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GEIST members publications in bibliometric systems

Browse GEIST publications by year

You can browse GEIST members' publication from last years below:

2026

  1. N. Wojak-Strzelecka et al., “Explainable Visual Anomaly Detection with Multimodal Models and Metadata-Augmented Prompts,” in Machine Learning and Principles and Practice of Knowledge Discovery in Databases. ECML PKDD 2025, Cham: Springer, 2026, pp. 156–165. doi: 10.1007/978-3-032-19105-2_12.
  2. L. do Valle Miranda, M. Mozolewski, K. Kutt, and G. J. Nalepa, “A Wikidata-Based Workflow for Entity Reconciliation Strategies Evaluation: A Study on Early Modern Polish Personal Names,” in The Semantic Web. ESWC 2026, Cham: Springer, 2026, pp. 378–397. doi: 10.1007/978-3-032-25159-6_20.
  3. K. Kutt et al., “Knowledge Graphs for Digital Humanities and Linguistics,” in The Routledge Handbook of Transdisciplinary Systemic Functional Linguistics, New York: Routledge, 2026, pp. 374–390. doi: 10.4324/9781003291138-26.
  4. S. Manai, S. Bobek, G. J. Nalepa, L. do Valle Miranda, K. Kutt, and J. J. Jung, “Toward Explainable Industrial AI: The Role of Knowledge Graphs,” in Intelligent Data Engineering and Automated Learning – IDEAL 2025, Proceedings, Part I, L. Martínez, D. Camacho, H. Yin, B. Dutta, R. Yera, R. M. Rodríguez Domínguez, and A. Tallón-Ballesteros, Eds., Cham: Springer, 2026, pp. 439–444. doi: 10.1007/978-3-032-10486-1_40.
  5. K. Kutt, L. do Valle Miranda, J. Gomułka, and G. J. Nalepa, “Cloud-based digitization workflow with rich metadata acquisition for cultural heritage objects,” The Journal of Academic Librarianship, vol. 52, no. 2, p. 103212, doi: 10.1016/j.acalib.2026.103212.

2025

  1. J. Gomułka, L. do Valle Miranda, S. P. Kukulak, K. Kutt, and G. J. Nalepa, “Development of the Lem Knowledge Graph: Implementation of LRMoo Ontology,” in Proceedings of the Joint Ontology Workshops (JOWO) - Episode XI: The Sicilian Summer under the Etna, co-located with FOIS 2025, J. Beverley, C. M. Keet, N. Lamba, P. Lambrix, S. Tiwari, S. de Giorgis, G. Righetti, G. Sacco, F. Longo, et al., Eds., in CEUR Workshop Proceedings. CEUR-WS.org, 2025. [Online]. Available: https://ceur-ws.org/Vol-4176/swodch-9.pdf
  2. S. P. Kukulak, L. do Valle Miranda, J. Gomułka, K. Kutt, and G. J. Nalepa, “Using Omeka S in Cataloguing Stanisław Lem’s Letters,” in Proceedings of the Joint Ontology Workshops (JOWO) - Episode XI: The Sicilian Summer under the Etna, co-located with FOIS 2025, J. Beverley, C. M. Keet, N. Lamba, P. Lambrix, S. Tiwari, S. de Giorgis, G. Righetti, G. Sacco, F. Longo, et al., Eds., in CEUR Workshop Proceedings. CEUR-WS.org, 2025. [Online]. Available: swodch-1.pdf
  3. L. do Valle Miranda, J. Gomułka, S. P. Kukulak, K. Kutt, and G. J. Nalepa, “LRMoo as the Conceptual Model for the Lem Knowledge Graph,” in Proceedings of the Second International Workshop of Semantic Digital Humanities (SemDH 2025) co-located with ESWC 2025, CEUR-WS.org, 2025. [Online]. Available: https://ceur-ws.org/Vol-4009/paper_13.pdf
  4. L. do Valle Miranda, K. Kutt, and G. J. Nalepa, “CIDOC-CRM and the First Prototype of a Semantic Portal for the CHExRISH Project,” in Proceedings of the Second International Workshop of Semantic Digital Humanities (SemDH 2025) co-located with ESWC 2025, CEUR-WS.org, 2025. [Online]. Available: https://ceur-ws.org/Vol-4009/paper_14.pdf
  5. J. Ignatowicz, K. Kutt, and G. J. Nalepa, “Position Paper: Metadata Enrichment Model: Integrating Neural Networks and Semantic Knowledge Graphs for Cultural Heritage Applications,” in 2025 International Joint Conference on Neural Networks (IJCNN), IEEE, 2025, pp. 1–8. doi: 10.1109/IJCNN64981.2025.11228881.
  6. M. Mozolewski, H. Zych, S. Manai, K. Kutt, and G. J. Nalepa, “Explainable Next-Purchase Recommendations: A Multistakeholder Framework,” in Proceedings of the 2025 Workshop on AI for Understanding Human Behavior in Professional Settings (BEHAIV 2025) co-located with 28th European Conference on Artificial Intelligence (ECAI 2025), M. Spiliopoulou, S. Nowaczyk, M. Ragni, and J. Stefanowski, Eds., CEUR-WS.org, 2025. [Online]. Available: BEHAIV2025_CRV_1.pdf

