CoxSE: Exploring the potential of self-explaining neural networks with Cox proportional hazards model for survival analysis.

Sepideh Pashami https://orcid.org/0000-0003-3272-4145 https://www.wikidata.org/entity/Q130841892

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. 114996 2026 333 Knowl. Based Syst. https://doi.org/10.1016/j.knosys.2025.114996 db/journals/kbs/kbs333.html#AlabdallahHORP26 streams/journals/kbs

Navin Vincent Abhishek Srinivasan Anders Holst Sepideh Pashami NTS-DAGMA: A Score-Based Causal Discovery for Anomaly Detection. IDA 2026 113-125 conf/ida/2026 https://doi.org/10.1007/978-3-032-23833-7_9 db/conf/ida/ida2026.html#VincentSHP26 streams/conf/ida Aurora Esteban Toscano Sepideh Pashami Felix Nilsson Luka Smeets Slawomir Nowaczyk Online Learning Supported by Foundation Models for Anomaly Detection in Industrial Settings. 2026 StreamingCL@AAAI https://ceur-ws.org/Vol-4183/paper7.pdf conf/streamingcl/2026 db/conf/streamingcl/streamingcl2026.html#ToscanoPNSN26 Bernhard Pfahringer Nathalie Japkowicz Pedro Larrañaga Rita P. Ribeiro Inês Dutra Mykola Pechenizkiy Paulo Cortez 0001 Sepideh Pashami Alípio M. Jorge Carlos Soares Pedro H. Abreu João Gama 0001 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) Springer 2026 Lecture Notes in Computer Science 16020 978-3-662-72242-8 978-3-662-72243-5 https://doi.org/10.1007/978-3-662-72243-5 db/conf/pkdd/pkdd2025-8.html Inês Dutra Mykola Pechenizkiy Paulo Cortez 0001 Sepideh Pashami Alípio M. Jorge Carlos Soares Pedro H. Abreu João Gama 0001 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) Springer 2026 Lecture Notes in Computer Science 16021 978-3-032-06117-1 978-3-032-06118-8 https://doi.org/10.1007/978-3-032-06118-8 db/conf/pkdd/pkdd2025-9.html Inês Dutra Mykola Pechenizkiy Paulo Cortez 0001 Sepideh Pashami Arian Pasquali Nuno Moniz Alípio M. Jorge Carlos Soares Pedro H. Abreu João Gama 0001 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) Springer 2026 Lecture Notes in Computer Science 16022 978-3-032-06128-7 978-3-032-06129-4 https://doi.org/10.1007/978-3-032-06129-4 db/conf/pkdd/pkdd2025-10.html Canberk Ozen Slawomir Nowaczyk Prayag Tiwari Sepideh Pashami Assessing the Graph Structure Learning in Graph Deviation Networks. 97-109 2025 IDA https://doi.org/10.1007/978-3-031-91398-3_8 conf/ida/2025 db/conf/ida/ida2025.html#OzenNTP25 streams/conf/ida Nuwan Gunasekara Slawomir Nowaczyk Sepideh Pashami Pragmatic Paradigm for Multi-stream Regression. 358-372 2025 IDA https://doi.org/10.1007/978-3-031-91398-3_27 conf/ida/2025 db/conf/ida/ida2025.html#GunasekaraNP25 streams/conf/ida Jia Fu 0001 Xiao Zhang 0016 Sepideh Pashami Fatemeh Rahimian Anders Holst DiffPAD: Denoising Diffusion-Based Adversarial Patch Decontamination. 6602-6611 2025 WACV https://doi.org/10.1109/WACV61041.2025.00643 conf/wacv/2025 db/conf/wacv/wacv2025.html#0001ZPRH25

Jia Fu 0001 Yongtao Wu Yihang Chen 0003 Kunyu Peng Xiao Zhang 0016 Volkan Cevher Sepideh Pashami Anders Holst DiffCAP: Diffusion-based Cumulative Adversarial Purification for Vision Language Models. 2025 June abs/2506.03933 CoRR https://doi.org/10.48550/arXiv.2506.03933 db/journals/corr/corr2506.html#abs-2506-03933 streams/journals/corr

