2024
Coenraad Mouton, Marthinus Wilhelmus Theunissen, and Marelie H. Davel. “Input margins can predict generalization too“. In Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence and Thirty-Sixth Conference on Innovative Applications of Artificial Intelligence and Fourteenth Symposium on Educational Advances in Artificial Intelligence (AAAI'24/IAAI'24/EAAI'24), Vol. 38. AAAI Press, Article 1603, 14379–14387.
Vincent le Roux, Marelie H. Davel, Johan Bosman, “Parsimonious airfoil Parameterisation: A deep learning framework with Bidirectional LSTM and Gaussian Mixture models”, Expert Systems with Applications, Volume 255, Part C, 2024.
Coenraad Mouton, Randle Rabe, Daniël Gerbrand Haasbroek, Marthinus Wilhelmus Theunissen, Hermanus Lambertus Potgieter, and Marelie Hattingh Davel. 2024. "Is Network Fragmentation a Useful Complexity Measure?" In NeurIPS 2024 Workshop on Scientific Methods for Understanding Deep Learning.
Simbarashe A. Ngorima, Albert S. J. Helberg and Marelie H. Davel "A Data Pilot-Aided Temporal Convolutional Network for Channel Estimation in IEEE 802.11p Vehicle-to-Vehicle Communications”, in Proc. Southern Africa Telecommunication Networks and Applications Conference (SATNAC 2024), pp 356-361, October 2024.
Simbarashe A. Ngorima, Albert S. J. Helberg and Marelie H. Davel, “Neural Network-based Vehicular Channel Estimation Performance: Effect of Noise in the Training Set”, Artificial Intelligence Research (SACAIR 2024), Communications in Computer and Information Science, Vol 2326, pp 192-206 December 2024.
Simon P. Ramalepe, Thipe I. Modipa and Marelie H. Davel, “Pre-training a Transformer-Based Generative Model Using a Small Sepedi Dataset”, Artificial Intelligence Research (SACAIR 2024), Communications in Computer and Information Science, Vol 2326, pp 319-333 December 2024.
Hermanus L. Potgieter, Coenraad Mouton and Marelie H. Davel, “Impact of Batch Normalization on Convolutional Network Representations”, Artificial Intelligence Research (SACAIR 2024), Communications in Computer and Information Science, Vol 2326, pp 235-252 December 2024.
William Brooks, Marelie H. Davel and Coenraad Mouton “Does simple trump complex? Comparing strategies for adversarial robustness in DNNs”, Artificial Intelligence Research (SACAIR 2024), Communications in Computer and Information Science, Vol 2326, pp 253-269 December 2024.
2023
Coenraad Middel and Marelie H. Davel, “Comparing Transformer-based and GBDT models on tabular data: A Rossmann Store Sales case study”, in Proc. Southern African Conference for AI Research (SACAIR), pp 115-129, December 2023.
Jan C. Olivier, Etienne Barnard, "Minimum phase finite impulse response filter design", IET Signal Processing, Vol 17, no 1, January 2023.
Marelie H. Davel, Stefan Lotz, Marthinus W. Theunissen, Almaro de Villiers, Chara Grant, Randle Rabe, Stefan Schoombie and Cleo Conacher, "Knowledge Discovery in Time Series Data", Deep Learning Indaba Conference, Ghana, September 2023
Marthinus W. Theunissen, Coenraad Mouton, Marelie H. Davel , “The Missing Margin: How Sample Corruption Affects Distance to the Boundary in ANNs”, Artificial Intelligence Research (SACAIR 2022), Communications in Computer and Information Science, Vol 1734, pp 78-92, November 2022.
Simbarashe A. Ngorima, Albert S. J. Helberg and Marelie H. Davel, “Sequence Based Deep Neural Networks for Channel Estimation in Vehicular Communication Systems”, Artificial Intelligence Research (SACAIR 2023), Communications in Computer and Information Science, Vol 1976, pp 172-186 December 2023.
Simon Ramalepe, Thipe I. Modipa and Marelie H. Davel, "The analysis of the Sepedi-English code-switched radio news corpus", Journal of the Digital Humanities Association of Southern Africa, Vol 4, no 1, February 2023.
