Essays about: "Multimodal Machine Learning"
Showing result 11 - 15 of 25 essays containing the words Multimodal Machine Learning.
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11. Multimodal Machine Learning in Human Motion Analysis
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Currently, most long-term human motion classification and prediction tasks are driven by spatio-temporal data of the human trunk. In addition, data with multiple modalities can change idiosyncratically with human motion, such as electromyography (EMG) of specific muscles and respiratory rhythm. READ MORE
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12. Primary stage Lung Cancer Prediction with Natural Language Processing-based Machine Learning
University essay from KTH/Skolan för kemi, bioteknologi och hälsa (CBH)Abstract : Early detection reduces mortality in lung cancer, but it is also considered as a challenge for oncologists and for healthcare systems. In addition, screening modalities like CT-scans come with undesired effects, many suspected patients are wrongly diagnosed with lung cancer. READ MORE
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13. Explainable Multimodal Fusion
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Recently, there has been a lot of interest in explainable predictions, with new explainability approaches being created for specific data modalities like images and text. However, there is a dearth of understanding and minimal exploration in terms of explainability in the multimodal machine learning domain, where diverse data modalities are fused together in the model. READ MORE
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14. Product Matching through Multimodal Image and Text Combined Similarity Matching
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Product matching in e-commerce is an area that faces more and more challenges with growth in the e-commerce marketplace as well as variation in the quality of data available online for each product. Product matching for e-commerce provides competitive possibilities for vendors and flexibility for customers by identifying identical products from different sources. READ MORE
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15. Context-based Multimodal Machine Learning on Game Oriented Data for Affective State Recognition
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Affective computing is an essential part of Human-Robot Interaction, where knowing the human’s emotional state is crucial to create an interactive and adaptive social robot. Previous work has mainly been focusing on using unimodal or multimodal sequential models for Affective State Recognition. READ MORE