Sepideh Pashami

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 56

Top Topics

Activity Recognition

Top Venues

GECCO Companion

Publications

Abdallah Alabdallah, Mattias Ohlsson, Sepideh Pashami, Thorsteinn S. Rögnvaldsson
The Concordance Index decomposition: A measure for a deeper understanding of survival prediction models. Artif. Intell. Medicine 148 (2024)
Axel Karlsson, Tianze Wang, Slawomir Nowaczyk, Sepideh Pashami, Sahar Asadi
Mind the Data, Measuring the Performance Gap Between Tree Ensembles and Deep Learning on Tabular Data. IDA (1) (2024)
Abdallah Alabdallah, Omar Hamed, Mattias Ohlsson, Thorsteinn S. Rögnvaldsson, Sepideh Pashami
CoxSE: Exploring the Potential of Self-Explaining Neural Networks with Cox Proportional Hazards Model for Survival Analysis. CoRR (2024)
Jakub Jakubowski, Natalia Wojak-Strzelecka, Rita P. Ribeiro, Sepideh Pashami, Szymon Bobek, João Gama, Grzegorz J. Nalepa
Artificial Intelligence Approaches for Predictive Maintenance in the Steel Industry: A Survey. CoRR (2024)
Abdallah Alabdallah, Jakub Jakubowski, Sepideh Pashami, Szymon Bobek, Mattias Ohlsson, Thorsteinn S. Rögnvaldsson, Grzegorz J. Nalepa
Understanding Survival Models Through Counterfactual Explanations. ICCS (4) (2024)
Mohammed Ghaith Altarabichi, Abdallah Alabdallah, Sepideh Pashami, Thorsteinn S. Rögnvaldsson, Slawomir Nowaczyk, Mattias Ohlsson
Improving Concordance Index in Regression-based Survival Analysis: Evolutionary Discovery of Loss Function for Neural Networks. GECCO Companion (2024)
Mohammed Ghaith Altarabichi, Slawomir Nowaczyk, Sepideh Pashami, Peyman Sheikholharam Mashhadi, Julia Handl
A Review of Randomness Techniques in Deep Neural Networks. GECCO Companion (2024)
Mohammed Ghaith Altarabichi, Slawomir Nowaczyk, Sepideh Pashami, Peyman Sheikholharam Mashhadi, Julia Handl
Rolling the dice for better deep learning performance: A study of randomness techniques in deep neural networks. CoRR (2024)
Mohammed Ghaith Altarabichi, Slawomir Nowaczyk, Sepideh Pashami, Peyman Sheikholharam Mashhadi, Julia Handl
Rolling the dice for better deep learning performance: A study of randomness techniques in deep neural networks. Inf. Sci. 667 (2024)
Mohammed Ghaith Altarabichi, Slawomir Nowaczyk, Sepideh Pashami, Peyman Sheikholharam Mashhadi
Fast Genetic Algorithm for feature selection - A qualitative approximation approach. CoRR (2024)
João Gama, Slawomir Nowaczyk, Sepideh Pashami, Rita P. Ribeiro, Grzegorz J. Nalepa, Bruno Veloso
XAI for Predictive Maintenance. KDD (2023)
Zahra Taghiyarrenani, Abdallah Alabdallah, Slawomir Nowaczyk, Sepideh Pashami
Heterogeneous Federated Learning via Personalized Generative Networks. CoRR (2023)
Kunru Chen, Thorsteinn S. Rögnvaldsson, Slawomir Nowaczyk, Sepideh Pashami, Jonas Klang, Gustav Sternelöv
Material handling machine activity recognition by context ensemble with gated recurrent units. Eng. Appl. Artif. Intell. 126 (2023)
Yuantao Fan, Zhenkan Wang, Sepideh Pashami, Slawomir Nowaczyk, Henrik Ydreskog
Forecasting Auxiliary Energy Consumption for Electric Heavy-Duty Vehicles. CoRR (2023)
Szymon Bobek, Slawomir Nowaczyk, João Gama, Sepideh Pashami, Rita P. Ribeiro, Zahra Taghiyarrenani, Bruno Veloso, Lala H. Rajaoarisoa, Maciej Szelazek, Grzegorz J. Nalepa
Why Industry 5.0 Needs XAI 2.0? xAI (Late-breaking Work, Demos, Doctoral Consortium) (2023)
Zahra Taghiyarrenani, Slawomir Nowaczyk, Sepideh Pashami, Mohamed-Rafik Bouguelia
Multi-domain adaptation for regression under conditional distribution shift. Expert Syst. Appl. 224 (2023)
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
Explainable Predictive Maintenance. CoRR (2023)
Mohammed Ghaith Altarabichi, Slawomir Nowaczyk, Sepideh Pashami, Peyman Sheikholharam Mashhadi
