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João Filipe Ferreira
Person information
- affiliation: Nottingham Trent University, Clifton Campus, UK
- affiliation (PhD 2011): University of Coimbra, Portugal
Other persons with the same name
- João F. Ferreira 0001 (aka: João Fernando Ferreira) — University of Lisbon, Instituto Superior Técnico, Portugal (and 2 more)
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2020 – today
- 2024
- [j16]Ana Nunes, Pedro Serranho, Pedro Guimarães, João F. Ferreira, Miguel Castelo-Branco, Rui Bernardes:
When Sex Matters: Differences in the Central Nervous System as Imaged by OCT through the Retina. J. Imaging 10(1): 6 (2024) - [j15]Afonso E. Carvalho, João Filipe Ferreira, David Portugal:
3D traversability analysis and path planning based on mechanical effort for UGVs in forest environments. Robotics Auton. Syst. 171: 104560 (2024) - [j14]Habibu Mukhandi, João Filipe Ferreira, Paulo Peixoto:
SyS3DS: Systematic Sampling of Large-Scale LiDAR Point Clouds for Semantic Segmentation in Forestry Robotics. Sensors 24(3): 823 (2024) - [j13]Alicia Falcon-Caro, Sepehr Shirani, João Filipe Ferreira, Jordan J. Bird, Saeid Sanei:
Formulation of Common Spatial Patterns for Multi-Task Hyperscanning BCI. IEEE Trans. Biomed. Eng. 71(6): 1950-1957 (2024) - 2023
- [j12]João Filipe Ferreira, David Portugal, Maria Eduarda Andrada, Pedro Machado, Rui P. Rocha, Paulo Peixoto:
Sensing and Artificial Perception for Robots in Precision Forestry: A Survey. Robotics 12(5): 139 (2023) - [j11]Mário P. Cristóvão, David Portugal, Afonso E. Carvalho, João Filipe Ferreira:
A LiDAR-Camera-Inertial-GNSS Apparatus for 3D Multimodal Dataset Collection in Woodland Scenarios. Sensors 23(15): 6676 (2023) - [j10]Pedro Machado, João Filipe Ferreira, Andreas Oikonomou, T. M. McGinnity:
NeuroHSMD: Neuromorphic Hybrid Spiking Motion Detector. ACM Trans. Reconfigurable Technol. Syst. 16(3): 36:1-36:23 (2023) - 2022
- [c23]Afonso E. Carvalho, João Filipe Ferreira, David Portugal:
3D Traversability Analysis in Forest Environments Based on Mechanical Effort. IAS 2022: 244-256 - [c22]Maria Eduarda Andrada, João F. Ferreira, David Portugal, Micael S. Couceiro:
Integration of an Artificial Perception System for Identification of Live Flammable Material in Forestry Robotics. SII 2022: 103-108 - 2021
- [j9]Pedro Machado, Andreas Oikonomou, João Filipe Ferreira, T. Martin McGinnity:
HSMD: An Object Motion Detection Algorithm Using a Hybrid Spiking Neural Network Architecture. IEEE Access 9: 125258-125268 (2021) - [i2]Pedro Machado, Andreas Oikonomou, João Filipe Ferreira, T. M. McGinnity:
HSMD: An object motion detection algorithm using a Hybrid Spiking Neural Network Architecture. CoRR abs/2109.04119 (2021) - 2020
- [c21]David Portugal, João Filipe Ferreira, Micael S. Couceiro:
Requirements Specification and Integration Architecture for Perception in a Cooperative Team of Forestry Robots. TAROS 2020: 329-344
2010 – 2019
- 2019
- [c20]Samuel Brandenburg, Pedro Machado, Pranjali Shinde, João Filipe Ferreira, T. Martin McGinnity:
Object Classification for Robotic Platforms. ROBOT (2) 2019: 199-210 - [c19]Micael S. Couceiro, David Portugal, João Filipe Ferreira, Rui P. Rocha:
SEMFIRE: Towards a new generation of forestry maintenance multi-robot systems. SII 2019: 270-276 - [c18]Gonçalo S. Martins, João Filipe Ferreira, David Portugal, Micael S. Couceiro:
MoDSeM: Towards Semantic Mapping with Distributed Robots. TAROS (2) 2019: 131-142 - 2017
- [j8]Pablo Lanillos, João Filipe Ferreira, Jorge Dias:
A Bayesian hierarchy for robust gaze estimation in human-robot interaction. Int. J. Approx. Reason. 87: 1-22 (2017) - [j7]Jorge Lobo, João Filipe Ferreira:
Unconventional computing for Bayesian inference. Int. J. Approx. Reason. 88: 306-308 (2017) - [j6]Ricardo Martins, João Filipe Ferreira, Miguel Castelo-Branco, Jorge Dias:
Integration of touch attention mechanisms to improve the robotic haptic exploration of surfaces. Neurocomputing 222: 204-216 (2017) - 2016
- [c17]Hugo Fernandes, M. Awais Aslam, Jorge Lobo, João Filipe Ferreira, Jorge Dias:
Bayesian inference implemented on FPGA with stochastic bitstreams for an autonomous robot. FPL 2016: 1-4 - 2015
