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Found 33 papers, 5 papers with code
Amrita_CEN_NLP@SDP2021 Task A and B
This paper is the submission of the team Amrita_CEN_NLP to the shared task.
Amrita_CEN at SemEval-2022 Task 6: A Machine Learning Approach for Detecting Intended Sarcasm using Oversampling
This paper describes the submission of the team Amrita_CEN to the shared task on iSarcasm Eval: Intended Sarcasm Detection in English and Arabic at SemEval 2022.
Amrita_CEN at SemEval-2022 Task 4: Oversampling-based Machine Learning Approach for Detecting Patronizing and Condescending Language
This paper narrates the work of the team Amrita_CEN for the shared task on Patronizing and Condescending Language Detection at SemEval 2022.
Mining Bilingual Word Pairs from Comparable Corpus using Apache Spark Framework
Bilingual dictionaries are essential resources in many areas of natural language processing tasks, but resource-scarce and less popular language pairs rarely have such.
Amrita_CEN_NLP @ WOSP 3C Citation Context Classification Task
Identification of the purpose and influence of citation is significant in assessing the impact of a publication.
Findings of the Shared Task on Multimodal Sentiment Analysis and Troll Meme Classification in Dravidian Languages
The only team that participated in the Multimodal Sentiment Analysis shared task obtained an F1-score of 0. 24.
Amrita_CEN_NLP@DravidianLangTech-EACL2021: Deep Learning-based Offensive Language Identification in Malayalam, Tamil and Kannada
This paper describes the submission of the team Amrita_CEN_NLP to the shared task on Offensive Language Identification in Dravidian Languages at EACL 2021.
BERT-Based Sequence Labelling Approach for Dependency Parsing in Tamil
This paper focuses on a novel approach that uses word-to-word dependency tagging using BERT models to improve the malt parser performance.
CEN-Tamil@DravidianLangTech-ACL2022: Abusive Comment detection in Tamil using TF-IDF and Random Kitchen Sink Algorithm
This paper describes the approach of team CEN-Tamil used for abusive comment detection in Tamil.
Geometry Based Machining Feature Retrieval with Inductive Transfer Learning
Manufacturing industries have widely adopted the reuse of machine parts as a method to reduce costs and as a sustainable manufacturing practice.
BUCC2020: Bilingual Dictionary Induction using Cross-lingual Embedding
This paper presents a deep learning system for the BUCC 2020 shared task: Bilingual dictionary induction from comparable corpora.
cEnTam: Creation and Validation of a New English-Tamil Bilingual Corpus
Natural Language Processing (NLP), is the field of artificial intelligence that gives the computer the ability to interpret, perceive and extract appropriate information from human languages.
Deep Learning Approach for Intelligent Named Entity Recognition of Cyber Security
In recent years, the amount of Cyber Security data generated in the form of unstructured texts, for example, social media resources, blogs, articles, and so on has exceptionally increased.
Deep Learning Approach for Enhanced Cyber Threat Indicators in Twitter Stream
In recent days, the amount of Cyber Security text data shared via social media resources mainly Twitter has increased.
Deep Learning based Frameworks for Handling Imbalance in DGA, Email, and URL Data Analysis
This is mainly due to the reason that cost-sensitive approach gives importance to the classes which have a very less number of samples during training and this helps to learn all the classes in a more efficient manner.
Dynamic Mode Decomposition based feature for Image Classification
Irrespective of the fact that Machine learning has produced groundbreaking results, it demands an enormous amount of data in order to perform so.
Data-driven Computing in Elasticity via Chebyshev Approximation
This paper proposes a data-driven approach for computing elasticity by means of a non-parametric regression approach rather than an optimization approach.
Computational Engineering, Finance, and Science
A Compendium on Network and Host based Intrusion Detection Systems
The techniques of deep learning have become the state of the art methodology for executing complicated tasks from various domains of computer vision, natural language processing, and several other areas.
Emotion Detection using Data Driven Models
In this paper the text data is used for the classification of the emotions.
RNNSecureNet: Recurrent neural networks for Cyber security use-cases
Recurrent neural network (RNN) is an effective neural network in solving very complex supervised and unsupervised tasks.
An Insight into the Dynamics and State Space Modelling of a 3-D Quadrotor
Drones have gained popularity in a wide range of field ranging from aerial photography, aerial mapping, and investigation of electric power lines.
A Deep Learning Approach for Similar Languages, Varieties and Dialects
Deep learning mechanisms are prevailing approaches in recent days for the various tasks in natural language processing, speech recognition, image processing and many others.
A short review on Applications of Deep learning for Cyber security
This has been applied towards various use cases in cyber security such as intrusion detection, malware classification, android malware detection, spam and phishing detection and binary analysis.
Deep-Net: Deep Neural Network for Cyber Security Use Cases
In this paper, we attempt to apply DNNs on three different cyber security use cases: Android malware classification, incident detection and fraud detection.
Evaluating Shallow and Deep Neural Networks for Network Intrusion Detection Systems in Cyber Security
In this paper, DNNs have been utilized to predict the attacks on Network Intrusion Detection System (N-IDS).
Ranked #1 on
Network Intrusion Detection
on KDD
DeepImageSpam: Deep Learning based Image Spam Detection
Hackers and spammers are employing innovative and novel techniques to deceive novice and even knowledgeable internet users.
A Brief Survey on Autonomous Vehicle Possible Attacks, Exploits and Vulnerabilities
Advanced driver assistance systems are advancing at a rapid pace and all major companies started investing in developing the autonomous vehicles.
DeepProteomics: Protein family classification using Shallow and Deep Networks
The laboratory experiments take a considerable amount of time for annotation of the sequences.
Deep Health Care Text Classification
This working note presents the Recurrent neural network (RNN) and Long short-term memory (LSTM) based embedding for automatic health text classification in the social media mining.
deepCybErNet at EmoInt-2017: Deep Emotion Intensities in Tweets
The goal of the task is to predict a real valued score in the range [0-1] for a particular tweet with an emotion type.
Vector Space Model as Cognitive Space for Text Classification
The objective of the task is to find the sociolect aspects of the users from their tweets.
