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09/13/2023
Generative AI
The term "generative AI" refers to computational techniques that are cap...
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08/14/2023
Data-Driven Allocation of Preventive Care With Application to Diabetes Mellitus Type II
Problem Definition. Increasing costs of healthcare highlight the importa...
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07/24/2023
Analyzing the Strategy of Propaganda using Inverse Reinforcement Learning: Evidence from the 2022 Russian Invasion of Ukraine
The 2022 Russian invasion of Ukraine was accompanied by a large-scale, p...
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05/01/2023
A comparison of short-term probabilistic forecasts for the incidence of COVID-19 using mechanistic and statistical time series models
Short-term forecasts of infectious disease spread are a critical compone...
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04/28/2023
HQP: A Human-Annotated Dataset for Detecting Online Propaganda
Online propaganda poses a severe threat to the integrity of societies. H...
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04/24/2023
Addressing distributional shifts in operations management: The case of order fulfillment in customized production
To meet order fulfillment targets, manufacturers seek to optimize produc...
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01/21/2023
Leveraging driver vehicle and environment interaction: Machine learning using driver monitoring cameras to detect drunk driving
Excessive alcohol consumption causes disability and death. Digital inter...
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10/19/2022
QA Domain Adaptation using Hidden Space Augmentation and Self-Supervised Contrastive Adaptation
Question answering (QA) has recently shown impressive results for answer...
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08/17/2022
Estimating individual treatment effects under unobserved confounding using binary instruments
Estimating individual treatment effects (ITEs) from observational data i...
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08/13/2022
Locating disparities in machine learning
Machine learning was repeatedly proven to provide predictions with dispa...
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08/09/2022
"Is It My Turn?" Assessing Teamwork and Taskwork in Collaborative Immersive Analytics
Immersive analytics has the potential to promote collaboration in machin...
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08/08/2022
Detecting User Exits from Online Behavior: A Duration-Dependent Latent State Model
In order to steer e-commerce users towards making a purchase, marketers ...
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07/22/2022
Algorithmic Fairness in Business Analytics: Directions for Research and Practice
The extensive adoption of business analytics (BA) has brought financial ...
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06/13/2022
Contrastive Learning for Unsupervised Domain Adaptation of Time Series
Unsupervised domain adaptation (UDA) aims at learning a machine learning...
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06/02/2022
Data-driven dynamic treatment planning for chronic diseases
In order to deliver effective care, health management must consider the ...
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04/14/2022
Learning Optimal Dynamic Treatment Regimes Using Causal Tree Methods in Medicine
Dynamic treatment regimes (DTRs) are used in medicine to tailor sequenti...
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03/10/2022
Web Mining to Inform Locations of Charging Stations for Electric Vehicles
The availability of charging stations is an important factor for promoti...
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03/04/2022
Interpretable Off-Policy Learning via Hyperbox Search
Personalized treatment decisions have become an integral part of modern ...
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03/02/2022
Estimating Conditional Average Treatment Effects with Missing Treatment Information
Estimating conditional average treatment effects (CATE) is challenging, ...
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02/25/2022
Combining Observational and Randomized Data for Estimating Heterogeneous Treatment Effects
Estimating heterogeneous treatment effects is an important problem acros...
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01/31/2022
Detecting False Rumors from Retweet Dynamics on Social Media
False rumors are known to have detrimental effects on society. To preven...
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12/06/2021
Deconfounding Temporal Autoencoder: Estimating Treatment Effects over Time Using Noisy Proxies
Estimating individualized treatment effects (ITEs) from observational da...
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12/02/2021
Generalizing Off-Policy Learning under Sample Selection Bias
Learning personalized decision policies that generalize to the target po...
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09/27/2021
A Sociotechnical View of Algorithmic Fairness
Algorithmic fairness has been framed as a newly emerging technology that...
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08/31/2021
Contrastive Domain Adaptation for Question Answering using Limited Text Corpora
Question generation has recently shown impressive results in customizing...
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08/10/2021
Exploring the Effect of Visual Cues on Eye Gaze During AR-Guided Picking and Assembly Tasks
In this paper, we present an analysis of eye gaze patterns pertaining to...
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06/21/2021
Artificial intelligence across company borders
Artificial intelligence (AI) has become a valued technology in many comp...
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06/01/2021
Predicting COVID-19 Spread from Large-Scale Mobility Data
To manage the COVID-19 epidemic effectively, decision-makers in public h...
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04/16/2021
Sequential Deconfounding for Causal Inference with Unobserved Confounders
Using observational data to estimate the effect of a treatment is a powe...
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03/14/2021
Modeling Longitudinal Dynamics of Comorbidities
In medicine, comorbidities refer to the presence of multiple, co-occurri...
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02/09/2021
AttDMM: An Attentive Deep Markov Model for Risk Scoring in Intensive Care Units
Clinical practice in intensive care units (ICUs) requires early warnings...
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02/08/2021
Directed particle swarm optimization with Gaussian-process-based function forecasting
Particle swarm optimization (PSO) is an iterative search method that mov...
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01/21/2021
Estimating Average Treatment Effects via Orthogonal Regularization
Decision-making often requires accurate estimation of treatment effects ...
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01/07/2021
Monitoring the COVID-19 epidemic with nationwide telecommunication data
In response to the novel coronavirus disease (COVID-19), governments hav...
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11/10/2020
Estimating Risk-Adjusted Hospital Performance
The quality of healthcare provided by hospitals is subject to considerab...
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10/07/2020
Learning a Cost-Effective Annotation Policy for Question Answering
State-of-the-art question answering (QA) relies upon large amounts of tr...
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05/16/2020
Forecasting electricity prices with machine learning: Predictor sensitivity
Purpose: Trading on electricity markets occurs such that the price settl...
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04/17/2020
Leveraging Mobility Flows from Location Technology Platforms to Test Crime Pattern Theory in Large Cities
Crime has been previously explained by social characteristics of the res...
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03/06/2020
Practical Annotation Strategies for Question Answering Datasets
Annotating datasets for question answering (QA) tasks is very costly, as...
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11/05/2019
DocParser: Hierarchical Structure Parsing of Document Renderings
Translating document renderings (e.g. PDFs, scans) into hierarchical str...
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07/17/2019
Improving Heart Rate Variability Measurements from Consumer Smartwatches with Machine Learning
The reactions of the human body to physical exercise, psychophysiologica...
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07/11/2019
Forecasting remaining useful life: Interpretable deep learning approach via variational Bayesian inferences
Predicting the remaining useful life of machinery, infrastructure, or ot...
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06/07/2019
RankQA: Neural Question Answering with Answer Re-Ranking
The conventional paradigm in neural question answering (QA) for narrativ...
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05/24/2019
Personalized Purchase Prediction of Market Baskets with Wasserstein-Based Sequence Matching
Personalization in marketing aims at improving the shopping experience o...
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02/01/2019
Public decision support for low population density areas: An imbalance-aware hyper-ensemble for spatio-temporal crime prediction
Crime events are known to reveal spatio-temporal patterns, which can be ...
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01/29/2019
Sample Complexity Bounds for Recurrent Neural Networks with Application to Combinatorial Graph Problems
Learning to predict solutions to real-valued combinatorial graph problem...
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09/29/2018
Reinforcement Learning in R
Reinforcement learning refers to a group of methods from artificial inte...
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08/20/2018
Adaptive Document Retrieval for Deep Question Answering
State-of-the-art systems in deep question answering proceed as follows: ...
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07/18/2018
News-based trading strategies
The marvel of markets lies in the fact that dispersed information is ins...
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06/28/2018