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Computational Intelligence & Data Analytics LAB

Department of Computer Science

Publications

Anoop K, Deepak P, & Lajish V L (2019)
Emotion Cognizance Improves Fake News Identification
Link: https://arxiv.org/abs/1906.10365
Accepted at : 24th International Database Engineering & Applications Symposium (IDEAS) 2020, South Korea.
Anoop K, Manjary P Gangan, Deepak P, & Lajish V L (2019).
Leveraging heterogeneous data for fake news detection, Linking and Mining Heterogeneous and Multi-view Data (pp. 229-264). Springer, Cham
Link: https://link.springer.com/chapter/10.1007/978-3-030-01872-6_10

Awards:

Augmenting Writing Skills for Articulating Research (AWSAR) - 2019

instituted by the Department of Science and Technology, Govt. of India.
Article Title: “Affect-oriented Fake News Detection using Machine Learning”
Awardee: Mr. Anoop K.
Booklet Link: https://www.awsar-dst.in/assets/uploads/2020/Booklet_2019_awardees.pdf

Resources:

HWB - Fake Vs. Real Dataset: https://dcs.uoc.ac.in/cida/resources/hwb.html (will update soon, after publishing the paper)

CIDA Lab

CIDA Lab at the Department of Computer Science, University of Calicut intended to work towards the challenging research problems in the area of computational intelligence and data analytics. The core areas of research at CIDA Lab

Indian Language Speech/Script Technology Solutions for masses
Image Forensics for Digital Image Forgery Detection
Affective computing Using Machine Learning Techniques