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Deep learning for affective computing: Text-based emotion recognition in decision support

Decision Support Systems, 2018-11, Vol.115, p.24-35

2018

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Cheap talk and cherry-picking: What ClimateBert has to say on corporate climate risk disclosures

Finance research letters, 2022-06, Vol.47, p.102776, Article 102776

2022

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Dimensions of Intelligent Analytics for Smart Digital Health Solutions

1, 2024

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Machine Learning for Predicting Micro- and Macrovascular Complications in Individuals With Prediabetes or Diabetes: Retrospective Cohort Study

Journal of medical Internet research, 2023-02, Vol.25 (1), p.e42181-e42181

2023

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Decision support from financial disclosures with deep neural networks and transfer learning

Decision Support Systems, 2017-12, Vol.104, p.38-48

2017

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Forecasting remaining useful life: Interpretable deep learning approach via variational Bayesian inferences

Decision Support Systems, 2019-10, Vol.125, p.113100, Article 113100

2019

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

European journal of operational research, 2020-03, Vol.281 (3), p.628-641

2020

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Sentiment analysis based on rhetorical structure theory:Learning deep neural networks from discourse trees

Expert systems with applications, 2019-03, Vol.118, p.65-79

2019

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ChatClimate: Grounding conversational AI in climate science

Communications earth & environment, 2023-12, Vol.4 (1), p.480-13, Article 480

2023

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Multimodal In-Vehicle Hypoglycemia Warning for Drivers With Type 1 Diabetes: Design and Evaluation in Simulated and Real-World Driving

JMIR human factors, 2024-04, Vol.11, p.e46967-e46967

2024

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Effectiveness and User Perception of an In-Vehicle Voice Warning for Hypoglycemia: Development and Feasibility Trial

JMIR human factors, 2024-01, Vol.11, p.e42823

2024

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A Network Analysis of Drug Combinations Associated with Acute Generalized Exanthematous Pustulosis (AGEP)

Journal of clinical medicine, 2021-09, Vol.10 (19), p.4486

2021

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Interpretable generalized additive neural networks

European journal of operational research, 2024-09, Vol.317 (2), p.303-316

2024

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Data-Driven Allocation of Preventive Care with Application to Diabetes Mellitus Type II

Manufacturing & service operations management, 2024-01, Vol.26 (1), p.137-153

2024

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How cheap talk in climate disclosures relates to climate initiatives, corporate emissions, and reputation risk

Journal of banking & finance, 2024-07, Vol.164, p.107191, Article 107191

2024

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Leveraging interpretable machine learning in intensive care

Annals of operations research, 2024-09

2024

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Anomaly detection for industrial quality assurance: A comparative evaluation of unsupervised deep learning models

Computers & industrial engineering, 2023-03, Vol.177, p.109045, Article 109045

2023

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A machine learning framework for interpretable predictions in patient pathways: The case of predicting ICU admission for patients with symptoms of sepsis

Health care management science, 2024-06, Vol.27 (2), p.136-167

2024

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Evaluation of a newly designed deep learning-based algorithm for automated assessment of scapholunate distance in wrist radiography as a surrogate parameter for scapholunate ligament rupture and the correlation with arthroscopy

Radiologia medica, 2023-12, Vol.128 (12), p.1535-1541

2023

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Explainable AI for enhanced decision-making

Decision Support Systems, 2024-09, Vol.184, p.114276, Article 114276

2024

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Machine Learning for Predicting the Risk of Transition from Prediabetes to Diabetes

Diabetes technology & therapeutics, 2022-11, Vol.24 (11), p.842-847

2022

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Explainable AI for Operational Research: A defining framework, methods, applications, and a research agenda

European journal of operational research, 2024-09, Vol.317 (2), p.249-272

2024

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Selecting advanced analytics in manufacturing: a decision support model

Production planning & control, 2024-05, Vol.35 (7), p.711-724

2024

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Bridging the gap in ESG measurement: Using NLP to quantify environmental, social, and governance communication

Finance research letters, 2024-03, Vol.61, p.104979, Article 104979

2024

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Machine learning for non‐invasive sensing of hypoglycaemia while driving in people with diabetes

Diabetes, obesity & metabolism, 2023-06, Vol.25 (6), p.1668-1676

2023

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Deep learning for affective computing: Text-based emotion recognition in decision support

Cheap talk and cherry-picking: What ClimateBert has to say on corporate climate risk disclosures

Dimensions of Intelligent Analytics for Smart Digital Health Solutions

Machine Learning for Predicting Micro- and Macrovascular Complications in Individuals With Prediabetes or Diabetes: Retrospective Cohort Study

Decision support from financial disclosures with deep neural networks and transfer learning

Forecasting remaining useful life: Interpretable deep learning approach via variational Bayesian inferences

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

Sentiment analysis based on rhetorical structure theory:Learning deep neural networks from discourse trees

ChatClimate: Grounding conversational AI in climate science

Multimodal In-Vehicle Hypoglycemia Warning for Drivers With Type 1 Diabetes: Design and Evaluation in Simulated and Real-World Driving

Effectiveness and User Perception of an In-Vehicle Voice Warning for Hypoglycemia: Development and Feasibility Trial

A Network Analysis of Drug Combinations Associated with Acute Generalized Exanthematous Pustulosis (AGEP)

Interpretable generalized additive neural networks

Data-Driven Allocation of Preventive Care with Application to Diabetes Mellitus Type II

How cheap talk in climate disclosures relates to climate initiatives, corporate emissions, and reputation risk

Leveraging interpretable machine learning in intensive care

Anomaly detection for industrial quality assurance: A comparative evaluation of unsupervised deep learning models

A machine learning framework for interpretable predictions in patient pathways: The case of predicting ICU admission for patients with symptoms of sepsis

Evaluation of a newly designed deep learning-based algorithm for automated assessment of scapholunate distance in wrist radiography as a surrogate parameter for scapholunate ligament rupture and the correlation with arthroscopy

Explainable AI for enhanced decision-making

Machine Learning for Predicting the Risk of Transition from Prediabetes to Diabetes

Explainable AI for Operational Research: A defining framework, methods, applications, and a research agenda

Selecting advanced analytics in manufacturing: a decision support model

Bridging the gap in ESG measurement: Using NLP to quantify environmental, social, and governance communication

Machine learning for non‐invasive sensing of hypoglycaemia while driving in people with diabetes

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