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Publication search results
found 14,990 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) - 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 - 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 - 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 - 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 - Francesco Colosimo, Floriano De Rango:
Distance-Statistical Based Byzantine-Robust Algorithms in Federated Learning. CCNC 2024: 1034-1035 - Xi Zhang, Qixuan Zhu:
Integrated Sensing, Communications, and Powering for Statistical-QoS Provisioning Over Next-Generation Massive-MIMO Mobile Networks. CISS 2024: 1-6 - Baris Ege, Bob Swinkels, Dilara Toprakhisar, Praveen Kumar Vadnala:
Practical Improvements to Statistical Ineffective Fault Attacks. COSADE 2024: 59-75 - Kyoungyeon Cho, Seungkum Han, Young Rok Choi, Wonseok Hwang:
NESTLE: a No-Code Tool for Statistical Analysis of Legal Corpus. EACL (Demonstrations) 2024: 52-61 - Witold Andrzejewski, Bartosz Bebel, Pawel Boinski, Justyna Kowalewska, Agnieszka Marszalek, Robert Wrembel:
Statistical Modeling vs. Machine Learning for Deduplication of Customer Records. EDBT/ICDT Workshops 2024 - Byeong Yong Kong:
Statistical Analysis of Bitwise Early Termination for Iterative Multiuser Detection in IDMA Systems. ICEIC 2024: 1-3 - Gilad Asharov, Anirudh Chandramouli:
Perfect (Parallel) Broadcast in Constant Expected Rounds via Statistical VSS. EUROCRYPT (5) 2024: 310-339 - Changrui Mu, Shafik Nassar, Ron D. Rothblum, Prashant Nalini Vasudevan:
Strong Batching for Non-interactive Statistical Zero-Knowledge. EUROCRYPT (6) 2024: 241-270 - Aidan Walden, Maxim Buzdalov:
A Simple Statistical Test Against Origin-Biased Metaheuristics. EvoApplications@EvoStar 2024: 322-337 - Venilton Falvo Junior, Anderson Marcolino, Diego Renan Bruno, Catherine Martins Falvo, Fernando Santos Osório, Ellen F. Barbosa:
Lexical Analysis of Automatic Transcriptions Using Speech-to-Text Services: A Statistically Evaluated Case Study. HICSS 2024: 5317-5326 - Rene Lehmann, Bodo Vogt:
Compositional data statistics improves smart tourism data analytics: profound managerial decisions through reduced statistical bias and increased power. HICSS 2024: 1701-1710 - Jouh Yeong Chew, Isuru Jayarathne:
Human States and Nonverbal Cues in Multi-party Facilitation: A Statistical Perspective. HRI (Companion) 2024: 317-321
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