111,國科會計劃,高階層多變量弱邊際效應風險因子交互作用辨識演算法之研究,計畫主持人,2022/08/01 ~ 2023/07/31
111,國科會產學合作計劃,連鎖型動物醫院智慧醫療輔助系統, 共同主持人,2022/06/01 ~ 2023/05/31
110,國科會計劃,多變量弱邊際效應風險因子交互作用之研究,計畫主持人,2021/05/01~2022/04/30
110,國科會計劃,以細胞平台探討乳癌荷爾蒙治療抗藥性之關鍵啟動基因與對應功能, 共同主持人,2021/08/01 ~ 2022/07/31
109,國科會計劃,使用基因定序資料建構賀爾蒙陽性乳癌患者於荷爾蒙治療抗藥性之風險預測模型, 共同主持人, 2020/08/01~2021/07/31
C-H Yang, J-C Shao, Y-H Liu, P-H Jou, Yu-Da Lin (2022, Jul). Application of Fuzzy-Based Support Vector Regression to Forecast of International Airport Freight Volumes. Mathematics, Vol. 10, Art. no. 2399.
C-W Hsu, Y-L Chang, T-S Chen, T-Y Chang, Yu-Da Lin (2021, Mar). Who Donates on Line? Segmentation Analysis And Marketing Strategies Based on Machine Learning for Online Charitable Donations in Taiwan. IEEE Access, Vol. 9, 52728 - 52740.
Y-C Su, C-Y Wu, C-H Yang, B-S Li, S-H Moi, Yu-Da Lin (2021, Feb). Machine Learning Data Imputation and Prediction of Foraging Group Size in a Kleptoparasitic Spider. Mathematics, Vol. 9, Art. no. 415.
J-Y Kan, Y-C Lee, Yu-Da Lin, W-Y Ho, S-H Moi (2020, Oct). Effect of Baseline Characteristics and Tumor Burden on Vaspin Expression and Progressive Disease in Operable Colorectal Cancer. Diagnostics, Vol. 10, Art. no. 801.
C-H Yang, S-H Moi, F Ou-Yang, L-Y Chuang, M-F Hou, Yu-Da Lin (2019, May). Identifying Risk Stratification Associated with a Cancer for Overall Survival by Deep Learning-Based CoxPH. IEEE Access, Vol.7, 67708-67717.
C-H Yang, Yu-Da Lin, L-Y Chuang, J-B Chen, H-W Chang (2017, Dec). Joint Analysis of SNP-SNP-Environment Interactions for Chronic Dialysis by an Improved Branch and Bound Algorithm. Journal of computational biology, Vol. 24(12), 1212-1225.
C-H Yang, S-H Moi, Yu-Da Lin, L-Y Chuang (2016, Jun). Genetic algorithm combined with a local search method for identifying susceptibility genes. Journal of Artificial Intelligence and Soft Computing Research, 6(3), 203–212.
C-H Yang, Yu-Da Lin, L-Y Chuang, H-W Chang (2014, May). Double-bottom chaotic map particle swarm optimization based on chi-square test to determine gene-gene interactions. BioMed Research International, Vol. 2014, Art. no. 172049.
J-Yg Tang, L-Y Chuang, E Hsi, Yu-Da Lin, C-H Yang, H-W Chang (2013, Jun). Identifying the association rules between clinicopathologic factors and higher survival performance in operation centric oral cancer patients using the Apriori algorithm. BioMed Research International, 2013, Art. no. 359634.
L-Y Chuang, Yu-Da Lin, C-H Yang (2012, May). Data clustering using chaotic particle swarm optimization. IAENG International Journal of Computer Science, Vol. 39(2), Art. no. 08.
L-Y Chuang, Yu-Da Lin, H-W Chang, C-H Yang (2010, Aug). PtRNASS: Prediction of tRNA secondary structure from nucleotide sequences. IAENG International Journal of Computer Science, Vol. 37, Art. no. 3.
