Department of Computer Science and Engineering: Recent submissions
Now showing items 41-60 of 606
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Understanding human actions: Cognitive assessment and action segmentation using human object interaction
(2022-11-07)Automatic understanding of human behavior has several applications in medicine and surveillance. Analysing human actions can enable cognitive assessment of children by measuring their hyperactivity and response inhibition ... -
Effective Sequence Models and Graph Neural Networks for Molecular Data Analysis
(2022-08-16)Drug discovery is the process of discovering new candidate medications. New drugs are continually developed by pharmaceutical industries to address increasing medical needs. Drug discovery involves a series of processes ... -
TOWARDS SECURITY AWARE CROWDSOURCING
(2022-08-01)Crowdsourcing has emerged as a novel problem-solving paradigm, which facilitates addressing problems by outsourcing them to the crowd. The openness of crowdsourcing renders it vulnerable to misbehaving workers that impair ... -
Towards high performance cancer staging from histology images
(2022-08-16)Digital Pathology (DP) has been recently used in replacement to traditional microscopy samples as it easy to navigate and can be analysed, processed and saved. With the invention of Digital pathology, there has been ... -
DEEP LEARNING FOR PROTEIN PROPERTY AND STRUCTURE PREDICTION
(2022-08-15)I present my work towards solving the fundamental, challenging, and valuable problem for protein property and structure prediction. Specifically, I focus on solving the problem from three critical aspects: (1) designing ... -
Semi Automatic Hand Pose Annotation using a Single Depth Camera
(2022-08-05)This thesis investigates the problem of 3D hand pose annotation using a single depth camera. While hand pose annotations are critically important for training deep neural networks, creating such reliable training data is ... -
GAN-Based Domain Translation for Hand Pose Estimation and Face Reconstruction
(2022-08-05)Deep learning solutions for hand pose estimation are now very reliant on comprehensive datasets covering diverse camera perspectives, lighting conditions, shapes, and pose variations. Since, acquiring such datasets is a ... -
HAND ANALYSIS FROM DEPTH IMAGES
(2022-08-23)Hand analysis using vision systems is necessary for interaction between people and digital devices and thus is crucial in many applications relating to computer vision and human computer interaction (HCI). The proposed ... -
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 ... -
MODELING FACTUAL CLAIMS WITH SEMANTIC FRAMES: DEFINITIONS, DATASETS, TOOLS, AND FACT-CHECKING APPLICATIONS
(2021-08-26)As social media sites have become major channels for the quick dissemination of news, misinformation has become a significant challenge for our society to tackle. Today fact-checking rests primarily on the shoulders of ... -
GLAZE EPOCHS: EXTERNALIZING MATERIAL KNOWLEDGE THROUGH TANGIBLE DATA RECORDS IN A CERAMICS STUDIO
(2021-05-11)The "material turn" in HCI has placed a renewed focus on informing design from the relationships found in material-based interactions. While several ethnographic works provide insight into how practitioners converse with ... -
DEEP REPRESENTATION LEARNING ON GIGA-PIXEL WHOLE SLIDE IMAGES
(2020-05-21)I present my work towards solving the fundamental, challenging and valuable problem for automatically processing the giga-pixel level whole slide pathology images (WSIs): the representation of them. Specifically, I target ... -
TaPIN: A Two-Factor User Authentication Scheme for Smartwatches through Secret Finger Tapping
(2020-05-11)Nowadays, smartwatches have become one of the most common wearable gadgets as they are small and portable. As more and more personal information is managed and processed inside smartwatches, it is important to have a secure ... -
DISTRACTION DETECTION AND INTENTION RECOGNITION FOR GESTURE-CONTROLLED UNMANNED AERIAL VEHICLE OPERATION
(2022-05-17)Gesture Control as a way to replace more conventional remote-control operations has been pursued for a significant period of time with different levels of success. The use of gestures to control different types of human ... -
Detection and classification of object presence and characteristics in a water container using high frequency ultrasound
(2022-05-17)Detection and characterization of soluble, diffuse, and solid objects and their characteristics in water has important implications in various applications, including water quality assessment and incontinence monitoring ... -
A NON-CONTACT BASED SYSTEM TO MEASURE SPO2 AND SYSTOLIC/DIASTOLIC BLOOD PRESSURE USING RGB-NIR CAMERA
(2022-05-18)In recent times, people have increasingly self-assessed their health using different devices on their bodies that monitor physiological attributes such as their oxygen level and blood pressure (BP) to monitor their health. ... -
“Strict Moderation?” The Impact of Increased Moderation on Parler Content and User Behavior
(2022-05-18)Social media platforms have brought people from different backgrounds, ethnicity, race, gender, etc together to form a platform to share ideas and opinions and discuss news events among other social events. Unfortunately, ... -
A COMBINATORIAL APPROACH TO FAIRNESS TESTING OF MACHINE LEARNING MODELS
(2022-05-16)Machine Learning (ML) models could exhibit biased behavior, or algorithmic discrimination, resulting in unfair or discriminatory outcomes. The bias in the ML model could emanate from various factors such as the training ... -
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 ...