Sepideh Pashami
Sepideh Pashami
Assistant Professor, Halmstad University
Verified email at - Homepage
Cited by
Cited by
Dynamic positioning based on voronoi cells (dpvc)
HAT Dashti, N Aghaeepour, S Asadi, M Bastani, Z Delafkar, FM Disfani, ...
Robot Soccer World Cup, 219-229, 2005
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
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
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
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
ICT solutions supporting collaborative information acquisition, situation assessment and decision making in contemporary environmental management problems: the DIADEM approach
S Asadi, C Badica, T Comes, C Conrado, V Evers, F Groen, S Illie, ...
Conference on Innovations in Sharing Environmental Observation and …, 2011
Mode tracking using multiple data streams
MR Bouguelia, A Karlsson, S Pashami, S Nowaczyk, A Holst
Information Fusion 43, 33-46, 2018
Bringing artificial olfaction and mobile robotics closer together—an integrated 3D gas dispersion simulator in ROS
A Khaliq, S Pashami, E Schaffernicht, A Lilienthal, VH Bennetts
Proceedings of the 16th International Symposium on Olfaction and Electronic …, 2015
Stacked Ensemble of Recurrent Neural Networks for Predicting Turbocharger Remaining Useful Life
PS Mashhadi, S Nowaczyk, S Pashami
Applied Sciences 10 (1), 69, 2020
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
Predicting Air Compressor Failures Using Long Short Term Memory Networks
K Chen, S Pashami, Y Fan, S Nowaczyk
EPIA Conference on Artificial Intelligence, 596-609, 2019
Warranty Claim Rate Prediction Using Logged Vehicle Data
R Khoshkangini, S Pashami, S Nowaczyk
EPIA Conference on Artificial Intelligence, 663-674, 2019
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
Early prediction of quality issues in automotive modern industry
R Khoshkangini, P Sheikholharam Mashhadi, P Berck, ...
Information 11 (7), 354, 2020
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 12084, 343, 2020
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
Causal discovery using clusters from observational data
S Pashami, A Holst, S Nowaczyk, J Bae
FAIM'18 Workshop on CausalML, 2018
Change detection in metal oxide gas sensor signals for open sampling systems
S Pashami
Örebro university, 2015
Parallel orthogonal deep neural network
PS Mashhadi, S Nowaczyk, S Pashami
Neural Networks 140, 167-183, 2021
Understanding Association Between Logged Vehicle Data and Vehicle Marketing Parameters--Using Clustering and Rule-Based Machine Learning
O Dahl, F Johansson, R Khoshkangini, S Pashami, S Nowaczyk, C Pihl
The 3rd International Conference on Information Management and Processing …, 2020
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