Slawomir Nowaczyk

136 papers A* 2A 1B 11C 5Misc 2Journal 62Unranked 42

Year	Rank	Type	Title / Venue / Authors
2026	B	`conf`	Bridging Forecast Accuracy and Inventory KPIs: A Simulation-Based Software Framework. IDA So Fukuhara, Abdallah Alabdallah, Nuwan Gunasekara, Slawomir Nowaczyk
2026	J	`jnl`	Bridging Forecast Accuracy and Inventory KPIs: A Simulation-Based Software Framework. CoRR So Fukuhara, Abdallah Alabdallah, Nuwan Gunasekara, Slawomir Nowaczyk
2026	B	`conf`	Deep Decision Forest. IDA Hugo Starck, Ngoc Anh Kiet David Tran, Slawomir Nowaczyk
2025	J	`jnl`	A new bandit setting balancing information from state evolution and corrupted context. Data Min. Knowl. Discov. Alexander Galozy, Slawomir Nowaczyk, Mattias Ohlsson
2025	J	`jnl`	Architectures for Building Agentic AI. CoRR Slawomir Nowaczyk
2025	B	`conf`	Assessing the Graph Structure Learning in Graph Deviation Networks. IDA Canberk Ozen, Slawomir Nowaczyk, Prayag Tiwari, Sepideh Pashami
2025	B	`conf`	Balancing Performance and Scalability of Demand Forecasting ML Models. IDA Mateusz Zarski, Slawomir Nowaczyk
2025	B	`conf`	Bridging Spatial and Temporal Contexts: Sparse Transfer Learning. IDA Daniel Persson, William Wahlberg, Anna Vettoruzzo, Slawomir Nowaczyk
2025	J	`jnl`	Context discovery for anomaly detection. Int. J. Data Sci. Anal. Ece Calikus, Slawomir Nowaczyk, Onur Dikmen
2025	J	`jnl`	Contrastive Time Series Forecasting with Anomalies. CoRR Joel Ekstrand, Zahra Taghiyarrenani, Slawomir Nowaczyk
2025	J	`jnl`	Dynamic Causal Explanation Based Diffusion-Variational Graph Neural Network for Spatiotemporal Forecasting. IEEE Trans. Neural Networks Learn. Syst. Guojun Liang, Prayag Tiwari, Slawomir Nowaczyk, Stefan Byttner, Fernando Alonso-Fernandez
2025	Misc	`conf`	From Courtroom to Corpora: Building a Name Entity Corpus for Urdu Legal Texts. RANLP Adeel Zafar, Sohail Ashraf, Slawomir Nowaczyk
2025	J	`jnl`	Fuzzy Particle Filtering Based Approach for Battery RUL Prediction With Uncertainty Reduction Strategies. Expert Syst. J. Knowl. Eng. GwanPil Kim, Jason J. Jung, Dong Kyu Kim, Min Koo, Grzegorz J. Nalepa, Slawomir Nowaczyk
2025	J	`jnl`	Neuroplasticity-inspired dynamic ANNs for multi-task demand forecasting. CoRR Mateusz Zarski, Slawomir Nowaczyk
2025	B	`conf`	Pragmatic Paradigm for Multi-stream Regression. IDA Nuwan Gunasekara, Slawomir Nowaczyk, Sepideh Pashami
2025	—	`conf`	Preface. xAI (Late-breaking Work, Demos, Doctoral Consortium) Przemyslaw Biecek, Slawomir Nowaczyk, Gitta Kutyniok, Luca Longo
2025	C	`conf`	Privacy-Preserving Machine Learning in IoT: A Study of Data Obfuscation Methods. SECRYPT Yonan Yonan, Mohammad O. Abdullah, Felix Nilsson, Mahdi Fazeli, Ahmad Patooghy, Slawomir Nowaczyk
2025	—	`ed.`	Proceedings of Swedish AI Society Workshop 2025 (SAIS 2025), Halmstad, Sweden, 16-17 June 2025. SAIS Slawomir Nowaczyk, Anna Vettoruzzo
2025	J	`jnl`	Weighted Contrastive Learning for Anomaly-Aware Time-Series Forecasting. CoRR Joel Ekstrand, Tor Mattsson, Zahra Taghiyarrenani, Slawomir Nowaczyk, Jens Lundström, Mikael Lindén