Fast Genetic Algorithm for feature selection - A qualitative approximation approach. Expert Syst. Appl. 211 (2023)
Pablo del Moral, Slawomir Nowaczyk, Anita Pinheiro Sant'Anna, Sepideh Pashami
Pitfalls of assessing extracted hierarchies for multi-class classification. Pattern Recognit. 136 (2023)
Jia Fu, Jiarui Tan, Wenjie Yin, Sepideh Pashami, Mårten Björkman
Component attention network for multimodal dance improvisation recognition. ICMI (2023)
Jia Fu, Jiarui Tan, Wenjie Yin, Sepideh Pashami, Mårten Björkman
Component attention network for multimodal dance improvisation recognition. CoRR (2023)
Kunru Chen, Thorsteinn S. Rögnvaldsson, Slawomir Nowaczyk, Sepideh Pashami, Jonas Klang, Gustav Sternelöv
Toward Solving Domain Adaptation with Limited Source Labeled Data. ICDM (Workshops) (2023)
Szymon Bobek, Slawomir Nowaczyk, Sepideh Pashami, Zahra Taghiyarrenani, Grzegorz J. Nalepa
Towards Explainable Deep Domain Adaptation. ECAI Workshops (1) (2023)
Mohammed Ghaith Altarabichi, Slawomir Nowaczyk, Sepideh Pashami, Peyman Sheikholharam Mashhadi
Fast Genetic Algorithm for feature selection - A qualitative approximation approach. GECCO Companion (2023)
Narjes Davari, Sepideh Pashami, Bruno Veloso, Slawomir Nowaczyk, Yuantao Fan, Pedro Mota Pereira, Rita P. Ribeiro, João Gama
A Fault Detection Framework Based on LSTM Autoencoder: A Case Study for Volvo Bus Data Set. IDA (2022)
Abdallah Alabdallah, Mattias Ohlsson, Sepideh Pashami, Thorsteinn S. Rögnvaldsson
The Concordance Index decomposition: a measure for a deeper understanding of survival prediction models. CoRR (2022)
Enayat Rajabi, Slawomir Nowaczyk, Sepideh Pashami, Magnus Bergquist
An Explainable Knowledge-based AI Framework for Mobility as a Service. SEKE (2022)
Pablo del Moral, Slawomir Nowaczyk, Sepideh Pashami
Why Is Multiclass Classification Hard? IEEE Access 10 (2022)
Kunru Chen, Thorsteinn S. Rögnvaldsson, Slawomir Nowaczyk, Sepideh Pashami, Emilia Johansson, Gustav Sternelöv
Semi-Supervised Learning for Forklift Activity Recognition from Controller Area Network (CAN) Signals. Sensors 22 (11) (2022)
Zahra Taghiyarrenani, Slawomir Nowaczyk, Sepideh Pashami, Mohamed-Rafik Bouguelia
Towards Geometry-Preserving Domain Adaptation for Fault Identification. PKDD/ECML Workshops (2) (2022)
Abdallah Alabdallah, Sepideh Pashami, Thorsteinn S. Rögnvaldsson, Mattias Ohlsson
SurvSHAP: A Proxy-Based Algorithm for Explaining Survival Models with SHAP. DSAA (2022)
Francisco J. Peña, Angel Luis Gonzalez, Sepideh Pashami, Ahmad Al-Shishtawy, Amir H. Payberah
Siambert: Siamese Bert-based Code Search. SAIS (2022)
Cristofer Englund, Eren Erdal Aksoy, Fernando Alonso-Fernandez, Martin Daniel Cooney, Sepideh Pashami, Björn Åstrand
AI in Smart Cities: Challenges and approaches to enable road vehicle automation and smart traffic control. CoRR (2021)
Pablo del Moral, Slawomir Nowaczyk, Anita Pinheiro Sant'Anna, Sepideh Pashami
Pitfalls of Assessing Extracted Hierarchies for Multi-Class Classification. CoRR (2021)
Peyman Sheikholharam Mashhadi, Slawomir Nowaczyk, Sepideh Pashami
Parallel orthogonal deep neural network. Neural Networks 140 (2021)
Mohammed Ghaith Altarabichi, Slawomir Nowaczyk, Sepideh Pashami, Peyman Sheikholharam Mashhadi
Surrogate-Assisted Genetic Algorithm for Wrapper Feature Selection. CEC (2021)
Mohammed Ghaith Altarabichi, Slawomir Nowaczyk, Sepideh Pashami, Peyman Sheikholharam Mashhadi
Surrogate-Assisted Genetic Algorithm for Wrapper Feature Selection. CoRR (2021)
Mohammed Ghaith Altarabichi, Yuantao Fan, Sepideh Pashami, Peyman Sheikholharam Mashhadi, Slawomir Nowaczyk
Extracting Invariant Features for Predicting State of Health of Batteries in Hybrid Energy Buses. DSAA (2021)
Marcus Hägglund, Francisco J. Peña, Sepideh Pashami, Ahmad Al-Shishtawy, Amir H. Payberah
