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Publication search results
found 66 matches
- 2024
- Farhad Pourpanah, Chee Peng Lim, Ali Etemad, Q. M. Jonathan Wu:
An Ensemble Semi-Supervised Adaptive Resonance Theory Model With Explanation Capability for Pattern Classification. IEEE Trans. Emerg. Top. Comput. Intell. 8(1): 814-827 (2024) - 2023
- Yang Lu, Xianpeng Tao, Nianyin Zeng, Jiaojiao Du, Rou Shang:
Enhanced CNN Classification Capability for Small Rice Disease Datasets Using Progressive WGAN-GP: Algorithms and Applications. Remote. Sens. 15(7): 1789 (2023) - Lingli Zhao, Shuang Wang, Yubin Xu, Weidong Sun, Lei Shi, Jie Yang, Jadunandan Dash:
Evaluating the Capability of Sentinel-1 Data in the Classification of Canola and Wheat at Different Growth Stages and in Different Years. Remote. Sens. 15(11): 2731 (2023) - Weiqiang Jin, Biao Zhao, Guizhong Liu:
Exploring the Capability of ChatGPT for Cross-Linguistic Agricultural Document Classification: Investigation and Evaluation. ICONIP (11) 2023: 220-237 - Georgios Koutsopoulos:
A synthesis of diverse organizational capability typologies and classifications. PoEM Companion 2023 - Maddineni Bhargava, Karthika Vijayan, Oshin Anand, Gaurav Raina:
Exploration of transfer learning capability of multilingual models for text classification. PRIS 2023: 45-50 - Farhad Pourpanah, Chee Peng Lim, Ali Etemad, Q. M. Jonathan Wu:
An Ensemble Semi-Supervised Adaptive Resonance Theory Model with Explanation Capability for Pattern Classification. CoRR abs/2305.14373 (2023) - 2022
- Caroline M. Gevaert, Mariana Belgiu:
Assessing the generalization capability of deep learning networks for aerial image classification using landscape metrics. Int. J. Appl. Earth Obs. Geoinformation 114: 103054 (2022) - Rui Zhang, Xiaolu Bai, Lihu Pan, ZengShou Dong, Renwang Song:
Zero-small sample classification method with model structure self-optimization and its application in capability evaluation. Appl. Intell. 52(5): 5696-5717 (2022) - Ahhyoun Kim, Hyunjoong Kim:
A new classification tree method with interaction detection capability. Comput. Stat. Data Anal. 165: 107324 (2022) - Paolo Ferrari, Emiliano Sisinni, Paolo Bellagente, Alessandro Depari, Alessandra Flammini, Marco Pasetti, Stefano Rinaldi:
Improving classification capability of industrial-grade ATE by means of cloud architecture. I2MTC 2022: 1-6 - 2021
- Vikas Kumar Malviya, Sawan Rai, Atul Gupta:
Development of web browser prototype with embedded classification capability for mitigating Cross-Site Scripting attacks. Appl. Soft Comput. 102: 106873 (2021) - Nima Garousi Mokhtarzadeh, Hannan Amoozad Mahdiraji, Ismail Jafarpanah, Vahid Jafari-Sadeghi, Stefano Bresciani:
Classification of inter-organizational knowledge mechanisms and their effects on networking capability: a multi-layer decision making approach. J. Knowl. Manag. 25(7): 1665-1688 (2021) - Thomas Hubregtsen, Josef Pichlmeier, Patrick Stecher, Koen Bertels:
Evaluation of parameterized quantum circuits: on the relation between classification accuracy, expressibility, and entangling capability. Quantum Mach. Intell. 3(1): 1-19 (2021) - Enhai Liu, Yu Zheng, Bin Pan, Xia Xu, Zhenwei Shi:
DCL-Net: Augmenting the Capability of Classification and Localization for Remote Sensing Object Detection. IEEE Trans. Geosci. Remote. Sens. 59(9): 7933-7944 (2021) - Martha Rebeca Canales-Fiscal, Rocío Ortiz López, Regina Barzilay, Victor Treviño, Servando Cardona-Huerta, Luis Javier Ramírez-Treviño, Adam Yala, José G. Tamez-Peña:
COVID-19 classification using thermal images: thermal images capability for identifying COVID-19 using traditional machine learning classifiers. BCB 2021: 34:1-34:5 - Junan Chen, Zhiwen Tan, Daqi Guo, Lei Chen:
A Classification Method Based on Multifactor Dimensionality Reduction for Biosafety Threat Defense Capability Evaluation. CIS 2021: 187-191 - Shan Wang, Yue Wang, Qilong Zhao, Zhijiang Yang, Weiyu Guo, Xiuli Wang:
Exploring Classification Capability of CNN Features. ICPCSEE (1) 2021: 268-282 - 2020
- Merin Loukrakpam, Madhuchhanda Choudhury:
Hardware-Efficient VLSI Design for Cascade Support Vector Machine with On-Chip Training and Classification Capability. Circuits Syst. Signal Process. 39(10): 5272-5297 (2020) - Changxuan Zhao, Mahmoud Dinar, Shreyes N. Melkote:
Automated Classification of Manufacturing Process Capability Utilizing Part Shape, Material, and Quality Attributes. J. Comput. Inf. Sci. Eng. 20(2) (2020) - Thomas Hubregtsen, Josef Pichlmeier, Koen Bertels:
Evaluation of Parameterized Quantum Circuits: on the design, and the relation between classification accuracy, expressibility and entangling capability. CoRR abs/2003.09887 (2020) - 2019
- Hao Cheng, Dongze Lian, Shenghua Gao, Yanlin Geng:
Utilizing Information Bottleneck to Evaluate the Capability of Deep Neural Networks for Image Classification. Entropy 21(5): 456 (2019) - Min Yang, Wei Zhao, Lei Chen, Qiang Qu, Zhou Zhao, Ying Shen:
Investigating the transferring capability of capsule networks for text classification. Neural Networks 118: 247-261 (2019) - Ehsan Shahrabi Farahani, Samiul H. Choudhury, Fiona Costello, Bradley G. Goodyear, Michael R. Smith:
New Filtering Approaches to Improve the Classification Capability of Resting-state fMRI Transfer Functions. GlobalSIP 2019: 1-5 - Soma Shiraishi, Katsumi Kikuchi, Kota Iwamoto:
Classification System with Capability to Reject Unknowns. IST 2019: 1-6 - Vassili Kovalev, Siarhei Kazlouski:
Examining the Capability of GANs to Replace Real Biomedical Images in Classification Models Training. CoRR abs/1904.08688 (2019) - 2018
- Kiran Dasari, Anjaneyulu Lokam:
Exploring the Capability of Compact Polarimetry (Hybrid Pol) C Band RISAT-1 Data for Land Cover Classification. IEEE Access 6: 57981-57993 (2018) - Omar Ahmed, Shawki Areibi, Karanvir Chattha, Ben Kelly:
Corrigendum to "PCIU: Hardware Implementations of an Efficient Packet Classification Algorithm with an Incremental Update Capability". Int. J. Reconfigurable Comput. 2018 (2018) - Ramin Sabbagh, Farhad Ameri, Reid Yoder:
Thesaurus-Guided Text Analytics Technique for Capability-Based Classification of Manufacturing Suppliers. J. Comput. Inf. Sci. Eng. 18(3) (2018) - Luxon Nhamo, Ruben van Dijk, James Magidi, David Wiberg, Khathu Tshikolomo:
Improving the Accuracy of Remotely Sensed Irrigated Areas Using Post-Classification Enhancement Through UAV Capability. Remote. Sens. 10(5): 712 (2018)
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