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A Survey on Ensemble Learning under the Era of Deep Learning
Artificial Intelligence Review (AIR), 2021
21 January 2021
Yongquan Yang
Haijun Lv
Ning Chen
OOD
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Papers citing
"A Survey on Ensemble Learning under the Era of Deep Learning"
39 / 39 papers shown
Enhancing Early Alzheimer Disease Detection through Big Data and Ensemble Few-Shot Learning
IEEE journal of biomedical and health informatics (IEEE JBHI), 2024
Safa Ben Atitallah
Maha Driss
W. Boulila
Anis Koubaa
137
9
0
22 Oct 2025
Predicting person-level injury severity using crash narratives: A balanced approach with roadway classification and natural language process techniques
Mohammad Zana Majidi
Sajjad Karimi
Teng Wang
Robert Kluger
Reginald Souleyrette
144
3
0
09 Sep 2025
CoFormer: Collaborating with Heterogeneous Edge Devices for Scalable Transformer Inference
IEEE transactions on computers (IEEE Trans. Comput.), 2025
Guanyu Xu
Zhiwei Hao
Li Shen
Yong Luo
Fuhui Sun
Xiaoyan Wang
Han Hu
Yonggang Wen
208
2
0
28 Aug 2025
Agentic AI with Orchestrator-Agent Trust: A Modular Visual Classification Framework with Trust-Aware Orchestration and RAG-Based Reasoning
Konstantinos I. Roumeliotis
Ranjan Sapkota
Manoj Karkee
Nikolaos D. Tselikas
320
0
0
09 Jul 2025
Smart Buildings Energy Consumption Forecasting using Adaptive Evolutionary Ensemble Learning Models
Mehdi Neshat
M. Thilakaratne
Mohammed El-Abd
Seyedali Mirjalili
Amir Gandomi
John Boland
359
3
0
13 Jun 2025
Towards Machine Learning-based Model Predictive Control for HVAC Control in Multi-Context Buildings at Scale via Ensemble Learning
International Conference on Systems for Energy-Efficient Built Environments (BuildSys), 2024
Yang Deng
Yaohui Liu
Rui Liang
Dafang Zhao
Donghua Xie
Ittetsu Taniguchi
Dan Wang
AI4CE
976
0
0
05 May 2025
Enhancing Strawberry Yield Forecasting with Backcasted IoT Sensor Data and Machine Learning
Tewodros Alemu Ayall
Andy Li
Matthew Beddows
Milan Markovic
Georgios Leontidis
245
0
0
25 Apr 2025
Semantic-Preserving Transformations as Mutation Operators: A Study on Their Effectiveness in Defect Detection
Max Hort
Linas Vidziunas
Leon Moonen
296
4
0
30 Mar 2025
Improving User Behavior Prediction: Leveraging Annotator Metadata in Supervised Machine Learning Models
Proceedings of the ACM on Human-Computer Interaction (PACMHCI), 2025
Lynnette Ng
Kokil Jaidka
Kaiyuan Tay
Hansin Ahuja
Niyati Chhaya
396
2
0
26 Mar 2025
Balanced Direction from Multifarious Choices: Arithmetic Meta-Learning for Domain Generalization
Computer Vision and Pattern Recognition (CVPR), 2025
Xiran Wang
Jian Zhang
Lei Qi
Yinghuan Shi
350
7
0
23 Mar 2025
Robustness of Generalized Median Computation for Consensus Learning in Arbitrary Spaces
Andreas Nienkötter
Sandro Vega-Pons
Xiaoyi Jiang
240
1
0
07 Mar 2025
Adaptive Cybersecurity: Dynamically Retrainable Firewalls for Real-Time Network Protection
Sina Ahmadi
AAML
AI4CE
163
5
0
17 Jan 2025
A Self-Constructing Multi-Expert Fuzzy System for High-dimensional Data Classification
Yingtao Ren
Yu-Cheng Chang
T. Do
Zehong Cao
Chin-Teng Lin
208
0
0
17 Oct 2024
The More the Merrier? Navigating Accuracy vs. Energy Efficiency Design Trade-Offs in Ensemble Learning Systems
Rafiullah Omar
Justus Bogner
H. Muccini
Patricia Lago
Silverio Martínez-Fernández
Xavier Franch
247
4
0
03 Jul 2024
Dropout MPC: An Ensemble Neural MPC Approach for Systems with Learned Dynamics
Spyridon Syntakas
K. Vlachos
267
3
0
04 Jun 2024
ACTION: Augmentation and Computation Toolbox for Brain Network Analysis with Functional MRI
NeuroImage (NeuroImage), 2024
Yuqi Fang
Junhao Zhang
Linmin Wang
Qianqian Wang
Mingxia Liu
MedIm
277
7
0
10 May 2024
E2GNN: Efficient Graph Neural Network Ensembles for Semi-Supervised Classification
Xin Zhang
Daochen Zha
Qiaoyu Tan
268
2
0
06 May 2024
S2DEVFMAP: Self-Supervised Learning Framework with Dual Ensemble Voting Fusion for Maximizing Anomaly Prediction in Timeseries
Sarala Naidu
Ning Xi
199
7
0
24 Apr 2024
