Sepideh Pashami

According to our database, Sepideh Pashami authored at least 47 papers between 2005 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Mind the Data, Measuring the Performance Gap Between Tree Ensembles and Deep Learning on Tabular Data.

Axel Karlsson, Tianze Wang, Slawomir Nowaczyk, Sepideh Pashami, Sahar Asadi

Proceedings of the Advances in Intelligent Data Analysis XXII, 2024

2023

Multi-domain adaptation for regression under conditional distribution shift.

Zahra Taghiyarrenani, Slawomir Nowaczyk, Sepideh Pashami, Mohamed-Rafik Bouguelia

Expert Syst. Appl., August, 2023

Pitfalls of assessing extracted hierarchies for multi-class classification.

Pablo del Moral, Slawomir Nowaczyk, Anita Pinheiro Sant'Anna, Sepideh Pashami

Pattern Recognit., April, 2023

Fast Genetic Algorithm for feature selection - A qualitative approximation approach.

Mohammed Ghaith Altarabichi, Slawomir Nowaczyk, Sepideh Pashami, Peyman Sheikholharam Mashhadi

Expert Syst. Appl., 2023

Forecasting Auxiliary Energy Consumption for Electric Heavy-Duty Vehicles.

Yuantao Fan, Zhenkan Wang, Sepideh Pashami, Slawomir Nowaczyk, Henrik Ydreskog

CoRR, 2023

Heterogeneous Federated Learning via Personalized Generative Networks.

Zahra Taghiyarrenani, Abdallah Alabdallah, Slawomir Nowaczyk, Sepideh Pashami

CoRR, 2023

Explainable Predictive Maintenance.

Sepideh Pashami, Slawomir Nowaczyk, Yuantao Fan, Jakub Jakubowski, Nuno Paiva, Narjes Davari, Szymon Bobek, Samaneh Jamshidi, Hamid Sarmadi, Abdallah Alabdallah, Rita P. Ribeiro, Bruno Veloso, Moamar Sayed Mouchaweh, Lala H. Rajaoarisoa, Grzegorz J. Nalepa, João Gama

CoRR, 2023

Why Industry 5.0 Needs XAI 2.0?

Szymon Bobek, Slawomir Nowaczyk, João Gama, Sepideh Pashami, Rita P. Ribeiro, Zahra Taghiyarrenani, Bruno Veloso, Lala H. Rajaoarisoa, Maciej Szelazek, Grzegorz J. Nalepa

Proceedings of the Joint Proceedings of the xAI-2023 Late-breaking Work, 2023

XAI for Predictive Maintenance.

João Gama, Slawomir Nowaczyk, Sepideh Pashami, Rita P. Ribeiro, Grzegorz J. Nalepa, Bruno Veloso

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Component attention network for multimodal dance improvisation recognition.

Jia Fu, Jiarui Tan, Wenjie Yin, Sepideh Pashami, Mårten Björkman

Proceedings of the 25th International Conference on Multimodal Interaction, 2023

Toward Solving Domain Adaptation with Limited Source Labeled Data.

Kunru Chen, Thorsteinn S. Rögnvaldsson, Slawomir Nowaczyk, Sepideh Pashami, Jonas Klang, Gustav Sternelöv

Proceedings of the IEEE International Conference on Data Mining, 2023

Towards Explainable Deep Domain Adaptation.

Szymon Bobek, Slawomir Nowaczyk, Sepideh Pashami, Zahra Taghiyarrenani, Grzegorz J. Nalepa

Proceedings of the Artificial Intelligence. ECAI 2023 International Workshops - XAI³, TACTIFUL, XI-ML, SEDAMI, RAAIT, AI4S, HYDRA, AI4AI, Kraków, Poland, September 30, 2023

2022

Semi-Supervised Learning for Forklift Activity Recognition from Controller Area Network (CAN) Signals.

Kunru Chen, Thorsteinn S. Rögnvaldsson, Slawomir Nowaczyk, Sepideh Pashami, Emilia Johansson, Gustav Sternelöv

Sensors, 2022

The Concordance Index decomposition: a measure for a deeper understanding of survival prediction models.

Abdallah Alabdallah, Mattias Ohlsson, Sepideh Pashami, Thorsteinn S. Rögnvaldsson

CoRR, 2022

Why Is Multiclass Classification Hard?

Pablo del Moral, Slawomir Nowaczyk, Sepideh Pashami

IEEE Access, 2022

An Explainable Knowledge-based AI Framework for Mobility as a Service.

Enayat Rajabi, Slawomir Nowaczyk, Sepideh Pashami, Magnus Bergquist

Proceedings of the 34th International Conference on Software Engineering and Knowledge Engineering, 2022

Siambert: Siamese Bert-based Code Search.

