Essays about: "Post- hoc Explainability"
Found 5 essays containing the words Post- hoc Explainability.
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1. Explainable Artificial Intelligence and its Applications in Behavioural Credit Scoring
University essay from Stockholms universitet/Institutionen för data- och systemvetenskapAbstract : Credit scoring is critical for banks to evaluate new loan applications and monitor existing customers. Machine learning has been extensively researched for this case; however, the adoption of machine learning methods is minimal in financial risk management. READ MORE
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2. Explainability Methods for Transformer-based Artificial Neural Networks: : a Comparative Analysis
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The increasing complexity of Artificial Intelligence (AI) models is accompanied by an increase in difficulty in interpreting model predictions. This thesis work provides insights and understanding of the differences and similarities between explainability methods for AI models. READ MORE
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3. Explainability of Machine Learning in Forecasts for Retail Sales Campaigns
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Explainable artificial intelligence is a growing field which is becoming increasingly important as machine learning is more integrated in businesses and various functions in society. A rising concern is the lack of transparency in decision-making processes for a substantial number of machine learning models. READ MORE
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4. Explainable AI techniques for sepsis diagnosis : Evaluating LIME and SHAP through a user study
University essay from Högskolan i Skövde/Institutionen för informationsteknologiAbstract : Articial intelligence has had a large impact on many industries and transformed some domains quite radically. There is tremendous potential in applying AI to the eld of medical diagnostics. A major issue with applying these techniques to some domains is an inability for AI models to provide an explanation or justication for their predictions. READ MORE
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5. Using Opaque AI for Smart Grids
University essay from Lunds universitet/Institutionen för informatikAbstract : Deep learning is an emerging machine learning technique which can find complex patterns in large amounts of data. This makes it useful for several applications in smart grids, which often involve the processing of large amounts of data. READ MORE