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	Misc	`conf`	Analysis of characteristic functions on Shapley values in Machine Learning. IE Parisa Jamshidi, Slawomir Nowaczyk, Mahmoud Rahat
2024	—	`ed.`	Artificial Intelligence. ECAI 2023 International Workshops - XAI³, TACTIFUL, XI-ML, SEDAMI, RAAIT, AI4S, HYDRA, AI4AI, Kraków, Poland, September 30 - October 4, 2023, Proceedings, Part I ECAI Workshops (1) Slawomir Nowaczyk, Przemyslaw Biecek, Neo Christopher Chung, Mauro Vallati, Pawel Skruch, Joanna Jaworek-Korjakowska, Simon Parkinson, Alexandros Nikitas, Martin Atzmüller, Tomás Kliegr, Ute Schmid, Szymon Bobek, Nada Lavrac, Marieke Peeters, Roland van Dierendonck, Saskia Robben, Eunika Mercier-Laurent, Gülgün Kayakutlu, Mieczyslaw Lech Owoc, Karl Mason, Abdul Wahid, Pierangela Bruno, Francesco Calimeri, Francesco Cauteruccio, Giorgio Terracina, Diedrich Wolter, Jochen L. Leidner, Michael Kohlhase, Vania Dimitrova
2024	—	`ed.`	Artificial Intelligence. ECAI 2023 International Workshops - XAI³, TACTIFUL, XI-ML, SEDAMI, RAAIT, AI4S, HYDRA, AI4AI, Kraków, Poland, September 30 - October 4, 2023, Proceedings, Part II ECAI Workshops (2) Slawomir Nowaczyk, Przemyslaw Biecek, Neo Christopher Chung, Mauro Vallati, Pawel Skruch, Joanna Jaworek-Korjakowska, Simon Parkinson, Alexandros Nikitas, Martin Atzmüller, Tomás Kliegr, Ute Schmid, Szymon Bobek, Nada Lavrac, Marieke Peeters, Roland van Dierendonck, Saskia Robben, Eunika Mercier-Laurent, Gülgün Kayakutlu, Mieczyslaw Lech Owoc, Karl Mason, Abdul Wahid, Pierangela Bruno, Francesco Calimeri, Francesco Cauteruccio, Giorgio Terracina, Diedrich Wolter, Jochen L. Leidner, Michael Kohlhase, Vania Dimitrova
2024	J	`jnl`	Data Analytics for Improving Energy Efficiency in Short Sea Shipping. CoRR Mohamed Abuella, Hadi Fanaee Tork, M. Amine Atoui, Slawomir Nowaczyk, Simon Johansson, Ethan Faghani
2024	J	`jnl`	Enhancing Air Quality Forecasting Using Machine Learning Techniques. IEEE Access Zeinab Shahbazi, Zahra Shahbazi, Slawomir Nowaczyk
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	—	`conf`	Explainable Federated Learning by Incremental Decision Trees. TempXAI@PKDD/ECML Parisa Jamshidi, Slawomir Nowaczyk, Mahmoud Rahat, Zahra Taghiyarrenani
2024	J	`jnl`	Exploring classical machine learning for identification of pathological lung auscultations. Comput. Biol. Medicine Haroldas Razvadauskas, Evaldas Vaiciukynas, Kazimieras Buskus, Lukas Arlauskas, Slawomir Nowaczyk, Saulius Sadauskas, Albinas Naudziunas
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	A	`conf`	Higher-order Spatio-temporal Physics-incorporated Graph Neural Network for Multivariate Time Series Imputation. CIKM Guojun Liang, Prayag Tiwari, Slawomir Nowaczyk, Stefan Byttner
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	—	`ed.`	Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track - European Conference, ECML PKDD 2024, Vilnius, Lithuania, September 9-13, 2024, Proceedings, Part IX ECML/PKDD (9) Albert Bifet, Tomas Krilavicius, Ioanna Miliou, Slawomir Nowaczyk
2024	—	`ed.`	Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track - European Conference, ECML PKDD 2024, Vilnius, Lithuania, September 9-13, 2024, Proceedings, Part X ECML/PKDD (10) Albert Bifet, Tomas Krilavicius, Ioanna Miliou, Slawomir Nowaczyk
