Szymon Bobek

Orcid: 0000-0002-6350-8405

According to our database1, Szymon Bobek authored at least 86 papers between 2011 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Semantic data mining-based decision support for quality assessment in steel industry.
Expert Syst. J. Knowl. Eng., February, 2024

Explainable proactive control of industrial processes.
J. Comput. Sci., 2024

Hybrid and co-learning approach for anomalies prediction and explanation of wind turbine systems.
Eng. Appl. Artif. Intell., 2024

Artificial Intelligence Approaches for Predictive Maintenance in the Steel Industry: A Survey.
CoRR, 2024

Towards Evaluation of Explainable Artificial Intelligence in Streaming Data.
Proceedings of the Explainable Artificial Intelligence, 2024

Visual Explanations and Perturbation-Based Fidelity Metrics for Feature-Based Models.
Proceedings of the Computational Science - ICCS 2024, 2024

Assessment of Explainable Anomaly Detection for Monitoring of Cold Rolling Process.
Proceedings of the Computational Science - ICCS 2024, 2024

Understanding Survival Models Through Counterfactual Explanations.
Proceedings of the Computational Science - ICCS 2024, 2024

Towards Differentiating Between Failures and Domain Shifts in Industrial Data Streams.
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

2023
KnAC: an approach for enhancing cluster analysis with background knowledge and explanations.
Appl. Intell., June, 2023

Local Universal Rule-based Explanations.
CoRR, 2023

Explainable Predictive Maintenance.
CoRR, 2023

Why Industry 5.0 Needs XAI 2.0?
Proceedings of the Joint Proceedings of the xAI-2023 Late-breaking Work, 2023

Feature Importances as a Tool for Root Cause Analysis in Time-Series Events.
Proceedings of the Computational Science - ICCS 2023, 2023

ML-Based Proactive Control of Industrial Processes.
Proceedings of the Computational Science - ICCS 2023, 2023

Towards Online Anomaly Detection in Steel Manufacturing Process.
Proceedings of the Computational Science - ICCS 2023, 2023

Improving Understandability of Explanations with a Usage of Expert Knowledge.
Proceedings of the Artificial Intelligence. ECAI 2023 International Workshops - XAI³, TACTIFUL, XI-ML, SEDAMI, RAAIT, AI4S, HYDRA, AI4AI, Kraków, Poland, September 30, 2023

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

Visual Patterns in an Interactive App for Analysis Based on Control Charts and SHAP Values.
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.
Proceedings of the Artificial Intelligence. ECAI 2023 International Workshops - XAI³, TACTIFUL, XI-ML, SEDAMI, RAAIT, AI4S, HYDRA, AI4AI, Kraków, Poland, September 30, 2023

Enhanced Explanations for Knowledge-Augmented Clustering using Subgroup Discovery.
Proceedings of the 10th IEEE International Conference on Data Science and Advanced Analytics, 2023

Poster: Application of knowledge transfer to ML-based Quality Decision Support practice in the steel manufacturing process.
Proceedings of the 15th Biannual Conference of the Italian SIGCHI Chapter, 2023

Poster: Human-in-the-Loop Anomaly Detection in Industrial Data Streams.
Proceedings of the 15th Biannual Conference of the Italian SIGCHI Chapter, 2023

2022
Anomaly Detection in Asset Degradation Process Using Variational Autoencoder and Explanations.
Sensors, 2022

Enhancing Cluster Analysis With Explainable AI and Multidimensional Cluster Prototypes.
IEEE Access, 2022

Explain Your Clusters with Words. The Role of Metadata in Interactive Clustering.
Proceedings of the Workshop on Semantic Techniques for Narrative-Based Understanding co-located with 31st International Joint Conference on Artificial Intelligence and the 25th European Conference on Artificial Intelligence (IJCAI-ECAI 2022), 2022

Comparing Explanations from Glass-Box and Black-Box Machine-Learning Models.
Proceedings of the Computational Science - ICCS 2022, 2022

Performance of Explainable AI Methods in Asset Failure Prediction.
Proceedings of the Computational Science - ICCS 2022, 2022

Roll Wear Prediction in Strip Cold Rolling with Physics-Informed Autoencoder and Counterfactual Explanations.
Proceedings of the 9th IEEE International Conference on Data Science and Advanced Analytics, 2022

