V. L. Lajish

Name: dblp XML data dump
Creator: Schloss Dagstuhl - Leibniz Center for Informatics
Published: 1993
License: https://creativecommons.org/publicdomain/zero/1.0/
Keywords: dblp, XML, computer science, scholarly publications, metadata

◀ ▶ joint publications with Anoop K.

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Publications

2023
[i11]
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  - journals/corr/abs-2301-08995
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Anoop Kadan, Deepak P, Manjary P. Gangan, Savitha Sam Abraham, Lajish V. L:
REDAffectiveLM: Leveraging Affect Enriched Embedding and Transformer-based Neural Language Model for Readers' Emotion Detection. CoRR abs/2301.08995 (2023)
[i10]
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  - journals/corr/abs-2301-09003
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Anoop Kadan, Deepak P, Sahely Bhadra, Manjary P. Gangan, Lajish V. L:
Blacks is to Anger as Whites is to Joy? Understanding Latent Affective Bias in Large Pre-trained Neural Language Models. CoRR abs/2301.09003 (2023)
[i9]
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  - journals/corr/abs-2308-07279
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Manjary P. Gangan, Anoop Kadan, Lajish V. L:
A Robust Approach Towards Distinguishing Natural and Computer Generated Images using Multi-Colorspace fused and Enriched Vision Transformer. CoRR abs/2308.07279 (2023)
[i8]
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  - journals/corr/abs-2310-12076
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Manjary P. Gangan, Anoop Kadan, Lajish V. L:
Exploring Fairness in Pre-trained Visual Transformer based Natural and GAN Generated Image Detection Systems and Understanding the Impact of Image Compression in Fairness. CoRR abs/2310.12076 (2023)
2022
[i7]
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  - journals/corr/abs-2204-10365
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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. CoRR abs/2204.10365 (2022)
2021
[i6]
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  - journals/corr/abs-2110-09428
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Manjary P. Gangan, Anoop K., Lajish V. L:
Distinguishing Natural and Computer-Generated Images using Multi-Colorspace fused EfficientNet. CoRR abs/2110.09428 (2021)
2020
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  - conf/ideas/K0L20
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Anoop K., Deepak P, Lajish V. L:
Emotion cognizance improves health fake news identification. IDEAS 2020: 12:1-12:10
2019
[i5]
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  - journals/corr/abs-1906-10365
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Anoop K., Deepak P, Lajish V. L:
Emotion Cognizance Improves Fake News Identification. CoRR abs/1906.10365 (2019)

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