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233 results on '"Bobek, Szymon"'

1. XAI-FUNGI: Dataset resulting from the user study on comprehensibility of explainable AI algorithms

Author

Bobek, Szymon, Korycińska, Paloma, Krakowska, Monika, Mozolewski, Maciej, Rak, Dorota, Zych, Magdalena, Wójcik, Magdalena, and Nalepa, Grzegorz J.

Subjects
Computer Science - Computers and Society, Computer Science - Artificial Intelligence, Computer Science - Machine Learning
Abstract

This paper introduces a dataset that is the result of a user study on the comprehensibility of explainable artificial intelligence (XAI) algorithms. The study participants were recruited from 149 candidates to form three groups representing experts in the domain of mycology (DE), students with a data science and visualization background (IT) and students from social sciences and humanities (SSH). The main part of the dataset contains 39 transcripts of interviews during which participants were asked to complete a series of tasks and questions related to the interpretation of explanations of decisions of a machine learning model trained to distinguish between edible and inedible mushrooms. The transcripts were complemented with additional data that includes visualizations of explanations presented to the user, results from thematic analysis, recommendations of improvements of explanations provided by the participants, and the initial survey results that allow to determine the domain knowledge of the participant and data analysis literacy. The transcripts were manually tagged to allow for automatic matching between the text and other data related to particular fragments. In the advent of the area of rapid development of XAI techniques, the need for a multidisciplinary qualitative evaluation of explainability is one of the emerging topics in the community. Our dataset allows not only to reproduce the study we conducted, but also to open a wide range of possibilities for the analysis of the material we gathered. more...

Published
2024

2. User-centric evaluation of explainability of AI with and for humans: a comprehensive empirical study

Author

Bobek, Szymon, Korycińska, Paloma, Krakowska, Monika, Mozolewski, Maciej, Rak, Dorota, Zych, Magdalena, Wójcik, Magdalena, and Nalepa, Grzegorz J.

Subjects
Computer Science - Artificial Intelligence, Computer Science - Machine Learning
Abstract

This study is located in the Human-Centered Artificial Intelligence (HCAI) and focuses on the results of a user-centered assessment of commonly used eXplainable Artificial Intelligence (XAI) algorithms, specifically investigating how humans understand and interact with the explanations provided by these algorithms. To achieve this, we employed a multi-disciplinary approach that included state-of-the-art research methods from social sciences to measure the comprehensibility of explanations generated by a state-of-the-art lachine learning model, specifically the Gradient Boosting Classifier (XGBClassifier). We conducted an extensive empirical user study involving interviews with 39 participants from three different groups, each with varying expertise in data science, data visualization, and domain-specific knowledge related to the dataset used for training the machine learning model. Participants were asked a series of questions to assess their understanding of the model's explanations. To ensure replicability, we built the model using a publicly available dataset from the UC Irvine Machine Learning Repository, focusing on edible and non-edible mushrooms. Our findings reveal limitations in existing XAI methods and confirm the need for new design principles and evaluation techniques that address the specific information needs and user perspectives of different classes of AI stakeholders. We believe that the results of our research and the cross-disciplinary methodology we developed can be successfully adapted to various data types and user profiles, thus promoting dialogue and address opportunities in HCAI research. To support this, we are making the data resulting from our study publicly available. more...

Published
2024

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3. Artificial Intelligence Approaches for Predictive Maintenance in the Steel Industry: A Survey

Author

Jakubowski, Jakub, Wojak-Strzelecka, Natalia, Ribeiro, Rita P., Pashami, Sepideh, Bobek, Szymon, Gama, Joao, and Nalepa, Grzegorz J

Subjects
Computer Science - Artificial Intelligence
Abstract

Predictive Maintenance (PdM) emerged as one of the pillars of Industry 4.0, and became crucial for enhancing operational efficiency, allowing to minimize downtime, extend lifespan of equipment, and prevent failures. A wide range of PdM tasks can be performed using Artificial Intelligence (AI) methods, which often use data generated from industrial sensors. The steel industry, which is an important branch of the global economy, is one of the potential beneficiaries of this trend, given its large environmental footprint, the globalized nature of the market, and the demanding working conditions. This survey synthesizes the current state of knowledge in the field of AI-based PdM within the steel industry and is addressed to researchers and practitioners. We identified 219 articles related to this topic and formulated five research questions, allowing us to gain a global perspective on current trends and the main research gaps. We examined equipment and facilities subjected to PdM, determined common PdM approaches, and identified trends in the AI methods used to develop these solutions. We explored the characteristics of the data used in the surveyed articles and assessed the practical implications of the research presented there. Most of the research focuses on the blast furnace or hot rolling, using data from industrial sensors. Current trends show increasing interest in the domain, especially in the use of deep learning. The main challenges include implementing the proposed methods in a production environment, incorporating them into maintenance plans, and enhancing the accessibility and reproducibility of the research., Comment: Preprint submitted to Engineering Applications of Artificial Intelligence more...

