Sepideh Pashami

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Slawomir NowaczykProfessor, Center for Applied Intelligent Systems Research, Halmstad UniversityVerificeret mail på hh.se
Peyman Sheikholharam MashhadiSenior Lecturer, Center for Applied Intelligent Systems Research, Halmstad UniversityVerificeret mail på hh.se
Achim J. LilienthalProfessor of Computer Science at Technical University of Munich and Örebro UniversityVerificeret mail på oru.se
Yuantao FanHalmstad UniversityVerificeret mail på hh.se
Mohammed Ghaith AltarabichiPostdoc, Center for Applied Intelligent Systems Research, Halmstad UniversityVerificeret mail på hh.se
Thorsteinn RögnvaldssonProfessor of Computer Science, Halmstad UniversityVerificeret mail på hh.se
Mohamed-Rafik BougueliaAssociate Professor, Halmstad University, SwedenVerificeret mail på hh.se
Abdallah AlabdallahPhD Student, Halmstad UniversityVerificeret mail på hh.se
Sahar AsadiDirector of AI Labs at King, Microsoft GamingVerificeret mail på king.com
Pablo del MoralPhD student at Halmstad UniversityVerificeret mail på hh.se
Anders HolstRISE Research Institutes of SwedenVerificeret mail på ri.se
Martin CooneySenior Lecturer, Halmstad UniversityVerificeret mail på hh.se
Zahra (Nasrin) TaghiyarrenaniPostdoctoral researcherVerificeret mail på hh.se
Kunru ChenPh.D Student, Halmstand UniversityVerificeret mail på hh.se
Reza KhoshkanginiSenior Lecturer-Malmö UniversityVerificeret mail på mau.se
Cristofer EnglundHalmstad UniversityVerificeret mail på 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

Verificeret mail på hh.se - Startside

Machine Learning Causal Inference Explainable AI Transfer Learning Robust ML


Titel Sortér efter henvisninger Sortér efter årstal Sortér efter titel	Citeret af Citeret af	År
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	55	2023
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
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	46	2021
Why Is Multiclass Classification Hard? P Del Moral, S Nowaczyk, S Pashami IEEE Access 10, 80448-80462, 2022	39	2022
Early prediction of quality issues in automotive modern industry R Khoshkangini, P Sheikholharam Mashhadi, P Berck, ... Information 11 (7), 354, 2020	37	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	33	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	32	2019
Stacked ensemble of recurrent neural networks for predicting turbocharger remaining useful life PS Mashhadi, S Nowaczyk, S Pashami Applied Sciences 10 (1), 69, 2019	25	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
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
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	21	2019
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	19	2024
Warranty claim rate prediction using logged vehicle data R Khoshkangini, S Pashami, S Nowaczyk Progress in Artificial Intelligence: 19th EPIA Conference on Artificial …, 2019	19	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
Multi-domain adaptation for regression under conditional distribution shift Z Taghiyarrenani, S Nowaczyk, S Pashami, MR Bouguelia Expert Systems with Applications 224, 119907, 2023	16	2023
Pitfalls of Affective Computing: How can the automatic visual communication of emotions lead to harm, and what can be done to mitigate such risks? M Cooney, S Pashami, A Pinheiro Sant'Anna, Y Fan, S Nowaczyk The Web Conference 2018 (WWW'18), Lyon, France, April 23-27, 2018, 1563-1566, 2018	16	2018
Explainable Predictive Maintenance S Pashami, S Nowaczyk, Y Fan, J Jakubowski, N Paiva, N Davari, ... arXiv preprint arXiv:2306.05120, 2023	14	2023
Parallel orthogonal deep neural network PS Mashhadi, S Nowaczyk, S Pashami Neural Networks 140, 167-183, 2021	14	2021

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