Essays about: "multi-task network"

Showing result 1 - 5 of 9 essays containing the words multi-task network.

  1. 1. Multi-task regression QSAR/QSPR prediction utilizing text-based Transformer Neural Network and single-task using feature-based models

    University essay from Linköpings universitet/Statistik och maskininlärning

    Author : Spyridon Dimitriadis; [2021]
    Keywords : multi-task regression; QSAR; QSPR; deep learning; attention based models; transfer learning;

    Abstract : With the recent advantages of machine learning in cheminformatics, the drug discovery process has been accelerated; providing a high impact in the field of medicine and public health. Molecular property and activity prediction are key elements in the early stages of drug discovery by helping prioritize the experiments and reduce the experimental work. READ MORE

  2. 2. Multi-Task Convolutional Learning for Flame Characterization

    University essay from Linköpings universitet/Statistik och maskininlärning

    Author : Obaid Ur Rehman; [2020]
    Keywords : Multi task learning; multi task convolutional learning; transfer learning; VGG16; CNN; convolutional neural networks; MTL; MTL CNN;

    Abstract : This thesis explores multi-task learning for combustion flame characterization i.e to learn different characteristics of the combustion flame. We propose a multi-task convolutional neural network for two tasks i.e. READ MORE

  3. 3. Automated bone segmentation in computed tomography using deep learning with distance maps

    University essay from Lunds universitet/Matematik LTH

    Author : Julius Åkesson; [2020]
    Keywords : deep learning; distance maps; Mathematics and Statistics;

    Abstract : 3D-models of bone structures from computed tomography (CT) data can be used for surgical planning, education and a wide range of other purposes. They can also be used in both digital and 3D-printed format. The currently used process to obtain such models consists of a combination of thresholding, morphological operations and manual adjustments. READ MORE

  4. 4. Deep Active Learning for 3D Object Detection for Autonomous Driving

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Xiao Wei; [2019]
    Keywords : ;

    Abstract : 3D object detection is vital for autonomous driving. However, to train a 3D detector often requires a huge amount of labeled data which are extremely expensive and tedious to obtain. READ MORE

  5. 5. Multi-Task Learning using Road Surface Condition Classification and Road Scene Semantic Segmentation

    University essay from Linköpings universitet/Institutionen för medicinsk teknik

    Author : Jesper Westell; [2019]
    Keywords : Computer Vision; Deep Learning; Machine Learning; Convolutional Neural Networks; Classification; Semantic Segmentation;

    Abstract : Understanding road surface conditions is an important component in active vehicle safety. Estimations can be achieved through image classification using increasingly popular convolutional neural networks (CNNs). READ MORE