Sławomir Nowaczyk

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Sławomir Nowaczyk

Sławomir Nowaczyk, Associate Professor, PhD



Family Name: Nowaczyk
Given Name: Sławomir
Role: Associate Professor
Title: PhD
Subject: Computer Science
Email: slawomir.nowaczyk@hh.se
url: 
Phone: +46-729-773-599
Cell Phone: 




Courses:
  Teaching: Artificial Intelligence (7.5 credits) Administration of Operating Systems (7.5 credits)Data Mining (7.5 credits)
Subject areas: Computer Science, Learning Systems
Application areas: Intelligent Vehicles
Projects: ReDi2Service, VPMS, InnoMerge, FuelFEET, EIS-IGS Smart Grids, Science without Borders, In4Uptime, ARISE, IMedA, SeMI, HEALTH, BIDAF

Research Interests

  • Artificial Intelligence
    • Machine Learning
    • Knowledge Representation
    • Rational Agents
    • Planning
    • Non-standard Logics
  • Diagnostics
  • Programming Languages

Journal publications registered in DiVA

Reza Khoshkangini, Sepideh Pashami, Sławomir Nowaczyk (2019). Warranty Claim Rate Prediction using Logged Vehicle Data. Lecture Notes in Computer Science. 11804, pp. 663-674

Mohamed-Rafik Bouguelia, Sławomir Nowaczyk, Amir H. Payberah (2018). An adaptive algorithm for anomaly and novelty detection in evolving data streams. Data mining and knowledge discovery. 32(6), pp. 1597-1633

Ece Calikus, Sławomir Nowaczyk, Anita Sant'Anna, Stefan Byttner (2018). Ranking Abnormal Substations by Power Signature Dispersion. Energy Procedia. 149, pp. 345-353

Evaldas Vaiciukynas, Matej Uličný, Sepideh Pashami, Sławomir Nowaczyk (2018). Learning Low-Dimensional Representation of Bivariate Histogram Data. IEEE transactions on intelligent transportation systems (Print). 19(11), pp. 3723-3735

Thorsteinn Rögnvaldsson, Sławomir Nowaczyk, Stefan Byttner, Rune Prytz, Magnus Svensson (2018). Self-monitoring for maintenance of vehicle fleets. Data mining and knowledge discovery. 32(2), pp. 344-384

Mohamed-Rafik Bouguelia, Sławomir Nowaczyk, K. C. Santosh, Antanas Verikas (2017). Agreeing to disagree : active learning with noisy labels without crowdsourcing. International Journal of Machine Learning and Cybernetics.

Yuantao Fan, Sławomir Nowaczyk, Thorsteinn Rögnvaldsson (2015). Incorporating Expert Knowledge into a Self-Organized Approach for Predicting Compressor Faults in a City Bus Fleet. Frontiers in Artificial Intelligence and Applications. 278, pp. 58-67

Rune Prytz, Sławomir Nowaczyk, Thorsteinn Rögnvaldsson, Stefan Byttner (2015). Predicting the need for vehicle compressor repairs using maintenance records and logged vehicle data. Engineering applications of artificial intelligence. 41, pp. 139-150

Jerzy Stefanowski, Sławomir Nowaczyk (2007). An Experimental Study of Using Rule Induction Algorithm in Combiner Multiple Classifier. International Journal of Computational Intelligence Research. 3(4), pp. 335-342

Conference publications registered in DiVA

Parivash Pirasteh, Sławomir Nowaczyk, Sepideh Pashami, Magnus Löwenadler, Klas Thunberg, Henrik Ydreskog, Peter Berck (2019). Interactive feature extraction for diagnostic trouble codes in predictive maintenance : A case study from automotive domain. WSDM 2019: The 12th ACM International Conference on Web Search and Data Mining, Melbourne, VIC, Australia, 11-15 February, 2019.

Ece Calikus, Yuantao Fan, Sławomir Nowaczyk, Anita Sant'Anna (2019). Interactive-cosmo : Consensus self-organized models for fault detection with expert feedback. 1st Workshop on Interactive Data Mining, WIDM 2019, co-located with 12th ACM International Conference on Web Search and Data Mining, WSDM 2019, Melbourne, Australia; 15 February, 2019.

Ece Calikus, Yuantao Fan, Sławomir Nowaczyk, Anita Sant'Anna (2019). Interactive-cosmo: Consensus self-organized models for fault detection with expert feedback. Workshop on Interactive Data Mining, The International Conference on Information and Knowledge Management.

Awais Ashfaq, Sławomir Nowaczyk (2019). Machine learning in healthcare - a system's perspective. 25th ACM SIGKDD Workshop on Epidemiology meets Data Mining and Knowledge Discovery (epiDAMIK '19), Anchorage, Alaska, United States, August 5, 2019.

Kunru Chen, Sepideh Pashami, Yuantao Fan, Sławomir Nowaczyk (2019). Predicting Air Compressor Failures Using Long Short Term Memory Networks. The 19th EPIA Conference on Artificial Intelligence 2019.

