Slawomir Nowaczyk
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
40
Venues
24
Active years
2005–2026
Best venue rank
A*
Where they publish
- BIDA10 papers
- AGECCO3 papers
- CISMIS2 papers
- AECAI2 papers
- NationalEPIA2 papers
- AWSDM2 papers
- CICMLA2 papers
- NationalRANLP1 paper
- CSECRYPT1 paper
- ACIKM1 paper
- A*ICDM1 paper
- A*KDD1 paper
- CSEKE1 paper
- BCEC1 paper
- BDSAA1 paper
- BPAKDD1 paper
- BAIME1 paper
- AIUI1 paper
- CJURIX1 paper
- CIDEAL1 paper
- A*WWW1 paper
- NationalHCI1 paper
- A*AAAI1 paper
- CISDA1 paper
Papers
40 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | IDA | Bridging Forecast Accuracy and Inventory KPIs: A Simulation-Based Software Framework. | So Fukuhara, Abdallah Alabdallah, Nuwan Gunasekara, Slawomir Nowaczyk |
| 2026 | IDA | Deep Decision Forest. | Hugo Starck, Ngoc Anh Kiet David Tran, Slawomir Nowaczyk |
| 2026 | ISMIS | From Zero-Shot to Domain Precision: Synthetic Data Fine-Tuning for Robust NER in Low-Resource Domain-Specific Texts. | Adeel Zafar, Slawomir Nowaczyk, Hamid Sarmadi |
| 2026 | ISMIS | How to Use Language Models for Vehicle Service Complaint Classification Under Industrial Constraints? | Adeel Zafar, Slawomir Nowaczyk, Hamid Sarmadi, Saeed Gholami Shahbandi, Nuwan Gunasekara |
| 2025 | IDA | Pragmatic Paradigm for Multi-stream Regression. | Nuwan Gunasekara, Slawomir Nowaczyk, Sepideh Pashami |
| 2025 | IDA | Assessing the Graph Structure Learning in Graph Deviation Networks. | Canberk Ozen, Slawomir Nowaczyk, Prayag Tiwari, Sepideh Pashami |
| 2025 | IDA | Bridging Spatial and Temporal Contexts: Sparse Transfer Learning. | Daniel Persson, William Wahlberg, Anna Vettoruzzo, Slawomir Nowaczyk |
| 2025 | IDA | Balancing Performance and Scalability of Demand Forecasting ML Models. | Mateusz Zarski, Slawomir Nowaczyk |
| 2025 | RANLP | From Courtroom to Corpora: Building a Name Entity Corpus for Urdu Legal Texts. | Adeel Zafar, Sohail Ashraf, Slawomir Nowaczyk |
| 2025 | SECRYPT | Privacy-Preserving Machine Learning in IoT: A Study of Data Obfuscation Methods. | Yonan Yonan, Mohammad O. Abdullah, Felix Nilsson, Mahdi Fazeli, Ahmad Patooghy, Slawomir Nowaczyk |
| 2024 | CIKM | Higher-order Spatio-temporal Physics-incorporated Graph Neural Network for Multivariate Time Series Imputation. | Guojun Liang, Prayag Tiwari, Slawomir Nowaczyk, Stefan Byttner |
| 2024 | GECCO | Improving Concordance Index in Regression-based Survival Analysis: Evolutionary Discovery of Loss Function for Neural Networks. | Mohammed Ghaith Altarabichi, Abdallah Alabdallah, Sepideh Pashami, Thorsteinn S. Rgnvaldsson, Slawomir Nowaczyk, Mattias Ohlsson |
| 2024 | GECCO | A Review of Randomness Techniques in Deep Neural Networks. | Mohammed Ghaith Altarabichi, Slawomir Nowaczyk, Sepideh Pashami, Peyman Sheikholharam Mashhadi, Julia Handl |
| 2024 | IDA | Mind the Data, Measuring the Performance Gap Between Tree Ensembles and Deep Learning on Tabular Data. | Axel Karlsson, Tianze Wang, Slawomir Nowaczyk, Sepideh Pashami, Sahar Asadi |
| 2023 | ECAI | Towards Explainable Deep Domain Adaptation. | Szymon Bobek, Slawomir Nowaczyk, Sepideh Pashami, Zahra Taghiyarrenani, Grzegorz J. Nalepa |
| 2023 | ECAI | EcoShap: Save Computations by only Calculating Shapley Values for Relevant Features. | Parisa Jamshidi, Slawomir Nowaczyk, Mahmoud Rahat |
| 2023 | GECCO | Fast Genetic Algorithm for feature selection - A qualitative approximation approach. | Mohammed Ghaith Altarabichi, Slawomir Nowaczyk, Sepideh Pashami, Peyman Sheikholharam Mashhadi |
| 2023 | ICDM | Toward Solving Domain Adaptation with Limited Source Labeled Data. | Kunru Chen, Thorsteinn S. Rgnvaldsson, Slawomir Nowaczyk, Sepideh Pashami, Jonas Klang, Gustav Sternelv |
| 2023 | IDA | Data-Centric Perspective on Explainability Versus Performance Trade-Off. | Amirhossein Berenji, Slawomir Nowaczyk, Zahra Taghiyarrenani |
