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Publication search results
found 505 matches
- 2024
- Daivid Leal, Israel F. Araujo, Adenilton J. da Silva:
Training and meta-training an ensemble of binary neural networks with quantum computing. Neurocomputing 572: 127169 (2024) - Yao Wang, Xianpeng Wang:
A dual-population multiobjective co-evolutionary matching ensemble learning for product multi-indicator prediction in continuous annealing. Neurocomputing 572: 127226 (2024) - Siren Zhao, Jilun Zhang, Jianbin Zhang:
Predicting UPDRS in Parkinson's disease using ensembles of self-organizing map and neuro-fuzzy. J. Cloud Comput. 13(1): 83 (2024) - Sina Fathi, Ali Ahmadi, Afsaneh Dehnad, Mostafa Almasi-Dooghaee, Melika Sadegh:
A Deep Learning-Based Ensemble Method for Early Diagnosis of Alzheimer's Disease using MRI Images. Neuroinformatics 22(1): 89-105 (2024) - 2023
- Shahid Akbar, Heba G. Mohamed, Hashim Ali, Aamir Saeed, Aftab Ahmed Khan, Sarah Gul, Ashfaq Ahmad, Farman Ali, Yazeed Yasin Ghadi, Muhammad Assam:
Identifying Neuropeptides via Evolutionary and Sequential Based Multi-Perspective Descriptors by Incorporation With Ensemble Classification Strategy. IEEE Access 11: 49024-49034 (2023) - C. Vairavel, N. S. Nithya:
Data Analytics on Unpredictable Pregnancy Data Records Using Ensemble Neuro-Fuzzy Techniques. Comput. Syst. Sci. Eng. 46(2): 2159-2175 (2023) - Ruobin Gao, Ruilin Li, Minghui Hu, Ponnuthurai Nagaratnam Suganthan, Kum Fai Yuen:
Significant wave height forecasting using hybrid ensemble deep randomized networks with neurons pruning. Eng. Appl. Artif. Intell. 117(Part): 105535 (2023) - Hafsaa Ouifak, Ali Idri:
Application of neuro-fuzzy ensembles across domains: A systematic review of the two last decades (2000-2022). Eng. Appl. Artif. Intell. 124: 106582 (2023) - Ruoxi Qin, Linyuan Wang, Xuehui Du, Pengfei Xie, Xingyuan Chen, Bin Yan:
Adversarial robustness in deep neural networks based on variable attributes of the stochastic ensemble model. Frontiers Neurorobotics 17 (2023) - M. Tanveer, Aryan Rastogi, Vardhan Paliwal, M. A. Ganaie, Ashwani Kumar Malik, Javier Del Ser, Chin-Teng Lin:
Ensemble deep learning in speech signal tasks: A review. Neurocomputing 550: 126436 (2023) - Yu Wang, Alexey Vinogradov:
Simple is good: Investigation of history-state ensemble deep neural networks and their validation on rotating machinery fault diagnosis. Neurocomputing 548: 126353 (2023) - Francesco Craighero, Fabrizio Angaroni, Fabio Stella, Chiara Damiani, Marco Antoniotti, Alex Graudenzi:
Unity is strength: Improving the detection of adversarial examples with ensemble approaches. Neurocomputing 554: 126576 (2023) - Laura Fdez-Díaz, José Ramón Quevedo, Elena Montañés:
Regularized boosting with an increasing coefficient magnitude stop criterion as meta-learner in hyperparameter optimization stacking ensemble. Neurocomputing 551: 126516 (2023) - Bin Liu:
Robust sequential online prediction with dynamic ensemble of multiple models: A review. Neurocomputing 552: 126553 (2023) - Guoqiang Liu, Gang Chen, Victoria Huang:
Policy ensemble gradient for continuous control problems in deep reinforcement learning. Neurocomputing 548: 126381 (2023) - Ibon Merino, Jon Azpiazu, Anthony Remazeilles, Basilio Sierra:
Ensemble of 6 DoF Pose estimation from state-of-the-art deep methods. Neurocomputing 541: 126270 (2023) - César Peláez-Rodríguez, Jorge Pérez-Aracil, A. de Lopez-Diz, Carlos Casanova-Mateo, Dusan Fister, Silvia Jiménez-Fernández, Sancho Salcedo-Sanz:
Deep learning ensembles for accurate fog-related low-visibility events forecasting. Neurocomputing 549: 126435 (2023) - Zhiqiang Wang, Xiaojing Gu, Jingyu Hu, Xingsheng Gu:
Ensemble anomaly score for video anomaly detection using denoise diffusion model and motion filters. Neurocomputing 553: 126589 (2023) - Jobin Wilson, Santanu Chaudhury, Brejesh Lall:
Homogeneous-Heterogeneous Hybrid Ensemble for concept-drift adaptation. Neurocomputing 557: 126741 (2023) - Weilin Yuan, Shaofei Chen, Peng Li, Jing Chen:
Ensemble strategy learning for imperfect information games. Neurocomputing 546: 126241 (2023) - Tianqi Song, Clémentine Bodin, Olivier Coulon:
Ensemble learning for the detection of pli-de-passages in the superior temporal sulcus. NeuroImage 265: 119776 (2023) - Chaoqiang Liu, Fei Huang, Anqi Qiu, Alzheimer's Disease Neuroimaging Initiative:
Monte Carlo Ensemble Neural Network for the diagnosis of Alzheimer's disease. Neural Networks 159: 14-24 (2023) - Phillip Navarro, Karim G. Oweiss:
Compressive sensing of functional connectivity maps from patterned optogenetic stimulation of neuronal ensembles. Patterns 4(10): 100845 (2023) - Marcel Merten, Rune Krauss, Rolf Drechsler:
Scalable Neuroevolution of Ensemble Learners. GECCO Companion 2023: 667-670 - Matthew J. Tilley, Michelle Miller, David Freedman:
Artificial Neuronal Ensembles with Learned Context Dependent Gating. ICLR 2023 - Christian Oliva, Vinicio Changoluisa, Francisco B. Rodríguez, Luis Fernando Lago-Fernández:
Detecting P300-ERPs Building a Post-validation Neural Ensemble with Informative Neurons from a Recurrent Neural Network. AIAI (1) 2023: 90-101 - Jiatao Li, Xuelong Sun, Haiyang Li, Jigen Peng, Qinbing Fu:
On the Ensemble of Collision Perception Neuron Models Towards Ultra-Selectivity. IJCNN 2023: 1-8 - Sergej Olenin, Tatiana A. Levanova:
Extreme events in small ensemble of bursting neurons with chemical and electrical couplings. IJCNN 2023: 1-6 - Matthew J. Tilley, Michelle Miller, David Freedman:
Artificial Neuronal Ensembles with Learned Context Dependent Gating. CoRR abs/2301.07187 (2023) - Anna Jenul, Henning Langen Stokmo, Stefan Schrunner, Mona-Elisabeth Revheim, Geir Olav Hjortland, Oliver Tomic:
Towards Understanding the Survival of Patients with High-Grade Gastroenteropancreatic Neuroendocrine Neoplasms: An Investigation of Ensemble Feature Selection in the Prediction of Overall Survival. CoRR abs/2302.10106 (2023)
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