Essays about: "Interaktiv maskininlärning"
Showing result 1 - 5 of 6 essays containing the words Interaktiv maskininlärning.
-
1. Active learning for text classification in cyber security
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : In the domain of cyber security, machine learning promises advanced threat detection. However, the volume of available unlabeled data poses challenges for efficient data management. This study investigates the potential for active learning, a subset of interactive machine learning, to reduce the effort required for manual data labelling. READ MORE
-
2. ElektroCHAT: A Knowledge Base-Driven Dialogue System for Electrical Engineering Students : A Proposal for Interactive Tutoring
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Universities worldwide face challenges both with students dropping out of educational programmes and repetitive questions directed toward teaching staff which both consume resources and result in delays. Recent progress in natural language processing (NLP) introduces the possibility of more sophisticated dialogue systems that could help alleviate the situation. READ MORE
-
3. 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
-
4. Reciprocal Explanations : An Explanation Technique for Human-AI Partnership in Design Ideation
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Advancements in creative artificial intelligence (AI) are leading to systems that can actively work together with designers in tasks such as ideation, i.e. the creation, development, and communication of ideas. READ MORE
-
5. Interpretability of a Deep Learning Model for Semantic Segmentation : Example of Remote Sensing Application
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Understanding a black-box model is a major problem in domains that relies on model predictions in critical tasks. If solved, can help to evaluate the trustworthiness of a model. This thesis proposes a user-centric approach to black-box interpretability. READ MORE