2024	—	`conf`	Message from Kurt Tutschku and Slawomir Nowaczyk, FMEC Chairs. FMEC Slawomir Nowaczyk, Kurt Tutschku
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`	Physics-incorporated Graph Neural Network for Multivariate Time Series Imputation. CoRR Guojun Liang, Prayag Tiwari, Slawomir Nowaczyk, Stefan Byttner
2024	—	`ed.`	Proceedings of Workshop on Embracing Human-Aware AI in Industry 5.0 (HAII5.0 2024) co-located with the 27th European Conference on Artificial Intelligence (ECAI 2024), Santiago de Compostela, Spain, 19 October 2024. HAII5.0@ECAI Slawomir Nowaczyk, Myra Spiliopoulou, Marco Ragni, Olga Fink
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`	Spatial Clustering Approach for Vessel Path Identification. IEEE Access Mohamed Abuella, M. Amine Atoui, Slawomir Nowaczyk, Simon Johansson, Ethan Faghani
2024	J	`jnl`	Spatial Clustering Approach for Vessel Path Identification. CoRR Mohamed Abuella, M. Amine Atoui, Slawomir Nowaczyk, Simon Johansson, Ethan Faghani
2024	J	`jnl`	Time-Series Analysis Approach for Improving Energy Efficiency of a Fixed-Route Vessel in Short-Sea Shipping. CoRR Mohamed Abuella, Hadi Fanaee Tork, Slawomir Nowaczyk, Simon Johansson, Ethan Faghani
2024	J	`jnl`	Volvo Discovery Challenge at ECML-PKDD 2024. CoRR Mahmoud Rahat, Peyman Sheikholharam Mashhadi, Slawomir Nowaczyk, Shamik Choudhury, Leo Petrin, Thorsteinn S. Rögnvaldsson, Andreas Voskou, Carlo Metta, Claudio Savelli
2023	B	`conf`	AID4HAI: Automatic Idea Detection for Healthcare-Associated Infections from Twitter, a Framework Based on Active Learning and Transfer Learning. IDA Zahra Kharazian, Mahmoud Rahat, Fábio F. Gama, Peyman Sheikholharam Mashhadi, Slawomir Nowaczyk, Tony Lindgren, Sindri Magnússon
2023	J	`jnl`	Beyond Random Noise: Insights on Anonymization Strategies from a Latent Bandit Study. CoRR Alexander Galozy, Sadi Alawadi, Victor R. Kebande, Slawomir Nowaczyk
2023	J	`jnl`	DEED: DEep Evidential Doctor. Artif. Intell. Awais Ashfaq, Markus Lingman, Murat Sensoy, Slawomir Nowaczyk
2023	B	`conf`	Data-Centric Perspective on Explainability Versus Performance Trade-Off. IDA Amirhossein Berenji, Slawomir Nowaczyk, Zahra Taghiyarrenani
2023	—	`conf`	Data-Driven Explainable Artificial Intelligence for Energy Efficiency in Short-Sea Shipping. ECML/PKDD (7) Mohamed Abuella, M. Amine Atoui, Slawomir Nowaczyk, Simon Johansson, Ethan Faghani
2023	J	`jnl`	Dynamic Causal Explanation Based Diffusion-Variational Graph Neural Network for Spatio-temporal Forecasting. CoRR Guojun Liang, Prayag Tiwari, Slawomir Nowaczyk, Stefan Byttner, Fernando Alonso-Fernandez
2023	—	`conf`	EcoShap: Save Computations by only Calculating Shapley Values for Relevant Features. ECAI Workshops (1) Parisa Jamshidi, Slawomir Nowaczyk, Mahmoud Rahat
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	J	`jnl`	Information-gathering in latent bandits. Knowl. Based Syst. Alexander Galozy, Slawomir Nowaczyk
2023	J	`jnl`	Learning Causal Mechanisms through Orthogonal Neural Networks. CoRR Peyman Sheikholharam Mashhadi, Slawomir Nowaczyk
