@FedCSIS

FedCSIS conference series is organized by IEEE PS C-16 (Computer Society) Chapter and other IEEE units; publication: IEEE DL, indexed: Scopus (all publications)

 Gdynia, Poland
fedcsis.org
Joined September 2014
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20Media
Anyone into precision viniculture? Then check out the paper: mdpi.com/1424-8220/26/21/670… 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.

Grapes Ready for Picking: Investigating the Readiness of Precision Viticulture Datasets for Scene...

Public datasets of vineyard imagery were collected for detection, segmentation and disease mapping and are now proposed as a source for 3D scene reconstruction. Their documentation rarely states the...

mdpi.com
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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.
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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; tinyurl.com/muj56rs4
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Good news -- just got message from "IEEE Central": "MOU Approved: 2027 22nd Conference on Computer Science and Intelligence Systems (FedCSIS) - #74012" So, we are now officially an IEEE-related event. Note WWW site is "hidden" --> patching Drupal PHP.
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Maximizing the total availability of vehicles or minimizing the total maintenance cost in rolling stock scheduling problems: “#Metaheuristics for #RollingStock Cyclic Job Scheduling Problems with #Maintenance” by R. Rudek. ACSIS Vol. 43 p. 375–380; tinyurl.com/bde6betp
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Enhancing the trustworthiness and usability of AQ data in real-world applications: “Enhancing Low-Cost Air #QualitySensors with# AI for #SmartGreenRouting” by L. Po, M. Casari, F. Rollo, et al. ACSIS Vol. 43 p. 369–374; tinyurl.com/4ju2c32
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Multi-stage method for colour #imagesegmentation, with focus on #vesselssegmentation in retinal #fundusimages, using a U-Net based architecture: “Hybrid U-Net segmentation of vessels in fundus eye images” by L. Pawlaczyk. ACSIS Vol. 43 p. 363–368; tinyurl.com/yd7smh77N
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FedCSIS conference has reached Scopus H=46. No, we are not the most cited conference, but coming to Gdynia next year makes sense, does it not? ;-)
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Automatically discovering and documenting inter-endpoint #dependencies: “Enhancing #APIdocumentation by inter-endpoint dependency graphs” by P. Papadeas, D. Gerokonstantis, C. Hadjichristofi, V. Vescoukis. ACSIS Vol. 43 p. 357–362; tinyurl.com/mr4dh7f9
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Report from FedCSIS 2026 has been published, you can read it at: 2027.fedcsis.org/sites/2027.… after reading the rport, think if this is not a conference for you and come to Gdynia ;-)
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Real-time integration of #smartmobilityservices: “#DigitalTwin Micro-Services Architecture to Support a Scenario-based #Integration of Smart Mobility Services and Simulations” by D.Nicolas, C. Feltus, RA De Jesus Marques. ACSIS Vol. 43 p. 351–356; tinyurl.com/2mvuc7u7
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Drawbacks and advantages of using different threshold levels for the model’s tolerance for #OOD: “Out-Of-Distribution Is Not Magic: The Clash Between #RejectionRate and #ModelSuccess” by I. Meiri, R. Dubin, A. Dvir, C. Hajaj. ACSIS Vol. 43 p. 345–350; tinyurl.com/322f7wmv
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Harnessing the intricate feedback mechanisms observed in #forestecosystems: “Forest-Inspired #ReinforcementLearning Based On Nature Ecosystem #FeedbackMechanisms” by R. Maskeliūnas, R. Damaševičius. ACSIS Vol. 43 p. 339–344; tinyurl.com/8d2turh4
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If you like what you see being posted there, please follow (no worries only professional content ;-), like posts that you like and repost, so that others will be able to see as well. Thank you!
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Note that post-FedCSIS content is published by (Annals of Computer Science and Information Systems; @annals_csis) you may want to check their site (as they publish a bit more than just FedCSIS).
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Proceedings of FedCSIS 2026 Conference have been included in the IEEE DL: ieeexplore.ieee.org/xpl/conh… While some may not be able to see the texts of papers, but they are open access available in @annals_csis (Annals of Computer Science and Information Systems)
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Promoting transparency and clinical trust in #bloodglucoseforecasting: “Attention-Based Multi-Task Learning and #PPO #ReinforcementLearning for Explainable Blood Glucose Prediction” by S. Maqsood, E. Belousovienė, R. Maskeliūnas. ACSIS Vol. 43 p. 333–338; tinyurl.com/5t3rjapf
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Proposing 4 specialized classifiers for nails and detachments in work of arts: “#AIclassifier of defects in Artworks captured by active #infraredthermography” by P. Malík, M. Orlej, B. Fajčák, M. Rippa. ACSIS Vol. 43 p. 327–332; tinyurl.com/my2fzbds
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Alternative to conventional approaches from neural #architecturesearch area: “Applying Evolutionary Techniques to Enhance #GraphConvolutionalNetworks for #NodeClassification: Case Studies” by M. Krzywda, S. Lukasik, A. H Gandomi. ACSIS Vol. 43 p. 321–326; tinyurl.com/48228m9mEE
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A new replay snapshotting (RS) technique for strategy learning from past matches in real-time strategy game #StarCraft: Brood War: “StarCraft #strategylearning refinement using #replaysnapshotting” by Š. Krištofík, M. Hanková. ACSIS Vol. 43 p. 315–320; tinyurl.com/yvdasy4t
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