Abdallah Alabdallah Mattias Ohlsson Sepideh Pashami Thorsteinn S. Rögnvaldsson The Concordance Index decomposition: A measure for a deeper understanding of survival prediction models. 102781 2024 148 Artif. Intell. Medicine https://doi.org/10.1016/j.artmed.2024.102781 db/journals/artmed/artmed148.html#AlabdallahOPR24

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. 120500 2024 667 Inf. Sci. https://doi.org/10.1016/j.ins.2024.120500 db/journals/isci/isci667.html#AltarabichiNPMH24

Mohammed Ghaith Altarabichi Slawomir Nowaczyk Sepideh Pashami Peyman Sheikholharam Mashhadi Julia Handl A Review of Randomness Techniques in Deep Neural Networks. 2024 GECCO Companion https://doi.org/10.1145/3638530.3664077 conf/gecco/2024c db/conf/gecco/gecco2024c.html#AltarabichiNPMH24 23-24 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. 2024 GECCO Companion https://doi.org/10.1145/3638530.3664129 https://www.wikidata.org/entity/Q130841893 conf/gecco/2024c db/conf/gecco/gecco2024c.html#AltarabichiAPRN24 1863-1869 Yuantao Fan Mohammed Ghaith Altarabichi Sepideh Pashami Peyman Sheikholharam Mashhadi Slawomir Nowaczyk Invariant Feature Selection for Battery State of Health Estimation in Heterogeneous Hybrid Electric Bus Fleets. 2024 HAII5.0@ECAI https://ceur-ws.org/Vol-3765/Camera_Ready_Paper-06.pdf conf/haii/2024 db/conf/haii/haii2024.html#FanAPMN24 Yuantao Fan Zhenkan Wang Sepideh Pashami Slawomir Nowaczyk Evaluating Multi-task Curriculum Learning for Forecasting Energy Consumption in Electric Heavy-duty Vehicles. 2024 HAII5.0@ECAI https://ceur-ws.org/Vol-3765/Camera_Ready_Paper-07.pdf conf/haii/2024 db/conf/haii/haii2024.html#FanWPN24 Abdallah Alabdallah Jakub Jakubowski Sepideh Pashami Szymon Bobek Mattias Ohlsson Thorsteinn S. Rögnvaldsson Grzegorz J. Nalepa Understanding Survival Models Through Counterfactual Explanations. 310-324 2024 ICCS (4) https://doi.org/10.1007/978-3-031-63772-8_28 conf/iccS/2024-4 db/conf/iccS/iccS2024-4.html#AlabdallahJPBORN24 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. 65-76 2024 IDA (1) https://doi.org/10.1007/978-3-031-58547-0_6 conf/ida/2024-1 db/conf/ida/ida2024-1.html#KarlssonWNPA24

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. 2024 abs/2404.03992 CoRR https://doi.org/10.48550/arXiv.2404.03992 db/journals/corr/corr2404.html#abs-2404-03992

Mohammed Ghaith Altarabichi Slawomir Nowaczyk Sepideh Pashami Peyman Sheikholharam Mashhadi Fast Genetic Algorithm for feature selection - A qualitative approximation approach. 2024 abs/2404.03996 CoRR https://doi.org/10.48550/arXiv.2404.03996 db/journals/corr/corr2404.html#abs-2404-03996

Jakub Jakubowski Natalia Wojak-Strzelecka Rita P. Ribeiro Sepideh Pashami Szymon Bobek João Gama 0001 Grzegorz J. Nalepa Artificial Intelligence Approaches for Predictive Maintenance in the Steel Industry: A Survey. 2024 abs/2405.12785 CoRR https://doi.org/10.48550/arXiv.2405.12785 db/journals/corr/corr2405.html#abs-2405-12785

