| Predicting the need for vehicle compressor repairs using maintenance records and logged vehicle data R Prytz, S Nowaczyk, T Rögnvaldsson, S Byttner Engineering applications of artificial intelligence 41, 139-150, 2015 | 210 | 2015 |
| Readmission prediction using deep learning on electronic health records A Ashfaq, A Sant’Anna, M Lingman, S Nowaczyk Journal of biomedical informatics 97, 103256, 2019 | 193 | 2019 |
| Agreeing to disagree: active learning with noisy labels without crowdsourcing MR Bouguelia, S Nowaczyk, KC Santosh, A Verikas International Journal of Machine Learning and Cybernetics 9 (8), 1307-1319, 2018 | 114 | 2018 |
| Transfer learning for remaining useful life prediction based on consensus self-organizing models Y Fan, S Nowaczyk, T Rögnvaldsson Reliability Engineering & System Safety 203, 107098, 2020 | 95 | 2020 |
| A data-driven approach for discovering heat load patterns in district heating E Calikus, S Nowaczyk, A Sant'Anna, H Gadd, S Werner Applied Energy 252, 113409, 2019 | 94 | 2019 |
| Interactive Clustering: A Comprehensive Review J Bae, T Helldin, M Riveiro, S Nowaczyk, MR Bouguelia, G Falkman ACM Computing Surveys (CSUR) 53 (1), 1-39, 2020 | 66 | 2020 |
| Knowledge-based reconfiguration of automation systems J Malec, A Nilsson, K Nilsson, S Nowaczyk 2007 IEEE International Conference on Automation Science and Engineering …, 2007 | 59 | 2007 |
| Evaluation of Self-Organized Approach for Predicting Compressor Faults in a City Bus Fleet Y Fan, S Nowaczyk, T Rögnvaldsson Procedia Computer Science 53, 447-456, 2015 | 51 | 2015 |
| Fast Genetic Algorithm for feature selection—A qualitative approximation approach MG Altarabichi, S Nowaczyk, S Pashami, PS Mashhadi Expert Systems with Applications 211, 118528, 2023 | 44 | 2023 |
| Self-monitoring for maintenance of vehicle fleets T Rögnvaldsson, S Nowaczyk, S Byttner, R Prytz, M Svensson Data mining and knowledge discovery 32 (2), 344-384, 2018 | 44 | 2018 |
| Pitfalls of medication adherence approximation through EHR and pharmacy records: Definitions, data and computation A Galozy, S Nowaczyk, A Sant’Anna, M Ohlsson, M Lingman International Journal of Medical Informatics 136, 104092, 2020 | 37 | 2020 |
| Analysis of truck compressor failures based on logged vehicle data R Prytz, S Nowaczyk, T Rögnvaldsson, S Byttner 9th International Conference on Data Mining, Las Vegas, Nevada, USA, July 22 …, 2013 | 37 | 2013 |
| Opportunities for Machine Learning in District Heating G Mbiydzenyuy, S Nowaczyk, H Knutsson, D Vanhoudt, J Brage, ... Applied Sciences 11 (13), 6112, 2021 | 35 | 2021 |
| Early prediction of quality issues in automotive modern industry R Khoshkangini, P Sheikholharam Mashhadi, P Berck, ... Information 11 (7), 354, 2020 | 34 | 2020 |
| How behavior change strategies are used to design digital interventions to improve medication adherence and blood pressure among patients with hypertension: systematic review K Etminani, A Tao Engström, C Göransson, A Sant’Anna, S Nowaczyk Journal of medical Internet research 22 (4), e17201, 2020 | 33 | 2020 |
| No free lunch but a cheaper supper: A general framework for streaming anomaly detection E Calikus, S Nowaczyk, A Sant’Anna, O Dikmen Expert systems with applications 155, 113453, 2020 | 32 | 2020 |
| Predicting air compressor failures using long short term memory networks K Chen, S Pashami, Y Fan, S Nowaczyk Progress in Artificial Intelligence: 19th EPIA Conference on Artificial …, 2019 | 31 | 2019 |
| An adaptive algorithm for anomaly and novelty detection in evolving data streams MR Bouguelia, S Nowaczyk, AH Payberah Data mining and knowledge discovery 32 (6), 1597-1633, 2018 | 29 | 2018 |
| Why Is Multiclass Classification Hard? P Del Moral, S Nowaczyk, S Pashami IEEE Access 10, 80448-80462, 2022 | 28 | 2022 |
| Towards a machine learning algorithm for predicting truck compressor failures using logged vehicle data S Nowaczyk, R Prytz, T Rögnvaldsson, S Byttner Twelfth Scandinavian Conference on Artificial Intelligence, 205-214, 2013 | 27 | 2013 |
Sepideh PashamiAssociate Professor, Halmstad University; Senior researcher, RISE Research Institutes of Sweden在 hh.se 的电子邮件经过验证