Francisco J. Peña, Angel Luis Gonzalez, Sepideh Pashami, Ahmad Al-Shishtawy, Amir Hossein Payberah

Proceedings of the Swedish Artificial Intelligence Society Workshop, 2022

Towards Geometry-Preserving Domain Adaptation for Fault Identification.

Zahra Taghiyarrenani, Slawomir Nowaczyk, Sepideh Pashami, Mohamed-Rafik Bouguelia

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2022

A Fault Detection Framework Based on LSTM Autoencoder: A Case Study for Volvo Bus Data Set.

Narjes Davari, Sepideh Pashami, Bruno Veloso, Slawomir Nowaczyk, Yuantao Fan, Pedro Mota Pereira, Rita P. Ribeiro, João Gama

Proceedings of the Advances in Intelligent Data Analysis XX, 2022

SurvSHAP: A Proxy-Based Algorithm for Explaining Survival Models with SHAP.

Abdallah Alabdallah, Sepideh Pashami, Thorsteinn S. Rögnvaldsson, Mattias Ohlsson

Proceedings of the 9th IEEE International Conference on Data Science and Advanced Analytics, 2022

2021

Parallel orthogonal deep neural network.

Peyman Sheikholharam Mashhadi, Slawomir Nowaczyk, Sepideh Pashami

Neural Networks, 2021

AI in Smart Cities: Challenges and approaches to enable road vehicle automation and smart traffic control.

Cristofer Englund, Eren Erdal Aksoy, Fernando Alonso-Fernandez, Martin Daniel Cooney, Sepideh Pashami, Björn Åstrand

CoRR, 2021

COCLUBERT: Clustering Machine Learning Source Code.

Marcus Hägglund, Francisco J. Peña, Sepideh Pashami, Ahmad Al-Shishtawy, Amir Hossein Payberah

Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021

Extracting Invariant Features for Predicting State of Health of Batteries in Hybrid Energy Buses.

Mohammed Ghaith Altarabichi, Yuantao Fan, Sepideh Pashami, Peyman Sheikholharam Mashhadi, Slawomir Nowaczyk

Proceedings of the 8th IEEE International Conference on Data Science and Advanced Analytics, 2021

Surrogate-Assisted Genetic Algorithm for Wrapper Feature Selection.

Mohammed Ghaith Altarabichi, Slawomir Nowaczyk, Sepideh Pashami, Peyman Sheikholharam Mashhadi

Proceedings of the IEEE Congress on Evolutionary Computation, 2021

2020

Early Prediction of Quality Issues in Automotive Modern Industry.

Reza Khoshkangini, Peyman Sheikholharam Mashhadi, Peter Berck, Saeed Gholami Shahbandi, Sepideh Pashami, Slawomir Nowaczyk, Tobias Niklasson

Inf., 2020

Avoiding Improper Treatment of Persons with Dementia by Care Robots.

Martin Cooney, Sepideh Pashami, Eric Järpe, Awais Ashfaq

CoRR, 2020

Forklift Truck Activity Recognition from CAN Data.

Kunru Chen, Sepideh Pashami, Slawomir Nowaczyk, Emilia Johansson, Gustav Sternelöv, Thorsteinn S. Rögnvaldsson

Proceedings of the IoT Streams for Data-Driven Predictive Maintenance and IoT, Edge, and Mobile for Embedded Machine Learning, 2020

Decentralized and Adaptive K-Means Clustering for Non-IID Data Using HyperLogLog Counters.

Amira Soliman, Sarunas Girdzijauskas, Mohamed-Rafik Bouguelia, Sepideh Pashami, Slawomir Nowaczyk

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020

Understanding Association Between Logged Vehicle Data and Vehicle Marketing Parameters: Using Clustering and Rule-Based Machine Learning.

Oskar Dahl, Fredrik Johansson, Reza Khoshkangini, Sepideh Pashami, Slawomir Nowaczyk, Pihl Claes

Proceedings of the IMMS 2020: 2020 3rd International Conference on Information Management and Management Science, 2020

2019

IDM-WSDM 2019: Workshop on Interactive Data Mining.

Alan Said, Denis Parra, Juhee Bae, Sepideh Pashami

Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

Interactive feature extraction for diagnostic trouble codes in predictive maintenance: A case study from automotive domain.

Parivash Pirasteh, Slawomir Nowaczyk, Sepideh Pashami, Magnus Löwenadler, Klas Thunberg, Henrik Ydreskog, Peter Berck

Proceedings of the Workshop on Interactive Data Mining, 2019

Incremental Causal Discovery and Visualization.

