Evidential combination of augmented multi-source of information based on domain adaptation
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Linqing HUANG | Zhunga LIU | Quan PAN | Jean DEZERT | Q. Pan | J. Dezert | Zhunga Liu | Linqing Huang
[1] Rajat Raina,et al. Self-taught learning: transfer learning from unlabeled data , 2007, ICML '07.
[2] José M. F. Moura,et al. Multiple Source Domain Adaptation with Adversarial Learning , 2018, ICLR.
[3] Tinne Tuytelaars,et al. Unsupervised Visual Domain Adaptation Using Subspace Alignment , 2013, 2013 IEEE International Conference on Computer Vision.
[4] Liang Gao,et al. A New Deep Transfer Learning Based on Sparse Auto-Encoder for Fault Diagnosis , 2019, IEEE Transactions on Systems, Man, and Cybernetics: Systems.
[5] Shiliang Sun,et al. A survey of multi-source domain adaptation , 2015, Inf. Fusion.
[6] Qiang Yang,et al. Boosting for transfer learning , 2007, ICML '07.
[7] Qiang Yang,et al. A Survey on Transfer Learning , 2010, IEEE Transactions on Knowledge and Data Engineering.
[8] Liang Lin,et al. Deep Cocktail Network: Multi-source Unsupervised Domain Adaptation with Category Shift , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[9] Ivor W. Tsang,et al. This article has been accepted for inclusion in a future issue of this journal. Content is final as presented, with the exception of pagination. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS 1 Domain Adaptation from Multiple Sources: A Domain- , 2022 .
[10] Wei He,et al. Fault-alarm-threshold optimization method based on interval evidence reasoning , 2018, Science China Information Sciences.
[11] Thierry Denoeux,et al. Combination of Transferable Classification With Multisource Domain Adaptation Based on Evidential Reasoning , 2020, IEEE Transactions on Neural Networks and Learning Systems.
[12] Yiqiang Chen,et al. Balanced Distribution Adaptation for Transfer Learning , 2017, 2017 IEEE International Conference on Data Mining (ICDM).
[13] Deqing Wang,et al. Aligning Domain-Specific Distribution and Classifier for Cross-Domain Classification from Multiple Sources , 2019, AAAI.
[14] Thierry Denoeux,et al. Logistic Regression, Neural Networks and Dempster-Shafer Theory: a New Perspective , 2018, Knowl. Based Syst..
[15] Shih-Ping Han. A globally convergent method for nonlinear programming , 1975 .
[16] Josephine Sullivan,et al. Apprenticeship Learning: Transfer of Knowledge via Dataset Augmentation , 2013, SCIA.
[17] Philip S. Yu,et al. Transfer Feature Learning with Joint Distribution Adaptation , 2013, 2013 IEEE International Conference on Computer Vision.
[18] Glenn Shafer,et al. A Mathematical Theory of Evidence , 2020, A Mathematical Theory of Evidence.
[19] Umar Aftab,et al. Big Data Augmentation with Data Warehouse: A Survey , 2018, 2018 IEEE International Conference on Big Data (Big Data).
[20] Cheng Wu,et al. Domain Space Transfer Extreme Learning Machine for Domain Adaptation , 2019, IEEE Transactions on Cybernetics.
[21] Amaury Lendasse,et al. Domain Adaption via Feature Selection on Explicit Feature Map , 2019, IEEE Transactions on Neural Networks and Learning Systems.
[22] Quan Pan,et al. Combination of Classifiers With Optimal Weight Based on Evidential Reasoning , 2018, IEEE Transactions on Fuzzy Systems.
[23] Jean Dezert,et al. Credal c-means clustering method based on belief functions , 2015, Knowl. Based Syst..
[24] Philip S. Yu,et al. Transfer Joint Matching for Unsupervised Domain Adaptation , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[25] Hans-Peter Kriegel,et al. Integrating structured biological data by Kernel Maximum Mean Discrepancy , 2006, ISMB.
[26] Yue Cao,et al. Transferable Representation Learning with Deep Adaptation Networks , 2019, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[27] Jean Dezert,et al. On the Validity of Dempster's Fusion Rule and its Interpretation as a Generalization of Bayesian Fusion Rule , 2014, Int. J. Intell. Syst..
[28] Koby Crammer,et al. Analysis of Representations for Domain Adaptation , 2006, NIPS.
[29] Ling Shao,et al. Transfer Learning for Visual Categorization: A Survey , 2015, IEEE Transactions on Neural Networks and Learning Systems.
[30] Cheng Wu,et al. Cross-Domain Extreme Learning Machines for Domain Adaptation , 2019, IEEE Transactions on Systems, Man, and Cybernetics: Systems.
[31] Ming Shao,et al. Incomplete Multisource Transfer Learning , 2018, IEEE Transactions on Neural Networks and Learning Systems.
[32] Yuan Shi,et al. Geodesic flow kernel for unsupervised domain adaptation , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[33] Witold Pedrycz,et al. Aggregating multiple classification results using fuzzy integration and stochastic feature selection , 2010, Int. J. Approx. Reason..
[34] Thierry Denoeux,et al. A k-nearest neighbor classification rule based on Dempster-Shafer theory , 1995, IEEE Trans. Syst. Man Cybern..
[35] Thierry Denoeux,et al. Decision-Making with Belief Functions: a Review , 2018, Int. J. Approx. Reason..
[36] Hui Xiong,et al. A Unified Framework for Metric Transfer Learning , 2017, IEEE Transactions on Knowledge and Data Engineering.
[37] Ivor W. Tsang,et al. Domain Adaptation via Transfer Component Analysis , 2009, IEEE Transactions on Neural Networks.
[38] Ming Shao,et al. Structure-Preserved Multi-source Domain Adaptation , 2016, 2016 IEEE 16th International Conference on Data Mining (ICDM).
[39] Chang-Hua Hu,et al. Fault prediction model based on evidential reasoning approach , 2010, Science China Information Sciences.
[40] Trevor Darrell,et al. Adversarial Discriminative Domain Adaptation , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[41] Kate Saenko,et al. Return of Frustratingly Easy Domain Adaptation , 2015, AAAI.