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ORCIDTshilidzi Marwala
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- affiliation: University of Johannesburg, South Africa
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2020 – today
- 2024
[j39]Solomon Oluwole Akinola
, Peter O. Olukanmi, Qing-Guo Wang, Tshilidzi Marwala:
Optimal Electricity Load Interruption Based on Time Series Classification With Super Learner and Feature Filtering. IEEE Access 12: 68249-68265 (2024)- 2023
- [j38]Thendo Sidogi, Wilson Tsakane Mongwe, Rendani Mbuvha, Peter O. Olukanmi, Tshilidzi Marwala:
A Signature Transform of Limit Order Book Data for Stock Price Prediction. IEEE Access 11: 70598-70609 (2023) - [j37]Solomon Oluwole Akinola, Qing-Guo Wang, Peter O. Olukanmi, Tshilidzi Marwala:
A Boosted Evolutionary Neural Architecture Search for Timeseries Forecasting with Application to South African COVID-19 Cases. Int. J. Online Biomed. Eng. 19(14): 107-130 (2023) - [c106]Rendani Mbuvha, David Ifeoluwa Adelani, Tendani Mutavhatsindi, Tshimangadzo Rakhuhu, Aluwani Mauda, Tshifhiwa Joshua Maumela, Andisani Masindi, Seani Rananga, Vukosi Marivate, Tshilidzi Marwala:
MphayaNER: Named Entity Recognition for Tshivenda. AfricaNLP 2023 - [c105]Solomon Oluwole Akinola, Qing-Guo Wang, Peter O. Olukanmi, Tshilidzi Marwala:
Heterogeneous Ensemble for Classifying Electrical Load Reduction in South Africa. IEA/AIE (2) 2023: 79-89 - [i100]Rendani Mbuvha, David Ifeoluwa Adelani, Tendani Mutavhatsindi, Tshimangadzo Rakhuhu, Aluwani Mauda, Tshifhiwa Joshua Maumela, Andisani Masindi, Seani Rananga, Vukosi Marivate, Tshilidzi Marwala:
MphayaNER: Named Entity Recognition for Tshivenda. CoRR abs/2304.03952 (2023) - [i99]Tshilidzi Marwala, Eleonore Fournier-Tombs, Serge Stinckwich:
The Use of Synthetic Data to Train AI Models: Opportunities and Risks for Sustainable Development. CoRR abs/2309.00652 (2023) - 2022
- [b11]Daniel Muller, Fernando Buarque, Tshilidzi Marwala:
On Rationality, Artificial Intelligence and Economics. WorldScientific 2022, ISBN 9789811255113, pp. 1-252 - [j36]Wilson Tsakane Mongwe, Rendani Mbuvha, Tshilidzi Marwala:
Shadow Magnetic Hamiltonian Monte Carlo. IEEE Access 10: 34340-34351 (2022) - [j35]Thendo Sidogi, Wilson Tsakane Mongwe, Rendani Mbuvha, Tshilidzi Marwala:
Fusing Sell-Side Analyst Bidirectional Forecasts Using Machine Learning. IEEE Access 10: 76966-76974 (2022) - [j34]Junhui Zhang, Qing-Guo Wang, Tshilidzi Marwala, Jitao Sun:
Neural network-based control for RRP-based networked systems under DoS attacks with power interval. Autom. 145: 110555 (2022) - [j33]Tshifhiwa Maumela, Fulufhelo V. Nelwamondo, Tshilidzi Marwala:
Population based training and federated learning frameworks for hyperparameter optimisation and ML unfairness using Ulimisana Optimisation Algorithm. Inf. Sci. 612: 132-150 (2022) - [j32]Peter O. Olukanmi, Fulufhelo V. Nelwamondo, Tshilidzi Marwala, Bhekisipho Twala:
Automatic detection of outliers and the number of clusters in k-means clustering via Chebyshev-type inequalities. Neural Comput. Appl. 34(8): 5939-5958 (2022) - [c104]Wilson Tsakane Mongwe, Thendo Sidogi, Rendani Mbuvha, Tshilidzi Marwala:
Probabilistic Inference of South African Equity Option Prices Under Jump-Diffusion Processes. CIFEr 2022: 1-8 - [c103]Tshifhiwa Maumela, Fulufhelo V. Nelwamondo, Tshilidzi Marwala:
Portfolio Optimisation Using Ulimisana Optimisation Algorithm. CoDIT 2022: 1250-1254 - [c102]Thendo Sidogi, Wilson Tsakane Mongwe, Rendani Mbuvha, Tshilidzi Marwala:
Creating Synthetic Volatility Surfaces using Generative Adversarial Networks with Static Arbitrage Loss Conditions. SSCI 2022: 1423-1429 - [i98]Rendani Mbuvha, Julien Yise Peniel Adounkpe, Wilson Tsakane Mongwe, Mandela Houngnibo, Nathaniel Newlands, Tshilidzi Marwala:
Imputation of Missing Streamflow Data at Multiple Gauging Stations in Benin Republic. CoRR abs/2211.11576 (2022) - 2021
- [b10]Bhaso Ndzendze, Tshilidzi Marwala:
Artificial Intelligence and Emerging Technologies in International Relations. WorldScientific 2021, ISBN 9789811234545, pp. 1-192 - [j31]Wilson Tsakane Mongwe, Rendani Mbuvha, Tshilidzi Marwala:
Antithetic Magnetic and Shadow Hamiltonian Monte Carlo. IEEE Access 9: 49857-49867 (2021) - [j30]Wilson Tsakane Mongwe, Rendani Mbuvha, Tshilidzi Marwala:
Magnetic Hamiltonian Monte Carlo With Partial Momentum Refreshment. IEEE Access 9: 108009-108016 (2021) - [j29]Tariq Shahzad, Saqib Saleem, Tshilidzi Marwala, Khmaies Ouahada:
Variations in Information Flow Patterns Following Intracranial Hypertensive Events in Traumatic Brain Injured Patients. IEEE Access 9: 121137-121145 (2021) - [j28]Wilson Tsakane Mongwe, Rendani Mbuvha, Tshilidzi Marwala:
Adaptively Setting the Path Length for Separable Shadow Hamiltonian Hybrid Monte Carlo. IEEE Access 9: 138598-138607 (2021) - [j27]Wilson Tsakane Mongwe, Rendani Mbuvha, Tshilidzi Marwala:
Utilising Partial Momentum Refreshment in Separable Shadow Hamiltonian Hybrid Monte Carlo. IEEE Access 9: 151235-151244 (2021) - [j26]Wilson Tsakane Mongwe, Rendani Mbuvha, Tshilidzi Marwala:
Adaptive Magnetic Hamiltonian Monte Carlo. IEEE Access 9: 152993-153003 (2021) - [j25]Wilson Tsakane Mongwe, Rendani Mbuvha, Tshilidzi Marwala:
Locally Scaled and Stochastic Volatility Metropolis- Hastings Algorithms. Algorithms 14(12): 351 (2021) - [c101]Lukasz A. Machowski, Tshilidzi Marwala:
Preservation of Manual Changes and Provenance for Data Quality using the Nano Version Control Repo. CSCI 2021: 1905-1911 - [c100]Lukasz A. Machowski, Tshilidzi Marwala:
Nano Version Control and "Robots of Robots" - Data Driven, Regenerative Production Code. CSCI 2021: 1938-1943 - [c99]Thendo Sidogi, Rendani Mbuvha, Tshilidzi Marwala:
Stock Price Prediction Using Sentiment Analysis. SMC 2021: 46-51 - [i97]Samuel Cohen, Rendani Mbuvha, Tshilidzi Marwala, Marc Peter Deisenroth:
Healing Products of Gaussian Processes. CoRR abs/2102.07106 (2021) - [i96]Rendani Mbuvha, Patience Zondo, Aluwani Mauda, Tshilidzi Marwala:
Predicting Higher Education Throughput in South Africa Using a Tree-Based Ensemble Technique. CoRR abs/2106.06805 (2021) - [i95]Wilson Tsakane Mongwe, Rendani Mbuvha, Tshilidzi Marwala:
Antithetic Riemannian Manifold And Quantum-Inspired Hamiltonian Monte Carlo. CoRR abs/2107.02070 (2021) - [i94]Lukasz A. Machowski, Tshilidzi Marwala:
Nano Version Control and Robots of Robots: Data Driven, Regenerative Production Code. CoRR abs/2110.04755 (2021) - 2020
- [b9]Tankiso Moloi, Tshilidzi Marwala:
Artificial Intelligence in Economics and Finance Theories. Advanced Information and Knowledge Processing, Springer 2020, ISBN 978-3-030-42961-4, pp. 1-123 - [j24]Tshifhiwa Maumela, Fulufhelo V. Nelwamondo, Tshilidzi Marwala:
Introducing Ulimisana Optimization Algorithm Based on Ubuntu Philosophy. IEEE Access 8: 179244-179258 (2020) - [j23]Peter O. Olukanmi, Fulufhelo V. Nelwamondo, Tshilidzi Marwala:
Rethinking k-means clustering in the age of massive datasets: a constant-time approach. Neural Comput. Appl. 32(19): 15445-15467 (2020) - [c98]Samuel Cohen, Rendani Mbuvha, Tshilidzi Marwala, Marc Peter Deisenroth:
Healing Products of Gaussian Process Experts. ICML 2020: 2068-2077 - [i93]Rendani Mbuvha, Ilyes Boulkaibet, Tshilidzi Marwala:
An Automatic Relevance Determination Prior Bayesian Neural Network for Controlled Variable Selection. CoRR abs/2001.01765 (2020)
2010 – 2019
- 2019
- [b8]Tshilidzi Marwala, Collins Achepsah Leke:
Handbook of Machine Learning - Volume 2: Optimization and Decision Making. WorldScientific 2019, ISBN 9789811205668, pp. 1-320 - [j22]Adeola Ogunleye, Qing-Guo Wang, Tshilidzi Marwala:
Integrated Learning via Randomized Forests and Localized Regression With Application to Medical Diagnosis. IEEE Access 7: 18727-18733 (2019) - [j21]Tanmoy Roy, Tshilidzi Marwala, Snehashish Chakraverty:
Precise detection of speech endpoints dynamically: A wavelet convolution based approach. Commun. Nonlinear Sci. Numer. Simul. 67: 162-175 (2019) - [j20]Sukanta Nayak, Tshilidzi Marwala, Snehashish Chakraverty:
Stochastic differential equations with imprecisely defined parameters in market analysis. Soft Comput. 23(17): 7715-7724 (2019) - [c97]Rendani Mbuvha, Ilyes Boulkaibet, Tshilidzi Marwala:
Bayesian Automatic Relevance Determination for Feature Selection in Credit Default Modelling. ICANN (Workshop) 2019: 420-425 - [i92]Tshilidzi Marwala:
Relative rationality: Is machine rationality subjective? CoRR abs/1902.04832 (2019) - [i91]Rendani Mbuvha, Ilyes Boulkaibet, Tshilidzi Marwala:
Automatic Relevance Determination Bayesian Neural Networks for Credit Card Default Modelling. CoRR abs/1906.06382 (2019) - [i90]Daniel Muller, Tshilidzi Marwala:
Relative Net Utility and the Saint Petersburg Paradox. CoRR abs/1910.09544 (2019) - 2018
- [b7]Tshilidzi Marwala:
Handbook of Machine Learning - Volume 1: Foundation of Artificial Intelligence. WorldScientific 2018, ISBN 9789813271227, pp. 1-328 - [j19]Ilyes Boulkaibet, Khaled Belarbi, Sofiane Bououden, Mohammed Chadli, Tshilidzi Marwala:
An adaptive fuzzy predictive control of nonlinear processes based on Multi-Kernel least squares support vector regression. Appl. Soft Comput. 73: 572-590 (2018) - [j18]Tariq Shahzad, Saqib Saleem, Saeeda Usman, Jawad Mirza, Qamar-ul Islam, Khmaies Ouahada, Tshilidzi Marwala:
System dynamics of active and passive postural changes: Insights from principal dynamic modes analysis of baroreflex loop. Comput. Biol. Medicine 100: 27-35 (2018) - [j17]Pramod Kumar Parida, Tshilidzi Marwala, Snehashish Chakraverty:
A multivariate additive noise model for complete causal discovery. Neural Networks 103: 44-54 (2018) - [c96]Rendani Mbuvha, Ilyes Boulkaibet, Tshilidzi Marwala, Fernando Buarque de Lima Neto:
A Hybrid GA-PSO Adaptive Neuro-Fuzzy Inference System for Short-Term Wind Power Prediction. ICSI (1) 2018: 498-506 - [i89]Tshilidzi Marwala, Bo Xing:
Blockchain and Artificial Intelligence. CoRR abs/1802.04451 (2018) - [i88]Bo Xing, Tshilidzi Marwala:
Creativity and Artificial Intelligence: A Digital Art Perspective. CoRR abs/1807.08195 (2018) - [i87]Tshilidzi Marwala:
On Robot Revolution and Taxation. CoRR abs/1808.01666 (2018) - [i86]Tshilidzi Marwala:
The limit of artificial intelligence: Can machines be rational? CoRR abs/1812.06510 (2018) - [i85]Tshilidzi Marwala:
Can rationality be measured? CoRR abs/1812.10144 (2018) - 2017
- [b6]Tshilidzi Marwala, Evan Hurwitz:
Artificial Intelligence and Economic Theory: Skynet in the Market. Advanced Information and Knowledge Processing, Springer 2017, ISBN 978-3-319-66103-2, pp. 1-179 - [j16]Abhishek Ranjan, Venu Madhav Kuthadi, Tshilidzi Marwala, Rajalakshmi Selvaraj:
Swarm Based Architecture for Defense Against Stealthy Attacks in Mobile Ad Hoc Network. Ad Hoc Sens. Wirel. Networks 36(1-4): 107-126 (2017) - [j15]Pramod Kumar Parida, Tshilidzi Marwala, Snehashish Chakraverty:
Altered-LiNGAM (ALiNGAM) for solving nonlinear causal models when data is nonlinear and noisy. Commun. Nonlinear Sci. Numer. Simul. 52: 190-202 (2017) - [j14]Ilyes Boulkaibet, Khaled Belarbi, Sofiane Bououden, Tshilidzi Marwala, Mohammed Chadli:
A new T-S fuzzy model predictive control for nonlinear processes. Expert Syst. Appl. 88: 132-151 (2017) - [j13]Padmaja Appalla, Venu Madhav Kuthadi, Tshilidzi Marwala:
An efficient educational data mining approach to support e-learning. Wirel. Networks 23(4): 1011-1024 (2017) - [c95]Gugulethu Mabuza-Hocquet, Fulufhelo V. Nelwamondo, Tshilidzi Marwala:
Ethnicity Distinctiveness Through Iris Texture Features Using Gabor Filters. ACIIDS (2) 2017: 551-560 - [c94]Collins Leke, Alain Richard Ndjiongue, Bhekisipho Twala, Tshilidzi Marwala:
Deep learning-bat high-dimensional missing data estimator. SMC 2017: 483-488 - [c93]Collins Leke, Alain Richard Ndjiongue, Bhekisipho Twala, Tshilidzi Marwala:
A Deep Learning-Cuckoo Search Method for Missing Data Estimation in High-Dimensional Datasets. ICSI (1) 2017: 561-572 - [i84]Ilyes Boulkaibet, Tshilidzi Marwala, Michael I. Friswell, Hamed Haddad Khodaparast, Sondipon Adhikari:
Fuzzy finite element model updating using metaheuristic optimization algorithms. CoRR abs/1701.00833 (2017) - [i83]Tshilidzi Marwala, Evan Hurwitz:
Artificial Intelligence and Economic Theories. CoRR abs/1703.06597 (2017) - [i82]Bo Xing, Tshilidzi Marwala:
Implications of the Fourth Industrial Age on Higher Education. CoRR abs/1703.09643 (2017) - [i81]Tshilidzi Marwala:
Rational Choice and Artificial Intelligence. CoRR abs/1703.10098 (2017) - [i80]M. Sherri, Ilyes Boulkaibet, Tshilidzi Marwala, Michael I. Friswell:
A Differential Evaluation Markov Chain Monte Carlo algorithm for Bayesian Model Updating. CoRR abs/1710.09486 (2017) - [i79]Satyakama Paul, Madhur Hasija, Tshilidzi Marwala:
Early prediction of the duration of protests using probabilistic Latent Dirichlet Allocation and Decision Trees. CoRR abs/1711.00462 (2017) - 2016
- [j12]Rajalakshmi Selvaraj, Venu Madhav Kuthadi, Tshilidzi Marwala:
Ant-based distributed denial of service detection technique using roaming virtual honeypots. IET Commun. 10(8): 929-935 (2016) - [c92]Marcos Álvares, Fernando Buarque de Lima Neto, Tshilidzi Marwala:
Prioritising Security Tests on Large-Scale and Distributed Software Development Projects by Using Self-organised Maps. ICONIP (4) 2016: 60-69 - [c91]Ishmael S. Msiza, Tshilidzi Marwala:
Autoencoder Networks for Water Demand Predictive Modelling. SIMULTECH 2016: 231-238 - [c90]Ahmed Ali, Ilyes Boulkaibet, Bhekisipho Twala, Tshilidzi Marwala:
Hybrid optimization algorithm to the problem of Distributed Generation power losses. SMC 2016: 1719-1724 - [c89]Marcos Álvares Barbosa, Fernando Buarque de Lima Neto, Tshilidzi Marwala:
Tolerance to complexity: Measuring capacity of development teams to handle source code complexity. SMC 2016: 2954-2959 - [c88]Collins Leke, Tshilidzi Marwala:
Missing Data Estimation in High-Dimensional Datasets: A Swarm Intelligence-Deep Neural Network Approach. ICSI (1) 2016: 259-270 - [i78]Collins Leke, Tshilidzi Marwala:
Missing Data Estimation in High-Dimensional Datasets: A Swarm Intelligence-Deep Neural Network Approach. CoRR abs/1607.00136 (2016) - 2015
- [b5]Tshilidzi Marwala:
Causality, Correlation and Artificial Intelligence for Rational Decision Making. WorldScientific 2015, ISBN 9789814630863, pp. 1-208 - [j11]Ilyes Boulkaibet, Linda Mthembu, Fernando Buarque de Lima Neto, Tshilidzi Marwala:
Finite element model updating using fish school search and volitive particle swarm optimization. Integr. Comput. Aided Eng. 22(4): 361-376 (2015) - [c87]Miguel A. Fernandes, Pretesh B. Patel, Tshilidzi Marwala:
Automated Detection of Human Users in Twitter. INNS Conference on Big Data 2015: 224-231 - [i77]Pramod Kumar Parida, Tshilidzi Marwala, Snehashish Chakraverty:
Causal Model Analysis using Collider v-structure with Negative Percentage Mapping. CoRR abs/1509.04904 (2015) - [i76]Tshilidzi Marwala, Evan Hurwitz:
Artificial Intelligence and Asymmetric Information Theory. CoRR abs/1510.02867 (2015) - [i75]Daniel J. Joubert, Tshilidzi Marwala:
Monte Carlo Dynamically Weighted Importance Sampling For Finite Element Model Updating. CoRR abs/1510.04632 (2015) - [i74]Collins Leke, Tshilidzi Marwala, Satyakama Paul:
Proposition of a Theoretical Model for Missing Data Imputation using Deep Learning and Evolutionary Algorithms. CoRR abs/1512.01362 (2015) - 2014
- [b4]Tshilidzi Marwala:
Artificial Intelligence Techniques for Rational Decision Making. Advanced Information and Knowledge Processing, Springer 2014, ISBN 978-3-319-11423-1, pp. 1-156 - [c86]Marcos Álvares Barbosa Junior, Tshilidzi Marwala, Fernando Buarque de Lima Neto:
Application of computational intelligence for Source Code classification. IEEE Congress on Evolutionary Computation 2014: 895-902 - [c85]Ali N. Hasan, Bhekisipho Twala, Tshilidzi Marwala:
Underground water dam levels and energy consumption prediction using computational intelligence techniques. CIVEMSA 2014: 94-99 - [c84]Rajalakshmi Selvaraj, Venu Madhav Kuthadi, Tshilidzi Marwala:
Hybrid Technique for Frequent Pattern Extraction from Sequential Database. FICTA (1) 2014: 265-275 - [c83]Ali N. Hasan, Bhekisipho Twala, Tshilidzi Marwala:
Moving towards accurate monitoring and prediction of gold mine underground dam levels. IJCNN 2014: 2844-2849 - [c82]Satyakama Paul, Bhekisipho Twala, Tshilidzi Marwala:
Modeling after sales customer satisfaction using multinomial logistic regression insights from a South African car company. SMC 2014: 900-905 - [c81]Collins Leke, Bhekisipho Twala, Tshilidzi Marwala:
Modeling of missing data prediction: Computational intelligence and optimization algorithms. SMC 2014: 1400-1404 - [i73]Collins Leke, Bhekisipho Twala, Tshilidzi Marwala:
Missing Data Prediction and Classification: The Use of Auto-Associative Neural Networks and Optimization Algorithms. CoRR abs/1403.5488 (2014) - [i72]Tshilidzi Marwala:
Rational Counterfactuals. CoRR abs/1404.2116 (2014) - 2013
- [b3]Tshilidzi Marwala:
Economic Modeling Using Artificial Intelligence Methods. Advanced Information and Knowledge Processing, Springer 2013, ISBN 978-1-4471-5009-1, pp. I-XVI, 1-261 - [j10]Mlungisi Duma, Tshilidzi Marwala, Bhekisipho Twala, Fulufhelo V. Nelwamondo:
Partial imputation of unseen records to improve classification using a hybrid multi-layered artificial immune system and genetic algorithm. Appl. Soft Comput. 13(12): 4461-4480 (2013) - [j9]Wen-jing Gao, Bo Xing, Tshilidzi Marwala:
Computational Intelligence in Used Products Retrieval and Reproduction. Int. J. Swarm Intell. Res. 4(1): 78-124 (2013) - [j8]Fulufhelo V. Nelwamondo, Dan Golding, Tshilidzi Marwala:
A dynamic programming approach to missing data estimation using neural networks. Inf. Sci. 237: 49-58 (2013) - [c80]Marcos Álvares Barbosa Junior, Tshilidzi Marwala, Fernando Buarque de Lima Neto:
Applications of computational intelligence for static software checking against memory corruption vulnerabilities. CICS 2013: 59-66 - [c79]Ali N. Hasan, Bhekisipho Twala, Tshilidzi Marwala:
Predicting mine dam levels and energy consumption using artificial intelligence methods. CIES 2013: 171-175 - [c78]Bolanle Tolulope Abe, Jaco A. Jordaan, Tshilidzi Marwala:
Ensemble classifier using GRG algorithm for land cover classification. ICMV 2013: 90670O - [c77]Innocent Sizo Duma, Bhekisipho Twala, Tshilidzi Marwala:
Predictive modeling for default risk using a multilayered feedforward neural network with Bayesian regularization. IJCNN 2013: 1-10 - [c76]Wen-Jing Gao, Bo Xing, Tshilidzi Marwala:
Teaching - Learning-based optimization approach for enhancing remanufacturability pre-evaluation system's reliability. SIS 2013: 235-239 - [i71]Tshilidzi Marwala:
Semi-bounded Rationality: A model for decision making. CoRR abs/1305.6037 (2013) - [i70]Tshilidzi Marwala:
Flexibly-bounded Rationality and Marginalization of Irrationality Theories for Decision Making. CoRR abs/1306.2025 (2013) - [i69]I. Boulkabeit, Linda Mthembu, Tshilidzi Marwala, Fernando Buarque de Lima Neto:
Finite Element Model Updating Using Fish School Search Optimization Method. CoRR abs/1308.2307 (2013) - [i68]Satyakama Paul, Andreas Janecek, Fernando Buarque de Lima Neto, Tshilidzi Marwala:
Applying the Negative Selection Algorithm for Merger and Acquisition Target Identification. CoRR abs/1308.2309 (2013) - 2012
- [j7]Mlungisi Duma, Bhekisipho Twala, Fulufhelo V. Nelwamondo, Tshilidzi Marwala:
Predictive Modeling with Missing Data using an Automatic Relevance Determination Ensemble: a Comparative Study. Appl. Artif. Intell. 26(10): 967-984 (2012) - [c75]Tshegofatso Thejane, Fulufhelo V. Nelwamondo, Jacoba E. Smit, Tshilidzi Marwala:
Influence of the auditory canal number of segments and radius variation on the outer ear frequency response. BHI 2012: 384-387 - [c74]Mlungisi Duma, Bhekisipho Twala, Tshilidzi Marwala, Fulufhelo Vincent Nelwamondo:
Classification with missing data using multi-layered artificial immune systems. IEEE Congress on Evolutionary Computation 2012: 1-8 - [c73]Marcos Álvares Barbosa Junior, Fernando Buarque de Lima Neto, Tshilidzi Marwala:
Optimizing risk management using NSGA-II. IEEE Congress on Evolutionary Computation 2012: 1-8 - [c72]Pretesh B. Patel, Tshilidzi Marwala:
Optimization of Fuzzy Inference System Field Classifiers Using Genetic Algorithms and Simulated Annealing. EANN 2012: 21-30 - [c71]Ruchi Shukla, Mukul Shukla, Arun Kumar Misra, Tshilidzi Marwala, Willem A. Clarke:
Dynamic Software Maintenance Effort Estimation Modeling Using Neural Network, Rule Engine and Multi-regression Approach. ICCSA (4) 2012: 157-169 - [c70]Msizi Khoza, Tshilidzi Marwala:
Computational intelligence techniques for modelling an economic system. IJCNN 2012: 1-5 - [c69]Bo Xing, Wen-jing Gao, Tshilidzi Marwala:
The applications of computational intelligence in radio frequency identification research. SMC 2012: 2067-2072 - [c68]Evan Hurwitz, Tshilidzi Marwala:
Optimising a targeted fund of strategies using genetic algorithms. SMC 2012: 2139-2143 - [c67]Ruchi Shukla, Mukul Shukla, Tshilidzi Marwala:
Neural Network and Statistical Modeling of Software Development Effort. SocProS 2012: 189-198 - [c66]Bo Xing, Wen-jing Gao, Fulufhelo V. Nelwamondo, Kimberly Battle, Tshilidzi Marwala:
Swarm Intelligence Supported e-Remanufacturing. ICSI (1) 2012: 45-52 - [c65]Bo Xing, Wen-jing Gao, Fulufhelo V. Nelwamondo, Kimberly Battle, Tshilidzi Marwala:
The Effects of Customer Perceived Disposal Hardship on Post-Consumer Product Remanufacturing: A Multi-agent Perspective. ICSI (2) 2012: 209-216 - [c64]Bo Xing, Wen-jing Gao, Fulufhelo V. Nelwamondo, Kimberly Battle, Tshilidzi Marwala:
TAC-RMTO: Trading Agent Competition in Remanufacture-to-Order. ICSI (2) 2012: 519-526 - [i67]Bo Xing, Wen-jing Gao, Fulufhelo V. Nelwamondo, Kimberly Battle, Tshilidzi Marwala:
Soft Computing in Product Recovery: A Survey Focusing on Remanufacturing System. CoRR abs/1206.0908 (2012) - [i66]Evan Hurwitz, Tshilidzi Marwala:
Common Mistakes when Applying Computational Intelligence and Machine Learning to Stock Market modelling. CoRR abs/1208.4429 (2012) - 2011
