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Johan Pieter de Villiers
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2020 – today
- 2024
- [j14]Alexander Loubser, Johan Pieter de Villiers, Allan De Freitas:
End-to-end automated speech recognition using a character based small scale transformer architecture. Expert Syst. Appl. 252: 124119 (2024) - [j13]Paul J. Claasen, Johan Pieter de Villiers:
Video-based sequential Bayesian homography estimation for soccer field registration. Expert Syst. Appl. 252: 124156 (2024) - 2023
- [c39]Erik Blasch, Anne-Laure Jousselme, Kathryn B. Laskey, Paulo C. G. Costa, Johan Pieter de Villiers, Gregor Pavlin, Claire Laudy:
URREF Risk analysis towards Data Fusion Certification. FUSION 2023: 1-8 - [c38]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 - [c37]Gregor Pavlin, Kathryn B. Laskey, Franck Mignet, Filip S. Slijkhuis, Erik Blasch, Valentina Dragos, Johan Pieter de Villiers, Lennard Jansen:
Qualitative Models of Data Generation Processes: Facilitating Data-Intensive AI Solutions. FUSION 2023: 1-8 - [i5]Paul J. Claasen, Johan Pieter de Villiers:
Video-based Sequential Bayesian Homography Estimation for Soccer Field Registration. CoRR abs/2311.10361 (2023) - 2022
- [j12]Adolfo Almeida, Johan Pieter de Villiers, Allan De Freitas, Mergandran Velayudan:
The complementarity of a diverse range of deep learning features extracted from video content for video recommendation. Expert Syst. Appl. 192: 116335 (2022) - [j11]Nicholas Blomerus, Jacques Cilliers, Willie Nel, Erik Blasch, Johan Pieter de Villiers:
Feedback-Assisted Automatic Target and Clutter Discrimination Using a Bayesian Convolutional Neural Network for Improved Explainability in SAR Applications. Remote. Sens. 14(23): 6096 (2022) - [c36]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 - [c35]Gregor Pavlin, Johan Pieter de Villiers, Kathryn B. Laskey, Franck Mignet, Lennard Jansen:
Continuous Model Evaluation and Adaptation to Distribution Shifts: A Probabilistic Self-Supervised Approach. FUSION 2022: 1-8 - [i4]Moseli Mots'oehli, Anna Sergeevna Bosman, Johan Pieter de Villiers:
Comparision Of Adversarial And Non-Adversarial LSTM Music Generative Models. CoRR abs/2211.00731 (2022) - 2021
- [j10]Arno Botha, Conrad Beyers, Johan Pieter de Villiers:
Simulation-based optimisation of the timing of loan recovery across different portfolios. Expert Syst. Appl. 177: 114878 (2021) - [c34]Erik Philip Blasch, Johan Pieter de Villiers, Gregor Pavin, Anne-Laure Jousselme, Paulo C. G. Costa, Kathryn B. Laskey, Jurgen Ziegler:
Use of the URREF towards Information Fusion Accountability Evaluation. FUSION 2021: 1-8 - [c33]Nicholas Blomerus, Johan Pieter de Villiers, Willie Nel:
Improved Explainability through Uncertainty Estimation in Automatic Target Recognition of SAR Images. FUSION 2021: 1-6 - [c32]Gregor Pavlin, Johan Pieter de Villiers, Jürgen Ziegler, Anne-Laure Jousselme, Paulo C. G. Costa, Kathryn B. Laskey, Alta de Waal, Erik Blasch, Lennard Jansen:
Relations Between Explainability, Evaluation and Trust in AI-Based Information Fusion Systems. FUSION 2021: 1-9 - [c31]Johan Pieter de Villiers, Gregor Pavlin, Jürgen Ziegler, Anne-Laure Jousselme, Paulo C. G. Costa, Eric Blasch, Kathryn B. Laskey, Claire Laudy, Alta de Waal, Jin-Hee Cho:
Uncertainty Evaluation of Temporal Trust in a Fusion System Using the URREF Ontology. FUSION 2021: 1-8 - 2020
- [c30]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 - [c29]Seffat M. Chowdhury, Johan Pieter de Villiers:
Extended Rigid Multi-Target Tracking in Dense Point Clouds with Probabilistic Occlusion Reasoning. FUSION 2020: 1-8 - [c28]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 - [c27]J. H. Mervitz, Johan Pieter de Villiers, J. P. Jacobs, M. H. O. Kloppers:
Comparison of early and late fusion techniques for movie trailer genre labelling. FUSION 2020: 1-8 - [c26]Lisa-Ann Kirkland, Alta de Waal, Johan Pieter de Villiers:
Evaluation of a Pure-Strategy Stackelberg Game for Wildlife Security in a Geospatial Framework. SACAIR 2020: 101-118 - [i3]Joel Janek Dabrowski, Johan Pieter de Villiers, Ashfaqur Rahman, Conrad Beyers:
Deep Learning and Statistical Models for Time-Critical Pedestrian Behaviour Prediction. CoRR abs/2002.11226 (2020) - [i2]Jocelyn Mazarura, Alta de Waal, Johan Pieter de Villiers:
A Gamma-Poisson Mixture Topic Model for Short Text. CoRR abs/2004.11464 (2020) - [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
- [c25]Erik Philip Blasch, Carlos C. Insaurralde, Paulo C. G. Costa, Alta de Waal, Johan Pieter de Villiers:
Uncertainty Ontology for Veracity and Relevance. FUSION 2019: 1-8 - [c24]Valentina Dragos, Jürgen Ziegler, Johan Pieter de Villiers, Alta de Waal, Anne-Laure Jousselme, Erik Blasch:
Entropy-Based Metrics for URREF Criteria to Assess Uncertainty in Bayesian Networks for Cyber Threat Detection. FUSION 2019: 1-8 - [c23]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 - [c22]Lisa Kirkland, Alta de Waal, Johan Pieter de Villiers:
Simulating Null Games for Uncertainty Evaluation in Green Security Games. FUSION 2019: 1-8 - [c21]Gregor Pavlin, Anne-Laure Jousselme, Johan Pieter de Villiers, Paulo C. G. Costa, Kathryn B. Laskey, Franck Mignet, Alta de Waal:
Online System Evaluation and Learning of Data Source Models: a Probabilistic Generative Approach. FUSION 2019: 1-10 - [c20]Joel Janek Dabrowski, Johan Pieter de Villiers, Ashfaqur Rahman, Conrad Beyers:
Deep Learning and Statistical Models for Time-Critical Pedestrian Behaviour Prediction. ICONIP (4) 2019: 458-465 - [c19]Jocelyn Mazarura, Alta de Waal, Johan Pieter de Villiers:
Semantic representations for under-resourced languages. SAICSIT 2019: 24:1-24:10 - 2018
- [j9]W. D. van Eeden, Johan Pieter de Villiers, Robert John Berndt, Willem A. J. Nel, Erik Blasch:
Micro-Doppler radar classification of humans and animals in an operational environment. Expert Syst. Appl. 102: 1-11 (2018) - [j8]Joel Janek Dabrowski, Johan Pieter de Villiers, Conrad Beyers:
Naïve Bayes switching linear dynamical system: A model for dynamic system modelling, classification, and information fusion. Inf. Fusion 42: 75-101 (2018) - [c18]Allan De Freitas, Richard W. Focke, Johan Pieter de Villiers:
Response Surface Modeling for Networked Radar Resource Allocation. FUSION 2018: 1-7 - [c17]Valentina Dragos, Jürgen Ziegler, Johan Pieter de Villiers:
Application of URREF Criteria to Assess Knowledge Representation in Cyber Threat Models. FUSION 2018: 664-671 - [c16]Gregor Pavlin, Anne-Laure Jousselme, Johan Pieter de Villiers, Paulo C. G. Costa, Patrick de Oude:
Towards the Rational Development and Evaluation of Complex Fusion Systems: A URREF-Driven Approach. FUSION 2018: 679-687 - [c15]Patrick de Oude, Gregor Pavlin, Johan Pieter de Villiers:
High-Level Tracking Using Bayesian Context Fusion. FUSION 2018: 1415-1422 - 2017
- [j7]Joel Janek Dabrowski, Johan Pieter de Villiers, Conrad Beyers:
Context-based behaviour modelling and classification of marine vessels in an abalone poaching situation. Eng. Appl. Artif. Intell. 64: 95-111 (2017) - [c14]Johan Pieter de Villiers, Richard W. Focke, Gregor Pavlin, Anne-Laure Jousselme, Valentina Dragos, Kathryn Blackmond Laskey, Paulo C. G. Costa, Erik Blasch:
Evaluation metrics for the practical application of URREF ontology: An illustration on data criteria. FUSION 2017: 1-8 - [c13]Johan Pieter de Villiers, Gregor Pavlin, Paulo C. G. Costa, Anne-Laure Jousselme, Kathryn Blackmond Laskey, Valentina Dragos, Erik Blasch:
Subjects under evaluation with the URREF ontology. FUSION 2017: 1-8 - 2016
- [j6]Joel Janek Dabrowski, Conrad Beyers, Johan Pieter de Villiers:
Systemic banking crisis early warning systems using dynamic Bayesian networks. Expert Syst. Appl. 62: 225-242 (2016) - [c12]Erik Blasch, Paulo C. G. Costa, Johan Pieter de Villiers, Kathryn B. Laskey, James Llinas, Anne-Laure Jousselme:
Pragmatic data fusion uncertainty concerns: Tribute to Dave L. Hall. FUSION 2016: 472-479 - [c11]Richard W. Focke, Johan Pieter de Villiers, Michael R. Inggs:
Speeding up IA mechanically-steered multistatic radar scheduling with GP-GPUs. FUSION 2016: 643-650 - [c10]Johan Pieter de Villiers, Anne-Laure Jousselme, Alta de Waal, Gregor Pavlin, Kathryn B. Laskey, Erik Blasch, Paulo C. G. Costa:
Uncertainty evaluation of data and information fusion within the context of the decision loop. FUSION 2016: 766-773 - [c9]Alta de Waal, Hildegarde Koen, Johan Pieter de Villiers, Henk Roodt, Nyalleng Moorosi, Gregor Pavlin:
Construction and evaluation of Bayesian networks with expert-defined latent variables. FUSION 2016: 774-781 - [c8]Rik Claessens, Alta de Waal, Johan Pieter de Villiers, Ate Penders, Gregor Pavlin, Karl Tuyls:
Bayesian Inference in Dynamic Domains using Logical OR Gates. ICEIS (2) 2016: 134-142 - 2015
- [j5]Joel Janek Dabrowski, Johan Pieter de Villiers:
A unified model for context-based behavioural modelling and classification. Expert Syst. Appl. 42(19): 6738-6757 (2015) - [j4]Richard W. Focke, Johan Pieter de Villiers, Michael R. Inggs:
Interval Algebra - An effective means of scheduling surveillance radar networks. Inf. Fusion 23: 81-98 (2015) - [j3]Joel Janek Dabrowski, Johan Pieter de Villiers:
Maritime piracy situation modelling with dynamic Bayesian networks. Inf. Fusion 23: 116-130 (2015) - [c7]Rik Claessens, Alta de Waal, Johan Pieter de Villiers, Ate Penders, Gregor Pavlin, Karl Tuyls:
Multi-Agent Target Tracking using Particle Filters enhanced with Context Data: (Demonstration). AAMAS 2015: 1933-1934 - [c6]Johan Pieter de Villiers, Kathryn B. Laskey, Anne-Laure Jousselme, Erik Blasch, Alta de Waal, Gregor Pavlin, Paulo Cesar G. da Costa:
Uncertainty representation, quantification and evaluation for data and information fusion. FUSION 2015: 50-57 - 2014
- [c5]Hildegarde Koen, Johan Pieter de Villiers, Gregor Pavlin, Alta de Waal, Patrick de Oude, Franck Mignet:
A framework for inferring predictive distributions of rhino poaching events through causal modelling. FUSION 2014: 1-7 - [c4]Johan Pieter de Villiers, Gregor Pavlin, Paulo Cesar G. da Costa, Kathryn B. Laskey, Anne-Laure Jousselme:
A URREF interpretation of Bayesian network information fusion. FUSION 2014: 1-8 - 2013
- [c3]Lynette Jean van der Merwe, Johan Pieter de Villiers:
Track-stitching using graphical models and message passing. FUSION 2013: 758-765 - 2012
- [j2]T. Heyns, Johan Pieter de Villiers, P. Stephan Heyns:
Consistent haul road condition monitoring by means of vehicle response normalisation with Gaussian processes. Eng. Appl. Artif. Intell. 25(8): 1752-1760 (2012) - [c2]Allan De Freitas, Johan Pieter de Villiers:
Multiple scatterer tracking in high range resolution radar. FUSION 2012: 1683-1688 - 2011
- [c1]Richard W. Focke, L. O. Wabeke, Johan Pieter de Villiers, Michael R. Inggs:
Implementing Interval Algebra to schedule mechanically scanned multistatic radars. FUSION 2011: 1-7
2000 – 2009
- 2004
- [j1]Johan Pieter de Villiers, L. P. Linde:
On the convexity of the LCCM cost function for DS-CDMA blind multiuser detection. IEEE Commun. Lett. 8(6): 351-353 (2004)
Coauthor Index
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last updated on 2024-08-23 19:24 CEST by the dblp team
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