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DOCTOR-PATIENT REAL TIME CHAT APPLICATION
During the pandemic, the majority of the working population spent most of their
time doing sedentary desk jobs. As a result, they may have developed inadequate spine
posture, which can cause profound implications such ...
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 ...
DEEPSIGN: A DEEP-LEARNING ARCHITECTURE FOR SIGN LANGUAGE
(2018-11-13)
Sign languages are used by deaf people for communication. In sign languages, humans use hand gestures, body, facial expressions and movements to convey meaning. Humans can easily learn and understand sign languages, but ...
Artificial Intelligence For Cognitive Behavior Assessment In Children
(2018-06-25)
Cognitive impairments in early childhood can lead to poor academic performance and require proper remedial intervention at the appropriate time. ADHD affects about 6-7% of children and is a psychiatric neurodevelopmental ...
Automated multistep classifier sizing and training for deep learner
(2018-08-13)
Training algorithms for deep learning have recently been proposed with notable success, beating the start-of-the-art in certain areas like audio, speech and language processing. The key role is played by learning multiple ...
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 ...
TOWARDS END-TO-END SEMI-SUPERVISED DEEP LEARNING FOR DRUG DISCOVERY
(2018-11-26)
Observing the recent progress in Deep Learning, the employment of AI is surging to accelerate drug discovery and cut R&D costs in the last few years. However, the success of deep learning is attributed to large-scale clean ...
Deep Learning for Recognition of Objects, Activities, Faces, and Spatio-Temporal Patterns
A popular method in machine learning is Convolutional Neural Network (CNN). CNN had was of high interest to the research community in the 1990s, but after that its popularity receded compared to the Support Vector Machine ...
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 ...