Search Results - "Lajish, V L"

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

“…Emotions are highly useful to model human behavior being at the core of what makes us human. Today, people abundantly express and share emotions through social…”
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Distinguishing natural and computer generated images using Multi-Colorspace fused EfficientNet by 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 by Kadan, Anoop, Deepak, P., Gangan, Manjary P., Abraham, Sam Savitha, Lajish, V. L.

“…Technological advancements in web platforms allow people to express and share emotions toward textual write-ups written and shared by others. This brings about…”
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Classification of Low-Grade and High-Grade Glioma from MR Brain Images Using Multiple-Instance Learning with Combined Feature Set by Benson, C. C., Lajish, V. L., Rajamani, Kumar

“…Fully automatic brain image classification of MR brain images is of great importance for research and clinical studies, since the precise detection may lead to…”
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Viseme set identification from Malayalam phonemes and allophones by Bibish Kumar, K. T., Sunil Kumar, R. K., Sandesh, E. P. A., Sourabh, S., Lajish, V. L.

“…Knowledge about phoneme and viseme in a language is a vital component in the making of any speech-based applications in that language. A phoneme is an atomic…”
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Phoneme recognition using zerocrossing interval distribution of speech patterns and ANN by Sunil Kumar, R. K., Lajish, V. L.

“…The speech signal is modeled using zerocrossing interval distribution of the signal in time domain. The distributions of these parameters are studied over five…”
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Blacks is to Anger as Whites is to Joy? Understanding Latent Affective Bias in Large Pre-trained Neural Language Models by Kadan, Anoop, P, Deepak, Bhadra, Sahely, Gangan, Manjary P, L, Lajish V

“…Groundbreaking inventions and highly significant performance improvements in deep learning based Natural Language Processing are witnessed through the…”
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Distinguishing Natural and Computer-Generated Images using Multi-Colorspace fused EfficientNet by Gangan, Manjary P, K, Anoop, L, Lajish V

“…Journal of Information Security and Applications, Volume 68, August 2022, 103261 The problem of distinguishing natural images from photo-realistic…”
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Towards an Enhanced Understanding of Bias in Pre-trained Neural Language Models: A Survey with Special Emphasis on Affective Bias by K, Anoop, Gangan, Manjary P, P, Deepak, L, Lajish V

“…The remarkable progress in Natural Language Processing (NLP) brought about by deep learning, particularly with the recent advent of large pre-trained neural…”
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Temperature Prediction using Machine Learning Approaches by Anjali, T, Chandini, K, Anoop, K, Lajish, V L

“…Weather prediction is one of the most important research areas due to its applicability in real-world problems like meteorology, agricultural studies, etc. We…”
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Cross-Domain Sentiment Analysis on Social Media Interactions using Senti-Lexicon based Hybrid Features by Suharshala, R., Anoop, K., Lajish, V. L.

“…Analyzing the sentiment information from the social media interactions is a rapidly growing research area. Several studies in the literature focus on modeling…”
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A Novel Document and Query Similarity Indexing using VSM for Unstructured Documents by Reshma, P.K., Rajagopal, Suharshala, Lajish, V.L.

“…Most of the Natural Language applications deal with the automatic detection of semantic text similarity between documents. In this paper, unstructured…”
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Edge assisted fast binarization scheme for improved vehicle license plate recognition by Satish, M, Lajish, V L, Kopparapu, Sunil Kumar

“…Identity of a motor vehicle is usually through its license plate. Automatic vehicle license plate recognition has several applications in intelligent traffic…”
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Knotless spline noise removal technique for improved OHCR by Lajish, V L, Pandey, V K, Kopparapu, S K

“…Noise in on-line hand written characters due to natural shaking of the hand and noise due to the process of digitization is inherent and this can lead to a…”
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Towards Exploring Fairness in Visual Transformer based Natural and GAN Image Detection Systems by Gangan, Manjary P, Kadan, Anoop, L, Lajish V

“…Image forensics research has recently witnessed a lot of advancements towards developing computational models capable of accurately detecting natural images…”
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A Robust Image Forensic Framework Utilizing Multi-Colorspace Enriched Vision Transformer for Distinguishing Natural and Computer-Generated Images by Gangan, Manjary P, Kadan, Anoop, L, Lajish V

“…The digital image forensics based research works in literature classifying natural and computer generated images primarily focuses on binary tasks. These tasks…”
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Brain tumor segmentation from MR brain images using improved fuzzy c-means clustering and watershed algorithm by Benson, C. C., Deepa, V., Lajish, V. L., Rajamani, Kumar

“…Brain is the master and commanding organ of human body. Human brain is affected by many dangerous diseases. Brain tumor or neoplasm is the abnormal growth of…”
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REDAffectiveLM: Leveraging Affect Enriched Embedding and Transformer-based Neural Language Model for Readers' Emotion Detection by Kadan, Anoop, P, Deepak, Gangan, Manjary P, Abraham, Savitha Sam, L, Lajish V

“…Technological advancements in web platforms allow people to express and share emotions towards textual write-ups written and shared by others. This brings…”
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Morphology Based Enhancement and Skull Stripping of MRI Brain Images by Benson, C. C., Lajish, V. L.

“…Brain is an important part of human body. Many complex human body functions are controlled by brain. Brain imaging is a widely applicable method for diagnosing…”
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Emotion Cognizance Improves Health Fake News Identification by K, Anoop, P, Deepak, L, Lajish V

“…Identifying misinformation is increasingly being recognized as an important computational task with high potential social impact. Misinformation and fake…”
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