Sepideh Pashami

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

Zweryfikowany adres z hh.se - Strona główna

Machine Learning Causal Inference Explainable AI Transfer Learning Robust ML


Tytuł Sortuj wg cytatów Sortuj wg roku Sortuj wg tytułu	Cytowane przez Cytowane przez	Rok
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	55	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
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
Multi-domain adaptation for regression under conditional distribution shift Z Taghiyarrenani, S Nowaczyk, S Pashami, MR Bouguelia Expert Systems with Applications 224, 119907, 2023	18	2023
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	15	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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