- [c16]Pablo Lanillos, João Filipe Ferreira, Jorge Dias:
Designing an artificial attention system for social robots. IROS 2015: 4171-4178 - [c15]Beatriz Oliveira, Pablo Lanillos, João Filipe Ferreira:
Gaze Tracing in a Bounded Log-Spherical Space for Artificial Attention Systems. ROBOT (2) 2015: 407-419 - 2014
- [b1]João Filipe Ferreira, Jorge Dias:
Probabilistic Approaches to Robotic Perception. Springer Tracts in Advanced Robotics 91, Springer 2014, ISBN 978-3-319-02005-1, pp. 3-232 - [j5]João Filipe Ferreira, Jorge Dias:
Attentional Mechanisms for Socially Interactive Robots-A Survey. IEEE Trans. Auton. Ment. Dev. 6(2): 110-125 (2014) - [c14]Ricardo Martins, João Filipe Ferreira, Jorge Dias:
Touch attention Bayesian models for robotic active haptic exploration of heterogeneous surfaces. IROS 2014: 1208-1215 - [i1]Ricardo Martins, João Filipe Ferreira, Jorge Dias:
Touch attention Bayesian models for robotic active haptic exploration of heterogeneous surfaces. CoRR abs/1409.6226 (2014) - 2013
- [j4]João Filipe Ferreira, Jorge Lobo, Pierre Bessière, Miguel Castelo-Branco, Jorge Dias:
A Bayesian Framework for Active Artificial Perception. IEEE Trans. Cybern. 43(2): 699-711 (2013) - 2012
- [j3]João Filipe Ferreira, Miguel Castelo-Branco, Jorge Dias:
A hierarchical Bayesian framework for multimodal active perception. Adapt. Behav. 20(3): 172-190 (2012) - [j2]João Filipe Ferreira, Christiana Tsiourti, Jorge Dias:
Learning emergent behaviours for a hierarchical Bayesian framework for active robotic perception. Cogn. Process. 13(Supplement-1): 155-159 (2012) - [c13]Jorge Lobo, João Filipe Ferreira, Pedro Trindade, Jorge Dias:
Bayesian 3D independent motion segmentation with IMU-aided RBG-D sensor. MFI 2012: 445-450 - 2011
- [j1]João Filipe Ferreira, Jorge Lobo, Jorge Dias:
Bayesian real-time perception algorithms on GPU - Real-time implementation of Bayesian models for multimodal perception using CUDA. J. Real Time Image Process. 6(3): 171-186 (2011) - 2010
- [c12]Hadi Aliakbarpour, João Filipe Ferreira, Kamrad Khoshhal, Jorge Dias:
A Novel Framework for Data Registration and Data Fusion in Presence of Multi-modal Sensors. DoCEIS 2010: 308-315
2000 – 2009
- 2008
- [c11]João Filipe Ferreira, Cátia M. R. Pinho, Jorge Dias:
Active Exploration Using Bayesian Models for Multimodal Perception. ICIAR 2008: 369-378 - [c10]Rui P. Rocha, João Filipe Ferreira, Jorge Dias:
Multi-robot complete exploration using hill climbing and topological recovery. IROS 2008: 1884-1889 - [c9]Jorge Lobo, João Filipe Ferreira, José Augusto Prado, Jorge Dias:
Robotic implementation of biological Bayesian models for visuo-inertial image stabilization and gaze control. IROS 2008: 4203 - [c8]João Filipe Ferreira, Ivone Amorim, Rui P. Rocha, Jorge Dias:
T-SLAM: Registering topological and geometric maps for robot localization in large environments. MFI 2008: 392-398 - [c7]Jorge Lobo, João Filipe Ferreira, Jorge Dias:
Robotic implementation of biological bayesian models towards visuo-inertial image stabilization and gaze control. ROBIO 2008: 443-448 - [c6]João Filipe Ferreira, Cátia M. R. Pinho, Jorge Dias:
Implementation and calibration of a Bayesian binaural system for 3D localisation. ROBIO 2008: 1722-1727 - 2006
- [c5]Pedro Baptista, João Filipe Ferreira, Rui Bernardes, Jorge Dias, José Cunha-Vaz:
Multimodal macula mapping by deformable image registration. CompIMAGE 2006: 85-89 - [c4]João Filipe Ferreira, Vítor Santos, Jorge Dias:
Integration of Multiple Sensors using Binary Features in a Bernoulli Mixture Model. MFI 2006: 104-109 - 2005
- [c3]João Filipe Ferreira, Jorge Dias:
Three-Dimensional Planar Profile Registration in 3D Scanning. ICIAR 2005: 617-624 - [c2]João Filipe Ferreira, Vítor Santos, Jorge Dias:
A low-level framework for a probabilistic treatment of the topological description of a robot mission. IROS 2005: 3421-3426 - 2002
- [c1]João Filipe Ferreira, Jorge Lobo, Jorge Dias:
Tele-3D - Developing a Handheld Scanner Using Structured Light Projection. 3DPVT 2002: 788-793
Coauthor Index
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last updated on 2024-08-05 21:24 CEST by the dblp team
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