2024

  1. L. do Valle Miranda, J. Gomułka, K. Kutt, and G. J. Nalepa, “TAO: a document-and person-centric ontology for storing rich metadata of manuscripts,” in Proceedings of the Joint Ontology Workshops (JOWO) - Episode X: The Tukker Zomer of Ontology, and satellite events co-located with the 14th International Conference on Formal Ontology in Information Systems (FOIS 2024), CEUR-WS.org, 2024, [Online]. Available: yoda-5.pdf
  2. J. Ignatowicz, K. Kutt, and G. J. Nalepa, “Evaluation and Comparison of Emotionally Evocative Image Augmentation Methods,” Procedia Computer Science, vol. 246, pp. 3073–3082, 2024, doi: 10.1016/j.procs.2024.09.365.
  3. K. Kutt and G. J. Nalepa, “Emotion Prediction in Real-Life Scenarios: On the Way to the BIRAFFE3 Dataset,” in Artificial Intelligence for Neuroscience and Emotional Systems. IWINAC 2024, J. M. Ferrández Vicente, M. Val Calvo, and H. Adeli, Eds., Cham: Springer, 2024, pp. 465–475. doi: 10.1007/978-3-031-61140-7_44.
  4. K. Kutt, M. Kutt, B. Kawa, and G. J. Nalepa, “Human-in-the-Loop for Personality Dynamics: Proposal of a New Research Approach,” in Artificial Intelligence for Neuroscience and Emotional Systems. IWINAC 2024, J. M. Ferrández Vicente, M. Val Calvo, and H. Adeli, Eds., Cham: Springer, 2024, pp. 455–464. doi: 10.1007/978-3-031-61140-7_43.

2023

  1. K. Kutt, Ł. Ściga, and G. J. Nalepa, “Emotion-based Dynamic Difficulty Adjustment in Video Games,” in 2023 IEEE 10th International Conference on Data Science and Advanced Analytics (DSAA), Oct. 2023, pp. 1–5, doi: 10.1109/DSAA60987.2023.10302578.
  2. J. M. Górriz et al., “Computational approaches to Explainable Artificial Intelligence: Advances in theory, applications and trends,” Inf. Fusion, vol. 100, p. 101945, 2023, doi: 10.1016/j.inffus.2023.101945.
  3. K. Kutt and G. J. Nalepa, “Loki – the semantic wiki for collaborative knowledge engineering,” Expert Systems with Applications, vol. 224, p. 119968, 2023, doi: 10.1016/j.eswa.2023.119968.

