Martin Molina

Получаване на мой собствен потребителски профил

Позовавания

	Всички	От 2019
Позовавания	2286	1117
h-индекс	25	16
i10-индекс	53	24

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Публичен достъп

Преглед на всички

32 статии

0 статии

налични

неналични

Въз основа на изисквания при финансирането

Съавтори

Pascual CampoyFull Professor (C.A.R.-U.P.M.)Потвърден имейл адрес: upm.es
Jose Luis Sanchez-LopezResearch Scientist at SnT - University of LuxembourgПотвърден имейл адрес: uni.lu
Ramon A. Suarez FernandezUniversidad Politecnica de MadridПотвърден имейл адрес: alumnos.upm.es
Hriday BavlePostdoctoral Researcher at the University of LuxembourgПотвърден имейл адрес: uni.lu
Carlos Sampedro PerezLead AI Engineer at UnusualsПотвърден имейл адрес: upm.es
Alejandro Rodriguez-RamosResearcher & PhD CandidateПотвърден имейл адрес: upm.es
Luis GarroteTechnical University of MadridПотвърден имейл адрес: upm.es
Amanda StentDirector, Davis Institute for Artificial Intelligence, Colby CollegeПотвърден имейл адрес: colby.edu
Jesús PestanaPro2Future GmbHПотвърден имейл адрес: pro2future.at
Emilio SerranoDepartment of Artificial Intelligence, Ontology Engineering Group, UPMПотвърден имейл адрес: fi.upm.es
Miguel Fernandez-CortizasDoctoral researcher, CVAR, Universidad Politécnica de MadridПотвърден имейл адрес: upm.es
Saso DzeroskiJozef Stefan Institute, Dept. of Knowledge TechnologiesПотвърден имейл адрес: ijs.si
Javier Rodriguez-VazquezArquimea Research Centre, Universidad Politécnica de MadridПотвърден имейл адрес: upm.es
Luis BaumelaDepartamento de Inteligencia Artificial, Universidad Politécnica de MadridПотвърден имейл адрес: fi.upm.es
Yuval ShaharProfessor of software and information systems engineering, Ben Gurion UniversityПотвърден имейл адрес: bgu.ac.il
Sascha OssowskiUniversity Rey Juan CarlosПотвърден имейл адрес: urjc.es
Stephen MuggletonImperial College LondonПотвърден имейл адрес: imperial.ac.uk
Eduardo C. Garrido-MerchánAssistant Professor of the Quantitative Methods Department, ICADE. Universidad Pontificia ComillasПотвърден имейл адрес: icade.comillas.edu
JOSE LUIS SIERRA RODRIGUEZAssociate Professor. Leader of the ILSA Research GroupПотвърден имейл адрес: ucm.es
Nick BassiliadesProfessor, School of Informatics, Aristotle University of Thessaloniki, GreeceПотвърден имейл адрес: csd.auth.gr

Следене

Martin Molina

Professor at Technical University of Madrid (UPM)

Потвърден имейл адрес: upm.es - Начална страница

Artificial intelligence Intelligent systems


Заглавие Сортиране по цитати Сортиране по година Сортиране по заглавие	Позовавания Позовавания	Година
Natural user interfaces for human-drone multi-modal interaction RAS Fernandez, JL Sanchez-Lopez, C Sampedro, H Bavle, M Molina, ... 2016 International Conference on Unmanned Aircraft Systems (ICUAS), 1013-1022, 2016	205	2016
AEROSTACK: An architecture and open-source software framework for aerial robotics JL Sanchez-Lopez, RAS Fernández, H Bavle, C Sampedro, M Molina, ... 2016 International Conference on Unmanned Aircraft Systems (ICUAS), 332-341, 2016	119	2016
Knowledge-based models for adaptive traffic management systems J Cuena, J Hernández, M Molina Transportation Research Part C: Emerging Technologies 3 (5), 311-337, 1995	108	1995
A Real-Time 3D Path Planning Solution for Collision-Free Navigation of Multirotor Aerial Robots in Dynamic Environments JL Sanchez-Lopez, M Wang, MA Olivares-Mendez, M Molina, H Voos Journal of Intelligent & Robotic Systems 93 (1-2), 33-53, 2019	101	2019
A flexible and dynamic mission planning architecture for UAV swarm coordination C Sampedro, H Bavle, JL Sanchez-Lopez, RAS Fernández, ... 2016 International Conference on Unmanned Aircraft Systems (ICUAS), 355-363, 2016	99	2016
A multi-layered component-based approach for the development of aerial robotic systems: The aerostack framework JL Sanchez-Lopez, M Molina, H Bavle, C Sampedro, RAS Fernández, ... Journal of Intelligent & Robotic Systems 88 (2), 683-709, 2017	94	2017
A multinational SDI-based system to facilitate disaster risk management in the Andean Community M Molina, S Bayarri Computers & Geosciences 37 (9), 1501-1510, 2011	62	2011
Characterization of Industry 4.0 Lean Management Problem-Solving Behavioral Patterns Using EEG Sensors and Deep Learning J Villalba-Diez, X Zheng, D Schmidt, M Molina Sensors 19 (13), 2841, 2019	53	2019
KSM: an environment for design of structured knowledge models J Cuena, M Molina Knowledge-based systems: Advanced concepts, techniques and applications, 217-245, 1997	50	1997
Fast Multi-UAV Path Planning for Optimal Area Coverage in Aerial Sensing Applications MA Luna, MS Ale Isaac, AR Ragab, P Campoy, P Flores Peña, M Molina Sensors 22 (6), 2297, 2022	47	2022
Industry 4.0 Lean Shopfloor Management Characterization Using EEG Sensors and Deep Learning D Schmidt, J Villalba Diez, J Ordieres-Meré, R Gevers, J Schwiep, ... Sensors 20 (10), 2860, 2020	44	2020
The role of knowledge modelling techniques in software development: a general approach based on a knowledge management tool J Cuena, M Molina International Journal of Human-Computer Studies 52 (3), 385-421, 2000	44	2000
A structure of problem solving methods for real time decision support in traffic control M Molina, JZ Hernández, J Cuena International Journal of Human Computer Studies, 1998	43	1998
Knowledge oriented design of an application for real time traffic management: the TRYS system J Cuena, J Hernández, M Molina European Conference on Artificial Intelligence (12th: 1996: Budapest …, 1996	43	1996
Knowledge-based spatiotemporal linear abstraction Y Shahar, M Molina Pattern Analysis and Applications 1, 91-104, 1998	40	1998
Detecting traffic problems with ILP S Dzeroski, N Jacobs, M Molina, C Moure, S Muggleton, W Van Laer Proceedings of the Eighth International Conference on Inductive Logic …, 1998	40*	1998
A multi-agent system for emergency decision support M Molina, G Blasco International Conference on Intelligent Data Engineering and Automated …, 2003	39	2003
Probabilistic forecasts using Bayesian networks calibrated with deterministic rainfall-runoff models L Garrote, M Molina, L Mediero Extreme hydrological events: new concepts for security, 173-183, 2007	38	2007
Geometric Deep Lean Learning: Deep Learning in Industry 4.0 Cyber–Physical Complex Networks J Villalba-Díez, M Molina, J Ordieres-Meré, S Sun, D Schmidt, ... Sensors 20 (3), 763, 2020	37	2020
Real-time traffic management through knowledge-based models: The TRYS approach J Hernández, J Cuena, M Molina ERUDIT Tutorial on Intelligent Traffic Management Models, Helsinki, Finland, 1999	37	1999

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