Artículos de revistas sobre el tema "Interpretable By Design Architectures"
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Zhang, Xinyu, Vincent C. S. Lee, Jia Rong, Feng Liu y Haoyu Kong. "Multi-channel convolutional neural network architectures for thyroid cancer detection". PLOS ONE 17, n.º 1 (21 de enero de 2022): e0262128. http://dx.doi.org/10.1371/journal.pone.0262128.
Texto completoXie, Nan y Yuexian Hou. "MMIM: An Interpretable Regularization Method for Neural Networks (Student Abstract)". Proceedings of the AAAI Conference on Artificial Intelligence 35, n.º 18 (18 de mayo de 2021): 15933–34. http://dx.doi.org/10.1609/aaai.v35i18.17963.
Texto completoDi Gioacchino, Andrea, Jonah Procyk, Marco Molari, John S. Schreck, Yu Zhou, Yan Liu, Rémi Monasson, Simona Cocco y Petr Šulc. "Generative and interpretable machine learning for aptamer design and analysis of in vitro sequence selection". PLOS Computational Biology 18, n.º 9 (29 de septiembre de 2022): e1010561. http://dx.doi.org/10.1371/journal.pcbi.1010561.
Texto completoFeinauer, Christoph, Barthelemy Meynard-Piganeau y Carlo Lucibello. "Interpretable pairwise distillations for generative protein sequence models". PLOS Computational Biology 18, n.º 6 (23 de junio de 2022): e1010219. http://dx.doi.org/10.1371/journal.pcbi.1010219.
Texto completoZhang, Zizhao, Han Zhang, Long Zhao, Ting Chen, Sercan Ö. Arik y Tomas Pfister. "Nested Hierarchical Transformer: Towards Accurate, Data-Efficient and Interpretable Visual Understanding". Proceedings of the AAAI Conference on Artificial Intelligence 36, n.º 3 (28 de junio de 2022): 3417–25. http://dx.doi.org/10.1609/aaai.v36i3.20252.
Texto completoGao, Xinjian, Tingting Mu, John Yannis Goulermas, Jeyarajan Thiyagalingam y Meng Wang. "An Interpretable Deep Architecture for Similarity Learning Built Upon Hierarchical Concepts". IEEE Transactions on Image Processing 29 (2020): 3911–26. http://dx.doi.org/10.1109/tip.2020.2965275.
Texto completoLiu, Hao, Youchao Sun, Xiaoyu Wang, Honglan Wu y Hao Wang. "NPFormer: Interpretable rotating machinery fault diagnosis architecture design under heavy noise operating scenarios". Mechanical Systems and Signal Processing 223 (enero de 2025): 111878. http://dx.doi.org/10.1016/j.ymssp.2024.111878.
Texto completoSturm, Patrick Obin y Anthony S. Wexler. "Conservation laws in a neural network architecture: enforcing the atom balance of a Julia-based photochemical model (v0.2.0)". Geoscientific Model Development 15, n.º 8 (28 de abril de 2022): 3417–31. http://dx.doi.org/10.5194/gmd-15-3417-2022.
Texto completoJacob, Stefan y Christian Koch. "Unveiling weak auditory evoked potentials using data-driven filtering". Journal of the Acoustical Society of America 154, n.º 4_supplement (1 de octubre de 2023): A141. http://dx.doi.org/10.1121/10.0023054.
Texto completoZhou, Shuhui. "An exploration of KANs and CKANs for more efficient deep learning architecture". Applied and Computational Engineering 83, n.º 1 (27 de septiembre de 2024): 20–25. http://dx.doi.org/10.54254/2755-2721/83/2024glg0060.
Texto completoKoriakina, Nadezhda, Nataša Sladoje, Vladimir Bašić y Joakim Lindblad. "Deep multiple instance learning versus conventional deep single instance learning for interpretable oral cancer detection". PLOS ONE 19, n.º 4 (30 de abril de 2024): e0302169. http://dx.doi.org/10.1371/journal.pone.0302169.
Texto completoDiaz-Gomez, Liliana, Andres E. Gutierrez-Rodriguez, Alejandra Martinez-Maldonado, Jose Luna-Muñoz, Jose A. Cantoral-Ceballos y Miguel A. Ontiveros-Torres. "Interpretable Classification of Tauopathies with a Convolutional Neural Network Pipeline Using Transfer Learning and Validation against Post-Mortem Clinical Cases of Alzheimer’s Disease and Progressive Supranuclear Palsy". Current Issues in Molecular Biology 44, n.º 12 (29 de noviembre de 2022): 5963–85. http://dx.doi.org/10.3390/cimb44120406.