W-Z Huang, B-Y Lin, M-X Wu, S-H Shi, Y-H Zheng, Yu-Da Lin (2022, May). A Study of Improved Particle Swarm Optimization Algorithm for Human Activity Recognition. Conference on Information Technology and Applications in Outlying Island, Penghu, Taiwan.
B-Y Lin, C-N Kuo, Yu-Da Lin (2021, Nov). A Clustering-Based Gauss Chaotic Mapping Particle Swarm Optimization for Auto Labeling in Human Activity Recognition. The 26th International Conference on Technologies and Applications of Artificial Intelligence, Taichung, Taiwan.
W-C Huang, Yu-Da Lin (2021, Oct). Activity Recognition Based on a Single Chest-Mounted Accelerometer Using an Improved Clustering Approach. The 8th IEEE & 9th The International Conference on Science, Education, and Viable Engineering, Taitung, Taiwan.
Yu-Da Lin, T-T Shih, Y-D Wu, C-H Yang (2021, May). Multi-objective Catfish Particle Swarm Optimization Based on Multifactor Dimensionality Reduction for detecting Asso-ciation between Single Nucleotide Polymorphisms. Conference on Information Technology and Applications in Outlying Island, Kinmen, Taiwan.
C-H Yang, L-Y Chuang, Yu-Da Lin (2020, Nov). Particular primers design using a machine learning algorithm for polymerase chain reaction. IEEE International Conference on Science, Education, and Viable Engineering, Penghu, Taiwan.
L-Y Chuang, Y-C Song, Yu-Da Lin, C-H Yang (2020, Feb). Detection of CpG Islands in the Human Genome Based on a Reinforcement Learning Difference Evolution. Symposium on Recent Advances in Cellular and Molecular Biology, Pingtung, Taiwan.
L-Y Chuang, S-H Moi, C-H Yang, Yu-Da Lin (2019, May). An effective strategy to enhance multi-factor dimensionality reduction for identifying the interaction between factors in case-control study. IEEE Eurasia Conference on Biomedical Engineering, Healthcare and Sustainability, Okinawa, Japan.
L-Y Chuang, Yu-Da Lin, C-H Yang (2018, Jun). An improved multifactor dimensionality reduction to detect gene-gene interactions. International Conference on Intelligent, Interactive Systems and Applications, Hong Kong.
L-Y Chuang, Yu-Da Lin, C-H Yang (2017, May). Identification of SNP barcodes with breast cancer using complementary-logical particle swarm optimization. International Conference on Computer and Information Sciences, Kyoto, Japan.
L-Y Chuang, Y-S Lin, Y-K Kao, Yu-Da Lin, C-H Yang (2015, Apr). High exploration particle swarm optimization for clustering problems. IEEE Congress on Evolutionary Computation, Sendai, Japan.
M-L Hwang, Yu-Da Lin, L-Y Chuang, C-H Yang (2014, Jun). Determination of the SNP-SNP interaction between breast cancer related genes to analyze the disease susceptibility. International Conference of Knowledge Engineering and Applications, Hong Kong.
L-Y Chuang, Yu-Da Lin, C-H Yang (2013, Apr). Gauss chaotic map particle swarm optimization for oxidative damage repair related genes to generate SNP barcode. The 2013 Conference on Information Technology and Applications in Outlying island, Kinmen, Taiwan.
L-Y Chuang, Y-S Lin, Yu-Da Lin, C-H Yang (2012, Nov). Linear decreasing weight particle swarm optimization with time-variant acceleration coefficients based on linkage disequilibrium for Tag SNPs selection problem. The 2012 Conference on Technologies and Applications of Artificial Intelligence, Tainan, Taiwan.
L-Y Chuang, Y-C Chiang, Yu-Da Lin, C-H Yang (2011, Dec). An improved genetic algorithm for feature selection and classification. Cross-Strait Conference on Information Science and Technology and iCube, Taipei, Taiwan.