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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 ...
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 ...
INCOMPLETE TIME SERIES FORECASTING USING GENERATIVE NEURAL NETWORKS
(2020-12-07)
Dealing with missing data is a long pervading problem and it becomes more challenging when forecasting time series data because of the complex relationships between data and time, which is why incomplete data can lead to ...
GENERATING ADVERSARIAL EXAMPLES FOR RECRUITMENT RANKING ALGORITHMS
(2020-12-16)
There is no doubt that recruitment process plays an important role for both employers and applicants. Based on huge number of job candidates and open vacancies, recruitment process is expensive, time consuming and stressful ...
LINK PREDICTION BASED FACE CLUSTERING USING VARIATIONAL ATTENTIONAL GRAPH AUTOENCODER
(2020-12-01)
In this work, we address the problem of clustering faces according to their individual
identities present inherently in the dataset.The current clustering frameworks are either
based on some heuristic method or require ...
EARLY DETECTION OF GLAUCOMA USING MODIFIED RESIDUAL U-NET CONVOLUTIONAL NEURAL NETWORK
(2020-12-07)
Glaucoma is the second leading cause of blindness all over the world, with
apparently 75 million cases reported worldwide in 2018. If it’s not diagnosed at
an early stage, glaucoma may cause irreversible damage to the optic ...
Using ChebConv and B-Spline GNN models for Solving Unit Commitment and Economic Dispatch in a day ahead Energy Trading Market based on ERCOT Nodal Model
(2020-05-22)
Spectral Convolutions and B-Spline Graph Neural Network techniques have been used in past to learn embeddings in various complex, multidimensional structured knowledge graphs like genetics, social networks, geometric shapes ...
3D SKELETON CONSTRUCTION FROM MULTIPLE CAMERA VIEWS FOR QUANTIFYING GAIT PARAMETERS
(2020-06-05)
Research has shown that human gait characteristics permit inference with respect to different personal and health characteristics and can thus be used as a diagnostic tool. To do this automatically it is important to be ...
Randomized and Evolutionary Approaches to Dataset Characterization, Feature Weighting, and Sampling in K-Nearest Neighbors
(2020-06-05)
K-Nearest Neighbors (KNN) has remained one of the most popular methods for supervised machine learning tasks. However, its performance often depends on the characteristics of the dataset and on appropriate feature scaling. ...