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Publication search results
found 33 matches
- 2024
- Jack Furby, Daniel Cunnington, Dave Braines, Alun D. Preece:
Can we Constrain Concept Bottleneck Models to Learn Semantically Meaningful Input Features? CoRR abs/2402.00912 (2024) - 2023
- Zeus T. Dominguez-Vega, Mariano Bernaldo de Quirós, Jan Willem J. Elting, Deborah A. Sival, Natasha M. Maurits:
Instrumented Gait Classification Using Meaningful Features in Patients with Impaired Coordination. Sensors 23(20): 8410 (2023) - José A. Galindo, Antonio J. Dominguez, Jules White, David Benavides:
Large Language Models to generate meaningful feature model instances. SPLC (A) 2023: 15-26 - 2022
- Hajar Filali, Jamal Riffi, Ilyasse Aboussaleh, Mohamed Adnane Mahraz, Hamid Tairi:
Meaningful Learning for Deep Facial Emotional Features. Neural Process. Lett. 54(1): 387-404 (2022) - Faiza Qayyum, Harun Jamil, Naeem Iqbal, Do-Hyeun Kim, Muhammad Tanvir Afzal:
Toward potential hybrid features evaluation using MLP-ANN binary classification model to tackle meaningful citations. Scientometrics 127(11): 6471-6499 (2022) - Michael Behringer, Pascal Hirmer, Dennis Tschechlov, Bernhard Mitschang:
Increasing Explainability of Clustering Results for Domain Experts by Identifying Meaningful Features. ICEIS (2) 2022: 364-373 - J. H. McLean, Matthew R. Jones, Brandon J. O'Connell, Andrew Eoghan Maguire, Timothy J. Rogers:
Physically Meaningful Uncertainty Quantification in Probabilistic Wind Turbine Power Curve Models as a Damage Sensitive Feature. CoRR abs/2209.15579 (2022) - 2021
- Faiza Qayyum, Harun Jamil, Faisal Jamil, Do-Hyeun Kim:
Towards Potential Content-Based Features Evaluation to Tackle Meaningful Citations. Symmetry 13(10): 1973 (2021) - Sandareka Wickramanayake, Wynne Hsu, Mong-Li Lee:
Learning Semantically Meaningful Features for Interpretable Classifications. CoRR abs/2101.03919 (2021) - 2020
- Peter Overbury:
Illuminating meaningful diversity in complex feature spaces through adaptive grid-based genetic algorithms. University of Sussex, Falmer, East Sussex, UK, 2020 - Jinjie Wang, Xiongwen Luo, Linsen Xie, Ying Gao:
A Diversified Supervised based U-shape Colorectal Lesion Segmentor with Meaningful Feature Supplement and Multi-Level Residual Attention Mechanism. BIBM 2020: 799-806 - Payam Nikdel, Mo Chen, Richard Vaughan:
Recognizing and Tracking High-Level, Human-Meaningful Navigation Features of Occupancy Grid Maps. CRV 2020: 62-69 - Esteban Fernández Morales, Cong Zhang, Guanghua Xiao, Chul Moon, Qiwei Li:
Discovering Clinically Meaningful Shape Features for the Analysis of Tumor Pathology Images. CoRR abs/2012.04878 (2020) - 2019
- Joan Pastor-Pellicer, María José Castro Bleda, Salvador España Boquera, Francisco Zamora-Martínez:
Handwriting recognition by using deep learning to extract meaningful features. AI Commun. 32(2): 101-112 (2019) - Stephen Woloszynek, Zhengqiao Zhao, Jian Chen, Gail L. Rosen:
16S rRNA sequence embeddings: Meaningful numeric feature representations of nucleotide sequences that are convenient for downstream analyses. PLoS Comput. Biol. 15(2) (2019) - Alejandro Héctor Toselli, Verónica Romero-Gomez, Joan-Andreu Sánchez, Enrique Vidal-Ruiz:
Making Two Vast Historical Manuscript Collections Searchable and Extracting Meaningful Textual Features Through Large-Scale Probabilistic Indexing. ICDAR 2019: 108-113 - Payam Nikdel, Richard Vaughan:
Recognizing and Tracking High-Level, Human-Meaningful Navigation Features of Occupancy Grid Maps. CoRR abs/1903.03669 (2019) - 2018
- Yu-Guang Yang, Yong-Ce Zhang, Xiu-Bo Chen, Yi-Hua Zhou, Wei-Min Shi:
Eliminating the texture features in visually meaningful cipher images. Inf. Sci. 429: 102-119 (2018) - 2017
- M. Khalid Khan Niazi, Keluo Yao, Debra L. Zynger, Steven K. Clinton, James Chen, Mehmet Koyutürk, Thomas LaFramboise, Metin N. Gurcan:
Visually Meaningful Histopathological Features for Automatic Grading of Prostate Cancer. IEEE J. Biomed. Health Informatics 21(4): 1027-1038 (2017) - 2015
- Vered Bernstein, Pnina Soffer:
How Does It Look? Exploring Meaningful Layout Features of Process Models. CAiSE Workshops 2015: 81-86 - 2014
- Agnieszka Wosiak, Danuta Zakrzewska:
Feature Selection for Classification Incorporating Less Meaningful Attributes in Medical Diagnostics. FedCSIS 2014: 235-240 - 2013
- José Anibal Arias, Verónica Rodríguez-López, Rosebet Miranda:
Meaningful Features for Computerized Detection of Breast Cancer. CIARP (2) 2013: 198-205 - 2012
- Iveta Mrázová, Marek Kukacka:
Can Deep Neural Networks Discover Meaningful Pattern Features? Complex Adaptive Systems 2012: 194-199 - 2011
- Lorenzo Beretta, Alessandro Santaniello:
Implementing ReliefF filters to extract meaningful features from genetic lifetime datasets. J. Biomed. Informatics 44(2): 361-369 (2011) - 2008
- Yong Jae Lee, Kristen Grauman:
Foreground Focus: Finding Meaningful Features in Unlabeled Images. BMVC 2008: 1-10 - 2007
- Hyunchul Ahn, Eunsup Choi, Ingoo Han:
Extracting underlying meaningful features and canceling noise using independent component analysis for direct marketing. Expert Syst. Appl. 33(1): 181-191 (2007) - Dusan Omercevic, Ondrej Drbohlav, Ales Leonardis:
High-Dimensional Feature Matching: Employing the Concept of Meaningful Nearest Neighbors. ICCV 2007: 1-8 - 2006
- Bill Kules, Jack Kustanowitz, Ben Shneiderman:
Categorizing web search results into meaningful and stable categories using fast-feature techniques. JCDL 2006: 210-219 - 2005
- Douglas H. Fisher, Mary E. Edgerton, Lianhong Tang, Lewis J. Frey, Zhihua Chen:
Searching for Meaningful Feature Interactions with Backward-Chaining Rule Induction. IDA 2005: 86-96 - Eun Ho Kim, Kyung Hak Hyun, Yoon Keun Kwak:
Robust emotion recognition feature, frequency range of meaningful signal. RO-MAN 2005: 667-671
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