Katedra Multimediów PJATK

Publikacje

2022

 

  • Dobbs, T., & Ras, Z. (2022). On art authentication and the Rijksmuseum challenge: A residual neural network approach. Expert Systems with Applications, 200, 116933.
  • Dobbs, T., Benedict, A., & Ras, Z. (2022). Jumping into the artistic deep end: building the catalogue raisonné. AI & SOCIETY, 1-17.
  • Duan, Y., & Ras, Z. W. (2022). Developing customer attrition management system: discovering action rules for making recommendations to retain customers. Applied Intelligence, 1-15.
  • Szklanny, K., & Lachowicz, J. (2022). Implementing a Statistical Parametric Speech Synthesis System for a Patient with Laryngeal Cancer. Sensors, 22(9), 3188.
  • Bartłomiejczyk, M., Gumul, E., & Koržinek, D. (2022). EP-Poland: Building A Bilingual Parallel Corpus For Interpreting Research. GEMA Online Journal of Language Studies, 22(1).
  • Kobyliński, Ł., Ogrodniczuk, M., Kocoń, J., Marcińczuk, M., Smywiński-Pohl, A., Wołk, K., … & Dybała, P. (2022). Evaluating Natural Language Processing tools for Polish during PolEval 2019. In Language and Technology Conference (pp. 303-321). Springer, Cham.
  • Klessa, K., Koržinek, D., Sawicka-Stępińska, B., & Kasperek, H. (2022). ANNPRO: A Desktop Module for Automatic Segmentation and Transcription. In Language and Technology Conference (pp. 65-77). Springer, Cham.
  • Biele, C., Kacprzyk, J., Kopeć, W., Owsiński, J. W., Romanowski, A., & Sikorski, M. (Eds.). (2022). Digital Interaction and Machine Intelligence: Proceedings of MIDI’2021–9th Machine Intelligence and Digital Interaction Conference, December 9-10, 2021, Warsaw, Poland (Vol. 440). Springer Nature.
  • Jaskulska, A., Skorupska, K., Kwiatkowska, K., Stawski, W., Krzywicki, M., Kornacka, M., & Kopec, W. (2022, August). Participatory Action for Citizens’ Engagement to Develop a Pro-environmental Research. In Digital Interaction and Machine Intelligence: Proceedings of MIDI’2021–9th Machine Intelligence and Digital Interaction Conference, December 9-10, 2021, Warsaw, Poland (Vol. 440, p. 198). Springer Nature.
  • Karpowicz, B., Masłyk, R., Skorupska, K., Jabłoński, D., Kalinowski, K., Kobyliński, P., … & Kopeć, W. (2022). Intergenerational Interaction with Avatars in VR: An Exploratory Study Towards an XR Research Framework. In Conference on Multimedia, Interaction, Design and Innovation (pp. 229-238). Springer, Cham.
  • Pochwatko, G., Świdrak, J., Kopeć, W., Jȩdrzejewski, Z., Feledyn, A., Vogt, M., … & Zagórska, K. (2022). Multisensory Representation of Air Pollution in Virtual Reality: Lessons from Visual Representation. In Conference on Multimedia, Interaction, Design and Innovation (pp. 239-247). Springer, Cham.
  • Kopeć, W., Skorupska, K., Jaskulska, A., Łukasik, M., Karpowicz, B., Paluch, J., … & Masłyk, R. (2022). XR Hackathon Going Online: Lessons Learned from a Case Study with Goethe-Institute. In Conference on Multimedia, Interaction, Design and Innovation (pp. 218-228). Springer, Cham.
  • Jaskulska, A., Skorupska, K., Bubrowska, Z., Kwiatkowska, K., Stawski, W., Krzywicki, M., … & Kopeć, W. (2022). Participatory Action for Citizens’ Engagement to Develop a Pro-environmental Research Application. In Conference on Multimedia, Interaction, Design and Innovation (pp. 198-207). Springer, Cham.
  • Wołk, K., Wołk, A., Wnuk, D., Grześ, T., & Skubis, I. (2022). Survey on dialogue systems including slavic languages. Neurocomputing, 477, 62-84.
  • Jacennik, B., Zawadzka-Gosk, E., Moreira, J. P., & Glinkowski, W. M. (2022). Evaluating Patients’ Experiences with Healthcare Services: Extracting Domain and Language-Specific Information from Free-Text Narratives. International Journal of Environmental Research and Public Health, 19(16), 10182.

