Slawomir Nowaczyk
Orcid: 0000-0002-7796-5201
According to our database1,
Slawomir Nowaczyk
authored at least 84 papers
between 2005 and 2024.
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Bibliography
2024
Exploring classical machine learning for identification of pathological lung auscultations.
Comput. Biol. Medicine, January, 2024
Time-Series Analysis Approach for Improving Energy Efficiency of a Fixed-Route Vessel in Short-Sea Shipping.
CoRR, 2024
Mind the Data, Measuring the Performance Gap Between Tree Ensembles and Deep Learning on Tabular Data.
Proceedings of the Advances in Intelligent Data Analysis XXII, 2024
2023
Expert Syst. Appl., August, 2023
IEEE Trans. Veh. Technol., June, 2023
Pattern Recognit., April, 2023
Expert Syst. Appl., 2023
CoRR, 2023
Beyond Random Noise: Insights on Anonymization Strategies from a Latent Bandit Study.
CoRR, 2023
Dynamic Causal Explanation Based Diffusion-Variational Graph Neural Network for Spatio-temporal Forecasting.
CoRR, 2023
Proceedings of the Joint Proceedings of the xAI-2023 Late-breaking Work, 2023
Data-Driven Explainable Artificial Intelligence for Energy Efficiency in Short-Sea Shipping.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track, 2023
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
AID4HAI: Automatic Idea Detection for Healthcare-Associated Infections from Twitter, a Framework Based on Active Learning and Transfer Learning.
Proceedings of the Advances in Intelligent Data Analysis XXI, 2023
Proceedings of the Advances in Intelligent Data Analysis XXI, 2023
Proceedings of the IEEE International Conference on Data Mining, 2023
Proceedings of the Artificial Intelligence. ECAI 2023 International Workshops - XAI³, TACTIFUL, XI-ML, SEDAMI, RAAIT, AI4S, HYDRA, AI4AI, Kraków, Poland, September 30, 2023
Proceedings of the Artificial Intelligence. ECAI 2023 International Workshops - XAI³, TACTIFUL, XI-ML, SEDAMI, RAAIT, AI4S, HYDRA, AI4AI, Kraków, Poland, September 30, 2023
2022
Sensors, 2022
Semi-Supervised Learning for Forklift Activity Recognition from Controller Area Network (CAN) Signals.
Sensors, 2022
J. Smart Cities Soc., 2022
Data Min. Knowl. Discov., 2022
Proceedings of the 34th International Conference on Software Engineering and Knowledge Engineering, 2022
Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2022
Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2022
Incorporating Physics-Based Models into Data Driven Approaches for Air Leak Detection in City Buses.
Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2022
Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2022
A Fault Detection Framework Based on LSTM Autoencoder: A Case Study for Volvo Bus Data Set.
Proceedings of the Advances in Intelligent Data Analysis XX, 2022
2021
Proceedings of the Machine Learning, Optimization, and Data Science, 2021
Extracting Invariant Features for Predicting State of Health of Batteries in Hybrid Energy Buses.
Proceedings of the 8th IEEE International Conference on Data Science and Advanced Analytics, 2021
Proceedings of the IEEE Congress on Evolutionary Computation, 2021
2020
Transfer learning for remaining useful life prediction based on consensus self-organizing models.
Reliab. Eng. Syst. Saf., 2020
Prediction and pattern analysis of medication refill adherence through electronic health records and dispensation data.
J. Biomed. Informatics X, 2020
Pitfalls of medication adherence approximation through EHR and pharmacy records: Definitions, data and computation.
Int. J. Medical Informatics, 2020
No free lunch but a cheaper supper: A general framework for streaming anomaly detection.
Expert Syst. Appl., 2020
Comput. Speech Lang., 2020
Proceedings of the IoT Streams for Data-Driven Predictive Maintenance and IoT, Edge, and Mobile for Embedded Machine Learning, 2020
Decentralized and Adaptive K-Means Clustering for Non-IID Data Using HyperLogLog Counters.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020
Understanding Association Between Logged Vehicle Data and Vehicle Marketing Parameters: Using Clustering and Rule-Based Machine Learning.
