| Multi-step forecasting of wave power using a nonlinear recurrent neural network K Hatalis, P Pradhan, S Kishore, RS Blum, AJ Lamadrid 2014 IEEE PES General Meeting| Conference & Exposition, 1-5, 2014 | 32 | 2014 |
| Smooth Pinball Neural Network for Probabilistic Forecasting of Wind Power K Hatalis, AJ Lamadrid, K Scheinberg, S Kishore arXiv preprint arXiv:1710.01720, 2017 | 27 | 2017 |
| A novel smoothed loss and penalty function for noncrossing composite quantile estimation via deep neural networks K Hatalis, AJ Lamadrid, K Scheinberg, S Kishore arXiv preprint arXiv:1909.12122, 2019 | 17 | 2019 |
| Adaptive particle swarm optimization learning in a time delayed recurrent neural network for multi-step prediction K Hatalis, B Alnajjab, S Kishore, A Lamadrid 2014 IEEE Symposium on Foundations of Computational Intelligence (FOCI), 84-91, 2014 | 8 | 2014 |
| Modeling and detection of future cyber-enabled DSM data attacks K Hatalis, C Zhao, P Venkitasubramaniam, L Snyder, S Kishore, RS Blum Energies 13 (17), 4331, 2020 | 5 | 2020 |
| Prospects of wave power grid integration P Pradhan, K Hatalis, S Kishore, RS Blum, AJ Lamadrid 2014 IEEE PES General Meeting| Conference & Exposition, 1-5, 2014 | 5 | 2014 |
| An Empirical Analysis of Constrained Support Vector Quantile Regression for Nonparametric Probabilistic Forecasting of Wind Power K Hatalis, S Kishore, K Scheinberg, AJ Lamadrid Thirty-First AAAI Conference on Artificial Intelligence, 2017 | 4 | 2017 |
| On Enabling Autonomous Operation and Control of Ocean Wave Energy Farms K Hatalis, S Kishore Marine Energy Technology Symposium (METS), 2015 | 3 | 2015 |
| Does mere co-activation drive semantic interference PG O’Séaghdha, D Packer, AK Frazer, K Preusse, K Hatalis, ... 54th annual meeting of the Psychonomic Society, Toronto, Ontario, Canada, 2013 | 3 | 2013 |
| Mechanical limitations of materials for steel foil based flexible electronics PC Kuo, VG Chouvardas, JA Spirko, KM Hatalis, MK Hatalis MRS Online Proceedings Library 1030, 1-6, 2007 | 3 | 2007 |
| A Composite Quantile Fourier Neural Networkfor Multi-Step Probabilistic Forecastingof Nonstationary Univariate Time Series K Hatalis, S Kishore arXiv preprint arXiv:1712.09641, 2020 | 2* | 2020 |
| Swarm Optimization: Goodbye Gradients K Hatalis Article on Data Science Central, 2018 | 1 | 2018 |
| ChatGPT for Marketers: Limitations and Mitigations D Christou, K Hatalis, MG Staton, M Frechette Journal of Digital & Social Media Marketing 11 (4), 307-323, 2024 | | 2024 |
| Memory Matters: The Need to Improve Long-Term Memory in LLM-Agents K Hatalis, D Christou, J Myers, S Jones, K Lambert, A Amos-Binks, ... Proceedings of the AAAI Symposium Series 2 (1), 277-280, 2023 | | 2023 |
| Detecting Cyber Attack Under Quantitative Impact of Demand Side Management C Zhao, K Hatalis, P Venkitasubramaniam, R Blum, S Kishore, L Snyder 2020 IEEE/PES Transmission and Distribution Conference and Exposition (T&D), 1-5, 2020 | | 2020 |
| Modeling and Detection of Future Cyber-Enabled DSM Data Attacks using Supervised Learning K Hatalis, P Venkitasubramaniam, S Kishore arXiv preprint arXiv:1909.12894, 2019 | | 2019 |
| Neural Network Methods for Nonparametric Probabilistic Forecasting K Hatalis Lehigh University, PhD Dissertation, 2019 | | 2019 |
| Probabilistic Forecasting: Learning Uncertainty K Hatalis Article on Data Science Central, 2018 | | 2018 |
| Misuse of Demand Side Management K Hatalis, C Zhao, Y Zhuo, P Venkitasubramaniam, L Snyder, S Kishore, ... Secure Evolvable Energy Delivery Systems Industry Meeting, 2018 | | 2018 |
| Multistep Forecasting with Seasonal ARIMA in Python K Hatalis Article on Data Science Central, 2018 | | 2018 |
Shalinee KishoreLehigh UniversityVerified email at lehigh.edu