Texto completoWang, Xingyu, Rui Ma, Jinyuan He, Taisi Zhang, Xiajing Wang y Jingfeng Xue. "INNT: Restricting Activation Distance to Enhance Consistency of Visual Interpretation in Neighborhood Noise Training". Electronics 12, n.º 23 (23 de noviembre de 2023): 4751. http://dx.doi.org/10.3390/electronics12234751.
Texto completoZhang, Ting-He, Md Musaddaqul Hasib, Yu-Chiao Chiu, Zhi-Feng Han, Yu-Fang Jin, Mario Flores, Yidong Chen y Yufei Huang. "Transformer for Gene Expression Modeling (T-GEM): An Interpretable Deep Learning Model for Gene Expression-Based Phenotype Predictions". Cancers 14, n.º 19 (29 de septiembre de 2022): 4763. http://dx.doi.org/10.3390/cancers14194763.
Texto completoDe Santi, Lisa Anita, Franco Italo Piparo, Filippo Bargagna, Maria Filomena Santarelli, Simona Celi y Vincenzo Positano. "Part-Prototype Models in Medical Imaging: Applications and Current Challenges". BioMedInformatics 4, n.º 4 (28 de octubre de 2024): 2149–72. http://dx.doi.org/10.3390/biomedinformatics4040115.
Texto completoJiang, Xuejie, Siti Norlizaiha Harun y Linyu Liu. "Explainable Artificial Intelligence for Ancient Architecture and Lacquer Art". Buildings 13, n.º 5 (4 de mayo de 2023): 1213. http://dx.doi.org/10.3390/buildings13051213.
Texto completoCriel, Bjorn, Steff Taelman, Wim Van Criekinge, Michiel Stock y Yves Briers. "PhaLP: A Database for the Study of Phage Lytic Proteins and Their Evolution". Viruses 13, n.º 7 (26 de junio de 2021): 1240. http://dx.doi.org/10.3390/v13071240.
Texto completoTian, Jinkai y Wenjing Yang. "Mapping Data to Concepts: Enhancing Quantum Neural Network Transparency with Concept-Driven Quantum Neural Networks". Entropy 26, n.º 11 (24 de octubre de 2024): 902. http://dx.doi.org/10.3390/e26110902.
Texto completoZhang, Zhiyuan, Zhan Wang y Inwhee Joe. "CAM-NAS: An Efficient and Interpretable Neural Architecture Search Model Based on Class Activation Mapping". Applied Sciences 13, n.º 17 (27 de agosto de 2023): 9686. http://dx.doi.org/10.3390/app13179686.
Texto completoXie, Falian, Haihong Song y Huina Zhang. "Research on Light Comfort of Waiting Hall of High-Speed Railway Station in Cold Region Based on Interpretable Machine Learning". Buildings 13, n.º 4 (21 de abril de 2023): 1105. http://dx.doi.org/10.3390/buildings13041105.
Texto completoWang, Sixuan, Cailong Ma, Wenhu Wang, Xianlong Hou, Xufeng Xiao, Zhenhao Zhang, Xuanchi Liu y JinJing Liao. "Prediction of Failure Modes and Minimum Characteristic Value of Transverse Reinforcement of RC Beams Based on Interpretable Machine Learning". Buildings 13, n.º 2 (9 de febrero de 2023): 469. http://dx.doi.org/10.3390/buildings13020469.
Texto completoLi, Rui. "DBSCAN-based line density clustering algorithm for CAD architectural drawings". Applied and Computational Engineering 19, n.º 1 (23 de octubre de 2023): 109–15. http://dx.doi.org/10.54254/2755-2721/19/20231018.
Texto completoLeung, Eman, Albert Lee, Yilin Liu, Chi-Tim Hung, Ning Fan, Sam C. C. Ching, Hilary Yee et al. "Impact of Environment on Pain among the Working Poor: Making Use of Random Forest-Based Stratification Tool to Study the Socioecology of Pain Interference". International Journal of Environmental Research and Public Health 21, n.º 2 (5 de febrero de 2024): 179. http://dx.doi.org/10.3390/ijerph21020179.
Texto completoR, Jain. "Transparency in AI Decision Making: A Survey of Explainable AI Methods and Applications". Advances in Robotic Technology 2, n.º 1 (19 de enero de 2024): 1–10. http://dx.doi.org/10.23880/art-16000110.
