ONLYOFFICESep 9, 2024

#FedCSIS 2024 starts today! Join #ONLYOFFICE at this event and learn more about computer science and intelligence systems 🙂

📆 September 8 – 11
📍 Belgrade, Serbia 🇷🇸

The mission of the FedCSIS Conference Series is to provide a presentation, discussion and a reputable publication forum in computer science and intelligence systems.

Our presentation: Use of generative #AI within office software by Petar Živanov, September 11 (Wednesday), at 10:20 local time.

🌐 https://2024.fedcsis.org/program

Program | FedCSIS 2024

Conference program All times are in the Central European Summer Time (CEST, UTC+2) timezone.

FedCSIS 2024
BIBBApr 2, 2024

Noch 6 Wochen 👉 Bis zum 14. Mai 2024 können Beiträge für den zweiten vom #BIBB mitorganisierten „International #workshop on #AI in Digital Humanities, Computational Science and Economics Research“ in Belgrad eingereicht werden! Alle Infos zum Call for Papers unter https://2024.fedcsis.org/thematic/ai-huso

Der Workshop findet im Rahmen der internationalen Konferenz #FedCSIS vom 8. bis 11. September 2024 in Belgrad / Serbien statt.

AI-HuSo | FedCSIS 2024

FedCSIS 2024
Marcin PaprzyckiApr 18, 2023
Attention all data science enthusiasts! Join us at #FEDCSIS for the RSTA session and learn about Rough Sets: Theory and Applications. This is a great opportunity to connect with experts in the field and discover the latest advancements. Register now and secure your spot! Registration link: https://lnkd.in/d3tHVVb8 #RSTA #DataScience #AI #MachineLearning"
RSTA | FedCSIS

FedCSIS
Marcin PaprzyckiApr 18, 2023
Attention all optimization enthusiasts! Join us at #FEDCSIS for the Computational Optimization session and learn about the latest developments in optimization algorithms and applications. Don't miss out on this exciting opportunity to connect with experts in the field. Register now!
Registration link: https://lnkd.in/dUzjSuU7 #Optimization #AI #MachineLearning
WCO | FedCSIS

FedCSIS
Marcin PaprzyckiDec 28, 2022
Comparing #XGBoost with #TabNet on #FedCSIS competition data, including incremental model re-building and parameter tuning: “XGBoost meets TabNet in Predicting the Costs of Forwarding Contracts” by A. Lewandowska. @FedCSIS
2022, ACSIS Vol. 30 p. 417–420; http://tinyurl.com/ym8pee8u
Annals of Computer Science and Information Systems, Volume 30

Marcin PaprzyckiDec 27, 2022
Summarizing experiments conducted and findings related to #FedCSIS 2022 Challenge in: “Prediction of the Costs of #ForwardingContracts with #MachineLearning Methods” by S.Kaźmierczak. @FedCSIS
2022, ACSIS Vol. 30 p. 413–416; http://tinyurl.com/43aztex9
Annals of Computer Science and Information Systems, Volume 30