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2020 – today
- 2022
[j132]Binhua Yang
, Tongyan Li, Haidi Xie, Yulin Liao, Yi-Ping Phoebe Chen:
Classification of Diabetic Retinopathy Severity Based on GCA Attention Mechanism. IEEE Access 10: 2729-2739 (2022)- [j131]Wei Lan, Yi Dong, Qingfeng Chen, Ruiqing Zheng, Jin Liu, Yi Pan, Yi-Ping Phoebe Chen:
KGANCDA: predicting circRNA-disease associations based on knowledge graph attention network. Briefings Bioinform. 23(1) (2022) - [j130]Timothy R. McIntosh, A. S. M. Kayes, Yi-Ping Phoebe Chen, Alex Ng, Paul A. Watters:
Ransomware Mitigation in the Modern Era: A Comprehensive Review, Research Challenges, and Future Directions. ACM Comput. Surv. 54(9): 197:1-197:36 (2022) - [j129]Omar A. M. Salem, Feng Liu, Yi-Ping Phoebe Chen, Ahmed Hamed, Xi Chen:
Fuzzy joint mutual information feature selection based on ideal vector. Expert Syst. Appl. 193: 116453 (2022) - [j128]Linh Tran, Alessio Bonti, Lianhua Chi, Mohamed Abdelrazek, Yi-Ping Phoebe Chen:
Advanced calibration of mortality prediction on cardiovascular disease using feature-based artificial neural network. Expert Syst. Appl. 203: 117393 (2022) - [j127]Sadaf Naz, Khoa Tran Phan, Yi-Ping Phoebe Chen:
A comprehensive review of federated learning for COVID-19 detection. Int. J. Intell. Syst. 37(3): 2371-2392 (2022) - [j126]Wei Lan, Ximin Wu, Qingfeng Chen, Wei Peng, Jianxin Wang, Yi-Ping Phoebe Chen:
GANLDA: Graph attention network for lncRNA-disease associations prediction. Neurocomputing 469: 384-393 (2022) - [j125]Hsiao-Fang Sunny Sun, Yi-Ping Phoebe Chen:
Editorial. IEEE ACM Trans. Comput. Biol. Bioinform. 19(1): 1-2 (2022) - [j124]Wei Lan, Dehuan Lai, Qingfeng Chen, Ximin Wu, Baoshan Chen, Jin Liu, Jianxin Wang, Yi-Ping Phoebe Chen:
LDICDL: LncRNA-Disease Association Identification Based on Collaborative Deep Learning. IEEE ACM Trans. Comput. Biol. Bioinform. 19(3): 1715-1723 (2022) - [c82]Omar A. M. Salem, Haowen Liu, Feng Liu, Yi-Ping Phoebe Chen, Xi Chen:
Fuzzy Information Measures Feature Selection Using Descriptive Statistics Data. KSEM (3) 2022: 77-90 - [i5]Yu Zheng, Ming Jin, Yixin Liu, Lianhua Chi, Khoa T. Phan, Shirui Pan, Yi-Ping Phoebe Chen:
From Unsupervised to Few-shot Graph Anomaly Detection: A Multi-scale Contrastive Learning Approach. CoRR abs/2202.05525 (2022) - [i4]Zikai Song, Junqing Yu, Yi-Ping Phoebe Chen, Wei Yang:
Transformer Tracking with Cyclic Shifting Window Attention. CoRR abs/2205.03806 (2022) - [i3]Lu Yu, Wei Xiang, Juan Fang, Yi-Ping Phoebe Chen, Lianhua Chi:
eX-ViT: A Novel eXplainable Vision Transformer for Weakly Supervised Semantic Segmentation. CoRR abs/2207.05358 (2022) - [i2]Jianggang Zhu, Zheng Wang, Jingjing Chen, Yi-Ping Phoebe Chen, Yu-Gang Jiang:
Balanced Contrastive Learning for Long-Tailed Visual Recognition. CoRR abs/2207.09052 (2022) - 2021
- [j123]Marzieh R. Moghadam, Yi-Ping Phoebe Chen:
Tracking leukocytes in intravital time lapse images using 3D cell association learning network. Artif. Intell. Medicine 118: 102129 (2021) - [j122]Chun Yen Lee, Yi-Ping Phoebe Chen:
Prediction of drug adverse events using deep learning in pharmaceutical discovery. Briefings Bioinform. 22(2): 1884-1901 (2021) - [j121]Runbin Tang, Zuguo Yu, Yuanlin Ma, Yaoqun Wu, Yi-Ping Phoebe Chen, Limsoon Wong, Jinyan Li:
Genetic source completeness of HIV-1 circulating recombinant forms (CRFs) predicted by multi-label learning. Bioinform. 37(6): 750-758 (2021) - [j120]M. A. P. Chamikara, Yi-Ping Phoebe Chen:
MedFused: A framework to discover the relationships between drug chemical functional group impacts and side effects. Comput. Biol. Medicine 133: 104361 (2021) - [j119]Timothy R. McIntosh, A. S. M. Kayes, Yi-Ping Phoebe Chen, Alex Ng, Paul A. Watters:
Dynamic user-centric access control for detection of ransomware attacks. Comput. Secur. 111: 102461 (2021) - [j118]Timothy R. McIntosh, Paul A. Watters, A. S. M. Kayes, Alex Ng, Yi-Ping Phoebe Chen:
Enforcing situation-aware access control to build malware-resilient file systems. Future Gener. Comput. Syst. 115: 568-582 (2021) - [j117]Omar A. M. Salem, Feng Liu, Yi-Ping Phoebe Chen, Xi Chen:
Feature selection and threshold method based on fuzzy joint mutual information. Int. J. Approx. Reason. 132: 107-126 (2021) - [j116]Chun Yen Lee, Yi-Ping Phoebe Chen:
Descriptive prediction of drug side-effects using a hybrid deep learning model. Int. J. Intell. Syst. 36(6): 2491-2510 (2021) - [j115]Rokaya Rehouma, Michael Buchert, Yi-Ping Phoebe Chen:
Machine learning for medical imaging-based COVID-19 detection and diagnosis. Int. J. Intell. Syst. 36(9): 5085-5115 (2021) - [j114]Shirin Akther Khanam, Fei Liu, Yi-Ping Phoebe Chen:
Joint knowledge-powered topic level attention for a convolutional text summarization model. Knowl. Based Syst. 228: 107273 (2021) - [j113]Syed Qasim Abbas, Fawad Ahmed, Yi-Ping Phoebe Chen:
Perceptual image hashing using transform domain noise resistant local binary pattern. Multim. Tools Appl. 80(7): 9849-9875 (2021) - [j112]Noorul Amin, Annette McGrath, Yi-Ping Phoebe Chen:
Reply to: LncADeep performance on full-length transcripts. Nat. Mach. Intell. 3(3): 196 (2021) - [j111]Saba Rabab, Edmond Breen, Alem Gebremedhin, Fan Shi, Pieter Badenhorst, Yi-Ping Phoebe Chen, Hans D. Daetwyler:
A New Method for Extracting Individual Plant Bio-Characteristics from High-Resolution Digital Images. Remote. Sens. 13(6): 1212 (2021) - [j110]Tongyan Li, Yingxiang Li, Yi-Ping Phoebe Chen:
Novel Multidimensional Collaborative Filtering Algorithm Based on Improved Item Rating Prediction. Sci. Program. 2021: 2592604:1-2592604:14 (2021) - [j109]Qingfeng Chen, Dehuan Lai, Wei Lan, Ximin Wu, Baoshan Chen, Jin Liu, Yi-Ping Phoebe Chen, Jianxin Wang:
ILDMSF: Inferring Associations Between Long Non-Coding RNA and Disease Based on Multi-Similarity Fusion. IEEE ACM Trans. Comput. Biol. Bioinform. 18(3): 1106-1112 (2021) - [j108]Louxin Zhang, Shaoliang Peng, Yi-Ping Phoebe Chen, David Sankoff, Guoliang Li, Hong-Yu Zhang:
Guest Editorial for the 17th Asia Pacific Bioinformatics Conference. IEEE ACM Trans. Comput. Biol. Bioinform. 18(6): 2123-2124 (2021) - [j107]Noorul Amin, Annette McGrath, Yi-Ping Phoebe Chen:
FexRNA: Exploratory Data Analysis and Feature Selection of Non-Coding RNA. IEEE ACM Trans. Comput. Biol. Bioinform. 18(6): 2795-2801 (2021) - [j106]Marzieh R. Moghadam, Yi-Ping Phoebe Chen:
Tracking Neutrophil Migration in Zebrafish Model Using Multi-Channel Feature Learning. IEEE J. Biomed. Health Informatics 25(4): 1197-1205 (2021) - [j105]Chun Yen Lee, Yi-Ping Phoebe Chen:
New Insights Into Drug Repurposing for COVID-19 Using Deep Learning. IEEE Trans. Neural Networks Learn. Syst. 32(11): 4770-4780 (2021) - [c81]Fu Zhou, Fei Luo, Kafui Efio-Akolly, Ronald Bbosa, Wen Cai Huang, Jia Ni Zou, Yi-Ping Phoebe Chen, Feng Liu:
HAUNet-3D: a Novel Hierarchical Attention 3D UNet for Lung Nodule Segmentation. BIBM 2021: 1213-1220 - [c80]Bohong Yang, Zijian Wang, Wu Ran, Hong Lu, Yi-Ping Phoebe Chen:
Multi-Directional Convolution Networks with Spatial-Temporal Feature Pyramid Module for Action Recognition. ICASSP 2021: 2440-2444 - [c79]Shirin Akther Khanam, Fei Liu, Yi-Ping Phoebe Chen:
Concept-based Topic Attention for a Convolutional Sequence Document Summarization Model. IJCNN 2021: 1-8 - [c78]Zikai Song, Zhiwen Wan, Wei Yuan, Ying Tang, Junqing Yu, Yi-Ping Phoebe Chen:
Distractor-Aware Tracker with a Domain-Special Optimized Benchmark for Soccer Player Tracking. ICMR 2021: 276-284 - [c77]Tingting Wang, Na Feng, Junqing Yu, Yunfeng He, Yangliu Hu, Yi-Ping Phoebe Chen:
Shot Boundary Detection Through Multi-stage Deep Convolution Neural Network. MMM (1) 2021: 456-468 - [i1]Yu Zheng, Ming Jin, Yixin Liu, Lianhua Chi, Khoa T. Phan, Yi-Ping Phoebe Chen:
Generative and Contrastive Self-Supervised Learning for Graph Anomaly Detection. CoRR abs/2108.09896 (2021) - 2020
- [j104]Abukari Mohammed Yakubu, Yi-Ping Phoebe Chen:
Ensuring privacy and security of genomic data and functionalities. Briefings Bioinform. 21(2): 511-526 (2020) - [j103]Wei Lan, Mingrui Zhu, Qingfeng Chen, Baoshan Chen, Jin Liu, Min Li, Yi-Ping Phoebe Chen:
CircR2Cancer: a manually curated database of associations between circRNAs and cancers. Database J. Biol. Databases Curation 2020 (2020) - [j102]Tharam S. Dillon, Yi-Ping Phoebe Chen, Elizabeth Chang, Mukesh K. Mohania, Vish Ramakonar:
Conjoint Knowledge Discovery Utilizing Data and Content with Applications in Business, Bio-medicine, Transport Logistics and Electrical Power Systems. Comput. Syst. Sci. Eng. 35(5): 321-334 (2020) - [j101]Omar A. M. Salem, Feng Liu, Yi-Ping Phoebe Chen, Xi Chen:
Ensemble Fuzzy Feature Selection Based on Relevancy, Redundancy, and Dependency Criteria. Entropy 22(7): 757 (2020) - [j100]Fei Liu, Shirin Akther Khanam, Yi-Ping Phoebe Chen:
A Human-Machine Language Dictionary. Int. J. Comput. Intell. Syst. 13(1): 904-913 (2020) - [j99]Na Feng, Zikai Song, Junqing Yu, Yi-Ping Phoebe Chen, Yizhu Zhao, Yunfeng He, Tao Guan:
SSET: a dataset for shot segmentation, event detection, player tracking in soccer videos. Multim. Tools Appl. 79(39-40): 28971-28992 (2020) - [j98]Noorul Amin, Annette McGrath, Yi-Ping Phoebe Chen:
Author Correction: Evaluation of deep learning in non-coding RNA classification. Nat. Mach. Intell. 2(4): 236 (2020) - [j97]Amir Anees, Yi-Ping Phoebe Chen:
Designing secure substitution boxes based on permutation of symmetric group. Neural Comput. Appl. 32(11): 7045-7056 (2020) - [j96]Qingfeng Chen, Zhao Zhe, Wei Lan, Ruchang Zhang, Zhiqiang Wang, Cheng Luo, Yi-Ping Phoebe Chen:
Erratum to: Identifying miRNA-disease association based on integrating miRNA topological similarity and functional similarity. Quant. Biol. 8(3): 277 (2020) - [j95]Chandramani Chaudhary, Poonam Goyal, Dhanashree Nellayi Prasad, Yi-Ping Phoebe Chen:
Enhancing the Quality of Image Tagging Using a Visio-Textual Knowledge Base. IEEE Trans. Multim. 22(4): 897-911 (2020) - [j94]Chandramani Chaudhary, Poonam Goyal, Navneet Goyal, Yi-Ping Phoebe Chen:
Image Retrieval for Complex Queries Using Knowledge Embedding. ACM Trans. Multim. Comput. Commun. Appl. 16(1): 13:1-13:23 (2020) - [c76]Zikai Song, Junqing Yu, Hengyou Cai, Yangliu Hu, Yi-Ping Phoebe Chen:
Fine-Grain Level Sports Video Search Engine. MMM (1) 2020: 519-531 - [e11]Cathal Gurrin, Björn Þór Jónsson, Noriko Kando, Klaus Schöffmann, Yi-Ping Phoebe Chen, Noel E. O'Connor:
Proceedings of the 2020 on International Conference on Multimedia Retrieval, ICMR 2020, Dublin, Ireland, June 8-11, 2020. ACM 2020, ISBN 978-1-4503-7087-5 [contents]
2010 – 2019
- 2019
- [j93]Hao-Fan Yang, Yi-Ping Phoebe Chen:
Representation learning with extreme learning machines and empirical mode decomposition for wind speed forecasting methods. Artif. Intell. 277 (2019) - [j92]Hao-Fan Yang, Yi-Ping Phoebe Chen:
Hybrid deep learning and empirical mode decomposition model for time series applications. Expert Syst. Appl. 120: 128-138 (2019) - [j91]Shirin Akther Khanam, Fei Liu, Yi-Ping Phoebe Chen:
Comprehensive structured knowledge base system construction with natural language presentation. Hum. centric Comput. Inf. Sci. 9: 23 (2019) - [j90]Chandramani Chaudhary, Poonam Goyal, Siddhant Tuli, Shuchita Banthia, Navneet Goyal, Yi-Ping Phoebe Chen:
A novel multimodal clustering framework for images with diverse associated text. Multim. Tools Appl. 78(13): 17623-17652 (2019) - [j89]Noorul Amin, Annette McGrath, Yi-Ping Phoebe Chen:
Evaluation of deep learning in non-coding RNA classification. Nat. Mach. Intell. 1(5): 246-256 (2019) - [j88]Qingfeng Chen, Zhao Zhe, Wei Lan, Ruchang Zhang, Zhiqiang Wang, Cheng Luo, Yi-Ping Phoebe Chen:
Identifying MiRNA-disease association based on integrating miRNA topological similarity and functional similarity. Quant. Biol. 7(3): 202-209 (2019) - [j87]Yoshihiro Yamanishi, Yasubumi Sakakibara, Yi-Ping Phoebe Chen:
Guest Editorial for the 16th Asia Pacific Bioinformatics Conference. IEEE ACM Trans. Comput. Biol. Bioinform. 16(1): 1-2 (2019) - [j86]Shuigeng Zhou, Yi-Ping Phoebe Chen, Hiroshi Mamitsuka:
Editorial. IEEE ACM Trans. Comput. Biol. Bioinform. 16(2): 350-351 (2019) - [j85]Hao-Fan Yang, Tharam S. Dillon, Elizabeth Chang, Yi-Ping Phoebe Chen:
Optimized Configuration of Exponential Smoothing and Extreme Learning Machine for Traffic Flow Forecasting. IEEE Trans. Ind. Informatics 15(1): 23-34 (2019) - [c75]Shichao Liu, Ziyang Huang, Yang Qiu, Yi-Ping Phoebe Chen, Wen Zhang:
Structural Network Embedding using Multi-modal Deep Auto-encoders for Predicting Drug-drug Interactions. BIBM 2019: 445-450 - [c74]Zeming Liu, Feng Liu, Chengzhi Hong, Meng Gao, Yi-Ping Phoebe Chen, Shichao Liu, Wen Zhang:
Detection of Cell Types from Single-cell RNA-seq Data using Similarity via Kernel Preserving Learning Embedding. BIBM 2019: 451-457 - [c73]Juntong Cheng, Yi-Ping Phoebe Chen, Minjun Li, Yu-Gang Jiang:
TC-GAN: Triangle Cycle-Consistent GANs for Face Frontalization with Facial Features Preserved. ACM Multimedia 2019: 220-228 - 2018
- [j84]Shengxun Yang, Zhen He, Yi-Ping Phoebe Chen:
GCOTraj: A storage approach for historical trajectory data sets using grid cells ordering. Inf. Sci. 459: 1-19 (2018) - [j83]Amir Anees, Yi-Ping Phoebe Chen:
Discriminative binary feature learning and quantization in biometric key generation. Pattern Recognit. 77: 289-305 (2018) - [j82]Jijun Tang, Lu Tian, Yi-Ping Phoebe Chen:
Guest Editorial for the 14th Asia Pacific Bioinformatics Conference. IEEE ACM Trans. Comput. Biol. Bioinform. 15(2): 396-397 (2018) - [j81]Lusheng Wang, Shuai Cheng Li, Yi-Ping Phoebe Chen:
Guest Editorial for the 15th Asia Pacific Bioinformatics Conference. IEEE ACM Trans. Comput. Biol. Bioinform. 15(5): 1513-1514 (2018) - [j80]Zhanzhan Cheng, Shuigeng Zhou, Yang Wang, Hui Liu, Jihong Guan, Yi-Ping Phoebe Chen:
Effectively Identifying Compound-Protein Interactions by Learning from Positive and Unlabeled Examples. IEEE ACM Trans. Comput. Biol. Bioinform. 15(6): 1832-1843 (2018) - [c72]Chandramani Chaudhary, Poonam Goyal, Joel Ruben Antony Moniz, Navneet Goyal, Yi-Ping Phoebe Chen:
Linguistic Patterns and Cross Modality-based Image Retrieval for Complex Queries. ICMR 2018: 257-265 - 2017
- [j79]Jimmy Ka Ho Chiu, Yi-Ping Phoebe Chen:
A comprehensive study of RNA secondary structure alignment algorithms. Briefings Bioinform. 18(2): 291-305 (2017) - [j78]Cheng-Yu Ma, Yi-Ping Phoebe Chen, Bonnie Berger, Chung-Shou Liao:
Identification of protein complexes by integrating multiple alignment of protein interaction networks. Bioinform. 33(11): 1681-1688 (2017) - [j77]Pooia Lalbakhsh, Yi-Ping Phoebe Chen:
TACD: a transportable ant colony discrimination model for corporate bankruptcy prediction. Enterp. Inf. Syst. 11(5): 758-785 (2017) - [j76]Hao-Fan Yang, Tharam S. Dillon, Yi-Ping Phoebe Chen:
Optimized Structure of the Traffic Flow Forecasting Model With a Deep Learning Approach. IEEE Trans. Neural Networks Learn. Syst. 28(10): 2371-2381 (2017) - [c71]Chandramani Chaudhary, Poonam Goyal, Yi-Ping Phoebe Chen:
Exploiting visual and textual neighborhood information to improve image-tag relevance. IEEE BigData 2017: 566-575 - [e10]Qiong Liu, Rainer Lienhart, Haohong Wang, Sheng-Wei "Kuan-Ta" Chen, Susanne Boll, Yi-Ping Phoebe Chen, Gerald Friedland, Jia Li, Shuicheng Yan:
Proceedings of the 2017 ACM on Multimedia Conference, MM 2017, Mountain View, CA, USA, October 23-27, 2017. ACM 2017, ISBN 978-1-4503-4906-2 [contents] - 2016