Published
2024

4. Local Universal Explainer (LUX) -- a rule-based explainer with factual, counterfactual and visual explanations

Author

Bobek, Szymon and Nalepa, Grzegorz J.

Subjects
Computer Science - Artificial Intelligence, Computer Science - Machine Learning
Abstract

Explainable artificial intelligence (XAI) is one of the most intensively developed area of AI in recent years. It is also one of the most fragmented with multiple methods that focus on different aspects of explanations. This makes difficult to obtain the full spectrum of explanation at once in a compact and consistent way. To address this issue, we present Local Universal Explainer (LUX), which is a rule-based explainer that can generate factual, counterfactual and visual explanations. It is based on a modified version of decision tree algorithms that allows for oblique splits and integration with feature importance XAI methods such as SHAP. It limits the use data generation in opposite to other algorithms, but is focused on selecting local concepts in a form of high-density clusters of real data that have the highest impact on forming the decision boundary of the explained model and generating artificial samples with novel SHAP-guided sampling algorithm. We tested our method on real and synthetic datasets and compared it with state-of-the-art rule-based explainers such as LORE, EXPLAN and Anchor. Our method outperforms the existing approaches in terms of simplicity, fidelity, representativeness, and consistency. more...

Published
2023

5. Explainable Predictive Maintenance

Author

Pashami, Sepideh, Nowaczyk, Slawomir, Fan, Yuantao, Jakubowski, Jakub, Paiva, Nuno, Davari, Narjes, Bobek, Szymon, Jamshidi, Samaneh, Sarmadi, Hamid, Alabdallah, Abdallah, Ribeiro, Rita P., Veloso, Bruno, Sayed-Mouchaweh, Moamar, Rajaoarisoa, Lala, Nalepa, Grzegorz J., and Gama, João more...

Subjects
Computer Science - Artificial Intelligence, I.2.1
Abstract

Explainable Artificial Intelligence (XAI) fills the role of a critical interface fostering interactions between sophisticated intelligent systems and diverse individuals, including data scientists, domain experts, end-users, and more. It aids in deciphering the intricate internal mechanisms of ``black box'' Machine Learning (ML), rendering the reasons behind their decisions more understandable. However, current research in XAI primarily focuses on two aspects; ways to facilitate user trust, or to debug and refine the ML model. The majority of it falls short of recognising the diverse types of explanations needed in broader contexts, as different users and varied application areas necessitate solutions tailored to their specific needs. One such domain is Predictive Maintenance (PdM), an exploding area of research under the Industry 4.0 \& 5.0 umbrella. This position paper highlights the gap between existing XAI methodologies and the specific requirements for explanations within industrial applications, particularly the Predictive Maintenance field. Despite explainability's crucial role, this subject remains a relatively under-explored area, making this paper a pioneering attempt to bring relevant challenges to the research community's attention. We provide an overview of predictive maintenance tasks and accentuate the need and varying purposes for corresponding explanations. We then list and describe XAI techniques commonly employed in the literature, discussing their suitability for PdM tasks. Finally, to make the ideas and claims more concrete, we demonstrate XAI applied in four specific industrial use cases: commercial vehicles, metro trains, steel plants, and wind farms, spotlighting areas requiring further research., Comment: 51 pages, 9 figures more...

