On Using Rule Induction in Multiple Classifiers with a Combiner Aggregation Strategy. - Jerzy Stefanowski; Slawomir Nowaczyk (ISDA, 2005)

Learning of Agents with Limited Resources. - Slawomir Nowaczyk (AAAI, 2006)

Knowledge-Based Reconfiguration of Automation Systems. - Jacek Malec; Anders Nilsson 003; Klas Nilsson; Slawomir Nowaczyk (CASE, 2007)

Learning to evaluate conditional partial plans. - Slawomir Nowaczyk; Jacek Malec (ICMLA, 2007)

Inductive Logic Programming Algorithm for Estimating Quality of Partial Plans. - Slawomir Nowaczyk; Jacek Malec (MICAI, 2007)

Conditional Partial Plans for Rational Situated Agents Capable of Deductive Reasoning and Inductive Learning. - Slawomir Nowaczyk (2008)

Declarative-knowledge-based reconfiguration of automation systems using a blackboard architecture. - Mathias Haage; Jacek Malec; Anders Nilsson 003; Klas Nilsson; Slawomir Nowaczyk (SCAI, 2011)

Ideas for Fault Detection Using Relation Discovery. - Slawomir Nowaczyk; Rune Prytz; Stefan Byttner (SAIS, 2012)

Towards a Machine Learning Algorithm for Predicting Truck Compressor Failures Using Logged Vehicle Data. - Slawomir Nowaczyk; Rune Prytz; Thorsteinn S. Rögnvaldsson; Stefan Byttner (SCAI, 2013)

Evaluation of Self-Organized Approach for Predicting Compressor Faults in a City Bus Fleet. - Yuantao Fan; Slawomir Nowaczyk; Thorsteinn S. Rögnvaldsson (INNS Conference on Big Data, 2015)

Incorporating Expert Knowledge into a Self-Organized Approach for Predicting Compressor Faults in a City Bus Fleet. - Yuantao Fan; Slawomir Nowaczyk; Thorsteinn S. Rögnvaldsson (SCAI, 2015)

Predicting the need for vehicle compressor repairs using maintenance records and logged vehicle data. - Rune Prytz; Slawomir Nowaczyk; Thorsteinn S. Rögnvaldsson; Stefan Byttner (Eng. Appl. Artif. Intell., 2015)

Supporting Analytical Reasoning - A Study from the Automotive Industry. - Tove Helldin; Maria Riveiro 001; Sepideh Pashami; Göran Falkman; Stefan Byttner; Slawomir Nowaczyk (HCI (5), 2016)

Learning of Aggregate Features for Comparing Drivers Based on Naturalistic Data. - Iulian Carpatorea; Slawomir Nowaczyk; Thorsteinn S. Rögnvaldsson; Marcus Elmer; Johan Lodin (ICMLA, 2016)

Evaluation of micro-flaws in metallic material based on a self-organized data-driven approach. - Xudong Teng; Yuantao Fan; Slawomir Nowaczyk (ICPHM, 2016)

Center for Applied Intelligent Systems Research (Position paper). - 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 (SAIS, 2016)

Multi-Task Representation Learning. - Mohamed-Rafik Bouguelia; Sepideh Pashami; Slawomir Nowaczyk (SAIS, 2017)

Monitoring Equipment Operation Through Model and Event Discovery. - Slawomir Nowaczyk; Anita Pinheiro Sant'Anna; Ece Calikus; Yuantao Fan (IDEAL (2), 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. - Martin Cooney; Sepideh Pashami; Anita Pinheiro Sant'Anna; Yuantao Fan; Slawomir Nowaczyk (WWW (Companion Volume), 2018)

An adaptive algorithm for anomaly and novelty detection in evolving data streams. - Mohamed-Rafik Bouguelia; Slawomir Nowaczyk; Amir Hossein Payberah (Data Min. Knowl. Discov., 2018)

