Neural Network Methods for Nonparametric Probabilistic Forecasting
Kostas Hatalis.
Doctoral Dissertation, Lehigh University, 2019.
Computationally Modeling an Incremental Learning Account of Semantic Interference Through Phonological Influence
Kostas Hatalis.
Masters Thesis, Lehigh University, 2013.
Touching the Unreal: Multidimensional Hand Movement Recognition for Input Peripheral Applications
Kostas Hatalis and Eric Holland.
Bachelor Thesis, Lehigh University, 2011.
Survey of Deep Quantile Regression Neural Networks for Forecasting
Kostas Hatalis and Shalinee Kishore.
In-Preperation.
Multi Quantile Estimation Based Neural Network for Probabilistic Forecasting of Wind Power
Kostas Hatalis, Alberto J. Lamadrid, Katya Scheinberg, and Shalinee Kishore.
In-Submission.
Modeling and Detection of Future Cyber-Enabled DSM Data Attacks using Supervised Learning
Kostas Hatalis, Parv Venkitasubramaniam, and Shalinee Kishore.
In-Submission.
A Composite Quantile Fourier Neural Network for Multi-Horizon Probabilistic Forecasting
Kostas Hatalis and Shalinee Kishore.
In-Submission.
An Empirical Analysis of Constrained Support Vector Quantile Regression for Nonparametric Probabilistic Forecasting
Kostas Hatalis, Shalinee Kishore, Katya Scheinberg, and Alberto J. Lamadrid.
Smart Grid Workshop at the Thirty-First AAAI Conference on Artificial Intelligence, 2017.
Particle Swarm Based Model Exploitation for Parameter Estimation of Wave Realizations
Kostas Hatalis, Basel Alnajjab, Shalinee Kishore, Rick S Blum, and Alberto J. Lamadrid.
IEEE Symposium Series on Computational Intelligence (SSCI), 2016.
On Enabling Autonomous Operation and Control of Ocean Wave Energy Farms
Kostas Hatalis and Shalinee Kishore.
Proceedings of the 3rd Marine Energy Technology Symposium (METS), 2015.
Adaptive Particle Swarm Optimization Learning in a Time Delayed Recurrent Neural Network for Multi-Step Prediction
Kostas Hatalis, Basel Alnajjab, Shalinee Kishore, and Alberto J. Lamadrid.
IEEE Symposium on the Foundations of Computational Intelligence (FOCI), 2014.
Multi-Step Forecasting of Wave Power using a Nonlinear Recurrent Neural Network
Kostas Hatalis, Parth Pradhan, Shalinee Kishore, Rick Blum, and Alberto J Lamadrid.
IEEE Power and Energy General Meeting (PES), 2014.
Prospects of Wave Power Grid Integration
Parth Pradhan, Kostas Hatalis, Shalinee Kishore, Rick Blum, and Alberto J Lamadrid.
IEEE Power and Energy General Meeting (PES), 2014.
Misuse of Demand Side Management
Kostas Hatalis, Chengbo Zhao, Yihe Zhuo, Parv Venkitasubramaniam, Larry Snyder, Shalinee Kishore, and Rick Blum.
Secure Evolvable Energy Delivery Systems Industry Meeting, 2018.
Protecting Power System Operations Against Cyber Attacks in the Presence of Renewables
Parth Pradhan, Kostas Hatalis, and Shalinee Kishore.
Secure Evolvable Energy Delivery Systems Industry Meeting, 2017.
Simulations on the Effect of External Semantic Interference in Lexical Retrieval and Priming in Memory
Kostas Hatalis and Radhika Chandramouli.
Neuroscience, 2015.
Swarm Based Parameter Estimation of Wave Characteristics for Control in Ocean Energy Farms
Kostas Hatalis, Basel Alnajjab, Shalinee Kishore, and Rick Blum.
IEEE Power Energy Society General Meeting, 2015.
A Multi-Agent System Architecture for Operational Autonomy in Ocean Wave Energy Farms
Kostas Hatalis and Shalinee Kishore.
28th International Flairs Conference (FLAIRS-28), 2015.
Does Mere Co-activation Drive Semantic Interference?
O’Seaghdha P. G., D. P. Packer, A. K. Frazer, K. C. Preusse, K. Hatalis, H. Munoz-Avila, and A. Hupbach.
Annual Meeting of the Psychonomic Society, 2013.
Multistep Forecasting with Seasonal ARIMA in Python
Kostas Hatalis.
Data Science Central, 2018.
Introduction to Bayesian Decision Theory
Kostas Hatalis.
Data Science Central, 2018.
Swarm Optimization: Goodbye Gradients
Kostas Hatalis.
Data Science Central, 2018.
Probabilistic Forecasting: Learning Uncertainty
Kostas Hatalis.
Data Science Central, 2018.
