Essays about: "risk graph"

Showing result 1 - 5 of 29 essays containing the words risk graph.

  1. 1. Control Aid Implementation -Modelling and simulation of triple extruder-

    University essay from Lunds universitet/Kemiteknik (CI)

    Author : Karl Langsér; [2023]
    Keywords : Machine Learning; Extruder; Modelling; Simulation; Extreme learning machine; Chemical engineering; Technology and Engineering;

    Abstract : In the production of their High Voltage Direct Current Cables (HVDC) and High Voltage Alternating Current Cables (HVAC), NKT uses triple extruders to create layers of insulation and semi-conduction. A model to predict the effect of extruder inputs on the cable’s insulation and semi-conducting layers has been created and trained to predict the extruder in discrete time. READ MORE

  3. 2. RNN-based Graph Neural Network for Credit Load Application leveraging Rejected Customer Cases

    University essay from Högskolan i Halmstad/Akademin för informationsteknologi

    Author : Oskar Nilsson; Benjamin Lilje; [2023]
    Keywords : Machine Learning; Deep Learning; Reject Inference; GNN; GCN; Graph Neural Networks; RNN; Recursive Neural Network; LSTM; Semi-Supervised Learning; Encoding; Decoding; Feature Elimination;

    Abstract : Machine learning plays a vital role in preventing financial losses within the banking industry, and still, a lot of state of the art and industry-standard approaches within the field neglect rejected customer information and the potential information that they hold to detect similar risk behavior.This thesis explores the possibility of including this information during training and utilizing transactional history through an LSTM to improve the detection of defaults. READ MORE

  4. 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)

    Author : Gustav Röhss; [2022]
    Keywords : ;

    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

  5. 4. Accuracy evaluation of using Graph Theory metrics for functional connectivity analysis MCI classification

    University essay from KTH/Datavetenskap

    Author : Pablo Urquijo Martínez; [2022]
    Keywords : ;

    Abstract : Mild Cognitive Impairment (MCI) is an intermediate stage between the physiological cognitive deterioration due to ageing and a nonphysiological stage of dementia. MCI has morbidity between 12% and 18% of the population aged over 65 [1]. READ MORE

  6. 5. Hierarchical Portfolio Allocation with Community Detection

    University essay from KTH/Matematik (Avd.)

    Author : Kiar Fatah; Taariq Nazar; [2022]
    Keywords : Portfolio Allocation; Hierarchical Clustering; Graph Theory; Community Detection; Modern Portfolio Theory; Portföljallokering; Hierarkisk klustring; Grafteori; Community Detection; Modern Portföljteori;

    Abstract : Traditionally, practitioners use modern portfolio theory to invest optimally. Its appeal lies in its mathematical simplicity and elegance. However, despite its beauty, the theory it is plagued with many problems, which are in combination called the Markowitz curse. READ MORE