Статті в журналах з теми "Bootstrapping neural networks"
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Franke, Jürgen, and Michael H. Neumann. "Bootstrapping Neural Networks." Neural Computation 12, no. 8 (August 1, 2000): 1929–49. http://dx.doi.org/10.1162/089976600300015204.
Повний текст джерелаLi, Xiangsheng, Yanghui Rao, Haoran Xie, Raymond Yiu Keung Lau, Jian Yin, and Fu Lee Wang. "Bootstrapping Social Emotion Classification with Semantically Rich Hybrid Neural Networks." IEEE Transactions on Affective Computing 8, no. 4 (October 1, 2017): 428–42. http://dx.doi.org/10.1109/taffc.2017.2716930.
Повний текст джерелаMistry, Sajib, Lie Qu, and Athman Bouguettaya. "Layer-based Composite Reputation Bootstrapping." ACM Transactions on Internet Technology 22, no. 1 (February 28, 2022): 1–28. http://dx.doi.org/10.1145/3448610.
Повний текст джерелаÁlvarez-Aparicio, Claudia, Ángel Manuel Guerrero-Higueras, Luis V. Calderita, Francisco J. Rodríguez-Lera, Vicente Matellán, and Camino Fernández-Llamas. "Convolutional Neural Networks Refitting by Bootstrapping for Tracking People in a Mobile Robot." Applied Sciences 11, no. 21 (October 27, 2021): 10043. http://dx.doi.org/10.3390/app112110043.
Повний текст джерелаYan, Yilin, Min Chen, Saad Sadiq, and Mei-Ling Shyu. "Efficient Imbalanced Multimedia Concept Retrieval by Deep Learning on Spark Clusters." International Journal of Multimedia Data Engineering and Management 8, no. 1 (January 2017): 1–20. http://dx.doi.org/10.4018/ijmdem.2017010101.
Повний текст джерелаBarth, R., J. IJsselmuiden, J. Hemming, and E. J. Van Henten. "Synthetic bootstrapping of convolutional neural networks for semantic plant part segmentation." Computers and Electronics in Agriculture 161 (June 2019): 291–304. http://dx.doi.org/10.1016/j.compag.2017.11.040.
Повний текст джерелаHsiao, Hsiao-Fen, Jiang-Chuan Huang, and Zheng-Wei Lin. "Portfolio construction using bootstrapping neural networks: evidence from global stock market." Review of Derivatives Research 23, no. 3 (July 25, 2019): 227–47. http://dx.doi.org/10.1007/s11147-019-09163-y.
Повний текст джерелаRichman, Ronald, and Mario V. Wüthrich. "Nagging Predictors." Risks 8, no. 3 (August 4, 2020): 83. http://dx.doi.org/10.3390/risks8030083.
Повний текст джерелаKUAN, MEI MING, CHEE PENG LIM, and ROBERT F. HARRISON. "ON OPERATING STRATEGIES OF THE FUZZY ARTMAP NEURAL NETWORK: A COMPARATIVE STUDY." International Journal of Computational Intelligence and Applications 03, no. 01 (March 2003): 23–43. http://dx.doi.org/10.1142/s1469026803000847.
Повний текст джерелаMedina, Oded, Roi Yozevitch, and Nir Shvalb. "Synthetic Sensor Array Training Sets for Neural Networks." Journal of Sensors 2019 (September 10, 2019): 1–10. http://dx.doi.org/10.1155/2019/9254315.
Повний текст джерелаSchnürch, Simon, and Ralf Korn. "POINT AND INTERVAL FORECASTS OF DEATH RATES USING NEURAL NETWORKS." ASTIN Bulletin 52, no. 1 (December 3, 2021): 333–60. http://dx.doi.org/10.1017/asb.2021.34.
Повний текст джерелаKrč, Rostislav, Jan Podroužek, Martina Kratochvílová, Ivan Vukušič, and Otto Plášek. "Neural Network-Based Train Identification in Railway Switches and Crossings Using Accelerometer Data." Journal of Advanced Transportation 2020 (November 24, 2020): 1–10. http://dx.doi.org/10.1155/2020/8841810.
Повний текст джерелаLa Rocca, Michele, and Cira Perna. "Opening the Black Box: Bootstrapping Sensitivity Measures in Neural Networks for Interpretable Machine Learning." Stats 5, no. 2 (April 25, 2022): 440–57. http://dx.doi.org/10.3390/stats5020026.
Повний текст джерелаLa Rocca, Michele, and Cira Perna. "Opening the Black Box: Bootstrapping Sensitivity Measures in Neural Networks for Interpretable Machine Learning." Stats 5, no. 2 (April 25, 2022): 440–57. http://dx.doi.org/10.3390/stats5020026.
