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Journal Articles
- 2024
[j3]Claudio Jardim
, Alta de Waal, Inger Fabris-Rotelli, Najmeh Nakhaei Rad, Jocelyn Mazarura, Dean Sherry:
Feature engineered embeddings for classification of molecular data. Comput. Biol. Chem. 110: 108056 (2024)- 2022
- [j2]Alta de Waal, Johan W. Joubert:
Explainable Bayesian networks applied to transport vulnerability. Expert Syst. Appl. 209: 118348 (2022) - 2014
- [j1]Nic J. de Vries, Marelie H. Davel, Jaco Badenhorst, Willem D. Basson, Febe de Wet, Etienne Barnard, Alta de Waal:
A smartphone-based ASR data collection tool for under-resourced languages. Speech Commun. 56: 119-131 (2014)
Conference and Workshop Papers
- 2022
- [c27]Danie Smit, Sunet Eybers, Alta de Waal:
A data analytics organisation's perspective on the technical enabling factors for organisational AI adoption. AMCIS 2022 - [c26]Danie Smit, Sunet Eybers, Nhlanhla Sibanyoni, Alta de Waal:
Technology Days: An AI Democratisation Journey Begins with a Single Step. SACAIR 2022: 335-347 - [c25]Danie Smit, Sunet Eybers, Alta de Waal, René Wies:
The Quest to Become a Data-Driven Entity: Identification of Socio-enabling Factors of AI Adoption. WorldCIST (1) 2022: 589-599 - 2021
- [c24]Stefan Lotz, Alta de Waal, Colette le Roux:
Estimation of copulas between solar wind parameters and a geomagnetic index during intense geomagnetic storms. FUSION 2021: 1-8 - [c23]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 - [c22]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
- [c21]Alta de Waal, Carl Steyn:
Uncertainty measurements in neural network predictions for classification tasks. FUSION 2020: 1-7 - [c20]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 - [c19]Iena Petronella Derks, Alta de Waal:
A Taxonomy of Explainable Bayesian Networks. SACAIR 2020: 220-235 - 2019
- [c18]Zach Wolpe, Alta de Waal:
Autoencoding variational Bayes for latent Dirichlet allocation. FAIR 2019: 25-36 - [c17]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 - [c16]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 - [c15]Lisa Kirkland, Alta de Waal, Johan Pieter de Villiers:
Simulating Null Games for Uncertainty Evaluation in Green Security Games. FUSION 2019: 1-8 - [c14]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 - [c13]Jocelyn Mazarura, Alta de Waal, Johan Pieter de Villiers:
Semantic representations for under-resourced languages. SAICSIT 2019: 24:1-24:10 - 2018
- [c12]Alta de Waal, Keunyoung Yoo:
Latent Variable Bayesian Networks Constructed Using Structural Equation Modelling. FUSION 2018: 688-695 - 2016
- [c11]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 - [c10]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 - [c9]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
- [c8]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 - [c7]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
- [c6]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 - 2012
- [c5]Jaco Badenhorst, Alta de Waal, Febe de Wet:
Quality measurements for mobile data collection in the developing world. SLTU 2012: 139-145 - 2011
- [c4]Nic J. de Vries, Jaco Badenhorst, Marelie H. Davel, Etienne Barnard, Alta de Waal:
Woefzela - An Open-Source Platform for ASR Data Collection in the Developing World. INTERSPEECH 2011: 3177-3180 - [c3]Febe de Wet, Alta de Waal, Gerhard B. Van Huyssteen:
Developing a Broadband Automatic Speech Recognition System for Afrikaans. INTERSPEECH 2011: 3185-3188 - 2008
- [c2]Alta de Waal, Jacobus Venter, Etienne Barnard:
Applying Topic Modeling to Forensic Data. IFIP Int. Conf. Digital Forensics 2008: 115-126 - 2007
- [c1]Jacobus Venter, Alta de Waal, Cornelius Willers:
Specializing CRISP-DM for Evidence Mining. IFIP Int. Conf. Digital Forensics 2007: 303-315
Informal and Other Publications
- 2021
- [i2]Iena Petronella Derks, Alta de Waal:
A Taxonomy of Explainable Bayesian Networks. CoRR abs/2101.11844 (2021) - 2020
- [i1]Jocelyn Mazarura, Alta de Waal, Johan Pieter de Villiers:
A Gamma-Poisson Mixture Topic Model for Short Text. CoRR abs/2004.11464 (2020)
Coauthor Index
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