Our Research.
Research in the Artificial Intelligence domain: handwritting transcription, semantic advertising, disinformation detection.
“Fake or Fact? Theoretical and Practical Aspects of Fake News”
Authors: George Bara, Gerhard Backfried, Dorothea Thomas-Aniola
Date: 2019
Publisher: Springer International Publishing
“An Interactive Artificial Intelligence System for Inventive Problem-Solving”
Authors: Emil Stetco, Stelian Brad
Date: 2022
Publisher: TRIZ Future 2022 Conference
AdServista
AdServista uses advanced Artificial Intelligence algorithms for deeps semantic understanding of online content, providing Supply and Demand-side platforms with the means to verify inventories and enforce brand safety while delivering precise contextual ads.
EU-Funded research project (POC (Operational Competitivity Programme), R&D projects for innovative spin-offs and start-ups.)
Date: 2017
Link: https://www.adservista.com/
“Building a Dynamic Corpus of Fake News Using Commercially Available Machine Translation and NLP Software”
Authors: George Bara
Date: 2021, May
Preliminary Research on Computer-Assisted Transcription
of Medieval Scripts in the Latin Alphabet using AI Computer Vision techniques and Machine Learning
Authors: Adinel C. DINCĂ, (PhD, Associate Professor, Babeș-Bolyai University, Cluj-Napoca, Romania), Emil Stetco (Zetta Cloud)
Date: 2020
Read more: https://zettacloud.ai/ai-powered-ocr-for-historical-archives-transcription/
Grant: Romanian National Authority for Scientific Research, CNDI–UEFISCDI, project PN-III-P4-ID-PCCF-2016-0064: “The Rise of an Intellectual Elite in Central Europe: Making Professors at the University of Vienna, 1389-1450” (https://rise-ubb.com/).
Published:
- https://digihubb.centre.ubbcluj.ro/journal/index.php/digitalia/article/view/69
- https://www.researchgate.net/publication/347834625_Preliminary_Research_on_Computer-Assisted_Transcription_of_Medieval_Scripts_in_the_Latin_Alphabet_using_AI_Computer_Vision_techniques_and_Machine_Learning_A_Romanian_Exploratory_Initiative