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. 2024 abs/2407.13849 CoRR https://doi.org/10.48550/arXiv.2407.13849 db/journals/corr/corr2407.html#abs-2407-13849 streams/journals/corr

Jia Fu 0001 Xiao Zhang 0016 Sepideh Pashami Fatemeh Rahimian Anders Holst DiffPAD: Denoising Diffusion-based Adversarial Patch Decontamination. 2024 abs/2410.24006 CoRR https://doi.org/10.48550/arXiv.2410.24006 db/journals/corr/corr2410.html#abs-2410-24006 streams/journals/corr

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. 106992 2023 November 126 Eng. Appl. Artif. Intell. https://doi.org/10.1016/j.engappai.2023.106992 db/journals/eaai/eaai126.html#ChenRNPKS23

Mohammed Ghaith Altarabichi Slawomir Nowaczyk Sepideh Pashami Peyman Sheikholharam Mashhadi Fast Genetic Algorithm for feature selection - A qualitative approximation approach. 118528 2023 211 Expert Syst. Appl. https://doi.org/10.1016/j.eswa.2022.118528 https://www.wikidata.org/entity/Q114180233 db/journals/eswa/eswa211.html#AltarabichiNPM23

Zahra Taghiyarrenani Slawomir Nowaczyk Sepideh Pashami Mohamed-Rafik Bouguelia Multi-domain adaptation for regression under conditional distribution shift. 119907 2023 August 224 Expert Syst. Appl. https://doi.org/10.1016/j.eswa.2023.119907 db/journals/eswa/eswa224.html#TaghiyarrenaniNPB23

Pablo del Moral Slawomir Nowaczyk Anita Pinheiro Sant'Anna Sepideh Pashami Pitfalls of assessing extracted hierarchies for multi-class classification. 109225 2023 April 136 Pattern Recognit. https://doi.org/10.1016/j.patcog.2022.109225 db/journals/pr/pr136.html#MoralNSP23

Szymon Bobek Slawomir Nowaczyk Sepideh Pashami Zahra Taghiyarrenani Grzegorz J. Nalepa Towards Explainable Deep Domain Adaptation. 101-113 2023 ECAI Workshops (1) https://doi.org/10.1007/978-3-031-50396-2_6 conf/ecai/2023w1 db/conf/ecai/ecai2023w1.html#BobekNPTN23 Mohammed Ghaith Altarabichi Slawomir Nowaczyk Sepideh Pashami Peyman Sheikholharam Mashhadi Fast Genetic Algorithm for feature selection - A qualitative approximation approach. 11-12 2023 GECCO Companion https://doi.org/10.1145/3583133.3595823 https://www.wikidata.org/entity/Q130910212 conf/gecco/2023c db/conf/gecco/gecco2023c.html#AltarabichiNPM23 Kunru Chen Thorsteinn S. Rögnvaldsson Slawomir Nowaczyk Sepideh Pashami Jonas Klang Gustav Sternelöv Toward Solving Domain Adaptation with Limited Source Labeled Data. 1240-1246 2023 ICDM (Workshops) https://doi.org/10.1109/ICDMW60847.2023.00161 conf/icdm/2023w db/conf/icdm/icdm2023w.html#ChenRNPKS23 Jia Fu 0001 Jiarui Tan Wenjie Yin Sepideh Pashami Mårten Björkman Component attention network for multimodal dance improvisation recognition. 114-118 2023 ICMI https://doi.org/10.1145/3577190.3614114 conf/icmi/2023 db/conf/icmi/icmi2023.html#FuTYPB23 João Gama 0001 Slawomir Nowaczyk Sepideh Pashami Rita P. Ribeiro Grzegorz J. Nalepa Bruno Veloso XAI for Predictive Maintenance. 5798-5799 2023 KDD https://doi.org/10.1145/3580305.3599578 conf/kdd/2023 db/conf/kdd/kdd2023.html#0001NPRNV23 Szymon Bobek Slawomir Nowaczyk João Gama 0001 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? 1-6 2023 xAI (Late-breaking Work, Demos, Doctoral Consortium) https://ceur-ws.org/Vol-3554/paper1.pdf conf/xai/2023l db/conf/xai/xai2023l.html#BobekNGPRTVRSN23 Irena Koprinska Paolo Mignone Riccardo Guidotti Szymon Jaroszewicz Holger Fröning Francesco Gullo Pedro M. Ferreira 0001 Damian Roqueiro Gaia Ceddia Slawomir Nowaczyk João Gama 0001 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 0001 Naghmeh Ghazaleh Jonas Richiardi Diego Saldana Miranda Konstantinos Sechidis Arif Canakoglu Sara Pidò Pietro Pinoli Albert Bifet Sepideh Pashami 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) Springer 2023 Communications in Computer and Information Science 1752 978-3-031-23617-4 978-3-031-23618-1 https://doi.org/10.1007/978-3-031-23618-1 db/conf/pkdd/pkdd2022-w1.html Irena Koprinska Paolo Mignone Riccardo Guidotti Szymon Jaroszewicz Holger Fröning Francesco Gullo Pedro M. Ferreira 0001 Damian Roqueiro Gaia Ceddia Slawomir Nowaczyk João Gama 0001 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 0001 Naghmeh Ghazaleh Jonas Richiardi Diego Saldana Miranda Konstantinos Sechidis Arif Canakoglu Sara Pidò Pietro Pinoli Albert Bifet Sepideh Pashami 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) Springer 2023 Communications in Computer and Information Science 1753 978-3-031-23632-7 978-3-031-23633-4 https://doi.org/10.1007/978-3-031-23633-4 db/conf/pkdd/pkdd2022-w2.html

