Farhad Pourkamali-Anaraki
Orcid: 0000-0003-4078-1676
According to our database1,
Farhad Pourkamali-Anaraki
authored at least 36 papers
between 2013 and 2024.
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Bibliography
2024
Neural Comput. Appl., October, 2024
Two-stage surrogate modeling for data-driven design optimization with application to composite microstructure generation.
Eng. Appl. Artif. Intell., 2024
Kolmogorov-Arnold Networks in Low-Data Regimes: A Comparative Study with Multilayer Perceptrons.
CoRR, 2024
Big Data, 2024
Probabilistic Neural Networks (PNNs) for Modeling Aleatoric Uncertainty in Scientific Machine Learning.
IEEE Access, 2024
Adaptive Conformal Prediction Intervals Using Data-Dependent Weights With Application to Seismic Response Prediction.
IEEE Access, 2024
2023
Evaluation of classification models in limited data scenarios with application to additive manufacturing.
Eng. Appl. Artif. Intell., November, 2023
Proceedings of the International Conference on Machine Learning and Applications, 2023
Proceedings of the 9th International Conference on Control, 2023
2022
Expert Syst. Appl., 2022
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022
2021
Call for Special Issue Papers: Big Scientific Data and Machine Learning in Science and Engineering: Deadline for Manuscript Submission: February 1, 2022.
Big Data, 2021
Neural Networks and Imbalanced Learning for Data-Driven Scientific Computing With Uncertainties.
IEEE Access, 2021
Kernel Matrix Approximation on Class-Imbalanced Data With an Application to Scientific Simulation.
IEEE Access, 2021
An Empirical Evaluation of the t-SNE Algorithm for Data Visualization in Structural Engineering.
Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021
2020
A Unified NMPC Scheme for MAVs Navigation With 3D Collision Avoidance Under Position Uncertainty.
IEEE Robotics Autom. Lett., 2020
Scalable Spectral Clustering with Nystrom Approximation: Practical and Theoretical Aspects.
CoRR, 2020
Proceedings of the 28th Mediterranean Conference on Control and Automation, 2020
Kernel Ridge Regression Using Importance Sampling with Application to Seismic Response Prediction.
Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020
2019
Improved fixed-rank Nyström approximation via QR decomposition: Practical and theoretical aspects.
Neurocomputing, 2019
Proceedings of the 29th IEEE International Workshop on Machine Learning for Signal Processing, 2019
2018
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
2017
Preconditioned Data Sparsification for Big Data With Applications to PCA and K-Means.
IEEE Trans. Inf. Theory, 2017
2016
IET Signal Process., 2016
Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016
2015
2014
Proceedings of the 31th International Conference on Machine Learning, 2014
Efficient recovery of principal components from compressive measurements with application to Gaussian mixture model estimation.
Proceedings of the IEEE International Conference on Acoustics, 2014
2013
Proceedings of the IEEE International Conference on Image Processing, 2013
Proceedings of the IEEE International Conference on Acoustics, 2013