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Luis Gabriel Jaimes
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2020 – today
- 2023
- [j11]Reinaldo Sanchez-Arias, Luis Gabriel Jaimes, Shahram Taj, Md. Selim Habib:
Understanding the State of Broadband Connectivity: An Analysis of Speedtests and Emerging Technologies. IEEE Access 11: 101580-101603 (2023) - [j10]Luis Gabriel Jaimes, Alireza Chakeri, Robert Steele:
Localized cooperation for crowdsensing in a fog computing-enabled internet-of-things. J. Ambient Intell. Humaniz. Comput. 14(12): 15943-15955 (2023) - 2022
- [j9]Robert Steele, Trevor Hillsgrove, Navid Khoshavi, Luis Gabriel Jaimes:
A survey of cyber-physical system implementations of real-time personalized interventions. J. Ambient Intell. Humaniz. Comput. 13(5): 2325-2342 (2022) - [c28]Chandler Holland, Navid Khoshavi, Luis Gabriel Jaimes:
Code authorship identification via deep graph CNNs. ACM Southeast Regional Conference 2022: 144-150 - [c27]Xin Wang, Juan M. Calderón, Navid Khoshavi, Luis Gabriel Jaimes:
Path and Floor Detection in Outdoor Environments for Fall Prevention of the Visually Impaired Population. CCNC 2022: 1-6 - [c26]Harish Chintakunta, Xin Wang, Luis Gabriel Jaimes:
Improving Sensing Coverage in Vehicular Crowdsensing Using Location Diversity. ICCVE 2022: 1-6 - [c25]Luis Gabriel Jaimes, Juan M. Calderón, Scott K. Shriver, Antonio Hendricks, Javier Lozada, Sivasundaram Seenith, Harish Chintakunta:
A Generative Adversarial Approach for Sybil Attacks Recognition for Vehicular Crowdsensing. ICCVE 2022: 1-7 - 2021
- [c24]Harish Chintakunta, Janar Kahr, Luis Gabriel Jaimes:
A Vehicular Crowd-sensing Incentive Mechanism for Temporal Coverage. CCNC 2021: 1-8 - 2020
- [j8]Navid Khoshavi, Mohammad Maghsoudloo, Yu Bi, William Francois, Luis Gabriel Jaimes, Arman Sargolzaei:
A survey on attack vectors in stack cache memory. Integr. 72: 134-147 (2020) - [c23]Luis Gabriel Jaimes, Juan M. Calderón:
An UAV-based incentive mechanism for Crowdsensing with budget constraints. CCNC 2020: 1-6
2010 – 2019
- 2019
- [j7]Robert Steele, Luis Gabriel Jaimes:
Crowdsensing sub-populations in a region. J. Ambient Intell. Humaniz. Comput. 10(4): 1453-1462 (2019) - 2018
- [j6]Alireza Chakeri, Luis Gabriel Jaimes:
An Incentive Mechanism for Crowdsensing Markets With Multiple Crowdsourcers. IEEE Internet Things J. 5(2): 708-715 (2018) - [j5]Luis Gabriel Jaimes, Robert Steele:
Mobile Stress Interventions: Mechanisms and Implications. EAI Endorsed Trans. Pervasive Health Technol. 4(13): e6 (2018) - [c22]Juan M. Calderón, Luis Gabriel Jaimes:
A fuzzy control-based approach for the selection of health interventions. CCNC 2018: 1-6 - [c21]Luis Gabriel Jaimes, Juan Manuel Calderón:
Gaussian mixture model for crowdsensing incentivization. CCWC 2018: 685-689 - [c20]Luis Gabriel Jaimes, Juan Manuel Calderón:
Location-based social networks data for mobile crowdsensing. CCWC 2018: 690-694 - [c19]José León, Gustavo A. Cardona, Luis Gabriel Jaimes, Juan M. Calderón, Pablo Ospina Rodriguez:
Rendezvous Consensus Algorithm Applied to the Location of Possible Victims in Disaster Zones. ICAISC (2) 2018: 700-710 - [c18]Wilson O. Quesada, Jonathan I. Rodriguez, Juan C. Murillo, Gustavo A. Cardona, David Yanguas-Rojas, Luis Gabriel Jaimes, Juan M. Calderón:
Leader-Follower Formation for UAV Robot Swarm Based on Fuzzy Logic Theory. ICAISC (2) 2018: 740-751 - 2017
- [j4]Idalides J. Vergara-Laurens, Luis Gabriel Jaimes, Miguel A. Labrador:
Privacy-Preserving Mechanisms for Crowdsensing: Survey and Research Challenges. IEEE Internet Things J. 4(4): 855-869 (2017) - [c17]Homar Baez, Idalides J. Vergara-Laurens, Luz Torres-Molina, Luis Gabriel Jaimes, Miguel A. Labrador:
A real-time flood alert system for parking lots. CCWC 2017: 1-5 - [c16]Luis Gabriel Jaimes, Kanwalinderjit Gagneja, Mustafa Ilhan Akbas, Idalides J. Vergara-Laurens:
Future stress, forecasting physiological signals. CCWC 2017: 1-5 - [c15]Joseph Santiago, Eric Cotto, Luis Gabriel Jaimes, Idalides J. Vergara-Laurens:
Fall detection system for the elderly. CCWC 2017: 1-4 - [c14]Luis Gabriel Jaimes, Robert Steele:
Incentivization for Health Crowdsensing. DASC/PiCom/DataCom/CyberSciTech 2017: 139-146 - [c13]Kanwalinderjit Gagneja, Luis Gabriel Jaimes:
Computational Security and the Economics of Password Hacking. FNSS 2017: 30-40 - [c12]Alireza Chakeri, Luis Gabriel Jaimes:
An iterative incentive mechanism design for crowd sensing using best response dynamics. ICC 2017: 1-7 - 2016
- [j3]Idalides J. Vergara-Laurens, Diego Mendez, Luis Gabriel Jaimes, Miguel A. Labrador:
A-PIE: An algorithm for preserving privacy, quality of information, and energy consumption in Participatory Sensing Systems. Pervasive Mob. Comput. 32: 93-112 (2016) - [j2]Luis Gabriel Jaimes, Martin Llofriu, Andrew Raij:
PREVENTER, a Selection Mechanism for Just-in-Time Preventive Interventions. IEEE Trans. Affect. Comput. 7(3): 243-257 (2016) - [c11]Luis Gabriel Jaimes, Yueng De La Hoz, Christopher Eggert, Idalides J. Vergara-Laurens:
PAT: A power-aware decision tree algorithm for mobile activity recognition. CCNC 2016: 54-59 - 2015
- [j1]Luis Gabriel Jaimes, Idalides J. Vergara-Laurens, Andrew Raij:
A Survey of Incentive Techniques for Mobile Crowd Sensing. IEEE Internet Things J. 2(5): 370-380 (2015) - [c10]Amar Amouri, Luis Gabriel Jaimes, Raju Manthena, Salvatore D. Morgera, Idalides J. Vergara-Laurens:
A simple scheme for pseudo clustering algorithm for cross layer intrusion detection in MANET. LATINCOM 2015: 1-6 - [c9]Idalides J. Vergara-Laurens, Luis Gabriel Jaimes:
Using network analysis for improving privacy in crowd sensing systems. LATINCOM 2015: 1-6 - [c8]Luis Gabriel Jaimes, Idalides J. Vergara-Laurens:
CORREDOR, A mobile Human-Centric Sensing System for Activity Recognition. LAWC@LATINCOM 2015: 36-39 - 2014
- [c7]Luis Gabriel Jaimes, Martin Llofriu, Andrew Raij:
A Stress-Free Life: Just-in-Time Interventions for Stress via Real-Time Forecasting and Intervention Adaptation. BODYNETS 2014 - [c6]Luis Gabriel Jaimes, Idalides J. Vergara-Laurens, Andrew Raij:
A crowd sensing incentive algorithm for data collection for consecutive time slot problems. LATINCOM 2014: 1-5 - [c5]Luis Gabriel Jaimes, Idalides J. Vergara-Laurens, Alireza Chakeri:
SPREAD, a crowd sensing incentive mechanism to acquire better representative samples. PerCom Workshops 2014: 92-97 - 2013
- [c4]Luis Gabriel Jaimes, Tylar Murray, Andrew Raij:
Increasing Trust in Personal Informatics Tools. HCI (11) 2013: 520-529 - [c3]Tylar Murray, Luis Gabriel Jaimes, Eric B. Hekler, Donna Spruijt-Metz, Andrew Raij:
A glanceable mobile avatar for behavior change. Wireless Health 2013: 16:1-16:2 - 2012
- [c2]Luis Gabriel Jaimes, Idalides J. Vergara-Laurens, Miguel A. Labrador:
A location-based incentive mechanism for participatory sensing systems with budget constraints. PerCom 2012: 103-108 - 2010
- [c1]Luis Gabriel Jaimes, Vicenç Torra:
On the Selection of Parameter m in Fuzzy c-Means: A Computational Approach. IUM 2010: 443-452
Coauthor Index
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