Search
Now showing items 1-10 of 10
Towards Automated Understanding of Laparoscopic Videos
(2019-08-09)
Despite the advantages of minimally invasive surgeries, the indirect access and lack of the 3D field of view of the area of interest introduce complications in the procedures. Fortunately, the recorded videos from the ...
Convex and Non-convex Optimization Methods for Machine Learning
(2019-08-01)
This dissertation is concerned with modeling fundamental and challenging machine learning tasks as convex/non-convex optimization problems and designing a mechanism that could solve them in a cost and time-effective manner. ...
LEARNING FOR CLINICAL OUTCOME PREDICTION FROM BIG MEDICAL DATA
(2019-08-09)
With the advance of recent technological innovations, nowadays scientists can easily capture and store tremendous amounts of different types of medical data such as Computed Tomography (CT), Magnetic Resonance Imaging ...
Deep Reinforcement Learning-based Portfolio Management
(2019-05-16)
Machine Learning is at the forefront of every field today. The subfields of Machine Learning called Reinforcement Learning and Deep Learning, when combined have given rise to advanced algorithms which have been successful ...
ULTRA-CONTEXT: MAXIMIZING THE CONTEXT FOR BETTER IMAGE CAPTION GENERATION
(2019-05-07)
Several combinations of visual and semantic attention have been geared towards developing better image captioning architectures.
In this work we introduce a novel combination of word-level semantic context with image ...
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 ...
Feature Extraction In Noise-Diverse Environments For Human Activities Recognition Using Wi-Fi
(2019-12-04)
With the rapid development of 802.11 standard and Internet of Things (IoT) applications, Wi-Fi (IEEE 802.11) has emerged as the most widely used wireless communication technology. Wi-Fi based sensing has found widespread ...
FROM BODY TO BRAIN: USING ARTIFICIAL INTELLIGENCE TO IDENTIFY USER SKILLS & INTENTIONS IN INTERACTIVE SCENARIOS
(2019-04-23)
Artificial Intelligence has probably been the most rapidly evolving field of science during the last decade. Its numerous real-life applications have radically altered the way we experience daily-living with great impact ...