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Publication search results
found 15,174 matches
- 2024
- Tri Astaria, Yoppy Wahyu Purnomo, Fery Muhamad Firdaus:
Handbook of Statistical Methods for Randomized Controlled Trials, 1st ed.Edited by KyungMann Kim, Frank Bretz, Ying Kuen K. Cheung, Lisa V. Hampson, New York: Chapman & Hall, 2023, 654 pp., £47.99 (paperback), ISBN 9781032009100 Handbook of Statistical Methods for Randomized Controlled Trials, 1st ed. Edited by KyungMann Kim, Frank Bretz, Ying Kuen K. Cheung, Lisa V. Hampson, New York: Chapman & Hall, 2023, 654 pp., £47.99 (paperback), ISBN 9781032009100. Technometrics 66(1): 133-134 (2024) - Eduard Gabriel Bazavan, Andrei Zanfir, Teodor Alexandru Szente, Mihai Zanfir, Thiemo Alldieck, Cristian Sminchisescu:
SPHEAR: Spherical Head Registration for Complete Statistical 3D Modeling. 3DV 2024: 213-224 - Xuhong Li, Haoyi Xiong, Xingjian Li, Xiao Zhang, Ji Liu, Haiyan Jiang, Zeyu Chen, Dejing Dou:
G-LIME: Statistical Learning for Local Interpretations of Deep Neural Networks Using Global Priors (Abstract Reprint). AAAI 2024: 22705 - Cassandra Goldberg:
Statistically Principled Deep Learning for SAR Image Segmentation. AAAI 2024: 23742-23743 - Dongyan Lucy Huo, Yudong Chen, Qiaomin Xie:
Effectiveness of Constant Stepsize in Markovian LSA and Statistical Inference. AAAI 2024: 20447-20455 - Jinzhao Li, Nan Jiang, Yexiang Xue:
Solving Satisfiability Modulo Counting for Symbolic and Statistical AI Integration with Provable Guarantees. AAAI 2024: 20481-20490 - Giuseppe Marra:
From Statistical Relational to Neuro-Symbolic Artificial Intelligence. AAAI 2024: 22678 - Drago Plecko, Elias Bareinboim:
Reconciling Predictive and Statistical Parity: A Causal Approach. AAAI 2024: 14625-14632 - Yinuo Ren, Yiping Lu, Lexing Ying, Grant M. Rotskoff:
Statistical Spatially Inhomogeneous Diffusion Inference. AAAI 2024: 14820-14828 - Jan-Christoph Klie, Juan Haladjian, Marc Kirchner, Rahul Nair:
On Efficient and Statistical Quality Estimation for Data Annotation. ACL (1) 2024: 15680-15696 - Xiao Liu, Zirui Wu, Xueqing Wu, Pan Lu, Kai-Wei Chang, Yansong Feng:
Are LLMs Capable of Data-based Statistical and Causal Reasoning? Benchmarking Advanced Quantitative Reasoning with Data. ACL (Findings) 2024: 9215-9235 - Timothée Mathieu, Philippe Preux:
Statistical comparison in empirical computer science with minimal computation usage. ACM-REP 2024 - Linda Cai, Jingyi Liu, S. Matthew Weinberg, Chenghan Zhou:
Profitable Manipulations of Cryptographic Self-Selection Are Statistically Detectable. AFT 2024: 30:1-30:23 - Vo Nguyen Le Duy, Hsuan-Tien Lin, Ichiro Takeuchi:
CAD-DA: Controllable Anomaly Detection after Domain Adaptation by Statistical Inference. AISTATS 2024: 1828-1836 - Yasushi Esaki, Akihiro Nakamura, Keisuke Kawano, Ryoko Tokuhisa, Takuro Kutsuna:
Accuracy-Preserving Calibration via Statistical Modeling on Probability Simplex. AISTATS 2024: 1666-1674 - José Manuel de Frutos, Pablo M. Olmos, Manuel Alberto Vazquez Lopez, Joaquín Míguez:
Training Implicit Generative Models via an Invariant Statistical Loss. AISTATS 2024: 2026-2034 - Jiawei Huang, Batuhan Yardim, Niao He:
On the Statistical Efficiency of Mean-Field Reinforcement Learning with General Function Approximation. AISTATS 2024: 289-297 - Yixin Ren, Yewei Xia, Hao Zhang, Jihong Guan, Shuigeng Zhou:
Learning Adaptive Kernels for Statistical Independence Tests. AISTATS 2024: 2494-2502 - Kevin Scaman, Mathieu Even, Batiste Le Bars, Laurent Massoulié:
Minimax Excess Risk of First-Order Methods for Statistical Learning with Data-Dependent Oracles. AISTATS 2024: 3709-3717 - Logan Anderson, Ryan James Caverly, Andrew G. Lamperski:
Statistical Bounds on Identified QSR Dissipative Properties from Input-Output Data. ACC 2024: 1380-1385 - Xi Chen, Anindya De, Chin Ho Lee, Rocco A. Servedio:
Trace Reconstruction from Local Statistical Queries. APPROX/RANDOM 2024: 52:1-52:24 - Xu Cheng, Yuyang Ye, Guoqing He, Qianqian Song, Peng Cao:
Heterogeneous Graph Attention Network Based Statistical Timing Library Characterization with Parasitic RC Reduction. ASPDAC 2024: 171-176 - Bohan Zhao, Wei Xu, Shuo Liu, Yang Tian, Qiaoling Wang, Wenfei Wu:
Training Job Placement in Clusters with Statistical In-Network Aggregation. ASPLOS (1) 2024: 420-434 - Ryan Martin:
Which Statistical Hypotheses are Afflicted with False Confidence? BELIEF 2024: 140-149 - Hua Ma, Chengwen Zhao, Jun Ma:
Exploration of the effect of CDC20 in the diagnosis and prognosis of gastric cancer patients from a statistical and bioinformatics-based approach. BIC 2024 - Insu Choi, Woo Chang Kim:
An Iridescent Insights of Statistical Interdependencies of Financial Markets. BigComp 2024: 359-360 - Hanbyul Lee, YeongHyeon Park, Juneho Yi:
Enhancing Defective Solar Panel Detection with Attention-Guided Statistical Features Using Pre-Trained Neural Networks. BigComp 2024: 219-225 - Maximilian Hahn, Bernhard Egger:
Interactive Exploration of Conditional Statistical Shape Models in the Web-browser - exploreCOSMOS. Bildverarbeitung für die Medizin 2024: 108-113 - Bachtiar Herdianto, Romain Billot, Flavien Lucas, Marc Sevaux:
Combining Neighborhood Search with Path Relinking: A Statistical Evaluation of Path Relinking Mechanisms. MIC (2) 2024: 112-125 - Yajing Zhi, Lanfang Kong, Samed Atouati, T.-H. Hubert Chan, Mauro Sozio:
Explaining Cryptocurrency Price Trends: Statistical Analysis of Social Media Posts vs Market Prices. CACML 2024: 234-239
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