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Peng Cao 0001
Person information
- affiliation: Northeastern University, Computer Science and Engineering, Shenyang, China
- affiliation: University of Alberta, Computing Science, Edmonton, AB, Canada
Other persons with the same name
- Peng Cao — disambiguation page
- Peng Cao 0002
— Southeast University, National ASIC System Engineering Research Center, Nanjing, China
- Peng Cao 0003
- Peng Cao 0004 — Peking University, School of Electronics Engineering and Computer Science, Beijing, China
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2020 – today
- 2024
- [j51]Haodong Li, Peng Cao, Xingwei Wang
Pre-training enhanced unsupervised contrastive domain adaptation for industrial equipment remaining useful life prediction. Adv. Eng. Informatics 60: 102517 (2024) - [j50]Yaqi Wang, Qingshan Hou, Peng Cao
Lesion-aware knowledge distillation for diabetic retinopathy lesion segmentation. Appl. Intell. 54(2): 1937-1956 (2024) - [j49]Kai Zhang, Wei Liang, Peng Cao, Xiaoli Liu, Jinzhu Yang, Osmar R. Zaïane:
Label correlation guided discriminative label feature learning for multi-label chest image classification. Comput. Methods Programs Biomed. 245: 108032 (2024) - [j48]Ruoxian Song, Peng Cao
BrainDAS: Structure-aware domain adaptation network for multi-site brain network analysis. Medical Image Anal. 96: 103211 (2024) - [j47]Haonan Wang, Peng Cao, Jinzhu Yang, Osmar R. Zaïane:
Narrowing the semantic gaps in U-Net with learnable skip connections: The case of medical image segmentation. Neural Networks 178: 106546 (2024) - [j46]Zeyu Teng, Peng Cao, Min Huang, Zheming Gao, Xingwei Wang:
Multi-label borderline oversampling technique. Pattern Recognit. 145: 109953 (2024) - [j45]Qingshan Hou
A Collaborative Self-Supervised Domain Adaptation for Low-Quality Medical Image Enhancement. IEEE Trans. Medical Imaging 43(7): 2479-2494 (2024) - [c48]Chunzhen Jin, Yongfeng Huang, Yaqi Wang, Peng Cao, Osmar Zaïane:
SETTP: Style Extraction and Tunable Inference via Dual-Level Transferable Prompt Learning. ECAI 2024: 3907-3914 - [c47]Chunzhen Jin, Eliot Huang, Heng Chang, Yaqi Wang, Peng Cao, Osmar R. Zaïane:
Reusing Transferable Weight Increments for Low-resource Style Generation. EMNLP 2024: 2470-2488 - [c46]Zhiyong Jin
Towards Disease-Aware Self-Supervised Dynamic Brain Network Learning For Mental Diagnosis. ICASSP 2024: 2270-2274 - [c45]Junjie Liang, Peng Cao, Wenju Yang, Jinzhu Yang, Osmar R. Zaïane:
3D-SAutoMed: Automatic Segment Anything Model for 3D Medical Image Segmentation from Local-Global Perspective. MICCAI (9) 2024: 3-12 - [c44]Yaqi Wang, Leqi Chen, Qingshan Hou, Peng Cao, Jinzhu Yang, Xiaoli Liu, Osmar R. Zaïane:
A Clinical-Oriented Lightweight Network for High-Resolution Medical Image Enhancement. MICCAI (3) 2024: 3-12 - [c43]Qingshan Hou, Shuai Cheng, Peng Cao, Jinzhu Yang, Xiaoli Liu, Yih Chung Tham, Osmar R. Zaïane:
A Clinical-Oriented Multi-level Contrastive Learning Method for Disease Diagnosis in Low-Quality Medical Images. MICCAI (3) 2024: 13-23 - [c42]Lanting Li, Liuzeng Zhang, Peng Cao, Jinzhu Yang, Fei Wang, Osmar R. Zaïane:
Exploring Spatio-temporal Interpretable Dynamic Brain Function with Transformer for Brain Disorder Diagnosis. MICCAI (2) 2024: 195-205 - [c41]Yaqi Wang, Peng Cao, Qingshan Hou, Linqi Lan, Jinzhu Yang, Xiaoli Liu, Osmar R. Zaïane:
Progressively Correcting Soft Labels via Teacher Team for Knowledge Distillation in Medical Image Segmentation. MICCAI (9) 2024: 521-530 - [c40]Junming Su, Zhiqiang Shen, Peng Cao, Jinzhu Yang, Osmar R. Zaïane:
Self-paced Sample Selection for Barely-Supervised Medical Image Segmentation. MICCAI (9) 2024: 582-592 - [c39]Lingwen Liu
Capturing Temporal Node Evolution via Self-supervised Learning: A New Perspective on Dynamic Graph Learning. WSDM 2024: 443-451 - [i9]Qingshan Hou, Shuai Cheng, Peng Cao, Jinzhu Yang, Xiaoli Liu, Osmar R. Zaïane, Yih Chung Tham:
A Clinical-oriented Multi-level Contrastive Learning Method for Disease Diagnosis in Low-quality Medical Images. CoRR abs/2404.04887 (2024) - [i8]Zhiqiang Shen, Peng Cao, Junming Su, Jinzhu Yang, Osmar R. Zaïane:
Rethinking Barely-Supervised Segmentation from an Unsupervised Domain Adaptation Perspective. CoRR abs/2405.09777 (2024) - [i7]Junming Su, Zhiqiang Shen, Peng Cao, Jinzhu Yang, Osmar R. Zaïane:
Self-Paced Sample Selection for Barely-Supervised Medical Image Segmentation. CoRR abs/2407.05248 (2024) - [i6]Chunzhen Jin, Yongfeng Huang, Yaqi Wang, Peng Cao, Osmar R. Zaïane:
SETTP: Style Extraction and Tunable Inference via Dual-level Transferable Prompt Learning. CoRR abs/2407.15556 (2024) - [i5]Zhiqiang Shen, Peng Cao, Junming Su, Jinzhu Yang, Osmar R. Zaïane:
Adaptive Mix for Semi-Supervised Medical Image Segmentation. CoRR abs/2407.21586 (2024) - 2023
- [j44]Haodong Li, Peng Cao, Xingwei Wang, Bo Yi, Min Huang, Qiuye Sun, Yanfeng Zhang:
Multi-task spatio-temporal augmented net for industry equipment remaining useful life prediction. Adv. Eng. Informatics 55: 101898 (2023) - [j43]Guangqi Wen, Peng Cao, Haonan Wang, Hanlin Chen, Xiaoli Liu, Jinghui Xu, Osmar R. Zaïane:
MS-SSD: multi-scale single shot detector for ship detection in remote sensing images. Appl. Intell. 53(2): 1586-1604 (2023) - [j42]Peng Cao, Guangqi Wen, Wenju Yang, Xiaoli Liu, Jinzhu Yang, Osmar R. Zaïane:
A unified framework of graph structure learning, graph generation and classification for brain network analysis. Appl. Intell. 53(6): 6978-6991 (2023) - [j41]Mingjun Qu, Shitong Wang, Yonghuai Wang, Honghe Li, Lanting Zhao, Peng Cao, Jinzhu Yang
FFANet - Full frequency attention net for automatic diastolic function assessment. Biomed. Signal Process. Control. 86(Part B): 105124 (2023) - [j40]Lanting Li, Guangqi Wen, Peng Cao, Xiaoli Liu, Osmar R. Zaïane, Jinzhu Yang:
Exploring interpretable graph convolutional networks for autism spectrum disorder diagnosis. Int. J. Comput. Assist. Radiol. Surg. 18(4): 663-673 (2023) - [j39]Wei Liang, Kai Zhang, Peng Cao, Xiaoli Liu, Jinzhu Yang, Osmar R. Zaïane:
Exploiting task relationships for Alzheimer's disease cognitive score prediction via multi-task learning. Comput. Biol. Medicine 152: 106367 (2023) - [j38]Lingwen Liu
BrainTGL: A dynamic graph representation learning model for brain network analysis. Comput. Biol. Medicine 153: 106521 (2023) - [j37]Zhiqiang Shen