Self-monitoring for maintenance of vehicle fleets. - Thorsteinn S. Rögnvaldsson; Slawomir Nowaczyk; Stefan Byttner; Rune Prytz; Magnus Svensson (Data Min. Knowl. Discov., 2018)

Mode tracking using multiple data streams. - Mohamed-Rafik Bouguelia; Alexander Karlsson; Sepideh Pashami; Slawomir Nowaczyk; Anders Holst (Inf. Fusion, 2018)

Agreeing to disagree: active learning with noisy labels without crowdsourcing. - Mohamed-Rafik Bouguelia; Slawomir Nowaczyk; KC Santosh; Antanas Verikas (Int. J. Mach. Learn. Cybern., 2018)

Learning Low-Dimensional Representation of Bivariate Histogram Data. - Evaldas Vaiciukynas; Matej Ulicny; Sepideh Pashami; Slawomir Nowaczyk (IEEE Trans. Intell. Transp. Syst., 2018)

Towards Understanding ICU Treatments Using Patient Health Trajectories. - Alexander Galozy; Slawomir Nowaczyk; Anita Pinheiro Sant'Anna (KR4HC/ProHealth/TEAAM@AIME, 2019)

Predicting Air Compressor Failures Using Long Short Term Memory Networks. - Kunru Chen; Sepideh Pashami; Yuantao Fan; Slawomir Nowaczyk (EPIA (1), 2019)

Warranty Claim Rate Prediction Using Logged Vehicle Data. - Reza Khoshkangini; Sepideh Pashami; Slawomir Nowaczyk (EPIA (1), 2019)

Eliciting Structures in Data. - 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 (IUI Workshops, 2019)

Building Trust to AI Systems Through Explainability. Technical and legal perspectives. - Grzegorz J. Nalepa; Michal Araszkiewicz; Slawomir Nowaczyk; Szymon Bobek (XAILA@JURIX, 2019)

Interactive-COSMO: Consensus Self-Organized Models for Fault Detection with Expert Feedback. - Ece Calikus; Yuantao Fan; Slawomir Nowaczyk; Anita Pinheiro Sant'Anna (IDM@WSDM, 2019)

Interactive feature extraction for diagnostic trouble codes in predictive maintenance: A case study from automotive domain. - Parivash Pirasteh; Slawomir Nowaczyk; Sepideh Pashami; Magnus Löwenadler; Klas Thunberg; Henrik Ydreskog; Peter Berck (IDM@WSDM, 2019)

A Data-Driven Approach for Discovery of Heat Load Patterns in District Heating. - Ece Calikus; Slawomir Nowaczyk; Anita Pinheiro Sant'Anna; Henrik Gadd; Sven Werner (CoRR, 2019)

Machine learning in healthcare - a system's perspective. - Awais Ashfaq; Slawomir Nowaczyk (CoRR, 2019)

Readmission prediction using deep learning on electronic health records. - Awais Ashfaq; Anita Pinheiro Sant'Anna; Markus Lingman; Slawomir Nowaczyk (J. Biomed. Informatics, 2019)

Understanding Association Between Logged Vehicle Data and Vehicle Marketing Parameters: Using Clustering and Rule-Based Machine Learning. - Oskar Dahl; Fredrik Johansson; Reza Khoshkangini; Sepideh Pashami; Slawomir Nowaczyk; Pihl Claes (IMMS, 2020)

Decentralized and Adaptive K-Means Clustering for Non-IID Data Using HyperLogLog Counters. - Amira Soliman 001; Sarunas Girdzijauskas; Mohamed-Rafik Bouguelia; Sepideh Pashami; Slawomir Nowaczyk (PAKDD (1), 2020)

Forklift Truck Activity Recognition from CAN Data. - Kunru Chen; Sepideh Pashami; Slawomir Nowaczyk; Emilia Johansson; Gustav Sternelöv; Thorsteinn S. Rögnvaldsson (IoT Streams/ITEM@PKDD/ECML, 2020)

