Sökning: "Box Score"

Visar resultat 1 - 5 av 20 uppsatser innehållade orden Box Score.

1. 1. Towards gradient faithfulness and beyond

   Master-uppsats, Högskolan i Halmstad/Akademin för informationsteknologi

   Författare :Vincenzo Buono; Isak Åkesson; [2023]
   Nyckelord :XAI; Visual Explanations; CAM; Grad-CAM; Expected Grad-CAM; Hyper Expected Grad; Class Activation Maps; Explainable AI; Faithfulness; Neural Network interpretability; Hyper Resolution CAM; Super Resolution CAM; Natural Encoding;

   Sammanfattning : The riveting interplay of industrialization, informalization, and exponential technological growth of recent years has shifted the attention from classical machine learning techniques to more sophisticated deep learning approaches; yet its intrinsic black-box nature has been impeding its widespread adoption in transparency-critical operations. In this rapidly evolving landscape, where the symbiotic relationship between research and practical applications has never been more interwoven, the contribution of this paper is twofold: advancing gradient faithfulness of CAM methods and exploring new frontiers beyond it. LÄS MER

3. 2. Towards Building Privacy-Preserving Language Models: Challenges and Insights in Adapting PrivGAN for Generation of Synthetic Clinical Text

   Master-uppsats, Stockholms universitet/Institutionen för data- och systemvetenskap

   Författare :Atena Nazem; [2023]
   Nyckelord :Generative Adversarial Networks; privacy-preserving language models; clinical text data; reinforcement learning; synthetic data;

   Sammanfattning : The growing development of artificial intelligence (AI), particularly neural networks, is transforming applications of AI in healthcare, yet it raises significant privacy concerns due to potential data leakage. As neural networks memorise training data, they may inadvertently expose sensitive clinical data to privacy breaches, which can engender serious repercussions like identity theft, fraud, and harmful medical errors. LÄS MER

4. 3. Developing a highly accurate, locally interpretable neural network for medical image analysis

   Master-uppsats, Stockholms universitet/Institutionen för data- och systemvetenskap

   Författare :Rony David Ventura Caballero; [2023]
   Nyckelord :XAI; Interpretability; Computer vision; Pediatric pneumonia; Chest radiograph;

   Sammanfattning : Background Machine learning techniques, such as convolutional networks, have shown promise in medical image analysis, including the detection of pediatric pneumonia. However, the interpretability of these models is often lacking, compromising their trustworthiness and acceptance in medical applications. LÄS MER

5. 4. Development and Usability Evaluationof Visualized architecture(GUI) - A case study

   Uppsats för yrkesexamina på avancerad nivå, Blekinge Tekniska Högskola/Institutionen för programvaruteknik

   Författare :Viveshini Mallipedhi; [2023]
   Nyckelord :Usability; Visualization; Software Architecture; User queries;

   Sammanfattning : Background: Working with complex software architectures involves several challenges(hard to comprehend, time-consuming), and that is where visualization comesinto place. Visualizing the architecture allows the stakeholders to comprehend andcommunicate with the software architecture of complex systems. LÄS MER

7. 5. Road damage detection withYolov8 on Swedish roads

   Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen för beräkningsvetenskap

   Författare :Martin Eriksson; [2023]
   Nyckelord :Ensemble learning; Object Detection; Yolov8; Yolov5; Object Detection on smartphone;

   Sammanfattning : This thesis addresses the problem of Road Damage Detection using object detection models,Yolov8 and Yolov5. While Yolov5 has been utilized in prior road damage detection projects, thiswork introduces the application of the newly released Yolov8 model to this domain. LÄS MER