Socialized Learning: A Survey of the Paradigm Shift for Edge Intelligence in Networked Systems
Xiaofei Wang
Yunfeng Zhao
Chao Qiu
Qinghua Hu
Victor C. M. Leung
249
11
0
20 Apr 2024
EBBS: An Ensemble with Bi-Level Beam Search for Zero-Shot Machine Translation
Yuqiao Wen
Behzad Shayegh
Chenyang Huang
Yanshuai Cao
Lili Mou
459
8
0
29 Feb 2024
OPDAI at SemEval-2024 Task 6: Small LLMs can Accelerate Hallucination Detection with Weakly Supervised Data
Chengcheng Wei
Ze Chen
Songtan Fang
Jiarong He
Max Gao
195
10
0
20 Feb 2024
Purifying Large Language Models by Ensembling a Small Language Model
Tianlin Li
Qian Liu
Tianyu Pang
Chao Du
Qing Guo
Yang Liu
Min Lin
300
30
0
19 Feb 2024
ADA-YOLO: Dynamic Fusion of YOLOv8 and Adaptive Heads for Precise Image Detection and Diagnosis
Shun Liu
Jianan Zhang
Ruocheng Song
Teik Toe Teoh
155
8
0
14 Dec 2023
ResEnsemble-DDPM: Residual Denoising Diffusion Probabilistic Models for Ensemble Learning
Zhenning Shi
Changsheng Dong
Xueshuo Xie
Bin Pan
Along He
Li Tao
DiffM
MedIm
315
0
0
04 Dec 2023
Applications of Spiking Neural Networks in Visual Place Recognition
IEEE Transactions on robotics (TRO), 2023
S. Hussaini
Michael Milford
Tobias Fischer
684
16
0
22 Nov 2023
Relearning Forgotten Knowledge: on Forgetting, Overfit and Training-Free Ensembles of DNNs
Uri Stern
D. Weinshall
CLL
323
0
0
17 Oct 2023
How (not) to ensemble LVLMs for VQA
Lisa Alazraki
Lluis Castrejon
Mostafa Dehghani
Fantine Huot
J. Uijlings
Thomas Mensink
318
5
0
10 Oct 2023
Building a Winning Team: Selecting Source Model Ensembles using a Submodular Transferability Estimation Approach
IEEE International Conference on Computer Vision (ICCV), 2023
KB Vimal
Saketh Bachu
Tanmay Garg
Niveditha Lakshmi Narasimhan
Raghavan Konuru
Vineeth N. Balasubramanian
260
3
0
05 Sep 2023
Learning for Interval Prediction of Electricity Demand: A Cluster-based Bootstrapping Approach
Rohit Dube
Natarajan Gautam
Amarnath Banerjee
Harsha Nagarajan
205
0
0
04 Sep 2023
Structured Radial Basis Function Network: Modelling Diversity for Multiple Hypotheses Prediction
SGAI Conferences (SGAI), 2023
Alejandro Rodriguez Dominguez
Muhammad Shahzad
Xia Hong
283
2
0
02 Sep 2023
Domain-Agnostic Neural Architecture for Class Incremental Continual Learning in Document Processing Platform
Annual Meeting of the Association for Computational Linguistics (ACL), 2023
Mateusz Wójcik
Witold Ko'sciukiewicz
Mateusz Baran
Tomasz Kajdanowicz
Adam Gonczarek
CLL
281
2
0
11 Jul 2023
Combating Confirmation Bias: A Unified Pseudo-Labeling Framework for Entity Alignment
Data mining and knowledge discovery (DMKD), 2023
Qijie Ding
Jie Yin
Daokun Zhang
Junbin Gao
711
9
0
05 Jul 2023
Experts' cognition-driven ensemble deep learning for external validation of predicting pathological complete response to neoadjuvant chemotherapy from histological images in breast cancer
Yongquan Yang
Fengling Li
Yani Wei
Yuanyuan Zhao
Jing Fu
Xiuli Xiao
Hong Bu
275
9
0
19 Jun 2023
Experts' cognition-driven safe noisy labels learning for precise segmentation of residual tumor in breast cancer
Yongquan Yang
Jie Chen
Yani Wei
Mohammad H. Alobaidi
Hong Bu
NoLa
401
1
0
13 Apr 2023
Practical Knowledge Distillation: Using DNNs to Beat DNNs
Chungman Lee
Pavlos Anastasios Apostolopulos
Igor L. Markov
FedML
217
2
0
23 Feb 2023
Neural Architecture for Online Ensemble Continual Learning
Mateusz Wójcik
Witold Ko'sciukiewicz
Tomasz Kajdanowicz
Adam Gonczarek
CLL
334
1
0
27 Nov 2022
Towards Trustworthy AI-Empowered Real-Time Bidding for Online Advertisement Auctioning
ACM Computing Surveys (ACM CSUR), 2022
Xiaoli Tang
Han Yu
268
13
0
21 Sep 2022
LENAS: Learning-based Neural Architecture Search and Ensemble for 3D Radiotherapy Dose Prediction
IEEE Transactions on Cybernetics (IEEE Trans. Cybern.), 2021
Yi Lin
Yanfei Liu
Hao-tao Chen
Xin Yang
Kai Ma
Yefeng Zheng
Kwang-Ting Cheng
3DV
324
9
0
12 Jun 2021
Moderately Supervised Learning: Definition, Framework and Generality
Artificial Intelligence Review (AI Review), 2020
Yongquan Yang
OffRL
472
9
0
27 Aug 2020
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