Deep Learning in Multiple Instance Learning: Methods, Applications, and Research Trends
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Access"
DOI: 10.1109/access.2025.3625449
Abstract: Multiple instance learning (MIL) is a flexible learning framework where data is organized into sets of instances, called bags, with a single label assigned to the entire bag instead of individual instances. This formulation is… read more here.
Keywords: deep learning; learning frameworks; instance; multiple instance ... See more keywords
Performance Assessment of Deep Learning Frameworks through Metrics of CPU Hardware Exploitation on an Embedded Platform
Sign Up to like & getrecommendations! Published in 2020 at "International Journal of Electrical and Computer Engineering"
DOI: 10.32985/ijeces.11.1.1
Abstract: In this paper, we analyze heterogeneous performance exhibited by some popular deep learning software frameworks for visual inference on a resource-constrained hardware platform. Benchmarking of Caffe, OpenCV, TensorFlow, and Caffe2 is performed on the same… read more here.
Keywords: deep learning; performance assessment; learning frameworks; performance ... See more keywords
Machine Learning Frameworks for Automated Software Testing Tools : A Study
Sign Up to like & getrecommendations! Published in 2017 at "Informs Journal on Computing"
DOI: 10.5392/ijoc.2017.13.1.038
Abstract: Increased use of software and complexity of software functions, as well as shortened software quality evaluation periods, have increased the importance and necessity for automation of software testing. Automating software testing by using machine learning… read more here.
Keywords: machine learning; software testing; learning frameworks; automated software ... See more keywords