Search results for: DEEP NEURAL NETWORKS, EXPLAINABLE ARTIFICIAL INTELLIGENCE, ADVER-SARIAL ATTACKS

• Vehicle detector training with minimal supervision

  Publication

  • S. Cygert
  • A. Czyżewski

  - Year 2019

  Recently many efficient object detectors based on convolutional neural networks (CNN) have been developed and they achieved impressive performance on many computer vision tasks. However, in order to achieve practical results, CNNs require really large annotated datasets for training. While many such databases are available, many of them can only be used for research purposes. Also some problems exist where such datasets are not...

• Tomasz Deręgowski dr inż.

  People

  Tomasz Deręgowski is Assistant Professor at the Department of Informatics in Management, Faculty of Management and Economics, Gdańsk University of Technology, Poland, and Head of Data Platform Engineering Department, working on Big Data, Machine Learning and Data Science solutions at Nordea Bank AB - the largest Scandinavian financial institution. He has more than 15 years of industrial experience, working as a programmer, team...

• AFarCloud Aggregate Farming in the Cloud

  Projects

  Project manager: dr hab. inż. Łukasz Kulas   Financial Program Name: HORYZONT 2020

  Project realized in Department of Microwave and Antenna Engineering according to 783221 — AFarCloud agreement from 2018-05-17

• Wiktoria Wojnicz dr hab. inż.

  People

  Faculty of Mechanical Engineering and Ship Technology, Zakład Mechaniki Stosowanej i Biomechaniki, Institute of Mechanics and Machine Design

  DSc in Mechanics (in the field of Biomechanics)  - Lodz Univeristy of Technology, 2019 PhD in Mechanics (in the field of Biomechanics)  - Lodz Univeristy of Technology, 2009 (with distinction)   List of papers (2009 - ) Wojnicz W., Wittbrodt E., Analysis of muscles' behaviour. Part I. The computational model of muscle. Acta of Bioengineering and Biomechanics, Vol. 11, No.4, 2009, p. 15-21 Wojnicz W., Wittbrodt E., Analysis of...