• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 99 matches

• 2020
• 
  Nasser Allheeib, David Taniar, Haidar Al-Khalidi, Md. Saiful Islam, Kiki Maulana Adhinugraha:
  Safe Regions for Moving Reverse Neighbourhood Queries in a Peer-to-Peer Environment. IEEE Access 8: 50285-50298 (2020)
• 
  Leilei Chang, Wei Dong, Jianbo Yang, Xinya Sun, Xiaobin Xu, Xiaojian Xu, Limao Zhang:
  Hybrid belief rule base for regional railway safety assessment with data and knowledge under uncertainty. Inf. Sci. 518: 376-395 (2020)
• 
  Shu-Fen Huang, Ching-Hsue Cheng:
  A Safe-Region Imputation Method for Handling Medical Data with Missing Values. Symmetry 12(11): 1792 (2020)
• 
  Zhehua Zhou, Ozgur S. Oguz, Marion Leibold, Martin Buss:
  A General Framework to Increase Safety of Learning Algorithms for Dynamical Systems Based on Region of Attraction Estimation. IEEE Trans. Robotics 36(5): 1472-1490 (2020)
• 
  Grégoire Mialon, Julien Mairal, Alexandre d'Aspremont:
  Screening Data Points in Empirical Risk Minimization via Ellipsoidal Regions and Safe Loss Functions. AISTATS 2020: 3610-3620
• 
  Georg Jäger, Johannes Schleiss, Sasiporn Usanavasin, Sebastian Stober, Sebastian Zug:
  Analyzing Regions of Safety for Handling Shared Data in Cooperative Systems. ETFA 2020: 628-635
• 
  Vyacheslav Burlov, Oleg Lepeshkin, Michael Lepeshkin:
  Mathematical Modeling of Management of Technosphere Safety in the Region. ICST 2020: 228-240
• 
  Qing LI, Ling Liu, Wanqiu Zhang, Jun Liu, Guangyu Bai:
  Evaluating Regional Rail Transit Safety: A Matter-Element Analysis Method^*. ITSC 2020: 1-6
• 
  Wenceslao Shaw-Cortez, Dimos V. Dimarogonas:
  On Compatibility and Region of Attraction for Safe, Stabilizing Control Laws. CoRR abs/2008.12179 (2020)
• 
  Zhehua Zhou, Ozgur S. Oguz, Marion Leibold, Martin Buss:
  Learning a Low-dimensional Representation of a Safe Region for Safe Reinforcement Learning on Dynamical Systems. CoRR abs/2010.09555 (2020)
• 2019
• 
  Alexandros Tzannes, Stephen T. Heumann, Lamyaa Eloussi, Mohsen Vakilian, Vikram S. Adve, Michael Han:
  Region and effect inference for safe parallelism. Autom. Softw. Eng. 26(2): 463-509 (2019)
• 
  Guilherme B. Saturnino, Hartwig Roman Siebner, Axel Thielscher, Kristoffer Hougaard Madsen:
  Accessibility of cortical regions to focal TES: Dependence on spatial position, safety, and practical constraints. NeuroImage 203 (2019)
• 
  Donald Mcmenemy, David Sidoti, Krishna R. Pattipati, Francesco A. N. Palmieri:
  A Conflict Detection Method for Ellipsoidal Safety Regions. IEEE Trans. Aerosp. Electron. Syst. 55(4): 1933-1944 (2019)
• 
  Cédric Herzet, Clément Dorffer, Angélique Dremeau:
  Gather and Conquer: Region-Based Strategies to Accelerate Safe Screening Tests. IEEE Trans. Signal Process. 67(12): 3300-3315 (2019)
• 
  Hiromu Takahashi, Reiya Takeda, Shinji Chiba:
  A Regional IoT System Using LPWA to Ensure the Safety of Local Residents and Tourists. ComComAP 2019: 145-150
• 
  Tatiana G. Penkova, Anna Metus:
  Method of Comprehensive Estimation of Natural and Anthropogenic Territory Safety in the Case of Krasnoyarsk Region. ICCSA (1) 2019: 421-433
• 
  Martin Koch, Markus Spies, Mathias Bürger:
  Trust Regions for Safe Sampling-Based Model Predictive Control. ICRA 2019: 9313-9319
• 
  Yannik Nager, Andrea Censi, Emilio Frazzoli:
  What lies in the shadows? Safe and computation-aware motion planning for autonomous vehicles using intent-aware dynamic shadow regions. ICRA 2019: 5800-5806
• 
  Kyle D. Julian, Shivam Sharma, Jean-Baptiste Jeannin, Mykel J. Kochenderfer:
  Verifying Aircraft Collision Avoidance Neural Networks Through Linear Approximations of Safe Regions. CoRR abs/1903.00762 (2019)
• 
  Grégoire Mialon, Alexandre d'Aspremont, Julien Mairal:
  Screening Data Points in Empirical Risk Minimization via Ellipsoidal Regions and Safe Loss Function. CoRR abs/1912.02566 (2019)
• 2018
• 
  Mohamed K. Helwa, Angela P. Schoellig:
  On the construction of safe controllable regions for affine systems with applications to robotics. Autom. 98: 323-330 (2018)
• 
  Jianzhong Qi, Rui Zhang, Christian S. Jensen, Kotagiri Ramamohanarao, Jiayuan He:
  Continuous Spatial Query Processing: A Survey of Safe Region Based Techniques. ACM Comput. Surv. 51(3): 64:1-64:39 (2018)
• 
  Bing-ru Cao, Hui-Hui Cao, Yong Liu:
  Research on construction and application of an evaluation system for regional road traffic safety. Grey Syst. Theory Appl. 8(4): 527-538 (2018)
• 
  Tin Nilar Win, Htoo Htoo, Yutaka Ohsawa:
  Safe-Region Generation Method for Versatile Continuous Vicinity Queries in the Road Network Distance. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 101-A(2): 472-480 (2018)
• 
  Eiji Aoki, Shinji Otsuka, Takeshi Ikenaga, Masaaki Yatsuzuka, Kazuhiro Tokiwa:
  Study on Regional Transportation Linkage System that Enables Efficient and Safe Movement Utilizing LPWA. CISIS 2018: 968-977
• 
  Gowtham Kaki, G. Ramalingam:
  Safe Transferable Regions. ECOOP 2018: 11:1-11:31
• 
  Dejanira Araiza-Illan, Alberto de San Bernabe Clemente:
  Dynamic Regions to Enhance Safety in Human-Robot Interactions. ETFA 2018: 693-698
• 
  Ying Xu, Dongxiang Zhang, Meihui Zhang, Dongsheng Li, Xiaoling Wang, Heng Tao Shen:
  Continuous Proximity Detection via Predictive Safe Region Construction. ICDE 2018: 629-640
• 
  Lucian Mogosanu, Ashay Rane, Nathan Dautenhahn:
  MicroStache: A Lightweight Execution Context for In-Process Safe Region Isolation. RAID 2018: 359-379
• 
  Alessandro Fermi, Maurizio Mongelli, Marco Muselli, Enrico Ferrari:
  Identification of safety regions in vehicle platooning via machine learning. WFCS 2018: 1-4

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