Slawomir Nowaczyk

ORCID

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 80

Top Venues

CoRR

PKDD/ECML Workshops (2)

IDA

Data Min. Knowl. Discov.

Lund University, Sweden (PHD)

Education History

Lund University, Sweden

PHD

Publications

Mohamed Abuella, Hadi Fanaee Tork, Slawomir Nowaczyk, Simon Johansson, Ethan Faghani
Time-Series Analysis Approach for Improving Energy Efficiency of a Fixed-Route Vessel in Short-Sea Shipping. CoRR (2024)
Haroldas Razvadauskas, Evaldas Vaiciukynas, Kazimieras Buskus, Lukas Arlauskas, Slawomir Nowaczyk, Saulius Sadauskas, Albinas Naudziunas
Exploring classical machine learning for identification of pathological lung auscultations. Comput. Biol. Medicine 168 (2024)
João Gama, Slawomir Nowaczyk, Sepideh Pashami, Rita P. Ribeiro, Grzegorz J. Nalepa, Bruno Veloso
XAI for Predictive Maintenance. KDD (2023)
Mohamed Abuella, M. Amine Atoui, Slawomir Nowaczyk, Simon Johansson, Ethan Faghani
Data-Driven Explainable Artificial Intelligence for Energy Efficiency in Short-Sea Shipping. ECML/PKDD (7) (2023)
Zahra Taghiyarrenani, Abdallah Alabdallah, Slawomir Nowaczyk, Sepideh Pashami
Heterogeneous Federated Learning via Personalized Generative Networks. CoRR (2023)
Guojun Liang, Prayag Tiwari, Slawomir Nowaczyk, Stefan Byttner, Fernando Alonso-Fernandez
Dynamic Causal Explanation Based Diffusion-Variational Graph Neural Network for Spatio-temporal Forecasting. CoRR (2023)
Amirhossein Berenji, Slawomir Nowaczyk, Zahra Taghiyarrenani
Data-Centric Perspective on Explainability Versus Performance Trade-Off. IDA (2023)
Peyman Sheikholharam Mashhadi, Slawomir Nowaczyk
Learning Causal Mechanisms through Orthogonal Neural Networks. CoRR (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)
Parisa Jamshidi, Slawomir Nowaczyk, Mahmoud Rahat
EcoShap: Save Computations by only Calculating Shapley Values for Relevant Features. ECAI Workshops (1) (2023)
Alexander Galozy, Slawomir Nowaczyk
Information-gathering in latent bandits. Knowl. Based Syst. 260 (2023)
Alexander Galozy, Sadi Alawadi, Victor R. Kebande, Slawomir Nowaczyk
Beyond Random Noise: Insights on Anonymization Strategies from a Latent Bandit Study. CoRR (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)
Zahra Kharazian, Mahmoud Rahat, Fábio F. Gama, Peyman Sheikholharam Mashhadi, Slawomir Nowaczyk, Tony Lindgren, Sindri Magnússon
AID4HAI: Automatic Idea Detection for Healthcare-Associated Infections from Twitter, a Framework Based on Active Learning and Transfer Learning. IDA (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)
Awais Ashfaq, Markus Lingman, Murat Sensoy, Slawomir Nowaczyk
DEED: DEep Evidential Doctor. Artif. Intell. 325 (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)
Guojun Liang, KinTak U, Xin Ning, Prayag Tiwari, Slawomir Nowaczyk, Neeraj Kumar
Semantics-Aware Dynamic Graph Convolutional Network for Traffic Flow Forecasting. IEEE Trans. Veh. Technol. 72 (6) (2023)
Yuantao Fan, Hamid Sarmadi, Slawomir Nowaczyk
Incorporating Physics-Based Models into Data Driven Approaches for Air Leak Detection in City Buses. PKDD/ECML Workshops (2) (2022)
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)
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)
Amirhossein Berenji, Zahra Taghiyarrenani, Slawomir Nowaczyk
curr2vib: Modality Embedding Translation for Broken-Rotor Bar Detection. PKDD/ECML Workshops (2) (2022)
Samaneh Jamshidi, Slawomir Nowaczyk, Hadi Fanaee-T, Mahmoud Rahat
A Systematic Approach for Tracking the Evolution of XAI as a Field of Research. PKDD/ECML Workshops (2) (2022)
Slawomir Nowaczyk, Andrea Resmini, Vicky Long, Vaike Fors, Martin Cooney, Eduardo K. Duarte, Sarah Pink, Eren Erdal Aksoy, Alexey V. Vinel, Mark Dougherty
