| A survey of the advancing use and development of machine learning in smart manufacturing M Sharp, R Ak, T Hedberg Jr Journal of manufacturing systems 48, 170-179, 2018 | 309 | 2018 |
| Automatic localization of casting defects with convolutional neural networks M Ferguson, R Ak, YTT Lee, KH Law 2017 IEEE international conference on big data (big data), 1726-1735, 2017 | 275 | 2017 |
| Detection and segmentation of manufacturing defects with convolutional neural networks and transfer learning M Ferguson, R Ak, YTT Lee, KH Law Smart and sustainable manufacturing systems 2 (1), 137-164, 2018 | 270 | 2018 |
| Two machine learning approaches for short-term wind speed time-series prediction R Ak, O Fink, E Zio IEEE transactions on neural networks and learning systems 27 (8), 1734-1747, 2015 | 203 | 2015 |
| Transformers4Rec: Bridging the Gap between NLP and Sequential / Session-Based Recommendation G de Souza Pereira Moreira, S Rabhi, JM Lee, R Ak, E Oldridge 15th ACM Conference on Recommender Systems, 143-153, 2021 | 190 | 2021 |
| An interval-valued neural network approach for uncertainty quantification in short-term wind speed prediction R Ak, V Vitelli, E Zio IEEE transactions on neural networks and learning systems 26 (11), 2787-2800, 2015 | 101 | 2015 |
| NSGA-II-trained neural network approach to the estimation of prediction intervals of scale deposition rate in oil & gas equipment R Ak, Y Li, V Vitelli, E Zio, EL Droguett, CMC Jacinto Expert Systems with Applications 40 (4), 1205-1212, 2013 | 80 | 2013 |
| A survey on knowledge transfer for manufacturing data analytics SH Bang, R Ak, A Narayanan, YT Lee, H Cho Computers in Industry 104, 116-130, 2019 | 61 | 2019 |
| Adequacy assessment of a wind-integrated system using neural network-based interval predictions of wind power generation and load R Ak, YF Li, V Vitelli, E Zio International Journal of Electrical Power & Energy Systems 95, 213-226, 2018 | 61 | 2018 |
| Gaussian Process Regression (GPR) Representation in Predictive Model Markup Language (PMML) J Park, D Lechevalier, R Ak, KH Ferguson, Max, Law, YT Lee, ... ASTM International's journal, Smart and Sustainable Manufacturing Systems 1 …, 2017 | 44 | 2017 |
| A neural network meta-model and its application for manufacturing D Lechevalier, S Hudak, R Ak, YT Lee, S Foufou 2015 IEEE International Conference on Big Data (Big Data), 1428-1435, 2015 | 36 | 2015 |
| Analysis and optimization based on reusable knowledge base of process performance models A Brodsky, G Shao, M Krishnamoorthy, A Narayanan, D Menascé, R Ak The International Journal of Advanced Manufacturing Technology 88, 337-357, 2017 | 32 | 2017 |
| Transformers with multi-modal features and post-fusion context for e-commerce session-based recommendation GSP Moreira, S Rabhi, R Ak, MY Kabir, E Oldridge arXiv preprint arXiv:2107.05124, 2021 | 30 | 2021 |
| A time-based model and GIS framework for assessing hazardous materials transportation risk in urban areas R Ak, M Bahrami, B Bozkaya Journal of Transport & Health 19, 100943, 2020 | 30 | 2020 |
| A genetic algorithm and neural network technique for predicting wind power under uncertainty YFL Ronay Aka, V Vitellia, E Zio Chemical Engineering 33, 2013 | 30 | 2013 |
| Analysis and optimization in smart manufacturing based on a reusable knowledge base for process performance models A Brodsky, G Shao, M Krishnamoorthy, A Narayanan, D Menascé, R Ak 2015 IEEE International Conference on Big Data (Big Data), 1418-1427, 2015 | 27 | 2015 |
| Data analytics and uncertainty quantification for energy prediction in manufacturing R Ak, R Bhinge 2015 IEEE International Conference on Big Data (Big Data), 2782-2784, 2015 | 23 | 2015 |
| Detection and segmentation of manufacturing defects with convolutional neural networks and transfer learning. Smart Sustain Manuf. Syst.(2018) M Ferguson, A Ronay, YT Tina Lee, KH Law | 21 | 2018 |
| Multi-objective genetic algorithm optimization of a neural network for estimating wind speed prediction intervals R Ak, YF Li, V Vitelli, E Zio | 21 | 2013 |
| A proposed risk model and a GIS framework for hazardous materials transportation R Ak, B Bozkaya 2008 IEEE International Engineering Management Conference, 1-5, 2008 | 21 | 2008 |
Valeria VitelliAssociate Professor, Department of Biostatistics, University of Oslo, NorwayEmail yang diverifikasi di medisin.uio.no