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 0001 Explainable Predictive Maintenance. 2023 abs/2306.05120 CoRR https://doi.org/10.48550/arXiv.2306.05120 db/journals/corr/corr2306.html#abs-2306-05120

Zahra Taghiyarrenani Abdallah Alabdallah Slawomir Nowaczyk Sepideh Pashami Heterogeneous Federated Learning via Personalized Generative Networks. 2023 abs/2308.13265 CoRR https://doi.org/10.48550/arXiv.2308.13265 db/journals/corr/corr2308.html#abs-2308-13265

Jia Fu 0001 Jiarui Tan Wenjie Yin Sepideh Pashami Mårten Björkman Component attention network for multimodal dance improvisation recognition. 2023 abs/2310.05938 CoRR https://doi.org/10.48550/arXiv.2310.05938 db/journals/corr/corr2310.html#abs-2310-05938

Yuantao Fan Zhenkan Wang Sepideh Pashami Slawomir Nowaczyk Henrik Ydreskog Forecasting Auxiliary Energy Consumption for Electric Heavy-Duty Vehicles. 2023 abs/2311.16003 CoRR https://doi.org/10.48550/arXiv.2311.16003 db/journals/corr/corr2311.html#abs-2311-16003

Pablo del Moral Slawomir Nowaczyk Sepideh Pashami Why Is Multiclass Classification Hard? 80448-80462 2022 10 IEEE Access https://doi.org/10.1109/ACCESS.2022.3192514 db/journals/access/access10.html#MoralNP22

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. 4170 2022 22 Sensors 11 https://doi.org/10.3390/s22114170 db/journals/sensors/sensors22.html#ChenRNPJS22