Smaller is smarter: A case for small to medium-sized smart cities. J. Smart Cities Soc. 1 (2) (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)
Hamid Sarmadi, Slawomir Nowaczyk, Rune Prytz, Miguel A. Simão
Attention Horizon as a Predictor for the Fuel Consumption Rate of Drivers. Sensors 22 (6) (2022)
Zahra Taghiyarrenani, Slawomir Nowaczyk, Sepideh Pashami, Mohamed-Rafik Bouguelia
Towards Geometry-Preserving Domain Adaptation for Fault Identification. PKDD/ECML Workshops (2) (2022)
Alexander Galozy, Slawomir Nowaczyk
Information-Gathering in Latent Bandits. CoRR (2022)
Ece Calikus, Slawomir Nowaczyk, Mohamed-Rafik Bouguelia, Onur Dikmen
Wisdom of the contexts: active ensemble learning for contextual anomaly detection. Data Min. Knowl. Discov. 36 (6) (2022)
Pablo del Moral, Slawomir Nowaczyk, Anita Pinheiro Sant'Anna, Sepideh Pashami
Pitfalls of Assessing Extracted Hierarchies for Multi-Class Classification. CoRR (2021)
Awais Ashfaq, Markus Lingman, Slawomir Nowaczyk
KAFE: Knowledge and Frequency Adapted Embeddings. LOD (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)
Ece Calikus, Slawomir Nowaczyk, Mohamed-Rafik Bouguelia, Onur Dikmen
Wisdom of the Contexts: Active Ensemble Learning for Contextual Anomaly Detection. CoRR (2021)
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)
Alexander Galozy, Slawomir Nowaczyk, Mattias Ohlsson
Corrupted Contextual Bandits with Action Order Constraints. CoRR (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)
Taha Khan, Lina E. Lundgren, David G. Anderson, Irena Nowak, Mark Dougherty, Antanas Verikas, Misha Pavel, Holly B. Jimison, Slawomir Nowaczyk, Vered Aharonson
Assessing Parkinson's disease severity using speech analysis in non-native speakers. Comput. Speech Lang. 61 (2020)
Alexander Galozy, Slawomir Nowaczyk
Prediction and pattern analysis of medication refill adherence through electronic health records and dispensation data. J. Biomed. Informatics X (2020)
Ece Calikus, Slawomir Nowaczyk, Anita Pinheiro Sant'Anna, Onur Dikmen
No free lunch but a cheaper supper: A general framework for streaming anomaly detection. Expert Syst. Appl. 155 (2020)
Juhee Bae, Tove Helldin, Maria Riveiro, Slawomir Nowaczyk, Mohamed-Rafik Bouguelia, Göran Falkman
Interactive Clustering: A Comprehensive Review. ACM Comput. Surv. 53 (1) (2020)
Yuantao Fan, Slawomir Nowaczyk, Thorsteinn S. Rögnvaldsson
Transfer learning for remaining useful life prediction based on consensus self-organizing models. Reliab. Eng. Syst. Saf. 203 (2020)
Alexander Galozy, Slawomir Nowaczyk, Anita Pinheiro Sant'Anna, Mattias Ohlsson, Markus Lingman
Pitfalls of medication adherence approximation through EHR and pharmacy records: Definitions, data and computation. Int. J. Medical Informatics 136 (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)
Ece Calikus, Slawomir Nowaczyk, Anita Pinheiro Sant'Anna, Henrik Gadd, Sven Werner
A Data-Driven Approach for Discovery of Heat Load Patterns in District Heating. CoRR (2019)
Awais Ashfaq, Anita Pinheiro Sant'Anna, Markus Lingman, Slawomir Nowaczyk
Readmission prediction using deep learning on electronic health records. J. Biomed. Informatics 97 (2019)
Alexander Galozy, Slawomir Nowaczyk, Anita Pinheiro Sant'Anna
Towards Understanding ICU Treatments Using Patient Health Trajectories. KR4HC/ProHealth/TEAAM@AIME (2019)
Ece Calikus, Yuantao Fan, Slawomir Nowaczyk, Anita Pinheiro Sant'Anna
Interactive-COSMO: Consensus Self-Organized Models for Fault Detection with Expert Feedback. IDM@WSDM (2019)
Kunru Chen, Sepideh Pashami, Yuantao Fan, Slawomir Nowaczyk
Predicting Air Compressor Failures Using Long Short Term Memory Networks. EPIA (1) (2019)
Grzegorz J. Nalepa, Michal Araszkiewicz, Slawomir Nowaczyk, Szymon Bobek
Building Trust to AI Systems Through Explainability. Technical and legal perspectives. XAILA@JURIX (2019)