Texto completoZhu, Guangxiang, Jianhao Wang, Zhizhou Ren, Zichuan Lin y Chongjie Zhang. "Object-Oriented Dynamics Learning through Multi-Level Abstraction". Proceedings of the AAAI Conference on Artificial Intelligence 34, n.º 04 (3 de abril de 2020): 6989–98. http://dx.doi.org/10.1609/aaai.v34i04.6183.
Texto completoNair, Rajit. "Unraveling the Decision-making Process Interpretable Deep Learning IDS for Transportation Network Security". Journal of Cybersecurity and Information Management 12, n.º 2 (2023): 69–82. http://dx.doi.org/10.54216/jcim.120205.
Texto completoZhang, Feng, Chenxin Wang, Xingxing Zou, Yang Wei, Dongdong Chen, Qiudong Wang y Libin Wang. "Prediction of the Shear Resistance of Headed Studs Embedded in Precast Steel–Concrete Structures Based on an Interpretable Machine Learning Method". Buildings 13, n.º 2 (11 de febrero de 2023): 496. http://dx.doi.org/10.3390/buildings13020496.
Texto completoZhang, Benyuan, Xin Jin, Wenyu Liang, Xiaoyu Chen, Zhenhong Li, George Panoutsos, Zepeng Liu y Zezhi Tang. "TabNet: Locally Interpretable Estimation and Prediction for Advanced Proton Exchange Membrane Fuel Cell Health Management". Electronics 13, n.º 7 (3 de abril de 2024): 1358. http://dx.doi.org/10.3390/electronics13071358.
Texto completoGim, Mogan, Junseok Choe, Seungheun Baek, Jueon Park, Chaeeun Lee, Minjae Ju, Sumin Lee y Jaewoo Kang. "ArkDTA: attention regularization guided by non-covalent interactions for explainable drug–target binding affinity prediction". Bioinformatics 39, Supplement_1 (1 de junio de 2023): i448—i457. http://dx.doi.org/10.1093/bioinformatics/btad207.
Texto completoMahmoodian, Mojtaba, Farham Shahrivar, Sujeeva Setunge y Sam Mazaheri. "Development of Digital Twin for Intelligent Maintenance of Civil Infrastructure". Sustainability 14, n.º 14 (15 de julio de 2022): 8664. http://dx.doi.org/10.3390/su14148664.
Texto completoChen, Yung-Yao, Yu-Hsiu Lin, Chia-Ching Kung, Ming-Han Chung y I.-Hsuan Yen. "Design and Implementation of Cloud Analytics-Assisted Smart Power Meters Considering Advanced Artificial Intelligence as Edge Analytics in Demand-Side Management for Smart Homes". Sensors 19, n.º 9 (2 de mayo de 2019): 2047. http://dx.doi.org/10.3390/s19092047.
Texto completoBaillargeon, Jean-Thomas, Luc Lamontagne y Etienne Marceau. "Mining Actuarial Risk Predictors in Accident Descriptions Using Recurrent Neural Networks". Risks 9, n.º 1 (29 de diciembre de 2020): 7. http://dx.doi.org/10.3390/risks9010007.
Texto completoPurohit, Kuldeep y A. N. Rajagopalan. "Region-Adaptive Dense Network for Efficient Motion Deblurring". Proceedings of the AAAI Conference on Artificial Intelligence 34, n.º 07 (3 de abril de 2020): 11882–89. http://dx.doi.org/10.1609/aaai.v34i07.6862.
Texto completoSilva, Erica N., Akshat Singhal, Sungjoon Park, Jason Kreisberg y Trey Ideker. "Abstract 636: Prediction of therapeutic response via data-driven maps of tumor cell architecture". Cancer Research 82, n.º 12_Supplement (15 de junio de 2022): 636. http://dx.doi.org/10.1158/1538-7445.am2022-636.
Texto completoZhang, Jingyan y Xiaoyu Zheng. "Exploring the implementation and applications of 7-segment clocks on FPGA". Theoretical and Natural Science 26, n.º 1 (20 de diciembre de 2023): 37–43. http://dx.doi.org/10.54254/2753-8818/26/20241009.
Texto completoPolcin, Douglas. "How should we study residential recovery homes?" Therapeutic Communities: The International Journal of Therapeutic Communities 36, n.º 3 (14 de septiembre de 2015): 163–72. http://dx.doi.org/10.1108/tc-07-2014-0027.
Texto completoCui, Min, Yang Liu, Yanbo Wang y Pan Wang. "Identifying the Acoustic Source via MFF-ResNet with Low Sample Complexity". Electronics 11, n.º 21 (1 de noviembre de 2022): 3578. http://dx.doi.org/10.3390/electronics11213578.