Published
2023

6. Visual Patterns in an Interactive App for Analysis Based on Control Charts and SHAP Values

Author

Grabska-Gradzińska, Iwona, Szelążek, Maciej, Bobek, Szymon, Nalepa, Grzegorz J., Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Nowaczyk, Sławomir, editor, Biecek, Przemysław, editor, Chung, Neo Christopher, editor, Vallati, Mauro, editor, Skruch, Paweł, editor, Jaworek-Korjakowska, Joanna, editor, Parkinson, Simon, editor, Nikitas, Alexandros, editor, Atzmüller, Martin, editor, Kliegr, Tomáš, editor, Schmid, Ute, editor, Bobek, Szymon, editor, Lavrac, Nada, editor, Peeters, Marieke, editor, van Dierendonck, Roland, editor, Robben, Saskia, editor, Mercier-Laurent, Eunika, editor, Kayakutlu, Gülgün, editor, Owoc, Mieczyslaw Lech, editor, Mason, Karl, editor, Wahid, Abdul, editor, Bruno, Pierangela, editor, Calimeri, Francesco, editor, Cauteruccio, Francesco, editor, Terracina, Giorgio, editor, Wolter, Diedrich, editor, Leidner, Jochen L., editor, Kohlhase, Michael, editor, and Dimitrova, Vania, editor more...

Published
2024
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7. Improving Understandability of Explanations with a Usage of Expert Knowledge

Author

Szelążek, Maciej, Bobek, Szymon, Nalepa, Grzegorz J., Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Nowaczyk, Sławomir, editor, Biecek, Przemysław, editor, Chung, Neo Christopher, editor, Vallati, Mauro, editor, Skruch, Paweł, editor, Jaworek-Korjakowska, Joanna, editor, Parkinson, Simon, editor, Nikitas, Alexandros, editor, Atzmüller, Martin, editor, Kliegr, Tomáš, editor, Schmid, Ute, editor, Bobek, Szymon, editor, Lavrac, Nada, editor, Peeters, Marieke, editor, van Dierendonck, Roland, editor, Robben, Saskia, editor, Mercier-Laurent, Eunika, editor, Kayakutlu, Gülgün, editor, Owoc, Mieczyslaw Lech, editor, Mason, Karl, editor, Wahid, Abdul, editor, Bruno, Pierangela, editor, Calimeri, Francesco, editor, Cauteruccio, Francesco, editor, Terracina, Giorgio, editor, Wolter, Diedrich, editor, Leidner, Jochen L., editor, Kohlhase, Michael, editor, and Dimitrova, Vania, editor more...

Published
2024
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8. Towards Explainable Deep Domain Adaptation

Author

Bobek, Szymon, Nowaczyk, Sławomir, Pashami, Sepideh, Taghiyarrenani, Zahra, Nalepa, Grzegorz J., Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Nowaczyk, Sławomir, editor, Biecek, Przemysław, editor, Chung, Neo Christopher, editor, Vallati, Mauro, editor, Skruch, Paweł, editor, Jaworek-Korjakowska, Joanna, editor, Parkinson, Simon, editor, Nikitas, Alexandros, editor, Atzmüller, Martin, editor, Kliegr, Tomáš, editor, Schmid, Ute, editor, Bobek, Szymon, editor, Lavrac, Nada, editor, Peeters, Marieke, editor, van Dierendonck, Roland, editor, Robben, Saskia, editor, Mercier-Laurent, Eunika, editor, Kayakutlu, Gülgün, editor, Owoc, Mieczyslaw Lech, editor, Mason, Karl, editor, Wahid, Abdul, editor, Bruno, Pierangela, editor, Calimeri, Francesco, editor, Cauteruccio, Francesco, editor, Terracina, Giorgio, editor, Wolter, Diedrich, editor, Leidner, Jochen L., editor, Kohlhase, Michael, editor, and Dimitrova, Vania, editor more...

Published
2024
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9. Explainable Anomaly Detection in Industrial Streams

Author

Jakubowski, Jakub, Stanisz, Przemysław, Bobek, Szymon, Nalepa, Grzegorz J., Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Nowaczyk, Sławomir, editor, Biecek, Przemysław, editor, Chung, Neo Christopher, editor, Vallati, Mauro, editor, Skruch, Paweł, editor, Jaworek-Korjakowska, Joanna, editor, Parkinson, Simon, editor, Nikitas, Alexandros, editor, Atzmüller, Martin, editor, Kliegr, Tomáš, editor, Schmid, Ute, editor, Bobek, Szymon, editor, Lavrac, Nada, editor, Peeters, Marieke, editor, van Dierendonck, Roland, editor, Robben, Saskia, editor, Mercier-Laurent, Eunika, editor, Kayakutlu, Gülgün, editor, Owoc, Mieczyslaw Lech, editor, Mason, Karl, editor, Wahid, Abdul, editor, Bruno, Pierangela, editor, Calimeri, Francesco, editor, Cauteruccio, Francesco, editor, Terracina, Giorgio, editor, Wolter, Diedrich, editor, Leidner, Jochen L., editor, Kohlhase, Michael, editor, and Dimitrova, Vania, editor more...