Yuantao Fan, Slawomir Nowaczyk, Thorsteinn S. Rögnvaldsson
Transfer learning for Remaining Useful Life Prediction Based on Consensus Self-Organizing Models. CoRR (2019)
Ece Calikus, Slawomir Nowaczyk, Anita Pinheiro Sant'Anna, Onur Dikmen
No Free Lunch But A Cheaper Supper: A General Framework for Streaming Anomaly Detection. CoRR (2019)
Reza Khoshkangini, Sepideh Pashami, Slawomir Nowaczyk
Warranty Claim Rate Prediction Using Logged Vehicle Data. EPIA (1) (2019)
Awais Ashfaq, Slawomir Nowaczyk
Machine learning in healthcare - a system's perspective. CoRR (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)
Thorsteinn S. Rögnvaldsson, Slawomir Nowaczyk, Stefan Byttner, Rune Prytz, Magnus Svensson
Self-monitoring for maintenance of vehicle fleets. Data Min. Knowl. Discov. 32 (2) (2018)
Mohamed-Rafik Bouguelia, Slawomir Nowaczyk, Amir H. Payberah
An adaptive algorithm for anomaly and novelty detection in evolving data streams. Data Min. Knowl. Discov. 32 (6) (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)
Slawomir Nowaczyk, Anita Pinheiro Sant'Anna, Ece Calikus, Yuantao Fan
Monitoring Equipment Operation Through Model and Event Discovery. IDEAL (2) (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)
Mohamed-Rafik Bouguelia, Slawomir Nowaczyk, K. C. Santosh, Antanas Verikas
Agreeing to disagree: active learning with noisy labels without crowdsourcing. Int. J. Mach. Learn. Cybern. 9 (8) (2018)
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)
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
Center for Applied Intelligent Systems Research (Position paper). SAIS (2016)
Xudong Teng, Yuantao Fan, Slawomir Nowaczyk
Evaluation of micro-flaws in metallic material based on a self-organized data-driven approach. ICPHM (2016)
Iulian Carpatorea, Slawomir Nowaczyk, Thorsteinn S. Rögnvaldsson, Marcus Elmer, Johan Lodin
Learning of Aggregate Features for Comparing Drivers Based on Naturalistic Data. ICMLA (2016)
Yuantao Fan, Slawomir Nowaczyk, Thorsteinn S. Rögnvaldsson
Evaluation of Self-Organized Approach for Predicting Compressor Faults in a City Bus Fleet. INNS Conference on Big Data (2015)
Rune Prytz, Slawomir Nowaczyk, Thorsteinn S. Rögnvaldsson, Stefan Byttner
Predicting the need for vehicle compressor repairs using maintenance records and logged vehicle data. Eng. Appl. Artif. Intell. 41 (2015)
Yuantao Fan, Slawomir Nowaczyk, Thorsteinn S. Rögnvaldsson
Incorporating Expert Knowledge into a Self-Organized Approach for Predicting Compressor Faults in a City Bus Fleet. SCAI (2015)
Slawomir Nowaczyk, Rune Prytz, Thorsteinn S. Rögnvaldsson, Stefan Byttner
Towards a Machine Learning Algorithm for Predicting Truck Compressor Failures Using Logged Vehicle Data. SCAI (2013)
Slawomir Nowaczyk, Rune Prytz, Stefan Byttner
Ideas for Fault Detection Using Relation Discovery. SAIS (2012)
Mathias Haage, Jacek Malec, Anders Nilsson, Klas Nilsson, Slawomir Nowaczyk
Declarative-knowledge-based reconfiguration of automation systems using a blackboard architecture. SCAI (2011)
Jacek Malec, Anders Nilsson, Klas Nilsson, Slawomir Nowaczyk
Knowledge-Based Reconfiguration of Automation Systems. CASE (2007)
Slawomir Nowaczyk, Jacek Malec
Learning to evaluate conditional partial plans. ICMLA (2007)
Slawomir Nowaczyk, Jacek Malec
Inductive Logic Programming Algorithm for Estimating Quality of Partial Plans. MICAI (2007)
Slawomir Nowaczyk
Learning of Agents with Limited Resources. AAAI (2006)
Jerzy Stefanowski, Slawomir Nowaczyk
On Using Rule Induction in Multiple Classifiers with a Combiner Aggregation Strategy. ISDA (2005)

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Publication Activity (10 Years)

Top Topics

Top Venues

Slawomir Nowaczyk