Kolar Narayanappa, A., & Amrit, C. (2024). An Analysis of the Barriers Preventing the Implementation of MLOps. In IFIP WG 8.6 International Working Conference on Transfer and Diffusion of IT: TDIT 2023 (pp. 101–114). (IFIP Advances in Information and Communication Technology; Vol. 697). Springer. https://doi.org/10.1007/978-3-031-50188-3_10
Amrit, C., & Abdi, A. (2023). Methods and Applications of Data Mining in Business Domains. Applied Sciences (Switzerland), 13(19), Article 10774. https://doi.org/10.3390/app131910774[details]
Ensing, S., & Amrit, C. (2023). Agent-based modelling and simulation of public transport to identify effects of network changes on passenger flows. In H. Zaynidinov, M. Singh, U. Shanker Tiwary, & D. Singh (Eds.), Intelligent Human Computer Interaction: 14th International Conference, IHCI 2022, Tashkent, Uzbekistan, October 20–22, 2022 : revised selected papers (pp. 373-385). (Lecutre Notes in Computer Science; Vol. 13741). Springer. https://doi.org/10.1007/978-3-031-27199-1_37[details]
Zarifianshafiei, Z., & Amrit, C. (in press). Using Machine Learning of Sensor Data to Estimate the Production of Cutter Suction Dredgers. In International Conference on Intelligent Human Computer Interaction (IHCI 2023) Springer.
2022
Amrit, C., den Besten, M., Capiluppi, A., & Robles, G. (2022). Guest Editorial: Collaboration and Innovation Dynamics in Software Ecosystems. IEEE Transactions on Engineering Management, 69(6), 3584. https://doi.org/10.1109/TEM.2022.3196477
2021
Abdi, A., & Amrit, C. (2021). A review of travel and arrival-time prediction methods on road networks: classification, challenges and opportunities. PeerJ Computer Science, 7, Article e689. https://doi.org/10.7717/peerj-cs.689[details]
Emmens, T., Amrit, C., Abdi, A., & Ghosh, M. (2021). The promises and perils of Automatic Identification System data. Expert Systems With Applications, 178, Article 114975. https://doi.org/10.1016/j.eswa.2021.114975[details]
Khalil, S., Amrit, C., Koch, T., & Dugundji, E. (2021). Forecasting Public Transport Ridership: Management of Information Systems using CNN and LSTM Architectures. Procedia Computer Science, 184, 283-290. Advance online publication. https://doi.org/10.1016/j.procs.2021.03.037[details]
Prakoso, D. W., Abdi, A., & Amrit, C. (2021). Short text similarity measurement methods: a review. Soft Computing, 25(6), 4699–4723. Advance online publication. https://doi.org/10.1007/s00500-020-05479-2[details]
den Besten, M., Amrit, C., Capiluppi, A., & Robles, G. (2021). Collaboration and Innovation Dynamics in Software Ecosystems: A Technology Management Research Perspective. IEEE Transactions on Engineering Management, 68(5), 1532-1537. Advance online publication. https://doi.org/10.1109/TEM.2020.3015969[details]
van Capelleveen, G., Amrit, C., Zijm, H., Yazan, D. M., & Abdi, A. (2021). Toward building recommender systems for the circular economy: Exploring the perils of the European Waste Catalogue. Journal of Environmental Management, 277, Article 111430. https://doi.org/10.1016/j.jenvman.2020.111430[details]
van Capelleveen, G., van Wieren, J., Amrit, C., Yazan, D. M., & Zijm, H. (2021). Exploring recommendations for circular supply chain management through interactive visualisation. Decision support systems, 140, Article 113431. https://doi.org/10.1016/j.dss.2020.113431[details]
Massey, T., Amrit, C., & van Capelleveen, G. (2020). Analysing the trend of Islamophobia in Blog Communities using Machine Learning and Trend Analysis. In Proceedings of the 28th European Conference on Information Systems (ECIS) Article 188 AIS eLibrary. https://aisel.aisnet.org/ecis2020_rp/188[details]
Taribuka, D., & Amrit, C. (2020). Agile in the Banking Industry: Exploring Multiple Levels of Agile Transformation Process Facilitators and Challenges from a People Perspective. In Proceedings of the 28th European Conference on Information Systems (ECIS) Article 198 AIS eLibrary. https://aisel.aisnet.org/ecis2020_rp/198/[details]
2019
Patel, A., Amrit, C., & Sundaram, D. (2019). The Perils of Using Social Media Data to Predict the Spread of Diseases. In T. X. Bui (Ed.), Proceedings of the 52nd Annual Hawaii International Conference on System Sciences: January 8-11, 2019, Maui, Hawaii (pp. 4028-4037). HICSS. https://doi.org/10.24251/HICSS.2019.488[details]
Somsen, A. M., Langbroek, D., Borgman, H., & Amrit, C. (2019). Rerouting Digital Transformations: Six Cases in the Airline Industry. In T. X. Bui (Ed.), Proceedings of the 52nd Annual Hawaii International Conference on System Sciences: January 8-11, 2019, Maui, Hawaii (pp. 4947-4956). HICSS. https://doi.org/10.24251/HICSS.2019.595[details]
Windt, B., Borgman, H., & Amrit, C. (2019). Understanding Leadership Challenges and Responses in Data-driven Transformations. In T. X. Bui (Ed.), Proceedings of the 52nd Annual Hawaii International Conference on System Sciences: January 8-11, 2019, Maui, Hawaii (pp. 4987-4996). HICSS. https://doi.org/10.24251/HICSS.2019.599[details]
van Capelleveen, G., Amrit, C., Yazan, D. M., & Zijm, H. (2019). The recommender canvas: A model for developing and documenting recommender system design. Expert Systems With Applications, 129, 97-117. https://doi.org/10.1016/j.eswa.2019.04.001[details]
van Capelleveen, G., Amrit, C., & Yazan, D. M. (2018). A Literature Survey of Information Systems Facilitating the Identification of Industrial Symbiosis. In B. Otjacques, P. Hitzelberger, S. Naumann, & V. Wohlgemuth (Eds.), From Science to Society: New Trends in Environmental Informatics (pp. 155-169). (Progress in IS). Springer. Advance online publication. https://doi.org/10.1007/978-3-319-65687-8_14
van Capelleveen, G., Amrit, C., Yazan, D. M., & Zijm, H. (2018). The Influence of Knowledge in the Design of a Recommender System to Facilitate Industrial Symbiosis Markets. Environmental Modelling & Software, 110, 139-152. https://doi.org/10.1016/j.envsoft.2018.04.004
2020
van Capelleveen, G. C. (2020). Industrial Symbiosis Recommender Systems. [Thesis, fully external, University of Twente]. Universiteit Twente. https://doi.org/10.3990/1.9789036550079
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