| 2023 | IDA | AID4HAI: Automatic Idea Detection for Healthcare-Associated Infections from Twitter, a Framework Based on Active Learning and Transfer Learning. | Zahra Kharazian, Mahmoud Rahat, Fbio F. Gama, Peyman Sheikholharam Mashhadi, Slawomir Nowaczyk, Tony Lindgren, Sindri Magnsson |
| 2023 | KDD | XAI for Predictive Maintenance. | Joo Gama, Slawomir Nowaczyk, Sepideh Pashami, Rita P. Ribeiro, Grzegorz J. Nalepa, Bruno Veloso |
| 2022 | IDA | A Fault Detection Framework Based on LSTM Autoencoder: A Case Study for Volvo Bus Data Set. | Narjes Davari, Sepideh Pashami, Bruno Veloso, Slawomir Nowaczyk, Yuantao Fan, Pedro Mota Pereira, Rita P. Ribeiro, Joo Gama |
| 2022 | SEKE | An Explainable Knowledge-based AI Framework for Mobility as a Service. | Enayat Rajabi, Slawomir Nowaczyk, Sepideh Pashami, Magnus Bergquist |
| 2021 | CEC | Surrogate-Assisted Genetic Algorithm for Wrapper Feature Selection. | Mohammed Ghaith Altarabichi, Slawomir Nowaczyk, Sepideh Pashami, Peyman Sheikholharam Mashhadi |
| 2021 | DSAA | Extracting Invariant Features for Predicting State of Health of Batteries in Hybrid Energy Buses. | Mohammed Ghaith Altarabichi, Yuantao Fan, Sepideh Pashami, Peyman Sheikholharam Mashhadi, Slawomir Nowaczyk |
| 2020 | PAKDD | Decentralized and Adaptive K-Means Clustering for Non-IID Data Using HyperLogLog Counters. | Amira Soliman, Sarunas Girdzijauskas, Mohamed-Rafik Bouguelia, Sepideh Pashami, Slawomir Nowaczyk |
| 2019 | AIME | Towards Understanding ICU Treatments Using Patient Health Trajectories. | Alexander Galozy, Slawomir Nowaczyk, Anita Pinheiro Sant'Anna |
| 2019 | EPIA | Predicting Air Compressor Failures Using Long Short Term Memory Networks. | Kunru Chen, Sepideh Pashami, Yuantao Fan, Slawomir Nowaczyk |
| 2019 | EPIA | Warranty Claim Rate Prediction Using Logged Vehicle Data. | Reza Khoshkangini, Sepideh Pashami, Slawomir Nowaczyk |
| 2019 | IUI | Eliciting Structures in Data. | Ahmad Al-Shishtawy, Juhee Bae, Mohamed-Rafik Bouguelia, Gran Falkman, Sarunas Girdzijauskas, Olof Gnerup, Anders Holst, Alexander Karlsson, Slawomir Nowaczyk, Sepideh Pashami, Alan Said, Amira A. Soliman El Hosary |
| 2019 | JURIX | Building Trust to AI Systems Through Explainability. Technical and legal perspectives. | Grzegorz J. Nalepa, Michal Araszkiewicz, Slawomir Nowaczyk, Szymon Bobek |
| 2019 | WSDM | Interactive-COSMO: Consensus Self-Organized Models for Fault Detection with Expert Feedback. | Ece Calikus, Yuantao Fan, Slawomir Nowaczyk, Anita Pinheiro Sant'Anna |
| 2019 | WSDM | Interactive feature extraction for diagnostic trouble codes in predictive maintenance: A case study from automotive domain. | Parivash Pirasteh, Slawomir Nowaczyk, Sepideh Pashami, Magnus Lwenadler, Klas Thunberg, Henrik Ydreskog, Peter Berck |
| 2018 | IDEAL | Monitoring Equipment Operation Through Model and Event Discovery. | Slawomir Nowaczyk, Anita Pinheiro Sant'Anna, Ece Calikus, Yuantao Fan |
| 2018 | WWW | Pitfalls of Affective Computing: How can the automatic visual communication of emotions lead to harm, and what can be done to mitigate such risks. | Martin Cooney, Sepideh Pashami, Anita Pinheiro Sant'Anna, Yuantao Fan, Slawomir Nowaczyk |
| 2016 | HCI | Supporting Analytical Reasoning - A Study from the Automotive Industry. | Tove Helldin, Maria Riveiro, Sepideh Pashami, Gran Falkman, Stefan Byttner, Slawomir Nowaczyk |
| 2016 | ICMLA | Learning of Aggregate Features for Comparing Drivers Based on Naturalistic Data. | Iulian Carpatorea, Slawomir Nowaczyk, Thorsteinn S. Rgnvaldsson, Marcus Elmer, Johan Lodin |
| 2007 | ICMLA | Learning to evaluate conditional partial plans. | Slawomir Nowaczyk, Jacek Malec |
| 2006 | AAAI | Learning of Agents with Limited Resources. | Slawomir Nowaczyk |
| 2005 | ISDA | On Using Rule Induction in Multiple Classifiers with a Combiner Aggregation Strategy. | Jerzy Stefanowski, Slawomir Nowaczyk |