COCLUBERT: Clustering Machine Learning Source Code. ICMLA (2021)
Martin Cooney, Sepideh Pashami, Eric Järpe, Awais Ashfaq
Avoiding Improper Treatment of Persons with Dementia by Care Robots. CoRR (2020)
Reza Khoshkangini, Peyman Sheikholharam Mashhadi, Peter Berck, Saeed Gholami Shahbandi, Sepideh Pashami, Slawomir Nowaczyk, Tobias Niklasson
Early Prediction of Quality Issues in Automotive Modern Industry. Inf. 11 (7) (2020)
Oskar Dahl, Fredrik Johansson, Reza Khoshkangini, Sepideh Pashami, Slawomir Nowaczyk, Pihl Claes
Understanding Association Between Logged Vehicle Data and Vehicle Marketing Parameters: Using Clustering and Rule-Based Machine Learning. IMMS (2020)
Kunru Chen, Sepideh Pashami, Slawomir Nowaczyk, Emilia Johansson, Gustav Sternelöv, Thorsteinn S. Rögnvaldsson
Forklift Truck Activity Recognition from CAN Data. IoT Streams/ITEM@PKDD/ECML (2020)
Amira Soliman, Sarunas Girdzijauskas, Mohamed-Rafik Bouguelia, Sepideh Pashami, Slawomir Nowaczyk
Decentralized and Adaptive K-Means Clustering for Non-IID Data Using HyperLogLog Counters. PAKDD (1) (2020)
Parivash Pirasteh, Slawomir Nowaczyk, Sepideh Pashami, Magnus Löwenadler, Klas Thunberg, Henrik Ydreskog, Peter Berck
Interactive feature extraction for diagnostic trouble codes in predictive maintenance: A case study from automotive domain. IDM@WSDM (2019)
Kunru Chen, Sepideh Pashami, Yuantao Fan, Slawomir Nowaczyk
Predicting Air Compressor Failures Using Long Short Term Memory Networks. EPIA (1) (2019)
Anders Holst, Sepideh Pashami, Juhee Bae
Incremental Causal Discovery and Visualization. IDM@WSDM (2019)
Alan Said, Denis Parra, Juhee Bae, Sepideh Pashami
IDM-WSDM 2019: Workshop on Interactive Data Mining. WSDM (2019)
Reza Khoshkangini, Sepideh Pashami, Slawomir Nowaczyk
Warranty Claim Rate Prediction Using Logged Vehicle Data. EPIA (1) (2019)
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
Eliciting Structures in Data. IUI Workshops (2019)
Mohamed-Rafik Bouguelia, Alexander Karlsson, Sepideh Pashami, Slawomir Nowaczyk, Anders Holst
Mode tracking using multiple data streams. Inf. Fusion 43 (2018)
Martin Cooney, Sepideh Pashami, Anita Pinheiro Sant'Anna, Yuantao Fan, Slawomir Nowaczyk
Pitfalls of Affective Computing: How can the automatic visual communication of emotions lead to harm, and what can be done to mitigate such risks. WWW (Companion Volume) (2018)
Evaldas Vaiciukynas, Matej Ulicny, Sepideh Pashami, Slawomir Nowaczyk
Learning Low-Dimensional Representation of Bivariate Histogram Data. IEEE Trans. Intell. Transp. Syst. 19 (11) (2018)
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
Exploring home robot capabilities by medium fidelity prototyping. CoRR (2017)
Mohamed-Rafik Bouguelia, Sepideh Pashami, Slawomir Nowaczyk
Multi-Task Representation Learning. SAIS (2017)
Tove Helldin, Maria Riveiro, Sepideh Pashami, Göran Falkman, Stefan Byttner, Slawomir Nowaczyk
Supporting Analytical Reasoning - A Study from the Automotive Industry. HCI (5) (2016)
Sepideh Pashami, Achim J. Lilienthal, Erik Schaffernicht, Marco Trincavelli
TREFEX: Trend Estimation and Change Detection in the Response of MOX Gas Sensors. Sensors 13 (6) (2013)
Sepideh Pashami, Achim J. Lilienthal, Marco Trincavelli
Detecting Changes of a Distant Gas Source with an Array of MOX Gas Sensors. Sensors 12 (12) (2012)
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
ICT solutions supporting collaborative information acquisition, situation assessment and decision making in contemporary environmental management problems: the DIADEM approach. EnviroInfo (2011)
HesamAddin Dashti, Nima Aghaeepour, Sahar Asadi, Meysam Bastani, Zahra Delafkar, Fatemeh Miri Disfani, Serveh Ghaderi, Shahin Kamali, Sepideh Pashami, Alireza Siahpirani
Dynamic Positioning Based on Voronoi Cells (DPVC). RoboCup (2005)