Sepideh Pashami

76 papers A* 1A 2B 8C 3Journal 31Unranked 24

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	CoxSE: Exploring the potential of self-explaining neural networks with Cox proportional hazards model for survival analysis. Knowl. Based Syst. Abdallah Alabdallah, Omar Hamed, Mattias Ohlsson, Thorsteinn S. Rögnvaldsson, Sepideh Pashami
2026	—	`ed.`	Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track - European Conference, ECML PKDD 2025, Porto, Portugal, September 15-19, 2025, Proceedings, Part IX ECML/PKDD (9) Inês Dutra, Mykola Pechenizkiy, Paulo Cortez, Sepideh Pashami, Alípio M. Jorge, Carlos Soares, Pedro H. Abreu, João Gama
2026	—	`ed.`	Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track and Demo Track - European Conference, ECML PKDD 2025, Porto, Portugal, September 15-19, 2025, Proceedings, Part X ECML/PKDD (10) Inês Dutra, Mykola Pechenizkiy, Paulo Cortez, Sepideh Pashami, Arian Pasquali, Nuno Moniz, Alípio M. Jorge, Carlos Soares, Pedro H. Abreu, João Gama
2026	—	`ed.`	Machine Learning and Knowledge Discovery in Databases. Research Track and Applied Data Science Track - European Conference, ECML PKDD 2025, Porto, Portugal, September 15-19, 2025, Proceedings, Part VIII ECML/PKDD (8) Bernhard Pfahringer, Nathalie Japkowicz, Pedro Larrañaga, Rita P. Ribeiro, Inês Dutra, Mykola Pechenizkiy, Paulo Cortez, Sepideh Pashami, Alípio M. Jorge, Carlos Soares, Pedro H. Abreu, João Gama
2026	B	`conf`	NTS-DAGMA: A Score-Based Causal Discovery for Anomaly Detection. IDA Navin Vincent, Abhishek Srinivasan, Anders Holst, Sepideh Pashami
2025	B	`conf`	Assessing the Graph Structure Learning in Graph Deviation Networks. IDA Canberk Ozen, Slawomir Nowaczyk, Prayag Tiwari, Sepideh Pashami
2025	J	`jnl`	DiffCAP: Diffusion-based Cumulative Adversarial Purification for Vision Language Models. CoRR Jia Fu, Yongtao Wu, Yihang Chen, Kunyu Peng, Xiao Zhang, Volkan Cevher, Sepideh Pashami, Anders Holst
2025	A	`conf`	DiffPAD: Denoising Diffusion-Based Adversarial Patch Decontamination. WACV Jia Fu, Xiao Zhang, Sepideh Pashami, Fatemeh Rahimian, Anders Holst
2025	B	`conf`	Pragmatic Paradigm for Multi-stream Regression. IDA Nuwan Gunasekara, Slawomir Nowaczyk, Sepideh Pashami
2024	—	`conf`	A Review of Randomness Techniques in Deep Neural Networks. GECCO Companion Mohammed Ghaith Altarabichi, Slawomir Nowaczyk, Sepideh Pashami, Peyman Sheikholharam Mashhadi, Julia Handl
2024	J	`jnl`	Artificial Intelligence Approaches for Predictive Maintenance in the Steel Industry: A Survey. CoRR Jakub Jakubowski, Natalia Wojak-Strzelecka, Rita P. Ribeiro, Sepideh Pashami, Szymon Bobek, João Gama, Grzegorz J. Nalepa
2024	J	`jnl`	CoxSE: Exploring the Potential of Self-Explaining Neural Networks with Cox Proportional Hazards Model for Survival Analysis. CoRR Abdallah Alabdallah, Omar Hamed, Mattias Ohlsson, Thorsteinn S. Rögnvaldsson, Sepideh Pashami
2024	J	`jnl`	DiffPAD: Denoising Diffusion-based Adversarial Patch Decontamination. CoRR Jia Fu, Xiao Zhang, Sepideh Pashami, Fatemeh Rahimian, Anders Holst
2024	—	`conf`	Evaluating Multi-task Curriculum Learning for Forecasting Energy Consumption in Electric Heavy-duty Vehicles. HAII5.0@ECAI Yuantao Fan, Zhenkan Wang, Sepideh Pashami, Slawomir Nowaczyk
