Search Results for author: Gaurav Singh

Found 14 papers, 3 papers with code

Multi-Static UWB Radar-based Passive Human Tracking Using COTS Devices

no code implementations27 Sep 2021 Chenglong Li, Emmeric Tanghe, Jaron Fontaine, Luc Martens, Jac Romme, Gaurav Singh, Eli de Poorter, Wout Joseph

Due to its high delay resolution, the ultra-wideband (UWB) technique has been widely adopted for fine-grained indoor localization.

Indoor Localization

Relation Extraction from Tables using Artificially Generated Metadata

no code implementations24 Aug 2021 Gaurav Singh, Siffi Singh, Joshua Wong, Amir Saffari

To address this issue, we propose methods to artificially create some of this metadata for synthetic tables.

Relation Extraction

Sentiment Analysis of Code-Mixed Social Media Text (Hinglish)

no code implementations24 Feb 2021 Gaurav Singh

The models were created using various machine learning algorithms such as SVM, KNN, Decision Trees, Random Forests, Naive Bayes, Logistic Regression, and ensemble voting classifiers.

Sentiment Analysis

Optimization of Radar Parameters for Maximum Detection Probability Under Generalized Discrete Clutter Conditions Using Stochastic Geometry

no code implementations29 Jan 2021 Shobha Sundar Ram, Gaurav Singh, Gourab Ghatak

Using this framework, we derive a metric called the radar detection coverage probability as a function of radar parameters such as transmitted power, system noise temperature and radar bandwidth; and clutter parameters such as clutter density and mean clutter cross-section.

Simulating multiscale gated field emitters -- a hybrid approach

no code implementations6 Nov 2020 Shreya Sarkar, Raghwendra Kumar, Gaurav Singh, Debabrata Biswas

For a compound geometry with local field enhancement by a factor of around 1000, a hybrid model is used where the vacuum field calculated using COMSOL is imported into the Particle-In-Cell code PASUPAT where the emission module is implemented.

Applied Physics Mesoscale and Nanoscale Physics Accelerator Physics Computational Physics Plasma Physics

Decision Tree J48 at SemEval-2020 Task 9: Sentiment Analysis for Code-Mixed Social Media Text (Hinglish)

no code implementations26 Aug 2020 Gaurav Singh

This paper discusses the design of the system used for providing a solution for the problem given at SemEval-2020 Task 9 where sentiment analysis of code-mixed language Hindi and English needed to be performed.

Sentiment Analysis

Relation Extraction using Explicit Context Conditioning

no code implementations NAACL 2019 Gaurav Singh, Parminder Bhatia

Most current RE models learn context-aware representations of the target entities that are then used to establish relation between them.

Relation Extraction

Structured Multi-Label Biomedical Text Tagging via Attentive Neural Tree Decoding

1 code implementation EMNLP 2018 Gaurav Singh, James Thomas, Iain J. Marshall, John Shawe-Taylor, Byron C. Wallace

We propose a model for tagging unstructured texts with an arbitrary number of terms drawn from a tree-structured vocabulary (i. e., an ontology).

Faster Convergence & Generalization in DNNs

no code implementations30 Jul 2018 Gaurav Singh, John Shawe-Taylor

Deep neural networks have gained tremendous popularity in last few years.

General Classification

Improving Active Learning in Systematic Reviews

no code implementations29 Jan 2018 Gaurav Singh, James Thomas, John Shawe-Taylor

The first step in a systematic review task is to identify all the studies relevant to the review.

Active Learning

Predicting Branch Visits and Credit Card Up-selling using Temporal Banking Data

1 code implementation20 Jul 2016 Sandra Mitrović, Gaurav Singh

There is an abundance of temporal and non-temporal data in banking (and other industries), but such temporal activity data can not be used directly with classical machine learning models.

Neighborhood Sensitive Mapping for Zero-Shot Classification using Independently Learned Semantic Embeddings

no code implementations26 May 2016 Gaurav Singh, Fabrizio Silvestri, John Shawe-Taylor

In a traditional setting, classifiers are trained to approximate a target function $f:X \rightarrow Y$ where at least a sample for each $y \in Y$ is presented to the training algorithm.

General Classification Zero-Shot Learning

Efficient Document Indexing Using Pivot Tree

no code implementations21 May 2016 Gaurav Singh, Benjamin Piwowarski

We present a novel method for efficiently searching top-k neighbors for documents represented in high dimensional space of terms based on the cosine similarity.

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