Phoneme recognition using zerocrossing interval distribution of speech patterns and ANN. - R. K. Sunil Kumar; V. L. Lajish (Int. J. Speech Technol., 2013)

A Framework for On-Line Devanagari Handwritten Character Recognition. - Sunil Kumar Kopparapu; Lajish V. L. (CoRR, 2014)

Brain tumor extraction from MRI brain images using marker based watershed algorithm. - Benson C. C.; Lajish V. L.; Kumar T. Rajamani (ICACCI, 2015)

Mathematical Morphology and Region Clustering Based Text Information Extraction from Malayalam News Videos. - K. Anoop; Manjary P. Gangan; V. L. Lajish (SIRS, 2015)

On-line Handwritten Devanagari Character Recognition using Fuzzy Directional Features. - Sunil Kumar Kopparapu; Lajish V. L. (CoRR, 2015)

Online Handwritten Devanagari Stroke Recognition Using Extended Directional Features. - Lajish V. L.; Sunil Kumar Kopparapu (CoRR, 2015)

Mobile Phone Based Vehicle License Plate Recognition for Road Policing. - Lajish V. L.; Sunil Kumar Kopparapu (CoRR, 2015)

Brain tumor segmentation from MR brain images using improved fuzzy c-means clustering and watershed algorithm. - C. C. Benson; V. Deepa; V. L. Lajish; Kumar T. Rajamani (ICACCI, 2016)

Robust classification of MR brain images based on fractal dimension analysis. - C. C. Benson; V. L. Lajish; Kumar T. Rajamani (ICACCI, 2017)

Indexing and retrieval of malayalam news videos based on word image matching. - Manjary P. Gangan; K. Anoop; V. L. Lajish (ICACCI, 2017)

Emotion Cognizance Improves Fake News Identification. - Anoop Kadan; Deepak P 001; Lajish V. L (CoRR, 2019)

Viseme set identification from Malayalam phonemes and allophones. - K. T. Bibish Kumar; R. K. Sunil Kumar; E. P. A. Sandesh; S. Sourabh; V. L. Lajish (Int. J. Speech Technol., 2019)

Emotion cognizance improves health fake news identification. - Anoop Kadan; Deepak P 001; Lajish V. L (IDEAS, 2020)

Distinguishing Natural and Computer-Generated Images using Multi-Colorspace fused EfficientNet. - Manjary P. Gangan; Anoop Kadan; Lajish V. L (CoRR, 2021)

Towards an Enhanced Understanding of Bias in Pre-trained Neural Language Models: A Survey with Special Emphasis on Affective Bias. - Anoop Kadan; Manjary P. Gangan; Deepak P 001; Lajish V. L (CoRR, 2022)

Distinguishing natural and computer generated images using Multi-Colorspace fused EfficientNet. - Manjary P. Gangan; K. Anoop; Lajish V. L. (J. Inf. Secur. Appl., 2022)

Readers' affect: predicting and understanding readers' emotions with deep learning. - K. Anoop; Deepak P 001; Savitha Sam Abraham; Lajish V. L.; Manjary P. Gangan (J. Big Data, 2022)

Classification of Low-Grade and High-Grade Glioma from MR Brain Images Using Multiple-Instance Learning with Combined Feature Set. - C. C. Benson; V. L. Lajish; Kumar Rajamani 001 (Vietnam. J. Comput. Sci., 2022)

Blacks is to Anger as Whites is to Joy? Understanding Latent Affective Bias in Large Pre-trained Neural Language Models. - Anoop Kadan; Deepak P 001; Sahely Bhadra; Manjary P. Gangan; Lajish V. L (CoRR, 2023)

A Robust Approach Towards Distinguishing Natural and Computer Generated Images using Multi-Colorspace fused and Enriched Vision Transformer. - Manjary P. Gangan; Anoop Kadan; Lajish V. L (CoRR, 2023)

Exploring Fairness in Pre-trained Visual Transformer based Natural and GAN Generated Image Detection Systems and Understanding the Impact of Image Compression in Fairness. - Manjary P. Gangan; Anoop Kadan; Lajish V. L (CoRR, 2023)

Understanding latent affective bias in large pre-trained neural language models. - Anoop Kadan; Deepak P 001; Sahely Bhadra; Manjary P. Gangan; Lajish V. L. (Nat. Lang. Process. J., 2024)

REDAffectiveLM: leveraging affect enriched embedding and transformer-based neural language model for readers' emotion detection. - Anoop Kadan; Deepak P 001; Manjary P. Gangan; Savitha Sam Abraham; V. L. Lajish (Knowl. Inf. Syst., 2024)

Toward Exploring Fairness in Visual Transformer Based Natural and GAN Image Detection Systems. - Manjary P. Gangan; Anoop Kadan; Lajish V. L. (IEEE Trans. Comput. Soc. Syst., 2025)