Search Results for author:
Found 6 papers, 0 papers with code
A Case Study of Deep Learning-Based Multi-Modal Methods for Labeling the Presence of Questionable Content in Movie Trailers
In this work, we explore different approaches to combine modalities for the problem of automated age-suitability rating of movie trailers.
White Paper - Creating a Repository of Objectionable Online Content: Addressing Undesirable Biases and Ethical Considerations
This white paper summarizes the authors' structured brainstorming regarding ethical considerations for creating an extensive repository of online content labeled with tags that describe potentially questionable content for young viewers.
White Paper: Challenges and Considerations for the Creation of a Large Labelled Repository of Online Videos with Questionable Content
This white paper presents a summary of the discussions regarding critical considerations to develop an extensive repository of online videos annotated with labels indicating questionable content.
Results of the sixth edition of the BioASQ Challenge
This paper presents the results of the sixth edition of the BioASQ challenge.
Results of the fifth edition of the BioASQ Challenge
The goal of the BioASQ challenge is to engage researchers into creating cuttingedge biomedical information systems.
