Essays about: "computer science - biology"

Showing result 1 - 5 of 12 essays containing the words computer science - biology.

1. 1. Trainable Region of Interest Prediction: Hard Attention Framework for Hardware-Efficient Event-Based Computer Vision Neural Networks on Neuromorphic Processors

   University essay from Lunds universitet/Institutionen för elektro- och informationsteknik

   Author : Cina Arjmand; [2023]
   Keywords : Artifical Intelligence; Machine Learning; Neuromorphic Engineering; Computer Vision; Technology and Engineering;

   Abstract : Neuromorphic processors are a promising new type of hardware for optimizing neural network computation using biologically-inspired principles. They can effectively leverage information sparsity such as in images from event-based cameras, and are well-adapted to processing event-based data in an energy-efficient fashion. READ MORE

3. 2. Swedish Stock and Index Price Prediction Using Machine Learning

   University essay from Mälardalens universitet/Akademin för utbildning, kultur och kommunikation

   Author : Henrik Wik; [2023]
   Keywords : Stock Price Prediction; Machine Learning; Time Series Analysis; Linear Regression; K-Nearest Neighbors; Random Forest; Support Vector Machines; Neural Networks;

   Abstract : Machine learning is an area of computer science that only grows as time goes on, and there are applications in areas such as finance, biology, and computer vision. Some common applications are stock price prediction, data analysis of DNA expressions, and optical character recognition. READ MORE

4. 3. Messing With The Gap: On The Modality Gap Phenomenon In Multimodal Contrastive Representation Learning

   University essay from Uppsala universitet/Industriell teknik

   Author : Mohammad Al-Jaff; [2023]
   Keywords : Multimodal machine learning; Representation learning; Self-supervised learning; contrastive learning; computer vision; computational biology; bioinformatics;

   Abstract : In machine learning, a sub-field of computer science, a two-tower architecture model is a specialised type of neural network model that encodes paired data from different modalities (like text and images, sound and video, or proteomics and gene expression profiles) into a shared latent representation space. However, when training these models using a specific contrastive loss function, known as the multimodalinfoNCE loss, seems to often lead to a unique geometric phenomenon known as the modality gap. READ MORE

5. 4. Designing an algorithm to build communities by combining semi-cliques spanning multiple graphs

   University essay from Uppsala universitet/Institutionen för informationsteknologi

   Author : Tyson McLeod; [2021]
   Keywords : ;

   Abstract : Community detection is an important graph mining task and one of the most researched problems in its field of study. One reason for this is its applicability in a variety of disciplines ranging from biology to computer science. READ MORE

6. 5. A mixed clinicopathological and molecular proxy of homologous recombination deficiency in triple negative breast cancer

   University essay from Lunds universitet/Examensarbeten i bioinformatik

   Author : Elise Walford; [2021]
   Keywords : Biology and Life Sciences;

   Abstract : Clinical models are increasingly employed in medical science as either diagnostic or prognostic aids. Machine-learning methods are able to draw links in large data that can be used to predict patient risk and allow more informed decisions regarding treatment and medication intervention. READ MORE