Corrupted Contextual Bandits with Action Order Constraints. - Alexander Galozy; Slawomir Nowaczyk; Mattias Ohlsson (CoRR, 2020)

Assessing Parkinson's disease severity using speech analysis in non-native speakers. - Taha Khan; Lina E. Lundgren; David G. Anderson; Irena Nowak; Mark Dougherty; Antanas Verikas; Misha Pavel; Holly B. Jimison; Slawomir Nowaczyk; Vered Aharonson (Comput. Speech Lang., 2020)

No free lunch but a cheaper supper: A general framework for streaming anomaly detection. - Ece Calikus; Slawomir Nowaczyk; Anita Pinheiro Sant'Anna; Onur Dikmen (Expert Syst. Appl., 2020)

Pitfalls of medication adherence approximation through EHR and pharmacy records: Definitions, data and computation. - Alexander Galozy; Slawomir Nowaczyk; Anita Pinheiro Sant'Anna; Mattias Ohlsson; Markus Lingman (Int. J. Medical Informatics, 2020)

Early Prediction of Quality Issues in Automotive Modern Industry. - Reza Khoshkangini; Peyman Sheikholharam Mashhadi; Peter Berck; Saeed Gholami Shahbandi; Sepideh Pashami; Slawomir Nowaczyk; Tobias Niklasson (Inf., 2020)

Prediction and pattern analysis of medication refill adherence through electronic health records and dispensation data. - Alexander Galozy; Slawomir Nowaczyk (J. Biomed. Informatics X, 2020)

Transfer learning for remaining useful life prediction based on consensus self-organizing models. - Yuantao Fan; Slawomir Nowaczyk; Thorsteinn S. Rögnvaldsson (Reliab. Eng. Syst. Saf., 2020)

Surrogate-Assisted Genetic Algorithm for Wrapper Feature Selection. - Mohammed Ghaith Altarabichi; Slawomir Nowaczyk; Sepideh Pashami; Peyman Sheikholharam Mashhadi (CEC, 2021)

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 (DSAA, 2021)

KAFE: Knowledge and Frequency Adapted Embeddings. - Awais Ashfaq; Markus Lingman; Slawomir Nowaczyk (LOD, 2021)

Interactive Clustering: A Comprehensive Review. - Juhee Bae; Tove Helldin; Maria Riveiro 001; Slawomir Nowaczyk; Mohamed-Rafik Bouguelia; Göran Falkman (ACM Comput. Surv., 2021)

Parallel orthogonal deep neural network. - Peyman Sheikholharam Mashhadi; Slawomir Nowaczyk; Sepideh Pashami (Neural Networks, 2021)

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; João Gama 001 (IDA, 2022)

curr2vib: Modality Embedding Translation for Broken-Rotor Bar Detection. - Amirhossein Berenji; Zahra Taghiyarrenani; Slawomir Nowaczyk (PKDD/ECML Workshops (2), 2022)

Incorporating Physics-Based Models into Data Driven Approaches for Air Leak Detection in City Buses. - Yuantao Fan; Hamid Sarmadi; Slawomir Nowaczyk (PKDD/ECML Workshops (2), 2022)

A Systematic Approach for Tracking the Evolution of XAI as a Field of Research. - Samaneh Jamshidi; Slawomir Nowaczyk; Hadi Fanaee-T; Mahmoud Rahat (PKDD/ECML Workshops (2), 2022)

Towards Geometry-Preserving Domain Adaptation for Fault Identification. - Zahra Taghiyarrenani; Slawomir Nowaczyk; Sepideh Pashami; Mohamed-Rafik Bouguelia (PKDD/ECML Workshops (2), 2022)

An Explainable Knowledge-based AI Framework for Mobility as a Service. - Enayat Rajabi; Slawomir Nowaczyk; Sepideh Pashami; Magnus Bergquist (SEKE, 2022)

Why Is Multiclass Classification Hard? - Pablo del Moral; Slawomir Nowaczyk; Sepideh Pashami (IEEE Access, 2022)

