Stefan Feuerriegel

research

∙ 09/13/2023

Generative AI

The term "generative AI" refers to computational techniques that are cap...

0 Stefan Feuerriegel, et al. ∙

research

∙ 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...

0 Mathias Kraus, et al. ∙

research

∙ 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...

0 Dominique Geissler, et al. ∙

research

∙ 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...

0 Nicolas Banholzer, et al. ∙

research

∙ 04/28/2023

HQP: A Human-Annotated Dataset for Detecting Online Propaganda

Online propaganda poses a severe threat to the integrity of societies. H...

0 Abdurahman Maarouf, et al. ∙

research

∙ 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...

0 Julian Senoner, et al. ∙

research

∙ 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...

0 Kevin Koch, et al. ∙

research

∙ 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...

0 Zhenrui Yue, et al. ∙

research

∙ 08/17/2022

Estimating individual treatment effects under unobserved confounding using binary instruments

Estimating individual treatment effects (ITEs) from observational data i...

0 Dennis Frauen, et al. ∙

research

∙ 08/13/2022

Locating disparities in machine learning

Machine learning was repeatedly proven to provide predictions with dispa...

0 Moritz von Zahn, et al. ∙

research

∙ 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...

0 Michaela Benk, et al. ∙

research

∙ 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 ...

0 Tobias Hatt, et al. ∙

research

∙ 07/22/2022

Algorithmic Fairness in Business Analytics: Directions for Research and Practice

The extensive adoption of business analytics (BA) has brought financial ...

0 Maria De-Arteaga, et al. ∙

research

∙ 06/13/2022

Contrastive Learning for Unsupervised Domain Adaptation of Time Series

Unsupervised domain adaptation (UDA) aims at learning a machine learning...

0 Yilmazcan Özyurt, et al. ∙

research

∙ 06/02/2022

Data-driven dynamic treatment planning for chronic diseases

In order to deliver effective care, health management must consider the ...

0 Christof Naumzik, et al. ∙

research

∙ 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...

0 Theresa Blümlein, et al. ∙

research

∙ 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...

0 Philipp Hummler, et al. ∙

research

∙ 03/04/2022

Interpretable Off-Policy Learning via Hyperbox Search

Personalized treatment decisions have become an integral part of modern ...

0 Daniel Tschernutter, et al. ∙

research

∙ 03/02/2022

Estimating Conditional Average Treatment Effects with Missing Treatment Information

Estimating conditional average treatment effects (CATE) is challenging, ...

0 Milan Kuzmanovic, et al. ∙

research

∙ 02/25/2022

Combining Observational and Randomized Data for Estimating Heterogeneous Treatment Effects

Estimating heterogeneous treatment effects is an important problem acros...

1 Tobias Hatt, et al. ∙

research

∙ 01/31/2022

Detecting False Rumors from Retweet Dynamics on Social Media

False rumors are known to have detrimental effects on society. To preven...

0 Christof Naumzik, et al. ∙

research

∙ 12/06/2021

Deconfounding Temporal Autoencoder: Estimating Treatment Effects over Time Using Noisy Proxies

Estimating individualized treatment effects (ITEs) from observational da...

0 Milan Kuzmanovic, et al. ∙

research

∙ 12/02/2021

Generalizing Off-Policy Learning under Sample Selection Bias

Learning personalized decision policies that generalize to the target po...

0 Tobias Hatt, et al. ∙

research

∙ 09/27/2021

A Sociotechnical View of Algorithmic Fairness

Algorithmic fairness has been framed as a newly emerging technology that...

0 Mateusz Dolata, et al. ∙

research

∙ 08/31/2021

Contrastive Domain Adaptation for Question Answering using Limited Text Corpora

Question generation has recently shown impressive results in customizing...

0 Zhenrui Yue, et al. ∙

research

∙ 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...

0 Arne Seeliger, et al. ∙

research

∙ 06/21/2021

Artificial intelligence across company borders

Artificial intelligence (AI) has become a valued technology in many comp...

