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01/25/2022
Inform Product Change through Experimentation with Data-Driven Behavioral Segmentation
Online controlled experimentation is widely adopted for evaluating new f...
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01/20/2022
Effective Anomaly Detection in Smart Home by Integrating Event Time Intervals
Smart home IoT systems and devices are susceptible to attacks and malfun...
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05/05/2020
Feature Selection Methods for Uplift Modeling
Uplift modeling is a predictive modeling technique that estimates the us...
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02/25/2020
CausalML: Python Package for Causal Machine Learning
CausalML is a Python implementation of algorithms related to causal infe...
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08/15/2019
Maximum Relevance and Minimum Redundancy Feature Selection Methods for a Marketing Machine Learning Platform
In machine learning applications for online product offerings and market...
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08/14/2019
Uplift Modeling for Multiple Treatments with Cost Optimization
Uplift modeling is an emerging machine learning approach for estimating ...
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05/25/2019