department, Massachusetts Institute of Technology (MIT) - Sloan School of Management, University of Pennsylvania - The Wharton School and University of Pennsylvania - Operations & Information Management Department
Downloads 225 (339,120)

Abstract:

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Trust in AI Systems, Human-AI Collaboration, Interpretability, Outcome Feedback, Performance, AI-assisted Systems