- [j75]Jijun Tang, Lu Tian, Yi-Ping Phoebe Chen:
Guest Editorial for the 14th Asia Pacific Bioinformatics Conference (APBC2016). Comput. Biol. Chem. 63: 1-2 (2016) - [j74]Yi-Ping Phoebe Chen, Caddi Johnson, Pooia Lalbakhsh, Terry Caelli, Guang Deng, David B. H. Tay, Shane Erickson, Philip Broadbridge, Amr El Refaie, Wendy Doube, Meg E. Morris:
Systematic review of virtual speech therapists for speech disorders. Comput. Speech Lang. 37: 98-128 (2016) - [j73]Qingfeng Chen, Yi-Ping Phoebe Chen, Chengqi Zhang:
Interval-Based Similarity for Classifying Conserved RNA Secondary Structures. IEEE Intell. Syst. 31(3): 78-85 (2016) - [j72]Steven Keith Begley, Zhen He, Yi-Ping Phoebe Chen:
PaMeCo join: A parallel main memory compact hash join. Inf. Syst. 58: 105-125 (2016) - [j71]Shuigeng Zhou, Yi-Ping Phoebe Chen, Hiroshi Mamitsuka:
Introduction to the special issue on GIW 2016. J. Bioinform. Comput. Biol. 14(5): 1602004:1-1602004:3 (2016) - [j70]Shengxun Yang, Zhen He, Yi-Ping Phoebe Chen:
Workload-Based Ordering of Multi-Dimensional Data. IEEE Trans. Knowl. Data Eng. 28(3): 831-844 (2016) - [c70]Jesmin Nahar, A. B. M. Shawkat Ali, Tasadduq Imam, Kevin Tickle, Yi-Ping Phoebe Chen:
Brain Cancer Diagnosis-Association Rule Based Computational Intelligence Approach. CIT 2016: 89-95 - 2015
- [j69]Jimmy Ka Ho Chiu, Yi-Ping Phoebe Chen:
Pairwise RNA secondary structure alignment with conserved stem pattern. Bioinform. 31(24): 3914-3921 (2015) - [j68]Hsien-Da Huang, Yi-Ping Phoebe Chen:
Editorial. Comput. Biol. Chem. 57: 1-2 (2015) - [j67]Howard Lee, Yi-Ping Phoebe Chen:
Image based computer aided diagnosis system for cancer detection. Expert Syst. Appl. 42(12): 5356-5365 (2015) - [j66]Hao-Fan Yang, Yi-Ping Phoebe Chen:
Data mining in lung cancer pathologic staging diagnosis: Correlation between clinical and pathology information. Expert Syst. Appl. 42(15-16): 6168-6176 (2015) - [j65]Jimmy Ka Ho Chiu, Yi-Ping Phoebe Chen:
Efficient Conversion of RNA Pseudoknots to Knot-Free Structures Using a Graphical Model. IEEE Trans. Biomed. Eng. 62(5): 1265-1271 (2015) - [j64]Hsien-Da Huang, Yi-Ping Phoebe Chen:
Guest Editorial for the 13th Asia Pacific Bioinformatics Conference. IEEE ACM Trans. Comput. Biol. Bioinform. 12(6): 1217-1218 (2015) - [c69]Hao-Fan Yang, Tharam S. Dillon, Yi-Ping Phoebe Chen:
Evaluation of Recent Computational Approaches in Short-Term Traffic Forecasting. IFIP AI 2015: 108-116 - 2014
- [j63]Howard Lee, Yi-Ping Phoebe Chen:
Skin cancer extraction with optimum fuzzy thresholding technique. Appl. Intell. 40(3): 415-426 (2014) - [j62]Wei Zhu, Yi-Ping Phoebe Chen:
Computational developments in microRNA-regulated protein-protein interactions. BMC Syst. Biol. 8: 14 (2014) - [j61]Shuigeng Zhou, Yi-Ping Phoebe Chen:
Advances in bioinformatics: Selected papers from APBC 2014. Comput. Biol. Chem. 50: 1-2 (2014) - [j60]Feng Chen, ZhouFang Li, Yi-Ping Phoebe Chen:
Determining common insertion sites based on retroviral insertion distribution across tumors. Comput. Biol. Chem. 51: 83-92 (2014) - [j59]Feng Chen, Yuhong Zhang, Yi-Ping Phoebe Chen:
Subdividing globally important zones based on data distribution across multiple genome fragments. Comput. Biol. Medicine 48: 109-118 (2014) - [j58]Howard Lee, Yi-Ping Phoebe Chen:
Cell cycle phase detection with cell deformation analysis. Expert Syst. Appl. 41(6): 2644-2651 (2014) - [j57]Pooia Lalbakhsh, Bahram Zaeri, Yi-Ping Phoebe Chen:
Using Dead Ants to improve the robustness and adaptability of AntNet routing algorithm. J. Netw. Comput. Appl. 44: 196-211 (2014) - [j56]Chi-Han Chuang, Shyi-Chyi Cheng, Chin-Chun Chang, Yi-Ping Phoebe Chen:
Model-based approach to spatial-temporal sampling of video clips for video object detection by classification. J. Vis. Commun. Image Represent. 25(5): 1018-1030 (2014) - [j55]Howard Lee, Yi-Ping Phoebe Chen:
Cell morphology based classification for red cells in blood smear images. Pattern Recognit. Lett. 49: 155-161 (2014) - [j54]Shuigeng Zhou, Yi-Ping Phoebe Chen:
Guest editorial for the 12th Asia Pacific Bioinformatics Conference. IEEE ACM Trans. Comput. Biol. Bioinform. 11(4): 614-615 (2014) - [c68]Tharam S. Dillon, Yi-Ping Phoebe Chen, Elizabeth Chang, Mukesh K. Mohania:
Conjoint Mining of Data and Content with Applications in Business, Bio-medicine, Transport Logistics and Electrical Power Systems. AIAI 2014: 1-19 - 2013
- [j53]Wei Zhu, Jingyu Hou, Yi-Ping Phoebe Chen:
Semantically predicting protein functions based on protein functional connectivity. Comput. Biol. Chem. 44: 9-14 (2013) - [j52]Xiaofeng Song, Minghao Wang, Yi-Ping Phoebe Chen, Huating Wang, Ping Han, Hao Sun:
Prediction of pre-miRNA with multiple stem-loops using pruning algorithm. Comput. Biol. Medicine 43(5): 409-416 (2013) - [j51]Thi Nguyen, Zhen He, Yi-Ping Phoebe Chen:
SeTPR*-tree: Efficient Buffering for Spatiotemporal Indexes Via Shared Execution. Comput. J. 56(1): 115-137 (2013) - [j50]Jesmin Nahar, Tasadduq Imam, Kevin S. Tickle, Yi-Ping Phoebe Chen:
Computational intelligence for heart disease diagnosis: A medical knowledge driven approach. Expert Syst. Appl. 40(1): 96-104 (2013) - [j49]Jesmin Nahar, Tasadduq Imam, Kevin S. Tickle, Yi-Ping Phoebe Chen:
Association rule mining to detect factors which contribute to heart disease in males and females. Expert Syst. Appl. 40(4): 1086-1093 (2013) - [j48]Subha Kalyaanamoorthy, Yi-Ping Phoebe Chen:
Ligand release mechanisms and channels in histone deacetylases. J. Comput. Chem. 34(26): 2270-2283 (2013) - [j47]Jingyu Hou, Wei Zhu, Yi-Ping Phoebe Chen:
Dynamically predicting protein functions from semantic associations of proteins. Netw. Model. Anal. Health Informatics Bioinform. 2(4): 175-183 (2013) - [j46]Shyi-Chyi Cheng, Kwang-Yu Cheng, Yi-Ping Phoebe Chen:
GHT-based associative memory learning and its application to Human action detection and classification. Pattern Recognit. 46(11): 3117-3128 (2013) - [j45]Yi-Ping Phoebe Chen:
Guest Editorial: Advanced Algorithms of Bioinformatics. IEEE ACM Trans. Comput. Biol. Bioinform. 10(2): 273 (2013) - 2012
- [j44]Yi-Ping Phoebe Chen, Peer Bork:
The Tenth Asia Pacific Bioinformatics Conference (APBC 2012). BMC Genom. 13(S-1): I1 (2012) - [j43]