2024	J	`jnl`	Fast Genetic Algorithm for feature selection - A qualitative approximation approach. CoRR Mohammed Ghaith Altarabichi, Slawomir Nowaczyk, Sepideh Pashami, Peyman Sheikholharam Mashhadi
2024	—	`conf`	Improving Concordance Index in Regression-based Survival Analysis: Evolutionary Discovery of Loss Function for Neural Networks. GECCO Companion Mohammed Ghaith Altarabichi, Abdallah Alabdallah, Sepideh Pashami, Thorsteinn S. Rögnvaldsson, Slawomir Nowaczyk, Mattias Ohlsson
2024	—	`conf`	Invariant Feature Selection for Battery State of Health Estimation in Heterogeneous Hybrid Electric Bus Fleets. HAII5.0@ECAI Yuantao Fan, Mohammed Ghaith Altarabichi, Sepideh Pashami, Peyman Sheikholharam Mashhadi, Slawomir Nowaczyk
2024	—	`conf`	Mind the Data, Measuring the Performance Gap Between Tree Ensembles and Deep Learning on Tabular Data. IDA (1) Axel Karlsson, Tianze Wang, Slawomir Nowaczyk, Sepideh Pashami, Sahar Asadi
2024	J	`jnl`	Rolling the dice for better deep learning performance: A study of randomness techniques in deep neural networks. CoRR Mohammed Ghaith Altarabichi, Slawomir Nowaczyk, Sepideh Pashami, Peyman Sheikholharam Mashhadi, Julia Handl
2024	J	`jnl`	Rolling the dice for better deep learning performance: A study of randomness techniques in deep neural networks. Inf. Sci. Mohammed Ghaith Altarabichi, Slawomir Nowaczyk, Sepideh Pashami, Peyman Sheikholharam Mashhadi, Julia Handl
2024	J	`jnl`	The Concordance Index decomposition: A measure for a deeper understanding of survival prediction models. Artif. Intell. Medicine Abdallah Alabdallah, Mattias Ohlsson, Sepideh Pashami, Thorsteinn S. Rögnvaldsson
2024	—	`conf`	Understanding Survival Models Through Counterfactual Explanations. ICCS (4) Abdallah Alabdallah, Jakub Jakubowski, Sepideh Pashami, Szymon Bobek, Mattias Ohlsson, Thorsteinn S. Rögnvaldsson, Grzegorz J. Nalepa
2023	B	`conf`	Component attention network for multimodal dance improvisation recognition. ICMI Jia Fu, Jiarui Tan, Wenjie Yin, Sepideh Pashami, Mårten Björkman
2023	J	`jnl`	Component attention network for multimodal dance improvisation recognition. CoRR Jia Fu, Jiarui Tan, Wenjie Yin, Sepideh Pashami, Mårten Björkman
2023	J	`jnl`	Explainable Predictive Maintenance. CoRR 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
2023	—	`conf`	Fast Genetic Algorithm for feature selection - A qualitative approximation approach. GECCO Companion Mohammed Ghaith Altarabichi, Slawomir Nowaczyk, Sepideh Pashami, Peyman Sheikholharam Mashhadi
2023	J	`jnl`	Fast Genetic Algorithm for feature selection - A qualitative approximation approach. Expert Syst. Appl. Mohammed Ghaith Altarabichi, Slawomir Nowaczyk, Sepideh Pashami, Peyman Sheikholharam Mashhadi
2023	J	`jnl`	Forecasting Auxiliary Energy Consumption for Electric Heavy-Duty Vehicles. CoRR Yuantao Fan, Zhenkan Wang, Sepideh Pashami, Slawomir Nowaczyk, Henrik Ydreskog
2023	J	`jnl`	Heterogeneous Federated Learning via Personalized Generative Networks. CoRR Zahra Taghiyarrenani, Abdallah Alabdallah, Slawomir Nowaczyk, Sepideh Pashami