Повний текст джерелаPOEL, MANNES, and TACO EKKEL. "ANALYZING INFANT CRIES USING A COMMITTEE OF NEURAL NETWORKS IN ORDER TO DETECT HYPOXIA RELATED DISORDER." International Journal on Artificial Intelligence Tools 15, no. 03 (June 2006): 397–410. http://dx.doi.org/10.1142/s0218213006002734.
Повний текст джерелаAvola, Danilo, Marco Bernardi, Luigi Cinque, Cristiano Massaroni, and Gian Luca Foresti. "Fusing Self-Organized Neural Network and Keypoint Clustering for Localized Real-Time Background Subtraction." International Journal of Neural Systems 30, no. 04 (March 2, 2020): 2050016. http://dx.doi.org/10.1142/s0129065720500161.
Повний текст джерелаLian, Cheng, Lingzi Zhu, Zhigang Zeng, Yixin Su, Wei Yao, and Huiming Tang. "Constructing prediction intervals for landslide displacement using bootstrapping random vector functional link networks selective ensemble with neural networks switched." Neurocomputing 291 (May 2018): 1–10. http://dx.doi.org/10.1016/j.neucom.2018.02.046.
Повний текст джерелаde Diego, José A., Jakub Nadolny, Ángel Bongiovanni, Jordi Cepa, Mirjana Pović, Ana María Pérez García, Carmen P. Padilla Torres, et al. "Galaxy classification: deep learning on the OTELO and COSMOS databases." Astronomy & Astrophysics 638 (June 2020): A134. http://dx.doi.org/10.1051/0004-6361/202037697.
Повний текст джерелаKearney-Ramos, Tonisha E., Jennifer S. Fausett, Jennifer L. Gess, Ashley Reno, Jennifer Peraza, Clint D. Kilts, and G. Andrew James. "Merging Clinical Neuropsychology and Functional Neuroimaging to Evaluate the Construct Validity and Neural Network Engagement of the n-Back Task." Journal of the International Neuropsychological Society 20, no. 7 (June 25, 2014): 736–50. http://dx.doi.org/10.1017/s135561771400054x.
Повний текст джерелаKrč, Rostislav, Martina Kratochvílová, Jan Podroužek, Tomáš Apeltauer, Václav Stupka, and Tomáš Pitner. "Machine Learning-Based Node Characterization for Smart Grid Demand Response Flexibility Assessment." Sustainability 13, no. 5 (March 9, 2021): 2954. http://dx.doi.org/10.3390/su13052954.
Повний текст джерелаGao, Tianyu, Xu Han, Ruobing Xie, Zhiyuan Liu, Fen Lin, Leyu Lin, and Maosong Sun. "Neural Snowball for Few-Shot Relation Learning." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 05 (April 3, 2020): 7772–79. http://dx.doi.org/10.1609/aaai.v34i05.6281.
Повний текст джерелаHamzeh, S., M. Hajeb, S. K. Alavipanah, and J. Verrelst. "RETRIEVAL OF SUGARCANE LEAF AREA INDEX FROM PRISMA HYPERSPECTRAL DATA." ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences X-4/W1-2022 (January 13, 2023): 271–77. http://dx.doi.org/10.5194/isprs-annals-x-4-w1-2022-271-2023.
Повний текст джерелаLiu, Long. "Sports Video Motion Direction Detection and Target Tracking Algorithm Based on Convolutional Neural Network." Wireless Communications and Mobile Computing 2022 (July 11, 2022): 1–10. http://dx.doi.org/10.1155/2022/5760758.
Повний текст джерелаJohnson, Neil, Sameer Prasad, Amin Vahedian, Nezih Altay, and Ashish Jain. "Modelling ragpickers’ productivity at the bottom of the pyramid: the use of artificial neural networks (ANNs)." International Journal of Operations & Production Management 42, no. 4 (March 8, 2022): 552–76. http://dx.doi.org/10.1108/ijopm-01-2021-0031.
Повний текст джерелаAhmad, Wan Muhamad Amir W., Faraz Ahmed, Nor Farid Mohd Noor, Nor Azlida Aleng, Farah Muna Mohamad Ghazali, and Mohammad Khursheed Alam. "Prediction and Elucidation of Triglycerides Levels Using a Machine Learning and Linear Fuzzy Modelling Approach." BioMed Research International 2022 (February 24, 2022): 1–7. http://dx.doi.org/10.1155/2022/7511806.