2021
BIRAFFE2: The 2nd Study in Bio-Reactions and Faces for Emotion-based Personalization for AI Systems.
Dataset, December, 2021

Semantic Data Mining in Ubiquitous Sensing: A Survey.
Sensors, 2021

Personality-Based Affective Adaptation Methods for Intelligent Systems.
Sensors, 2021

People in the Context - an Analysis of Game-based Experimental Protocol.
Proceedings of the Twelfth International Workshop Modelling and Reasoning in Context (MRC 2021) co-located with the 30th International Joint Conference on Artificial Intelligence (IJCAI 2021), 2021

Introducing Uncertainty into Explainable AI Methods.
Proceedings of the Computational Science - ICCS 2021, 2021

Augmenting Automatic Clustering with Expert Knowledge and Explanations.
Proceedings of the Computational Science - ICCS 2021, 2021

Explanation-Driven Model Stacking.
Proceedings of the Computational Science - ICCS 2021, 2021

Towards Model-Agnostic Ensemble Explanations.
Proceedings of the Computational Science - ICCS 2021, 2021

Explainable clustering with multidimensional bounding boxes.
Proceedings of the 8th IEEE International Conference on Data Science and Advanced Analytics, 2021

Explainable anomaly detection for Hot-rolling industrial process.
Proceedings of the 8th IEEE International Conference on Data Science and Advanced Analytics, 2021

2020
BIRAFFE2: The 2nd Study in Bio-Reactions and Faces for Emotion-based Personalization for AI Systems.
Dataset, June, 2020

BIRAFFE: Bio-Reactions and Faces for Emotion-based Personalization.
Dataset, June, 2020

The BIRAFFE2 Experiment. Study in Bio-Reactions and Faces for Emotion-based Personalization for AI Systems.
CoRR, 2020

Towards the Modeling of the Hot Rolling Industrial Process. Preliminary Results.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2020, 2020

Explaining Machine Learning Models of Emotion Using the BIRAFFE Dataset.
Proceedings of the Artificial Intelligence and Soft Computing, 2020

Affective Games Provide Controlable Context. Proposal of an Experimental Framework.
Proceedings of the Eleventh International Workshop Modelling and Reasoning in Context co-located with the 24th European Conference on Artificial Intelligence, 2020

Cluster Discovery from Sensor Data Incorporating Expert Knowledge.
Proceedings of the International Workshop on Knowledge Representation and Representation Learning co-located with the 24th European Conference on Artificial Intelligence (ECAI 2020), 2020

2019
BIRAFFE: Bio-Reactions and Faces for Emotion-based Personalization.
Dataset, September, 2019

Analysis and Use of the Emotional Context with Wearable Devices for Games and Intelligent Assistants.
Sensors, 2019

Mobile platform for affective context-aware systems.
Future Gener. Comput. Syst., 2019

HEARTDROID - Rule engine for mobile and context-aware expert systems.
Expert Syst. J. Knowl. Eng., 2019

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

Affective Context-Aware Systems: Architecture of a Dynamic Framework.
Proceedings of the Artificial Intelligence and Soft Computing, 2019

BIRAFFE: Bio-Reactions and Faces for Emotion-based Personalization.
Proceedings of the 3rd Workshop on Affective Computing and Context Awareness in Ambient Intelligence (AfCAI 2019), 2019

2018
On the Opportunities for Using Mobile Devices for Activity Monitoring and Understanding in Mining Applications.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2018, 2018

Causal Rules Detection in Streams of Unlabeled, Mixed Type Values with Finit Domains.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2018, 2018

Towards the Development of Sensor Platform for Processing Physiological Data from Wearable Sensors.
Proceedings of the Artificial Intelligence and Soft Computing, 2018

Uncertain Decision Tree Classifier for Mobile Context-Aware Computing.
Proceedings of the Artificial Intelligence and Soft Computing, 2018

Development of Mobile Platform for Affect Interpretation. Current Progress.
Proceedings of the Workshop on Affective Computing and Context Awareness in Ambient Intelligence (AfCAI 2018), 2018

2017
Uncertainty handling in rule-based mobile context-aware systems.
Pervasive Mob. Comput., 2017

Uncertain context data management in dynamic mobile environments.
Future Gener. Comput. Syst., 2017

Semantic Annotations for Mediation of Complex Rule Systems.
Proceedings of the Artificial Intelligence and Soft Computing, 2017