2023	—	`ed.`	Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2022, Grenoble, France, September 19-23, 2022, Proceedings, Part I PKDD/ECML Workshops (1) Irena Koprinska, Paolo Mignone, Riccardo Guidotti, Szymon Jaroszewicz, Holger Fröning, Francesco Gullo, Pedro M. Ferreira, Damian Roqueiro, Gaia Ceddia, Slawomir Nowaczyk, João Gama, Rita P. Ribeiro, Ricard Gavaldà, Elio Masciari, Zbigniew W. Ras, Ettore Ritacco, Francesca Naretto, Andreas Theissler, Przemyslaw Biecek, Wouter Verbeke, Gregor Schiele, Franz Pernkopf, Michaela Blott, Ilaria Bordino, Ivan Luciano Danesi, Giovanni Ponti, Lorenzo Severini, Annalisa Appice, Giuseppina Andresini, Ibéria Medeiros, Guilherme Graça, Lee Cooper, Naghmeh Ghazaleh, Jonas Richiardi, Diego Saldana Miranda, Konstantinos Sechidis, Arif Canakoglu, Sara Pidò, Pietro Pinoli, Albert Bifet, Sepideh Pashami
2023	—	`ed.`	Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2022, Grenoble, France, September 19-23, 2022, Proceedings, Part II PKDD/ECML Workshops (2) Irena Koprinska, Paolo Mignone, Riccardo Guidotti, Szymon Jaroszewicz, Holger Fröning, Francesco Gullo, Pedro M. Ferreira, Damian Roqueiro, Gaia Ceddia, Slawomir Nowaczyk, João Gama, Rita P. Ribeiro, Ricard Gavaldà, Elio Masciari, Zbigniew W. Ras, Ettore Ritacco, Francesca Naretto, Andreas Theissler, Przemyslaw Biecek, Wouter Verbeke, Gregor Schiele, Franz Pernkopf, Michaela Blott, Ilaria Bordino, Ivan Luciano Danesi, Giovanni Ponti, Lorenzo Severini, Annalisa Appice, Giuseppina Andresini, Ibéria Medeiros, Guilherme Graça, Lee Cooper, Naghmeh Ghazaleh, Jonas Richiardi, Diego Saldana Miranda, Konstantinos Sechidis, Arif Canakoglu, Sara Pidò, Pietro Pinoli, Albert Bifet, Sepideh Pashami
2023	J	`jnl`	Material handling machine activity recognition by context ensemble with gated recurrent units. Eng. Appl. Artif. Intell. Kunru Chen, Thorsteinn S. Rögnvaldsson, Slawomir Nowaczyk, Sepideh Pashami, Jonas Klang, Gustav Sternelöv
2023	J	`jnl`	Multi-domain adaptation for regression under conditional distribution shift. Expert Syst. Appl. Zahra Taghiyarrenani, Slawomir Nowaczyk, Sepideh Pashami, Mohamed-Rafik Bouguelia
2023	J	`jnl`	Pitfalls of assessing extracted hierarchies for multi-class classification. Pattern Recognit. Pablo del Moral, Slawomir Nowaczyk, Anita Pinheiro Sant'Anna, Sepideh Pashami
2023	—	`conf`	Toward Solving Domain Adaptation with Limited Source Labeled Data. ICDM (Workshops) Kunru Chen, Thorsteinn S. Rögnvaldsson, Slawomir Nowaczyk, Sepideh Pashami, Jonas Klang, Gustav Sternelöv
2023	—	`conf`	Towards Explainable Deep Domain Adaptation. ECAI Workshops (1) Szymon Bobek, Slawomir Nowaczyk, Sepideh Pashami, Zahra Taghiyarrenani, Grzegorz J. Nalepa
2023	—	`conf`	Why Industry 5.0 Needs XAI 2.0? xAI (Late-breaking Work, Demos, Doctoral Consortium) Szymon Bobek, Slawomir Nowaczyk, João Gama, Sepideh Pashami, Rita P. Ribeiro, Zahra Taghiyarrenani, Bruno Veloso, Lala H. Rajaoarisoa, Maciej Szelazek, Grzegorz J. Nalepa
2023	A*	`conf`	XAI for Predictive Maintenance. KDD João Gama, Slawomir Nowaczyk, Sepideh Pashami, Rita P. Ribeiro, Grzegorz J. Nalepa, Bruno Veloso
2022	B	`conf`	A Fault Detection Framework Based on LSTM Autoencoder: A Case Study for Volvo Bus Data Set. IDA Narjes Davari, Sepideh Pashami, Bruno Veloso, Slawomir Nowaczyk, Yuantao Fan, Pedro Mota Pereira, Rita P. Ribeiro, João Gama
2022	C	`conf`	An Explainable Knowledge-based AI Framework for Mobility as a Service. SEKE Enayat Rajabi, Slawomir Nowaczyk, Sepideh Pashami, Magnus Bergquist
