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Publication search results
found 662 matches
- 2024
- Sanaa Kaddoura, Reem Nassar:
EnhancedBERT: A feature-rich ensemble model for Arabic word sense disambiguation with statistical analysis and optimized data collection. J. King Saud Univ. Comput. Inf. Sci. 36(1): 101911 (2024) - 2023
- Taisho Sasada, Yuzo Taenaka, Youki Kadobayashi:
Oblivious Statistic Collection With Local Differential Privacy in Mutual Distrust. IEEE Access 11: 21374-21386 (2023) - Hui Zhu, Xiaohu Tang, Laurence Tianruo Yang, Chao Fu, Shuangrong Peng:
Key-value data collection and statistical analysis with local differential privacy. Inf. Sci. 640: 119058 (2023) - Andy Newing, Owen Hibbert, Jacob Van-Alwon, Stuart Ellaway, Alan Smith:
Smart water metering as a non-invasive tool to infer dwelling type and occupancy - Implications for the collection of neighbourhood-level housing and tourism statistics. Comput. Environ. Urban Syst. 105: 102028 (2023) - Florian Dumpert, Elena Schmidt:
Hyperparameter Tuning in German Official Statistics. Hyperparameter Tuning for Machine and Deep Learning with R 2023: 177-185 - R. Noah Padilla, Vladik Kreinovich:
Why Moments (and Generalized Moments) Are Used in Statistics and Why Expected Utility Is Used in Decision Making: A Possible Explanation. Decision Making Under Uncertainty and Constraints 2023: 181-187 - Tien N. Nguyen:
Statistical Models and Machine Learning to Advance Code Completion: Are We There Yet? Optimising the Software Development Process with Artificial Intelligence 2023: 121-153 - 2022
- Binghao Yan, Qinrang Liu, JianLiang Shen, Dong Liang, Xingyu Liu:
Cost-effective and accurate flow statistics collection in OpenFlow-based SDN. Int. J. Netw. Manag. 32(4) (2022) - Taisho Sasada, Yuzo Taenaka, Youki Kadobayashi:
Decoupling Statistical Trends from Data Volume on LDP-Based Spatio-Temporal Data Collection. FNWF 2022: 262-269 - Sonal Mishra, Procheta Sen, Debasis Ganguly, Prasenjit Majumder:
Relevance Model Augmented with Inter-Collection Co-occurrence Statistics for Ad-hoc Retrieval in Precision Medicine. CIRCLE 2022 - Elias Bareinboim, Jin Tian, Judea Pearl:
Recovering from Selection Bias in Causal and Statistical Inference. Probabilistic and Causal Inference 2022: 433-450 - Sander Greenland:
The Causal Foundations of Applied Probability and Statistics. Probabilistic and Causal Inference 2022: 605-624 - An Interview with Ron Wassertein on How The Book of Why Transforms Statistics. Probabilistic and Causal Inference 2022: 43-48
- 2021
- Sandhya Rathee, Nitin Varyani, K. Haribabu, Aakash Bajaj, Ashutosh Bhatia, Ram Jashnani, Zhi-Li Zhang:
GlobeSnap: An Efficient Globally Consistent Statistics Collection for Software-Defined Networks. J. Netw. Syst. Manag. 29(3): 35 (2021) - Xuwei Yang, Hongli Xu, Xiwen Yu, Chen Qian, Gongming Zhao, He Huang:
Cooperative Flow Statistics Collection With Per-Switch Cost Constraint in SDNs. IEEE Trans. Commun. 69(8): 5325-5336 (2021) - Lei Huang:
A Large-Scale Collection Reselection Method Oriented by Library Space Rebuilding Based on the Statistics of Zero-Borrowing Books. ICADL 2021: 115-123 - Ahmed Sabbir Arif:
Statistical Grounding. Intelligent Computing for Interactive System Design 2021: 59-99 - David McMenemy:
Ethics and Statistics. Intelligent Computing for Interactive System Design 2021: 101-103 - Fabrizio Altarelli, Rémi Monasson, Guilhem Semerjian, Francesco Zamponi:
Connections to Statistical Physics. Handbook of Satisfiability 2021: 859-901 - 2020
- Kokouvi Bénoît Nougnanke, Marc Bruyere, Yann Labit:
Low-Overhead Near-Real-Time Flow Statistics Collection in SDN. NetSoft 2020: 155-159 - Ilias Diakonikolas, Daniel M. Kane:
Robust High-Dimensional Statistics. Beyond the Worst-Case Analysis of Algorithms 2020: 382-402 - Ekaterina Aleksandrova, Christos Anagnostopoulos:
Optimised Statistical Model Updates in Distributed Intelligence Environments. Convergence of Artificial Intelligence and the Internet of Things 2020: 33-58 - 2019
- Umberto Ferraro Petrillo, Mara Sorella, Giuseppe Cattaneo, Raffaele Giancarlo, Simona E. Rombo:
Analyzing big datasets of genomic sequences: fast and scalable collection of k-mer statistics. BMC Bioinform. 20-S(4): 138:1-138:14 (2019) - Muhiddin Uguz, Ali Doganaksoy, Fatih Sulak, Onur Koçak:
R-2 composition tests: a family of statistical randomness tests for a collection of binary sequences. Cryptogr. Commun. 11(5): 921-949 (2019) - Fatih Sulak, Ali Doganaksoy, Muhiddin Uguz, Onur Koçak:
Periodic template tests: A family of statistical randomness tests for a collection of binary sequences. Discret. Appl. Math. 271: 191-204 (2019) - Xi Han, Min Song, Chunqiu Li, Qinghua Zhu:
Can in-house use data of print collections shed new light on library practices? Statistical evidence from a five-year longitudinal study in China. J. Libr. Inf. Sci. 51(4) (2019) - Sandhya Rathee, Rahul Sharma, Piyush Kumar Jain, K. Haribabu, Ashutosh Bhatia, Sundar Balasubramaniam:
OpenSnap: Collection of Globally Consistent Statistics in Software Defined Networks. COMSNETS 2019: 149-156 - Mingyan Li, Cailian Chen, Cunqing Hua, Xinping Guan:
CFlow: A Learning-Based Compressive Flow Statistics Collection Scheme for SDNs. ICC 2019: 1-6 - Jie Zhang, Song Guo, Deze Zeng, Zhihao Qu:
Multi-Path Routing Oriented Flow Statistics Collection in Software Defined Networks. ICPADS 2019: 101-108 - Marcel Dettling, Andreas Ruckstuhl:
Statistical Modelling. Applied Data Science 2019: 181-203
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