Повний текст джерелаOvcharenko, Evgeny, Anton Kutikhin, Olga Gruzdeva, Anastasia Kuzmina, Tamara Slesareva, Elena Brusina, Svetlana Kudasheva, et al. "Cardiovascular and Renal Comorbidities Included into Neural Networks Predict the Outcome in COVID-19 Patients Admitted to an Intensive Care Unit: Three-Center, Cross-Validation, Age- and Sex-Matched Study." Journal of Cardiovascular Development and Disease 10, no. 2 (January 23, 2023): 39. http://dx.doi.org/10.3390/jcdd10020039.
Повний текст джерелаBischl, B., O. Mersmann, H. Trautmann, and C. Weihs. "Resampling Methods for Meta-Model Validation with Recommendations for Evolutionary Computation." Evolutionary Computation 20, no. 2 (June 2012): 249–75. http://dx.doi.org/10.1162/evco_a_00069.
Повний текст джерелаJayachandran, A., and B. AnuSheeba. "Hybrid Melanoma Classification System Using Multi-Layer Fuzzy C-Means Clustering and Deep Convolutional Neural Network." Journal of Medical Imaging and Health Informatics 11, no. 11 (November 1, 2021): 2709–15. http://dx.doi.org/10.1166/jmihi.2021.3873.
Повний текст джерелаWanke, Peter, Carlos Barros, and Md Abul Kalam Azad. "Measuring efficiency drivers and productive slacks in UK auditing firms." Benchmarking: An International Journal 24, no. 3 (April 3, 2017): 806–23. http://dx.doi.org/10.1108/bij-07-2016-0102.
Повний текст джерелаAscencio-Cabral, Azucena, and Constantino Carlos Reyes-Aldasoro. "Comparison of Convolutional Neural Networks and Transformers for the Classification of Images of COVID-19, Pneumonia and Healthy Individuals as Observed with Computed Tomography." Journal of Imaging 8, no. 9 (September 1, 2022): 237. http://dx.doi.org/10.3390/jimaging8090237.
Повний текст джерелаSebastian, C., B. Boom, T. van Lankveld, E. Bondarev, and P. H. N. De With. "BOOTSTRAPPED CNNS FOR BUILDING SEGMENTATION ON RGB-D AERIAL IMAGERY." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences IV-4 (September 19, 2018): 187–92. http://dx.doi.org/10.5194/isprs-annals-iv-4-187-2018.
Повний текст джерелаKleinert, Felix, Lukas H. Leufen, and Martin G. Schultz. "IntelliO3-ts v1.0: a neural network approach to predict near-surface ozone concentrations in Germany." Geoscientific Model Development 14, no. 1 (January 4, 2021): 1–25. http://dx.doi.org/10.5194/gmd-14-1-2021.
Повний текст джерелаBachtiar, Luqman R., Charles P. Unsworth, Richard D. Newcomb, and Edmund J. Crampin. "Multilayer Perceptron Classification of Unknown Volatile Chemicals from the Firing Rates of Insect Olfactory Sensory Neurons and Its Application to Biosensor Design." Neural Computation 25, no. 1 (January 2013): 259–87. http://dx.doi.org/10.1162/neco_a_00386.
Повний текст джерелаOehler, F., J. C. Rutherford, and G. Coco. "The use of machine learning algorithms to design a generalized simplified denitrification model." Biogeosciences 7, no. 10 (October 27, 2010): 3311–32. http://dx.doi.org/10.5194/bg-7-3311-2010.
Повний текст джерелаCAILLAULT, EMILIE, and CHRISTIAN VIARD-GAUDIN. "MIXED DISCRIMINANT TRAINING OF HYBRID ANN/HMM SYSTEMS FOR ONLINE HANDWRITTEN WORD RECOGNITION." International Journal of Pattern Recognition and Artificial Intelligence 21, no. 01 (February 2007): 117–34. http://dx.doi.org/10.1142/s0218001407005338.
Повний текст джерелаBaghdadi, Nadiah A., Shatha Khalid Alsayed, Ghalia Amer Malki, Hossam Magdy Balaha, and Sally Mohammed Farghaly Abdelaliem. "An Analysis of Burnout among Female Nurse Educators in Saudi Arabia Using K-Means Clustering." European Journal of Investigation in Health, Psychology and Education 13, no. 1 (December 30, 2022): 33–53. http://dx.doi.org/10.3390/ejihpe13010003.
Повний текст джерелаvan der Ploeg, Tjeerd, and Robbert Gobbens. "A Comparison of Different Modeling Techniques in Predicting Mortality With the Tilburg Frailty Indicator: Longitudinal Study." JMIR Medical Informatics 10, no. 3 (March 30, 2022): e31480. http://dx.doi.org/10.2196/31480.
