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Evaluating the Accuracy of Gaze Detection for Moving Character
(2020-08-03)
Joint attention, where a caregiver and an infant follow each other’s eye gaze plays an important role in the learning of language for new-born infants. To study joint attention, it is required to record and analyze the ...
Classification of Factual and Non-Factual Statements Using Adversarially Trained LSTM Networks
(2020-06-08)
Being able to determine which statements are factual and therefore likely candidates for further verification is a key value-add in any automated fact-checking system. For this task, it has been shown that LSTMs outperform ...
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 ...
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 ...
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 ...
Approximate Query Processing Using Deep Learning and Database Techniques
(2022-12-15)
Data is generated at an unprecedented rate surpassing our ability to analyze them.
In real applications, it is often impractical to find an exact answer by traversing the entire data.
As a result, Approximate Query ...
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 ...
Efficient Algorithms and Human-in-the-loop Approaches for Attribute Design and Selection
(2022-04-14)
Feature engineering and feature selection are two important aspects of data science pipeline. Due to the advancement of data collection techniques in recent years, huge amount of data is becoming available in different ...