Readers’ affect: predicting and understanding readers’ emotions with deep learning von K., Anoop, P., Deepak, Sam Abraham, Savitha, V. L., Lajish, P. Gangan, Manjary

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Distinguishing natural and computer generated images using Multi-Colorspace fused EfficientNet von P. Gangan, Manjary, K., Anoop, V. L., Lajish

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REDAffectiveLM: leveraging affect enriched embedding and transformer-based neural language model for readers’ emotion detection von Kadan, Anoop, Deepak, P., Gangan, Manjary P., Abraham, Sam Savitha, Lajish, V. L.

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Toward Exploring Fairness in Visual Transformer Based Natural and GAN Image Detection Systems von Gangan, Manjary P., Kadan, Anoop, V. L., Lajish

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Understanding latent affective bias in large pre-trained neural language models von Kadan, Anoop, P., Deepak, Bhadra, Sahely, P. Gangan, Manjary, V.L., Lajish

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Towards Exploring Fairness in Visual Transformer based Natural and GAN Image Detection Systems von Gangan, Manjary P, Kadan, Anoop, L, Lajish V

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A Robust Image Forensic Framework Utilizing Multi-Colorspace Enriched Vision Transformer for Distinguishing Natural and Computer-Generated Images von Gangan, Manjary P, Kadan, Anoop, L, Lajish V

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REDAffectiveLM: Leveraging Affect Enriched Embedding and Transformer-based Neural Language Model for Readers' Emotion Detection von Kadan, Anoop, P, Deepak, Gangan, Manjary P, Abraham, Savitha Sam, L, Lajish V

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Towards Exploring Fairness in Visual Transformer based Natural and GAN Image Detection Systems von Gangan, Manjary P, Kadan, Anoop, Lajish, V L

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A Robust Image Forensic Framework Utilizing Multi-Colorspace Enriched Vision Transformer for Distinguishing Natural and Computer-Generated Images von Gangan, Manjary P, Kadan, Anoop, Lajish, V L

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

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Distinguishing Natural and Computer-Generated Images using Multi-Colorspace fused EfficientNet von Gangan, Manjary P, Anoop, K, Lajish, V L

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Towards an Enhanced Understanding of Bias in Pre-trained Neural Language Models: A Survey with Special Emphasis on Affective Bias von Anoop, K, Gangan, Manjary P, Deepak, P, Lajish, V L

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REDAffectiveLM: Leveraging Affect Enriched Embedding and Transformer-based Neural Language Model for Readers' Emotion Detection von Kadan, Anoop, Deepak, P, Gangan, Manjary P, Abraham, Savitha Sam, Lajish, V L

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Leveraging Heterogeneous Data for Fake News Detection von Anoop, K., Gangan, Manjary P., P, Deepak, Lajish, V. L.

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