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Sarraf, Shagun (author), Kar, Arpan Kumar (author), Janssen, M.F.W.H.A. (author)
Chatbots are radically redefining the customer service landscape. With the advent of AI-enabled chatbots, like ChatGPT, organizations are adopting chatbots to provide better customer services; however, the user experience has been given less attention. Building on IS success model and cognitive absorption theory, we posit that system and user...
journal article 2024
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Dobbe, R.I.J. (author), Wolters, A.E. (author)
This paper provides an empirical and conceptual account on seeing machine learning models as part of a sociotechnical system to identify relevant vulnerabilities emerging in the context of use. As ML is increasingly adopted in socially sensitive and safety-critical domains, many ML applications end up not delivering on their promises, and...
journal article 2024
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Mellouli, Sehl (author), Janssen, M.F.W.H.A. (author), Ojo, Adegboyega (author)
Artificial Intelligence (AI) is increasingly adopted by public sector organizations to provide better public services and to transform their internal processes. AI is now considered a key enabler for digital innovation and transformation in the public sector. However, AI is still relatively a new research area in the field of digital...
journal article 2024
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de Winter, J.C.F. (author)
This study explores the potential of ChatGPT, a large language model, in scientometrics by assessing its ability to predict citation counts, Mendeley readers, and social media engagement. In this study, 2222 abstracts from PLOS ONE articles published during the initial months of 2022 were analyzed using ChatGPT-4, which used a set of 60 criteria...
journal article 2024
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Oviedo-Trespalacios, O. (author), Peden, Amy E. (author), Cole-Hunter, Thomas (author), Costantini, Arianna (author), Haghani, Milad (author), Rod, J. E. (author), Kelly, Sage (author), Torkamaan, H. (author), Tariq, Amina (author), David Albert Newton, James (author), Gallagher, Timothy (author), Steinert, S. (author), Filtness, Ashleigh J. (author), Reniers, G.L.L.M.E. (author)
ChatGPT is a highly advanced AI language model that has gained widespread popularity. It is trained to understand and generate human language and is used in various applications, including automated customer service, chatbots, and content generation. While it has the potential to offer many benefits, there are also concerns about its potential...
journal article 2023
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Abler, Daniel (author), Schaer, Roger (author), Oreiller, Valentin (author), Verma, H. (author), Reichenbach, Julien (author), Aidonopoulos, Orfeas (author), Evéquoz, Florian (author), Jreige, Mario (author), Prior, John (author)
Background: Radiomics, the field of image-based computational medical biomarker research, has experienced rapid growth over the past decade due to its potential to revolutionize the development of personalized decision support models. However, despite its research momentum and important advances toward methodological standardization, the...
journal article 2023
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Katare, D. (author), Perino, Diego (author), Nurmi, Jari (author), Warnier, Martijn (author), Janssen, M.F.W.H.A. (author), Ding, Aaron Yi (author)
Autonomous driving services depends on active sensing from modules such as camera, LiDAR, radar, and communication units. Traditionally, these modules process the sensed data on high-performance computing units inside the vehicle, which can deploy intelligent algorithms and AI models. The sensors mentioned above can produce large volumes of data...
journal article 2023
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Kakolaki, Seyed Ebrahim Hosseini (author), Hakimian, Vahid (author), Sadeh, Javad (author), Rakhshani, E. (author)
The sudden outage of a transformer due to a fault can cause irreparable damage to the electricity industry. Hence, by conducting momentarily inspections of the transformer's condition, faults can be promptly detected, and the transformer can be disconnected from the power grid to prevent subsequent failures in this equipment. Detecting faults...
journal article 2023
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Kernan Freire, S. (author), Panicker, Sarath (author), Ruiz Arenas, S. (author), Rusak, Z. (author), Niforatos, E. (author)
Operating a complex and dynamic system, such as an agile manufacturing line, is a knowledge-intensive task. It imposes a steep learning curve on novice operators and prompts experienced operators to continuously discover new knowledge, share it, and retain it. In practice, training novices is resource-intensive, and the knowledge discovered by...
journal article 2023
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Murray-Rust, D.S. (author), Lupetti, M.L. (author), Nicenboim, I. (author), Hoog, Wouter van der (author)
Artificial intelligence (AI) and machine learning (ML) are increasingly integrated into the functioning of physical and digital products, creating unprecedented opportunities for interaction and functionality. However, there is a challenge for designers to ideate within this creative landscape, balancing the possibilities of technology with...
