Sepideh Pashami

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Slawomir NowaczykProfessor, Center for Applied Intelligent Systems Research, Halmstad UniversityDirección de correo verificada de hh.se
Peyman Sheikholharam MashhadiSenior Lecturer, Center for Applied Intelligent Systems Research, Halmstad UniversityDirección de correo verificada de hh.se
Achim J. LilienthalFull Professor & MIRMI Deputy Director at TU MunichDirección de correo verificada de tum.de
Yuantao FanHalmstad UniversityDirección de correo verificada de hh.se
Mohammed Ghaith AltarabichiPostdoc, Center for Applied Intelligent Systems Research, Halmstad UniversityDirección de correo verificada de hh.se
Thorsteinn RögnvaldssonProfessor of Computer Science, Halmstad UniversityDirección de correo verificada de hh.se
Mohamed-Rafik BougueliaAssociate Professor, Halmstad University, SwedenDirección de correo verificada de hh.se
Abdallah AlabdallahResearcher, Center for Applied Intelligent Systems Research, Halmstad UniversityDirección de correo verificada de hh.se
Sahar AsadiDirector of AI Labs at King, Microsoft GamingDirección de correo verificada de king.com
Pablo del MoralPhD student at Halmstad UniversityDirección de correo verificada de hh.se
Zahra (Nasrin) TaghiyarrenaniPostdoctoral researcherDirección de correo verificada de hh.se
Anders HolstRISE Research Institutes of SwedenDirección de correo verificada de ri.se
Martin CooneySenior Lecturer, Halmstad UniversityDirección de correo verificada de hh.se
Reza KhoshkanginiSenior Lecturer-Malmö UniversityDirección de correo verificada de mau.se
Kunru ChenPh.D Student, Halmstand UniversityDirección de correo verificada de hh.se
Cristofer EnglundHalmstad UniversityDirección de correo verificada de hh.se
Marco TrincavelliDirector of Software, Mobile Division, Prophesee

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Sepideh Pashami

Associate Professor, Halmstad University; Senior researcher, RISE Research Institutes of Sweden

Dirección de correo verificada de hh.se - Página principal

Machine Learning Causal Inference Explainable AI Transfer Learning Robust ML


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Fast Genetic Algorithm for feature selection—A qualitative approximation approach MG Altarabichi, S Nowaczyk, S Pashami, P Sheikholharam Mashhadi Proceedings of the Companion Conference on Genetic and Evolutionary …, 2023	64	2023
AI perspectives in Smart Cities and Communities to enable road vehicle automation and smart traffic control C Englund, EE Aksoy, F Alonso-Fernandez, MD Cooney, S Pashami, ... Smart Cities 4 (2), 783-802, 2021	56	2021
Why Is Multiclass Classification Hard? P Del Moral, S Nowaczyk, S Pashami IEEE Access 10, 80448-80462, 2022	49	2022
Detecting Changes of a Distant Gas Source with an Array of MOX Gas Sensors S Pashami, AJ Lilienthal, M Trincavelli Sensors 12 (12), 16404-16419, 2012	48	2012
Early prediction of quality issues in automotive modern industry R Khoshkangini, P Sheikholharam Mashhadi, P Berck, ... Information 11 (7), 354, 2020	42	2020
Dynamic positioning based on voronoi cells (dpvc) HAT Dashti, N Aghaeepour, S Asadi, M Bastani, Z Delafkar, FM Disfani, ... RoboCup 2005: Robot Soccer World Cup IX 9, 219-229, 2006	34	2006
Predicting air compressor failures using long short term memory networks K Chen, S Pashami, Y Fan, S Nowaczyk Progress in Artificial Intelligence: 19th EPIA Conference on Artificial …, 2019	31	2019
Multi-domain adaptation for regression under conditional distribution shift Z Taghiyarrenani, S Nowaczyk, S Pashami, MR Bouguelia Expert Systems with Applications 224, 119907, 2023	26	2023
Integration of openfoam flow simulation and filament-based gas propagation models for gas dispersion simulation S Pashami, S Asadi, AJ Lilienthal Proceedings of the Open Source CFD International Conference 2, 2010	25	2010
The Concordance Index decomposition: A measure for a deeper understanding of survival prediction models A Alabdallah, M Ohlsson, S Pashami, T Rögnvaldsson Artificial Intelligence in Medicine 148, 102781, 2024	24	2024
Stacked ensemble of recurrent neural networks for predicting turbocharger remaining useful life PS Mashhadi, S Nowaczyk, S Pashami Applied Sciences 10 (1), 69, 2019	24	2019
Interactive feature extraction for diagnostic trouble codes in predictive maintenance: A case study from automotive domain P Pirasteh, S Nowaczyk, S Pashami, M Löwenadler, K Thunberg, ... Proceedings of the Workshop on Interactive Data Mining, 1-10, 2019	24	2019
Decentralized and Adaptive K-Means Clustering for Non-IID Data Using HyperLogLog Counters A Soliman, S Girdzijauskas, MR Bouguelia, S Pashami, S Nowaczyk Advances in Knowledge Discovery and Data Mining: 24th Pacific-Asia …, 2020	23	2020
TREFEX: Trend Estimation and Change Detection in the Response of MOX Gas Sensors S Pashami, AJ Lilienthal, E Schaffernicht, M Trincavelli Sensors 13 (6), 7323-7344, 2013	22	2013
Warranty claim rate prediction using logged vehicle data R Khoshkangini, S Pashami, S Nowaczyk Progress in Artificial Intelligence: 19th EPIA Conference on Artificial …, 2019	20	2019
Mode tracking using multiple data streams MR Bouguelia, A Karlsson, S Pashami, S Nowaczyk, A Holst Information Fusion 43, 33-46, 2018	18	2018
TD Kernel : Time‐Dependent Statistical Gas Distribution Modelling on Simulated Measurements S Asadi, S Pashami, A Loutfi, AJ Lilienthal AIP Conference Proceedings 1362 (1), 281-282, 2011	18	2011
Explainable Predictive Maintenance S Pashami, S Nowaczyk, Y Fan, J Jakubowski, N Paiva, N Davari, ... arXiv preprint arXiv:2306.05120, 2023	16	2023
Surrogate-Assisted Genetic Algorithm for Wrapper Feature Selection MG Altarabichi, S Nowaczyk, S Pashami, PS Mashhadi 2021 IEEE Congress on Evolutionary Computation (CEC), 776-785, 2021	15	2021
Learning Low-Dimensional Representation of Bivariate Histogram Data E Vaiciukynas, M Ulicny, S Pashami, S Nowaczyk IEEE Transactions on Intelligent Transportation Systems 19 (11), 3723-3735, 2018	15	2018

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