Browsing Department of Computer Science and Engineering by Subject "Machine learning"
Now showing items 21-40 of 42
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In Situ Sensor Calibration Using Noise Consistency
(2020-09-08)Robots rely on sensors to map their surroundings. As a result, the accuracy of the map depends heavily on the sensor noise and in particular on accurate knowledge of it. The common way to ... -
Integrative Approaches for Large-scale Biomedical Data Analysis
(2016-12-07)Advancement of the Next Generation Sequencing (NGS), also known as the High Throughput Sequencing (HTS) technologies allow researchers investigate genome, transcriptome, or epigenome of any organism from any perspective, ... -
KOPOS: A FRAMEWORK TO STUDY AND DETECT PHYSICAL AND COGNITIVE FATIGUE CONCURRENTLY
(2021-05-12)Fatigue is one of the most prevalent phenomena in human beings, and yet its detection is highly subjective and poorly understood. The phenomenon of fatigue has a huge impact on performance, the ability to execute tasks ... -
LARGE-SCALE DEEP LEARNING WITH APPLICATION IN MEDICAL IMAGING AND BIO-INFORMATICS
(2018-11-27)With the recent advancement of the deep learning technology in the artificial intelligence area, nowadays people's lives have been drastically changed. However, the success of deep learning technology mostly relies on ... -
Learning Abstractions for Planning
(2020-06-03)Planners for hard problems must exploit domain-specific structure to find solutions efficiently. Yet, hand-engineered solutions and optimizations are often expensive and difficult or impossible to adapt to other problems. ... -
LEARNING FROM WIZARD-OF-OZ USING DYNAMIC USER MODELING
(2017-05-15)Socially assistive robotics (SAR) is a field of study that combines assistive robotics with socially interactive robotics where the goal of the robot is to provide assistance to human users through social interaction. The ... -
Learning Health Information From Floor Sensor Data Within A Pervasive Smart Home Environment
(2020-09-02)Spatial and temporal gait analysis can provide useful measures for determining a person’s state of health while also identifying deviations in day-to-day activity. The SmartCare project is a multi-discipline health ... -
Learning Representations Using Reinforcement Learning
(2019-05-09)The framework of reinforcement learning is a powerful suite of algorithms that can learn generalized solutions to complex decision making problems. However, the applications of reinforcement learning algorithms to traditional ... -
LEARNING ROBOT MANIPULATION TASKS VIA OBSERVATION
(2019-12-06)The coexistence of humans and robots has been the aspiration of many scientific endeavors in the past century. Most anthropomorphic or industrial robots are highly articulated and complex machines, which are designed to ... -
MACHINE LEARNING BASED DATACENTER MONITORING FRAMEWORK
(2016-12-09)Monitoring the health of large data centers is a major concern with the ever-increasing demand of grid/cloud computing and the higher need of computational power. In a High Performance Computing (HPC) environment, the need ... -
Machine Learning Methods for Statistical Analysis and Representation Learning on Neuroimaging Data
(2022-05-17)With the recent advance and widespread adoption of imaging technological innovations, clinical practitioner and scientists can easily acquire and store a large amount of various neuroimaging modalities, such as Diffusion ... -
MACHINE LEARNING METHODS TO IMPROVE FAIRNESS AND PREDICTION ACCURACY ON LARGESOCIALLY RELEVANT DATASETS
(2021-08-16)Machine learning-based decision support systems bring relief to the decision-makers in many domains such as loan application acceptance, dating, hiring, granting parole, insurance coverage, and medical diagnoses. These ... -
Machine Learning: Several Advances in Linear Discriminant Analysis, Multi-View Regression and Support Vector Machine
(2017-04-24)Machine learning technology is now widely used in engineering, science, finance, healthcare, etc. In this dissertation, we make several advances in machine learning technologies for high dimensional data analysis, image ... -
PERSON IDENTIFICATION AND TINETTI SCORE ASSESSMENT USING BALANCE PARAMETERS TO DETERMINE FALL RISK
(2020-09-03)This thesis is aimed at a substantial health problem among the elderly population that is “Fall”, a major cause of accidental home deaths. Studies show approximately one-third of community-dwelling people over 65 years of ... -
Personalization and Data Relation Exploration using Predictive Analytics for the Production and Distributed Analysis System (PanDA)
(2016-08-26)Efficient data distribution among computing centers is one of the biggest challenges in large-scale scientific distributed computing systems. Such data distribution issues include: i) the rational utilization of storage ... -
Randomized and Evolutionary Approaches to Dataset Characterization, Feature Weighting, and Sampling in K-Nearest Neighbors
(2020-06-05)K-Nearest Neighbors (KNN) has remained one of the most popular methods for supervised machine learning tasks. However, its performance often depends on the characteristics of the dataset and on appropriate feature scaling. ... -
SEMI-AUTOMATIC HAND POSE ESTIMATION USING A SINGLE DEPTH CAMERA
(2020-11-30)This paper addresses the problem of 3D hand pose annotations using a single depth camera. Although hand pose estimation methods rely critically on accurate 3D training data, creating such reliable training data is challenging ... -
Social Media Text Analysis using Multi-kernel Convolutional Neural Network
(2019-12-11)Transportation planners and ride hailing platforms such as Uber and Lyft use their riders feedback to assess their services and monitor customer satisfaction. Social media websites such as Facebook, Instagram, LinkedIn and ... -
THINK2ACT: USING MULTIMODAL DATA TO ASSESS HUMAN COGNITIVE AND PHYSICAL PERFORMANCE
(2019-12-10)As computers become more advanced, affordable, and smaller in size, we start to use them in almost every aspect of our daily life. Nowadays, the use of computers is not just limited to accomplish work-related tasks. Instead, ... -
TOWARD DIGITAL PHENOTYPING: HUMAN ACTIVITY REPRESENTATION FOR EMBODIED COGNITION ASSESSMENT
(2023-02-23)Cognition is the mental process of acquiring knowledge and understanding through thought, experience and senses. Based on Embodied Cognition theory, physical activities are an important manifestation of cognitive functions. ...