Abdallah Alabdallah Sepideh Pashami Thorsteinn S. Rögnvaldsson Mattias Ohlsson SurvSHAP: A Proxy-Based Algorithm for Explaining Survival Models with SHAP. 1-10 2022 DSAA https://doi.org/10.1109/DSAA54385.2022.10032392 conf/dsaa/2022 db/conf/dsaa/dsaa2022.html#AlabdallahPRO22 Narjes Davari Sepideh Pashami Bruno Veloso Slawomir Nowaczyk Yuantao Fan Pedro Mota Pereira Rita P. Ribeiro João Gama 0001 A Fault Detection Framework Based on LSTM Autoencoder: A Case Study for Volvo Bus Data Set. 39-52 2022 IDA https://doi.org/10.1007/978-3-031-01333-1_4 conf/ida/2022 db/conf/ida/ida2022.html#DavariPVNFPRG22 Zahra Taghiyarrenani Slawomir Nowaczyk Sepideh Pashami Mohamed-Rafik Bouguelia Towards Geometry-Preserving Domain Adaptation for Fault Identification. 451-460 2022 PKDD/ECML Workshops (2) https://doi.org/10.1007/978-3-031-23633-4_30 conf/pkdd/2022-w2 db/conf/pkdd/pkdd2022-w2.html#TaghiyarrenaniN22 Francisco J. Peña Angel Luis Gonzalez Sepideh Pashami Ahmad Al-Shishtawy Amir Hossein Payberah Siambert: Siamese Bert-based Code Search. 1-7 2022 SAIS https://doi.org/10.1109/SAIS55783.2022.9833051 conf/sais/2022 db/conf/sais/sais2022.html#PenaGPAP22 Enayat Rajabi Slawomir Nowaczyk Sepideh Pashami Magnus Bergquist An Explainable Knowledge-based AI Framework for Mobility as a Service. 312-316 2022 SEKE https://doi.org/10.18293/SEKE2022-020 conf/seke/2022 db/conf/seke/seke2022.html#RajabiNPB22

Abdallah Alabdallah Mattias Ohlsson Sepideh Pashami Thorsteinn S. Rögnvaldsson The Concordance Index decomposition: a measure for a deeper understanding of survival prediction models. 2022 abs/2203.00144 CoRR https://doi.org/10.48550/arXiv.2203.00144 db/journals/corr/corr2203.html#abs-2203-00144

Peyman Sheikholharam Mashhadi Slawomir Nowaczyk Sepideh Pashami Parallel orthogonal deep neural network. 167-183 2021 140 Neural Networks https://doi.org/10.1016/j.neunet.2021.03.002 db/journals/nn/nn140.html#MashhadiNP21

Mohammed Ghaith Altarabichi Slawomir Nowaczyk Sepideh Pashami Peyman Sheikholharam Mashhadi Surrogate-Assisted Genetic Algorithm for Wrapper Feature Selection. 776-785 2021 CEC https://doi.org/10.1109/CEC45853.2021.9504718 conf/cec/2021 db/conf/cec/cec2021.html#AltarabichiNPM21 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. 1-6 2021 DSAA https://doi.org/10.1109/DSAA53316.2021.9564184 conf/dsaa/2021 db/conf/dsaa/dsaa2021.html#AltarabichiFPMN21 Marcus Hägglund Francisco J. Peña Sepideh Pashami Ahmad Al-Shishtawy Amir Hossein Payberah COCLUBERT: Clustering Machine Learning Source Code. 151-158 2021 ICMLA https://doi.org/10.1109/ICMLA52953.2021.00031 conf/icmla/2021 db/conf/icmla/icmla2021.html#HagglundPPAP21

Pablo del Moral Slawomir Nowaczyk Anita Pinheiro Sant'Anna Sepideh Pashami Pitfalls of Assessing Extracted Hierarchies for Multi-Class Classification. 2021 abs/2101.11095 CoRR https://arxiv.org/abs/2101.11095 db/journals/corr/corr2101.html#abs-2101-11095

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. 2021 abs/2104.03150 CoRR https://arxiv.org/abs/2104.03150 db/journals/corr/corr2104.html#abs-2104-03150

Mohammed Ghaith Altarabichi Slawomir Nowaczyk Sepideh Pashami Peyman Sheikholharam Mashhadi Surrogate-Assisted Genetic Algorithm for Wrapper Feature Selection. 2021 abs/2111.09074 CoRR https://arxiv.org/abs/2111.09074 db/journals/corr/corr2111.html#abs-2111-09074

