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Publication search results
found 100 matches
- 2024
- Viktor Masalskyi, Dominykas Ciciurenas, Andrius Dzedzickis, Urte Prentice, Gediminas Braziulis, Vytautas Bucinskas:
Synchronization of Separate Sensors' Data Transferred through a Local Wi-Fi Network: A Use Case of Human-Gait Monitoring. Future Internet 16(2): 36 (2024) - Jianhao Huang, Dongxu Li, Chuan Huang, Xiaoqi Qin, Wei Zhang:
Joint Task and Data-Oriented Semantic Communications: A Deep Separate Source-Channel Coding Scheme. IEEE Internet Things J. 11(2): 2255-2272 (2024) - Lizhi Xiong, Xiao Han, Ching-Nung Yang, Yun-Qing Shi:
Reversible Data Hiding in Shared Images With Separate Cover Image Reconstruction and Secret Extraction. IEEE Trans. Cloud Comput. 12(1): 186-199 (2024) - Egor Zverev, Sahar Abdelnabi, Mario Fritz, Christoph H. Lampert:
Can LLMs Separate Instructions From Data? And What Do We Even Mean By That? CoRR abs/2403.06833 (2024) - 2023
- Domagoj Matijevic:
Well-Separated Pair Decompositions for High-Dimensional Datasets. Algorithms 16(5): 254 (2023) - Lena Schmid, Alexander Gerharz, Andreas Groll, Markus Pauly:
Tree-based ensembles for multi-output regression: Comparing multivariate approaches with separate univariate ones. Comput. Stat. Data Anal. 179: 107628 (2023) - Mingwu Zhang, Shuo Huang, Gang Shen, Yuntao Wang:
PPNNP: A privacy-preserving neural network prediction with separated data providers using multi-client inner-product encryption. Comput. Stand. Interfaces 84: 103678 (2023) - Junkai Wang, Lianlei Lin, Sheng Gao, Zongwei Zhang:
Deep generation network for multivariate spatio-temporal data based on separated attention. Inf. Sci. 633: 85-103 (2023) - Dorian Dupuy, Nicolas Odier, Corentin Lapeyre:
Data-driven wall modeling for turbulent separated flows. J. Comput. Phys. 487: 112173 (2023) - Chilankamol Sunny, Shibu Kumar K. B:
Refined PSO Clustering for Not Well-Separated Data. J. Exp. Theor. Artif. Intell. 35(6): 831-847 (2023) - Jun Yang, Xin Huang, Liangjun Yan, Xiaoyue Cao:
Three-Dimensional Separate and Joint Inversions of Multi-Component Frequency-Domain Airborne Electromagnetic Data: Synthetic Model Studies. Sensors 23(15): 6842 (2023) - Eva K. Lee, Fan Yuan, Barton J. Mann, Brent M. Egan:
Handling Imbalanced and Poorly Separated Data: a Multi-Stage Multi-Group Machine Learning Approach. BIBM 2023: 4336-4343 - Rohit Murali, Cristina Conati, Roger Azevedo:
Predicting Co-occurring Emotions in MetaTutor when Combining Eye-Tracking and Interaction Data from Separate User Studies. LAK 2023: 388-398 - Mensur Omerbashich:
N-S separated 1994-2008 Ulysses data of polar (fast) solar winds for detection of the Sun global Alfven resonance, hourly averaged. IEEE DataPort, 2023 - Jianhao Huang, Dongxu Li, Chuan Huang, Xiaoqi Qin, Wei Zhang:
Joint Task and Data Oriented Semantic Communications: A Deep Separate Source-channel Coding Scheme. CoRR abs/2302.13580 (2023) - Peter Clark, Bhavana Dalvi Mishra, Oyvind Tafjord:
BaRDa: A Belief and Reasoning Dataset that Separates Factual Accuracy and Reasoning Ability. CoRR abs/2312.07527 (2023) - 2022
- Dianbo Liu, Kathe P. Fox, Griffin M. Weber, Timothy A. Miller:
Confederated learning in healthcare: Training machine learning models using disconnected data separated by individual, data type and identity for Large-Scale health system Intelligence. J. Biomed. Informatics 134: 104151 (2022) - Chang Ren, Luliang Tang, Xue Yang, Jed A. Long:
Mapping Grade-Separated Junctions in Detail Using Crowdsourced Trajectory Data. IEEE Trans. Intell. Transp. Syst. 23(6): 5552-5561 (2022) - Seungnam Han, Haewon Lee, Seungwook Yoon, Euiseok Hwang:
Localization of IoT Devices based on Spatially Separated Multi-Antenna Radio Frequency Channel State Information. IEEE Big Data 2022: 6644-6646 - Guan Wang, Yundong Li:
Monocular depth estimation using synthetic data with domain-separated feature alignment. CSAI 2022: 100-105 - Jin Yan, Zhiming Ding, Shuai Zhang:
An Object Separated Storage Framework Towards Spatiotemporal Point Data Fast Query. iiWAS 2022: 211-223 - Marcel Weisgut, Daniel Ritter, Martin Boissier, Michael Perscheid:
Separated Allocator Metadata in Disaggregated In-Memory Databases: Friend or Foe? IPDPS Workshops 2022: 1202-1208 - Adam Gudys, Marek Sikora, Lukasz Wróbel:
Separate and conquer heuristic allows robust mining of contrast sets from various types of data. CoRR abs/2204.00497 (2022) - Z. Y. Wang, W. W. Zhang:
A unified method of data assimilation and turbulence modeling for separated flows at high Reynolds numbers. CoRR abs/2211.00601 (2022) - 2021
- Mohamed Elshrkawey, Hassan Al-Mahdi:
SDA-SM: An Efficient Secure Data Aggregation Scheme using Separate MAC across Wireless Sensor Networks. Int. J. Comput. Commun. Control 16(2) (2021) - Raphaël Nussbaumer, Baptiste Schmid, Silke Bauer, Felix Liechti:
A Gaussian Mixture Model to Separate Birds and Insects in Single-Polarization Weather Radar Data. Remote. Sens. 13(10): 1989 (2021) - Katherina Meißner, Julia Rieck:
Multivariate Forecasting of Road Accidents Based on Geographically Separated Data. Vietnam. J. Comput. Sci. 8(3): 433-454 (2021) - Zepeng Huo, Lida Zhang, Rohan Khera, Shuai Huang, Xiaoning Qian, Zhangyang Wang, Bobak J. Mortazavi:
Sparse Gated Mixture-of-Experts to Separate and Interpret Patient Heterogeneity in EHR data. BHI 2021: 1-4 - Aparna Nayak, Bojan Bozic, Luca Longo:
Data Quality Assessment of Comma Separated Values Using Linked Data Approach. BIS (Workshops) 2021: 240-250 - Robi Bhattacharjee, Somesh Jha, Kamalika Chaudhuri:
Sample Complexity of Robust Linear Classification on Separated Data. ICML 2021: 884-893
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