Sławomir Nowaczyk, Anita Sant'Anna, Ece Calikus, Yuantao Fan (2018). Monitoring equipment operation through model and event discovery. Intelligent Data Engineering and Automated Learning – IDEAL 2018, 19th International Conference, Madrid, Spain, November 21–23, 2018.

Sepideh Pashami, Anders Holst, Juhee Bae, Sławomir Nowaczyk (2018). Causal discovery using clusters from observational data. FAIM'18 Workshop on CausalML, Stockholm, Sweden, July 15, 2018.

Mohamed-Rafik Bouguelia, Sepideh Pashami, Sławomir Nowaczyk (2017). Multi-Task Representation Learning. 30th Annual Workshop of the Swedish Artificial Intelligence Society (SAIS).

Iulian Carpatorea, Sławomir Nowaczyk, Thorsteinn Rögnvaldsson, Johan Lodin (2017). Features extracted from APPES to enable the categorization of heavy-duty vehicle drivers. Intelligent Systems Conference (IntelliSys 2017), London, United Kingdom, 7-8 September, 2017.

Tove Helldin, Maria Riveiro, Sepideh Pashami, Göran Falkman, Stefan Byttner, Sławomir Nowaczyk (2016). Supporting Analytical Reasoning : A Study from the Automotive Industry. 18th International Conference, HCI International 2016, Toronto, Canada, July 17-22, 2016.

Xudong Teng, Yuantao Fan, Sławomir Nowaczyk (2016). Evaluation of Micro-flaws in Metallic Material Based on A Self-Organized Data-driven Approach. 2016 IEEE International Conference on Prognostics and Health Management, Carleton University, Ottawa, ON, Canada, June 20-22, 2016.

Hassan Mashad Nemati, Anita Sant'Anna, Sławomir Nowaczyk (2016). Bayesian Network Representation of Meaningful Patterns in Electricity Distribution Grids. 2016 IEEE International Energy Conference (ENERGYCON), 4-8 April, Leuven, Belgium, 4-8 april, 2016.

Iulian Carpatorea, Sławomir Nowaczyk, Thorsteinn Rögnvaldsson, Marcus Elmer, Johan Lodin (2016). Learning of Aggregate Features for Comparing Drivers Based on Naturalistic Data. IEEE 15th International Conference on Machine Learning and Applications, ICMLA 2016, Anaheim, United States, 18-20 December, 2016.

Yuantao Fan, Sławomir Nowaczyk, Thorsteinn Rögnvaldsson, Eric Aislan Antonelo (2016). Predicting Air Compressor Failures with Echo State Networks. Third European Conference of the Prognostics and Health Management Society 2016, Bilbao, Spain, 5-8 July, 2016.

Hassan Mashad Nemati, Anita Sant'Anna, Sławomir Nowaczyk (2015). Reliability Evaluation of Underground Power Cables with Probabilistic Models. The 11th International Conference on Data Mining (DMIN'15), Las Vegas, Nevada, USA, July 27-30, 2015.

Yuantao Fan, Sławomir Nowaczyk, Thorsteinn Rögnvaldsson (2014). Using Histograms to Find Compressor Deviations in Bus Fleet Data. The Swedish AI Society (SAIS) Workshop 2014, Stockholm, Sweden, May 22-23, 2014.

Iulian Carpatorea, Sławomir Nowaczyk, Thorsteinn Rögnvaldsson, Marcus Elmer (2014). Towards Data Driven Method for Quantifying Performance of Truck Drivers. 28th Annual workshop of the Swedish Artificial Intelligence Society (SAIS), Stockholm, Sweden, May 22-23, 2014.

Hassan Mashad Nemati, Anita Sant'Anna, Sławomir Nowaczyk (2014). Overview of Smart Grid Challenges in Sweden. 28th annual workshop of the Swedish Artificial Intelligence Society (SAIS), Stockholm, Sweden, May 22-23, 2014.

Iulian Carpatorea, Sławomir Nowaczyk, Thorsteinn Rögnvaldsson, Marcus Elmer (2014). APPES Maps as Tools for Quantifying Performance of Truck Drivers. The 10th International Conference on Data Mining, DMIN´14, July 21-24, Las Vegas, Nevada, USA.

Sławomir Nowaczyk, Rune Prytz, Thorsteinn Rögnvaldsson, Stefan Byttner (2013). Towards a Machine Learning Algorithm for Predicting Truck Compressor Failures Using Logged Vehicle Data. 12th Scandinavian Conference on Artificial Intelligence, Aalborg, Denmark, November 20–22, 2013.

Rune Prytz, Sławomir Nowaczyk, Thorsteinn Rögnvaldsson, Stefan Byttner (2013). Analysis of Truck Compressor Failures Based on Logged Vehicle Data. 9th International Conference on Data Mining, Las Vegas, Nevada, USA, July 22–25, 2013.

