Charuta Pande
Charuta Pande
Activities at FHNW
Lecturer, MSc Business Information Systems
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No peer reviewed content available
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Peer reviewedMartin, A., Pande, C., Schwander, S., Ajuwon, A. J., & Pimmer, C. (2024). Domain-specific embeddings for question-answering systems. FAQs for health coaching. In R. Petrick & C. Geib (Eds.), Proceedings of the AAAI 2024 Spring Symposium Series (Vol. 3, pp. 175–179). Stanford University. https://doi.org/10.1609/aaaiss.v3i1.31197
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Peer reviewedMartin, A., Pande, C., Witschel, H. F., & Mathez, J. (2024). ChEdBot: designing a domain-specific conversational agent in a simulational learning environment using LLMs. In R. Petrick & C. Geib (Eds.), Proceedings of the AAAI Symposium Series (Vol. 3, Issue 1, pp. 180–187). AAAI Press. https://doi.org/10.1609/aaaiss.v3i1.31198
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Witschel, H. F., Pande, C., Martin, A., Laurenzi, E., & Hinkelmann, K. (2023). Visualisierung von Mustern für hybrides Lernen und Reasoning mit menschlicher Beteiligung. In R. Dornberger (ed.), Neue Trends in Wirtschaftsinformatik und eingesetzte Technologien. Digitale Innovation und digitale Transformation (pp. 205–217). Springer. https://doi.org/10.1007/978-3-031-32538-0_13
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Peer reviewedTelesko, R., Spahic, M., Hinkelmann, K., & Pande, C. (2023). A new approach for teaching programming: model-based agile programming (MBAD). ICIEI 2023. Proceedings of 2023 the 8th International Conference on Information and Education Innovations, 13–18. https://doi.org/10.1145/3594441.3594445
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Peer reviewedPande, C., Martin, A., & Pimmer, C. (2023). Towards hybrid dialog management strategies for a health coach chatbot. Proceedings of the AAAI 2023 Spring Symposium on Challenges Requiring the Combination of Machine Learning and Knowledge Engineering (AAAI-MAKE 2023). AAAI 2023 Spring Symposium on Challenges Requiring the Combination of Machine Learning and Knowledge Engineering. https://doi.org/10.26041/fhnw-7453
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Peer reviewedDuhan, R., Pande, C., & Martin, A. (2023). A flexible, extendable and adaptable model to support AI coaching. In K. Hinkelmann, F. J. López-Pellicer, & A. Polini (Eds.), Perspectives in business informatics research (pp. 172–187). Springer. https://doi.org/10.1007/978-3-031-43126-5_13
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Peer reviewedSandhu, G., Kilburg, A., Martin, A., Pande, C., Witschel, H. F., Laurenzi, E., & Billing, E. (2022). Practice track: a learning tracker using digital biomarkers for autistic preschoolers. In K. Hinkelmann & A. Gerber (Eds.), Proceedings of the Society 5.0 Conference 2022 - Integrating digital world and real world to resolve challenges in business and society (pp. 219–230). https://doi.org/10.29007/m2jx
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Peer reviewedPande, C., Witschel, H. F., & Martin, A. (2022). New hybrid techniques for business recommender systems. Applied Sciences, 12(10). https://doi.org/10.3390/app12104804
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Peer reviewedPande, C., Fill, H.-G., & Hinkelmann, K. (2022). A computational literature analysis of conversational AI research with a focus on the coaching domain. In K. Hinkelmann & A. Gerber (Eds.), Proceedings of the Society 5.0 Conference 2022 - Integrating digital world and real world to resolve challenges in business and society (pp. 100–116). https://doi.org/10.29007/lh9r
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Peer reviewedPande, C., Witschel, H. F., Martin, A., & Montecchiari, D. (2021). Hybrid conversational AI for intelligent tutoring systems. In A. Martin, K. Hinkelmann, H.-G. Fill, A. Gerber, D. Lenat, R. Stolle, & F. v. Harmelen (Eds.), Proceedings of the AAAI 2021 Spring Symposium on Combining Machine Learning and Knowledge Engineering (AAAI-MAKE 2021). Sun SITE, Informatik V, RWTH Aachen. https://doi.org/10.26041/fhnw-6988
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Witschel, H. F., Pande, C., Martin, A., Laurenzi, E., & Hinkelmann, K. (2020). Visualization of patterns for hybrid learning and reasoning with human involvement. In R. Dornberger (Ed.), New trends in business information systems and technology (pp. 193–204). Springer. https://doi.org/10.1007/978-3-030-48332-6_13
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Peer reviewedLaurenzi, E., Hinkelmann, K., Jüngling, S., Montecchiari, D., Pande, C., & Martin, A. (2019). Towards an assistive and pattern learning-driven process modeling approach. In A. Martin, K. Hinkelmann, A. Gerber, D. Lenat, F. van Harmelen, & P. Clark (Eds.), Proceedings of the AAAI 2019 Spring Symposium on Combining Machine Learning with Knowledge Engineering (AAAI-MAKE 2019). https://doi.org/10.26041/fhnw-6431
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No peer reviewed content available
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Peer reviewedPande, C., Witschel, H. F., & Martin, A. (2021). ChEdventure - A chatbot-based educational adventure game for modeling tasks in information systems. 5th International Workshop on Chatbot Research (CONVERSATIONS 2021). https://irf.fhnw.ch/handle/11654/43134
Contact
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Charuta Pande
- Lecturer, MSc Business Information Systems
- Telephone
- +41 62 957 27 94 (direct)
- Y2hhcnV0YS5wYW5kZUBmaG53LmNo
- FHNW University of Applied Sciences and Arts Northwestern Switzerland
School of Business
Riggenbachstrasse 16
CH – 4600 Olten