Повний текст джерелаAbbasi, Reyhaneh, Peter Balazs, Maria Adelaide Marconi, Doris Nicolakis, Sarah M. Zala, and Dustin J. Penn. "Capturing the songs of mice with an improved detection and classification method for ultrasonic vocalizations (BootSnap)." PLOS Computational Biology 18, no. 5 (May 12, 2022): e1010049. http://dx.doi.org/10.1371/journal.pcbi.1010049.
Повний текст джерелаTsujitani, Masaaki, Katsuhiro Iba, and Yusuke Tanaka. "Neural Discriminant Models, Bootstrapping, and Simulation." ISRN Artificial Intelligence 2012 (March 13, 2012): 1–12. http://dx.doi.org/10.5402/2012/820364.
Повний текст джерелаTalib, Rand, Nassif Nabil, and Wonchang Choi. "Optimization-Based Data-Enabled Modeling Technique for HVAC Systems Components." Buildings 10, no. 9 (September 13, 2020): 163. http://dx.doi.org/10.3390/buildings10090163.
Повний текст джерелаMehltretter, Joseph, Robert Fratila, David Benrimoh, Adam Kapelner, Kelly Perlman, Emily Snook, Sonia Israel, Caitrin Armstrong, Marc Miresco, and Gustavo Turecki. "Differential Treatment Benefit Prediction for Treatment Selection in Depression: A Deep Learning Analysis of STAR*D and CO-MED Data." Computational Psychiatry 4 (December 2020): 61–75. http://dx.doi.org/10.1162/cpsy_a_00029.
Повний текст джерелаCaza, Gregory A., and Alistair Knott. "Pragmatic Bootstrapping: A Neural Network Model of Vocabulary Acquisition." Language Learning and Development 8, no. 2 (April 2012): 113–35. http://dx.doi.org/10.1080/15475441.2011.581144.
Повний текст джерелаYan, Lingyong, Xianpei Han, Ben He, and Le Sun. "End-to-End Bootstrapping Neural Network for Entity Set Expansion." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 05 (April 3, 2020): 9402–9. http://dx.doi.org/10.1609/aaai.v34i05.6482.
Повний текст джерелаWu, Quanwang, Qingsheng Zhu, and Peng Li. "A neural network based reputation bootstrapping approach for service selection." Enterprise Information Systems 9, no. 7 (October 15, 2013): 768–84. http://dx.doi.org/10.1080/17517575.2013.845913.
Повний текст джерелаRettenberger, Luca, Marcel Schilling, and Markus Reischl. "Annotation Efforts in Image Segmentation can be Reduced by Neural Network Bootstrapping." Current Directions in Biomedical Engineering 8, no. 2 (August 1, 2022): 329–32. http://dx.doi.org/10.1515/cdbme-2022-1084.
Повний текст джерелаSoundiran, Revathi, T. K. Radhakrishnan, and Sivakumaran Natarajan. "Modeling of greenhouse agro-ecosystem using optimally designed bootstrapping artificial neural network." Neural Computing and Applications 31, no. 11 (July 7, 2018): 7821–36. http://dx.doi.org/10.1007/s00521-018-3598-7.
Повний текст джерелаFerber, Patrick, Florian Geißer, Felipe Trevizan, Malte Helmert, and Jörg Hoffmann. "Neural Network Heuristic Functions for Classical Planning: Bootstrapping and Comparison to Other Methods." Proceedings of the International Conference on Automated Planning and Scheduling 32 (June 13, 2022): 583–87. http://dx.doi.org/10.1609/icaps.v32i1.19845.
Повний текст джерелаWang, Yan, Liqin Tian, and Zhenguo Chen. "A Reputation Bootstrapping Model for E-Commerce Based on Fuzzy DEMATEL Method and Neural Network." IEEE Access 7 (2019): 52266–76. http://dx.doi.org/10.1109/access.2019.2912191.
Повний текст джерелаUma Maheswari, A., and N. Revathy. "Comprehensive Review on Effectual Information Retrieval of Semantic Drift using Deep Neural Network." Asian Journal of Computer Science and Technology 8, no. 1 (February 5, 2019): 32–35. http://dx.doi.org/10.51983/ajcst-2019.8.1.2122.
Повний текст джерелаDesiani, Anita, Azhar Kholiq Affandi, Shania Putri Andhini, Sugandi Yahdin, Yuli Andirani, and Muhammad Arhami. "Implementation of Sample Sample Bootstrapping for Resampling Pap Smear Single Cell Dataset." Lontar Komputer : Jurnal Ilmiah Teknologi Informasi 13, no. 2 (August 10, 2022): 72. http://dx.doi.org/10.24843/lkjiti.2022.v13.i02.p01.
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