| Prediction of stock price direction using a hybrid GA-XGBoost algorithm with a three-stage feature engineering process KK Yun, SW Yoon, D Won Expert Systems with Applications 186, 115716, 2021 | 192 | 2021 |
| Sweat and saliva cortisol response to stress and nutrition factors P Pearlmutter, G DeRose, C Samson, N Linehan, Y Cen, L Begdache, ... Scientific reports 10 (1), 19050, 2020 | 87 | 2020 |
| Medical image synthesis with generative adversarial networks for tissue recognition Q Zhang, H Wang, H Lu, D Won, SW Yoon 2018 IEEE International Conference on Healthcare Informatics (ICHI), 199-207, 2018 | 77 | 2018 |
| A dual-tree complex wavelet transform based convolutional neural network for human thyroid medical image segmentation H Lu, H Wang, Q Zhang, D Won, SW Yoon 2018 IEEE international conference on healthcare informatics (ICHI), 191-198, 2018 | 58 | 2018 |
| Interpretable stock price forecasting model using genetic algorithm-machine learning regressions and best feature subset selection KK Yun, SW Yoon, D Won Expert Systems with Applications 213, 118803, 2023 | 51 | 2023 |
| A 3D convolutional neural network for volumetric image semantic segmentation H Lu, H Wang, Q Zhang, SW Yoon, D Won Procedia Manufacturing 39, 422-428, 2019 | 49 | 2019 |
| Classification of cervical cancer dataset A Choudhury, YM Wesabi, D Won arXiv preprint arXiv:1812.10383, 2018 | 49 | 2018 |
| Contour-enhanced Attention CNN for CT-based COVID-19 Segmentation R Karthik, R Menaka, D Won Pattern Recognition, 108538, 2022 | 46 | 2022 |
| Prediction of chronic kidney disease using data mining techniques MS Gharibdousti, K Azimi, S Hathikal, DH Won IIE Annual Conference. Proceedings, 2135-2140, 2017 | 46 | 2017 |
| Lung nodule diagnosis on 3D computed tomography images using deep convolutional neural networks Q Zhang, H Wang, SW Yoon, D Won, K Srihari Procedia Manufacturing 39, 363-370, 2019 | 37 | 2019 |
| Healthcare intelligence: turning data into knowledge H Yang, E Kundakcioglu, J Li, T Wu, JR Mitchell, AK Hara, W Pavlicek, ... IEEE Intelligent Systems 29 (3), 54-68, 2014 | 35 | 2014 |
| Performance analysis of deep learning models for detection of autism spectrum disorder from EEG signals. M Radhakrishnan, K Ramamurthy, KK Choudhury, D Won, TA Manoharan Traitement du Signal 38 (3), 2021 | 31 | 2021 |
| Ischemic lesion segmentation using ensemble of multi-scale region aligned CNN R Karthik, R Menaka, M Hariharan, D Won Computer Methods and Programs in Biomedicine 200, 105831, 2021 | 29 | 2021 |
| A mixed integer linear programming support vector machine for cost-effective feature selection IG Lee, Q Zhang, SW Yoon, D Won Knowledge-based systems 203, 106145, 2020 | 28 | 2020 |
| Synthetic sampling from small datasets: A modified mega-trend diffusion approach using k-nearest neighbors J Sivakumar, K Ramamurthy, M Radhakrishnan, D Won Knowledge-based systems 236, 107687, 2022 | 23 | 2022 |
| The effect of misaligned passive component on fatigue life of solder joints and solder shape J Ha, K Pan, H Wang, DH Won, SB Park 2020 19th IEEE Intersociety Conference on Thermal and Thermomechanical …, 2020 | 23 | 2020 |
| Real-Time stencil printing optimization using a hybrid multi-layer online sequential extreme learning and evolutionary search approach H Lu, H Wang, SW Yoon, D Won IEEE Transactions on Components, Packaging and Manufacturing Technology 9 …, 2019 | 21 | 2019 |
| Deep learning-based school attendance prediction for autistic students M Jarbou, D Won, J Gillis-Mattson, R Romanczyk Scientific Reports 12 (1), 1431, 2022 | 20 | 2022 |
| Noncontact reflow oven thermal profile prediction based on artificial neural network Y Li, J He, D Won, SW Yoon IEEE Transactions on Components, Packaging and Manufacturing Technology 11 …, 2021 | 20 | 2021 |
| CT-based severity assessment for COVID-19 using weakly supervised non-local CNN R Karthik, R Menaka, M Hariharan, D Won Applied Soft Computing 121, 108765, 2022 | 19 | 2022 |
Sang Won YoonProfessor, SUNY at BinghamtonVerified email at binghamton.edu
