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2020 – today
- 2024
[j10]Ibrahim Mohammad Alreshidi, Irene Moulitsas
, Karl W. Jenkins:
Advancing Aviation Safety Through Machine Learning and Psychophysiological Data: A Systematic Review. IEEE Access 12: 5132-5150 (2024)- [j9]Desmond Bala Bisandu, Irene Moulitsas:
Prediction of flight delay using deep operator network with gradient-mayfly optimisation algorithm. Expert Syst. Appl. 247: 123306 (2024) - [j8]Hazem Ashor Amran Abolholl, Tom-Robin Teschner, Irene Moulitsas:
A Hybrid Computer Vision and Machine Learning Approach for Robust Vortex Core Detection in Fluid Mechanics Applications. J. Comput. Inf. Sci. Eng. 24(6) (2024) - 2023
- [j7]Hazem Ashor Amran Abolholl, Tom-Robin Teschner, Irene Moulitsas:
Surface Line Integral Convolution-Based Vortex Detection Using Computer Vision. J. Comput. Inf. Sci. Eng. 23(5) (2023) - [j6]Ibrahim Mohammad Alreshidi, Irene Moulitsas, Karl W. Jenkins:
Multimodal Approach for Pilot Mental State Detection Based on EEG. Sensors 23(17): 7350 (2023) - [j5]Ibrahim Mohammad Alreshidi, Desmond Bala Bisandu, Irene Moulitsas:
Illuminating the Neural Landscape of Pilot Mental States: A Convolutional Neural Network Approach with Shapley Additive Explanations Interpretability. Sensors 23(22): 9052 (2023) - 2022
- [j4]Desmond Bala Bisandu, Irene Moulitsas, Salvatore Filippone:
Social ski driver conditional autoregressive-based deep learning classifier for flight delay prediction. Neural Comput. Appl. 34(11): 8777-8802 (2022) - [c7]Mohammed Salih Homaid, Irene Moulitsas:
Measuring Airport Service Quality Using Machine Learning Algorithms. ICAAI 2022: 8-14 - [c6]Ibrahim Mohammad Alreshidi, Irene Moulitsas, Karl W. Jenkins:
Miscellaneous EEG Preprocessing and Machine Learning for Pilots' Mental States Classification: Implications. ICAAI 2022: 29-39 - 2021
- [c5]Desmond Bala Bisandu, Mohammed Salih Homaid, Irene Moulitsas, Salvatore Filippone:
A Deep Feedforward Neural Network and Shallow Architectures Effectiveness Comparison: Flight Delays Classification Perspective. ICAAI 2021: 1-10 - [c4]Najla Albarrak, Hessa Alsanousi, Irene Moulitsas, Salvatore Filippone:
Using Big Data to Compare Classification Models for Household Credit Rating in Kuwait. ICICT (3) 2021: 609-618
2010 – 2019
- 2017
- [j3]Anuj Sharma, Irene Moulitsas:
MPI to Coarray Fortran: Experiences with a CFD Solver for Unstructured Meshes. Sci. Program. 2017: 3409647:1-3409647:12 (2017) - [j2]Máté Szoke, Tamás István Józsa, Ádám Koleszár, Irene Moulitsas, László Könözsy:
Performance Evaluation of a Two-Dimensional Lattice Boltzmann Solver Using CUDA and PGAS UPC Based Parallelisation. ACM Trans. Math. Softw. 44(1): 8:1-8:22 (2017)
2000 – 2009
- 2008
- [j1]Damian W. I. Rouson, Robert Rosenberg, Xiaofeng Xu, Irene Moulitsas, Stavros C. Kassinos:
A grid-free abstraction of the Navier-Stokes equations in Fortran 95/2003. ACM Trans. Math. Softw. 34(1): 2:1-2:33 (2008) - [c3]Irene Moulitsas, George Karypis:
Architecture Aware Partitioning Algorithms. ICA3PP 2008: 42-53 - 2001
- [c2]Irene Moulitsas, George Karypis:
Multilevel algorithms for generating coarse grids for multigrid methods. SC 2001: 45
1990 – 1999
- 1999
- [c1]Irene Moulitsas, Yousef Saad:
Parallel Finite Element Calculations Using PSPARSLIB. PP 1999
Coauthor Index
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last updated on 2024-08-05 21:25 CEST by the dblp team
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