Published
2024
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11. Assessment of Explainable Anomaly Detection for Monitoring of Cold Rolling Process

Author

Jakubowski, Jakub, Stanisz, Przemysław, Bobek, Szymon, Nalepa, Grzegorz J., Hartmanis, Juris, Founding Editor, van Leeuwen, Jan, Series Editor, Hutchison, David, Editorial Board Member, Kanade, Takeo, Editorial Board Member, Kittler, Josef, Editorial Board Member, Kleinberg, Jon M., Editorial Board Member, Kobsa, Alfred, Series Editor, Mattern, Friedemann, Editorial Board Member, Mitchell, John C., Editorial Board Member, Naor, Moni, Editorial Board Member, Nierstrasz, Oscar, Series Editor, Pandu Rangan, C., Editorial Board Member, Sudan, Madhu, Series Editor, Terzopoulos, Demetri, Editorial Board Member, Tygar, Doug, Editorial Board Member, Weikum, Gerhard, Series Editor, Vardi, Moshe Y, Series Editor, Goos, Gerhard, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Franco, Leonardo, editor, de Mulatier, Clélia, editor, Paszynski, Maciej, editor, Krzhizhanovskaya, Valeria V., editor, Dongarra, Jack J., editor, and Sloot, Peter M. A., editor more...

Published
2024
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12. Visual Explanations and Perturbation-Based Fidelity Metrics for Feature-Based Models

Author

Mozolewski, Maciej, Bobek, Szymon, Nalepa, Grzegorz J., Hartmanis, Juris, Founding Editor, van Leeuwen, Jan, Series Editor, Hutchison, David, Editorial Board Member, Kanade, Takeo, Editorial Board Member, Kittler, Josef, Editorial Board Member, Kleinberg, Jon M., Editorial Board Member, Kobsa, Alfred, Series Editor, Mattern, Friedemann, Editorial Board Member, Mitchell, John C., Editorial Board Member, Naor, Moni, Editorial Board Member, Nierstrasz, Oscar, Series Editor, Pandu Rangan, C., Editorial Board Member, Sudan, Madhu, Series Editor, Terzopoulos, Demetri, Editorial Board Member, Tygar, Doug, Editorial Board Member, Weikum, Gerhard, Series Editor, Vardi, Moshe Y, Series Editor, Goos, Gerhard, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Franco, Leonardo, editor, de Mulatier, Clélia, editor, Paszynski, Maciej, editor, Krzhizhanovskaya, Valeria V., editor, Dongarra, Jack J., editor, and Sloot, Peter M. A., editor more...

Published
2024
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13. Understanding Survival Models Through Counterfactual Explanations

Author

Alabdallah, Abdallah, Jakubowski, Jakub, Pashami, Sepideh, Bobek, Szymon, Ohlsson, Mattias, Rögnvaldsson, Thorsteinn, Nalepa, Grzegorz J., Hartmanis, Juris, Founding Editor, van Leeuwen, Jan, Series Editor, Hutchison, David, Editorial Board Member, Kanade, Takeo, Editorial Board Member, Kittler, Josef, Editorial Board Member, Kleinberg, Jon M., Editorial Board Member, Kobsa, Alfred, Series Editor, Mattern, Friedemann, Editorial Board Member, Mitchell, John C., Editorial Board Member, Naor, Moni, Editorial Board Member, Nierstrasz, Oscar, Series Editor, Pandu Rangan, C., Editorial Board Member, Sudan, Madhu, Series Editor, Terzopoulos, Demetri, Editorial Board Member, Tygar, Doug, Editorial Board Member, Weikum, Gerhard, Series Editor, Vardi, Moshe Y, Series Editor, Goos, Gerhard, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Franco, Leonardo, editor, de Mulatier, Clélia, editor, Paszynski, Maciej, editor, Krzhizhanovskaya, Valeria V., editor, Dongarra, Jack J., editor, and Sloot, Peter M. A., editor more...

Published
2024
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14. KnAC: an approach for enhancing cluster analysis with background knowledge and explanations

Author

Bobek, Szymon, Kuk, Michał, Brzegowski, Jakub, Brzychczy, Edyta, and Nalepa, Grzegorz J.

