default search action
Yonghong Peng
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
- [j62]Tao Li, Dandan Wu, Minghui Zhou, Qing Liao, Yonghong Peng:
ADCV: Unsupervised depth completion employing adaptive depth-based cost volume. Digit. Signal Process. 155: 104750 (2024) - [j61]Hongguang Yue, Linbo Qing, Zhixuan Zhang, Zhengyong Wang, Li Guo, Yonghong Peng:
MSE-Net: A novel master-slave encoding network for remote sensing scene classification. Eng. Appl. Artif. Intell. 132: 107909 (2024) - [j60]Xue Jiang, Linbo Qing, Jianglan Huang, Li Guo, Yonghong Peng:
Unveiling group activity recognition: Leveraging Local-Global Context-Aware Graph Reasoning for enhanced actor-scene interactions. Eng. Appl. Artif. Intell. 133: 108412 (2024) - [j59]Linbo Qing, Hongqian Wen, Honggang Chen, Rulong Jin, Yongqiang Cheng, Yonghong Peng:
DVC-Net: a new dual-view context-aware network for emotion recognition in the wild. Neural Comput. Appl. 36(2): 653-665 (2024) - [j58]Tao Li, Xiucheng Dong, Jie Lin, Yonghong Peng:
A transformer-CNN parallel network for image guided depth completion. Pattern Recognit. 150: 110305 (2024) - 2023
- [j57]Wang Tang, Linbo Qing, Lindong Li, Li Guo, Yonghong Peng:
Principal relation component reasoning-enhanced social relation recognition. Appl. Intell. 53(23): 28099-28113 (2023) - [j56]Xu Cheng, Haoyuan Li, Shuya Deng, Yonghong Peng:
POEM: A prototype cross and emphasis network for few-shot semantic segmentation. Comput. Vis. Image Underst. 234: 103746 (2023) - [j55]Jianlin Huang, Linbo Qing, Longmei Han, Jiajia Liao, Li Guo, Yonghong Peng:
A collaborative perception method of human-urban environment based on machine learning and its application to the case area. Eng. Appl. Artif. Intell. 119: 105746 (2023) - [j54]Lindong Li, Linbo Qing, Li Guo, Yonghong Peng:
Relationship existence recognition-based social group detection in urban public spaces. Neurocomputing 516: 92-105 (2023) - [j53]Chenxi Huang, Junsheng Zhou, Jinling Chen, Jane Yang, Kathy Clawson, Yonghong Peng:
A feature weighted support vector machine and artificial neural network algorithm for academic course performance prediction. Neural Comput. Appl. 35(16): 11517-11529 (2023) - [j52]Nianyin Zeng, Han Li, Yonghong Peng:
A new deep belief network-based multi-task learning for diagnosis of Alzheimer's disease. Neural Comput. Appl. 35(16): 11599-11610 (2023) - [j51]Chenxi Huang, Dan Hong, Chenhui Yang, Chunting Cai, Siyi Tao, Kathy Clawson, Yonghong Peng:
A new unsupervised pseudo-siamese network with two filling strategies for image denoising and quality enhancement. Neural Comput. Appl. 35(31): 22855-22863 (2023) - [j50]Wang Tang, Linbo Qing, Haosong Gou, Li Guo, Yonghong Peng:
Unveiling Social Relations: Leveraging Interpersonal Similarity Learning for Social Relation Recognition. IEEE Signal Process. Lett. 30: 1142-1146 (2023) - 2022
- [j49]Li Guo, Yonghong Peng, Rui Qin, Bingyu Liu:
A new weakly supervised learning approach for real-time iron ore feed load estimation. Expert Syst. Appl. 202: 117469 (2022) - [j48]Yuchen Wang, Linbo Qing, Zhengyong Wang, Yongqiang Cheng, Yonghong Peng:
Multi-Level Transformer-Based Social Relation Recognition. Sensors 22(15): 5749 (2022) - [j47]Yibo Huang, Linbo Qing, Shengyu Xu, Lu Wang, Yonghong Peng:
HybNet: a hybrid network structure for pain intensity estimation. Vis. Comput. 38(3): 871-882 (2022) - [j46]Lindong Li, Linbo Qing, Yuchen Wang, Jie Su, Yongqiang Cheng, Yonghong Peng:
HF-SRGR: a new hybrid feature-driven social relation graph reasoning model. Vis. Comput. 38(11): 3979-3992 (2022) - [i2]Li Guo, Steven Davenport, Yonghong Peng:
Deep CardioSound - An Ensembled Deep Learning Model for Heart Sound MultiLabelling. CoRR abs/2204.07420 (2022) - 2021
- [j45]Jie Su, Xiaohai He, Linbo Qing, Yongqiang Cheng, Yonghong Peng:
An enhanced siamese angular softmax network with dual joint-attention for person re-identification. Appl. Intell. 51(8): 6148-6166 (2021) - [j44]Haohao Ji, Linbo Qing, Longmei Han, Zhengyong Wang, Yongqiang Cheng, Yonghong Peng:
A New Data-Enabled Intelligence Framework for Evaluating Urban Space Perception. ISPRS Int. J. Geo Inf. 10(6): 400 (2021) - [j43]Chenxi Huang, Yongshuo Zong, Yimin Ding, Xin Luo, Kathy Clawson, Yonghong Peng:
A new deep learning approach for the retinal hard exudates detection based on superpixel multi-feature extraction and patch-based CNN. Neurocomputing 452: 521-533 (2021) - [j42]Jianjun Gao, Linbo Qing, Lindong Li, Yongqiang Cheng, Yonghong Peng:
Multi-scale features based interpersonal relation recognition using higher-order graph neural network. Neurocomputing 456: 243-252 (2021) - [j41]Linbo Qing, Lindong Li, Yuchen Wang, Yongqiang Cheng, Yonghong Peng:
SRR-LGR: Local-Global Information-Reasoned Social Relation Recognition for Human-Oriented Observation. Remote. Sens. 13(11): 2038 (2021) - [j40]Chenxi Huang, Yisha Lan, Gaowei Xu, Xiaojun Zhai, Jipeng Wu, Fan Lin, Nianyin Zeng, Qingqi Hong, E. Y. K. Ng, Yonghong Peng, Fei Chen, Guokai Zhang:
A Deep Segmentation Network of Multi-Scale Feature Fusion Based on Attention Mechanism for IVOCT Lumen Contour. IEEE ACM Trans. Comput. Biol. Bioinform. 18(1): 62-69 (2021) - [j39]Lu Yan, Weihong Huang, Liming Wang, Song Feng, Yonghong Peng, Jie Peng:
Data-Enabled Digestive Medicine: A New Big Data Analytics Platform. IEEE ACM Trans. Comput. Biol. Bioinform. 18(3): 922-931 (2021) - [j38]Chenxi Huang, Hao Wang, Dong Guo, Guokai Zhang, Gaowei Xu, Wen Zhou, Yongqiang Cheng, Yonghong Peng, Kaijian Xia, Fan Lin:
A dynamic priority strategy for IoV data scheduling towards key data. J. Supercomput. 77(2): 2018-2032 (2021) - [c28]Linbo Qing, Lindong Li, Shengyu Xu, Yibo Huang, Mei Liu, Rulong Jin, Bo Liu, Tong Niu, Hongqian Wen, Yuchen Wang, Xue Jiang, Yonghong Peng:
Public Life in Public Space (PLPS): A multi-task, multi-group video dataset for public life research. ICCVW 2021: 3611-3620 - [i1]Li Guo, Yonghong Peng, Rui Qin, Bingyu Liu:
A New Weakly Supervised Learning Approach for Real-time Iron Ore Feed Load Estimation. CoRR abs/2110.04063 (2021) - 2020
- [j37]Wang Shi Hui, Weihong Huang, Jianzhong Hu, Kun Tao, Yonghong Peng:
A New Precise Contactless Medical Image Multimodal Interaction System for Surgical Practice. IEEE Access 8: 121811-121820 (2020) - [j36]Yanqiu Zeng, Baocan Zhang, Wei Zhao, Shixiao Xiao, Guokai Zhang, Haiping Ren, Wenbing Zhao, Yonghong Peng, Yutian Xiao, Yiwen Lu, Yongshuo Zong, Yimin Ding:
Magnetic Resonance Image Denoising Algorithm Based on Cartoon, Texture, and Residual Parts. Comput. Math. Methods Medicine 2020: 1405647:1-1405647:10 (2020) - [j35]Wei Zhao, Wenbing Zhao, Wenfeng Wang, Xiaolu Jiang, Xiaodong Zhang, Yonghong Peng, Baocan Zhang, Guokai Zhang:
A Novel Deep Neural Network for Robust Detection of Seizures Using EEG Signals. Comput. Math. Methods Medicine 2020: 9689821:1-9689821:9 (2020) - [j34]Shengyu Xu, Linbo Qing, Longmei Han, Mei Liu, Yonghong Peng, Lifang Shen:
A New Remote Sensing Images and Point-of-Interest Fused (RPF) Model for Sensing Urban Functional Regions. Remote. Sens. 12(6): 1032 (2020) - [j33]Chenxi Huang, Yisha Lan, Guokai Zhang, Gaowei Xu, Landu Jiang, Nianyin Zeng, Jen Hong Tan, E. Y. K. Ng, Yongqiang Cheng, Ningzhi Han, Rongrong Ji, Yonghong Peng:
A New Transfer Function for Volume Visualization of Aortic Stent and Its Application to Virtual Endoscopy. ACM Trans. Multim. Comput. Commun. Appl. 16(2s): 65:1-65:14 (2020) - [c27]Omar Kawi, Kathy Clawson, Paul Dunn, Daniel Knight, Jonathan Hodgson, Yonghong Peng:
Medical Formulation Recognition (MFR) using Deep Feature Learning and One Class SVM. IJCNN 2020: 1-7
2010 – 2019
- 2019
- [j32]Zhe Wu, Shuang Zhao, Yonghong Peng, Xiaoyu He, Xinyu Zhao, Kai Huang, Xian Wu, Wei Fan, Fangfang Li, Mingliang Chen, Jie Li, Weihong Huang, Xiang Chen, Yi Li:
Studies on Different CNN Algorithms for Face Skin Disease Classification Based on Clinical Images. IEEE Access 7: 66505-66511 (2019) - [j31]Yisha Lan, Yimin Ding, Xin Luo, Yanzhao Zhang, Chenxi Huang, E. Y. K. Ng, Weihong Huang, Xuezhong Zhou, Jie Su, Yonghong Peng, Zhicheng Wang, Yongqiang Cheng, Wenliang Che:
A Clustering Based Transfer Function for Volume Rendering Using Gray-Gradient Mode Histogram. IEEE Access 7: 80737-80747 (2019) - [j30]Yisha Lan, Yuanhang Zhou, Yiwen Lu, Hao Wang, Qing Liu, E. Y. K. Ng, Yonghong Peng, Yongtao Hao, Qinyuan Liu, Fei Chen, Yongqiang Cheng, Wenliang Che:
A Nine Months Follow-up Study of Hemodynamic Effect on Bioabsorbable Coronary Stent Implantation. IEEE Access 7: 112564-112571 (2019) - [j29]Junjie Tang, Yisha Lan, Sirui Chen, Yongshuo Zhong, Chenxi Huang, Yonghong Peng, Qinyuan Liu, Yongqiang Cheng, Fei Chen, Wenliang Che:
Lumen Contour Segmentation in IVOCT Based on N-type CNN. IEEE Access 7: 135573-135581 (2019) - [j28]Yue Liu, Ke Yu, Xiaofei Wu, Linbo Qing, Yonghong Peng:
Analysis and Detection of Health-Related Misinformation on Chinese Social Media. IEEE Access 7: 154480-154489 (2019) - [j27]Gaowei Xu, Yonghong Peng, Wenliang Che, Yisha Lan, Wen Zhou, Chenxi Huang, Weibin Li, Wei Zhang, Guokai Zhang, E. Y. K. Ng, Yongqiang Cheng:
An IoT-Based Framework of Webvr Visualization for Medical Big Data in Connected Health. IEEE Access 7: 173866-173874 (2019) - [j26]Wenbing Zhao, Yonghong Peng, Kun Hua, Peng Shi, Hongqiao Wang:
IEEE Access Special Section Editorial: Human-Centered Smart Systems and Technologies. IEEE Access 7: 185469-185475 (2019) - [j25]Chenxi Huang, Yisha Lan, Sirui Chen, Qing Liu, Xin Luo, Gaowei Xu, Wen Zhou, Fan Lin, Yonghong Peng, Eddie Y. K. Ng, Yongqiang Cheng, Nianyin Zeng, Guokai Zhang, Wenliang Che:
Patient-Specific Coronary Artery 3D Printing Based on Intravascular Optical Coherence Tomography and Coronary Angiography. Complex. 2019: 5712594:1-5712594:10 (2019) - [c26]Mei Liu, Longmei Han, Shanshan Xiong, Linbo Qing, Haohao Ji, Yonghong Peng:
Large-Scale Street Space Quality Evaluation Based on Deep Learning Over Street View Image. ICIG (2) 2019: 690-701 - [c25]Jie Su, Xiaohai He, Linbo Qing, Yanmei Yu, Shengyu Xu, Yonghong Peng:
A New Discriminative Feature Learning for Person Re-Identification Using Additive Angular Margin Softmax Loss. UCET 2019: 1-4 - 2018
- [j24]Dong Yang, Yongqiang Cheng, Jin Zhu, Dongfei Xue, Grant Abt, Hangyang Ye, Yonghong Peng:
A Novel Adaptive Spectrum Noise Cancellation Approach for Enhancing Heartbeat Rate Monitoring in a Wearable Device. IEEE Access 6: 8364-8375 (2018) - [j23]Zheming Zuo, Longzhi Yang, Yonghong Peng, Fei Chao, Yanpeng Qu:
Gaze-Informed Egocentric Action Recognition for Memory Aid Systems. IEEE Access 6: 12894-12904 (2018) - [j22]Jie Su, Linbo Qing, Xiaohai He, Hang Zhang, Jing Zhou, Yonghong Peng:
A New Regularized Matrix Discriminant Analysis (R-MDA) Enabled Human-Centered EEG Monitoring Systems. IEEE Access 6: 13911-13920 (2018) - [j21]Xiang Chen, Linbo Qing, Xiaohai He, Jie Su, Yonghong Peng:
From Eyes to Face Synthesis: a New Approach for Human-Centered Smart Surveillance. IEEE Access 6: 14567-14575 (2018) - [j20]Chenxi Huang, Wen Zhou, Yisha Lan, Fei Chen, Yongtao Hao, Yongqiang Cheng, Yonghong Peng:
A Novel WebVR-Based Lightweight Framework for Virtual Visualization of Blood Vasculum. IEEE Access 6: 27726-27735 (2018) - [j19]Chengwen Zhang, Zengcheng Li, Tang Li, Yunan Han, Cuicui Wei, Yongqiang Cheng, Yonghong Peng:
P-CSREC: A New Approach for Personalized Cloud Service Recommendation. IEEE Access 6: 35946-35956 (2018) - [j18]Chenxi Huang, Yuan Xie, Yisha Lan, Yongtao Hao, Fei Chen, Yongqiang Cheng, Yonghong Peng:
A New Framework for the Integrative Analytics of Intravascular Ultrasound and Optical Coherence Tomography Images. IEEE Access 6: 36408-36419 (2018) - [j17]Jia Yang, Xiaohai He, Linbo Qing, Shuhua Xiong, Yonghong Peng:
A New Progressively Refined Wyner-Ziv Video Coding for Low-Power Human-Centered Telehealth. IEEE Access 6: 38315-38325 (2018) - [j16]Chenxi Huang, Xiaoying Shan, Yisha Lan, Lu Liu, Haidong Cai, Wenliang Che, Yongtao Hao, Yongqiang Cheng, Yonghong Peng:
A Hybrid Active Contour Segmentation Method for Myocardial D-SPECT Images. IEEE Access 6: 39334-39343 (2018) - [j15]Shihui Wang, Qijian Zhang, Weihong Huang, Hanzhang Tian, Jianzhong Hu, Yongqiang Cheng, Yonghong Peng:
A New Smart Mobile System for Chronic Wound Care Management. IEEE Access 6: 52355-52365 (2018) - [j14]Chenxi Huang, Yisha Lan, Yuchen Liu, Wen Zhou, Hongbin Pei, Longzhi Yang, Yongqiang Cheng, Yongtao Hao, Yonghong Peng:
A New Dynamic Path Planning Approach for Unmanned Aerial Vehicles. Complex. 2018: 8420294:1-8420294:17 (2018) - [c24]Xiaoyu Wang, Yisha Lan, Feng Su, Zhounan Li, Chenxi Huang, Yongtao Hao, Lulu Yue, Yongqiang Cheng, Yonghong Peng:
Automatic stent strut detection in intravascular ultrasound using feature extraction and classification technique. ICNC-FSKD 2018: 1172-1176 - [c23]Hangyang Ye, Jin Zhu, Yongqiang Cheng, Dongfei Xue, Bing Wang, Yonghong Peng:
PPG based Respiration Signal Estimation using VMDPCA. ICAC 2018: 1-5 - 2017
- [c22]Wenbing Zhao, Qing Wu, Deborah D. Espy, M. Ann Reinthal, Xiong Luo, Yonghong Peng:
A feasibility study on using a Kinect-based human motion tracking system to promote safe patient handling. EIT 2017: 462-466 - 2016
- [j13]Mohammad Alshammari, Desmond J. Tobin, Yonghong Peng:
Systematic associations between germ-line mutations and human cancers. Int. J. Comput. Biol. Drug Des. 9(1/2): 135-148 (2016) - [c21]Babagana Modu, A. Taufiq Asyhari, Yonghong Peng:
Data Analytics of climatic factor influence on the impact of malaria incidence. SSCI 2016: 1-8 - 2015
- [c20]Kabaji Egara, Yonghong Peng:
Big Data Analytics of Financial Strategies. SSCI 2015: 529-535 - [c19]Aamir Hassan, Masood U. H. Zaka, Demetres Kouvatsos, Yonghong Peng:
Integrated Analysis of Gene Expression Data for Colon Cancer Biomarker Discovery. SSCI 2015: 536-541 - 2014
- [c18]Yongqiang Cheng, Ping Jiang, Yonghong Peng:
Increasing big data front end processing efficiency via locality sensitive Bloom filter for elderly healthcare. CIBD 2014: 26-33 - [c17]Masood U. H. Zaka, Yonghong Peng, Chris W. Sutton:
Microarray big data integrated analysis to identify robust diagnostic signature for triple negative breast cancer. CIBD 2014: 62-68 - [c16]Wanting Liu, Yonghong Peng, Desmond J. Tobin:
Integrated analytics of microarray big data reveals robust gene signature. CIBD 2014: 101-107 - [c15]Masood U. H. Zaka, Yonghong Peng, Chris W. Sutton:
Integrated microarray analytics for the discovery of gene signatures for triple-negative breast cancer. UKCI 2014: 1-6 - 2013
- [j12]Yonghong Peng, Riyi Shi, Yong Xiang:
Introduction to the special issue on Recent advance in signal processing, biomedical engineering and informatics. Comput. Electr. Eng. 39(5): 1461-1463 (2013) - [c14]Xing Li, Xuezhong Zhou, Yonghong Peng, Runshun Zhang, Jingqing Hu, Jian Yu, Baoyan Liu:
Integrating phenotype-genotype data for prioritization of candidate symptom genes. BIBM 2013: 279-280 - 2011
- [e2]Yongsheng Ding, Yonghong Peng, Riyi Shi, Kuangrong Hao, Lipo Wang:
4th International Conference on Biomedical Engineering and Informatics, BMEI 2011, Shanghai, China, October 15-17, 2011. IEEE 2011, ISBN 978-1-4244-9351-7 [contents] - 2010
- [j11]Yonghong Peng, Yufeng Zhang, Lipo Wang:
Artificial intelligence in biomedical engineering and informatics: An introduction and review. Artif. Intell. Medicine 48(2-3): 71-73 (2010) - [j10]Yonghong Peng, Zhi Qing Wu, Jianmin Jiang:
A novel feature selection approach for biomedical data classification. J. Biomed. Informatics 43(1): 15-23 (2010) - [j9]Xuezhong Zhou, Yonghong Peng, Baoyan Liu:
Text mining for traditional Chinese medical knowledge discovery: A survey. J. Biomed. Informatics 43(4): 650-660 (2010)
2000 – 2009
- 2009
- [j8]Qian Huang, Yuan Wu, John Baruch, Ping Jiang, Yonghong Peng:
A Template Model for Defect Simulation for Evaluating Nondestructive Testing in X-Radiography. IEEE Trans. Syst. Man Cybern. Part A 39(2): 466-475 (2009) - 2008
- [c13]Zhi Qing Wu, Jianmin Jiang, Yonghong Peng:
Effective features based on normal linear structures for detecting microcalcifications in mammograms. ICPR 2008: 1-4 - [e1]Carlos Soares, Yonghong Peng, Jun Meng, Takashi Washio, Zhi-Hua Zhou:
Applications of Data Mining in E-Business and Finance. Frontiers in Artificial Intelligence and Applications 177, IOS Press 2008, ISBN 978-1-58603-890-8 [contents] - 2007
- [j7]Yonghong Peng, Xuegong Zhang:
Integrative data mining in systems biology: from text to network mining. Artif. Intell. Medicine 41(2): 83-86 (2007) - [c12]Carlos Soares, Yonghong Peng, Jun Meng, Takashi Washio, Zhi-Hua Zhou:
Applications of Data Mining in E-Business Finance: Introduction. DMBiz@PAKDD 2007: 1-9 - 2006
- [j6]Yonghong Peng, Bin Yao, Jianmin Jiang:
Knowledge-discovery incorporated evolutionary search for microcalcification detection in breast cancer diagnosis. Artif. Intell. Medicine 37(1): 43-53 (2006) - [j5]Yonghong Peng:
A novel ensemble machine learning for robust microarray data classification. Comput. Biol. Medicine 36(6): 553-573 (2006) - [j4]Yonghong Peng:
Integration of gene functional diversity for effective cancer detection. Int. J. Syst. Sci. 37(13): 931-938 (2006) - [j3]Fadi Abdeljaber Thabtah, Peter I. Cowling, Yonghong Peng:
Multiple labels associative classification. Knowl. Inf. Syst. 9(1): 109-129 (2006) - [c11]Yutao Ma, Yonghong Peng:
Co-expression Gene Discovery from Microarray for Integrative Systems Biology. ADMA 2006: 809-818 - [c10]Yuan Wu, Qian Huang, Yonghong Peng, Wuchao Situ:
Detection of Microcalcifications in Digital Mammograms Based on Dual-Threshold. Digital Mammography / IWDM 2006: 347-354 - [c9]Zhi Qing Wu, Jianmin Jiang, Yonghong Peng, Thor Ole Gulsrud:
A Filter-Based Approach Towards Automatic Detection of Microcalcification. Digital Mammography / IWDM 2006: 424-432 - 2005
- [j2]Fadi A. Thabtah, Peter I. Cowling, Yonghong Peng:
A Study of Predictive Accuracy for Four Associative Classifiers. J. Digit. Inf. Manag. 3(3): 205-208 (2005) - [c8]Yonghong Peng:
Robust Ensemble Learning for Cancer Diagnosis Based on Microarray Data Classification. ADMA 2005: 564-574 - [c7]Fadi A. Thabtah, Peter I. Cowling, Yonghong Peng:
MCAR: multi-class classification based on association rule. AICCSA 2005: 33 - [c6]Yonghong Peng, Qian Huang, Ping Jiang, Jianmin Jiang:
Cost-Sensitive Ensemble of Support Vector Machines for Effective Detection of Microcalcification in Breast Cancer Diagnosis. FSKD (2) 2005: 483-493 - [c5]Fadi A. Thabtah, Peter I. Cowling, Yonghong Peng:
The Impact of Rule Ranking on the Quality of Associative Classifiers. SGAI Conf. 2005: 277-287 - [c4]Ping Jiang, Yonghong Peng, Quentin Mair, Mingwei Yuan:
A Variable Resolution Virtual Sensor in Social Behaviour Networks. SOAS 2005: 86-94 - 2004
- [j1]Yonghong Peng:
Intelligent condition monitoring using fuzzy inductive learning. J. Intell. Manuf. 15(3): 373-380 (2004) - [c3]Bin Yao, Jianmin Jiang, Yonghong Peng:
A CBR Driven Genetic Algorithm for Microcalcification Cluster Detection. EKAW 2004: 494-496 - [c2]Fadi A. Thabtah, Peter I. Cowling, Yonghong Peng:
MMAC: A New Multi-Class, Multi-Label Associative Classification Approach. ICDM 2004: 217-224 - 2002
- [c1]Yonghong Peng, Peter A. Flach, Carlos Soares, Pavel Brazdil:
Improved Dataset Characterisation for Meta-learning. Discovery Science 2002: 141-152