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- A Deep Learning Approach to Prevent Problematic Movements of Industrial Workers Based on Inertial Sensors 2022
- Development of Deep Learning approaches to predict relationships between chemical structures and sweetness 2022
- Predicting the number of biochemical transformations needed to synthesize a compound 2022
- A collaborative approach using neural networks for BLE-RSS lateration-based indoor positioning 2022
- A Comparison of AutoML Tools for Machine Learning, Deep Learning and XGBoost 2021
- R2L: Routing with Reinforcement Learning 2021
- Deep Neural Networks for Network Routing 2019
- Using Deep Learning for Mobile Marketing User Conversion Prediction 2019
- Learning joint representations for order and timing of perceptual-motor sequences: A dynamic neural field approach 2015
- Modeling disinhibition within a layered structure of the LGMD neuron 2013
- Financial distress model prediction using SVM+ 2010
- Sensitivity analysis for time lag selection to forecast seasonal time series using neural networks and support vector machines 2010
- Internet traffic forecasting using neural networks 2006
- Particle swarms for feedforward neural network training 2002