Papers

See my papers also on ORCID, Research Gate, Web of Science, SciProfiles, Google Scholar, Academia.edu, Scopus, DBLP, PBN, RUJ and BPP AGH.

2024

• [conf#26] 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.
• [jou#8] 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.
• [conf#25] 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.
• [conf#24] 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.

2023

• [conf#23] 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.
• [jou#7] J. M. Górriz et al., “Computational approaches to Explainable Artificial Intelligence: Advances in theory, applications and trends,” Inf. Fusion, vol. 100, p. 101945, Dec. 2023, doi: 10.1016/j.inffus.2023.101945. [IF 18.6, WoS]
• [jou#6] K. Kutt and G. J. Nalepa, “Loki – the semantic wiki for collaborative knowledge engineering,” Expert Systems with Applications, vol. 224, p. 119968, Aug. 2023, doi: 10.1016/j.eswa.2023.119968. [IF 8.665, WoS]
• [conf-w/o-pub#3] K. Kutt and G. J. Nalepa, “Advanced Semantic Web-based Processing Scenarios (APS) for Digital Libraries“. Paper was presented as a poster at PP-RAI’2023 – 4th Polish Conference on Artificial Intelligence

2022

• [jou#5] 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. [IF 6.444, WoS]
• [conf#22] 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. IWINAC 2022 Proceedings, Part II, J. M. Ferrández Vicente, J. R. Álvarez-Sánchez, F. de la Paz López, and H. Adeli, Eds. Cham: Springer International Publishing, 2022, pp. 65–74. [WoS]

2021

• [conf#21] 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 2021 IEEE 33rd International Conference on Tools with Artificial Intelligence (ICTAI), Nov. 2021, pp. 1216–1220. [WoS]
• [conf#20] L. Żuchowska, K. Kutt, and G. J. Nalepa, “Bartle Taxonomy-based Game for Affective and Personality Computing Research,” in Twelfth International Workshop Modelling and Reasoning in Context (MRC) @IJCAI 2021, 2021, pp. 51–55.
• [conf#19] K. Kutt, L. Żuchowska, S. Bobek, and G. J. Nalepa, “People in the Context – an Analysis of Game-based Experimental Protocol,” in Twelfth International Workshop Modelling and Reasoning in Context (MRC) @IJCAI 2021, 2021, pp. 46–50.
• [jou#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.  [IF 3.275, WoS].
• [conf#18] K. Kutt, S. Skoczeń, and G. J. Nalepa, “A Voice-Based Travel Recommendation System Using Linked Open Data,” in Computational Science – ICCS 2021, Part III, 2021, pp. 370–377, doi: 10.1007/978-3-030-77967-2_31.
• [jou#3] 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. [IF 3.275, WoS].

2020

• [conf-w/o-pub#2] 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“. Paper was presented at HAII workshop during ECAI 2020 (online)
• [conf#17] 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, vol. 2787, pp. 45–50.
• [conf#16] K. Kutt, D. Drążyk, P. Jemioło, S. Bobek, B. Giżycka, V. Rodriguez-Fernandez, and G. J. Nalepa, “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), 2020, vol. 2609.

2019

• [conf#15] B. Giżycka, K. Kutt, and G. J. Nalepa, “Knowledge-based Development of Games Using Design Patterns Ontology,” in SEMANTiCS 2019 Posters&Demos, 2019, vol. 2451.
• [jou#2] 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. [IF 3.031, WoS].
• [jou#1] G. J. Nalepa, K. Kutt, and S. Bobek, “Mobile platform for affective context-aware systems,” Futur. Gener. Comput. Syst., vol. 92, pp. 490–503, Mar. 2019. [IF 3.997, WoS].

2018

• [conf#14] 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 2018 11th International Conference on Human System Interaction (HSI), 2018, pp. 42–48. [WoS].
• [conf#13] 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 ICAISC 2018, vol. 10842 LNAI, Springer, 2018, pp. 168–178. [WoS].
• [conf#12] 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), 2018.