2022	J	`jnl`	Semi-Supervised Learning for Forklift Activity Recognition from Controller Area Network (CAN) Signals. Sensors Kunru Chen, Thorsteinn S. Rögnvaldsson, Slawomir Nowaczyk, Sepideh Pashami, Emilia Johansson, Gustav Sternelöv
2022	—	`conf`	Siambert: Siamese Bert-based Code Search. SAIS Francisco J. Peña, Angel Luis Gonzalez, Sepideh Pashami, Ahmad Al-Shishtawy, Amir Hossein Payberah
2022	B	`conf`	SurvSHAP: A Proxy-Based Algorithm for Explaining Survival Models with SHAP. DSAA Abdallah Alabdallah, Sepideh Pashami, Thorsteinn S. Rögnvaldsson, Mattias Ohlsson
2022	J	`jnl`	The Concordance Index decomposition: a measure for a deeper understanding of survival prediction models. CoRR Abdallah Alabdallah, Mattias Ohlsson, Sepideh Pashami, Thorsteinn S. Rögnvaldsson
2022	—	`conf`	Towards Geometry-Preserving Domain Adaptation for Fault Identification. PKDD/ECML Workshops (2) Zahra Taghiyarrenani, Slawomir Nowaczyk, Sepideh Pashami, Mohamed-Rafik Bouguelia
2022	J	`jnl`	Why Is Multiclass Classification Hard? IEEE Access Pablo del Moral, Slawomir Nowaczyk, Sepideh Pashami
2021	J	`jnl`	AI in Smart Cities: Challenges and approaches to enable road vehicle automation and smart traffic control. CoRR Cristofer Englund, Eren Erdal Aksoy, Fernando Alonso-Fernandez, Martin Daniel Cooney, Sepideh Pashami, Björn Åstrand
2021	C	`conf`	COCLUBERT: Clustering Machine Learning Source Code. ICMLA Marcus Hägglund, Francisco J. Peña, Sepideh Pashami, Ahmad Al-Shishtawy, Amir Hossein Payberah
2021	B	`conf`	Extracting Invariant Features for Predicting State of Health of Batteries in Hybrid Energy Buses. DSAA Mohammed Ghaith Altarabichi, Yuantao Fan, Sepideh Pashami, Peyman Sheikholharam Mashhadi, Slawomir Nowaczyk
2021	J	`jnl`	Parallel orthogonal deep neural network. Neural Networks Peyman Sheikholharam Mashhadi, Slawomir Nowaczyk, Sepideh Pashami
2021	J	`jnl`	Pitfalls of Assessing Extracted Hierarchies for Multi-Class Classification. CoRR Pablo del Moral, Slawomir Nowaczyk, Anita Pinheiro Sant'Anna, Sepideh Pashami
2021	B	`conf`	Surrogate-Assisted Genetic Algorithm for Wrapper Feature Selection. CEC Mohammed Ghaith Altarabichi, Slawomir Nowaczyk, Sepideh Pashami, Peyman Sheikholharam Mashhadi
2021	J	`jnl`	Surrogate-Assisted Genetic Algorithm for Wrapper Feature Selection. CoRR Mohammed Ghaith Altarabichi, Slawomir Nowaczyk, Sepideh Pashami, Peyman Sheikholharam Mashhadi
2020	J	`jnl`	Avoiding Improper Treatment of Persons with Dementia by Care Robots. CoRR Martin Cooney, Sepideh Pashami, Eric Järpe, Awais Ashfaq
2020	—	`conf`	Decentralized and Adaptive K-Means Clustering for Non-IID Data Using HyperLogLog Counters. PAKDD (1) Amira Soliman, Sarunas Girdzijauskas, Mohamed-Rafik Bouguelia, Sepideh Pashami, Slawomir Nowaczyk
2020	J	`jnl`	Early Prediction of Quality Issues in Automotive Modern Industry. Inf. Reza Khoshkangini, Peyman Sheikholharam Mashhadi, Peter Berck, Saeed Gholami Shahbandi, Sepideh Pashami, Slawomir Nowaczyk, Tobias Niklasson
2020	—	`conf`	Forklift Truck Activity Recognition from CAN Data. IoT Streams/ITEM@PKDD/ECML Kunru Chen, Sepideh Pashami, Slawomir Nowaczyk, Emilia Johansson, Gustav Sternelöv, Thorsteinn S. Rögnvaldsson