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	J	`jnl`	Semantics-Aware Dynamic Graph Convolutional Network for Traffic Flow Forecasting. IEEE Trans. Veh. Technol. Guojun Liang, KinTak U, Xin Ning, Prayag Tiwari, Slawomir Nowaczyk, Neeraj Kumar
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	—	`conf`	A Systematic Approach for Tracking the Evolution of XAI as a Field of Research. PKDD/ECML Workshops (2) Samaneh Jamshidi, Slawomir Nowaczyk, Hadi Fanaee-T, Mahmoud Rahat
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`	Attention Horizon as a Predictor for the Fuel Consumption Rate of Drivers. Sensors Hamid Sarmadi, Slawomir Nowaczyk, Rune Prytz, Miguel A. Simão
2022	—	`conf`	Incorporating Physics-Based Models into Data Driven Approaches for Air Leak Detection in City Buses. PKDD/ECML Workshops (2) Yuantao Fan, Hamid Sarmadi, Slawomir Nowaczyk
2022	J	`jnl`	Information-Gathering in Latent Bandits. CoRR Alexander Galozy, Slawomir Nowaczyk
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	J	`jnl`	Smaller is smarter: A case for small to medium-sized smart cities. J. Smart Cities Soc. Slawomir Nowaczyk, Andrea Resmini, Vicky Long, Vaike Fors, Martin Cooney, Eduardo K. Duarte, Sarah Pink, Eren Erdal Aksoy, Alexey Vinel, Mark Dougherty
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
2022	J	`jnl`	Wisdom of the contexts: active ensemble learning for contextual anomaly detection. Data Min. Knowl. Discov. Ece Calikus, Slawomir Nowaczyk, Mohamed-Rafik Bouguelia, Onur Dikmen
2022	—	`conf`	curr2vib: Modality Embedding Translation for Broken-Rotor Bar Detection. PKDD/ECML Workshops (2) Amirhossein Berenji, Zahra Taghiyarrenani, Slawomir Nowaczyk
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`	Interactive Clustering: A Comprehensive Review. ACM Comput. Surv. Juhee Bae, Tove Helldin, Maria Riveiro, Slawomir Nowaczyk, Mohamed-Rafik Bouguelia, Göran Falkman
2021	—	`conf`	KAFE: Knowledge and Frequency Adapted Embeddings. LOD Awais Ashfaq, Markus Lingman, 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
2021	J	`jnl`	Wisdom of the Contexts: Active Ensemble Learning for Contextual Anomaly Detection. CoRR Ece Calikus, Slawomir Nowaczyk, Mohamed-Rafik Bouguelia, Onur Dikmen
2020	J	`jnl`	Assessing Parkinson's disease severity using speech analysis in non-native speakers. Comput. Speech Lang. Taha Khan, Lina E. Lundgren, David G. Anderson, Irena Nowak, Mark Dougherty, Antanas Verikas, Misha Pavel, Holly B. Jimison, Slawomir Nowaczyk, Vered Aharonson
2020	J	`jnl`	Corrupted Contextual Bandits with Action Order Constraints. CoRR Alexander Galozy, Slawomir Nowaczyk, Mattias Ohlsson
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	J	`jnl`	No free lunch but a cheaper supper: A general framework for streaming anomaly detection. Expert Syst. Appl. Ece Calikus, Slawomir Nowaczyk, Anita Pinheiro Sant'Anna, Onur Dikmen
2020	J	`jnl`	Pitfalls of medication adherence approximation through EHR and pharmacy records: Definitions, data and computation. Int. J. Medical Informatics Alexander Galozy, Slawomir Nowaczyk, Anita Pinheiro Sant'Anna, Mattias Ohlsson, Markus Lingman