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. 354 2020 11 Inf. 7 https://doi.org/10.3390/info11070354 db/journals/information/information11.html#KhoshkanginiMBS20

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. 13-22 2020 IMMS https://doi.org/10.1145/3416028.3417215 conf/imms/2020 db/conf/imms/imms2020.html#DahlJKPNC20 Amira Soliman 0001 Sarunas Girdzijauskas Mohamed-Rafik Bouguelia Sepideh Pashami Slawomir Nowaczyk Decentralized and Adaptive K-Means Clustering for Non-IID Data Using HyperLogLog Counters. 343-355 2020 PAKDD (1) https://doi.org/10.1007/978-3-030-47426-3_27 conf/pakdd/2020-1 db/conf/pakdd/pakdd2020-1.html#SolimanGBPN20 Kunru Chen Sepideh Pashami Slawomir Nowaczyk Emilia Johansson Gustav Sternelöv Thorsteinn S. Rögnvaldsson Forklift Truck Activity Recognition from CAN Data. 119-126 2020 IoT Streams/ITEM@PKDD/ECML https://doi.org/10.1007/978-3-030-66770-2_9 conf/pkdd/2020iotstreams db/conf/pkdd/iotstreams2020.html#ChenPNJSR20 João Gama 0001 Sepideh Pashami Albert Bifet Moamar Sayed-Mouchaweh Holger Fröning Franz Pernkopf Gregor Schiele Michaela Blott 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 Springer 2020 Communications in Computer and Information Science 1325 978-3-030-66769-6 978-3-030-66770-2 https://doi.org/10.1007/978-3-030-66770-2 db/conf/pkdd/iotstreams2020.html

Martin Cooney Sepideh Pashami Eric Järpe Awais Ashfaq Avoiding Improper Treatment of Persons with Dementia by Care Robots. 2020 abs/2005.06622 CoRR https://arxiv.org/abs/2005.06622 db/journals/corr/corr2005.html#abs-2005-06622

Kunru Chen Sepideh Pashami Yuantao Fan Slawomir Nowaczyk Predicting Air Compressor Failures Using Long Short Term Memory Networks. 596-609 2019 EPIA (1) https://doi.org/10.1007/978-3-030-30241-2_50 conf/epia/2019-1 db/conf/epia/epia2019-1.html#ChenPFN19 Reza Khoshkangini Sepideh Pashami Slawomir Nowaczyk Warranty Claim Rate Prediction Using Logged Vehicle Data. 663-674 2019 EPIA (1) https://doi.org/10.1007/978-3-030-30241-2_55 conf/epia/2019-1 db/conf/epia/epia2019-1.html#KhoshkanginiPN19 Ahmad Al-Shishtawy Juhee Bae Mohamed-Rafik Bouguelia Göran Falkman Sarunas Girdzijauskas Olof Gönerup Anders Holst Alexander Karlsson 0001 Slawomir Nowaczyk Sepideh Pashami Alan Said Amira A. Soliman El Hosary Eliciting Structures in Data. 2019 IUI Workshops https://ceur-ws.org/Vol-2327/IUI19WS-UIBK-4.pdf conf/iui/2019w db/conf/iui/iui2019w.html#Al-ShishtawyBBF19 Anders Holst Sepideh Pashami Juhee Bae Incremental Causal Discovery and Visualization. 3:1-3:6 2019 IDM@WSDM https://doi.org/10.1145/3304079.3310287 conf/wsdm/2019idm db/conf/wsdm/idm2019.html#HolstPB19 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. 4:1-4:10 2019 IDM@WSDM https://doi.org/10.1145/3304079.3310288 conf/wsdm/2019idm db/conf/wsdm/idm2019.html#PirastehNPLTYB19 Alan Said Denis Parra Juhee Bae Sepideh Pashami IDM-WSDM 2019: Workshop on Interactive Data Mining. 846-847 2019 WSDM https://doi.org/10.1145/3289600.3291376 conf/wsdm/2019 db/conf/wsdm/wsdm2019.html#SaidPBP19