Wisdom of the contexts: active ensemble learning for contextual anomaly detection. - Ece Calikus; Slawomir Nowaczyk; Mohamed-Rafik Bouguelia; Onur Dikmen (Data Min. Knowl. Discov., 2022)

Smaller is smarter: A case for small to medium-sized smart cities. - Slawomir Nowaczyk; Andrea Resmini; Vicky Long; Vaike Fors; Martin Cooney; Eduardo K. Duarte; Sarah Pink; Eren Erdal Aksoy; Alexey V. Vinel; Mark Dougherty (J. Smart Cities Soc., 2022)

Semi-Supervised Learning for Forklift Activity Recognition from Controller Area Network (CAN) Signals. - Kunru Chen; Thorsteinn S. Rögnvaldsson; Slawomir Nowaczyk; Sepideh Pashami; Emilia Johansson; Gustav Sternelöv (Sensors, 2022)

Attention Horizon as a Predictor for the Fuel Consumption Rate of Drivers. - Hamid Sarmadi; Slawomir Nowaczyk; Rune Prytz; Miguel A. Simão (Sensors, 2022)

Towards Explainable Deep Domain Adaptation. - Szymon Bobek; Slawomir Nowaczyk; Sepideh Pashami; Zahra Taghiyarrenani; Grzegorz J. Nalepa (ECAI Workshops (1), 2023)

EcoShap: Save Computations by only Calculating Shapley Values for Relevant Features. - Parisa Jamshidi; Slawomir Nowaczyk; Mahmoud Rahat (ECAI Workshops (1), 2023)

Toward Solving Domain Adaptation with Limited Source Labeled Data. - Kunru Chen; Thorsteinn S. Rögnvaldsson; Slawomir Nowaczyk; Sepideh Pashami; Jonas Klang; Gustav Sternelöv (ICDM (Workshops), 2023)

Data-Centric Perspective on Explainability Versus Performance Trade-Off. - Amirhossein Berenji; Slawomir Nowaczyk; Zahra Taghiyarrenani (IDA, 2023)

AID4HAI: Automatic Idea Detection for Healthcare-Associated Infections from Twitter, a Framework Based on Active Learning and Transfer Learning. - Zahra Kharazian; Mahmoud Rahat; Fábio F. Gama; Peyman Sheikholharam Mashhadi; Slawomir Nowaczyk; Tony Lindgren; Sindri Magnússon (IDA, 2023)

XAI for Predictive Maintenance. - João Gama 001; Slawomir Nowaczyk; Sepideh Pashami; Rita P. Ribeiro; Grzegorz J. Nalepa; Bruno Veloso (KDD, 2023)

Data-Driven Explainable Artificial Intelligence for Energy Efficiency in Short-Sea Shipping. - Mohamed Abuella; M. Amine Atoui; Slawomir Nowaczyk; Simon Johansson; Ethan Faghani (ECML/PKDD (7), 2023)

Why Industry 5.0 Needs XAI 2.0? - Szymon Bobek; Slawomir Nowaczyk; João Gama 001; Sepideh Pashami; Rita P. Ribeiro; Zahra Taghiyarrenani; Bruno Veloso; Lala H. Rajaoarisoa; Maciej Szelazek; Grzegorz J. Nalepa (xAI (Late-breaking Work, Demos, Doctoral Consortium), 2023)

Dynamic Causal Explanation Based Diffusion-Variational Graph Neural Network for Spatio-temporal Forecasting. - Guojun Liang; Prayag Tiwari; Slawomir Nowaczyk; Stefan Byttner; Fernando Alonso-Fernandez (CoRR, 2023)

Learning Causal Mechanisms through Orthogonal Neural Networks. - Peyman Sheikholharam Mashhadi; Slawomir Nowaczyk (CoRR, 2023)

Explainable Predictive Maintenance. - 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; et al. (CoRR, 2023)

Heterogeneous Federated Learning via Personalized Generative Networks. - Zahra Taghiyarrenani; Abdallah Alabdallah; Slawomir Nowaczyk; Sepideh Pashami (CoRR, 2023)

