Essays about: "Multiple Instance Learning"
Showing result 1 - 5 of 23 essays containing the words Multiple Instance Learning.
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1. Deep Learning Models for Detecting Breast Cancer : A Comparative Study
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Breast cancer is the second leading cause of death for women worldwide. As early detection is vital, new methods for facilitating accurate diagnosis are continuously being developed. READ MORE
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2. Comparing Weak and Strong Annotation Strategies for Multiple Instance Learning in Digital Pathology
University essay from KTH/Skolan för kemi, bioteknologi och hälsa (CBH)Abstract : Prostate cancer is the second most diagnosed cancer worldwide and its diagnosis is done through visual inspection of biopsy tissue by a pathologist, who assigns a score used by doctors to decide on the treatment. However, the scoring system, the Gleason score, is affected by a high inter and intra-observer variability, lack of standardization, and overestimation. READ MORE
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3. Artificial Neural Networks and Inductive Biases for Multi-Instance Multi-Modal Tabular Data : A Case Study for Default Probability Estimation in Small-to-Medium Enterprise Lending
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The success of artificial neural networks in homogeneous data domains such as images, textual data, and audio and other signals has had considerable impact on Machine Learning and science in general. The domain of heterogeneous tabular data, while arguably much more common, remains much less explored with regards to artificial neural networks and deep learning. READ MORE
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4. Offline Direction Clustering of Overlapping Radar Pulses from Homogeneous Emitters
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Within the defence industry, it is essential to be aware of threats in the environment. A potential threat can be detected by identifying certain types of emitters in the surroundings that are typically used in the enemies’ systems. READ MORE
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5. Access Point Selection and Clustering Methods with Minimal Switching for Green Cell-Free Massive MIMO Networks
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : As a novel beyond fifth-generation (5G) concept, cell-free massive MIMO (multiple-input multiple-output) recently has become a promising physical-layer technology where an enormous number of distributed access points (APs), coordinated by a central processing unit (CPU), cooperate to coherently serve a large number of user equipments (UEs) in the same time/frequency resource. However, denser AP deployment in cell-free networks as well as an exponentially growing number of mobile UEs lead to higher power consumption. READ MORE