Mohamed-Rafik Bouguelia Alexander Karlsson 0001 Sepideh Pashami Slawomir Nowaczyk Anders Holst Mode tracking using multiple data streams. 33-46 2018 43 Inf. Fusion https://doi.org/10.1016/j.inffus.2017.11.011 db/journals/inffus/inffus43.html#BougueliaKPNH18

Evaldas Vaiciukynas Matej Ulicny Sepideh Pashami Slawomir Nowaczyk Learning Low-Dimensional Representation of Bivariate Histogram Data. 3723-3735 2018 19 IEEE Trans. Intell. Transp. Syst. 11 https://doi.org/10.1109/TITS.2018.2865103 https://www.wikidata.org/entity/Q129240531 db/journals/tits/tits19.html#VaiciukynasUPN18

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. 1563-1566 2018 WWW (Companion Volume) https://doi.org/10.1145/3184558.3191611 conf/www/2018c db/conf/www/www2018c.html#CooneyPSFN18 Mohamed-Rafik Bouguelia Sepideh Pashami Slawomir Nowaczyk Multi-Task Representation Learning. 137:006 2017 SAIS http://www.ep.liu.se/ecp/article.asp?issue=137&article=006&volume= conf/sais/2017 db/conf/sais/sais2017.html#BougueliaPN17

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. 2017 abs/1710.01541 CoRR http://arxiv.org/abs/1710.01541 db/journals/corr/corr1710.html#abs-1710-01541

Tove Helldin Maria Riveiro 0001 Sepideh Pashami Göran Falkman Stefan Byttner Slawomir Nowaczyk Supporting Analytical Reasoning - A Study from the Automotive Industry. 20-31 2016 HCI (5) https://doi.org/10.1007/978-3-319-40397-7_3 conf/hci/2016-5 db/conf/hci/hci2016-5.html#HelldinRPFBN16 Sepideh Pashami Change detection in metal oxide gas sensor signals for open sampling systems. Örebro University, Sweden 2015 https://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-46845

Sepideh Pashami Achim J. Lilienthal Erik Schaffernicht Marco Trincavelli TREFEX: Trend Estimation and Change Detection in the Response of MOX Gas Sensors. 7323-7344 2013 13 Sensors 6 https://doi.org/10.3390/s130607323 https://www.wikidata.org/entity/Q43086518 db/journals/sensors/sensors13.html#PashamiLST13

Sepideh Pashami Achim J. Lilienthal Marco Trincavelli Detecting Changes of a Distant Gas Source with an Array of MOX Gas Sensors. 16404-16419 2012 12 Sensors 12 https://doi.org/10.3390/s121216404 https://www.wikidata.org/entity/Q42152821 db/journals/sensors/sensors12.html#PashamiLT12