2020	—	`ed.`	IoT Streams for Data-Driven Predictive Maintenance and IoT, Edge, and Mobile for Embedded Machine Learning - Second International Workshop, IoT Streams 2020, and First International Workshop, ITEM 2020, Co-located with ECML/PKDD 2020, Ghent, Belgium, September 14-18, 2020, Revised Selected Papers IoT Streams/ITEM@PKDD/ECML João Gama, Sepideh Pashami, Albert Bifet, Moamar Sayed-Mouchaweh, Holger Fröning, Franz Pernkopf, Gregor Schiele, Michaela Blott
2020	—	`conf`	Understanding Association Between Logged Vehicle Data and Vehicle Marketing Parameters: Using Clustering and Rule-Based Machine Learning. IMMS Oskar Dahl, Fredrik Johansson, Reza Khoshkangini, Sepideh Pashami, Slawomir Nowaczyk, Pihl Claes
2019	—	`conf`	Eliciting Structures in Data. IUI Workshops 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
2019	A	`conf`	IDM-WSDM 2019: Workshop on Interactive Data Mining. WSDM Alan Said, Denis Parra, Juhee Bae, Sepideh Pashami
2019	—	`conf`	Incremental Causal Discovery and Visualization. IDM@WSDM Anders Holst, Sepideh Pashami, Juhee Bae
2019	—	`conf`	Interactive feature extraction for diagnostic trouble codes in predictive maintenance: A case study from automotive domain. IDM@WSDM Parivash Pirasteh, Slawomir Nowaczyk, Sepideh Pashami, Magnus Löwenadler, Klas Thunberg, Henrik Ydreskog, Peter Berck
2019	—	`conf`	Predicting Air Compressor Failures Using Long Short Term Memory Networks. EPIA (1) Kunru Chen, Sepideh Pashami, Yuantao Fan, Slawomir Nowaczyk
2019	—	`conf`	Warranty Claim Rate Prediction Using Logged Vehicle Data. EPIA (1) Reza Khoshkangini, Sepideh Pashami, Slawomir Nowaczyk
2018	J	`jnl`	Learning Low-Dimensional Representation of Bivariate Histogram Data. IEEE Trans. Intell. Transp. Syst. Evaldas Vaiciukynas, Matej Ulicny, Sepideh Pashami, Slawomir Nowaczyk
2018	J	`jnl`	Mode tracking using multiple data streams. Inf. Fusion Mohamed-Rafik Bouguelia, Alexander Karlsson, Sepideh Pashami, Slawomir Nowaczyk, Anders Holst
2018	—	`conf`	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) Martin Cooney, Sepideh Pashami, Anita Pinheiro Sant'Anna, Yuantao Fan, Slawomir Nowaczyk
2017	J	`jnl`	Exploring home robot capabilities by medium fidelity prototyping. CoRR 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
2017	—	`conf`	Multi-Task Representation Learning. SAIS Mohamed-Rafik Bouguelia, Sepideh Pashami, Slawomir Nowaczyk
2016	—	`conf`	Supporting Analytical Reasoning - A Study from the Automotive Industry. HCI (5) Tove Helldin, Maria Riveiro, Sepideh Pashami, Göran Falkman, Stefan Byttner, Slawomir Nowaczyk
2015	—	`—`	Change detection in metal oxide gas sensor signals for open sampling systems. Sepideh Pashami
2013	J	`jnl`	TREFEX: Trend Estimation and Change Detection in the Response of MOX Gas Sensors. Sensors Sepideh Pashami, Achim J. Lilienthal, Erik Schaffernicht, Marco Trincavelli
2012	J	`jnl`	Detecting Changes of a Distant Gas Source with an Array of MOX Gas Sensors. Sensors Sepideh Pashami, Achim J. Lilienthal, Marco Trincavelli
2011	—	`conf`	ICT solutions supporting collaborative information acquisition, situation assessment and decision making in contemporary environmental management problems: the DIADEM approach. EnviroInfo 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
2005	C	`conf`	Dynamic Positioning Based on Voronoi Cells (DPVC). RoboCup HesamAddin Dashti, Nima Aghaeepour, Sahar Asadi, Meysam Bastani, Zahra Delafkar, Fatemeh Miri Disfani, Serveh Ghaderi, Shahin Kamali, Sepideh Pashami, Alireza Siahpirani