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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 ...
DOMAIN ADAPTIVE TRANSFER LEARNING FOR VISUAL CLASSIFICATION
(2021-08-16)
Deep Neural Networks have made a significant impact on many computer vision applications with large-scale labeled datasets. However, in many applications, it is expensive and time-consuming to gather large-scale labeled ...
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, ...
Road map generation and feature extraction algorithms from GPS trajectories and Trajectories Data warehousing
(2020-11-05)
Advanced technologies in location acquisition allow us to track the movement of moving objects (people, planes, vehicles, animals, ships, ..) in geographical space. These technologies generate a vast amount of trajectory ...
Multiscale Modeling and Simulation of Clutter in ISAR Imaging
(2020-05-05)
Clutter is common in applications of radar imaging and can adversely impact target imaging by contributing scattered energy that is not accounted for in target signal models. One potential source of clutter is moving ...
Efficient Network Design for High Dimensional Data
(2020-05-14)
Due to the powerful feature representation capabilities, deep learning has became a powerful tool in the field of computer vision. Especially in the aspect of high-dimensional images, deep learning can achieve fast inference ...
SEMI-SUPERVISED DEEP LEARNING WITH APPLICATIONS IN SURGICAL VIDEO ANALYSIS AND BIOINFORMATICS
(2020-05-14)
In the current era of big data, deep learning has been the state-of-the-art model for various applications. Image-based applications such as image classification, object detection, image segmentation, benefit most from ...
MULTIVARIATE TIME SERIES PATTERN RECOGNITION USING MACHINE LEARNING AND DEEP LEARNING METHODS
(2019-12-16)
In this research work, we have implemented machine learning & deep-learning algorithms on real-time multivariate time series datasets in the manufacturing & health care fields. The research work is organized in two ...
COMPREHENSIVE STUDY OF GENERATIVE METHODS ON DRUG DISCOVERY
(2019-12-09)
Observing the recent success of the deep learning (DL) technology in multiple life-changing application areas, e.g., autonomous driving, image/video search and discovery, natural language processing, etc., many new ...
Deep Representation Learning for Clustering and Domain Adaptation
(2019-12-05)
Representation learning is a fundamental task in the area of machine learning which can significantly influence the performance of the algorithms used in various applications. The main goal of this task is to capture the ...