2022

  1. M. Sabat, B. Haładus, M. Klincewicz, and G. J. Nalepa, “Cognitive load, fatigue and aversive simulator symptoms but not manipulated zeitgebers affect duration perception in virtual reality,” Sci. Rep., vol. 12, p. 15689, 2022, doi: 10.1038/s41598-022-18520-1.
  2. K. Kutt, D. Drążyk, L. Żuchowska, M. Szelążek, S. Bobek, and G. J. Nalepa, “BIRAFFE2, a multimodal dataset for emotion-based personalization in rich affective game environments,” Sci. Data, vol. 9, no. 1, p. 274, 2022, doi: 10.1038/s41597-022-01402-6.
  3. J. Jakubowski, P. Stanisz, S. Bobek, and G. J. Nalepa, “Anomaly Detection in Asset Degradation Process Using Variational Autoencoder and Explanations,” Sensors, vol. 22, no. 1, p. 291, 2022, doi: 10.3390/s22010291.
  4. K. Kutt, P. Sobczyk, and G. J. Nalepa, “Evaluation of Selected APIs for Emotion Recognition from Facial Expressions,” in Bio-inspired Systems and Applications: from Robotics to Ambient Intelligence - 9th International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2022, Puerto de la Cruz, Tenerife, Spain, May 31 - June 3, 2022, Proceedings, Part II, 2022, vol. 13259, pp. 65–74, doi: 10.1007/978-3-031-06527-9_7.
  5. J. Jakubowski, P. Stanisz, S. Bobek, and G. J. Nalepa, “Performance of Explainable {AI} Methods in Asset Failure Prediction,” in Computational Science - ICCS 2022 - 22nd International Conference, London, UK, June 21-23, 2022, Proceedings, Part IV, 2022, vol. 13353, pp. 472–485, doi: 10.1007/978-3-031-08760-8_40.
  6. M. Kuk, S. Bobek, and G. J. Nalepa, “Comparing Explanations from Glass-Box and Black-Box Machine-Learning Models,” in Computational Science - ICCS 2022 - 22nd International Conference, London, UK, June 21-23, 2022, Proceedings, Part III, 2022, vol. 13352, pp. 668–675, doi: 10.1007/978-3-031-08757-8_55.

