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Allan De Freitas
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2020 – today
- 2024
- [j9]Albert Selebea Lutakamale
, Herman C. Myburgh, Allan De Freitas:
RSSI-based fingerprint localization in LoRaWAN networks using CNNs with squeeze and excitation blocks. Ad Hoc Networks 159: 103486 (2024) - [j8]Albert Selebea Lutakamale
A hybrid convolutional neural network-transformer method for received signal strength indicator fingerprinting localization in Long Range Wide Area Network. Eng. Appl. Artif. Intell. 133: 108349 (2024) - [j7]Alexander Loubser
End-to-end automated speech recognition using a character based small scale transformer architecture. Expert Syst. Appl. 252: 124119 (2024) - 2023
- [j6]Gary I. Summerfield
Automated Cow Body Condition Scoring Using Multiple 3D Cameras and Convolutional Neural Networks. Sensors 23(22): 9051 (2023) - [c17]Anne-Laure Jousselme, Johan Pieter de Villiers, Allan De Freitas, Erik Blasch, Valentina Dragos, Gregor Pavlin, Paulo C. G. Costa, Kathryn B. Laskey, Claire Laudy:
Uncertain about ChatGPT: enabling the uncertainty evaluation of large language models. FUSION 2023: 1-8 - 2022
- [j5]Adolfo Almeida
The complementarity of a diverse range of deep learning features extracted from video content for video recommendation. Expert Syst. Appl. 192: 116335 (2022) - [c16]P. Nell, Allan De Freitas, Gregor Pavlin, Johan Pieter de Villiers:
Particle-balanced context-based filtering for hypothesis maintenance in sparse sensor coverage situations. FUSION 2022: 1-7 - 2021
- [c15]Nicholas Pym, Allan De Freitas:
An embedded platform approach to privacy-centric person re-identification. FUSION 2021: 1-8 - 2020
- [j4]Ke Zou
Track-to-Track Association for Intelligent Vehicles by Preserving Local Track Geometry. Sensors 20(5): 1412 (2020) - [c14]Adolfo Almeida, Johan Pieter de Villiers, Allan De Freitas, Mergandran Velayudan
Visual comparison of statistical feature aggregation methods for video-based similarity applications. FUSION 2020: 1-8 - [c13]Bianca A. Ferreira, Johan Pieter de Villiers, Allan De Freitas:
Dashcam based wildlife detection and classification using fused data sets of digital photographic and simulated imagery. FUSION 2020: 1-8 - [i1]Adolfo Almeida, Johan Pieter de Villiers, Allan De Freitas, Mergandran Velayudan:
Exploring the multimodal information from video content using deep learning features of appearance, audio and action for video recommendation. CoRR abs/2011.10834 (2020)
2010 – 2019
- 2019
- [j3]Allan De Freitas
A Box Particle Filter Method for Tracking Multiple Extended Objects. IEEE Trans. Aerosp. Electron. Syst. 55(4): 1640-1655 (2019) - [j2]Waqas Aftab
Spatio-Temporal Gaussian Process Models for Extended and Group Object Tracking With Irregular Shapes. IEEE Trans. Veh. Technol. 68(3): 2137-2151 (2019) - [c12]Hao Zhu, Chunxia Tang, Allan De Freitas, Lyudmila Mihaylova:
A Maximum Likelihood Approach to Joint Groupwise Image Registration and Fusion by a Student-$t$ Mixture Model. FUSION 2019: 1-7 - [c11]Allan De Freitas, Richard W. Focke, Conrad Beyers, Johan Pieter de Villiers:
Global Optimization for Resource Allocation in a Networked-Surveillance Radar. FUSION 2019: 1-8 - 2018
- [c10]Waqas Aftab, Allan De Freitas, Mahnaz Arvaneh, Lyudmila Mihaylova:
A Gaussian Process Convolution Particle Filter for Multiple Extended Objects Tracking with Non-Regular Shapes. FUSION 2018: 1-8 - [c9]Allan De Freitas, Richard W. Focke
Response Surface Modeling for Networked Radar Resource Allocation. FUSION 2018: 1-7 - 2017
- [c8]Allan De Freitas, Carsten Fritsche, Lyudmila Mihaylova, Fredrik Gunnarsson:
A novel measurement processing approach to the parallel expectation propagation unscented Kalman filter. FUSION 2017: 1-6 - [c7]Waqas Aftab, Allan De Freitas, Mahnaz Arvaneh, Lyudmila Mihaylova:
A Gaussian process approach for extended object tracking with random shapes and for dealing with intractable likelihoods. DSP 2017: 1-5 - [c6]James A. Douthwaite, Allan De Freitas, Lyudmila S. Mihaylova:
An interval approach to multiple unmanned aerial vehicle collision avoidance. SDF 2017: 1-8 - [c5]Muhammad Altamash Khan, Allan De Freitas, Lyudmila Mihaylova, Martin Ulmke, Wolfgang Koch:
Bayesian processing of big data using log homotopy based particle flow filters. SDF 2017: 1-6 - 2016
- [j1]Allan De Freitas, Lyudmila Mihaylova
Autonomous crowds tracking with box particle filtering and convolution particle filtering. Autom. 69: 380-394 (2016) - [c4]Allan De Freitas, Lyudmila Mihaylova:
Dealing with massive data with a distributed expectation propagation particle filter for object tracking. FUSION 2016: 457-463 - 2015
- [c3]Allan De Freitas, François Septier, Lyudmila Mihaylova, Simon J. Godsill:
How can subsampling reduce complexity in sequential MCMC methods and deal with big data in target tracking? FUSION 2015: 134-141 - 2014
- [c2]Nikolay Petrov, Lyudmila Mihaylova, Allan De Freitas, Amadou Gning:
Crowd tracking with box particle filtering. FUSION 2014: 1-7 - 2012
- [c1]Allan De Freitas, Johan Pieter de Villiers:
Multiple scatterer tracking in high range resolution radar. FUSION 2012: 1683-1688
Coauthor Index
aka: Lyudmila S. Mihaylova
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last updated on 2024-08-23 18:31 CEST by the dblp team
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