Beyond Random Noise: Insights on Anonymization Strategies from a Latent Bandit Study. - Alexander Galozy; Sadi Alawadi; Victor R. Kebande; Slawomir Nowaczyk (CoRR, 2023)

Forecasting Auxiliary Energy Consumption for Electric Heavy-Duty Vehicles. - Yuantao Fan; Zhenkan Wang; Sepideh Pashami; Slawomir Nowaczyk; Henrik Ydreskog (CoRR, 2023)

Fast Genetic Algorithm for feature selection - A qualitative approximation approach. - Mohammed Ghaith Altarabichi; Slawomir Nowaczyk; Sepideh Pashami; Peyman Sheikholharam Mashhadi (Expert Syst. Appl., 2023)

Information-gathering in latent bandits. - Alexander Galozy; Slawomir Nowaczyk (Knowl. Based Syst., 2023)

Pitfalls of assessing extracted hierarchies for multi-class classification. - Pablo del Moral; Slawomir Nowaczyk; Anita Pinheiro Sant'Anna; Sepideh Pashami (Pattern Recognit., 2023)

Semantics-Aware Dynamic Graph Convolutional Network for Traffic Flow Forecasting. - Guojun Liang; KinTak U; Xin Ning 001; Prayag Tiwari; Slawomir Nowaczyk; Neeraj Kumar 001 (IEEE Trans. Veh. Technol., 2023)

Multi-domain adaptation for regression under conditional distribution shift. - Zahra Taghiyarrenani; Slawomir Nowaczyk; Sepideh Pashami; Mohamed-Rafik Bouguelia (Expert Syst. Appl., 2023)

Material handling machine activity recognition by context ensemble with gated recurrent units. - Kunru Chen; Thorsteinn S. Rögnvaldsson; Slawomir Nowaczyk; Sepideh Pashami; Jonas Klang; Gustav Sternelöv (Eng. Appl. Artif. Intell., 2023)

DEED: DEep Evidential Doctor. - Awais Ashfaq; Markus Lingman; Murat Sensoy; Slawomir Nowaczyk (Artif. Intell., 2023)

Higher-order Spatio-temporal Physics-incorporated Graph Neural Network for Multivariate Time Series Imputation. - Guojun Liang; Prayag Tiwari; Slawomir Nowaczyk; Stefan Byttner (CIKM, 2024)

Message from Kurt Tutschku and Slawomir Nowaczyk, FMEC Chairs. - Slawomir Nowaczyk; Kurt Tutschku (FMEC, 2024)

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. Rögnvaldsson; Slawomir Nowaczyk; Mattias Ohlsson (GECCO Companion, 2024)

A Review of Randomness Techniques in Deep Neural Networks. - Mohammed Ghaith Altarabichi; Slawomir Nowaczyk; Sepideh Pashami; Peyman Sheikholharam Mashhadi; Julia Handl (GECCO Companion, 2024)

Invariant Feature Selection for Battery State of Health Estimation in Heterogeneous Hybrid Electric Bus Fleets. - Yuantao Fan; Mohammed Ghaith Altarabichi; Sepideh Pashami; Peyman Sheikholharam Mashhadi; Slawomir Nowaczyk (HAII5.0@ECAI, 2024)

Evaluating Multi-task Curriculum Learning for Forecasting Energy Consumption in Electric Heavy-duty Vehicles. - Yuantao Fan; Zhenkan Wang; Sepideh Pashami; Slawomir Nowaczyk (HAII5.0@ECAI, 2024)

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 (IDA (1), 2024)

Analysis of characteristic functions on Shapley values in Machine Learning. - Parisa Jamshidi; Slawomir Nowaczyk; Mahmoud Rahat (IE, 2024)

Explainable Federated Learning by Incremental Decision Trees. - Parisa Jamshidi; Slawomir Nowaczyk; Mahmoud Rahat; Zahra Taghiyarrenani (TempXAI@PKDD/ECML, 2024)