2020	J	`jnl`	Prediction and pattern analysis of medication refill adherence through electronic health records and dispensation data. J. Biomed. Informatics X Alexander Galozy, Slawomir Nowaczyk
2020	J	`jnl`	Transfer learning for remaining useful life prediction based on consensus self-organizing models. Reliab. Eng. Syst. Saf. Yuantao Fan, Slawomir Nowaczyk, Thorsteinn S. Rögnvaldsson
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	J	`jnl`	A Data-Driven Approach for Discovery of Heat Load Patterns in District Heating. CoRR Ece Calikus, Slawomir Nowaczyk, Anita Pinheiro Sant'Anna, Henrik Gadd, Sven Werner
2019	—	`ed.`	Artificial Intelligence in Medicine: Knowledge Representation and Transparent and Explainable Systems - AIME 2019 International Workshops, KR4HC/ProHealth and TEAAM, Poznan, Poland, June 26-29, 2019, Revised Selected Papers KR4HC/ProHealth/TEAAM@AIME Mar Marcos, Jose M. Juarez, Richard Lenz, Grzegorz J. Nalepa, Slawomir Nowaczyk, Mor Peleg, Jerzy Stefanowski, Gregor Stiglic
2019	—	`conf`	Building Trust to AI Systems Through Explainability. Technical and legal perspectives. XAILA@JURIX Grzegorz J. Nalepa, Michal Araszkiewicz, Slawomir Nowaczyk, Szymon Bobek
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	—	`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`	Interactive-COSMO: Consensus Self-Organized Models for Fault Detection with Expert Feedback. IDM@WSDM Ece Calikus, Yuantao Fan, Slawomir Nowaczyk, Anita Pinheiro Sant'Anna
2019	J	`jnl`	Machine learning in healthcare - a system's perspective. CoRR Awais Ashfaq, Slawomir Nowaczyk
2019	J	`jnl`	No Free Lunch But A Cheaper Supper: A General Framework for Streaming Anomaly Detection. CoRR Ece Calikus, Slawomir Nowaczyk, Anita Pinheiro Sant'Anna, Onur Dikmen
2019	—	`conf`	Predicting Air Compressor Failures Using Long Short Term Memory Networks. EPIA (1) Kunru Chen, Sepideh Pashami, Yuantao Fan, Slawomir Nowaczyk
2019	J	`jnl`	Readmission prediction using deep learning on electronic health records. J. Biomed. Informatics Awais Ashfaq, Anita Pinheiro Sant'Anna, Markus Lingman, Slawomir Nowaczyk
2019	—	`conf`	Towards Understanding ICU Treatments Using Patient Health Trajectories. KR4HC/ProHealth/TEAAM@AIME Alexander Galozy, Slawomir Nowaczyk, Anita Pinheiro Sant'Anna
2019	J	`jnl`	Transfer learning for Remaining Useful Life Prediction Based on Consensus Self-Organizing Models. CoRR Yuantao Fan, Slawomir Nowaczyk, Thorsteinn S. Rögnvaldsson
2019	—	`conf`	Warranty Claim Rate Prediction Using Logged Vehicle Data. EPIA (1) Reza Khoshkangini, Sepideh Pashami, Slawomir Nowaczyk
2018	J	`jnl`	Agreeing to disagree: active learning with noisy labels without crowdsourcing. Int. J. Mach. Learn. Cybern. Mohamed-Rafik Bouguelia, Slawomir Nowaczyk, KC Santosh, Antanas Verikas
2018	J	`jnl`	An adaptive algorithm for anomaly and novelty detection in evolving data streams. Data Min. Knowl. Discov. Mohamed-Rafik Bouguelia, Slawomir Nowaczyk, Amir Hossein Payberah
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`	Monitoring Equipment Operation Through Model and Event Discovery. IDEAL (2) Slawomir Nowaczyk, Anita Pinheiro Sant'Anna, Ece Calikus, Yuantao Fan