Web-Based Editor for Structured Rule Bases.
Proceedings of the Artificial Intelligence and Soft Computing, 2017

Framework for Benchmarking Rule-Based Inference Engines.
Proceedings of the Artificial Intelligence and Soft Computing, 2017

2016
Mobile context-based framework for threat monitoring in urban environment with social threat monitor.
Multim. Tools Appl., 2016

AfCAI systems: Affective Computing with Context Awareness for Ambient Intelligence. Research proposal.
Proceedings of the Workshop on Affective Computing and Context Awareness in Ambient Intelligence (AfCAI 2016), 2016

Affective Computing Experiments in Virtual Reality with Wearable Sensors. Methodological considerations and preliminary results.
Proceedings of the Workshop on Affective Computing and Context Awareness in Ambient Intelligence (AfCAI 2016), 2016

2015
Compact Representation of Conditional Probability for Rule-Based Mobile Context-Aware Systems.
Proceedings of the Rule Technologies: Foundations, Tools, and Applications, 2015

Concept of a Rule-based Configurator for Auto-WEKA Using OpenML.
Proceedings of the 2015 International Workshop on Meta-Learning and Algorithm Selection co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases 2015 (ECMLPKDD 2015), 2015

Capturing Dynamics of Mobile Context-Aware Systems with Rules and Statistical Analysis of Historical Data.
Proceedings of the Artificial Intelligence and Soft Computing, 2015

Automated Discovery of Mobile Users Locations with Improved K-means Clustering.
Proceedings of the Artificial Intelligence and Soft Computing, 2015

Improving indoor localization by user feedback.
Proceedings of the 18th International Conference on Information Fusion, 2015

Indoor microlocation with BLE beacons and incremental rule learning.
Proceedings of the 2nd IEEE International Conference on Cybernetics, 2015

Understanding Context with ContextViewer - Tool for Visualization and Initial Preprocessing of Mobile Sensors Data.
Proceedings of the Modeling and Using Context, 2015

2014
Rule-based solution for context-aware reasoning on mobile devices.
Comput. Sci. Inf. Syst., 2014

Incomplete and Uncertain Data Handling in Context-Aware Rule-Based Systems with Modified Certainty Factors Algebra.
Proceedings of the Rules on the Web. From Theory to Applications, 2014

Challenges for Migration of Rule-Based Reasoning Engine to a Mobile Platform.
Proceedings of the Multimedia Communications, Services and Security, 2014

Migration of Rule Inference Engine to Mobile Platform. Challenges and Case Study.
Proceedings of 10th Workshop on Knowledge Engineering and Software Engineering (KESE10) co-located with 21st European Conference on Artificial Intelligence (ECAI 2014), 2014

Integration of Activity Modeller with Bayesian Network Based Recommender for Business Processes.
Proceedings of 10th Workshop on Knowledge Engineering and Software Engineering (KESE10) co-located with 21st European Conference on Artificial Intelligence (ECAI 2014), 2014

2013
Mobile Context-Based Framework for Monitoring Threats in Urban Environment.
Proceedings of the Multimedia Communications, Services and Security, 2013

Overview of Recommendation Techniques in Business Process Modeling.
Proceedings of 9th Workshop on Knowledge Engineering and Software Engineering (KESE9) co-located with the 36th German Conference on Artificial Intelligence (KI2013), 2013

Learning sensors usage patterns in mobile context-aware systems.
Proceedings of the 2013 Federated Conference on Computer Science and Information Systems, 2013

Application of Bayesian Networks to Recommendations in Business Process Modeling.
Proceedings of the Workshop AI Meets Business Processes 2013 co-located with the 13th Conference of the Italian Association for Artificial Intelligence (AI*IA 2013), 2013

2012
Combining AceWiki with a CAPTCHA System for Collaborative Knowledge Acquisition.
Proceedings of the IEEE 24th International Conference on Tools with Artificial Intelligence, 2012

2011
HalVA - Rule Analysis Framework for XTT2 Rules.
Proceedings of the Rule-Based Reasoning, Programming, and Applications, 2011

Algorithms for Rule Inference in Modularized Rule Bases.
Proceedings of the Rule-Based Reasoning, Programming, and Applications, 2011

How to Reason by HeaRT in a Semantic Knowledge-Based Wiki.
Proceedings of the IEEE 23rd International Conference on Tools with Artificial Intelligence, 2011


  Loading...