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Publication search results
found 381 matches
- 2024
- Poonam Rani, Jyoti Shokeen:
FNNet: a secure ensemble-based approach for fake news detection using blockchain. J. Supercomput. 80(14): 20042-20079 (2024) - 2021
- Rahul Rahaman, Alexandre H. Thiéry:
Uncertainty Quantification and Deep Ensembles. NeurIPS 2021: 20063-20075 - 2020
- Hao Chen, Abhinav Shrivastava:
Group Ensemble: Learning an Ensemble of ConvNets in a single ConvNet. CoRR abs/2007.00649 (2020) - Tahjid Ashfaque Mostafa, Irene Cheng:
Parkinson's Disease Detection Using Ensemble Architecture from MR Images. CoRR abs/2007.00682 (2020) - Andrey A. Popov, Changhong Mou, Traian Iliescu, Adrian Sandu:
A Multifidelity Ensemble Kalman Filter with Reduced Order Control Variates. CoRR abs/2007.00793 (2020) - Michael Gimelfarb, Scott Sanner, Chi-Guhn Lee:
ε-BMC: A Bayesian Ensemble Approach to Epsilon-Greedy Exploration in Model-Free Reinforcement Learning. CoRR abs/2007.00869 (2020) - Antonio Macaluso, Luca Clissa, Stefano Lodi, Claudio Sartori:
Quantum Ensemble for Classification. CoRR abs/2007.01028 (2020) - Jingyi He, Xiaojun Zhou, Rundong Zhang, Chunhua Yang:
An ensemble learning framework based on group decision making. CoRR abs/2007.01167 (2020) - Abdul Mueed Hafiz, Ghulam Mohiuddin Bhat:
Multiclass Classification with an Ensemble of Binary Classification Deep Networks. CoRR abs/2007.01192 (2020) - Suraj P. Kesavan, Harsh Bhatia, Abhinav Bhatele, Todd Gamblin, Peer-Timo Bremer, Kwan-Liu Ma:
Scalable Comparative Visualization of Ensembles of Call Graphs. CoRR abs/2007.01395 (2020) - Yuting Liang, Reza Samavi:
Towards Robust Deep Learning with Ensemble Networks and Noisy Layers. CoRR abs/2007.01507 (2020) - Halcyon Davys Pereira De Carvalho, Marília Nayara Clemente de Almeida Lima, Wylliams Barbosa Santos, Roberta A. de A. Fagunde:
Ensemble Regression Models for Software Development Effort Estimation: A Comparative Study. CoRR abs/2007.01719 (2020) - Wei-Yao Wang, Kai-Shiang Chang, Yu-Chien Tang:
EmotionGIF-Yankee: A Sentiment Classifier with Robust Model Based Ensemble Methods. CoRR abs/2007.02259 (2020) - Thomas J. Ringstrom, Mohammadhosein Hasanbeig, Alessandro Abate:
Jump Operator Planning: Goal-Conditioned Policy Ensembles and Zero-Shot Transfer. CoRR abs/2007.02527 (2020) - Kuntoro Adi Nugroho, Noor Akhmad Setiawan, Teguh Bharata Adji:
Coronary Heart Disease Diagnosis Based on Improved Ensemble Learning. CoRR abs/2007.02895 (2020) - Baihong Jin, Yingshui Tan, Yuxin Chen, Kameshwar Poolla, Alberto L. Sangiovanni-Vincentelli:
Are Ensemble Classifiers Powerful Enough for the Detection and Diagnosis of Intermediate-Severity Faults? CoRR abs/2007.03167 (2020) - Kun Li, Fanglan Zheng, Jiang Tian, Xiaojia Xiang:
A Federated F-score Based Ensemble Model for Automatic Rule Extraction. CoRR abs/2007.03533 (2020) - A. L. Peirson, R. W. Romani, H. L. Marshall, J. F. Steiner, L. Baldini:
Deep Ensemble Analysis for Imaging X-ray Polarimetry. CoRR abs/2007.03828 (2020) - Asa Cooper Stickland, Iain Murray:
Diverse Ensembles Improve Calibration. CoRR abs/2007.04206 (2020) - Majid Ramezani, Mohammad-Reza Feizi-Derakhshi, Mohammad Ali Balafar, Meysam Asgari-Chenaghlu, Ali-Reza Feizi-Derakhshi, Narjes Nikzad-Khasmakhi, Mehrdad Ranjbar-Khadivi, Zoleikha Jahanbakhsh-Nagadeh, Elnaz Zafarani-Moattar, Taymaz Rahkar-Farshi:
Automatic Personality Prediction; an Enhanced Method Using Ensemble Modeling. CoRR abs/2007.04571 (2020) - Christoffer Löffler, Karthik Ayyalasomayajula, Sascha Riechel, Christopher Mutschler:
IALE: Imitating Active Learner Ensembles. CoRR abs/2007.04637 (2020) - Kimin Lee, Michael Laskin, Aravind Srinivas, Pieter Abbeel:
SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning. CoRR abs/2007.04938 (2020) - Adarsh K. Jeewajee, Leslie Pack Kaelbling:
Adversarially-learned Inference via an Ensemble of Discrete Undirected Graphical Models. CoRR abs/2007.05033 (2020) - Fu Xiong, Yang Xiao, Zhiguo Cao, Yancheng Wang, Joey Tianyi Zhou, Jianxi Wu:
ECML: An Ensemble Cascade Metric Learning Mechanism towards Face Verification. CoRR abs/2007.05720 (2020) - Bobby He, Balaji Lakshminarayanan, Yee Whye Teh:
Bayesian Deep Ensembles via the Neural Tangent Kernel. CoRR abs/2007.05864 (2020) - Yingshui Tan, Baihong Jin, Xiangyu Yue, Yuxin Chen, Alberto L. Sangiovanni-Vincentelli:
Exploiting Uncertainties from Ensemble Learners to Improve Decision-Making in Healthcare AI. CoRR abs/2007.06063 (2020) - Cong Chen, Shouyang Dong, Ye Tian, Kunlin Cao, Li Liu, Yuanhao Guo:
Temporal Self-Ensembling Teacher for Semi-Supervised Object Detection. CoRR abs/2007.06144 (2020) - George Petrides, Wouter Verbeke:
Misclassification cost-sensitive ensemble learning: A unifying framework. CoRR abs/2007.07361 (2020) - Byeongjo Kim, Chanran Kim, Jaehoon Lee, Jein Song, Gyoungsoo Park:
Data-Efficient Deep Learning Method for Image Classification Using Data Augmentation, Focal Cosine Loss, and Ensemble. CoRR abs/2007.07805 (2020) - Loris Nanni, Gianluca Maguolo, Sheryl Brahnam, Michelangelo Paci:
An Ensemble of Convolutional Neural Networks for Audio Classification. CoRR abs/2007.07966 (2020)
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