- [b2]Tshilidzi Marwala, Monica Lagazio:
Militarized Conflict Modeling Using Computational Intelligence. Advanced Information and Knowledge Processing, Springer 2011, ISBN 978-0-85729-789-1, pp. 1-254 - [c63]Ali Hassan, Khmaies Ouahada, Tshilidzi Marwala, Bhekisipho Twala:
Optimization of the compressed air-usage in South African mines. AFRICON 2011: 1-6 - [c62]Abdul-Khaaliq Mohamed, Tshilidzi Marwala, L. R. John:
Single-trial EEG discrimination between wrist and finger movement imagery and execution in a sensorimotor BCI. EMBC 2011: 6289-6293 - [c61]Mlungisi Duma, Bhekisipho Twala, Tshilidzi Marwala, Fulufhelo V. Nelwamondo:
Improving the Performance of the Ripper in Insurance Risk Classification - A Comparitive Study using Feature Selection. ICINCO (1) 2011: 203-210 - [c60]Pretesh B. Patel, Tshilidzi Marwala:
Adaptive Neuro Fuzzy Inference System, Neural Network and Support Vector Machine for Caller Behavior Classification. ICMLA (1) 2011: 298-303 - [c59]Mlungisi Duma, Bhekisipho Twala, Tshilidzi Marwala, Fulufhelo V. Nelwamondo:
Improving the Performance of the Support Vector Machine in Insurance Risk Classification - A Comparitive Study. IJCCI (NCTA) 2011: 340-346 - [c58]Evan Hurwitz, Tshilidzi Marwala:
Suitability of using technical indicator-based Strategies as potential strategies within intelligent trading systems. SMC 2011: 80-84 - [i65]Meir Perez, Tshilidzi Marwala:
The fuzzy gene filter: A classifier performance assesment. CoRR abs/1108.4545 (2011) - [i64]J. L. Mpanza, Tshilidzi Marwala:
Ant Colony Optimization of Rough Set for HV Bushings Fault Detection. CoRR abs/1108.4548 (2011) - [i63]Mlungisi Duma, Bhekisipho Twala, Tshilidzi Marwala:
Improving the performance of the ripper in insurance risk classification : A comparitive study using feature selection. CoRR abs/1108.4551 (2011) - [i62]J. L. Mpanza, Tshilidzi Marwala:
Artificial Neural Network and Rough Set for HV Bushings Condition Monitoring. CoRR abs/1108.4618 (2011) - [i61]Abdul-Khaaliq Mohamed, Tshilidzi Marwala, L. R. John:
Single-trial EEG Discrimination between Wrist and Finger Movement Imagery and Execution in a Sensorimotor BCI. CoRR abs/1108.5250 (2011) - [i60]Ilyes Boulkaibet, Tshilidzi Marwala, Linda Mthembu, Michael I. Friswell, Sondipon Adhikari:
Sampling Techniques in Bayesian Finite Element Model Updating. CoRR abs/1110.3382 (2011) - [i59]Pretesh B. Patel, Tshilidzi Marwala:
Fuzzy Inference Systems Optimization. CoRR abs/1110.3385 (2011) - [i58]Satyakama Paul, Bhekisipho Twala, Tshilidzi Marwala:
Organizational adaptation to Complexity: A study of the South African Insurance Market as a Complex Adaptive System through Statistical Risk Analysis. CoRR abs/1110.4296 (2011) - 2010
- [j6]Pretesh B. Patel, Tshilidzi Marwala:
Caller Behaviour Classification Using Computational Intelligence Methods. Int. J. Neural Syst. 20(1): 87-93 (2010) - [c57]Bo Xing, Wen-jing Gao, Fulufhelo V. Nelwamondo, Kimberly Battle, Tshilidzi Marwala:
Ant colony optimization for automated storage and retrieval system. IEEE Congress on Evolutionary Computation 2010: 1-7 - [c56]Bo Xing, Wen-jing Gao, Fulufhelo V. Nelwamondo, Kimberly Battle, Tshilidzi Marwala:
Cellular manufacturing system scheduling under fuzzy constraints: A group technology perspective. FUZZ-IEEE 2010: 1-8 - [c55]Craig D. Boesack, Tshilidzi Marwala, Fulufhelo V. Nelwamondo:
Application of GA-Fuzzy Controller design to Automatic Generation Control. IWACI 2010: 227-232 - [c54]Meir Perez, David M. Rubin, Tshilidzi Marwala, Lesley E. Scott, Jonathan Featherston, Wendy S. Stevens:
The Fuzzy Gene Filter: An Adaptive Fuzzy Inference System for Expression Array Feature Selection. IEA/AIE (3) 2010: 62-71 - [c53]Bolanle Abe, Anthony Gidudu, Tshilidzi Marwala:
Investigating the effects of ensemble classification on remotely sensed data for land cover mapping. IGARSS 2010: 2832-2835 - [c52]George Anderson, Tshilidzi Marwala, Fulufhelo Vincent Nelwamondo:
A Response Surface Methodology approach to operating system scheduler tuning. SMC 2010: 2684-2689 - [c51]Bo Xing, Wen-jing Gao, Kimberly Battle, Tshilidzi Marwala, Fulufhelo V. Nelwamondo:
Intelligent travel route planning for bridge crane type of material handling equipment in cellular manufacturing. SMC 2010: 2795-2799 - [c50]Bo Xing, Wen-jing Gao, Kimberly Battle, Tshilidzi Marwala, Fulufhelo V. Nelwamondo:
Can ant algorithms make automated guided vehicle system more intelligent? SMC 2010: 3226-3234 - [c49]Bo Xing, Wen-jing Gao, Kimberly Battle, Tshilidzi Marwala, Fulufhelo V. Nelwamondo:
Ant stigmergy shop floor control architecture for intelligent product oriented manufacturing system. SMC 2010: 4182-4189 - [c48]Bo Xing, Wen-jing Gao, Fulufhelo V. Nelwamondo, Kimberly Battle, Tshilidzi Marwala:
Two-Stage Inter-Cell Layout Design for Cellular Manufacturing by Using Ant Colony Optimization Algorithms. ICSI (1) 2010: 281-289 - [i57]Anthony Gidudu, Greg Hulley, Tshilidzi Marwala:
An svm multiclassifier approach to land cover mapping. CoRR abs/1007.1766 (2010) - [i56]George Anderson, Tshilidzi Marwala, Fulufhelo V. Nelwamondo:
Use of Data Mining in Scheduler Optimization. CoRR abs/1011.1735 (2010) - [i55]George Anderson, Tshilidzi Marwala, Fulufhelo Vincent Nelwamondo:
Application of Global and One-Dimensional Local Optimization to Operating System Scheduler Tuning. CoRR abs/1012.4045 (2010) - [i54]Bo Xing, Wen-jing Gao, Kimberly Battle, Tshilidzi Marwala, Fulufhelo V. Nelwamondo:
Artificial Intelligence in Reverse Supply Chain Management: The State of the Art. CoRR abs/1012.4046 (2010)
2000 – 2009
- 2009
- [b1]Tshilidzi Marwala:
Computational Intelligence for Missing Data Imputation, Estimation, and Management - Knowledge Optimization Techniques. IGI Global 2009, ISBN 978-1-60566-336-4, pp. 1-301 - [j5]M. A. Herzog, Tshilidzi Marwala, P. Stephan Heyns:
Machine and component residual life estimation through the application of neural networks. Reliab. Eng. Syst. Saf. 94(2): 479-489 (2009) - [c47]Adam Pantanowitz, Tshilidzi Marwala:
Evaluating the Impact of Missing Data Imputation. ADMA 2009: 577-586 - [c46]Pretesh B. Patel, Tshilidzi Marwala:
Genetic Algorithms, Neural Networks, Fuzzy Inference System, Support Vector Machines for Call Performance Classification. ICMLA 2009: 415-420 - [c45]Meir Perez, Jonathan Featherston, David M. Rubin, Tshilidzi Marwala, Lesley E. Scott, Wendy S. Stevens:
Differentially Expressed Gene Identification Based on Separability Index. ICMLA 2009: 429-434 - [c44]Anthony Gidudu, Bolanle Abe, Tshilidzi Marwala:
Random Ensemble Feature Selection for Land Cover Mapping. IGARSS (2) 2009: 840-842 - [i53]Tshilidzi Marwala:
Foundations for a Developmental State: A case for technical education. CoRR abs/0907.2019 (2009) - [i52]Linda Mthembu, Tshilidzi Marwala, Michael I. Friswell, Sondipon Adhikari:
Finite element model selection using Particle Swarm Optimization. CoRR abs/0910.2217 (2009) - [i51]Evan Hurwitz, Tshilidzi Marwala:
State of the Art Review for Applying Computational Intelligence and Machine Learning Techniques to Portfolio Optimisation. CoRR abs/0910.2276 (2009) - 2008
- [j4]Bodie Crossingham, Tshilidzi Marwala:
Using optimisation techniques for discretizing rough set partitions. Int. J. Hybrid Intell. Syst. 5(4): 219-236 (2008) - [j3]Ishmael S. Msiza, Fulufhelo V. Nelwamondo, Tshilidzi Marwala:
Water Demand Prediction using Artificial Neural Networks and Support Vector Regression. J. Comput. 3(11): 1-8 (2008) - [c43]Vukosi Ntsakisi Marivate, Tshilidzi Marwala:
Social Learning methods in board game agents. CIG 2008: 323-328 - [c42]Jaisheel Mistry, Fulufhelo V. Nelwamondo, Tshilidzi Marwala:
Estimating Missing Data and Determining the Confidence of the Estimate Data. ICMLA 2008: 752-755 - [c41]Nthabiseng Hlalele, Fulufhelo V. Nelwamondo, Tshilidzi Marwala:
Imputation of Missing Data Using PCA, Neuro-Fuzzy and Genetic Algorithms. ICONIP (2) 2008: 485-492 - [c40]Lesedi Melton Masisi, Fulufhelo V. Nelwamondo, Tshilidzi Marwala:
Investigating Ensemble Weight and the Certainty Distributions for Indicating Structural Diversity. ICONIP (2) 2008: 517-524 - [c39]Pretesh B. Patel, Tshilidzi Marwala:
Caller Interaction Classification: A Comparison of Real and Binary Coded GA-MLP Techniques. ICONIP (2) 2008: 728-735 - [c38]Jaisheel Mistry, Fulufhelo V. Nelwamondo, Tshilidzi Marwala:
Investigating Demographic Influences for HIV Classification Using Bayesian Autoassociative Neural Networks. ICONIP (2) 2008: 752-759 - [c37]George Ssali, Tshilidzi Marwala:
Computational intelligence and decision trees for missing data estimation. IJCNN 2008: 201-207 - [c36]Wabo Majavu, Terence L. van Zyl, Tshilidzi Marwala:
Classification of web resident sensor resources using Latent Semantic Indexing and ontologies. SMC 2008: 518-523 - [c35]Meir Perez, Robert Oscar Davidson, David M. Rubin, Tshilidzi Marwala:
Simulation of retinal function A fuzzy-linear approach. SMC 2008: 1079-1084 - [c34]Bodie Crossingham, Tshilidzi Marwala, Monica Lagazio:
Optimised rough sets for modelling interstate conflict. SMC 2008: 1198-1204 - [c33]Welile S. Miya, Lindokuhle Justice Mpanza, Tshilidzi Marwala, Fulufhelo V. Nelwamondo:
Condition monitoring of oil-impregnated paper bushings using Extension Neural Network, Gaussian Mixture and Hidden Markov Models. SMC 2008: 1954-1959 - [c32]Tshilidzi Marwala, Bodie Crossingham:
Neuro-rough models for modelling HIV. SMC 2008: 3089-3095 - [c31]Pretesh B. Patel, Tshilidzi Marwala:
Interactive Voice Response field classifiers. SMC 2008: 3425-3430 - [i50]Vukosi Marivate, Tshilidzi Marwala:
Introduction to Relational Networks for Classification. CoRR abs/0804.4682 (2008) - [i49]Lesedi Melton Masisi, Fulufhelo V. Nelwamondo, Tshilidzi Marwala:
The Effect of Structural Diversity of an Ensemble of Classifiers on Classification Accuracy. CoRR abs/0804.4741 (2008) - [i48]Meir Perez, Tshilidzi Marwala:
Stochastic Optimization Approaches for Solving Sudoku. CoRR abs/0805.0697 (2008) - [i47]Vukosi Ntsakisi Marivate, George Ssali, Tshilidzi Marwala:
An Intelligent Multi-Agent Recommender System for Human Capacity Building. CoRR abs/0806.2216 (2008) - [i46]Vukosi Ntsakisi Marivate, Tshilidzi Marwala:
Social Learning Methods in Board Games. CoRR abs/0810.3474 (2008) - [i45]Lesedi Melton Masisi, Fulufhelo V. Nelwamondo, Tshilidzi Marwala:
The use of entropy to measure structural diversity. CoRR abs/0810.3525 (2008) - [i44]Dan Golding, Linda Wilson, Tshilidzi Marwala:
Emergency Centre Organization and Automated Triage System. CoRR abs/0810.3671 (2008) - [i43]R. Musehane, F. Netshiongolwe, Fulufhelo V. Nelwamondo, Lesedi Melton Masisi, Tshilidzi Marwala:
Relationship between Diversity and Perfomance of Multiple Classifiers for Decision Support. CoRR abs/0810.3865 (2008) - [i42]Sarah Wright, Tshilidzi Marwala:
Artificial Intelligence Techniques for Steam Generator Modelling. CoRR abs/0811.1711 (2008) - [i41]Anthony Gidudu, Bolanle Abe, Tshilidzi Marwala:
Land Cover Mapping Using Ensemble Feature Selection Methods. CoRR abs/0811.2016 (2008) - [i40]Baruch Lubinsky, Bekir Genc, Tshilidzi Marwala:
Prediction of Platinum Prices Using Dynamically Weighted Mixture of Experts. CoRR abs/0812.2785 (2008) - 2007
- [j2]Tshilidzi Marwala:
Bayesian training of neural networks using genetic programming. Pattern Recognit. Lett. 28(12): 1452-1458 (2007) - [c30]Fulufhelo V. Nelwamondo, Tshilidzi Marwala:
Rough Set Theory for the Treatment of Incomplete Data. FUZZ-IEEE 2007: 1-6 - [c29]Bodie Crossingham, Tshilidzi Marwala:
Using Genetic Algorithms to Optimise Rough Set Partition Sizes for HIV Data Analysis. IDC 2007: 245-250 - [c28]Ishmael S. Msiza, Fulufhelo V. Nelwamondo, Tshilidzi Marwala:
Water Demand Forecasting Using Multi-layer Perceptron and Radial Basis Functions. IJCNN 2007: 13-18 - [c27]Shakir Mohamed, David M. Rubin, Tshilidzi Marwala:
Incremental Learning for Classification of Protein Sequences. IJCNN 2007: 19-24 - [c26]Christina B. Vilakazi, Tshilidzi Marwala:
Online Incremental Learning for High Voltage Bushing Condition Monitoring. IJCNN 2007: 2521-2526 - [c25]Christina B. Vilakazi, Tshilidzi Marwala:
Incremental Learning and Its Application to Bushing Condition Monitoring. ISNN (1) 2007: 1237-1246 - [c24]Fulufhelo V. Nelwamondo, Tshilidzi Marwala:
Handling Missing Data from Heteroskedastic and Nonstationary Data. ISNN (1) 2007: 1293-1302 - [c23]Ishmael S. Msiza, Fulufhelo V. Nelwamondo, Tshilidzi Marwala:
Artificial Neural Networks and Support Vector Machines for water demand time series forecasting. SMC 2007: 638-643 - [c22]Evan Hurwitz, Tshilidzi Marwala:
Learning to bluff. SMC 2007: 1188-1193 - [i39]Tshilidzi Marwala, Bodie Crossingham:
Bayesian approach to rough set. CoRR abs/0704.3433 (2007) - [i38]Shakir Mohamed, David M. Rubin, Tshilidzi Marwala:
An Adaptive Strategy for the Classification of G-Protein Coupled Receptors. CoRR abs/0704.3453 (2007) - [i37]Fulufhelo Vincent Nelwamondo, Tshilidzi Marwala:
Rough Sets Computations to Impute Missing Data. CoRR abs/0704.3635 (2007) - [i36]Tshilidzi Marwala, Unathi Mahola, Snehashish Chakraverty:
Fault Classification in Cylinders Using Multilayer Perceptrons, Support Vector Machines and Guassian Mixture Models. CoRR abs/0705.0197 (2007) - [i35]Lukasz A. Machowski, Tshilidzi Marwala:
Using Images to create a Hierarchical Grid Spatial Index. CoRR abs/0705.0204 (2007) - [i34]Evan Hurwitz, Tshilidzi Marwala:
Learning to Bluff. CoRR abs/0705.0693 (2007) - [i33]Tshilidzi Marwala, Bodie Crossingham:
Bayesian Approach to Neuro-Rough Models. CoRR abs/0705.0761 (2007) - [i32]Jonathan M. Spiller, Tshilidzi Marwala:
Medical Image Segmentation and Localization using Deformable Templates. CoRR abs/0705.0781 (2007) - [i31]D. L. Falk, David M. Rubin, Tshilidzi Marwala:
Enhancement of Noisy Planar Nuclear Medicine Images using Mean Field Annealing. CoRR abs/0705.0828 (2007) - [i30]Dhiresh R. Surajpal, Tshilidzi Marwala:
An Independent Evaluation of Subspace Face Recognition Algorithms. CoRR abs/0705.0952 (2007) - [i29]Ishmael S. Msiza, Fulufhelo V. Nelwamondo, Tshilidzi Marwala:
Artificial Neural Networks and Support Vector Machines for Water Demand Time Series Forecasting. CoRR abs/0705.0969 (2007) - [i28]Fulufhelo V. Nelwamondo, Tshilidzi Marwala:
Fuzzy Artmap and Neural Network Approach to Online Processing of Inputs with Missing Values. CoRR abs/0705.1031 (2007) - [i27]E. Habtemariam, Tshilidzi Marwala, Monica Lagazio:
Artificial Intelligence for Conflict Management. CoRR abs/0705.1209 (2007) - [i26]Tshilidzi Marwala:
Control of Complex Systems Using Bayesian Networks and Genetic Algorithm. CoRR abs/0705.1214 (2007) - [i25]Emil Marais, Tshilidzi Marwala:
Predicting the Presence of Internet Worms using Novelty Detection. CoRR abs/0705.1288 (2007) - [i24]M. A. Herzog, Tshilidzi Marwala, P. Stephan Heyns:
Machine and Component Residual Life Estimation through the Application of Neural Networks. CoRR abs/0705.1390 (2007) - [i23]Unathi Mahola, Fulufhelo V. Nelwamondo, Tshilidzi Marwala:
HMM Speaker Identification Using Linear and Non-linear Merging Techniques. CoRR abs/0705.1585 (2007) - [i22]L. Mdlazi, Tshilidzi Marwala, CJ Stander, Cornie Scheffer, P. Stephan Heyns:
Principal Component Analysis and Automatic Relevance Determination in Damage Identification. CoRR abs/0705.1672 (2007) - [i21]L. Mdlazi, CJ Stander, P. Stephan Heyns, Tshilidzi Marwala:
Using artificial intelligence for data reduction in mechanical engineering. CoRR abs/0705.1673 (2007) - [i20]Lukasz A. Machowski, Tshilidzi Marwala:
Evolutionary Optimisation Methods for Template Based Image Registration. CoRR abs/0705.1674 (2007) - [i19]Michael Maio Pires, Tshilidzi Marwala:
Option Pricing Using Bayesian Neural Networks. CoRR abs/0705.1680 (2007) - [i18]Tshilidzi Marwala, Philippe De Wilde, Luís Correia, Pedro Mariano, Rita Almeida Ribeiro, Vladimir Abramov, Nick B. Szirbik, Jan Goossenaerts:
Scalability and Optimisation of a Committee of Agents Using Genetic Algorithm. CoRR abs/0705.1757 (2007) - [i17]Tshilidzi Marwala:
Finite Element Model Updating Using Response Surface Method. CoRR abs/0705.1759 (2007) - [i16]Tshilidzi Marwala:
Dynamic Model Updating Using Particle Swarm Optimization Method. CoRR abs/0705.1760 (2007) - [i15]Tshilidzi Marwala, Monica Lagazio:
Modeling and Controlling Interstate Conflict. CoRR abs/0705.1761 (2007) - [i14]Snehashish Chakraverty, Tshilidzi Marwala, Pallavi Gupta, Thando Tettey:
Response Prediction of Structural System Subject to Earthquake Motions using Artificial Neural Network. CoRR abs/0705.2235 (2007) - [i13]Tshilidzi Marwala, Thando Tettey, Snehashish Chakraverty:
Fault Classification using Pseudomodal Energies and Neuro-fuzzy modelling. CoRR abs/0705.2236 (2007) - [i12]Sizwe M. Dhlamini, Tshilidzi Marwala, Thokozani Majozi:
Fuzzy and Multilayer Perceptron for Evaluation of HV Bushings. CoRR abs/0705.2305 (2007) - [i11]Bradley van Aardt, Tshilidzi Marwala:
A Study in a Hybrid Centralised-Swarm Agent Community. CoRR abs/0705.2307 (2007) - [i10]Christina B. Vilakazi, Tshilidzi Marwala, P. Mautla, E. Moloto:
On-Line Condition Monitoring using Computational Intelligence. CoRR abs/0705.2310 (2007) - [i9]Bodie Crossingham, Tshilidzi Marwala:
Using Genetic Algorithms to Optimise Rough Set Partition Sizes for HIV Data Analysis. CoRR abs/0705.2485 (2007) - [i8]Sizwe M. Dhlamini, Fulufhelo V. Nelwamondo, Tshilidzi Marwala:
Condition Monitoring of HV Bushings in the Presence of Missing Data Using Evolutionary Computing. CoRR abs/0705.2516 (2007) - [i7]Tshilidzi Marwala, Christina B. Vilakazi:
Computational Intelligence for Condition Monitoring. CoRR abs/0705.2604 (2007) - [i6]Evan Hurwitz, Tshilidzi Marwala:
Multi-Agent Modeling Using Intelligent Agents in the Game of Lerpa. CoRR abs/0706.0280 (2007) - [i5]Simon Scurrell, Tshilidzi Marwala, David M. Rubin:
Automatic Detection of Pulmonary Embolism using Computational Intelligence. CoRR abs/0706.0300 (2007) - [i4]Vukosi Ntsakisi Marivate, Fulufhelo V. Nelwamondo, Tshilidzi Marwala:
Autoencoder, Principal Component Analysis and Support Vector Regression for Data Imputation. CoRR abs/0709.2506 (2007) - [i3]Greg Hulley, Tshilidzi Marwala:
Evolving Classifiers: Methods for Incremental Learning. CoRR abs/0709.3965 (2007) - [i2]Anthony Gidudu, Greg Hulley, Tshilidzi Marwala:
Classification of Images Using Support Vector Machines. CoRR abs/0709.3967 (2007) - [i1]Anthony Gidudu, Greg Hulley, Tshilidzi Marwala:
Image Classification Using SVMs: One-against-One Vs One-against-All. CoRR abs/0711.2914 (2007) - 2006
- [c21]Dalton D. Lunga, Tshilidzi Marwala:
Time Series Analysis Using Fractal Theory and Online Ensemble Classifiers. Australian Conference on Artificial Intelligence 2006: 312-321 - [c20]Pretesh B. Patel, Tshilidzi Marwala:
Neural Networks, Fuzzy Inference Systems and Adaptive-Neuro Fuzzy Inference Systems for Financial Decision Making. ICONIP (3) 2006: 430-439 - [c19]Dalton D. Lunga, Tshilidzi Marwala:
Online Forecasting of Stock Market Movement Direction Using the Improved Incremental Algorithm. ICONIP (3) 2006: 440-449 - [c18]Fola Soares, John J. Burken, Tshilidzi Marwala:
Neural Network Applications in Advanced Aircraft Flight Control System, a Hybrid System, a Flight Test Demonstration. ICONIP (3) 2006: 684-691 - [c17]Thando Tettey, Tshilidzi Marwala:
Neuro-fuzzy Modeling and Fuzzy Rule Extraction Applied to Conflict Management. ICONIP (3) 2006: 1087-1094 - [c16]Fulufhelo V. Nelwamondo, Unathi Mahola, Tshilidzi Marwala:
Improving Speaker Identification Rate Using Fractals. IJCNN 2006: 3231-3236 - [c15]Tshilidzi Marwala, Unathi Mahola, Fulufhelo V. Nelwamondo:
Hidden Markov Models and Gaussian Mixture Models for Bearing Fault Detection Using Fractals. IJCNN 2006: 3237-3242 - [c14]Tshilidzi Marwala:
Bayesian Training of Neural Networks Using Genetic Programming. IJCNN 2006: 3622-3626 - [c13]Shakir Mohamed, Thando Tettey, Tshilidzi Marwala:
An Extension Neural Network and Genetic Algorithm for Bearing Fault Classification. IJCNN 2006: 3942-3948 - [c12]Fulufhelo V. Nelwamondo, Tshilidzi Marwala:
Faults Detection Using Gaussian Mixture Models, Mel-Frequency Cepstral Coefficients and Kurtosis. SMC 2006: 290-295 - [c11]Sizwe M. Dhlamini, Tshilidzi Marwala, Thokozani Majozi:
Fuzzy and Multilayer Perceptron for Evaluation of HV Bushings. SMC 2006: 1331-1336 - [c10]Shakir Mohamed, David M. Rubin, Tshilidzi Marwala:
Multi-class Protein Sequence Classification Using Fuzzy ARTMAP. SMC 2006: 1676-1681 - [c9]Lukasz A. Machowski, Tshilidzi Marwala:
Using Images to create a Hierarchical Grid Spatial Index. SMC 2006: 1974-1979 - [c8]Brain Leke-Betechuoh, Tshilidzi Marwala, Taryn Tim, Monica Lagazio:
Prediction of HIV Status from Demographic Data Using Neural Networks. SMC 2006: 2339-2344 - [c7]Pretesh B. Patel, Tshilidzi Marwala:
Forecasting closing price indices using neural networks. SMC 2006: 2351-2356 - [c6]Christina B. Vilakazi, Tshilidzi Marwala:
Application of Feature Selection and Fuzzy ARTMAP to Intrusion Detection. SMC 2006: 4880-4885 - 2005
- [j1]Mussa Abdella, Tshilidzi Marwala:
The Use of Genetic Algorithms and Neural Networks to Approximate Missing Data in Database. Comput. Artif. Intell. 24(6): 577-589 (2005) - 2004
- [c5]Eyob Teweldemedhin, Tshilidzi Marwala, Conrad Mueller:
Agent-Based Modelling: A Case Study in HIV Epidemic. HIS 2004: 154-159 - [c4]Zaheer A. Dindar, Tshilidzi Marwala:
Option pricing using a committee of neural networks and optimized networks. SMC (1) 2004: 434-438 - [c3]Michael Maio Pires, Tshilidzi Marwala:
American option pricing using multi-layer perceptron and support vector machine. SMC (2) 2004: 1279-1285 - [c2]Lukasz A. Machowski, Tshilidzi Marwala:
Representing and classifying 2D shapes of real-world objects using neural networks. SMC (7) 2004: 6366-6372 - 2001
- [c1]Pedro Mariano, Alfredo Pereira, Luís Correia, Rita Almeida Ribeiro, Vladimir Abramov, Nick B. Szirbik, Jan Goossenaerts, Tshilidzi Marwala, Philippe De Wilde:
Simulation of a trading multi-agent system. SMC 2001: 3378-3384
Coauthor Index
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