Kuruge Darshana Abeyrathna
Kuruge Darshana Abeyrathna
PhD candidate
Verified email at uia.no - Homepage
Title
Cited by
Cited by
Year
The regression Tsetlin machine: a novel approach to interpretable nonlinear regression
K Darshana Abeyrathna, OC Granmo, X Zhang, L Jiao, M Goodwin
Philosophical Transactions of the Royal Society A 378 (2164), 20190165, 2020
192020
A Scheme for Continuous Input to the Tsetlin Machine with Applications to Forecasting Disease Outbreaks
KD Abeyrathna, OC Granmo, X Zhang, M Goodwin
arXiv preprint arXiv:1905.04199, 2019
142019
Extending the tsetlin machine with integer-weighted clauses for increased interpretability
KD Abeyrathna, OC Granmo, M Goodwin
IEEE Access 9, 8233-8248, 2021
112021
Kick Detection and Influx Size Estimation during Offshore Drilling Operations using Deep Learning
AK Fjetland, Z Jing, KD Abeyrathna, JE Gravdal
2019 14th IEEE Conference on Industrial Electronics and Applications (ICIEA …, 2019
82019
The regression Tsetlin machine: a Tsetlin machine for continuous output problems
KD Abeyrathna, OC Granmo, L Jiao, M Goodwin
EPIA Conference on Artificial Intelligence, 268-280, 2019
82019
Hybrid Particle Swarm Optimization With Genetic Algorithm to Train Artificial Neural Networks for Short-Term Load Forecasting
KD Abeyrathna, C Jeenanunta
International Journal of Swarm Intelligence Research (IJSIR) 10 (1), 1-14, 2019
82019
Time Series Outlier Detection for Short-Term Electricity Load Demand Forecasting
C Jeenanunta, KD Abeyrathna, MS Dilhani, SW Hnin, PP Phyo
INTERNATIONAL SCIENTIFIC JOURNAL OF ENGINEERING AND TECHNOLOGY (ISJET), 37, 2017
82017
Combine Particle Swarm Optimization with Artificial Neural Networks for Short-Term Load Forecasting
C Jeenanunta, KD Abeyrathna
ISJET 8, 25, 2017
82017
Neural network with genetic algorithm for forecasting short-term electricity load demand
C Jeenanunta, KD Abeyrathna
International Journal of Energy Technology and Policy 15 (2-3), 337-350, 2019
42019
A Regression Tsetlin Machine with Integer Weighted Clauses for Compact Pattern Representation
KD Abeyrathna, OC Granmo, M Goodwin
arXiv preprint arXiv:2002.01245, 2020
32020
A novel Tsetlin automata scheme to forecast dengue outbreaks in the Philippines
DA Kuruge, OC Granmo, M Goodwin
2018 IEEE 30th International Conference on Tools with Artificial …, 2018
32018
A Novel Multi-step Finite-State Automaton for Arbitrarily Deterministic Tsetlin Machine Learning
KD Abeyrathna, OC Granmo, R Shafik, A Yakovlev, A Wheeldon, J Lei, ...
International Conference on Innovative Techniques and Applications of …, 2020
22020
Massively Parallel and Asynchronous Tsetlin Machine Architecture Supporting Almost Constant-Time Scaling
KD Abeyrathna, B Bhattarai, M Goodwin, S Gorji, OC Granmo, L Jiao, ...
arXiv preprint arXiv:2009.04861, 2020
22020
A Scheme for Continuous Input to the Tsetlin Machine with Applications to Forecasting Disease Outbreaks
K Darshana Abeyrathna, OC Granmo, X Zhang, M Goodwin
arXiv e-prints, arXiv: 1905.04199, 2019
22019
The Study of Artificial Neural Network Parameters for Electricity Forecasting
C Jeenanunta, KD Abeyrathna
22016
On the Convergence of Tsetlin Machines for the XOR Operator
L Jiao, X Zhang, OC Granmo, KD Abeyrathna
arXiv preprint arXiv:2101.02547, 2021
12021
Adaptive Continuous Feature Binarization for Tsetlin Machines Applied to Forecasting Dengue Incidences in the Philippines
KD Abeyrathna, OC Granmo, X Zhang, M Goodwin
2020 IEEE Symposium Series on Computational Intelligence (SSCI), 2084-2092, 2020
12020
On Obtaining Classification Confidence, Ranked Predictions and AUC with Tsetlin Machines
KD Abeyrathna, OC Granmo, M Goodwin
2020 IEEE Symposium Series on Computational Intelligence (SSCI), 662-669, 2020
12020
Training Artificial Neural Networks With Improved Particle Swarm Optimization: Case of Electricity Demand Forecasting in Thailand
KD Abeyrathna, C Jeenanunta
Handbook of Research on Advancements of Swarm Intelligence Algorithms for …, 2020
12020
Effect of Data from Neighbouring Regions to Forecast Dengue Incidences in Different Regions of Philippines Using Artificial Neural Networks
KD Abeyrathna, OC Granmo, M Goodwin
12018
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