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Publication search results
found 152 matches
- 2024
- Kun Zhang, Shaoan Xie, Ignavier Ng, Yujia Zheng:
Causal Representation Learning from Multiple Distributions: A General Setting. CoRR abs/2402.05052 (2024) - Rushang Karia, Pulkit Verma, Alberto Speranzon, Siddharth Srivastava:
Epistemic Exploration for Generalizable Planning and Learning in Non-Stationary Settings. CoRR abs/2402.08145 (2024) - Rajeev V. Rikhye, Aaron Loh, Grace Eunhae Hong, Preeti Singh, Margaret Ann Smith, Vijaytha Muralidharan, Doris Wong, Rory Sayres, Michelle Phung, Nicolas Betancourt, Bradley Fong, Rachna Sahasrabudhe, Khoban Nasim, Alec Eschholz, Basil Mustafa, Jan Freyberg, Terry Spitz, Yossi Matias, Gregory S. Corrado, Katherine Chou, Dale R. Webster, Peggy Bui, Yuan Liu, Yun Liu, Justin Ko, Steven Lin:
Closing the AI generalization gap by adjusting for dermatology condition distribution differences across clinical settings. CoRR abs/2402.15566 (2024) - Kaisei Kajita, Go Ohtake, Tsuyoshi Takagi:
Generalized Adaptor Signature Scheme: From Two-Party to N-Party Settings. IACR Cryptol. ePrint Arch. 2024: 241 (2024) - 2023
- Milda Poceviciute:
Generalisation and reliability of deep learning for digital pathology in a clinical setting. Linköping University, Sweden, 2023 - Andrea Cinfrignini, Davide Petturiti, Barbara Vantaggi:
Envelopes of equivalent martingale measures and a generalized no-arbitrage principle in a finite setting. Ann. Oper. Res. 321(1): 103-137 (2023) - Samir Hassoun, Chiara Bruckmann, Stefano Ciardullo, Gianluca Perseghin, Francesca Di Gaudio, Francesco Broccolo:
Setting up of a machine learning algorithm for the identification of severe liver fibrosis profile in the general US population cohort. Int. J. Medical Informatics 170: 104932 (2023) - Changjian Shui, Ruizhi Pu, Gezheng Xu, Jun Wen, Fan Zhou, Christian Gagné, Charles X. Ling, Boyu Wang:
Towards More General Loss and Setting in Unsupervised Domain Adaptation. IEEE Trans. Knowl. Data Eng. 35(10): 10140-10150 (2023) - Antoine Ledent, Rodrigo Alves, Yunwen Lei, Yann Guermeur, Marius Kloft:
Generalization Bounds for Inductive Matrix Completion in Low-Noise Settings. AAAI 2023: 8447-8455 - William Hogan, Jiacheng Li, Jingbo Shang:
Open-world Semi-supervised Generalized Relation Discovery Aligned in a Real-world Setting. EMNLP 2023: 14227-14242 - Andrew Lewis-Pye, Tim Roughgarden:
Byzantine Generals in the Permissionless Setting. FC (1) 2023: 21-37 - William Hogan, Jiacheng Li, Jingbo Shang:
Open-world Semi-supervised Generalized Relation Discovery Aligned in a Real-world Setting. CoRR abs/2305.13533 (2023) - 2022
- Muhammad Bilal Khan, Jorge Eduardo Macías-Díaz, Mohamed S. Soliman, Muhammad Aslam Noor:
Some New Integral Inequalities for Generalized Preinvex Functions in Interval-Valued Settings. Axioms 11(11): 622 (2022) - Rodrigo A. Freire, Peter Holy:
An Axiomatic Approach to forcing in a General Setting. Bull. Symb. Log. 28(3): 427-450 (2022) - Baoquan Ning, Guiwu Wei, Rui Lin, Yanfeng Guo:
A novel MADM technique based on extended power generalized Maclaurin symmetric mean operators under probabilistic dual hesitant fuzzy setting and its application to sustainable suppliers selection. Expert Syst. Appl. 204: 117419 (2022) - Sean C. Yu, Aditi Gupta, Kevin D. Betthauser, Patrick G. Lyons, Albert M. Lai, Marin Kollef, Philip R. O. Payne, Andrew P. Michelson:
Sepsis Prediction for the General Ward Setting. Frontiers Digit. Health 4: 848599 (2022) - Monireh Allah Gholi Ghasri, Ali Mohammad Afshin Hemmatyar:
A Generalized Framework for Joint Dynamic Optimal RF Interface Setting and Next-Hop Selection in IoT Networks With Similar Requests. IEEE Netw. Lett. 4(2): 68-72 (2022) - Takuma Bando, Tomonari Sei, Kazuyoshi Yata:
Consistency of the objective general index in high-dimensional settings. J. Multivar. Anal. 189: 104938 (2022) - Jenny Yang, Andrew A. S. Soltan, David A. Clifton:
Machine learning generalizability across healthcare settings: insights from multi-site COVID-19 screening. npj Digit. Medicine 5 (2022) - Alaa Alhamzeh, Elöd Egyed-Zsigmond, Dorra El Mekki, Abderrazzak El Khayari, Jelena Mitrovic, Lionel Brunie, Harald Kosch:
Empirical Study of the Model Generalization for Argument Mining in Cross-Domain and Cross-Topic Settings. Trans. Large Scale Data Knowl. Centered Syst. 52: 103-126 (2022) - Kuan-Po Huang, Yu-Kuan Fu, Tsu-Yuan Hsu, Fabian Ritter Gutierrez, Fan-Lin Wang, Liang-Hsuan Tseng, Yu Zhang, Hung-yi Lee:
Improving Generalizability of Distilled Self-Supervised Speech Processing Models Under Distorted Settings. SLT 2022: 1112-1119 - Di Jin, Sungchul Kim, Ryan A. Rossi, Danai Koutra:
On Generalizing Static Node Embedding to Dynamic Settings. WSDM 2022: 410-420 - Sheng-Guo Wang, Shanshan Jiang:
Optimal Hyperparameters and Structure Setting of Multi-Objective Robust CNN Systems via Generalized Taguchi Method and Objective Vector Norm. CoRR abs/2202.04567 (2022) - Philipp A. Guth, Vesa Kaarnioja:
Generalized dimension truncation error analysis for high-dimensional numerical integration: lognormal setting and beyond. CoRR abs/2209.06176 (2022) - Carla Sendra-Balcells, Víctor M. Campello, Jordina Torrents-Barrena, Yahya Ali Ahmed, Mustafa A. Elattar, Benard Ohene Botwe, Pempho Nyangulu, William Stones, Mohammed Ammar, Lamya Nawal Benamer, Harriet Nalubega Kisembo, Senai Goitom Sereke, Sikolia Z. Wanyonyi, Marleen Temmerman, Kamil Mikolaj, Martin Grønnebæk Tolsgaard, Karim Lekadir:
Generalisability of deep learning models in low-resource imaging settings: A fetal ultrasound study in 5 African countries. CoRR abs/2209.09610 (2022) - Kuan-Po Huang, Yu-Kuan Fu, Tsu-Yuan Hsu, Fabian Ritter Gutierrez, Fan-Lin Wang, Liang-Hsuan Tseng, Yu Zhang, Hung-yi Lee:
Improving generalizability of distilled self-supervised speech processing models under distorted settings. CoRR abs/2210.07978 (2022) - Antoine Ledent, Rodrigo Alves, Yunwen Lei, Yann Guermeur, Marius Kloft:
Generalization Bounds for Inductive Matrix Completion in Low-noise Settings. CoRR abs/2212.08339 (2022) - 2021
- Izatmand, Tahir Mahmood, Zeeshan Ali, Muhammad Aslam, Ronnason Chinram:
Generalized Hamacher Aggregation Operators Based on Linear Diophantine Uncertain Linguistic Setting and Their Applications in Decision-Making Problems. IEEE Access 9: 126748-126764 (2021) - Rafael Peres da Silva, Chayaporn Suphavilai, Niranjan Nagarajan:
TUGDA: task uncertainty guided domain adaptation for robust generalization of cancer drug response prediction from in vitro to in vivo settings. Bioinform. 37(Supplement): 76-83 (2021) - Huadong Lai, Weichao Xu, Jisheng Dai, Yanzhou Zhou:
Threshold Setting of Generalized Likelihood Ratio Test for Impropriety of Complex Signals. IEEE Signal Process. Lett. 28: 1699-1703 (2021)
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