Search for dissertations about: "explainable"

Showing result 1 - 5 of 39 swedish dissertations containing the word explainable.

  2. 1. Structured Representations for Explainable Deep Learning

    Author : Federico Baldassarre; Hossein Azizpour; Josephine Sullivan; Kevin Smith; Hamed Pirsiavash; KTH; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Explainable AI; Deep Learning; Self-supervised Learning; Transformers; Graph Networks; Computer Vision; Explainable AI; Deep Learning; Self-supervised Learning; Transformers; Graph Networks; Computer Vision; Datalogi; Computer Science;

    Abstract : Deep learning has revolutionized scientific research and is being used to take decisions in increasingly complex scenarios. With growing power comes a growing demand for transparency and interpretability. The field of Explainable AI aims to provide explanations for the predictions of AI systems. READ MORE

  4. 2. Pointwise Maximal Leakage : Robust, Flexible and Explainable Privacy

    Author : Sara Saeidian; Tobias J. Oechtering; Mikael Skoglund; Giulia Cervia; Catuscia Palamidessi; KTH; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; Privacy; information leakage; pointwise maximal leakage; disclosure prevention; inferential privacy; mechanism design.; Dataintegritet; informationsläckage; punktvist maximalt läckage; avslöjningsprevention; inferentiell dataintegritet; mekanismdesign.; Electrical Engineering; Elektro- och systemteknik;

    Abstract : For several decades now, safeguarding sensitive information from disclosure has been a key focus in computer science and information theory. Especially, in the past two decades, the subject of privacy has received significant attention due to the widespread collection and processing of data in various facets of society. READ MORE

  5. 3. Visual Analytics for Explainable and Trustworthy Machine Learning

    Author : Angelos Chatzimparmpas; Andreas Kerren; Rafael M. Martins; Ilir Jusufi; Alex Endert; Linnéuniversitetet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; visualization; interaction; visual analytics; explainable machine learning; XAI; trustworthy machine learning; ensemble learning; dimensionality reduction; supervised learning; unsupervised learning; ML; AI; tabular data; visualisering; interaktion; visuell analys; förklarlig maskininlärning; XAI; pålitlig maskininlärning; ensembleinlärning; dimensionesreducering; övervakad inlärning; oövervakad inlärning; ML; AI; tabelldata; Computer Science; Datavetenskap; Informations- och programvisualisering; Information and software visualization;

    Abstract : The deployment of artificial intelligence solutions and machine learning research has exploded in popularity in recent years, with numerous types of models proposed to interpret and predict patterns and trends in data from diverse disciplines. However, as the complexity of these models grows, it becomes increasingly difficult for users to evaluate and rely on the model results, since their inner workings are mostly hidden in black boxes, which are difficult to trust in critical decision-making scenarios. READ MORE

  6. 4. Explainable and Interpretable Decision-Making for Robotic Tasks

    Author : Maximilian Diehl; Chalmers tekniska högskola; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; Failure explanation; Causality; Explainability; Interpretability;

    Abstract : Future generations of robots, such as service robots that support humans with household tasks, will be a pervasive part of our daily lives. The human's ability to understand the decision-making process of robots is thereby considered to be crucial for establishing trust-based and efficient interactions between humans and robots. READ MORE

  7. 5. Explainable Artificial Intelligence for Enhancing Transparency in Decision Support Systems

    Author : Mir Riyanul Islam; Mobyen Uddin Ahmed; Shahina Begum; Kerstin Bach; Mälardalens universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Computer Science; datavetenskap;

    Abstract : Artificial Intelligence (AI) is recognized as advanced technology that assist in decision-making processes with high accuracy and precision. However, many AI models are generally appraised as black boxes due to their reliance on complex inference mechanisms. READ MORE