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- International Conference on Advanced Information Systems Engineering (CAiSE)
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Publication search results
found 8,817 matches
- 2024
- Ayush Kumar Mandwal:
Modeling and data analysis of emergent properties in different biological systems. University of Calgary, Alberta, Canada, 2024 - Chao Deng, Xuexia Liang, Xu Yan, Yuhua Mo, Sen Bai, Bin Lu, Kaidi Chen, Xipeng Liu, Zhi Chen:
Joint Urban Modeling With Graph Convolutional Networks and Crowdsourced Data: A Novel Approach. IEEE Access 12: 57796-57805 (2024) - Eiman ElGhanam, Ayman Alzaatreh, Mohamed S. Hassan, Ahmed H. Osman:
A Data-Driven Approach for EV Electricity Demand Modeling Using Spatial Regression: A UAE Case Study. IEEE Access 12: 57302-57314 (2024) - Nischal Guruwacharya, Soham Chakraborty, Govind Saraswat, Richard A. Bryce, Timothy M. Hansen, Reinaldo Tonkoski:
Data-Driven Modeling of Grid-Forming Inverter Dynamics Using Power Hardware-in-the-Loop Experimentation. IEEE Access 12: 52267-52281 (2024) - Jacques M. Maritz, Leonardo Rydin Gorjão, P. Armand Bester, Nicolaas Esterhuysen, Stefaans Erasmus, Stephanus Riekert, Reuben Immelman, Tiaan Geldenhuys, Alexandra Viljoen, Charl Bodenstein:
Data-Driven Modeling of Frequency Dynamics Observed in Operating Microgrids: A South African University Campus Case Study. IEEE Access 12: 14466-14473 (2024) - Nelson J. Trujillo-Barreto, David Araya Galvez, Aland Astudillo, Wael El-Deredy:
Explicit Modeling of Brain State Duration Using Hidden Semi Markov Models in EEG Data. IEEE Access 12: 12335-12355 (2024) - Zhijia Yang, Byron Mason, Edward Winward, Mark Cary:
Two-Dimensional Transient Cycle Decomposition and Reduction (CDR) for Data Driven Nonlinear Dynamic System Modeling. IEEE Access 12: 37093-37102 (2024) - Tin Lok James Ng, Andrew Zammit-Mangion:
Mixture modeling with normalizing flows for spherical density estimation. Adv. Data Anal. Classif. 18(1): 103-120 (2024) - Xuwen Zhu, Yana Melnykov, Angelina S. Kolomoytseva:
Contamination transformation matrix mixture modeling for skewed data groups with heavy tails and scatter. Adv. Data Anal. Classif. 18(1): 85-101 (2024) - Ion Victor Gosea, Serkan Gugercin, Steffen W. R. Werner:
Structured barycentric forms for interpolation-based data-driven reduced modeling of second-order systems. Adv. Comput. Math. 50(2): 26 (2024) - Xieling Chen, Haoran Xie, Xiaohui Tao, Fu Lee Wang, Mingming Leng, Baiying Lei:
Artificial intelligence and multimodal data fusion for smart healthcare: topic modeling and bibliometrics. Artif. Intell. Rev. 57(4): 91 (2024) - Ying-Chun Bo, Jun Wang:
A feature-recombinant asynchronous deep reservoir computing for modeling time series data. Appl. Soft Comput. 151: 111167 (2024) - Vladica S. Stojanovic, Hassan S. Bakouch, Zorica Gajtanovic, Fatimah E. Almuhayfith, Kristijan Kuk:
Integer-Valued Split-BREAK Process with a General Family of Innovations and Application to Accident Count Data Modeling. Axioms 13(1): 40 (2024) - Rubén Salado-Cid, Antonio Vallecillo, Kamram Munir, José Raúl Romero:
SWEL: A Domain-Specific Language for Modeling Data-Intensive Workflows. Bus. Inf. Syst. Eng. 66(2): 137-160 (2024) - Junjie Shen, Shuo Wang, Yongfei Dong, Hao Sun, Xichao Wang, Zaixiang Tang:
A non-negative spike-and-slab lasso generalized linear stacking prediction modeling method for high-dimensional omics data. BMC Bioinform. 25(1): 119 (2024) - Xu Zhang, Ya Su, Andrew N. Lane, Arnold J. Stromberg, Teresa W.-M. Fan, Chi Wang:
Correction: Bayesian kinetic modeling for tracer-based metabolomic data. BMC Bioinform. 25(1): 14 (2024) - Bernardo P. Brener, Matheus A. Cruz, Matheus S. S. Macedo, Roney L. Thompson:
A highly accurate strategy for data-driven turbulence modeling. Comput. Appl. Math. 43(1): 59 (2024) - Jagannadha Avasarala, Saurav Das:
Inclusion of race-neutral data as fundamental to preventing misguided AI modeling. Comput. Biol. Medicine 168: 107859 (2024) - Alireza Rafiei, Milad Ghiasi Rad, Andrea Sikora, Rishikesan Kamaleswaran:
Improving mixed-integer temporal modeling by generating synthetic data using conditional generative adversarial networks: A case study of fluid overload prediction in the intensive care unit. Comput. Biol. Medicine 168: 107749 (2024) - LaGrande Gunnell, Bethany Nicholson, John D. Hedengren:
Equation-based and data-driven modeling: Open-source software current state and future directions. Comput. Chem. Eng. 181: 108521 (2024) - Mi Yang, Ruisi He, Bo Ai, Chen Huang, Chenlong Wang, Yuxin Zhang, Zhangdui Zhong:
AI-Enabled Data-Driven Channel Modeling for Future Communications. IEEE Commun. Mag. 62(4): 112-118 (2024) - Gregory G. Knapik, Ehud Mendel, Eric Bourekas, William S. Marras:
A digital spine geometry database to inform computational modeling. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 12(1) (2024) - Matthew J. Heaton, Benjamin K. Dahl, Caleb Dayley, Richard L. Warr, Philip White:
Integrating machine learning and Bayesian nonparametrics for flexible modeling of point pattern data. Comput. Stat. Data Anal. 191: 107875 (2024) - Yunzhe Li, Juhee Lee, Athanasios Kottas:
Bayesian nonparametric Erlang mixture modeling for survival analysis. Comput. Stat. Data Anal. 191: 107874 (2024) - Cuihong Zhang, Jing Ning, Jianwen Cai, James E. Squires, Steven H. Belle, Ruosha Li:
Dynamic risk score modeling for multiple longitudinal risk factors and survival. Comput. Stat. Data Anal. 189: 107837 (2024) - Anayo Chukwu Ikegwu, Henry Friday Nweke, Emmanuel O. C. Mkpojiogu, Chioma Virginia Anikwe, Sylvester Agbo Igwe, Uzoma Rita Alo:
Recently emerging trends in big data analytic methods for modeling and combating climate change effects. Energy Inform. 7(1): 6 (2024) - Francesco Carli, Pietro Foini, Nicolò Gozzi, Nicola Perra, Rossano Schifanella:
Modeling teams performance using deep representational learning on graphs. EPJ Data Sci. 13(1): 7 (2024) - Bilal Lefoula, Aziz Hebal, Djamel Bengora:
Performance of machine learning methods for modeling reservoir management based on irregular daily data sets: a case study of Zit Emba dam. Earth Sci. Informatics 17(1): 145-161 (2024) - Min Choi, Hye Jin Lee, Soh Hyung Park, Sung Whan Jeon, Sungzoon Cho:
Stock price momentum modeling using social media data. Expert Syst. Appl. 237(Part C): 121589 (2024) - Liang Ma, Mengwei Wang, Kaixiang Peng:
A missing manufacturing process data imputation framework for nonlinear dynamic soft sensor modeling and its application. Expert Syst. Appl. 237(Part A): 121428 (2024)
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