2017

• [conf-w/o-pub#1] G. J. Nalepa, S. Bobek, M. Ślażyński, and K. Kutt, “Knowledge and Software Engineering with Prolog,” presented at the 8th Language & Technology Conference. Special Session “Alain Colmerauer, Pionieer of logic programming in NLP”, 2017.
• [conf#11] K. Kutt, G. J. Nalepa, and D. Burdzy, “Semantically Enhanced Navigation System Using Augmented Reality,” in MCSS 2017: Multimedia Communications, Services and Security, 2017, pp. 62–72.
• [conf#10] G. J. Nalepa, B. Giżycka, K. Kutt, and J. K. Argasiński, “Affective Design Patterns in Computer Games. Scrollrunner Case Study,” in Communication Papers of the 2017 Federated Conference on Computer Science and Information Systems, 2017, vol. 13, pp. 345–352.
• [conf#9] M. Ślażyński, G. J. Nalepa, S. Bobek, and K. Kutt, “Semantic Annotations for Mediation of Complex Rule Systems,” in Artificial Intelligence and Soft Computing: 16th International Conference, ICAISC 2017, Zakopane, Poland, June 11-15, 2017, Proceedings, Part II, 2017, pp. 623–634. [WoS].
• [chap#1] K. Kluza, G. J. Nalepa, M. Ślażyński, K. Kutt, E. Kucharska, K. Kaczor, and A. Łuszpaj, “Overview of Selected Business Process Semantization Techniques,” in Advances in Business ICT: New Ideas from Ongoing Research, T. Pełech-Pilichowski, M. Mach-Król, and C. M. Olszak, Eds. Springer International Publishing, 2017, pp. 45–64. [WoS].

2016

• [conf#8] K. Kutt, “Semantic Wikis Versioning with BiFröST,” in Proceedings of the Doctoral Consortium of AI*IA 2016 co-located with the 15th International Conference of the Italian Association for Artificial Intelligence (AI*IA 2016), 2016, pp. 34-39.
• [conf#7] G. J. Nalepa, J. K. Argasiński, K. Kutt, P. Węgrzyn, S. Bobek, and M. Z. Łępicki, “Affective Computing Experiments in Virtual Reality with Wearable Sensors. Methodological considerations and preliminary results,” in Proceedings of the Workshop on Affective Computing and Context Awareness in Ambient Intelligence (AfCAI 2016), 2016, vol. 1794.
• [conf#6] G. J. Nalepa, K. Kutt, S. Bobek, and M. Z. Łępicki, “AfCAI systems: Affective Computing with Context Awareness for Ambient Intelligence. Research proposal,” in Proceedings of the Workshop on Affective Computing and Context Awareness in Ambient Intelligence (AfCAI 2016), 2016, vol. 1794.

2015

• [conf#5] G. J. Nalepa, M. Ślażyński, K. Kutt, E. Kucharska, and A. Łuszpaj, “Unifying Business Concepts for SMEs with Prosecco Ontology,” in Proceedings of the 2015 Federated Conference on Computer Science and Information Systems, FedCSIS, 2015. [WoS].
• [conf#4] K. Kutt, A. Gunia, and G. J. Nalepa, “Cognitive Enhancement: How to Increase Chance of Survival in the Jungle?,” in Proceedings – 2015 IEEE 2nd International Conference on Cybernetics, CYBCONF, 2015. [WoS].

2014

• [conf#3] K. Kluza, K. Kutt, and M. Woźniak, “SBVRwiki (Tool Presentation),” in Proceedings of 10th Workshop on Knowledge Engineering and Software Engineering (KESE10) co-located with 21st European Conference on Artificial Intelligence (ECAI 2014), 2014, vol. 1289.
• [conf#2] G. J. Nalepa, K. Kutt, and K. Kaczor, “Can the Generation of Test Cases for Unit Testing be Automated with Rules?,” in 13th International Conference on Artificial Intelligence and Soft Computing, ICAISC, 2014, vol. 8468 LNAI, PART 2, pp. 536–547. [WoS].

2013

• [conf#1] K. Kaczor, G. J. Nalepa, and K. Kutt, “HaDEsclipse – Integrated environment for rules (tool presentation),” in Proceedings of 9th Workshop on Knowledge Engineering and Software Engineering (KESE9) co-located with the 36th German Conference on Artificial Intelligence (KI2013), 2013, vol. 1070 CEUR-WS.