Search for dissertations about: "Jiang Lili"

Showing result 1 - 5 of 7 swedish dissertations containing the words Jiang Lili.

  2. 1. Context-based explanations for machine learning predictions

    Author : Sule Anjomshoae; Lili Jiang; Vicenç Torra; Maria Riveiro; Umeå universitet; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Explainable AI; explainability; interpretability; black-box models; deep learning; neural networks; contextual importance; Computer Science; datalogi;

    Abstract : In recent years, growing concern regarding trust in algorithmic decision-making has drawn attention to more transparent and interpretable models. Laws and regulations are moving towards requiring this functionality from information systems to prevent unintended side effects. READ MORE

  4. 2. Data driven crop disease modeling

    Author : Priyamvada Shankar; Marcus Liwicki; Foteini Liwicki; Lili Jiang; Luleå tekniska universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; LANTBRUKSVETENSKAPER; AGRICULTURAL SCIENCES; Crop Disease Prediction; Precision Agriculture; Digital Farming; Artificial Intelligence; Machine learning; Maskininlärning; Machine Learning;

    Abstract : The concept of precision farming deals with the creation and use of data from machinery and sensors on and off the field to optimize resources and sustainably intensify food production to keep up with increasing demand. However, in the face of a growing amount of data being collected, smarter data processing and analysis techniques are needed and have prompted the evaluation and incorporation of artificial intelligence (AI) and machine learning (ML) techniques for multiple use cases right from seeding to harvesting. READ MORE

  5. 3. Application-aware resource management for datacenters

    Author : Abel Pinto Coelho de Souza; Johan Tordsson; Andreas Hellander; Per-Håkan Lundow; Lili Jiang; Umeå universitet; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Resource Management; High Performance Computing; Cloud Computing; Computer Science; datalogi;

    Abstract : High Performance Computing (HPC) and Cloud Computing datacenters are extensively used to steer and solve complex problems in science, engineering, and business, such as calculating correlations and making predictions. Already in a single datacenter server, there are thousands of hardware and software metrics – Key Performance Indicators (KPIs) – that individually and aggregated can give insight in the performance, robustness, and efficiency of the datacenter and the provisioned applications. READ MORE

  6. 4. Distributed and federated learning of support vector machines and applications

    Author : Shirin Tavara; Alexander Schliep; Alexander Karlsson; Lili Jiang; Högskolan i Skövde; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; Skövde Artificial Intelligence Lab SAIL ; Skövde Artificial Intelligence Lab SAIL ;

    Abstract : Machine Learning (ML) has achieved remarkable success in solving classification, regression, and related problems over the past decade. In particular the exponential growth of digital data, makes using ML inevitable and necessary to exploit the wealth of information hidden inside the data. READ MORE

  7. 5. Privacy-awareness in the era of Big Data and machine learning

    Author : Xuan-Son Vu; Lili Jiang; Erik Elmroth; Umeå universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Differential Privacy; Machine Learning; Deep Learning; Big Data; datalogi; Computer Science;

    Abstract : Social Network Sites (SNS) such as Facebook and Twitter, have been playing a great role in our lives. On the one hand, they help connect people who would not otherwise be connected before. READ MORE