Slawomir Nowaczyk

Mahmoud Rahat

Proceedings of the International Conference on Intelligent Environments, 2024

Mind the Data, Measuring the Performance Gap Between Tree Ensembles and Deep Learning on Tabular Data.

[BibT_eX]

[DOI]

Proceedings of the Advances in Intelligent Data Analysis XXII, 2024

Evaluating Multi-task Curriculum Learning for Forecasting Energy Consumption in Electric Heavy-duty Vehicles.

[BibT_eX]

[DOI]

Proceedings of Workshop on Embracing Human-Aware AI in Industry 5.0 (HAII5.0 2024) co-located with the 27th European Conference on Artificial Intelligence (ECAI 2024), 2024

Invariant Feature Selection for Battery State of Health Estimation in Heterogeneous Hybrid Electric Bus Fleets.

[BibT_eX]

[DOI]

Proceedings of Workshop on Embracing Human-Aware AI in Industry 5.0 (HAII5.0 2024) co-located with the 27th European Conference on Artificial Intelligence (ECAI 2024), 2024

A Review of Randomness Techniques in Deep Neural Networks.

[BibT_eX]

[DOI]

Julia Handl

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

Improving Concordance Index in Regression-based Survival Analysis: Evolutionary Discovery of Loss Function for Neural Networks.

[BibT_eX]

[DOI]

Abdallah Alabdallah

Mattias Ohlsson

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

Message from Kurt Tutschku and Slawomir Nowaczyk, FMEC Chairs.

[BibT_eX]

[DOI]

Kurt Tutschku

Proceedings of the 2024 9th International Conference on Fog and Mobile Edge Computing (FMEC), 2024

Higher-order Spatio-temporal Physics-incorporated Graph Neural Network for Multivariate Time Series Imputation.

[BibT_eX]

[DOI]

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

DEED: DEep Evidential Doctor.

[BibT_eX]

[DOI]

Artif. Intell., December, 2023

Material handling machine activity recognition by context ensemble with gated recurrent units.

[BibT_eX]

[DOI]

Kunru Chen

Eng. Appl. Artif. Intell., November, 2023

Multi-domain adaptation for regression under conditional distribution shift.

[BibT_eX]

[DOI]

Expert Syst. Appl., August, 2023

Semantics-Aware Dynamic Graph Convolutional Network for Traffic Flow Forecasting.

[BibT_eX]

[DOI]

IEEE Trans. Veh. Technol., June, 2023

Pitfalls of assessing extracted hierarchies for multi-class classification.

[BibT_eX]

[DOI]

Pablo del Moral

Pattern Recognit., April, 2023

Information-gathering in latent bandits.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2023

Fast Genetic Algorithm for feature selection - A qualitative approximation approach.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2023

Forecasting Auxiliary Energy Consumption for Electric Heavy-Duty Vehicles.

[BibT_eX]

[DOI]

CoRR, 2023

Beyond Random Noise: Insights on Anonymization Strategies from a Latent Bandit Study.

[BibT_eX]

[DOI]

CoRR, 2023

Heterogeneous Federated Learning via Personalized Generative Networks.

[BibT_eX]

[DOI]

CoRR, 2023

Explainable Predictive Maintenance.

[BibT_eX]

[DOI]

Moamar Sayed Mouchaweh

Lala H. Rajaoarisoa

Grzegorz J. Nalepa

João Gama

CoRR, 2023

Learning Causal Mechanisms through Orthogonal Neural Networks.

[BibT_eX]

[DOI]

Fernando Alonso-Fernandez

CoRR, 2023

Dynamic Causal Explanation Based Diffusion-Variational Graph Neural Network for Spatio-temporal Forecasting.

[BibT_eX]

[DOI]

CoRR, 2023

Why Industry 5.0 Needs XAI 2.0?

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track, 2023

XAI for Predictive Maintenance.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Zahra Kharazian

Mahmoud Rahat

Fábio F. Gama

Tony Lindgren

Sindri Magnússon

Proceedings of the Advances in Intelligent Data Analysis XXI, 2023

Data-Centric Perspective on Explainability Versus Performance Trade-Off.

[BibT_eX]

[DOI]

Amirhossein Berenji

Proceedings of the Advances in Intelligent Data Analysis XXI, 2023

Toward Solving Domain Adaptation with Limited Source Labeled Data.

[BibT_eX]

[DOI]

Kunru Chen

Proceedings of the IEEE International Conference on Data Mining, 2023

EcoShap: Save Computations by only Calculating Shapley Values for Relevant Features.