2021

  1. V. Rodriguez-Fernández, A. Trzcionkowska, A. González-Pardo, E. Brzychczy, G. J. Nalepa, and D. Camacho, “Conformance Checking for Time-Series-Aware Processes,” IEEE Trans. Ind. Informatics, vol. 17, no. 2, pp. 871–881, 2021, doi: 10.1109/TII.2020.2977126.
  2. M. Kuk, S. Bobek, and G. J. Nalepa, “Explainable clustering with multidimensional bounding boxes,” in 8th IEEE International Conference on Data Science and Advanced Analytics, DSAA 2021, Porto, Portugal, October 6-9, 2021, 2021, pp. 1–10, doi: 10.1109/DSAA53316.2021.9564220.
  3. L. Żuchowska, K. Kutt, and G. J. Nalepa, “Bartle Taxonomy-based Game for Affective and Personality Computing Research,” in 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), Montréal, Quebec, Canada, August 19-20, 2021, 2021, vol. 2995, pp. 51–55, [Online]. Available: paper7.pdf.
  4. G. J. Nalepa, S. Bobek, K. Kutt, and M. Atzmueller, “Semantic Data Mining in Ubiquitous Sensing: A Survey,” Sensors, vol. 21, no. 13, p. 4322, 2021, doi: 10.3390/s21134322.
  5. J. Jakubowski, P. Stanisz, S. Bobek, and G. J. Nalepa, “Explainable anomaly detection for Hot-rolling industrial process,” in 8th IEEE International Conference on Data Science and Advanced Analytics, DSAA 2021, Porto, Portugal, October 6-9, 2021, 2021, pp. 1–10, doi: 10.1109/DSAA53316.2021.9564228.
  6. S. Bobek and G. J. Nalepa, “Introducing Uncertainty into Explainable AI Methods,” in Computational Science - ICCS 2021 - 21st International Conference, Krakow, Poland, June 16-18, 2021, Proceedings, Part VI, 2021, vol. 12747, pp. 444–457, doi: 10.1007/978-3-030-77980-1_34.
  7. S. Bobek, P. Bałaga, and G. J. Nalepa, “Towards Model-Agnostic Ensemble Explanations,” in Computational Science - ICCS 2021 - 21st International Conference, Krakow, Poland, June 16-18, 2021, Proceedings, Part IV, 2021, vol. 12745, pp. 39–51, doi: 10.1007/978-3-030-77970-2_4.
  8. K. Kutt, L. Żuchowska, S. Bobek, and G. J. Nalepa, “People in the Context - an Analysis of Game-based Experimental Protocol,” in 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), Montréal, Quebec, Canada, August 19-20, 2021, 2021, vol. 2995, pp. 46–50, [Online]. Available: paper6.pdf.
  9. S. Bobek, M. Mozolewski, and G. J. Nalepa, “Explanation-Driven Model Stacking,” in Computational Science - ICCS 2021 - 21st International Conference, Krakow, Poland, June 16-18, 2021, Proceedings, Part VI, 2021, vol. 12747, pp. 361–371, doi: 10.1007/978-3-030-77980-1_28.
  10. K. Kutt, S. Skoczeń, and G. J. Nalepa, “A Voice-Based Travel Recommendation System Using Linked Open Data,” in Computational Science - ICCS 2021 - 21st International Conference, Krakow, Poland, June 16-18, 2021, Proceedings, Part III, 2021, vol. 12744, pp. 370–377, doi: 10.1007/978-3-030-77967-2_31.
  11. K. Kutt, P. Nowara, R. Szczur, G. Barnowska, and G. J. Nalepa, “Smart Data for Goods and Vehicle Monitoring - Practical Considerations on Data Semantization,” in 33rd IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2021, Washington, DC, USA, November 1-3, 2021, 2021, pp. 1216–1220, doi: 10.1109/ICTAI52525.2021.00192.
  12. S. Bobek, M. Kuk, J. Brzegowski, E. Brzychczy, and G. J. Nalepa, “KnAC: an approach for enhancing cluster analysis with background knowledge and explanations,” CoRR abs/2112.08759, 2021, [Online]. Available: https://arxiv.org/abs/2112.08759.
  13. S. K. Tadeja, K. Kutt, Y. Lu, P. Seshadri, G. J. Nalepa, and P. O. Kristensson, “Jarvis for Aeroengine Analytics: A Speech Enhanced Virtual Reality Demonstrator Based on Mining Knowledge Databases,” CoRR abs/2107.13403, 2021, [Online]. Available: https://arxiv.org/abs/2107.13403.
  14. K. Kutt, D. Drążyk, S. Bobek, and G. J. Nalepa, “Personality-Based Affective Adaptation Methods for Intelligent Systems,” Sensors, vol. 21, no. 1, p. 163, 2021, doi: 10.3390/s21010163.
  15. S. Bobek and G. J. Nalepa, “Augmenting Automatic Clustering with Expert Knowledge and Explanations,” in Computational Science - ICCS 2021 - 21st International Conference, Krakow, Poland, June 16-18, 2021, Proceedings, Part IV, 2021, vol. 12745, pp. 631–638, doi: 10.1007/978-3-030-77970-2_48.