Spatial Clustering Approach for Vessel Path Identification. - Mohamed Abuella; M. Amine Atoui; Slawomir Nowaczyk; Simon Johansson; Ethan Faghani (IEEE Access, 2024)

Enhancing Air Quality Forecasting Using Machine Learning Techniques. - Zeinab Shahbazi; Zahra Shahbazi; Slawomir Nowaczyk (IEEE Access, 2024)

Time-Series Analysis Approach for Improving Energy Efficiency of a Fixed-Route Vessel in Short-Sea Shipping. - Mohamed Abuella; Hadi Fanaee Tork; Slawomir Nowaczyk; Simon Johansson; Ethan Faghani (CoRR, 2024)

Data Analytics for Improving Energy Efficiency in Short Sea Shipping. - Mohamed Abuella; Hadi Fanaee Tork; M. Amine Atoui; Slawomir Nowaczyk; Simon Johansson; Ethan Faghani (CoRR, 2024)

Physics-incorporated Graph Neural Network for Multivariate Time Series Imputation. - Guojun Liang; Prayag Tiwari; Slawomir Nowaczyk; Stefan Byttner (CoRR, 2024)

Volvo Discovery Challenge at ECML-PKDD 2024. - Mahmoud Rahat; Peyman Sheikholharam Mashhadi; Slawomir Nowaczyk; Shamik Choudhury; Leo Petrin; Thorsteinn S. Rögnvaldsson; Andreas Voskou; Carlo Metta; Claudio Savelli (CoRR, 2024)

Rolling the dice for better deep learning performance: A study of randomness techniques in deep neural networks. - Mohammed Ghaith Altarabichi; Slawomir Nowaczyk; Sepideh Pashami; Peyman Sheikholharam Mashhadi; Julia Handl (Inf. Sci., 2024)

Exploring classical machine learning for identification of pathological lung auscultations. - Haroldas Razvadauskas; Evaldas Vaiciukynas; Kazimieras Buskus; Lukas Arlauskas; Slawomir Nowaczyk; Saulius Sadauskas; Albinas Naudziunas (Comput. Biol. Medicine, 2024)

Pragmatic Paradigm for Multi-stream Regression. - Nuwan Gunasekara; Slawomir Nowaczyk; Sepideh Pashami (IDA, 2025)

Assessing the Graph Structure Learning in Graph Deviation Networks. - Canberk Ozen; Slawomir Nowaczyk; Prayag Tiwari; Sepideh Pashami (IDA, 2025)

Bridging Spatial and Temporal Contexts: Sparse Transfer Learning. - Daniel Persson; William Wahlberg; Anna Vettoruzzo; Slawomir Nowaczyk (IDA, 2025)

Balancing Performance and Scalability of Demand Forecasting ML Models. - Mateusz Zarski; Slawomir Nowaczyk (IDA, 2025)

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 (SECRYPT, 2025)

Fuzzy Particle Filtering Based Approach for Battery RUL Prediction With Uncertainty Reduction Strategies. - GwanPil Kim; Jason J. Jung; Dong Kyu Kim; Min Koo; Grzegorz J. Nalepa; Slawomir Nowaczyk (Expert Syst. J. Knowl. Eng., 2025)

A new bandit setting balancing information from state evolution and corrupted context. - Alexander Galozy; Slawomir Nowaczyk; Mattias Ohlsson (Data Min. Knowl. Discov., 2025)

Context discovery for anomaly detection. - Ece Calikus; Slawomir Nowaczyk; Onur Dikmen (Int. J. Data Sci. Anal., 2025)

Dynamic Causal Explanation Based Diffusion-Variational Graph Neural Network for Spatiotemporal Forecasting. - Guojun Liang; Prayag Tiwari; Slawomir Nowaczyk; Stefan Byttner; Fernando Alonso-Fernandez (IEEE Trans. Neural Networks Learn. Syst., 2025)