Taha Falatouri
Orcid: 0000-0001-9586-3180
According to our database1,
Taha Falatouri
authored at least 9 papers
between 2020 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
2020
2021
2022
2023
2024
0
1
2
3
4
1
1
2
1
3
1
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2024
Harnessing the Power of LLMs for Service Quality Assessment From User-Generated Content.
IEEE Access, 2024
2023
Applications of Large Language Models (LLMs) in Business Analytics - Exemplary Use Cases in Data Preparation Tasks.
Proceedings of the HCI International 2023 - Late Breaking Papers, 2023
Shedding Light on the Black Box: Explainable AI for Predicting Household Appliance Failures.
Proceedings of the HCI International 2023 - Late Breaking Papers, 2023
2022
Improving Sales Prediction for Point-of-Sale Retail Using Machine Learning and Clustering.
Proceedings of the Machine Learning and Data Analytics for Solving Business Problems: Methods, 2022
Maintenance Forecasting Model for Geographically Distributed Home Appliances Using Spatial-Temporal Networks.
Proceedings of the CENTERIS 2022 - International Conference on ENTERprise Information Systems / ProjMAN - International Conference on Project MANagement / HCist, 2022
2021
Predictive Analytics for Demand Forecasting - A Comparison of SARIMA and LSTM in Retail SCM.
Proceedings of the 3rd International Conference on Industry 4.0 and Smart Manufacturing (ISM 2022), Virtual Event / Upper Austria University of Applied Sciences - Hagenberg Campus, 2021
Applications of Big Data Analytics in Supply Chain Management: Findings from Expert Interviews.
Proceedings of the ICCMB 2021: The 4th International Conference on Computers in Management and Business, Singapore, 30 January, 2021, 2021
Dimensions of Data Analytics in Supply Chain Management: Objectives, Indicators and Data Questions.
Proceedings of the ICCMB 2021: The 4th International Conference on Computers in Management and Business, Singapore, 30 January, 2021, 2021
2020
Evaluating Technique for Capturing Customer Satisfaction Data in Retail Supply Chain.
Proceedings of the ICEEG 2020: The 4th International Conference on E-commerce, 2020