 

2021

 

  • Powell, L., Gelich, A., & Ras, Z. W. (2021). How to raise artwork prices using action rules, personalization and artwork visual features. Journal of Intelligent Information Systems, 57(3), 583-599.
  • Zimmermann, A., Koprinska, I., Kamp, M., Appice, A., Loglisci, C., Antonie, L., … & Gulla, J. A. (2021). ECML PKDD 2020 Workshops Workshops of the European Conference on Machine Learning and Knowledge Discovery in Databases (ECML PKDD 2020): SoGood 2020, PDFL 2020, MLCS 2020, NFMCP 2020, DINA 2020, EDML 2020, XKDD 2020 and INRA 2020, Ghent, Belgium, September 14–18, 2020, Proceedings.
  • Stettinger, M., Leitner, G., Felfernig, A., & Ras, Z. W. (Eds.) (2021). Intelligent Systems in Industrial Applications: 25th International Symposium, ISMIS 2020, Graz, Austria, September 23–25, 2020, Proceedings. (1 ed.) (Studies in Computational Intelligence). Springer. https://doi.org/10.1007/978-3-030-67148-8
  • Tarnowska, K. A., & Ras, Z. (2021). Nlp-based customer loyalty improvement recommender system (clirs2). Big Data and Cognitive Computing, 5(1), 4.
  • Ras, Z. W., Wieczorkowska, A., & Tsumoto, S. (Eds.). (2021). Recommender Systems for Medicine and Music. Springer International Publishing.
  • Tarnowska, K. A., & Ras, Z. (2021). Nlp-based customer loyalty improvement recommender system (clirs2). Big Data and Cognitive Computing, 5(1), 4.
  • Mardini, M. T., Hashky, A., & Raś, Z. W. (2021). Personalizing patients to enable shared decision making. In Recommender Systems for Medicine and Music (pp. 75-90). Springer, Cham.
  • Ivanova, M., & Raś, Z. W. (2021). Recommendation Systems in Healthcare. In Recommender Systems for Medicine and Music (pp. 1-11). Springer, Cham.
  • Kleć, M., & Wieczorkowska, A. (2021). Music recommendation systems: A survey. In Recommender Systems for Medicine and Music (pp. 107-118). Springer, Cham.
  • Kleć, M., & Wieczorkowska, A. (2021). Music and Healthcare Recommendation Systems. In Recommender Systems for Medicine and Music (pp. 187-195). Springer, Cham.
  • Węgrzyn D, Wrzeciono P, Wieczorkowska A. The Dependence of Flue Pipe Airflow Parameters on the Proximity of an Obstacle to the Pipe’s Mouth. Sensors. 2022; 22(1):10. https://doi.org/10.3390/s22010010
    Szklanny K, Wichrowski M, Wieczorkowska A. Prototyping Mobile Storytelling Applications for People with Aphasia. Sensors. 2022; 22(1):14. https://doi.org/10.3390/s22010014
    Geremek, M., & Szklanny, K. (2021). Deep Learning-Based Analysis of Face Images as a Screening Tool for Genetic Syndromes. Sensors, 21(19), 6595.
  • Brocki, Łukasz, 2021, Korpus nagrań radiowych, CLARIN-PL digital repository, http://hdl.handle.net/11321/820
  • Koržinek, D., & Chmiel, A. (2021). Interpreter identification in the Polish Interpreting Corpus. Tradumàtica, (19).
  • Skorupska, K., Nielek, R., & Kopec, W. (2021, December). AFFORCE: Actionable Framework for Designing Crowdsourcing Experiences for Older Adults. In IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (pp. 469-475).
  • Makowska-Tlomak, E., Nielek, R., Skorupska, K., Paluch, J., & Kopec, W. (2021, December). Evaluating a Sentiment Analysis Tool to Detect Digital Transformation Stress. In IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (pp. 103-111).
  • Kopeć, W., Biele, C., Kornacka, M., Pochwatko, G., Jaskulska, A., Skorupska, K., … & Masłyk, R. (2021, August). Participatory Design Landscape for the Human-Machine Collaboration, Interaction and Automation at the Frontiers of HCI (PDL 2021). In IFIP Conference on Human-Computer Interaction (pp. 564-569). Springer, Cham.
  • Skorupska, K., Jaskulska, A., Masłyk, R., Paluch, J., Nielek, R., & Kopeć, W. (2021, August). Older Adults’ Motivation and Engagement with Diverse Crowdsourcing Citizen Science Tasks. In IFIP Conference on Human-Computer Interaction (pp. 93-103). Springer, Cham.
  • Kopeć, W., Kalinowski, K., Kornacka, M., Skorupska, K. H., Paluch, J., Jaskulska, A., … & Gago, P. (2021, May). VR Hackathon with Goethe Institute: Lessons Learned from Organizing a Transdisciplinary VR Hackathon. In Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems (pp. 1-7).
  • Kopeć, W., Kowalski, J., Paluch, J., Jaskulska, A., Skorupska, K. H., Niewiński, M., … & Biele, C. (2021, May). Older Adults and Brain-Computer Interface: An Exploratory Study. In Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems (pp. 1-5).
  • Wołk, A., Chlasta, K., & Holas, P. (2021). Hybrid approach to detecting symptoms of depression in social media entries. arXiv preprint arXiv:2106.10485.
  • JP, S., Menon, V. K., KP, S., & Wolk, A. (2021). Generation of Cross-Lingual Word Vectors for Low-Resourced Languages Using Deep Learning and Topological Metrics in a Data-Efficient Way. Electronics, 10(12), 1372.
  • Wołk, A., Skowrońska, H., & Skubis, I. (2021). Multilingual Chatbot for E-Commerce: Data Generation and Machine Translation.