Farhad Pourkamali-Anaraki
University of Massachusetts Lowell
H-index: 14
North America-United States
Top articles of Farhad Pourkamali-Anaraki
Probabilistic Neural Networks (PNNs) for Modeling Aleatoric Uncertainty in Scientific Machine Learning
arXiv preprint arXiv:2402.13945
2024/2/21
Farhad Pourkamali-Anaraki
H-Index: 11
Emergent mechanical properties in highly filled additively manufactured polymer composites
MRS Communications
2024/2/12
Farhad Pourkamali-Anaraki
H-Index: 11
Amy M Peterson
H-Index: 18
Adaptive Activation Functions for Predictive Modeling with Sparse Experimental Data
arXiv preprint arXiv:2402.05401
2024/2/8
Farhad Pourkamali-Anaraki
H-Index: 11
Amy M Peterson
H-Index: 18
Two-Stage Surrogate Modeling for Data-Driven Design Optimization with Application to Composite Microstructure Generation
arXiv preprint arXiv:2401.02008
2024/1/4
Farhad Pourkamali-Anaraki
H-Index: 11
Modeling the Stochastic Response of Fiber Reinforced Composites with Varied Representative Volume Element Sizes
2024
Farhad Pourkamali-Anaraki
H-Index: 11
Blood metal analysis of plasmas from donors with and without SARS-CoV-2 using laser-induced breakdown spectroscopy and logistic regression
Biomedical Optics Express
2024/1/1
Noureddine Melikechi
H-Index: 29
Ali Safi
H-Index: 1
Farhad Pourkamali-Anaraki
H-Index: 11
Kim Berlo
H-Index: 15
Weiming Xia
H-Index: 30
Benchmarking AutoML solutions for concrete strength prediction: Reliability, uncertainty, and dilemma
Construction and Building Materials
2024/4/12
Farhad Pourkamali-Anaraki
H-Index: 11
Advancing Precision Medicine: An Evaluative Study of Feature Selection Methods
2023/12/15
Farhad Pourkamali-Anaraki
H-Index: 11
Evaluation of classification models in limited data scenarios with application to additive manufacturing
Engineering Applications of Artificial Intelligence
2023/11/1
Farhad Pourkamali-Anaraki
H-Index: 11
Amy M Peterson
H-Index: 18
Active learning for prediction of tensile properties for material extrusion additive manufacturing
Scientific Reports
2023/7/15
Evaluating Regression Models with Partial Data: A Sampling Approach
2023/7/3
Farhad Pourkamali-Anaraki
H-Index: 11
Dimensionality reduction techniques in structural and earthquake engineering
Engineering Structures
2023/3/1
Soft computing and machine learning in dam engineering
2023/2/27
Application of machine learning in polymer additive manufacturing: A review
2023
Effect of Representative Volume Element Size for Creating Statistically Equivalent Composite Microstructures
PROCEEDINGS OF THE AMERICAN SOCIETY FOR COMPOSITES-THIRTY-EIGHTH TECHNICAL CONFERENCE
2023
Farhad Pourkamali-Anaraki
H-Index: 11
Study of Microstructural Variability of Fiber Reinforced Composites Using Multi-Scale Modeling and Machine Learning
PROCEEDINGS OF THE AMERICAN SOCIETY FOR COMPOSITES-THIRTY-EIGHTH TECHNICAL CONFERENCE
2023
Parisa Hajibabaee
H-Index: 0
Farhad Pourkamali-Anaraki
H-Index: 11
Generation of 2-D fiber reinforced composite microstructures with statistically equivalent features using machine learning and adaptive data generation
2023
Farhad Pourkamali-Anaraki
H-Index: 11
Parisa Hajibabaee
H-Index: 0
An automated machine learning engine with inverse analysis for seismic design of dams
Water
2022/11/30
Farhad Pourkamali-Anaraki
H-Index: 11
D-CBRS: Accounting for intra-class diversity in continual learning
2022/10/16
Yasin Findik
H-Index: 2
Farhad Pourkamali-Anaraki
H-Index: 11
Structural uncertainty quantification with partial information
Expert Systems with Applications
2022/7/15
Farhad Pourkamali-Anaraki
H-Index: 11
Co-Authors