0 Olga Fink, et al. ∙

research

∙ 06/01/2021

Predicting COVID-19 Spread from Large-Scale Mobility Data

To manage the COVID-19 epidemic effectively, decision-makers in public h...

0 Amray Schwabe, et al. ∙

research

∙ 04/16/2021

Sequential Deconfounding for Causal Inference with Unobserved Confounders

Using observational data to estimate the effect of a treatment is a powe...

0 Tobias Hatt, et al. ∙

research

∙ 03/14/2021

Modeling Longitudinal Dynamics of Comorbidities

In medicine, comorbidities refer to the presence of multiple, co-occurri...

0 Basil Maag, et al. ∙

research

∙ 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...

0 Yilmazcan Özyurt, et al. ∙

research

∙ 02/08/2021

Directed particle swarm optimization with Gaussian-process-based function forecasting

Particle swarm optimization (PSO) is an iterative search method that mov...

0 Johannes Jakubik, et al. ∙

research

∙ 01/21/2021

Estimating Average Treatment Effects via Orthogonal Regularization

Decision-making often requires accurate estimation of treatment effects ...

0 Tobias Hatt, et al. ∙

research

∙ 01/07/2021

Monitoring the COVID-19 epidemic with nationwide telecommunication data

In response to the novel coronavirus disease (COVID-19), governments hav...

0 Joel Persson, et al. ∙

research

∙ 11/10/2020

Estimating Risk-Adjusted Hospital Performance

The quality of healthcare provided by hospitals is subject to considerab...

0 Eva van Weenen, et al. ∙

research

∙ 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...

0 Bernhard Kratzwald, et al. ∙

research

∙ 05/16/2020

Forecasting electricity prices with machine learning: Predictor sensitivity

Purpose: Trading on electricity markets occurs such that the price settl...

0 Christof Naumzik, et al. ∙

research

∙ 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...

0 Cristina Kadar, et al. ∙

research

∙ 03/06/2020

Practical Annotation Strategies for Question Answering Datasets

Annotating datasets for question answering (QA) tasks is very costly, as...

0 Bernhard Kratzwald, et al. ∙

research

∙ 11/05/2019

DocParser: Hierarchical Structure Parsing of Document Renderings

Translating document renderings (e.g. PDFs, scans) into hierarchical str...

0 Johannes Rausch, et al. ∙

research

∙ 07/17/2019

Improving Heart Rate Variability Measurements from Consumer Smartwatches with Machine Learning

The reactions of the human body to physical exercise, psychophysiologica...

0 Martin Maritsch, et al. ∙

research

∙ 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...

7 Mathias Kraus, et al. ∙

research

∙ 06/07/2019

RankQA: Neural Question Answering with Answer Re-Ranking

The conventional paradigm in neural question answering (QA) for narrativ...

0 Bernhard Kratzwald, et al. ∙

research

∙ 05/24/2019

Personalized Purchase Prediction of Market Baskets with Wasserstein-Based Sequence Matching

Personalization in marketing aims at improving the shopping experience o...

0 Mathias Kraus, et al. ∙

research

∙ 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 ...

0 Cristina Kadar, et al. ∙

research

∙ 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...

0 Nil-Jana Akpinar, et al. ∙

research

∙ 09/29/2018

Reinforcement Learning in R

Reinforcement learning refers to a group of methods from artificial inte...

0 Nicolas Pröllochs, et al. ∙

research

∙ 08/20/2018

Adaptive Document Retrieval for Deep Question Answering

State-of-the-art systems in deep question answering proceed as follows: ...

0 Bernhard Kratzwald, et al. ∙

research

∙ 07/18/2018

News-based trading strategies

The marvel of markets lies in the fact that dispersed information is ins...

0 Stefan Feuerriegel, et al. ∙

research

∙ 06/28/2018

Deep learning in business analytics and operations research: Models, applications and managerial implications

Business analytics refers to methods and practices that create value thr...

0 Mathias Kraus, et al. ∙

Stefan Feuerriegel

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