| On transfer learning for chatter detection in turning using wavelet packet transform and ensemble empirical mode decomposition MC Yesilli, FA Khasawneh, A Otto CIRP Journal of Manufacturing Science and Technology 28, 118-135, 2020 | 91 | 2020 |
| Topological feature vectors for chatter detection in turning processes MC Yesilli, FA Khasawneh, A Otto The International Journal of Advanced Manufacturing Technology 119 (9), 5687 …, 2022 | 34 | 2022 |
| Chatter detection in turning using machine learning and similarity measures of time series via dynamic time warping MC Yesilli, FA Khasawneh, A Otto Journal of Manufacturing Processes 77, 190-206, 2022 | 32 | 2022 |
| Transfer learning for autonomous chatter detection in machining MC Yesilli, FA Khasawneh, BP Mann Journal of Manufacturing Processes 80, 1-27, 2022 | 25 | 2022 |
| Chatter diagnosis in milling using supervised learning and topological features vector MC Yesilli, S Tymochko, FA Khasawneh, E Munch 2019 18th IEEE international conference on machine learning and applications …, 2019 | 24 | 2019 |
| Teaspoon: A comprehensive python package for topological signal processing AD Myers, M Yesilli, S Tymochko, F Khasawneh, E Munch TDA {\&} Beyond, 2020 | 20 | 2020 |
| Automated surface texture analysis via discrete cosine transform and discrete wavelet transform MC Yesilli, J Chen, FA Khasawneh, Y Guo Precision Engineering 77, 141-152, 2022 | 15 | 2022 |
| On transfer learning of traditional frequency and time domain features in turning MC Yesilli, FA Khasawneh International Manufacturing Science and Engineering Conference 84263 …, 2020 | 14 | 2020 |
| Turning dataset for chatter diagnosis using machine learning F Khasawneh, A Otto, M Yesilli Mendeley Data 1, 2019, 2019 | 12 | 2019 |
| Data-driven and automatic surface texture analysis using persistent homology MC Yesilli, FA Khasawneh 2021 20th IEEE International Conference on Machine Learning and Applications …, 2021 | 7 | 2021 |
| 2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA) MC Yesilli, FA Khasawneh IEEE, 2021 | 6 | 2021 |
| Exploring surface texture quantification in piezo vibration striking treatment (PVST) using topological measures MC Yesilli, MM Chumley, J Chen, FA Khasawneh, Y Guo International Manufacturing Science and Engineering Conference 85819 …, 2022 | 4 | 2022 |
| Pattern characterization using topological data analysis: Application to piezo vibration striking treatment MM Chumley, MC Yesilli, J Chen, FA Khasawneh, Y Guo Precision Engineering 83, 42-57, 2023 | 2 | 2023 |
| Data driven model identification for a chaotic pendulum with variable interaction potential MC Yesilli, FA Khasawneh International Design Engineering Technical Conferences and Computers and …, 2020 | 1 | 2020 |
| Teaspoon: A Python Package for Topological Signal Processing FA Khasawneh, E Munch, D Barnes, MM Chumley, İ Güzel, AD Myers, ... Journal of Open Source Software 10 (107), 7243, 2025 | | 2025 |
| Topological Measures for Pattern quantification of Impact Centers in Piezo Vibration Striking Treatment (PVST) MC Yesilli, MM Chumley, J Chen, FA Khasawneh, Y Guo arXiv preprint arXiv:2209.05531, 2022 | | 2022 |
| Topological Data Analysis and Machine Learning Framework for Studying Time Series and Image Data MC Yesilli Michigan State University, 2022 | | 2022 |
| Experimental Investigations Into Broadband Vibration Absorption of Metastructures With Lattice Designs JR Tempelman, A Myers, MC Yesilli, FA Khasawneh International Design Engineering Technical Conferences and Computers and …, 2019 | | 2019 |
| Teaspoon: A Python Package for Topological Signal S Tymochko, M Yesilli | | |
Firas KhasawnehMichigan State UniversityVerified email at egr.msu.edu
