FedCSIS conference series is organized by IEEE PS C-16 (Computer Society) Chapter and other IEEE units; publication: IEEE DL, indexed: Scopus (all publications)
Supporting #exportcontrol screening through a multistage, expert-in-the-loop framework: “Leveraging Large Language Models for Automated Export Control Screening: Evaluating #LLMs#Framework” by S. Alotaibi, A. Lisitsa, et al. ACSIS Vol. 43 p. 441–449; https://t.co/sXyul47lIC
Resolution Report for prefix 10.15439 from Nov 3, 2026 (for Annals of Computer Science and Information Systems, where post-FedCSIS publications appear); in October 2026 resolution requests growth ~71% year-to-year; #9 most popular: https://t.co/2jT1llpmAo
Developing an ensemble learning-based framework to forecast the yield of several crops: “Multi-level Optimization-based #EnsembleMachineLearning for Efficient Crop #YieldPrediction in Saudi Arabia” by R. Aldawoud, Z. Sbaï. ACSIS Vol. 43 p. 429–440; https://t.co/d5xXKoclxv
Resolution Report for prefix 10.15439 from Nov 3, 2026 (for @annals_csis -> Annals of Computer Science and Information Systems, where the post-FedCSIS publications appear) stated that in October there were 43,531 resolution attempts, with #10 being: https://t.co/sbvmup0BQa
App for home #wardrobemanagement, aimed at promoting #sustainability in #fashion by encouraging more conscious clothing choices: “Encouraging Sustainable Fashion Choices Through a #MobileApplication” by B. Šimková. ACSIS Vol. 43 p. 417–422; https://t.co/HMTEApZvN8
While this page is ready for a while, we were too busy with things. So, a moment of relaxation. Gallery from FedCSIS 2026 at @RTU IS available as: https://t.co/Yypftz8nYq In the context of recent series complaints about monster conferences, maybe you should send your work to us?
We (FedCSIS COnference Series Proceedings) are back in Web of Science. We have no idea why we were not included before, but we aere surely glad that we are included with 2025 Proceedings. See the attached screen shot.
Forecasting #hedgefunds strategy performance: “Evaluating Effectiveness of Nonlinear Dimensionality Reduction in Hedge Funds’ #ReturnsForecasting” by M. Zukanović, A. Radosavčević, A. Poledica, P. Milošević, I. Luković. ACSIS Vol. 43 p. 411–416; https://t.co/rDyjhrWwkK
Predicting energy output in photovoltaic systems using #machinelearning models: “Unified Data-Driven Prediction of #Photovoltaics Output from #Weather and Geographic Data Across Diverse Systems” by Joanna Wójcicka, Tomasz Hachaj. ACSIS Vol. 43 p. 405–410; https://t.co/ao9rMS1Tvo
Utilizing multiple sensors and #Bayesianlearning to detect #USV operational faults: “#AnomalyDetection for Unmanned Surface Vehicles Based on a Multi-Modal Bayesian Generative Model” by M. Tekulu, A. Krayani, P. Zontone, et al. ACSIS Vol. 43 p. 3399–404; https://t.co/AVC2w9OlEu
The official IEEE numer and the list of IEEE units involved (total of 20) has been added to the conference site (right hand side of https://t.co/AFa0Qiz30A). We will add pertinent logos shortly.
Investigating the characteristics, limitations, and gaps of current Quality Evaluation Tools (QETs) for OSS: “Challenges in Evaluating #OSS Quality: Results from #SLR on #QualityEvaluation Tools” by A. Taşgetiren, AK Tarhan. ACSIS Vol. 43 p. 387–392; https://t.co/nkiPk8ihgy
Do #AI projects exhibit distinct patterns in issue resolution, PR management, and contributor sentiment?: “Comparative Analysis of AI and Traditional #Software GitHub Repositories Using #ProcessMining” by O. Tasci, TG Erdogan. ACSIS Vol. 43 p. 387–392; https://t.co/0EAQR480RA
Anyone into precision viniculture? Then check out the paper:
https://t.co/WA9S5usNgi
look also into associated WWW site, where the datasets that we managed to locate are listed. If you have "your own" labeled dataset, you can share with others by submitting it there.
Fun fact for Saturday. FedCSIS 2027 not only is coorganized by IEEE Poland Section Computer Society Chapter, but has 19 other IEEE "units" as technical co-sponsors (from @IEEEorg Region 8). We believe that this is the largest number of IEEE units for any IEEE related conference.
Enabling the discovery of #symbolic, human-readable models: “Symbolic vs Black-Box #Explanations: A Model-Driven Approach Using #GrammaticalEvolution” by D. Sepioło, A. Ligęza. ACSIS Vol. 43 p. 381–386; https://t.co/8f1HzUAcDh