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

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

On the Coherence of Fake News Articles. - Iknoor Singh; Deepak P 001; Anoop Kadan (PKDD/ECML Workshops, 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)

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)