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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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07/28/2023
CHATREPORT: Democratizing Sustainability Disclosure Analysis through LLM-based Tools
In the face of climate change, are companies really taking substantial s...
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06/27/2023
Paradigm Shift in Sustainability Disclosure Analysis: Empowering Stakeholders with CHATREPORT, a Language Model-Based Tool
This paper introduces a novel approach to enhance Large Language Models ...
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04/11/2023
chatIPCC: Grounding Conversational AI in Climate Science
Large Language Models (LLMs) have made significant progress in recent ye...
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03/31/2023
Enhancing Large Language Models with Climate Resources
Large language models (LLMs) have significantly transformed the landscap...
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09/01/2022
A Dataset for Detecting Real-World Environmental Claims
In this paper, we introduce an expert-annotated dataset for detecting re...
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05/10/2022
Towards Climate Awareness in NLP Research
The climate impact of AI, and NLP research in particular, has become a s...
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04/19/2022
GAM(e) changer or not? An evaluation of interpretable machine learning models based on additive model constraints
The number of information systems (IS) studies dealing with explainable ...
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01/06/2022
A Light in the Dark: Deep Learning Practices for Industrial Computer Vision
In recent years, large pre-trained deep neural networks (DNNs) have revo...
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10/22/2021
ClimateBert: A Pretrained Language Model for Climate-Related Text
Over the recent years, large pretrained language models (LM) have revolu...
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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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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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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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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...
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03/16/2018
Decision support with text-based emotion recognition: Deep learning for affective computing
Emotions widely affect the decision-making of humans and, hence, affecti...
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10/11/2017
Decision support from financial disclosures with deep neural networks and transfer learning
Company disclosures greatly aid in the process of financial decision-mak...
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04/18/2017