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08/01/2023
Fair Models in Credit: Intersectional Discrimination and the Amplification of Inequity
The increasing usage of new data sources and machine learning (ML) techn...
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07/21/2023
Multimodal Document Analytics for Banking Process Automation
In response to growing FinTech competition and the need for improved ope...
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05/19/2023
The Deep Promotion Time Cure Model
We propose a novel method for predicting time-to-event in the presence o...
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03/24/2023
Predictive modeling for limited distributed targets
Many forecasting applications have a limited distributed target variable...
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11/02/2022
A Data-driven Case-based Reasoning in Bankruptcy Prediction
There has been intensive research regarding machine learning models for ...
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10/05/2022
Improving uplift model evaluation on RCT data
Estimating treatment effects is one of the most challenging and importan...
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12/15/2021
Leveraging Image-based Generative Adversarial Networks for Time Series Generation
Generative models synthesize image data with great success regarding sam...
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11/22/2021
Modeling Irregular Time Series with Continuous Recurrent Units
Recurrent neural networks (RNNs) like long short-term memory networks (L...
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05/30/2021
Personalization in E-Grocery: Top-N versus Top-k Rankings
Business success in e-commerce depends on customer perceived value. A cu...
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03/02/2021
Fairness in Credit Scoring: Assessment, Implementation and Profit Implications
The rise of algorithmic decision-making has spawned much research on fai...
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01/09/2021
Interpretable Multiple Treatment Revenue Uplift Modeling
Big data and business analytics are critical drivers of business and soc...
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09/08/2020
Improving Crime Count Forecasts Using Twitter and Taxi Data
Crime prediction is crucial to criminal justice decision makers and effo...
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08/20/2020
Conditional Wasserstein GAN-based Oversampling of Tabular Data for Imbalanced Learning
Class imbalance is a common problem in supervised learning and impedes t...
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03/13/2020
Targeting Customers under Response-Dependent Costs
This study provides a formal analysis of the customer targeting decision...
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11/20/2019
Response Transformation and Profit Decomposition for Revenue Uplift Modeling
Uplift models support decision-making in marketing campaign planning. Es...
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11/07/2019
Group Average Treatment Effects for Observational Studies
The paper proposes an estimator to make inference on key features of het...
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10/01/2019
Affordable Uplift: Supervised Randomization in Controlled Experiments
Customer scoring models are the core of scalable direct marketing. Uplif...
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09/24/2019
Churn Prediction with Sequential Data and Deep Neural Networks. A Comparative Analysis
Off-the-shelf machine learning algorithms for prediction such as regular...
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09/13/2019
Shallow Self-Learning for Reject Inference in Credit Scoring
Credit scoring models support loan approval decisions in the financial s...
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01/07/2019
Evaluating software defect prediction performance: an updated benchmarking study
Accurately predicting faulty software units helps practitioners target f...
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12/14/2018
Can Deep Learning Predict Risky Retail Investors? A Case Study in Financial Risk Behavior Forecasting
The success of deep learning for unstructured data analysis is well docu...
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06/11/2018
Robust identification of email tracking: A machine learning approach
Email tracking allows email senders to collect fine-grained behavior and...
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07/24/2017
Health Analytics: a systematic review of approaches to detect phenotype cohorts using electronic health records
The paper presents a systematic review of state-of-the-art approaches to...
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07/10/2017