Marek Bolanowski

@FedCSIS AI-powered early Parkinson’s detection research from FedCSIS 2020 has now reached 49 citations in Scopus. Authors: R. Damaševičius, O. Abayomi-Alli, R. Maskeliūnas, A. Abayomi-Alli. Read the full paper: annals-csis.org/Volume_21/drp/…

@FedCSIS 2026 participants: planning your stay in Riga? Check the list of recommended hotels near the venue, including special discounted rates for attendees: fedcsis2026.jordan.pl/en/accommodati… Note: participants arrange accommodation individually. #FedCSIS2026 #Riga #Conference

@FedCSIS AI Poland has taken honorary patronage over the FedCSIS conference Proud to support initiatives advancing AI and computer science, and to help create a space for knowledge exchange and innovation. 🔗 FEDCSIS: fedcsis.org See you there!

Title and abstract of FedCSIS 2026 keynote presentation of Professor Sabou, Marta, from Vienna University of Economics and Business (scholar.google.com/citations?user…) is available here (this is hot offf the press news ;-): 2026.fedcsis.org/keynotes/Sabou

A conceptual framework for #DigitalTransformation Adoption in Saudi Arabian Universities: “DTA-SAU: A Conceptual #Framework for Digital Transformation Adoption in Saudi Arabian Universities” by R. Alsulami, N. Beloff, M. White. ACSIS Vol. 41 p. 19–28; tinyurl.com/4463rns7

Wednesday is the deadline!!!!! Hope you are finishing your papers for @FedCSIS (fedcsis.org)

Harnessing LLM tools to generate #OpenCL code for non-serial polyadic #dynamicprogrammingkernels: “Automatic Generation of OpenCL Code through Polyhedral Compilation with #LLM” by M. Palkowski, M. Grużewski. ACSIS Vol. 39 p. 671–676; tinyurl.com/mpv9t5va

Next keynote in our FedCSIS 2025 series, presented by Catholijn Jonker. Keynote Title: Hybrid Intelligence to Strengthen the Reflective & Learning Capacity of Organisations Watch the recording on YouTube: youtube.com/watch?v=Ik2NGE…

Proceedings of: @FedCSIS 2024 Editors: M. Bolanowski, M. Ganzha, L. Maciaszek, M. Paprzycki, D. Ślęzak Publisher: @PTI_Polska

An extended approach for #trainrouting under #movingblockcontrol, with evaluation of #lazyconstraint strategies: “Comparing Lazy Constraint Selection Strategies in Train Routing with Moving Block Control“ by S. Engels, R. Wille. ACSIS Vol. 39 p. 585–590; tinyurl.com/msa4apcf

Introducing the concept of transformation #antipatterns: “Evolving the #EnterpriseSoftware Systems Landscape: Towards Anti-Patterns in Smalltalk-to-#Java Code Transformation“ by Marek Bělohoubek, Robert Pergl. ACSIS Vol. 39 p. 567–572; tinyurl.com/2wrtpfp4

Investigating the evolving landscape of soft skills assessment with the integration of artificial intelligence (#AI) technologies: “Exploring the role of Artificial Intelligence in assessing #softskills“ by M. Ciaschi, M. Barone. ACSIS Vol. 39 p. 573–578; tinyurl.com/fwy9f2s6

Augmenting spoken language corpora for the purpose of training a #speechrecognition system: “Spoken #LanguageCorporaAugmentation with Domain-Specific Voice-Cloned Speech“ by M. Czyżnikiewicz, Ł. Bondaruk, J. Kubiak, et al. ACSIS Vol. 39 p. 579–584; tinyurl.com/2jm542tm

Describing design and development of METRIQA platform, hosting the Italian #agrifood data space: “#Agricultural #DataSpace: the METRIQA Platform and a Case Study in the #CODECS project“ by M. Bacco, A. Kocian, A. Crivello, et al ACSIS Vol. 39 p. 543–548; tinyurl.com/5nuxs55j

Recording of the next keynote in our FedCSIS 2025 series, presented by Robertas Damaševičius, Professor of Kaunas University of Technology, Lithuania. Keynote Title: AI-Driven Innovations in Brain Cancer Research Watch the recording on YouTube: youtube.com/watch?v=WHMR_k…

Exploring the potential of utilizing #RL for personalized #examscheduling: “#ReinforcementLearning based #IntelligentSystem for Personalized Exam Schedule“ by M. Barone, M. Ciaschi, Z. Ullah, A. Piccardi. ACSIS Vol. 39 p. 549–553; tinyurl.com/35yfwhhd

Incorporating #HRL model with layers of Deep Q-Network for dialogue-oriented #diseasediagnosis system: “Disease Diagnosis On Ships Using Hierarchical #ReinforcementLearning“ by F. Batool, T. Hasan, G. Tretola, Z. Ullah, M. Abbas. ACSIS Vol. 39 p. 555–559; tinyurl.com/yfhwhrs9

“#Dashboard User interface (#UI) Implementation for remote critical infrastructure inspection by using #UAV/#Satellite in times of pandemic“ by R. Bratskas, D. Papachristos, P. Savvidis, G. et al. ACSIS Vol. 39 p. 561–566; tinyurl.com/2kt3ecxu

Another great article from the FedCSIS conference: “Overview of the Transformer-based Models for NLP Tasks ” authored by Gillioz, A., Casas, J., Mugellini, E., Khaled, O.A. available at: annals-csis.org/Volume_21/drp/… (380 citations in Scopus)

Providing a better understanding of the dynamics of the COVID-19 #pandemic and for informed decision-making under uncertainty: “A novel #ensemblelearning technique of #shallowmodels applied on a COVID-19 dataset“ by Diogen Babuc. ACSIS Vol. 39 p. 537–542; tinyurl.com/2p9wbwud