Anders Holst, Sepideh Pashami, Juhee Bae

Proceedings of the Workshop on Interactive Data Mining, 2019

Eliciting Structures in Data.

Ahmad Al-Shishtawy, Juhee Bae, Mohamed-Rafik Bouguelia, Göran Falkman, Sarunas Girdzijauskas, Olof Gönerup, Anders Holst, Alexander Karlsson, Slawomir Nowaczyk, Sepideh Pashami, Alan Said, Amira A. Soliman El Hosary

Proceedings of the Joint Proceedings of the ACM IUI 2019 Workshops co-located with the 24th ACM Conference on Intelligent User Interfaces (ACM IUI 2019), 2019

Warranty Claim Rate Prediction Using Logged Vehicle Data.

Reza Khoshkangini, Sepideh Pashami, Slawomir Nowaczyk

Proceedings of the Progress in Artificial Intelligence, 2019

Predicting Air Compressor Failures Using Long Short Term Memory Networks.

Kunru Chen, Sepideh Pashami, Yuantao Fan, Slawomir Nowaczyk

Proceedings of the Progress in Artificial Intelligence, 2019

2018

Learning Low-Dimensional Representation of Bivariate Histogram Data.

Evaldas Vaiciukynas, Matej Ulicny, Sepideh Pashami, Slawomir Nowaczyk

IEEE Trans. Intell. Transp. Syst., 2018

Mode tracking using multiple data streams.

Mohamed-Rafik Bouguelia, Alexander Karlsson, Sepideh Pashami, Slawomir Nowaczyk, Anders Holst

Inf. Fusion, 2018

Pitfalls of Affective Computing: How can the automatic visual communication of emotions lead to harm, and what can be done to mitigate such risks.

Martin Cooney, Sepideh Pashami, Anita Pinheiro Sant'Anna, Yuantao Fan, Slawomir Nowaczyk

Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

2017

Exploring home robot capabilities by medium fidelity prototyping.

Martin Cooney, Sepideh Pashami, Yuantao Fan, Anita Pinheiro Sant'Anna, Yinrong Ma, Tianyi Zhang, Yuwei Zhao, Wolfgang Hotze, Jeremy Heyne, Cristofer Englund, Achim J. Lilienthal, Tom Ziemke

CoRR, 2017

Multi-Task Representation Learning.

Mohamed-Rafik Bouguelia, Sepideh Pashami, Slawomir Nowaczyk

Proceedings of the 30th Annual Workshop of the Swedish Artificial Intelligence Society, 2017

2016

Supporting Analytical Reasoning - A Study from the Automotive Industry.

Tove Helldin, Maria Riveiro, Sepideh Pashami, Göran Falkman, Stefan Byttner, Slawomir Nowaczyk

Proceedings of the Human Interface and the Management of Information: Applications and Services, 2016

2015

Change detection in metal oxide gas sensor signals for open sampling systems.

Sepideh Pashami

PhD thesis, 2015

2013

TREFEX: Trend Estimation and Change Detection in the Response of MOX Gas Sensors.

Sepideh Pashami, Achim J. Lilienthal, Erik Schaffernicht, Marco Trincavelli

Sensors, 2013

2012

Detecting Changes of a Distant Gas Source with an Array of MOX Gas Sensors.

Sepideh Pashami, Achim J. Lilienthal, Marco Trincavelli

Sensors, 2012

2011

ICT solutions supporting collaborative information acquisition, situation assessment and decision making in contemporary environmental management problems: the DIADEM approach.

Sahar Asadi, Costin Badica, Tina Comes, Claudine Conrado, Vanessa Evers, Frans C. A. Groen, Sorin Ilie, Jan Steen Jensen, Achim J. Lilienthal, Bianca Milan, Thomas Neidhart, Kees Nieuwenhuis, Sepideh Pashami, Gregor Pavlin, Jan Pehrsson, Rani Pinchuk, Mihnea Scafes, Leo Schou-Jensen, Frank Schultmann, Niek J. E. Wijngaards

Proceedings of the Innovations in Sharing Environmental Observations and Information: Proceedings of the 25th International Conference on Informatics for Environmental Protection, 2011

2005

Dynamic Positioning Based on Voronoi Cells (DPVC).

HesamAddin Dashti, Nima Aghaeepour, Sahar Asadi, Meysam Bastani, Zahra Delafkar, Fatemeh Miri Disfani, Serveh Ghaderi, Shahin Kamali, Sepideh Pashami, Alireza Siahpirani

Proceedings of the RoboCup 2005: Robot Soccer World Cup IX, 2005