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Publication search results
found 181 matches
- 2024
- Kan Wu, Yonglin Zhou, Jun Ma, Xianhui Guo:
Topic-Specific Political Stance Inference in Social Networks With Case Studies. IEEE Access 12: 21921-21935 (2024) - Hanwen Xing, Christopher Yau:
Bayesian inference for identifying tumour-specific cancer dependencies through integration of ex-vivo drug response assays and drug-protein profiling. BMC Bioinform. 25(1): 104 (2024) - Yuyang Dou, Yujie Ren, Xinmiao Zhao, Jiaming Jin, Shizheng Xiong, Lulu Luo, Xinru Xu, Xueni Yang, Jiafeng Yu, Li Guo, Tingming Liang:
CSSLdb: Discovery of cancer-specific synthetic lethal interactions based on machine learning and statistic inference. Comput. Biol. Medicine 170: 108066 (2024) - K. Narasimha Mallikarjunan, Harine Rajashree, K. Sundarakantham, Mercy Shalinie Selvaraj:
RISE : Privacy preserved data analytics using Regularized Inference Specific autoEncoder. Eng. Appl. Artif. Intell. 133: 108384 (2024) - Simon Spies, Lennard Gäher, Michael Sammler, Derek Dreyer:
Quiver: Guided Abductive Inference of Separation Logic Specifications in Coq. Proc. ACM Program. Lang. 8(PLDI): 889-913 (2024) - Kai Klanten, Stefan Hanenberg, Stefan Gries, Volker Gruhn:
Readability of Domain-Specific Languages: A Controlled Experiment Comparing (Declarative) Inference Rules with (Imperative) Java Source Code in Programming Language Design. ICSOFT 2024: 492-503 - Huazheng Wang, Jinming Wu, Haifeng Sun, Zixuan Xia, Daixuan Cheng, Jingyu Wang, Qi Qi, Jianxin Liao:
MDR: Model-Specific Demonstration Retrieval at Inference Time for In-Context Learning. NAACL-HLT 2024: 4189-4204 - Niels Dossche, Bart Coppens:
Inference of Error Specifications and Bug Detection Using Structural Similarities. USENIX Security Symposium 2024 - Alix Decrop, Gilles Perrouin, Mike Papadakis, Xavier Devroey, Pierre-Yves Schobbens:
You Can REST Now: Automated Specification Inference and Black-Box Testing of RESTful APIs with Large Language Models. CoRR abs/2402.05102 (2024) - Florent Guépin, Natasa Krco, Matthieu Meeus, Yves-Alexandre de Montjoye:
Lost in the Averages: A New Specific Setup to Evaluate Membership Inference Attacks Against Machine Learning Models. CoRR abs/2405.15423 (2024) - Carter T. Butts:
A Return to Biased Nets: New Specifications and Approximate Bayesian Inference. CoRR abs/2405.18873 (2024) - Ran Wei:
Value of Information and Reward Specification in Active Inference and POMDPs. CoRR abs/2408.06542 (2024) - 2023
- Ankit Shah, Pritish Kamath, Shen Li, Patrick L. Craven, Kevin J. Landers, Kevin Oden, Julie Shah:
Supervised Bayesian specification inference from demonstrations. Int. J. Robotics Res. 42(14): 1245-1264 (2023) - Narges Shadab, Pritam M. Gharat, Shrey Tiwari, Michael D. Ernst, Martin Kellogg, Shuvendu K. Lahiri, Akash Lal, Manu Sridharan:
Inference of Resource Management Specifications. Proc. ACM Program. Lang. 7(OOPSLA2): 1705-1728 (2023) - Karthikeyan Gopalakrishnan, Arunkumar Balakrishnan, Kousalya Govardhanan, Sadagopan Selvarasu:
Propositional Inference for IoT Based Dosage Calibration System Using Private Patient-Specific Prescription against Fatal Dosages. Sensors 23(1): 336 (2023) - Bingyan Liu, Weifeng Lin, Zhongjie Duan, Chengyu Wang, Ziheng Wu, Zhang Zipeng, Kui Jia, Lianwen Jin, Cen Chen, Jun Huang:
Rapid Diffusion: Building Domain-Specific Text-to-Image Synthesizers with Fast Inference Speed. ACL (industry) 2023: 295-304 - Abdul Muneeb, Shreshth Mehrotra, Hossein Kassiri:
A 9.5ms-Latency 6.2µJ/Inference Spiking CNN for Patient-Specific Seizure Detection. BioCAS 2023: 1-5 - Eric V. Strobl, Thomas A. Lasko:
Sample-Specific Root Causal Inference with Latent Variables. CLeaR 2023: 895-915 - Lorenzo Corradi, Alessandro Manenti, Francesca Del Bonifro, Francesco Setti, Dario Del Sorbo:
A Deep Natural Language Inference Predictor Without Language-Specific Training Data. ICIAP (2) 2023: 168-181 - Shlok Sobti, Rahul Shome, Lydia E. Kavraki:
Efficient Inference of Temporal Task Specifications from Human Demonstrations using Experiment Design. ICRA 2023: 9764-9770 - Raouf Kerkouche, Gergely Ács, Mario Fritz:
Client-specific Property Inference against Secure Aggregation in Federated Learning. WPES@CCS 2023: 45-60 - Renzo Degiovanni, Facundo Molina, Agustín Nolasco, Nazareno Aguirre, Mike Papadakis:
Specification Inference for Evolving Systems. CoRR abs/2301.12403 (2023) - Raouf Kerkouche, Gergely Ács, Mario Fritz:
Client-specific Property Inference against Secure Aggregation in Federated Learning. CoRR abs/2303.03908 (2023) - Magnus T. Koudahl, Thijs van de Laar, Bert de Vries:
Realising Synthetic Active Inference Agents, Part I: Epistemic Objectives and Graphical Specification Language. CoRR abs/2306.08014 (2023) - Narges Shadab, Pritam M. Gharat, Shrey Tiwari, Michael D. Ernst, Martin Kellogg, Shuvendu K. Lahiri, Akash Lal, Manu Sridharan:
Automatic Inference of Resource Leak Specifications. CoRR abs/2306.11953 (2023) - Lorenzo Corradi, Alessandro Manenti, Francesca Del Bonifro, Francesco Setti, Dario Del Sorbo:
A deep Natural Language Inference predictor without language-specific training data. CoRR abs/2309.02887 (2023) - 2022
- Jérôme Dohrau:
Automatic Inference of Permission Specifications. ETH Zurich, Zürich, Switzerland, 2022 - Maëliss Jallais:
Enabling cortical cell-specific sensitivity on diffusion MRI microstructure measurements using likelihood-free inference. (Extension de la mesure de la microstructure par IRM de diffusion aux cellules corticales via inférence par simulation). University of Paris-Saclay, France, 2022 - Feng Zhang, Chen Yang, Yihao Wang, Huiyuan Jiao, Zhiming Wang, Jianfeng Shen, Lingjie Li:
FitDevo: accurate inference of single-cell developmental potential using sample-specific gene weight. Briefings Bioinform. 23(5) (2022) - Yun Zhang, Hao Sun, Aishwarya Mandava, Brian D. Aevermann, Tobias R. Kollmann, Richard H. Scheuermann, Xing Qiu, Yu Qian:
FastMix: a versatile data integration pipeline for cell type-specific biomarker inference. Bioinform. 38(20): 4735-4744 (2022)
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