Simon P. Ramalepe, Thipe I. Modipa and Marelie H. Davel, “Transformer-based text generation for code-switched Sepedi-English news”, in Proc. Southern African Conference for AI Research (SACAIR), pp 84-97, December 2023.
Stefan Lotz, Amore E. Nel, Robert T. Wicks, Owen W. Roberts, Nicholas E. Engelbrecht, Roelf D. Strauss, Gert J. J. Botha, Eduard P. Kontar, Alexander Pitňa and Stuart D. Bale, "The radial variation of the solar wind turbulence spectra near the kinetic break scale from Parker Solar Probe measurements", The Astrophysical Journal, Vol 942, no 2, January 2023.
2022
Edrich Fourie, Marelie H. Davel and Jaco Versfeld, "Neural speech processing for whale call detection", Artificial Intelligence Research (SACAIR 2022), Communications in Computer and Information Science, Vol 1734, pp 276-290, November 2022.
Walter Heymans, Marelie H. Davel and Charl van Heerden, "Multi-style training for South African call centre audio", Artificial Intelligence Research (SACAIR 2021), Communications in Computer and Information Science, Vol 1551, pp 111-124, January 2022.
Walter Heymans, Marelie H. Davel and Charl van Heerden, "Efficient acoustic feature transformation in mismatched environments using a Guided-GAN", Speech Communication, Vol 143, pp 10-20, September 2022.
Thipe Modipa and Marelie H. Davel, "Two Sepedi-English code-switched speech corpora", Language Resources and Evaluation, Vol 56, no 3, pp 703-727, September 2022.
Coenraad Mouton and Marelie H. Davel, "Exploring layerwise decision making in DNNs", Artificial Intelligence Research (SACAIR 2021), Communications in Computer and Information Science, Vol 1551, pp 140-155, January 2022.
Andrew J. Oosthuizen, Marelie H. Davel and Albert S. J. Helberg, "Multi-layer perceptron for channel state information estimation: design considerations", in Proc. Southern Africa Telecommunication Networks and Applications Conference (SATNAC 2022), pp 94-99, August 2022.
Andrew J. Oosthuizen, Albert S. J. Helberg and Marelie H. Davel, "Adversarial training for channel state information estimation in LTE multi-antenna systems", Artificial Intelligence Research (SACAIR 2022), Communications in Computer and Information Science, Vol 1734, pp 3-17, November 2022.
Marko Oosthuizen, Alwyn Hoffman and Marelie H. Davel, "A comparative study of graph neural network speed prediction during periods of congestion", in Proc. 14th Int. Conf. on Neural Computation theory and Applications (NCTA 2022), pp 331-338, October 2022.
Simon P. Ramalepe, Thipe I. Modipa and Marelie H. Davel, "The development of a Sepedi text generation model using transformers", in Proc. Southern Africa Telecommunication Networks and Applications Conference (SATNAC 2022), pp 51-56, August 2022.
Marthinus W. Theunissen, Coenraad Mouton and Marelie H. Davel, "The missing margin: How sample corruption affects distance to the boundary measurements in ANNs", Artificial Intelligence Research (SACAIR 2022), Communications in Computer and Information Science, Vol 1734, pp 78-92, November 2022.
Ruan van der Merwe, Gregory Newman and Etienne Barnard, "Manifold characteristics that predict downstream task performance", in Proc. First Workshop on Pre-training: Perspectives, Pitfalls, and Paths Forward at ICML 2022, July 2022.
2021
Daniël G. Haasbroek and Marelie H. Davel, "Exploring neural network training dynamics through binary node activations", in Proc. Southern African Conference for AI Research (SACAIR 2020), pp 304-320, February 2021.
Nuette Heyns and Etienne Barnard, "Optimising word embeddings for recognised multilingual speech", in Proc. Southern African Conference for AI Research (SACAIR 2020), pp 102-116, February 2021.
Dylan Lamprecht and Etienne Barnard, "Using a meta-model to compensate for training-evaluation mismatches", in Proc. Southern African Conference for AI Research (SACAIR 2020), pp 321-334, February 2021.