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. 920-931 2011 EnviroInfo http://iai-uiserv1.iai.fzk.de/ictensure/site?mod=litdb&subject=art&pid=X9AE9A9FB&action=detail conf/enviroinfo/2011 db/conf/enviroinfo/enviroinfo2011.html#AsadiBCCEGIJLMN11 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). 219-229 2005 conf/robocup/2005 RoboCup https://doi.org/10.1007/11780519_20 db/conf/robocup/robocup2005.html#DashtiAABDDGKPS05 Pedro H. Abreu Nima Aghaeepour Eren Erdal Aksoy Ahmad Al-Shishtawy Abdallah Alabdallah Fernando Alonso-Fernandez Mohammed Ghaith Altarabichi Giuseppina Andresini Annalisa Appice Sahar Asadi Awais Ashfaq Björn Åstrand Costin Badica Juhee Bae Meysam Bastani Peter Berck Magnus Bergquist Przemyslaw Biecek Albert Bifet Mårten Björkman Michaela Blott Szymon Bobek Ilaria Bordino Mohamed-Rafik Bouguelia Stefan Byttner Arif Canakoglu Gaia Ceddia Volkan Cevher Kunru Chen Yihang Chen 0003 Pihl Claes Tina Comes Claudine Conrado Martin CooneyMartin Daniel Cooney Lee A. D. CooperLee Cooper 0001 Paulo Cortez 0001 Oskar Dahl Ivan Luciano Danesi HesamAddin Dashti Narjes Davari Zahra Delafkar Fatemeh Miri Disfani Inês de Castro DutraInês Dutra Cristofer Englund Vanessa Evers Göran Falkman Yuantao Fan Pedro M. Ferreira 0001 Holger Fröning Jia Fu 0001 João Gama 0001 Ricard Gavaldà Serveh Ghaderi Naghmeh Ghazaleh Sarunas Girdzijauskas Olof Gönerup Angel Luis Gonzalez Guilherme Graça Frans C. A. Groen Riccardo Guidotti Francesco Gullo Nuwan Gunasekara Marcus Hägglund Omar Hamed Julia Handl Tove Helldin Jeremy Heyne Anders Holst Wolfgang Hotze Sorin Ilie Jakub Jakubowski Samaneh Jamshidi Nathalie Japkowicz Szymon Jaroszewicz Eric Järpe Jan Steen Jensen Emilia Johansson Fredrik Johansson Alípio Mário JorgeAlípio M. Jorge Shahin Kamali Alexander Karlsson 0001 Axel Karlsson Reza Khoshkangini Jonas Klang Irena Koprinska Pedro Larrañaga Achim J. Lilienthal Magnus Löwenadler Yinrong Ma Elio Masciari Iberia MedeirosIbéria Medeiros Paolo Mignone Bianca Milan Diego Saldana Miranda Nuno Moniz Pablo del Moral Grzegorz J. Nalepa Francesca Naretto Thomas Neidhart Kees Nieuwenhuis Tobias Niklasson Felix Nilsson Slawomir Nowaczyk Mattias Ohlsson Canberk Ozen Nuno Paiva Denis Parra Arian Pasquali Gregor Pavlin Amir Hossein Payberah Mykola Pechenizkiy Jan Pehrsson Francisco J. Peña Kunyu Peng Pedro Mota Pereira Franz Pernkopf Bernhard Pfahringer Sara Pidò Rani Pinchuk Pietro Pinoli Parivash Pirasteh Giovanni Ponti Fatemeh Rahimian Enayat Rajabi Lala H. Rajaoarisoa Zbigniew W. Ras Rita P. Ribeiro Jonas Richiardi Ettore Ritacco Maria Riveiro 0001 Thorsteinn S. Rögnvaldsson Damian Roqueiro Alan Said Anita Pinheiro Sant'Anna Hamid Sarmadi Moamar Sayed-Mouchaweh Mihnea Scafes Erik Schaffernicht Gregor Schiele Leo Schou-Jensen Frank Schultmann Konstantinos Sechidis Lorenzo Severini Saeed Gholami Shahbandi Peyman SheikholharamPeyman Sheikholharam Mashhadi Alireza Siahpirani Luka Smeets Carlos Soares Amira Soliman 0001Amira A. Soliman El Hosary Abhishek Srinivasan Gustav Sternelöv Maciej Szelazek Zahra Taghiyarrenani Jiarui Tan Andreas Theissler Klas Thunberg Prayag Tiwari Aurora Esteban Toscano Marco Trincavelli Matej Ulicny Evaldas Vaiciukynas Bruno M. VelosoBruno Veloso Wouter Verbeke Navin Vincent Tianze Wang Zhenkan Wang Niek J. E. Wijngaards Natalia Wojak-Strzelecka Yongtao Wu Henrik Ydreskog Wenjie Yin Tianyi Zhang Xiao Zhang 0016 Yuwei Zhao Tom Ziemke