Witschel, Hans Friedrich
Lade...
E-Mail-Adresse
Geburtsdatum
Projekt
Organisationseinheiten
Berufsbeschreibung
Nachname
Witschel
Vorname
Hans Friedrich
Name
Witschel, Hans Friedrich
54 Ergebnisse
Suchergebnisse
Gerade angezeigt 1 - 10 von 54
Publikation LLMs in automated essay evaluation: a case study(AAAI Press, 03/2024) Kostic, Milan; Witschel, Hans Friedrich; Hinkelmann, Knut; Spahic, Maja; Petrick, Ron; Geib, Christopher04B - Beitrag KonferenzschriftPublikation Student performance prediction model based on course description and student similarity(Springer, 2024) Mäder, David; Spahic, Maja; Witschel, Hans Friedrich; Almeida, João Paulo A.; Di Ciccio, Claudio; Kalloniatis, Christos04B - Beitrag KonferenzschriftPublikation Semantic verification in large language model-based retrieval augmented generation(AAAI Press, 2024) Martin, Andreas; Witschel, Hans Friedrich; Mandl, Maximilian; Stockhecke, Mona; Petrick, Ron; Geib, Christopher04B - Beitrag KonferenzschriftPublikation ChEdBot: designing a domain-specific conversational agent in a simulational learning environment using LLMs(AAAI Press, 2024) Martin, Andreas; Pande, Charuta; Witschel, Hans Friedrich; Mathez, Judith; Petrick, Ron; Geib, Christopher04B - Beitrag KonferenzschriftPublikation Visualisierung von Mustern für hybrides Lernen und Reasoning mit menschlicher Beteiligung(Springer, 2023) Witschel, Hans Friedrich; Pande, Charuta; Martin, Andreas; Laurenzi, Emanuele; Hinkelmann, Knut; Dornberger, Rolf04A - Beitrag SammelbandPublikation Ein dialogbasiertes Tutorsystem für projektbasiertes Lernen in der Wirtschaftsinformatikausbildung(Springer, 2023) Witschel, Hans Friedrich; Diwanji, Prajakta; Hinkelmann, Knut; Dornberger, Rolf04A - Beitrag SammelbandPublikation Uncovering cross-platform spreading patterns of fake news about COVID-19(2023) Schiesser, Lukas; Witschel, Hans Friedrich; de la Harpe, Andre; Hinkelmann, Knut; Gerber, AuronaThe spreading of fake news or misinformation on social media is a serious threat to modern societies, making more and more people susceptible to being unfairly influenced in their decision-making, be it in elections or other democratic processes. We contribute to the body of work in the area of fake news detection by studying cross-platform, multivariate spreading patterns of fake news on Covid-19-related topics – where existing studies have focused strongly on single platforms and/or on single metrics or indicators. Our findings show that there are several attributes that are specific to the cross-platform spreading process that become important predictors of fake news: there is e.g. a clear tendency that fake news travels faster from one platform to the other than real news. Meanwhile, although we have compiled a cross-platform corpus of fake and real news that future research may build on, data availability remains a challenge for future work.04B - Beitrag KonferenzschriftPublikation An early warning system that combines machine learning and a rule-based approach for the prediction of cancer patients’ unplanned visits(Sun SITE Central Europe, 2023) Witschel, Hans Friedrich; Laurenzi, Emanuele; Jüngling, Stephan; Kadvany, Yannick; Trojan, Andreas; Martin, Andreas; Fill, Hans-Georg; Gerber, Aurona; Hinkelmann, Knut; Lenat, Doug; Stolle, Reinhard; van Harmelen, Frank04B - Beitrag KonferenzschriftPublikation Practice track: a learning tracker using digital biomarkers for autistic preschoolers(2022) Sandhu, Gurmit; Kilburg, Anne; Martin, Andreas; Pande, Charuta; Witschel, Hans Friedrich; Laurenzi, Emanuele; Billing, Erik; Hinkelmann, Knut; Gerber, AuronaPreschool children, when diagnosed with Autism Spectrum Disorder (ASD), often ex- perience a long and painful journey on their way to self-advocacy. Access to standard of care is poor, with long waiting times and the feeling of stigmatization in many social set- tings. Early interventions in ASD have been found to deliver promising results, but have a high cost for all stakeholders. Some recent studies have suggested that digital biomarkers (e.g., eye gaze), tracked using affordable wearable devices such as smartphones or tablets, could play a role in identifying children with special needs. In this paper, we discuss the possibility of supporting neurodiverse children with technologies based on digital biomark- ers which can help to a) monitor the performance of children diagnosed with ASD and b) predict those who would benefit most from early interventions. We describe an ongoing feasibility study that uses the “DREAM dataset”, stemming from a clinical study with 61 pre-school children diagnosed with ASD, to identify digital biomarkers informative for the child’s progression on tasks such as imitation of gestures. We describe our vision of a tool that will use these prediction models and that ASD pre-schoolers could use to train certain social skills at home. Our discussion includes the settings in which this usage could be embedded.04B - Beitrag KonferenzschriftPublikation New hybrid techniques for business recommender systems(MDPI, 2022) Pande, Charuta; Witschel, Hans Friedrich; Martin, AndreasBesides the typical applications of recommender systems in B2C scenarios such as movie or shopping platforms, there is a rising interest in transforming the human-driven advice provided, e.g., in consultancy via the use of recommender systems. We explore the special characteristics of such knowledge-based B2B services and propose a process that allows incorporating recommender systems into them. We suggest and compare several recommender techniques that allow incorporating the necessary contextual knowledge (e.g., company demographics). These techniques are evaluated in isolation on a test set of business intelligence consultancy cases. We then identify the respective strengths of the different techniques and propose a new hybridisation strategy to combine these strengths. Our results show that the hybridisation leads to substantial performance improvement over the individual methods.01A - Beitrag in wissenschaftlicher Zeitschrift