Subjects
Computer Science - Artificial Intelligence, Computer Science - Machine Learning
Abstract

Pattern discovery in multidimensional data sets has been the subject of research for decades. There exists a wide spectrum of clustering algorithms that can be used for this purpose. However, their practical applications share a common post-clustering phase, which concerns expert-based interpretation and analysis of the obtained results. We argue that this can be the bottleneck in the process, especially in cases where domain knowledge exists prior to clustering. Such a situation requires not only a proper analysis of automatically discovered clusters but also conformance checking with existing knowledge. In this work, we present Knowledge Augmented Clustering (KnAC). Its main goal is to confront expert-based labelling with automated clustering for the sake of updating and refining the former. Our solution is not restricted to any existing clustering algorithm. Instead, KnAC can serve as an augmentation of an arbitrary clustering algorithm, making the approach robust and a model-agnostic improvement of any state-of-the-art clustering method. We demonstrate the feasibility of our method on artificially, reproducible examples and in a real life use case scenario. In both cases, we achieved better results than classic clustering algorithms without augmentation., Comment: Accepted to Applied Intelligence more...

Published
2021
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17. The BIRAFFE2 Experiment. Study in Bio-Reactions and Faces for Emotion-based Personalization for AI Systems

Author

Kutt, Krzysztof, Drążyk, Dominika, Szelążek, Maciej, Bobek, Szymon, and Nalepa, Grzegorz J.

Subjects
Computer Science - Human-Computer Interaction, Computer Science - Artificial Intelligence, Computer Science - Machine Learning
Abstract

The paper describes BIRAFFE2 data set, which is a result of an affective computing experiment conducted between 2019 and 2020, that aimed to develop computer models for classification and recognition of emotion. Such work is important to develop new methods of natural Human-AI interaction. As we believe that models of emotion should be personalized by design, we present an unified paradigm allowing to capture emotional responses of different persons, taking individual personality differences into account. We combine classical psychological paradigms of emotional response collection with the newer approach, based on the observation of the computer game player. By capturing ones psycho-physiological reactions (ECG, EDA signal recording), mimic expressions (facial emotion recognition), subjective valence-arousal balance ratings (widget ratings) and gameplay progression (accelerometer and screencast recording), we provide a framework that can be easily used and developed for the purpose of the machine learning methods., Comment: Presented during the Human-AI Interaction Workshop at ECAI 2020; Acknowledgements added more...

Published
2020

18. ML-Based Proactive Control of Industrial Processes

Author

Kuk, Edyta, Bobek, Szymon, Nalepa, Grzegorz J., Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Mikyška, Jiří, editor, de Mulatier, Clélia, editor, Paszynski, Maciej, editor, Krzhizhanovskaya, Valeria V., editor, Dongarra, Jack J., editor, and Sloot, Peter M.A., editor more...

Published
2023
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19. Towards Online Anomaly Detection in Steel Manufacturing Process

Author

Jakubowski, Jakub, Stanisz, Przemysław, Bobek, Szymon, Nalepa, Grzegorz J., Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Mikyška, Jiří, editor, de Mulatier, Clélia, editor, Paszynski, Maciej, editor, Krzhizhanovskaya, Valeria V., editor, Dongarra, Jack J., editor, and Sloot, Peter M.A., editor more...

Published
2023
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20. Feature Importances as a Tool for Root Cause Analysis in Time-Series Events

Author

Kuk, Michał, Bobek, Szymon, Veloso, Bruno, Rajaoarisoa, Lala, Nalepa, Grzegorz J., Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Mikyška, Jiří, editor, de Mulatier, Clélia, editor, Paszynski, Maciej, editor, Krzhizhanovskaya, Valeria V., editor, Dongarra, Jack J., editor, and Sloot, Peter M.A., editor more...

Published
2023
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21. Performance of Explainable AI Methods in Asset Failure Prediction

Author

Jakubowski, Jakub, Stanisz, Przemysław, Bobek, Szymon, Nalepa, Grzegorz J., Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Groen, Derek, editor, de Mulatier, Clélia, editor, Paszynski, Maciej, editor, Krzhizhanovskaya, Valeria V., editor, Dongarra, Jack J., editor, and Sloot, Peter M. A., editor more...

Published
2022
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22. Comparing Explanations from Glass-Box and Black-Box Machine-Learning Models

Author

Kuk, Michał, Bobek, Szymon, Nalepa, Grzegorz J., Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Groen, Derek, editor, de Mulatier, Clélia, editor, Paszynski, Maciej, editor, Krzhizhanovskaya, Valeria V., editor, Dongarra, Jack J., editor, and Sloot, Peter M. A., editor more...

