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Found 22 papers, 8 papers with code
NLP@NISER: Classification of COVID19 tweets containing symptoms
In this paper, we describe our approaches for task six of Social Media Mining for Health Applications (SMM4H) shared task in 2021.
Estimation of Electronic Band Gap Energy From Material Properties Using Machine Learning
Machine learning techniques are utilized to estimate the electronic band gap energy and forecast the band gap category of materials based on experimentally quantifiable properties.
Enhancing Neural Theorem Proving through Data Augmentation and Dynamic Sampling Method
This gives the model more examples to learn from and helps it to predict the tactics with premises more accurately.
IndoorGNN: A Graph Neural Network based approach for Indoor Localization using WiFi RSSI
Commonly used technologies for indoor localization include WiFi, Bluetooth, RFID, and Ultra-wideband.
Perceiving University Student's Opinions from Google App Reviews
Google app market captures the school of thought of users from every corner of the globe via ratings and text reviews, in a multilinguistic arena.
Neural Networks at a Fraction with Pruned Quaternions
Contemporary state-of-the-art neural networks have increasingly large numbers of parameters, which prevents their deployment on devices with limited computational power.
Tirtha -- An Automated Platform to Crowdsource Images and Create 3D Models of Heritage Sites
Creating 3D models of CH sites has become a popular method of digital preservation thanks to advancements in computer vision and photogrammetry.
Neural directional distance field object representation for uni-directional path-traced rendering
Faster rendering of synthetic images is a core problem in the field of computer graphics.
A Comparative Study of Face Detection Algorithms for Masked Face Detection
Contemporary face detection algorithms have to deal with many challenges such as variations in pose, illumination, and scale.
3D GANs and Latent Space: A comprehensive survey
Generative Adversarial Networks (GANs) have emerged as a significant player in generative modeling by mapping lower-dimensional random noise to higher-dimensional spaces.
MIMA -- Multifunctional IoT Integrated Menstrual Aid
Currently, the concept of period pants revolves around pad-free and hassle-free periods for women, whereas most women still prefer sanitary pads during their period cycle.
Dict-NMT: Bilingual Dictionary based NMT for Extremely Low Resource Languages
In this paper, we explore methods using bilingual dictionaries with an NMT model to improve translations for extremely low resource languages.
eBIM-GNN : Fast and Scalable energy analysis through BIMs and Graph Neural Networks
Building Information Modeling has been used to analyze as well as increase the energy efficiency of the buildings.
Learning Graph Representations
Social and information networks are gaining huge popularity recently due to their various applications.
Indian Economy and Nighttime Lights
Here we aim to look for a relationship between GDP and Nighttime lights.
QUARC: Quaternion Multi-Modal Fusion Architecture For Hate Speech Classification
Models based on a particular modality of hate speech post on social media are not useful, rather, we need models like multi-modal fusion models that consider both image and text while classifying hate speech.
FLaPS: Federated Learning and Privately Scaling
FL uses the FedAvg algorithm, which is trained in the iterative model averaging way, on the non-iid and unbalanced distributed data, without depending on the data quantity.
LAC : LSTM AUTOENCODER with Community for Insider Threat Detection
The employees of any organization, institute, or industry, spend a significant amount of time on a computer network, where they develop their own routine of activities in the form of network transactions over a time period.
Comparative Sentiment Analysis of App Reviews
Our model was trained on Google reviews and tested on students' reviews.
Learning With Differential Privacy
The different aspects of differential privacy, it's application in privacy protection and leakage of information, a comparative discussion, on the current research approaches in this field, its utility in the real world as well as the trade-offs - will be discussed.
BUDS: Balancing Utility and Differential Privacy by Shuffling
In this work, after collecting one-hot encoded data from different sources and clients, a step of novel attribute shuffling technique using iterative shuffling (based on the query asked by the analyst) and loss estimation with an updation function and risk minimization produces a utility and privacy balanced differential private report.
ARA : Aggregated RAPPOR and Analysis for Centralized Differential Privacy
The Tf-Idf estimation model then estimates the reports on the basis of the occurrence of "on bit" in a particular position and its contribution to that position.