2020

  1. S. Bobek, M. M. Tragarz, M. Szelążek, and G. J. Nalepa, “Explaining Machine Learning Models of Emotion Using the BIRAFFE Dataset,” in Artificial Intelligence and Soft Computing - 19th International Conference, ICAISC 2020, Zakopane, Poland, October 12-14, 2020, Proceedings, Part II, L. Rutkowski, R. Scherer, M. Korytkowski, W. Pedrycz, R. Tadeusiewicz, and J. M. Żurada, Eds. Springer, 2020, pp. 290–300, doi: 10.1007/978-3-030-61534-5_26.
  2. G. J. Nalepa, J. M. Ferrández, J. T. Palma-Méndez, and V. Julián, Eds., “Proceedings of the 3rd Workshop on Affective Computing and Context Awareness in Ambient Intelligence (AfCAI 2019), Universidad Politécnica de Cartagena, Spain, November 11-12, 2019,” 2020, vol. 2609, [Online]. Available: http://ceur-ws.org/Vol-2609.
  3. G. J. Nalepa, M. Atzmueller, M. Araszkiewicz, and P. Novais, Eds., “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), Madrid, Spain, December 11, 2019,” 2020, vol. 2681, [Online]. Available: http://ceur-ws.org/Vol-2681.
  4. L. Żuchowska, K. Kutt, K. Geleta, S. Bobek, and G. J. Nalepa, “Affective Games Provide Controlable Context. Proposal of an Experimental Framework,” in Proceedings of the Eleventh International Workshop Modelling and Reasoning in Context co-located with the 24th European Conference on Artificial Intelligence, MRC@ECAI 2020, Santiago de Compostela, Galicia, Spain, August 29, 2020, 2020, vol. 2787, pp. 45–50, [Online]. Available: paper7.pdf.
  5. M. Szelążek, S. Bobek, A. González-Pardo, and G. J. Nalepa, “Towards the Modeling of the Hot Rolling Industrial Process. Preliminary Results,” in Intelligent Data Engineering and Automated Learning - IDEAL 2020 - 21st International Conference, Guimaraes, Portugal, November 4-6, 2020, Proceedings, Part I, 2020, vol. 12489, pp. 385–396, doi: 10.1007/978-3-030-62362-3_34.
  6. K. Kutt, D. Drążyk, M. Szelążek, S. Bobek, and G. J. Nalepa, “The BIRAFFE2 Experiment. Study in Bio-Reactions and Faces for Emotion-based Personalization for AI Systems,” CoRR abs/2007.15048, 2020, [Online]. Available: https://arxiv.org/abs/2007.15048.
  7. S. Bobek, A. Trzcionkowska, E. Brzychczy, and G. J. Nalepa, “Cluster Discovery from Sensor Data Incorporating Expert Knowledge,” in Proceedings of the International Workshop on Knowledge Representation and Representation Learning co-located with the 24th European Conference on Artificial Intelligence (ECAI 2020), Virtual Event, September, 2020, 2020, vol. 3020, pp. 10–21, [Online]. Available: KR4L_paper_5.pdf.