Published
2022
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23. Introducing Uncertainty into Explainable AI Methods

Author

Bobek, Szymon, Nalepa, Grzegorz J., Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Paszynski, Maciej, editor, Kranzlmüller, Dieter, editor, Krzhizhanovskaya, Valeria V., editor, Dongarra, Jack J., editor, and Sloot, Peter M. A., editor more...

Published
2021
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24. Explanation-Driven Model Stacking

Author

Bobek, Szymon, Mozolewski, Maciej, Nalepa, Grzegorz J., Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Paszynski, Maciej, editor, Kranzlmüller, Dieter, editor, Krzhizhanovskaya, Valeria V., editor, Dongarra, Jack J., editor, and Sloot, Peter M. A., editor more...

Published
2021
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25. Augmenting Automatic Clustering with Expert Knowledge and Explanations

Author

Bobek, Szymon, Nalepa, Grzegorz J., Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Paszynski, Maciej, editor, Kranzlmüller, Dieter, editor, Krzhizhanovskaya, Valeria V., editor, Dongarra, Jack J., editor, and Sloot, Peter M.A., editor more...

Published
2021
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26. Towards Model-Agnostic Ensemble Explanations

Author

Bobek, Szymon, Bałaga, Paweł, Nalepa, Grzegorz J., Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Paszynski, Maciej, editor, Kranzlmüller, Dieter, editor, Krzhizhanovskaya, Valeria V., editor, Dongarra, Jack J., editor, and Sloot, Peter M.A., editor more...

Published
2021
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30. Towards the Modeling of the Hot Rolling Industrial Process. Preliminary Results

Author

Szelążek, Maciej, Bobek, Szymon, Gonzalez-Pardo, Antonio, Nalepa, Grzegorz J., Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Analide, Cesar, editor, Novais, Paulo, editor, Camacho, David, editor, and Yin, Hujun, editor more...

Published
2020
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31. Explaining Machine Learning Models of Emotion Using the BIRAFFE Dataset

Author

Bobek, Szymon, Tragarz, Magdalena M., Szelążek, Maciej, Nalepa, Grzegorz J., Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Rutkowski, Leszek, editor, Scherer, Rafał, editor, Korytkowski, Marcin, editor, Pedrycz, Witold, editor, Tadeusiewicz, Ryszard, editor, and Zurada, Jacek M., editor more...

Published
2020
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32. Affective Context-Aware Systems: Architecture of a Dynamic Framework

Author

Łępicki, Mateusz Z., Bobek, Szymon, Hutchison, David, Editorial Board Member, Kanade, Takeo, Editorial Board Member, Kittler, Josef, Editorial Board Member, Kleinberg, Jon M., Editorial Board Member, Mattern, Friedemann, Editorial Board Member, Mitchell, John C., Editorial Board Member, Naor, Moni, Editorial Board Member, Pandu Rangan, C., Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Terzopoulos, Demetri, Editorial Board Member, Tygar, Doug, Editorial Board Member, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Rutkowski, Leszek, editor, Scherer, Rafał, editor, Korytkowski, Marcin, editor, Pedrycz, Witold, editor, Tadeusiewicz, Ryszard, editor, and Zurada, Jacek M., editor more...

Published
2019
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38. Uncertain Decision Tree Classifier for Mobile Context-Aware Computing

Author

Bobek, Szymon, Misiak, Piotr, Hutchison, David, Series Editor, Kanade, Takeo, Series Editor, Kittler, Josef, Series Editor, Kleinberg, Jon M., Series Editor, Mattern, Friedemann, Series Editor, Mitchell, John C., Series Editor, Naor, Moni, Series Editor, Pandu Rangan, C., Series Editor, Steffen, Bernhard, Series Editor, Terzopoulos, Demetri, Series Editor, Tygar, Doug, Series Editor, Rutkowski, Leszek, editor, Scherer, Rafał, editor, Korytkowski, Marcin, editor, Pedrycz, Witold, editor, Tadeusiewicz, Ryszard, editor, and Zurada, Jacek M., editor more...

