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Publication search results
found 92 matches
- 2024
- Jinhua Zhu, Javier Conde, Zhen Gao, Pedro Reviriego, Shanshan Liu, Fabrizio Lombardi:
Concurrent Linguistic Error Detection (CLED) for Large Language Models. CoRR abs/2403.16393 (2024) - 2023
- Lin Jiang, Shuai Wang, Baoshen Guo, Hai Wang, Desheng Zhang, Guang Wang:
FairCod: A Fairness-aware Concurrent Dispatch System for Large-scale Instant Delivery Services. KDD 2023: 4229-4238 - Qiaowen Jia, Yi Lv, Peng Wu, Bohua Zhan, Jifeng Hao, Hong Ye, Chao Wang:
VeriLin: A Linearizability Checker for Large-Scale Concurrent Objects. TASE 2023: 202-220 - Pedro Reviriego, Ziheng Wang, Alvaro Alonso, Zhen Gao, Farzad Niknia, Shanshan Liu, Fabrizio Lombardi:
Concurrent Classifier Error Detection (CCED) in Large Scale Machine Learning Systems. CoRR abs/2306.01820 (2023) - 2022
- Chandra Shekhar Maddila, Nachiappan Nagappan, Christian Bird, Georgios Gousios, Arie van Deursen:
ConE: A Concurrent Edit Detection Tool for Large-scale Software Development. ACM Trans. Softw. Eng. Methodol. 31(2): 22:1-22:26 (2022) - Tuo Shi, Zhipeng Cai, Yingshu Li:
Query Recombination: To Process a Large Number of Concurrent Top-k Queries towards IoT Data on an Edge Server. ICDCS 2022: 559-569 - Yong Liu, Xiangning Chen, Minhao Cheng, Cho-Jui Hsieh, Yang You:
Concurrent Adversarial Learning for Large-Batch Training. ICLR 2022 - 2021
- Xiang Li, Shulin Yang, Yongliang Huang, Jiao Peng, Meiqi Zhou:
Research on Large Scale Data Concurrent Processing Scheme of Printing Equipment Fault Diagnosis System. EITCE 2021: 114-119 - Philipp Haller:
Keynote Lecture : Towards Robust, Large-scale Concurrent and Distributed Programming. ISPDC 2021: xiv - Chandra Shekhar Maddila, Nachiappan Nagappan, Christian Bird, Georgios Gousios, Arie van Deursen:
ConE: A Concurrent Edit Detection Tool for Large ScaleSoftware Development. CoRR abs/2101.06542 (2021) - Yong Liu, Xiangning Chen, Minhao Cheng, Cho-Jui Hsieh, Yang You:
Concurrent Adversarial Learning for Large-Batch Training. CoRR abs/2106.00221 (2021) - 2020
- Tae Hyun Kim, Hayoung Lee, Sungho Kang:
GPU-Based Redundancy Analysis Using Concurrent Evaluation. IEEE Trans. Very Large Scale Integr. Syst. 28(3): 805-817 (2020) - Thomas Pursche, Marcel Walz, Roland Clauß, Bernd Tibken, Reinhard Möller, Karol Niewiadomski:
Concurrent video-based heart-rate measurement from human faces for large groups of participants - an improved CNN approach. ICCE 2020: 1-6 - Chunfeng Lian, Fan Wang, Hannah H. Deng, Li Wang, Deqiang Xiao, Tianshu Kuang, Hung-Ying Lin, Jaime Gateno, Steve Guo-Fang Shen, Pew-Thian Yap, James J. Xia, Dinggang Shen:
Multi-task Dynamic Transformer Network for Concurrent Bone Segmentation and Large-Scale Landmark Localization with Dental CBCT. MICCAI (4) 2020: 807-816 - 2019
- Shumei Zhang, Chunhui Zhao:
Concurrent analysis of variable correlation and data distribution for monitoring large-scale processes under varying operation conditions. Neurocomputing 349: 225-238 (2019) - Jingwei Liu, Huijuan Cao, Qingqing Li, Fanghui Cai, Xiaojiang Du, Mohsen Guizani:
A Large-Scale Concurrent Data Anonymous Batch Verification Scheme for Mobile Healthcare Crowd Sensing. IEEE Internet Things J. 6(2): 1321-1330 (2019) - Yinghui Zhang, Jiangang Shu, Ximeng Liu, Jin Li, Dong Zheng:
Comments on "A Large-Scale Concurrent Data Anonymous Batch Verification Scheme for Mobile Healthcare Crowd Sensing". IEEE Internet Things J. 6(1): 1287-1290 (2019) - Eduardo Weber Wächter, Cedric de Bellefroid, Basireddy Karunakar Reddy, Amit Kumar Singh, Bashir M. Al-Hashimi, Geoff V. Merrett:
Predictive Thermal Management for Energy-Efficient Execution of Concurrent Applications on Heterogeneous Multicores. IEEE Trans. Very Large Scale Integr. Syst. 27(6): 1404-1415 (2019) - Razvan-Andrei Stoica, Hiroki Iimori, Giuseppe Thadeu Freitas de Abreu:
Sparsely-structured Multiuser Detection for Large Massively Concurrent NOMA Systems. ACSSC 2019: 1821-1826 - Razvan-Andrei Stoica, Hiroki Iimori, Giuseppe Thadeu Freitas de Abreu:
Multiuser Detection for Large Massively Concurrent NOMA Systems via Fractional Programming. CAMSAP 2019: 599-603 - Wenhui Yu, Zhengrong Wu, Xinye Bao, Libin Yin, Yaowen Liang, Yan He:
Application of In-Memory Database in Concurrent Topology Analysis of GIS Systems for Large-Scale Distribution Power Grids. ISKE 2019: 760-764 - Malik Summair Asghar, Saad Arslan, HyungWon Kim, Jaehun Jun, Hyunkyu Park:
Hybrid Concurrent Driving Technique for Large Touch Screen Panels. ISOCC 2019: 79-80 - Pouria Zand, Ayturk Duzen, Jac Romme, Jochem Govers, Christian Bachmann, Kathleen Philips:
A high-accuracy concurrent phase-based ranging for large-scale dense BLE network. PIMRC 2019: 1-7 - 2018
- Loïc Pottier:
Co-scheduling for large-scale applications : memory and resilience. (Ordonnancement concurrent d'applications à grande échelle : mémoire et résilience). University of Lyon, France, 2018 - Srivatsa Rangachar Srinivasa, Xueqing Li, Meng-Fan Chang, John Sampson, Sumeet Kumar Gupta, Vijaykrishnan Narayanan:
Compact 3-D-SRAM Memory With Concurrent Row and Column Data Access Capability Using Sequential Monolithic 3-D Integration. IEEE Trans. Very Large Scale Integr. Syst. 26(4): 671-683 (2018) - Yu-Kai Tsai, Yi-Keng Hsieh, Hung-Yu Tsai, Huan-Sheng Chen, Liang-Hung Lu:
A Concurrent Dual-Band and Dual-Mode Frequency Synthesizer for Radar Systems. IEEE Trans. Very Large Scale Integr. Syst. 26(5): 945-957 (2018) - Jingwei Liu, Huijuan Cao, Qingqing Li, Fanghui Cai, Xiaojiang Du, Mohsen Guizani:
A Large-scale Concurrent Data Anonymous Batch Verification Scheme for Mobile Healthcare Crowd Sensing. CoRR abs/1804.01822 (2018) - 2016
- Paul C. Attie:
Synthesis of large dynamic concurrent programs from dynamic specifications. Formal Methods Syst. Des. 48(1-2): 94-147 (2016) - Héctor Allende-Cid, Diego Acuña, Héctor Allende:
Subsampling the Concurrent AdaBoost Algorithm: An Efficient Approach for Large Datasets. CIARP 2016: 318-325 - Marco Eichelberg, Catherine E. Chronaki:
Large Scale eHealth Deployment in Europe: Insights from Concurrent Use of Standards. MIE 2016: 416-420
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