2019

  1. B. Giżycka, K. Kutt, and G. J. Nalepa, “Knowledge-based Development of Games Using Design Patterns Ontology,” in Proceedings of the Posters and Demo Track of the 15th International Conference on Semantic Systems co-located with 15th International Conference on Semantic Systems (SEMANTiCS 2019), Karlsruhe, Germany, September 9th - to - 12th, 2019, 2019, vol. 2451, [Online]. Available: paper-12.pdf.
  2. M. Z. Łępicki and S. Bobek, “Affective Context-Aware Systems: Architecture of a Dynamic Framework,” in Artificial Intelligence and Soft Computing - 18th International Conference, ICAISC 2019, Zakopane, Poland, June 16-20, 2019, Proceedings, Part II, 2019, vol. 11509, pp. 575–584, doi: 10.1007/978-3-030-20915-5_51.
  3. G. J. Nalepa, J. T. Palma-Méndez, and M. T. H. Ezquerro, “Affective computing in ambient intelligence systems,” Futur. Gener. Comput. Syst., vol. 92, pp. 454–457, 2019, doi: 10.1016/j.future.2018.11.016.
  4. K. Kluza and G. J. Nalepa, “Formal Model of Business Processes Integrated with Business Rules,” Inf. Syst. Front., vol. 21, no. 5, pp. 1167–1185, 2019, doi: 10.1007/s10796-018-9826-y.
  5. J. K. Argasiński, G. J. Nalepa, P. Strojny, and P. Węgrzyn, “Applying Affective Design Patterns in VR Firefighter Training Simulator,” in Proceedings of the 3rd Workshop on Affective Computing and Context Awareness in Ambient Intelligence (AfCAI 2019), Universidad Politécnica de Cartagena, Spain, November 11-12, 2019, 2019, vol. 2609, [Online]. Available: AfCAI2019_paper_7.pdf.
  6. M. Ślażyński, S. Abreu, and G. J. Nalepa, “Towards a formal specification of local search neighborhoods from a constraint satisfaction problem structure,” in Proceedings of the Genetic and Evolutionary Computation Conference Companion, GECCO 2019, Prague, Czech Republic, July 13-17, 2019, 2019, pp. 137–138, doi: 10.1145/3319619.3321968.
  7. P. Jemioło, B. Giżycka, and G. J. Nalepa, “Prototypes of Arcade Games Enabling Affective Interaction,” in Artificial Intelligence and Soft Computing - 18th International Conference, ICAISC 2019, Zakopane, Poland, June 16-20, 2019, Proceedings, Part II, 2019, vol. 11509, pp. 553–563, doi: 10.1007/978-3-030-20915-5_49.
  8. M. Ślażyński, S. Abreu, and G. J. Nalepa, “Generating Local Search Neighborhood with Synthesized Logic Programs,” in Proceedings 35th International Conference on Logic Programming (Technical Communications), ICLP 2019 Technical Communications, Las Cruces, NM, USA, September 20-25, 2019, 2019, vol. 306, pp. 168–181, doi: 10.4204/EPTCS.306.22.
  9. M. Marcos et al., Eds., “Artificial Intelligence in Medicine: Knowledge Representation and Transparent and Explainable Systems - AIME 2019 International Workshops, KR4HC/ProHealth and TEAAM, Poznan, Poland, June 26-29, 2019, Revised Selected Papers,” 2019, vol. 11979, doi: 10.1007/978-3-030-37446-4.
  10. G. J. Nalepa, M. Atzmueller, M. Araszkiewicz, and P. Novais, Eds., “Proceedings of the EXplainable AI in Law Workshop co-located with the 31st International Conference on Legal Knowledge and Information Systems, XAILA@JURIX 2018, Groningen, The Netherlands, December 12, 2018,” 2019, vol. 2381, [Online]. Available: http://ceur-ws.org/Vol-2381.
  11. G. J. Nalepa, M. Araszkiewicz, S. Nowaczyk, and S. Bobek, “Building Trust to AI Systems Through Explainability. Technical and legal perspectives,” in 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), Madrid, Spain, December 11, 2019, 2019, vol. 2681, [Online]. Available: xaila2019-paper2.pdf.
  12. K. Kutt et al., “BIRAFFE: Bio-Reactions and Faces for Emotion-based Personalization,” in Proceedings of the 3rd Workshop on Affective Computing and Context Awareness in Ambient Intelligence (AfCAI 2019), Universidad Politécnica de Cartagena, Spain, November 11-12, 2019, 2019, vol. 2609, [Online]. Available: AfCAI2019_paper_6.pdf.
  13. S. Bobek, G. J. Nalepa, and M. Ślażyński, “HEARTDROID - Rule engine for mobile and context-aware expert systems,” Expert Syst. J. Knowl. Eng., vol. 36, no. 1, 2019, doi: 10.1111/exsy.12328.
  14. G. J. Nalepa, K. Kutt, and S. Bobek, “Mobile platform for affective context-aware systems,” Futur. Gener. Comput. Syst., vol. 92, pp. 490–503, 2019, doi: 10.1016/j.future.2018.02.033.
  15. G. J. Nalepa, K. Kutt, B. Giżycka, P. Jemioło, and S. Bobek, “Analysis and Use of the Emotional Context with Wearable Devices for Games and Intelligent Assistants,” Sensors, vol. 19, no. 11, p. 2509, 2019, doi: 10.3390/s19112509.