Andrew Oosthuizen, Marelie H. Davel and Albert Helberg, "Exploring CNN-based automatic modulation classification using small modulation sets", in Proc. Southern Africa Telecommunication Networks and Applications Conference (SATNAC 2021), pp 20-24, November 2021.
Rhyno A. Strydom and Etienne Barnard, "Classifying recognised speech with deep neural networks", in Proc. Southern African Conference for AI Research (SACAIR 2020), pp 191-205, February 2021.
Lucas van Wyk, Marelie H. Davel and Charl van Heerden, "Unsupervised fine-tuning of speaker diarisation pipelines using silhouette coefficients", in Proc. Southern African Conference for AI Research (SACAIR 2021), pp 202-216, December 2021.
2020
Jacques P. Beukes, Stefan Lotz and Marelie H. Davel, "Pairwise networks for feature ranking of a geomagnetic storm model", South African Computer Journal, Vol 32, no 2, pp 35-55, December 2020.
Marelie H. Davel, "Using summary layers to probe neural network behaviour", South African Computer Journal, Vol 32, no 2, pp 102-123, December 2020.
Marelie H. Davel, Marthinus W. Theunissen, Arnold M. Pretorius and Etienne Barnard, "DNNs as layers of cooperating classifiers", in Proc. AAAI, Vol 34 no 4, pp 3725-3732, New York, February 2020.
Ulrike Janke and Etienne Barnard, "MuST: A case study on the development of AI systems in the South African context", Litnet Seminars and Essays, March 2020.
Coenraad Mouton, Johannes C. Myburgh and Marelie H. Davel, "Stride and translation invariance in CNNs", Artificial Intelligence Research (SACAIR 2020), Communications in Computer and Information Science, Vol 1342, pp 267-281, 2020.
Johannes C. Myburgh, Coenraad Mouton and Marelie H. Davel, "Tracking translation invariance in CNNs", Artificial Intelligence Research (SACAIR 2020), Communications in Computer and Information Science, Vol 1342, pp 282-295, 2020.
Marthinus Wilhelmus Theunissen, Marelie H. Davel and Etienne Barnard, "Benign interpolation of noise in deep learning", South African Computer Journal, Vol 32, no 2, pp 80-101, December 2020.
Jan W.F. Thirion, Charl van Heerden, Oluwapelumi Giwa and Marelie H. Davel, "The South African directory enquiries (SADE) name corpus", Language Resources and Evaluation, Vol 54, issue 1, pp 155-184, March 2020. (Published online: 6 February 2019).
Arthur E.W. Venter, Marthinus W. Theunissen and Marelie H. Davel, "Pre-interpolation loss behavior in neural networks", Artificial Intelligence Research (SACAIR 2020), Communications in Computer and Information Science, Vol 1342, pp 296-309, 2020.
2019
Marelie H. Davel, "Activation gap generators in neural networks", in Proc. South African Forum for Artificial Intelligence Research (FAIR), pp 64-76, Cape Town, South Africa, December 2019.
Dewald D. Krynauw, Marelie H. Davel and Stefan Lotz, "Solar flare prediction with temporal convolutional networks", in Proc. South African FAIR (Work in progress), Cape Town, South Africa, December 2019.
Stefan Lotz, Jacques P. Beukes and Marelie H. Davel, "Input parameter ranking for neural networks in a space weather regression problem", in Proc. South African FAIR), pp 133-144, Cape Town, South Africa, December 2019.
Stefan Lotz, Jacques Beukes and Marelie Davel, "A neural network based method for input parameter selection", in Machine Learning in Heliophysics, Amsterdam, The Netherlands, September 2019.
Arnold M. Pretorius, Etienne Barnard and Marelie H. Davel, "ReLU and sigmoidal activation functions", in Proc. South African FAIR, pp 37-48, Cape Town, South Africa, December 2019.
Marthinus W. Theunissen, Marelie H. Davel and Etienne Barnard, "Insights regarding overfitting on noise in deep learning", in Proc. South African FAIR, pp 49-63, Cape Town, South Africa, December 2019.