MANJARY P GANGAN

 

 

Research Projects

• Women Scientist Scheme-A (WOS-A) for Research in Basic/Applied Science
  Role: Principal Investigator
  Funding Agency: Department of Science and Technology (DST), Government of India
  Grant No.: SR/WOS-A/PM-62/2018

 

Publications

Book Chapters

• Anoop K., Manjary P. Gangan, Deepak P., Lajish V. L., "Leveraging Heterogeneous Data for Fake News Detection", Linking and Mining Heterogeneous and Multi-view Data, Springer, Cham, 2019, ISBN: 978-3-030-01871-9,  DOI 10.1007/978-3-030-01872-6_10. [Paper][Pre-print]

• Lajish V. L., Anoop K., Manjary P. Gangan, "The Impact of Online Product Reviews and Social Media Interactions on Consumer Purchase Behaviour Prediction: An Opinion Mining Perspective", Infinitude: Frontiers of Research in Mathematical and Computing Science, UGC-HRDC, University of Calicut, 2018, ISBN: 978-93-87398-82-5. [Paper]

Journal Articles

• Anoop Kadan, Deepak P., Sahely Bhadra, Manjary P. Gangan, Lajish V. L., "Understanding latent affective bias in large pre-trained neural language models", Natural Language Processing Journal, Volume 7, 2024, 100062, Elsevier, ISSN: 2949-7191, DOI: 10.1016/j.nlp.2024.100062 [Abstract][Paper][Code][Pre-print]

• Manjary P. Gangan, Anoop K., Lajish V. L., "Distinguishing natural and computer generated images using Multi-Colorspace fused EfficientNet", Journal of Information Security and Applications, Volume 68, 2022, 103261, Elsevier, ISSN 2214-2126, DOI: 10.1016/j.jisa.2022.103261 (SCI, Impact Factor: 5.6) [Abstract][Paper][Dataset][Code][Pre-print]

• Anoop K., Deepak P., Savitha Sam Abraham, Lajish V. L., Manjary P. Gangan, "Readers’ affect: predicting and understanding readers’ emotions with deep learning", Journal of Big Data, Vol. 9, Issue 1, Article number: 82, June 2022, pp. 1--31, Springer Nature, ISSN: 2196-1115, DOI: 10.1186/s40537-022-00614-2 (SCI, Impact Factor: 8.1) [Paper][Datasets: RENh-4k and REN-10k][Webpage]

• Suharshala R., Anoop K., Manjary P. Gangan, Lajish V. L., "Online news popularity prediction before publication: effect of readability, emotion, psycholinguistics features", IAES International Journal of Artificial Intelligence (IJ-AI), Vol. 11, No. 2, pp. 539-545, June 2022, ISSN: 2252-8938, DOI: 10.11591/ijai.v11.i2.pp539-545 (Scopus) [Paper][Dataset]

International Conferences

• Anoop K., Manjary P. Gangan, Deepak P., Lajish V. L., "Towards an Enhanced Understanding of Bias in Pre-trained Neural Language Models: A Survey with Special Emphasis on Affective Bias", Responsible Data Science. Lecture Notes in Electrical Engineering, vol. 940, 2022, Springer, Singapore, 7^th International Conference on Data Science and Engineering (ICDSE 2021), IIT Patna, DOI: 10.1007/978-981-19-4453-6_2. [Paper][Github][Pre-print]

• Manjary P. Gangan, Anoop K., Lajish V. L., "Indexing and Retrieval of Malayalam News Videos Based on Word Image Matching", International Conference on Advances in Computing, Communications and Informatics (ICACCI), IEEE, India, 2017, E-ISBN: 978-1-5090-6367-3, DOI: 10.1109/ICACCI.2017.8125989. [Paper]

• Anoop K., Manjary P. Gangan, Lajish V. L., "Mathematical Morphology and Region Clustering Based Text Information Extraction from Malayalam News Videos", International Symposium on Signal Processing and Intelligent Recognition Systems (SIRS), Advances in Signal Processing and Intelligent Recognition Systems, Springer, Cham, India, 2015,  Online ISBN 978-3-319-28658-7, DOI 10.1007/978-3-319-28658-7_37. [Paper][Code]

National Conferences

• Manjary P. Gangan, Anoop K., Lajish V. L., "Word profile and DTW based approach of text recognition for retrieval in Malayalam News Videos", National Conference on Recent Trends in Computational Intelligence and Image Processing (RCIP), jointly organized by College of Engineering Vadakara and University of Calicut, 2016

Poster Presentations

• Anjali T., Lajish V. L., Anoop K., Manjary P. Gangan, "Anomalous Weather Prediction in Kerala using Machine Learning Techniques", 32^nd Kerala Science Congress, Abstract publisher: Kerala State Council for Science, Technology and Environment, 2020, ISBN: 978-81-942768-0-7. [Abstract]

 

Invited Talks

• Convolutional Neural Networks - Theory and Experimental Experience, Five Day National Workshop on Artificial Intelligence, Sponsored by AICTE Training and Learning (ATAL), Organized by Department of Computer Science, School of Physical Sciences, Central University of Kerala, Kasargod, 1^st October 2019

• Numerical Computation and Data Visualisations in Python, Three-day Workshop on Computational Linguistics, at the Thunchath Ezuthachan Malayalam University, 15th – 17th November 2017

• Two Day Workshop on Matlab organized by Institution of Engineers’ India, Students Vast Chapter (IEI) CSI, ISTE, Vidya Academy of Science & Technology, 22^nd - 23^rd January 2013

• Workshop on Open Sources for Computer Vision & Image Processing, Amrita Vishwa Vidyapeetham, Coimbatore, 29^th September - 12^th October 2011