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Publication search results
found 3,518 matches
- 2025
- Dominik Olszewski:
Asymmetry index for data and its verification in dimensionality reduction and data visualization. Inf. Sci. 689: 121405 (2025) - Antonio Augusto Teixeira Peixoto, Carlos Alexandre Rolim Fernandes, Pablo Eduardo Espinoza Lara, L. Adolfo Inza:
Low-correlation multilinear dimensionality reduction applied to volcano-seismic classification. Pattern Recognit. 158: 110946 (2025) - 2024
- Mahsun Altin, Altan Cakir:
Exploring the Influence of Dimensionality Reduction on Anomaly Detection Performance in Multivariate Time Series. IEEE Access 12: 85783-85794 (2024) - Korhan Cengiz, Swati Lipsa, Ranjan Kumar Dash, Nikola Ivkovic, Mario Konecki:
A Novel Intrusion Detection System Based on Artificial Neural Network and Genetic Algorithm With a New Dimensionality Reduction Technique for UAV Communication. IEEE Access 12: 4925-4937 (2024) - Salahaldeen Duraibi, Abdullah Mujawib Alashjaee:
Enhancing Cyberattack Detection Using Dimensionality Reduction With Hybrid Deep Learning on Internet of Things Environment. IEEE Access 12: 84752-84762 (2024) - Daniel González-Cortés, Enrique Onieva, Iker Pastor-López, Laura Trinchera, Jian Wu:
Autoencoder-Enhanced Clustering: A Dimensionality Reduction Approach to Financial Time Series. IEEE Access 12: 16999-17009 (2024) - Ryan Hodgson, Jingyun Wang, Alexandra I. Cristea, John Graham:
Partially-Supervised Metric Learning via Dimensionality Reduction of Text Embeddings Using Transformer Encoders and Attention Mechanisms. IEEE Access 12: 77536-77554 (2024) - Yaosong Yu, Dongpu Sun:
Incomplete Multi-View Clustering Based on Dynamic Dimensionality Reduction Weighted Graph Learning. IEEE Access 12: 19087-19099 (2024) - Jianbin Zheng, Ziyao Chen, Liping Huang, Yifan Gao, Xiangxiang Yu, Hui Wang, Jiamei Yang, Yu Wang:
DWSCNN Online Signature Verification Algorithm Based on CAE-MV Feature Dimensionality Reduction. IEEE Access 12: 22144-22157 (2024) - Cem Bulut, Emel Arslan:
Comparison of the impact of dimensionality reduction and data splitting on classification performance in credit risk assessment. Artif. Intell. Rev. 57(9): 252 (2024) - Weizhi Xiong, Guolin Yu, Jun Ma, Sheng Liu:
A novel robust adaptive subspace learning framework for dimensionality reduction. Appl. Intell. 54(19): 8939-8967 (2024) - Behrouz Ahadzadeh, Moloud Abdar, Fatemeh Safara, Leyla Aghaei, Seyedali Mirjalili, Abbas Khosravi, Salvador García, Fakhri Karray, U. Rajendra Acharya:
Improved binary differential evolution with dimensionality reduction mechanism and binary stochastic search for feature selection. Appl. Soft Comput. 151: 111141 (2024) - Jeanfranco Farfan, Gabriel Cirac Mendes Souza, Guilherme Daniel Avansi, Célio Maschio, Denis José Schiozer, Anderson Rocha:
End-to-end dimensionality reduction and regression from 3D geological uncertainties to estimate oil reservoir simulations. Appl. Soft Comput. 162: 111799 (2024) - Ankit Thakkar, Nandish Kikani, Rebekah Geddam:
Fusion of linear and non-linear dimensionality reduction techniques for feature reduction in LSTM-based Intrusion Detection System. Appl. Soft Comput. 154: 111378 (2024) - Qifeng Wan, Xuanhua Xu, Jing Han:
A dimensionality reduction method for large-scale group decision-making using TF-IDF feature similarity and information loss entropy. Appl. Soft Comput. 150: 111039 (2024) - Zitao Wang, Chao Yue, Jianping Wang:
An optimization framework with dimensionality reduction using Markov Chain Monte Carlo and genetic algorithms for groundwater potential assessment. Appl. Soft Comput. 164: 111991 (2024) - Jihai Yi, Huiyu Duan, Jikui Wang, Zhengguo Yang, Feiping Nie:
Structure preserved fast dimensionality reduction. Appl. Soft Comput. 162: 111817 (2024) - Lea Eckhart, Kerstin Lenhof, Lisa-Marie Rolli, Hans-Peter Lenhof:
A comprehensive benchmarking of machine learning algorithms and dimensionality reduction methods for drug sensitivity prediction. Briefings Bioinform. 25(4) (2024) - Zeyu Luo, Rui Wang, Yawen Sun, Junhao Liu, Herman Z. Q. Chen, Yu-Juan Zhang:
Interpretable feature extraction and dimensionality reduction in ESM2 for protein localization prediction. Briefings Bioinform. 25(2) (2024) - Onder Tutsoy, Hilmi Erdem Sumbul:
A novel deep machine learning algorithm with dimensionality and size reduction approaches for feature elimination: thyroid cancer diagnoses with randomly missing data. Briefings Bioinform. 25(4) (2024) - S. R. Oshternian, S. Loipfinger, A. Bhattacharya, Rudolf S. N. Fehrmann:
Exploring combinations of dimensionality reduction, transfer learning, and regularization methods for predicting binary phenotypes with transcriptomic data. BMC Bioinform. 25(1): 167 (2024) - David G. Aragones, Miguel Palomino-Segura, Jon Sicilia, Georgiana Crainiciuc, Iván Ballesteros, Fátima Sánchez-Cabo, Andrés Hidalgo, Gabriel Fernández Calvo:
Variable selection for nonlinear dimensionality reduction of biological datasets through bootstrapping of correlation networks. Comput. Biol. Medicine 168: 107827 (2024) - Fatma Gouiaa, Kelly L. Vomo-Donfack, Alexy Tran-Dinh, Ian Morilla:
Novel dimensionality reduction method, Taelcore, enhances lung transplantation risk prediction. Comput. Biol. Medicine 169: 107969 (2024) - Niki Triantafyllou, Ben Lyons, Andrea Bernardi, Benoît Chachuat, Cleo Kontoravdi, Maria M. Papathanasiou:
Comparative assessment of simulation-based and surrogate-based approaches to flowsheet optimization using dimensionality reduction. Comput. Chem. Eng. 189: 108807 (2024) - Pooja Kumari, Ankit Kumar Jain:
Timely detection of DDoS attacks in IoT with dimensionality reduction. Clust. Comput. 27(6): 7869-7887 (2024) - R.-Julius O. Heitmann, Ninja Soeffker, Frank Klawonn, Marlin W. Ulmer, Dirk C. Mattfeld:
Accelerating value function approximations for dynamic dial-a-ride problems via dimensionality reductions. Comput. Oper. Res. 167: 106639 (2024) - Jieke Zhang, Zhi Zheng, Cheng Wang:
Robust Adaptive Beamforming Based on Covariance Matrix Reconstruction with Gaussian Random Dimensionality Reduction. Circuits Syst. Signal Process. 43(9): 6035-6046 (2024) - Faisal Nabi, Xujuan Zhou:
Enhancing intrusion detection systems through dimensionality reduction: A comparative study of machine learning techniques for cyber security. Cyber Secur. Appl. 2: 100033 (2024) - Paolo Bonetti, Alberto Maria Metelli, Marcello Restelli:
Interpretable linear dimensionality reduction based on bias-variance analysis. Data Min. Knowl. Discov. 38(4): 1713-1781 (2024) - Texian Zhang, G. Alan Wang, Zhen He, Amitava Mukherjee:
Service failure monitoring via multivariate multiple linear regression profile schemes with dimensionality reduction. Decis. Support Syst. 178: 114122 (2024)
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