journal article 2023
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Naseri Jahfari, A. (author), Tax, D.M.J. (author), van der Harst, Pim (author), Reinders, M.J.T. (author), van der Bilt, Ivo (author)
Background: Smartwatches enable continuous and noninvasive time series monitoring of cardiovascular biomarkers like heart rate (from photoplethysmograms), step counter, skin temperature, et cetera; as such, they have promise in assisting in early detection and prevention of cardiovascular disease. Although these biomarkers may not be directly...
journal article 2023
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Foroughi, M. (author), de Andrade, Bruno (author), Pereira Roders, A. (author)
Social media platforms have been increasingly used by locals and tourists to express their opinions about buildings, cities, and built heritage in particular. Most recently, scholars have been using social media to conduct innovative research on built heritage and heritage management. Still, the application of artificial intelligence (AI)...
journal article 2023
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Vogel, G.C. (author), Hirtreiter, E.J. (author), Schulze Balhorn, L. (author), Schweidtmann, A.M. (author)
SFILES are a text-based notation for chemical process flowsheets. They were originally proposed by d’Anterroches (Process flow sheet generation & design through a group contribution approach) who was inspired by the text-based SMILES notation for molecules. The text-based format has several advantages compared to flowsheet images...
journal article 2023
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Buijsman, S.N.R. (author)
Machine learning is used more and more in scientific contexts, from the recent breakthroughs with AlphaFold2 in protein fold prediction to the use of ML in parametrization for large climate/astronomy models. Yet it is unclear whether we can obtain scientific explanations from such models. I argue that when machine learning is used to conduct...
journal article 2023
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Cavalcante Siebert, L. (author), Lupetti, M.L. (author), Aizenberg, E. (author), Beckers, N.W.M. (author), Zgonnikov, A. (author), Veluwenkamp, H.M. (author), Abbink, D.A. (author), Giaccardi, Elisa (author), Houben, G.J.P.M. (author), Jonker, C.M. (author), van den Hoven, M.J. (author), Forster, D. (author), Lagendijk, R.L. (author)
How can humans remain in control of artificial intelligence (AI)-based systems designed to perform tasks autonomously? Such systems are increasingly ubiquitous, creating benefits - but also undesirable situations where moral responsibility for their actions cannot be properly attributed to any particular person or group. The concept of...
journal article 2022
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Allahabadi, H. (author), Amann, J. (author), Balot, I. (author), Beretta, A. (author), Binkley, C. (author), Bozenhard, J. (author), Bruneault, F. (author), Brusseau, J. (author), Umbrello, S. (author)
This article’s main contributions are twofold: 1) to demonstrate how to apply the general European Union’s High-Level Expert Group’s (EU HLEG) guidelines for trustworthy AI in practice for the domain of healthcare and 2) to investigate the research question of what does “trustworthy AI” mean at the time of the COVID-19 pandemic. To this end, we...
journal article 2022
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Paraskevopoulos, S. (author), Smeets, Patrick (author), Tian, X. (author), Medema, G.J. (author)
Health risk assessment of environmental exposure to pathogens requires complete and up to date knowledge. With the rapid growth of scientific publications and the protocolization of literature reviews, an automated approach based on Artificial Intelligence (AI) techniques could help extract meaningful information from the literature and make...
journal article 2022
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Smit, J.M. (author), Krijthe, J.H. (author), Tintu, Andrei N. (author), Endeman, Henrik (author), Ludikhuize, Jeroen (author), van Genderen, Michel E. (author), Gommers, D.A.M.P.J. (author), Arbous, M.S. (author), Reinders, M.J.T. (author)
Background: Timely identification of deteriorating COVID-19 patients is needed to guide changes in clinical management and admission to intensive care units (ICUs). There is significant concern that widely used Early warning scores (EWSs) underestimate illness severity in COVID-19 patients and therefore, we developed an early warning model...
journal article 2022
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Arnaboldi, Michela (author), de Bruijn, J.A. (author), Steccolini, Ileana (author), van der Voort, H.G. (author)
Purpose: The purpose of this paper is to introduce the papers in this special issue on humans, algorithms and data. The authors first set themselves the task of identifying the main challenges arising from the adoption and use of algorithms and data analytics in management, accounting and organisations in general, many of which have been...
journal article 2022
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Urom, Christian (author), Ndubuisi, G.O. (author), Guesmi, Khaled (author), Benkraien, Ramzi (author)
This paper examines the dependence between Artificial Intelligence (AI) and eight energy-focused sectors (including renewable energy and coal) across different market conditions and investment horizons. This paper adopts both linear and non-linear models such as quantile regressions and quantile cross-spectral coherency models. Evidence from the...
journal article 2022
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