Proceedings of the IMMS 2020: 2020 3rd International Conference on Information Management and Management Science, 2020
2019
J. Biomed. Informatics, 2019
CoRR, 2019
Interactive feature extraction for diagnostic trouble codes in predictive maintenance: A case study from automotive domain.
Proceedings of the Workshop on Interactive Data Mining, 2019
Interactive-COSMO: Consensus Self-Organized Models for Fault Detection with Expert Feedback.
Proceedings of the Workshop on Interactive Data Mining, 2019
Building Trust to AI Systems Through Explainability. Technical and legal perspectives.
Proceedings of the 2nd EXplainable AI in Law Workshop (XAILA 2019) co-located with 32nd International Conference on Legal Knowledge and Information Systems (JURIX 2019), 2019
Proceedings of the Joint Proceedings of the ACM IUI 2019 Workshops co-located with the 24th ACM Conference on Intelligent User Interfaces (ACM IUI 2019), 2019
Proceedings of the Progress in Artificial Intelligence, 2019
Proceedings of the Progress in Artificial Intelligence, 2019
Proceedings of the Artificial Intelligence in Medicine: Knowledge Representation and Transparent and Explainable Systems, 2019
2018
IEEE Trans. Intell. Transp. Syst., 2018
Int. J. Mach. Learn. Cybern., 2018
Data Min. Knowl. Discov., 2018
Pitfalls of Affective Computing: How can the automatic visual communication of emotions lead to harm, and what can be done to mitigate such risks.
Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2018, 2018
2017
Proceedings of the 30th Annual Workshop of the Swedish Artificial Intelligence Society, 2017
2016
Proceedings of the 29th Annual Workshop of the Swedish Artificial Intelligence Society, 2016
Evaluation of micro-flaws in metallic material based on a self-organized data-driven approach.
Proceedings of the IEEE International Conference on Prognostics and Health Management, 2016
Proceedings of the 15th IEEE International Conference on Machine Learning and Applications, 2016
Proceedings of the Human Interface and the Management of Information: Applications and Services, 2016
2015
Predicting the need for vehicle compressor repairs using maintenance records and logged vehicle data.
Eng. Appl. Artif. Intell., 2015
Incorporating Expert Knowledge into a Self-Organized Approach for Predicting Compressor Faults in a City Bus Fleet.
Proceedings of the Thirteenth Scandinavian Conference on Artificial Intelligence, 2015
Evaluation of Self-Organized Approach for Predicting Compressor Faults in a City Bus Fleet.
Proceedings of the INNS Conference on Big Data 2015, 2015
2013
Towards a Machine Learning Algorithm for Predicting Truck Compressor Failures Using Logged Vehicle Data.
Proceedings of the Twelfth Scandinavian Conference on Artificial Intelligence, 2013
2012
Proceedings of the 27th Annual Workshop of the Swedish Artificial Intelligence Society, 2012
2011
Declarative-knowledge-based reconfiguration of automation systems using a blackboard architecture.
Proceedings of the Eleventh Scandinavian Conference on Artificial Intelligence, 2011
2008
Conditional Partial Plans for Rational Situated Agents Capable of Deductive Reasoning and Inductive Learning.
PhD thesis, 2008
2007
Proceedings of the MICAI 2007: Advances in Artificial Intelligence, 2007
Proceedings of the Sixth International Conference on Machine Learning and Applications, 2007
Proceedings of the IEEE Conference on Automation Science and Engineering, 2007
2006
2005
On Using Rule Induction in Multiple Classifiers with a Combiner Aggregation Strategy.
Proceedings of the Fifth International Conference on Intelligent Systems Design and Applications (ISDA 2005), 2005