| Emotion cognizance improves health fake news identification. K Anoop, P Deepak, VL Lajish IDEAS 2020, 24th, 2020 | 45* | 2020 |
| Temperature prediction using machine learning approaches T Anjali, K Chandini, K Anoop, VL Lajish 2019 2nd International conference on intelligent computing, instrumentation …, 2019 | 35 | 2019 |
| Leveraging heterogeneous data for fake news detection K Anoop, PG Manjary, P Deepak, VL Lajish Linking and mining heterogeneous and multi-view data, 229-264, 2019 | 26 | 2019 |
| On the coherence of fake news articles I Singh, P Deepak, K Anoop ECML PKDD 2020 Workshops: Workshops of the European Conference on Machine …, 2020 | 12* | 2020 |
| Distinguishing natural and computer generated images using Multi-Colorspace fused EfficientNet PG Manjary, K Anoop, VL Lajish Journal of Information Security and Applications 68, 103261, 2022 | 11 | 2022 |
| Towards an Enhanced Understanding of Bias in Pre-trained Neural Language Models: A Survey with Special Emphasis on Affective Bias K Anoop, PG Manjary, P Deepak, VL Lajish Responsible Data Science, 13-45, 2022 | 11 | 2022 |
| Cross-domain sentiment analysis on social media interactions using senti-lexicon based hybrid features R Suharshala, K Anoop, VL Lajish 2018 3rd international conference on inventive computation technologies …, 2018 | 6 | 2018 |
| Readers’ affect: predicting and understanding readers’ emotions with deep learning K Anoop, P Deepak, SA Savitha, VL Lajish, PG Manjary Journal of Big Data 9 (1), 1-31, 2022 | 3 | 2022 |
| Mathematical Morphology and Region Clustering Based Text Information Extraction from Malayalam News Videos K Anoop, PG Manjary, VL Lajish Advances in Signal Processing and Intelligent Recognition Systems, 431-442, 2016 | 3* | 2016 |
| Morphology based text detection and extraction from Malayalam news videos K Anoop, VL Lajish National Conference on Indian Language Computing, 2014 | 2 | 2014 |
| Understanding latent affective bias in large pre-trained neural language models A Kadan, P Deepak, S Bhadra, MP Gangan, VL Lajish Natural Language Processing Journal 7, 100062, 2024 | 1* | 2024 |
| A Robust Approach Towards Distinguishing Natural and Computer Generated Images using Multi-Colorspace fused and Enriched Vision Transformer PG Manjary, K Anoop, VL Lajish arXiv preprint arXiv:2308.07279, 2023 | 1 | 2023 |
| REDAffectiveLM: Leveraging Affect Enriched Embedding and Transformer-based Neural Language Model for Readers' Emotion Detection K Anoop, P Deepak, PG Manjary, SA Savitha, VL Lajish arXiv preprint arXiv:2301.08995, 2023 | 1 | 2023 |
| Online news popularity prediction before publication: effect of readability, emotion, psycholinguistics features R Suharshala, K Anoop, PG Manjary, VL Lajish Int J Artif Intell 11 (2), 539-545, 2022 | 1* | 2022 |
| Exploring Fairness in Pre-trained Visual Transformer based Natural and GAN Generated Image Detection Systems and Understanding the Impact of Image Compression in Fairness PG Manjary, K Anoop, VL Lajish arXiv preprint arXiv:2310.12076, 2023 | | 2023 |
| Affect-Oriented Fake News Detection Using Machine Learning K Anoop AWSAR Awarded Popular Science Stories By Scientists for the People, 402-404, 2019 | | 2019 |
| The Impact of Online Product Reviews and Social Media Interactions on Consumer Purchase Behaviour Prediction: an Opinion Mining Perspective VL Lajish, K Anoop, PG Manjary Infinitude: Frontiers of Research in Mathematical and Computing Science 2, 1-15, 2018 | | 2018 |
| Indexing and retrieval of malayalam news videos based on word image matching PG Manjary, K Anoop, VL Lajish 2017 International Conference on Advances in Computing, Communications and …, 2017 | | 2017 |
| A KEYWORD SPOTTING APPROACH FOR CONTENT BASED INDEXING AND RETRIEVAL OF MALAYALAM NEWS VIDEOS K Anoop, P Vivek, VL Lajish | | 2015 |
| TEXTUAL AFFECT A Computational Study Towards the Detection Utility and Algorithmic Fairness of Emotions in Text A Kadan Kozhikode, 0 | | |
Dr.Lajish.V.LAssociate Professor, Department of Computer Science, University of Calicut , Kerala -673635,INDIAVerified email at uoc.ac.in