[BibT_eX]

[DOI]

Parisa Jamshidi

Mahmoud Rahat

Proceedings of the Artificial Intelligence. ECAI 2023 International Workshops - XAI³, TACTIFUL, XI-ML, SEDAMI, RAAIT, AI4S, HYDRA, AI4AI, Kraków, Poland, September 30, 2023

Towards Explainable Deep Domain Adaptation.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence. ECAI 2023 International Workshops - XAI³, TACTIFUL, XI-ML, SEDAMI, RAAIT, AI4S, HYDRA, AI4AI, Kraków, Poland, September 30, 2023

2022

Attention Horizon as a Predictor for the Fuel Consumption Rate of Drivers.

[BibT_eX]

[DOI]

Sensors, 2022

Semi-Supervised Learning for Forklift Activity Recognition from Controller Area Network (CAN) Signals.

[BibT_eX]

[DOI]

Kunru Chen

Sensors, 2022

Smaller is smarter: A case for small to medium-sized smart cities.

[BibT_eX]

[DOI]

J. Smart Cities Soc., 2022

Wisdom of the contexts: active ensemble learning for contextual anomaly detection.

[BibT_eX]

[DOI]

Onur Dikmen

Data Min. Knowl. Discov., 2022

Why Is Multiclass Classification Hard?

[BibT_eX]

[DOI]

Pablo del Moral

IEEE Access, 2022

An Explainable Knowledge-based AI Framework for Mobility as a Service.

[BibT_eX]

[DOI]

Proceedings of the 34th International Conference on Software Engineering and Knowledge Engineering, 2022

Towards Geometry-Preserving Domain Adaptation for Fault Identification.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2022

A Systematic Approach for Tracking the Evolution of XAI as a Field of Research.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Hamid Sarmadi

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2022

curr2vib: Modality Embedding Translation for Broken-Rotor Bar Detection.

[BibT_eX]

[DOI]

Amirhossein Berenji

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.

[BibT_eX]

[DOI]

Proceedings of the Advances in Intelligent Data Analysis XX, 2022

2021

Parallel orthogonal deep neural network.

[BibT_eX]

[DOI]

Neural Networks, 2021

Interactive Clustering: A Comprehensive Review.

[BibT_eX]

[DOI]

Göran Falkman

ACM Comput. Surv., 2021

KAFE: Knowledge and Frequency Adapted Embeddings.

[BibT_eX]

[DOI]

Awais Ashfaq

Markus Lingman

Proceedings of the Machine Learning, Optimization, and Data Science, 2021

Extracting Invariant Features for Predicting State of Health of Batteries in Hybrid Energy Buses.

[BibT_eX]

[DOI]

Proceedings of the 8th IEEE International Conference on Data Science and Advanced Analytics, 2021

Surrogate-Assisted Genetic Algorithm for Wrapper Feature Selection.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2021

2020

Transfer learning for remaining useful life prediction based on consensus self-organizing models.

[BibT_eX]

[DOI]

Reliab. Eng. Syst. Saf., 2020

Prediction and pattern analysis of medication refill adherence through electronic health records and dispensation data.

[BibT_eX]

[DOI]

J. Biomed. Informatics X, 2020

Early Prediction of Quality Issues in Automotive Modern Industry.

[BibT_eX]

[DOI]

Reza Khoshkangini

Peter Berck

Saeed Gholami Shahbandi

Tobias Niklasson

Inf., 2020

Pitfalls of medication adherence approximation through EHR and pharmacy records: Definitions, data and computation.

[BibT_eX]

[DOI]

Mattias Ohlsson

Markus Lingman

Int. J. Medical Informatics, 2020

No free lunch but a cheaper supper: A general framework for streaming anomaly detection.

[BibT_eX]

[DOI]

Onur Dikmen

Expert Syst. Appl., 2020

Assessing Parkinson's disease severity using speech analysis in non-native speakers.

[BibT_eX]

[DOI]

Comput. Speech Lang., 2020

Corrupted Contextual Bandits with Action Order Constraints.

[BibT_eX]

[DOI]

Mattias Ohlsson

CoRR, 2020

Forklift Truck Activity Recognition from CAN Data.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Amira Soliman

Sarunas Girdzijauskas

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.

[BibT_eX]

[DOI]

Proceedings of the IMMS 2020: 2020 3rd International Conference on Information Management and Management Science, 2020

2019

Readmission prediction using deep learning on electronic health records.

[BibT_eX]

[DOI]

Awais Ashfaq

Markus Lingman

J. Biomed. Informatics, 2019

Machine learning in healthcare - a system's perspective.

[BibT_eX]

[DOI]

Awais Ashfaq

CoRR, 2019

A Data-Driven Approach for Discovery of Heat Load Patterns in District Heating.