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
2018	J	`jnl`	Self-monitoring for maintenance of vehicle fleets. Data Min. Knowl. Discov. Thorsteinn S. Rögnvaldsson, Slawomir Nowaczyk, Stefan Byttner, Rune Prytz, Magnus Svensson
2017	—	`conf`	Multi-Task Representation Learning. SAIS Mohamed-Rafik Bouguelia, Sepideh Pashami, Slawomir Nowaczyk
2016	—	`conf`	Center for Applied Intelligent Systems Research (Position paper). SAIS Thorsteinn S. Rögnvaldsson, Antanas Verikas, Josef Bigün, Slawomir Nowaczyk, Anita Pinheiro Sant'Anna, Björn Åstrand, Jens Lundström, Stefan Byttner, Roland Thörner, Fernando Alonso-Fernandez, Martin Cooney, Rafael Valencia
2016	—	`conf`	Evaluation of micro-flaws in metallic material based on a self-organized data-driven approach. ICPHM Xudong Teng, Yuantao Fan, Slawomir Nowaczyk
2016	C	`conf`	Learning of Aggregate Features for Comparing Drivers Based on Naturalistic Data. ICMLA Iulian Carpatorea, Slawomir Nowaczyk, Thorsteinn S. Rögnvaldsson, Marcus Elmer, Johan Lodin
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	—	`conf`	Evaluation of Self-Organized Approach for Predicting Compressor Faults in a City Bus Fleet. INNS Conference on Big Data Yuantao Fan, Slawomir Nowaczyk, Thorsteinn S. Rögnvaldsson
2015	—	`conf`	Incorporating Expert Knowledge into a Self-Organized Approach for Predicting Compressor Faults in a City Bus Fleet. SCAI Yuantao Fan, Slawomir Nowaczyk, Thorsteinn S. Rögnvaldsson
2015	J	`jnl`	Predicting the need for vehicle compressor repairs using maintenance records and logged vehicle data. Eng. Appl. Artif. Intell. Rune Prytz, Slawomir Nowaczyk, Thorsteinn S. Rögnvaldsson, Stefan Byttner
2015	—	`ed.`	Thirteenth Scandinavian Conference on Artificial Intelligence - SCAI 2015, Halmstad, Sweden, November 5-6, 2015 SCAI Slawomir Nowaczyk
2013	—	`conf`	Towards a Machine Learning Algorithm for Predicting Truck Compressor Failures Using Logged Vehicle Data. SCAI Slawomir Nowaczyk, Rune Prytz, Thorsteinn S. Rögnvaldsson, Stefan Byttner
2012	—	`conf`	Ideas for Fault Detection Using Relation Discovery. SAIS Slawomir Nowaczyk, Rune Prytz, Stefan Byttner
2011	—	`conf`	Declarative-knowledge-based reconfiguration of automation systems using a blackboard architecture. SCAI Mathias Haage, Jacek Malec, Anders Nilsson, Klas Nilsson, Slawomir Nowaczyk
2008	—	`—`	Conditional Partial Plans for Rational Situated Agents Capable of Deductive Reasoning and Inductive Learning. Slawomir Nowaczyk
2007	—	`conf`	Inductive Logic Programming Algorithm for Estimating Quality of Partial Plans. MICAI Slawomir Nowaczyk, Jacek Malec
2007	—	`conf`	Knowledge-Based Reconfiguration of Automation Systems. CASE Jacek Malec, Anders Nilsson, Klas Nilsson, Slawomir Nowaczyk
2007	C	`conf`	Learning to evaluate conditional partial plans. ICMLA Slawomir Nowaczyk, Jacek Malec
2006	A*	`conf`	Learning of Agents with Limited Resources. AAAI Slawomir Nowaczyk
2005	C	`conf`	On Using Rule Induction in Multiple Classifiers with a Combiner Aggregation Strategy. ISDA Jerzy Stefanowski, Slawomir Nowaczyk