Texto completoKesici, Neslişah y Nilgün Çolpan Erkan. "THE EFFECT OF PUBLIC FACADE CHARACTERISTICS ON CHANGING PEDESTRIAN BEHAVIORS". JOURNAL OF ARCHITECTURE AND URBANISM 47, n.º 1 (15 de mayo de 2023): 68–76. http://dx.doi.org/10.3846/jau.2023.17688.
Texto completoChan, Albert P. C., Yang Yang, Francis K. W. Wong, Daniel W. M. Chan y Edmond W. M. Lam. "Wearing comfort of two construction work uniforms". Construction Innovation 15, n.º 4 (5 de octubre de 2015): 473–92. http://dx.doi.org/10.1108/ci-06-2015-0037.
Texto completoBai, Yidong y Toshiharu Sugawara. "Enhancing Multi-Agent Cooperation Through Action-Probability-Based Communication". Journal of Robotics and Mechatronics 36, n.º 3 (20 de junio de 2024): 658–68. http://dx.doi.org/10.20965/jrm.2024.p0658.
Texto completoTorres Silva, Ever Augusto, Sebastian Uribe, Jack Smith, Ivan Felipe Luna Gomez y Jose Fernando Florez-Arango. "XML Data and Knowledge-Encoding Structure for a Web-Based and Mobile Antenatal Clinical Decision Support System: Development Study". JMIR Formative Research 4, n.º 10 (16 de octubre de 2020): e17512. http://dx.doi.org/10.2196/17512.
Texto completoGarcon, Antoine, Julian Vexler, Dmitry Budker y Stefan Kramer. "Deep neural networks to recover unknown physical parameters from oscillating time series". PLOS ONE 17, n.º 5 (13 de mayo de 2022): e0268439. http://dx.doi.org/10.1371/journal.pone.0268439.
Texto completoScherrer, Simon, Markus Legner, Adrian Perrig y Stefan Schmid. "An Axiomatic Perspective on the Performance Effects of End-Host Path Selection". ACM SIGMETRICS Performance Evaluation Review 49, n.º 3 (22 de marzo de 2022): 16–17. http://dx.doi.org/10.1145/3529113.3529118.
Texto completoAbdel-Jaber, Fayez y Kim N. Dirks. "A Review of Cooling and Heating Loads Predictions of Residential Buildings Using Data-Driven Techniques". Buildings 14, n.º 3 (11 de marzo de 2024): 752. http://dx.doi.org/10.3390/buildings14030752.
Texto completoXiao, Jingyu, Qingsong Zou, Qing Li, Dan Zhao, Kang Li, Zixuan Weng, Ruoyu Li y Yong Jiang. "I Know Your Intent". Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 7, n.º 3 (27 de septiembre de 2023): 1–28. http://dx.doi.org/10.1145/3610906.
Texto completoElahe, Md Fazla, Md Alamgir Kabir, S. M. Hasan Mahmud y Riasat Azim. "Factors Impacting Short-Term Load Forecasting of Charging Station to Electric Vehicle". Electronics 12, n.º 1 (23 de diciembre de 2022): 55. http://dx.doi.org/10.3390/electronics12010055.
Texto completoManicka, Santosh y Michael Levin. "Minimal Developmental Computation: A Causal Network Approach to Understand Morphogenetic Pattern Formation". Entropy 24, n.º 1 (10 de enero de 2022): 107. http://dx.doi.org/10.3390/e24010107.
Texto completoKumar Singh, Siddhanta y Ajay Kumar Singh. "Vehicular impact analysis of driving for accidents using on board diagnostic II". Bulletin of Electrical Engineering and Informatics 11, n.º 5 (1 de octubre de 2022): 2696–704. http://dx.doi.org/10.11591/eei.v11i5.3864.
Texto completoMoujabbir, Mohammed, Khalid Bahani, Mohammed Ramdani y Hamza Ali-Ou-Salah. "Wind power forecasting model based on linguistic fuzzy rules". Bulletin of Electrical Engineering and Informatics 12, n.º 4 (1 de agosto de 2023): 2372–80. http://dx.doi.org/10.11591/beei.v12i4.4733.
Texto completoMoujabbir, Mohammed, Khalid Bahani, Mohammed Ramdani y Hamza Ali-Ou-Salah. "Wind power forecasting model based on linguistic fuzzy rules". Bulletin of Electrical Engineering and Informatics 12, n.º 4 (1 de agosto de 2023): 2372–80. http://dx.doi.org/10.11591/eei.v12i4.4733.
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