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Negar Ghourchian

dblp:40/11443 · DBLP profile ↗
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4ranked-venue papers
4as first author
0since 2021 · last 2017
—ORCID · unresolved

Domains — the database's venue-derived domains; a paper can count in several

Graphics, computer vision, multimedia, augmented reality and games · 4 · 4 first-authorArtificial intelligence and machine learning · 3 · 3 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Human-computer interaction and pervasive computing
2 papers
Ubiquitous computing and smart environments · 100%
Artificial intelligence
1 paper
Learning paradigms · 100%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Machine learning › Learning paradigms
semi-supervised learning		 0.312017
Real-Time Indoor Localization in Smart Homes Using Semi-Supervised Learning · AAAI 2017
Ubiquitous computing and smart environments
indoor localization		 0.312017
Real-Time Indoor Localization in Smart Homes Using Semi-Supervised Learning · AAAI 2017
Ubiquitous computing and smart environments › context recognition
activity recognition		 0.212016
Location-Based Activity Recognition with Hierarchical Dirichlet Process · IJCAI 2016
Ubiquitous computing and smart environments › context recognition › activity recognition
location-based activity recognition		 0.212016
Location-Based Activity Recognition with Hierarchical Dirichlet Process · IJCAI 2016

Methods — techniques the papers use, named apart from their topics

semi-supervised learning · 0.6hierarchical dirichlet process · 0.2
YearPublicationVenuePosition
2017 Real-Time Indoor Localization in Smart Homes Using Semi-Supervised Learning
Negar Ghourchian, Michel Allegue-Martínez, Doina Precup
 AAAI1
2016 Location-Based Activity Recognition with Hierarchical Dirichlet Process
Negar Ghourchian
 IJCAI1
2013 Smart Classifier Selection for Activity Recognition on Wearable Devices
Negar Ghourchian, Doina Precup
 ICPRAM1
2009 Robust distributed speech recognition using two-stage Filtered Minima Controlled Recursive Averaging
abstract
This paper examines the use of a new filtered minima-controlled recursive averaging (FMCRA) noise estimation technique as a robust front-end processing to improve the performance of a distributed speech recognition (DSR) system in noisy environments. The noisy speech is enhanced by using a two-stage framework in order to simultaneously address the inefficiency of the voice activity detector (VAD) and to remedy the inadequacies of MCRA. The performance evaluation carried out on the Aurora 2 task showed that the inclusion of FMCRA in the front-end side leads to a significant improvement in DSR accuracy.
Negar Ghourchian, Sid-Ahmed Selouani, Douglas D. O'Shaughnessy
 ASRU1