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Conference Papers 2022

Conference Papers 2022

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Predictive Tool to Overcome Negative Thinking of Employees with Anxiety

Ananda, Kalana Gayantha; Ratnayake, Gayashini Shyanka (IEEE, 2022)

Among significant portion of the population, anxiety disorder can be considered as the most prominent psychological condition. Anxiety may limit many people's activities and make it difficult for them to enjoy their lives. ...
Evol-AutoNN: Evolutionary Automation of Neural Network

Sivapathasundaram, Janakan; Poravi, Guhanathan (IEEE, 2022)

As the domain of data science keeps on growing it leads to the need for a tool that breaks the barriers for non-experts to get into the field of data science. In this paper, we introduce the project of automating the neural ...
A Systematic Literature Review of Machine Learning based Approaches on Pathology Detection in Gastrointestinal Endoscopy

Gunaratna, Dinisuru Nisal; Fernando, Pumudu (IEEE, 2022)

Endoscopy is the most widely adhered medical procedure used to examine the gastrointestinal tract of a person. Accurate pathology detection during the endoscopic procedure is crucial as misidentifications or miss rates ...
A Visually Interpretable Forensic Deepfake Detection Tool Using Anchors

Jayakumar, Krishnakripa (IEEE, 2022)

“Deepfakes” have seen a dramatic rise in recent times and are becoming quite realistic and indistinguishable with the advancement of deepfake generation techniques. Promising strides have been made in the deepfake detection ...
Predictive Tool for Peer Support and Mental Health Improvement with Speech Emotion State Classification for University Students

Welaratne, Hasitha Chamod; Ratnayake, Gayashini Shyanka (IEEE, 2022)

Mental health issues such as stress, depression, anxiety and trauma are some of the most common disorders which is mainly affecting many university student’s academics and their future careers. These mental health conditions ...
An Analysis of the Features Considerable for NFT Recommendations

Piyadigama, Dinuka; Poravi, Guhanathan (IEEE, 2022)

This research explores the methods that Non-fungible Token (NFT)s can be recommended to people who inter-act with NFT-marketplaces to explore NFTs of preference and similarity to what they have been searching for. While ...
Pulsar Candidate Selection Using Gaussian Hellinger Extremely Fast Decision Tree

Gamage, Venoli; Ayoob, Mohamed; Jayakumar, Krishnakripa (IEEE, 2022)

Radio wave data gathered by pulsar finding telescopes are required to be classified while being streamed. The reason for that is the practical constraints of traditional machine learning algorithms on streaming datasets. ...

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