WS-LungNet: A two-stage weakly-supervised lung cancer detection and diagnosis network. Comput. Biol. Medicine 154: 106587 (2023) - [j36]Honghe Li, Yonghuai Wang, Mingjun Qu, Peng Cao, Chaolu Feng, Jinzhu Yang
EchoEFNet: Multi-task deep learning network for automatic calculation of left ventricular ejection fraction in 2D echocardiography. Comput. Biol. Medicine 156: 106705 (2023) - [j35]Haonan Wang, Peng Cao, Jinzhu Yang, Osmar R. Zaïane:
MCA-UNet: multi-scale cross co-attentional U-Net for automatic medical image segmentation. Health Inf. Sci. Syst. 11(1): 10 (2023) - [j34]Wenhui Tan, Xin Gao, Yiyang Li, Guangqi Wen, Peng Cao, Jinzhu Yang, Weiping Li, Osmar R. Zaïane:
Exploring attention mechanism for graph similarity learning. Knowl. Based Syst. 276: 110739 (2023) - [j33]Kai Zhang, Zhaoyang Mao, Peng Cao, Wei Liang, Jinzhu Yang, Weiping Li, Osmar R. Zaïane:
Label correlation guided borderline oversampling for imbalanced multi-label data learning. Knowl. Based Syst. 279: 110938 (2023) - [j32]Wenju Yang, Jiankang Liu, Peng Cao, Rongxin Zhu, Yang Wang, Jian K. Liu
Attention guided learnable time-domain filterbanks for speech depression detection. Neural Networks 165: 135-149 (2023) - [j31]Qingshan Hou
Image Quality Assessment Guided Collaborative Learning of Image Enhancement and Classification for Diabetic Retinopathy Grading. IEEE J. Biomed. Health Informatics 27(3): 1455-1466 (2023) - [j30]Guangqi Wen, Peng Cao
Graph Self-Supervised Learning With Application to Brain Networks Analysis. IEEE J. Biomed. Health Informatics 27(8): 4154-4165 (2023) - [c38]Wei Liang, Kai Zhang, Peng Cao, Xiaoli Liu, Jinzhu Yang, Osmar R. Zaïane:
csl-MTFL: Multi-task Feature Learning with Joint Correlation Structure Learning for Alzheimer's Disease Cognitive Performance Prediction. ADMA (3) 2023: 48-62 - [c37]Kai Zhang, Wei Liang, Peng Cao, Jinzhu Yang, Weiping Li, Osmar R. Zaïane:
Label Correlation Guided Feature Selection for Multi-label Learning. ADMA (4) 2023: 387-402 - [c36]Guangqi Wen, Peng Cao, Zhiyong Jin, Ruoxian Song, Xiaoli Liu, Jinzhu Yang, Osmar R. Zaïane:
Towards Time-Variant-Aware Link Prediction in Dynamic Graph Through Self-supervised Learning. ADMA (4) 2023: 470-485 - [c35]Zhiqiang Shen
Co-training with High-Confidence Pseudo Labels for Semi-supervised Medical Image Segmentation. IJCAI 2023: 4199-4207 - [c34]Pengshuai Zhang, Guangqi Wen, Peng Cao, Jinzhu Yang, Jinyu Zhang, Xizhe Zhang
BrainUSL: Unsupervised Graph Structure Learning for Functional Brain Network Analysis. MICCAI (8) 2023: 205-214 - [c33]Wei Liang, Kai Zhang, Peng Cao, Pengfei Zhao, Xiaoli Liu, Jinzhu Yang, Osmar R. Zaïane:
Modeling Alzheimers' Disease Progression from Multi-task and Self-supervised Learning Perspective with Brain Networks. MICCAI (1) 2023: 310-319 - [c32]Shuai Cheng, Qingshan Hou, Peng Cao, Jinzhu Yang, Xiaoli Liu, Osmar R. Zaïane:
Lesion-Aware Contrastive Learning for Diabetic Retinopathy Diagnosis. MICCAI (7) 2023: 671-681 - [c31]Qingshan Hou
A Reference-free Self-supervised Domain Adaptation Framework for Low-quality Fundus Image Enhancement. ACM Multimedia 2023: 7383-7393 - [i4]Zhiqiang Shen, Peng Cao, Hua Yang, Xiaoli Liu, Jinzhu Yang, Osmar R. Zaïane:
Co-training with High-Confidence Pseudo Labels for Semi-supervised Medical Image Segmentation. CoRR abs/2301.04465 (2023) - [i3]Qingshan Hou, Peng Cao, Jiaqi Wang, Xiaoli Liu, Jinzhu Yang, Osmar R. Zaïane:
Self-supervised Domain Adaptation for Breaking the Limits of Low-quality Fundus Image Quality Enhancement. CoRR abs/2301.06943 (2023) - [i2]Haonan Wang, Peng Cao, Xiaoli Liu, Jinzhu Yang, Osmar Zaïane:
Narrowing the semantic gaps in U-Net with learnable skip connections: The case of medical image segmentation. CoRR abs/2312.15182 (2023) - 2022
- [j29]Yan Huang, Jinzhu Yang
Vessel filtering and segmentation of coronary CT angiographic images. Int. J. Comput. Assist. Radiol. Surg. 17(10): 1879-1890 (2022) - [j28]Shanshan Tang
Dual feature correlation guided multi-task learning for Alzheimer's disease prediction. Comput. Biol. Medicine 140: 105090 (2022) - [j27]Guangqi Wen, Peng Cao, Huiwen Bao, Wenju Yang, Tong Zheng, Osmar Zaïane:
MVS-GCN: A prior brain structure learning-guided multi-view graph convolution network for autism spectrum disorder diagnosis. Comput. Biol. Medicine 142: 105239 (2022) - [j26]Peng Cao, Qingshan Hou, Ruoxian Song, Haonan Wang, Osmar R. Zaïane:
Collaborative learning of weakly-supervised domain adaptation for diabetic retinopathy grading on retinal images. Comput. Biol. Medicine 144: 105341 (2022) - [j25]Wenju Yang, Guangqi Wen, Peng Cao, Jinzhu Yang
Collaborative learning of graph generation, clustering and classification for brain networks diagnosis. Comput. Methods Programs Biomed. 219: 106772 (2022) - [j24]Ye Wang, Zhicong Lu
How Live Streaming Changes Shopping Decisions in E-commerce: A Study of Live Streaming Commerce. Comput. Support. Cooperative Work. 31(4): 701-729 (2022) - [j23]Peng Cao, Guangqi Wen, Xiaoli Liu, Jinzhu Yang, Osmar R. Zaïane:
Modeling the dynamic brain network representation for autism spectrum disorder diagnosis. Medical Biol. Eng. Comput. 60(7): 1897-1913 (2022) - [j22]Lanting Li, Peng Cao, Jinzhu Yang, Osmar R. Zaïane:
Modeling global and local label correlation with graph convolutional networks for multi-label chest X-ray image classification. Medical Biol. Eng. Comput. 60(9): 2567-2588 (2022) - [j21]Lanting Li, Hao Jiang, Guangqi Wen, Peng Cao, MingYi Xu, Xiaoli Liu, Jinzhu Yang, Osmar R. Zaïane:
TE-HI-GCN: An Ensemble of Transfer Hierarchical Graph Convolutional Networks for Disorder Diagnosis. Neuroinformatics 20(2): 353-375 (2022) - [c30]Haonan Wang
UCTransNet: Rethinking the Skip Connections in U-Net from a Channel-Wise Perspective with Transformer. AAAI 2022: 2441-2449 - [c29]Wenhui Tan, Peng Cao, Zhiyong Jin, Futao Luo, Guangqi Wen, Weiping Li:
DGE-GSIM: A multi-task dual graph embedding learning for graph similarity computation. ICMLSC 2022: 39-47 - 2021
- [j20]Wei Liang, Kai Zhang, Peng Cao, Xiaoli Liu, Jinzhu Yang, Osmar R. Zaïane:
Rethinking modeling Alzheimer's disease progression from a multi-task learning perspective with deep recurrent neural network. Comput. Biol. Medicine 138: 104935 (2021) - [j19]Jinzhu Yang, Bo Wu, Lanting Li, Peng Cao, Osmar R. Zaïane:
MSDS-UNet: A multi-scale deeply supervised 3D U-Net for automatic segmentation of lung tumor in CT. Comput. Medical Imaging Graph. 92: 101957 (2021) - [c28]Peng Cao, Guangqi Wen, Lanting Li, Xiaoli Liu, Jinzhu Yang, Osmar Zaïane:
Temporal Graph Representation Learning for Autism spectrum disorder Brain Networks. BIBM 2021: 1270-1275 - [c27]Peng Cao, Wei Liang, Kai Zhang, Shanshan Tang, Jinzhu Yang:
Joint feature and task aware multi-task feature learning for Alzheimer's disease diagnosis. BIBM 2021: 2643-2650 - [i1]Haonan Wang
UCTransNet: Rethinking the Skip Connections in U-Net from a Channel-wise Perspective with Transformer. CoRR abs/2109.04335 (2021) - 2020
- [j18]Hao Jiang
Hi-GCN: A hierarchical graph convolution network for graph embedding learning of brain network and brain disorders prediction. Comput. Biol. Medicine 127: 104096 (2020) - [c26]Ruoxian Song, Peng Cao, Jinzhu Yang, Dazhe Zhao, Osmar R. Zaïane:
A Domain Adaptation Multi-instance Learning for Diabetic Retinopathy Grading on Retinal Images. BIBM 2020: 743-750 - [c25]Lanting Li, Peng Cao, Jinzhu Yang, Dazhe Zhao, Osmar R. Zaïane:
A robust fuzzy clustering algorithm using spatial information combined with local membership filtering for brain MR images. BIBM 2020: 1987-1994 - [c24]Delong Zhang, Mengqun Jin, Peng Cao:
ST-MetaDiagnosis: Meta learning with Spatial Transform for rare skin disease Diagnosis. BIBM 2020: 2153-2160 - [c23]Shan Zhang, Peng Cao, Lili Dou, Jinzhu Yang, Dazhe Zhao:
An Auto-Encoding Generative Adversarial Networks for Generating Brain Network. ISICDM 2020: 14-18 - [c22]Xiaoli Liu, Jiali Li, Peng Cao:
SP-MTFL: A self paced multi-task feature learning method for cognitive performance predicting of Alzheimer's disease. ISICDM 2020: 23-27 - [c21]Xiaoli Liu, Jiali Li, Peng Cao:
Modeling Disease Progression with Deep Neural Networks. ISICDM 2020: 32-34 - [c20]Xiaoli Liu, Jiali Li, Peng Cao:
S-GCN: A siamese spectral graph convolutions on brain connectivity networks. ISICDM 2020: 46-48 - [c19]Bo Wu, Peng Cao, Jinzhu Yang, Qi Yang
Deeply Supervised U-Net with Feature Fusion: Automatic COVID-19 Lung Infection Segmentation from CT Images. ISICDM 2020: 86-90 - [c18]Junyi Yan, Jinzhu Yang, Wenjun Tan, Peng Cao, Lili Dou, Dazhe Zhao:
An atlas based level set method for 3D brain structures segmentation. ISICDM 2020: 104-107 - [c17]Yafang Chen, Peng Cao, Lili Dou, Jinzhu Yang:
An end-to-end framework for pulmonary nodule detection and false positive reduction from CT Images. ISICDM 2020: 156-162 - [c16]Chunyu Jiang, Peng Cao, Lili Dou, Jinzhu Yang, Dazhe Zhao:
GCN-RNN: An Unified Framework for Modeling the multi-label diagnosis of chest X-ray disease. ISICDM 2020: 168-172 - [c15]Mengqun Jin, Delong Zhang, Peng Cao:
AMIL: An attentional multi-instance learning for computer-aided diagnosis of skin diagnosis. ISICDM 2020: 177-181
2010 – 2019
- 2019
- [j17]Xiaoli Liu
Fused Group Lasso Regularized Multi-Task Feature Learning and Its Application to the Cognitive Performance Prediction of Alzheimer's Disease. Neuroinformatics 17(2): 271-294 (2019) - [c14]Peng Cao, Shanshan Tang, Min Huang, Jinzhu Yang, Dazhe Zhao, Amine Trabelsi, Osmar R. Zaïane:
Feature-aware Multi-task feature learning for Predicting Cognitive Outcomes in Alzheimer's disease. BIBM 2019: 1-5 - [c13]Peng Cao, Shanshan Tang, Min Huang, Jinzhu Yang, Dazhe Zhao, Amine Trabelsi, Osmar R. Zaïane:
An ensemble framework with $l_{21}$-norm regularized hypergraph laplacian multi-label learning for clinical data prediction. BIBM 2019: 1436-1442 - [c12]Yunheng Wu, Yuxuan Pang
A 3D Multi-scale Virtual Adversarial Network for False Positive Reduction in Pulmonary Nodule Detection. ICIAI 2019: 193-197 - 2018
- [j16]Xiaoli Liu
Modeling Alzheimer's disease cognitive scores using multi-task sparse group lasso. Comput. Medical Imaging Graph. 66: 100-114 (2018) - [j15]Peng Cao
Efficient multi-kernel multi-instance learning using weakly supervised and imbalanced data for diabetic retinopathy diagnosis. Comput. Medical Imaging Graph. 69: 112-124 (2018) - [j14]Xiaoli Liu, Peng Cao
Linearized and Kernelized Sparse Multitask Learning for Predicting Cognitive Outcomes in Alzheimer's Disease. Comput. Math. Methods Medicine 2018: 7429782:1-7429782:13 (2018) - [j13]Peng Cao, Xiaoli Liu
Generalized fused group lasso regularized multi-task feature learning for predicting cognitive outcomes in Alzheimers disease. Comput. Methods Programs Biomed. 162: 19-45 (2018) - [j12]Peng Cao, Xiaoli Liu, Jinzhu Yang, Dazhe Zhao, Min Huang, Osmar R. Zaïane:
ℓ2, 1-ℓ1 regularized nonlinear multi-task representation learning based cognitive performance prediction of Alzheimer's disease. Pattern Recognit. 79: 195-215 (2018) - [j11]Xiaoli Liu
Modeling Alzheimer's Disease Progression with Fused Laplacian Sparse Group Lasso. ACM Trans. Knowl. Discov. Data 12(6): 65:1-65:35 (2018) - 2017
- [j10]Peng Cao, Xiaoli Liu, Jinzhu Yang, Dazhe Zhao, Min Huang, Jian Zhang, Osmar R. Zaïane:
Nonlinearity-aware based dimensionality reduction and over-sampling for AD/MCI classification from MRI measures. Comput. Biol. Medicine 91: 21-37 (2017) - [j9]Fulong Ren, Peng Cao, Wei Li, Dazhe Zhao, Osmar R. Zaïane:
Ensemble based adaptive over-sampling method for imbalanced data learning in computer aided detection of microaneurysm. Comput. Medical Imaging Graph. 55: 54-67 (2017) - [j8]Peng Cao, Xiaoli Liu
A ℓ2, 1 norm regularized multi-kernel learning for false positive reduction in Lung nodule CAD. Comput. Methods Programs Biomed. 140: 211-231 (2017) - [j7]Peng Cao, Xiaoli Liu, Jian Zhang, Dazhe Zhao, Min Huang, Osmar R. Zaïane:
ℓ2, 1 norm regularized multi-kernel based joint nonlinear feature selection and over-sampling for imbalanced data classification. Neurocomputing 234: 38-57 (2017) - [j6]Peng Cao, Xiaoli Liu, Jinzhu Yang, Dazhe Zhao, Wei Li, Min Huang, Osmar R. Zaïane:
A multi-kernel based framework for heterogeneous feature selection and over-sampling for computer-aided detection of pulmonary nodules. Pattern Recognit. 64: 327-346 (2017) - [j5]Peng Cao, Xuanfeng Shan, Dazhe Zhao, Min Huang, Osmar R. Zaïane:
Sparse shared structure based multi-task learning for MRI based cognitive performance prediction of Alzheimer's disease. Pattern Recognit. 72: 219-235 (2017) - [c11]Xiaoli Liu, Peng Cao, Jinzhu Yang, Dazhe Zhao, Osmar R. Zaïane:
Group Guided Sparse Group Lasso Multi-task Learning for Cognitive Performance Prediction of Alzheimer's Disease. BI 2017: 202-212 - [c10]Peng Cao, Xiaoli Liu, Jinzhu Yang, Dazhe Zhao, Osmar R. Zaïane:
Sparse Multi-kernel Based Multi-task Learning for Joint Prediction of Clinical Scores and Biomarker Identification in Alzheimer's Disease. MICCAI (3) 2017: 195-202 - 2016
- [j4]Wei Li, Peng Cao
Pulmonary Nodule Classification with Deep Convolutional Neural Networks on Computed Tomography Images. Comput. Math. Methods Medicine 2016: 6215085:1-6215085:7 (2016) - [c9]Peng Cao, Xiaoli Liu, Dazhe Zhao, Osmar R. Zaïane:
Cost Sensitive Ranking Support Vector Machine for Multi-label Data Learning. HIS 2016: 244-255 - [c8]Peng Cao, Xiaoli Liu, Dazhe Zhao, Osmar R. Zaïane:
Sparse Learning and Hybrid Probabilistic Oversampling for Alzheimer's Disease Diagnosis. HIS 2016: 256-266 - 2014
- [j3]Peng Cao
Ensemble-based hybrid probabilistic sampling for imbalanced data learning in lung nodule CAD. Comput. Medical Imaging Graph. 38(3): 137-150 (2014) - [j2]Peng Cao, Dazhe Zhao, Osmar R. Zaïane:
Hybrid probabilistic sampling with random subspace for imbalanced data learning. Intell. Data Anal. 18(6): 1089-1108 (2014) - 2013
- [j1]Jing Zhang, Peng Cao, Douglas P. Gross, Osmar R. Zaïane:
On the application of multi-class classification in physical therapy recommendation. Health Inf. Sci. Syst. 1(1): 15 (2013) - [c7]Peng Cao, Dazhe Zhao, Osmar R. Zaïane:
Cost sensitive adaptive random subspace ensemble for computer-aided nodule detection. CBMS 2013: 173-178 - [c6]Peng Cao, Dazhe Zhao, Osmar R. Zaïane:
Measure oriented cost-sensitive SVM for 3D nodule detection. EMBC 2013: 3981-3984 - [c5]Peng Cao, Dazhe Zhao, Osmar R. Zaïane:
Measure optimized cost-sensitive neural network ensemble for multiclass imbalance data learning. HIS 2013: 35-40 - [c4]Peng Cao, Bo Li, Dazhe Zhao, Osmar R. Zaïane:
A novel cost sensitive neural network ensemble for multiclass imbalance data learning. IJCNN 2013: 1-8 - [c3]Peng Cao, Dazhe Zhao, Osmar R. Zaïane:
Measure optimized wrapper framework for multi-class imbalanced data learning: An empirical study. IJCNN 2013: 1-8 - [c2]Peng Cao, Dazhe Zhao, Osmar R. Zaïane:
An Optimized Cost-Sensitive SVM for Imbalanced Data Learning. PAKDD (2) 2013: 280-292 - [c1]Peng Cao, Dazhe Zhao, Osmar R. Zaïane:
A PSO-Based Cost-Sensitive Neural Network for Imbalanced Data Classification. PAKDD Workshops 2013: 452-463
Coauthor Index
[j50] [j49] [j48] [j47] [j45] [c46] [c45] [c44] [c43] [c42] [c41] [c40] [c39] [i9] [i8] [i7] [i5] [j42] [j41] [j40] [j39] [j38] [j37] [j36] [j35] [j34] [j33] [j31] [j30] [c38] [c37] [c36] [c35] [c34] [c33] [c32] [c31] [i4] [i3] [i2] [j29] [j25] [j23] [j22] [j21] [j20] [j19] [c28] [c27] [j18] [c26] [c25] [c23] [c19] [c18] [c17] [c16] [c14] [c13] [j15] [j14] [j13] [j12] [j10] [j6] [c11] [c10] [j3]
Osmar R. Zaïane
aka: Osmar Zaïane
aka: Osmar Zaïane
[j50] [j49] [j48] [j47] [j45] [c48] [c47] [c46] [c45] [c44] [c43] [c42] [c41] [c40] [c39] [i9] [i8] [i7] [i6] [i5] [j43] [j42] [j40] [j39] [j38] [j37] [j35] [j34] [j33] [j31] [j30] [c38] [c37] [c36] [c35] [c34] [c33] [c32] [c31] [i4] [i3] [i2] [j28] [j27] [j26] [j25] [j23] [j22] [j21] [c30] [j20] [j19] [c28] [i1] [j18] [c26] [c25] [c14] [c13] [j15] [j13] [j12] [j10] [j9] [j8] [j7] [j6] [j5] [c11] [c10] [c9] [c8] [j3] [j2] [j1] [c7] [c6] [c5] [c4] [c3] [c2] [c1]
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