Stefan Byttner, Sławomir Nowaczyk, Rune Prytz, Thorsteinn Rögnvaldsson (2013). A field test with self-organized modeling for knowledge discovery in a fleet of city buses. 10th IEEE International Conference on Mechatronics and Automation, IEEE ICMA 2013, Takamastu, Japan, 4-7 August, 2013.

Sławomir Nowaczyk, Stefan Byttner, Rune Prytz (2012). Ideas for Fault Detection Using Relation Discovery. The 27th annual workshop of the Swedish Artificial Intelligence Society (SAIS), 14–15 May 2012, Örebro, Sweden.

Rune Prytz, Sławomir Nowaczyk, Stefan Byttner (2011). Towards relation discovery for diagnostics. 17th ACM SIGKDD Conference on Knowledge Discovery and Data Mining.

Mathias Haage, Jacek Malec, Anders Nilsson, Klas Nilsson, Sławomir Nowaczyk (2011). Declarative Knowledge-Based Reconfiguration of Automation Systems Using a Blackboard Architecture. 11th Scandinavian Conference on Artificial Intelligence, Trondheim, Norway, May 24-26.

Sławomir Nowaczyk (2009). A Knowledge-Based Approach to Modelling Planning Domains with Uncertainty for Resource Bounded Agents. 7th Conference on Computer Methods and Systems, Krakow, Poland, 26-27 November.

Jacek Malec, Anders Nilsson, Klas Nilsson, Sławomir Nowaczyk (2007). Knowledge-Based Reconfiguration of Automation Systems. 3rd IEEE International Conference on Automation Science and Engineering (IEEE CASE), Scottsdale, AZ, SEP 22-25, 2007.

Ola Angelsmark, Jacek Malec, Klas Nilsson, Sławomir Nowaczyk, Leonardo Prosperi (2007). Knowledge Representation for Reconfigurable Automation Systems. International Conference on Robotics and Automation (ICRA-07), Workshop on Semantic Information in Robotics, Rome, Italy, 10 April, 2007.

Sławomir Nowaczyk, Jacek Malec (2007). An architecture for resource bounded agents. International Multiconference on Computer Science and Information Technology, Wisła, Poland, October 15–17.

Sławomir Nowaczyk, Jacek Malec (2007). Learning to evaluate conditional partial plans. Sixth International Conference on Machine Learning and Applications, 13-15 Dec. 2007, Cincinnati, Ohio, USA.

Sławomir Nowaczyk, Jacek Malec (2007). Relative relevance of subsets of agent's knowledge. Multi-Agent Logics, Languages and Organisations – Federated Workshops (MALLOW'007), Durham, UK, 3-7 September.

Sławomir Nowaczyk (2007). Knowledge Representation for Learning How to Evaluate Partial Plans. 24th Annual Workshop of the Swedish Artificial Intelligence Society (SAIS-07), Borås, May 22-23.

Sławomir Nowaczyk, Jacek Malec (2007). An Architecture for Resource Bounded Agents. International Multiconference on Computer Science and Information Technology (IMCSIT’07), Wisła, Poland, October 15–17, 2007.

Sławomir Nowaczyk, Jacek Malec (2007). Inductive logic programming algorithm for estimating quality of partial plans. 6th Mexican International Conference on Artificial Intelligence, Aguascalientes, Mexico, November 4-10, 2007.

Sławomir Nowaczyk, Jacek Malec (2007). Learning to Evaluate Conditional Partial Plans. Planning to Learn Workshop, The 18th European Conference on Machine Learning (ECML) and the 11th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD) (ECML/PKDD 2007), September 17-21, 2007, Warsaw, Poland.

Sławomir Nowaczyk (2006). Partial planning for situated agents based on active logic. Workshop on Logics for Resource Bounded Agents, 18th European Summer School in Logic Language and Information (ESSLLI 2006), University of Málaga, Málaga, Spain, 31 July-11 August.

Sławomir Nowaczyk (2006). Learning and Planning of Situated Resource Bounded Agents. The 23rd Annual Workshop of the Swedish Artificial Intelligence Society Workshop, Umeå, Sweden, May 10-12.

Sławomir Nowaczyk (2006). Learning of agents with limited resources. 21st National Conference on Artificial Intelligence and the 18th Innovative Applications of Artificial Intelligence Conference, AAAI-06/IAAI-06;Boston, MA, USA 16-20 July.

Jacek Malec, Sławomir Nowaczyk (2005). Deduction and Exploratory Assessment of Partial Plans. Workshop on Planning and Learning in A Priori Unknown or Dynamic Domains (IJCAI-05), Edinburgh, United Kingdom, 30 July - 5 Aug 2005.

Jerzy Stefanowski, Sławomir Nowaczyk (2005). On using rule induction in multiple classifiers with a combiner aggregation strategy. 5th International Conference on Intelligent Systems Design and Applications 2005, ISDA '05, 8-10 September 2005, Wroclaw, Poland.