Published
2018
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39. Towards the Development of Sensor Platform for Processing Physiological Data from Wearable Sensors

Author

Kutt, Krzysztof, Binek, Wojciech, Misiak, Piotr, Nalepa, Grzegorz J., Bobek, Szymon, Hutchison, David, Series Editor, Kanade, Takeo, Series Editor, Kittler, Josef, Series Editor, Kleinberg, Jon M., Series Editor, Mattern, Friedemann, Series Editor, Mitchell, John C., Series Editor, Naor, Moni, Series Editor, Pandu Rangan, C., Series Editor, Steffen, Bernhard, Series Editor, Terzopoulos, Demetri, Series Editor, Tygar, Doug, Series Editor, Rutkowski, Leszek, editor, Scherer, Rafał, editor, Korytkowski, Marcin, editor, Pedrycz, Witold, editor, Tadeusiewicz, Ryszard, editor, and Zurada, Jacek M., editor more...

Published
2018
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40. On the Opportunities for Using Mobile Devices for Activity Monitoring and Understanding in Mining Applications

Author

Nalepa, Grzegorz J., Brzychczy, Edyta, Bobek, Szymon, Hutchison, David, Series Editor, Kanade, Takeo, Series Editor, Kittler, Josef, Series Editor, Kleinberg, Jon M., Series Editor, Mattern, Friedemann, Series Editor, Mitchell, John C., Series Editor, Naor, Moni, Series Editor, Pandu Rangan, C., Series Editor, Steffen, Bernhard, Series Editor, Terzopoulos, Demetri, Series Editor, Tygar, Doug, Series Editor, Weikum, Gerhard, Series Editor, Yin, Hujun, editor, Camacho, David, editor, Novais, Paulo, editor, and Tallón-Ballesteros, Antonio J., editor more...

Published
2018
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41. Causal Rules Detection in Streams of Unlabeled, Mixed Type Values with Finit Domains

Author

Bobek, Szymon, Jurek, Kamil, Hutchison, David, Series Editor, Kanade, Takeo, Series Editor, Kittler, Josef, Series Editor, Kleinberg, Jon M., Series Editor, Mattern, Friedemann, Series Editor, Mitchell, John C., Series Editor, Naor, Moni, Series Editor, Pandu Rangan, C., Series Editor, Steffen, Bernhard, Series Editor, Terzopoulos, Demetri, Series Editor, Tygar, Doug, Series Editor, Weikum, Gerhard, Series Editor, Yin, Hujun, editor, Camacho, David, editor, Novais, Paulo, editor, and Tallón-Ballesteros, Antonio J., editor more...

Published
2018
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42. Semantic Annotations for Mediation of Complex Rule Systems

Author

Ślażyński, Mateusz, Nalepa, Grzegorz J., Bobek, Szymon, Kutt, Krzysztof, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Rutkowski, Leszek, editor, Korytkowski, Marcin, editor, Scherer, Rafał, editor, Tadeusiewicz, Ryszard, editor, Zadeh, Lotfi A., editor, and Zurada, Jacek M., editor more...

Published
2017
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43. Web-Based Editor for Structured Rule Bases

Author

Bobek, Szymon, Nalepa, Grzegorz J., Babiarz, Przemysław, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Rutkowski, Leszek, editor, Korytkowski, Marcin, editor, Scherer, Rafał, editor, Tadeusiewicz, Ryszard, editor, Zadeh, Lotfi A., editor, and Zurada, Jacek M., editor more...

Published
2017
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44. Framework for Benchmarking Rule-Based Inference Engines

Author

Bobek, Szymon, Misiak, Piotr, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Rutkowski, Leszek, editor, Korytkowski, Marcin, editor, Scherer, Rafał, editor, Tadeusiewicz, Ryszard, editor, Zadeh, Lotfi A., editor, and Zurada, Jacek M., editor more...

Published
2017
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49. Understanding Context with ContextViewer – Tool for Visualization and Initial Preprocessing of Mobile Sensors Data

Author

Bobek, Szymon, Dziadzio, Sebastian, Jaciów, Paweł, Ślażyński, Mateusz, Nalepa, Grzegorz J., Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Christiansen, Henning, editor, Stojanovic, Isidora, editor, and Papadopoulos, George A., editor more...

Published
2015
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50. Compact Representation of Conditional Probability for Rule-Based Mobile Context-Aware Systems

Author

Bobek, Szymon, Nalepa, Grzegorz J., Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Bassiliades, Nick, editor, Gottlob, Georg, editor, Sadri, Fariba, editor, Paschke, Adrian, editor, and Roman, Dumitru, editor more...

Published
2015
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