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FROM TEXT CLASSIFICATION TO IMAGE CLUSTERING, PROBLEMS LESS OPTIMIZED
(2018-06-11)
Machine Learning is thriving. Every industry is using its techniques in some way to improve their efficiency and revenue. However, the focus on research is not divided equally between all of the different areas and problems ...
Supervised Sparse Learning with Applications in Bioinformatics
(2018-08-23)
In machine learning and mathematical optimization, sparse learning is the use of mathematical norms such as L1-norm, group norm and L21-norm in order to seek a trade-off between the goodness-of-fit measure and sparsity of ...
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 ...
Exploring Deep Learning in Finance
(2022-05-20)
Financial market analysis is process of analyzing market closely and predict the next move of market whether it will go up or down using historical data. Financial market is stochastic and has rapid changes over time, ...
GENERATING ADVERSARIAL EXAMPLES FOR RECRUITMENT RANKING ALGORITHMS
(2020-12-16)
There is no doubt that recruitment process plays an important role for both employers and applicants. Based on huge number of job candidates and open vacancies, recruitment process is expensive, time consuming and stressful ...
HUMAN FACTORS ANALYSIS AND MONITORING TO ENHANCE HUMAN-ROBOT COLLABORATION
(2021-05-11)
Human-Machine Interaction (HMI) can be defined as a way for us to communicate with machines through user interfaces. User interfaces have evolved from complicated punch cards and levers in the first analog computers to a ...
ADAPTIVE HUMAN-ROBOT MOTION TRANSFER FOR COMPLETE BODY IMITATION
(2022-01-06)
Programming robot systems to perform certain tasks is a big challenge especially if such programming is to be performed by persons who are not experts in robotics. For example, when programming a robot to serve as an ...
REAL-TIME MATERIAL STATE ASSESSMENT OF COMPOSITES USING ARTIFICIAL INTELLIGENCE AND ITS CHALLENGES
(2021-05-09)
Over several decades of careful experimental investigation and exhaustive development of discrete damage analysis methods including integrated computational mechanics methods, our community knows a great deal about how ...
DATA-DRIVEN DECISION MAKING AND CONTROL OF RATIONAL AGENTS
(2021-05-07)
This dissertation studies the problem of data-driven optimal decision making. The 4main contributions of this work are listed here. First, we develop a model-based and data-driven techniques for learning the cost of an ...
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 ...