2018

  1. K. Kutt, G. J. Nalepa, B. Giżycka, P. Jemioło, and M. Adamczyk, “BandReader - A Mobile Application for Data Acquisition from Wearable Devices in Affective Computing Experiments,” in 11th International Conference on Human System Interaction, HSI 2018, Gdansk, Poland, July 4-6, 2018, 2018, pp. 42–48, doi: 10.1109/HSI.2018.8431271.
  2. S. Bobek and P. Misiak, “Uncertain Decision Tree Classifier for Mobile Context-Aware Computing,” in Artificial Intelligence and Soft Computing - 17th International Conference, ICAISC 2018, Zakopane, Poland, June 3-7, 2018, Proceedings, Part II, 2018, vol. 10842, pp. 276–287, doi: 10.1007/978-3-319-91262-2_25.
  3. S. Bobek and K. Jurek, “Causal Rules Detection in Streams of Unlabeled, Mixed Type Values with Finit Domains,” in Intelligent Data Engineering and Automated Learning - IDEAL 2018 - 19th International Conference, Madrid, Spain, November 21-23, 2018, Proceedings, Part II, 2018, vol. 11315, pp. 64–74, doi: 10.1007/978-3-030-03496-2_8.
  4. G. J. Nalepa, Modeling with Rules Using Semantic Knowledge Engineering, vol. 130. Springer, 2018.
  5. Â. Costa, P. Novais, V. Julián, and G. J. Nalepa, “Cognitive assistants,” Int. J. Hum. Comput. Stud., vol. 117, pp. 1–3, 2018, doi: 10.1016/j.ijhcs.2018.05.008.
  6. G. J. Nalepa, “Techniques for Construction and Integration of Rule Bases,” in Advances in Data Analysis with Computational Intelligence Methods - Dedicated to Professor Jacek Żurada, 2018, vol. 738, pp. 203–223, doi: 10.1007/978-3-319-67946-4_8.
  7. B. Giżycka and G. J. Nalepa, “Emotion in Models Meets Emotion in Design: Building True Affective Games,” in IEEE Games, Entertainment, Media Conference, GEM 2018, Galway, Ireland, August 15-17, 2018, 2018, pp. 1–5, doi: 10.1109/GEM.2018.8516439.
  8. M. Araszkiewicz and G. J. Nalepa, “Explainability of Formal Models of Argumentation Applied to Legal Domain,” in Proceedings of the EXplainable AI in Law Workshop co-located with the 31st International Conference on Legal Knowledge and Information Systems, XAILA@JURIX 2018, Groningen, The Netherlands, December 12, 2018, 2018, vol. 2381, pp. 21–25, [Online]. Available: xaila2018_paper_9.pdf.
  9. G. J. Nalepa, V. Julián, J. T. P. Méndez, Â. Costa, C. Carrascosa, and P. Novais, Eds., “Proceedings of the Workshop on Affective Computing and Context Awareness in Ambient Intelligence (AfCAI 2018), Valencia, Spain, April 19-20, 2018,” 2018, vol. 2166, [Online]. Available: http://ceur-ws.org/Vol-2166.
  10. G. J. Nalepa and J. Baumeister, Eds., Synergies Between Knowledge Engineering and Software Engineering, vol. 626. Springer, 2018.
  11. B. Giżycka, G. J. Nalepa, and P. Jemioło, “‘AIded with emotions’ - a new design approach towards affective computer systems,” CoRR abs/1806.04236, 2018, [Online]. Available: http://arxiv.org/abs/1806.04236.
  12. G. J. Nalepa, E. Brzychczy, and S. Bobek, “On the Opportunities for Using Mobile Devices for Activity Monitoring and Understanding in Mining Applications,” in Intelligent Data Engineering and Automated Learning - IDEAL 2018 - 19th International Conference, Madrid, Spain, November 21-23, 2018, Proceedings, Part II, 2018, vol. 11315, pp. 75–83, doi: 10.1007/978-3-030-03496-2_9.
  13. G. J. Nalepa, K. Kutt, S. Bobek, and B. Giżycka, “Development of Mobile Platform for Affect Interpretation. Current Progress,” in Proceedings of the Workshop on Affective Computing and Context Awareness in Ambient Intelligence (AfCAI 2018), Valencia, Spain, April 19-20, 2018, 2018, vol. 2166, [Online]. Available: afcai18-paper12.pdf.
  14. K. Kutt, W. Binek, P. Misiak, G. J. Nalepa, and S. Bobek, “Towards the Development of Sensor Platform for Processing Physiological Data from Wearable Sensors,” in Artificial Intelligence and Soft Computing - 17th International Conference, ICAISC 2018, Zakopane, Poland, June 3-7, 2018, Proceedings, Part II, 2018, vol. 10842, pp. 168–178, doi: 10.1007/978-3-319-91262-2_16.