[BibT_eX]

[DOI]

Henrik Gadd

Sven Werner

CoRR, 2019

Interactive feature extraction for diagnostic trouble codes in predictive maintenance: A case study from automotive domain.

[BibT_eX]

[DOI]

Proceedings of the Workshop on Interactive Data Mining, 2019

Interactive-COSMO: Consensus Self-Organized Models for Fault Detection with Expert Feedback.

[BibT_eX]

[DOI]

Proceedings of the Workshop on Interactive Data Mining, 2019

Building Trust to AI Systems Through Explainability. Technical and legal perspectives.

[BibT_eX]

[DOI]

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

Eliciting Structures in Data.

[BibT_eX]

[DOI]

Ahmad Al-Shishtawy

Juhee Bae

Amira A. Soliman El Hosary

Göran Falkman

Sarunas Girdzijauskas

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

Warranty Claim Rate Prediction Using Logged Vehicle Data.

[BibT_eX]

[DOI]

Reza Khoshkangini

Proceedings of the Progress in Artificial Intelligence, 2019

Predicting Air Compressor Failures Using Long Short Term Memory Networks.

[BibT_eX]

[DOI]

Proceedings of the Progress in Artificial Intelligence, 2019

Towards Understanding ICU Treatments Using Patient Health Trajectories.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence in Medicine: Knowledge Representation and Transparent and Explainable Systems, 2019

2018

Learning Low-Dimensional Representation of Bivariate Histogram Data.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., 2018

Agreeing to disagree: active learning with noisy labels without crowdsourcing.

[BibT_eX]

[DOI]

KC Santosh

Antanas Verikas

Int. J. Mach. Learn. Cybern., 2018

Mode tracking using multiple data streams.

[BibT_eX]

[DOI]

Inf. Fusion, 2018

Self-monitoring for maintenance of vehicle fleets.

[BibT_eX]

[DOI]

Data Min. Knowl. Discov., 2018

An adaptive algorithm for anomaly and novelty detection in evolving data streams.

[BibT_eX]

[DOI]

Amir Hossein Payberah

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.

[BibT_eX]

[DOI]

Martin Cooney

Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

Monitoring Equipment Operation Through Model and Event Discovery.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2018, 2018

2017

Multi-Task Representation Learning.

[BibT_eX]

[DOI]

Proceedings of the 30th Annual Workshop of the Swedish Artificial Intelligence Society, 2017

2016

Center for Applied Intelligent Systems Research (Position paper).

[BibT_eX]

[DOI]

Antanas Verikas

Josef Bigün

Fernando Alonso-Fernandez

Martin Cooney

Rafael Valencia

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.

[BibT_eX]

[DOI]

Xudong Teng

Proceedings of the IEEE International Conference on Prognostics and Health Management, 2016

Learning of Aggregate Features for Comparing Drivers Based on Naturalistic Data.

[BibT_eX]

[DOI]

Iulian Carpatorea

Marcus Elmer

Johan Lodin

Proceedings of the 15th IEEE International Conference on Machine Learning and Applications, 2016

Supporting Analytical Reasoning - A Study from the Automotive Industry.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Rune Prytz

Stefan Byttner

Eng. Appl. Artif. Intell., 2015

Incorporating Expert Knowledge into a Self-Organized Approach for Predicting Compressor Faults in a City Bus Fleet.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth Scandinavian Conference on Artificial Intelligence, 2015

Evaluation of Self-Organized Approach for Predicting Compressor Faults in a City Bus Fleet.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Rune Prytz

Stefan Byttner

Proceedings of the Twelfth Scandinavian Conference on Artificial Intelligence, 2013

2012

Ideas for Fault Detection Using Relation Discovery.

[BibT_eX]

[DOI]

Rune Prytz

Stefan Byttner

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

PhD thesis, 2008

2007

Inductive Logic Programming Algorithm for Estimating Quality of Partial Plans.

[BibT_eX]

[DOI]

Jacek Malec

Proceedings of the MICAI 2007: Advances in Artificial Intelligence, 2007

Learning to evaluate conditional partial plans.

[BibT_eX]

[DOI]

Jacek Malec

Proceedings of the Sixth International Conference on Machine Learning and Applications, 2007

Knowledge-Based Reconfiguration of Automation Systems.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Automation Science and Engineering, 2007

2006

Learning of Agents with Limited Resources.

[BibT_eX]

[DOI]

Proceedings of the Proceedings, 2006

2005

On Using Rule Induction in Multiple Classifiers with a Combiner Aggregation Strategy.

[BibT_eX]

[DOI]

Jerzy Stefanowski