118 citations · 245 across the 25 of their papers we have counts for
27 papers
Impact of Noisy Labels on Sound Event Detection: Deletion Errors Are More Detrimental Than Insertion Errors
Yuliang Zhang, Roberto Togneri, Defeng +1
This study explores the critical but underexamined impact of label noise on Sound Event Detection (SED), which requires both sound identification and precise temporal localization.…
End-to-End Lyrics Recognition with Self-supervised Learning
Xiangyu Zhang, Shuyue Stella Li, Zhanhong He +2
Lyrics recognition is an important task in music processing. Despite traditional algorithms such as the hybrid HMM- TDNN model achieving good performance, studies on applying end-t…
A New Approach to Extract Fetal Electrocardiogram Using Affine Combination of Adaptive Filters
Yu Xuan, Xiangyu Zhang, Shuyue Stella Li +4
The detection of abnormal fetal heartbeats during pregnancy is important for monitoring the health conditions of the fetus. While adult ECG has made several advances in modern medi…
Automated Sex Classification of Children's Voices and Changes in Differentiating Factors with Age
Fuling Chen, Roberto Togneri, Murray Maybery +1
Sex classification of children's voices allows for an investigation of the development of secondary sex characteristics which has been a key interest in the field of speech analysi…
Spatio-Temporal Graph Representation Learning for Fraudster Group Detection
Saeedreza Shehnepoor, Roberto Togneri, Wei Liu +1
Motivated by potential financial gain, companies may hire fraudster groups to write fake reviews to either demote competitors or promote their own businesses. Such groups are consi…
Social Fraud Detection Review: Methods, Challenges and Analysis
Saeedreza Shehnepoor, Roberto Togneri, Wei Liu +1
Social reviews have dominated the web and become a plausible source of product information. People and businesses use such information for decision-making. Businesses also make use…
A Novel Quantum Calculus-based Complex Least Mean Square Algorithm (q-CLMS)
Alishba Sadiq, Imran Naseem, Shujaat Khan +3
In this research, a novel adaptive filtering algorithm is proposed for complex domain signal processing. The proposed algorithm is based on Wirtinger calculus and is called as q-Co…
q-RBFNN:A Quantum Calculus-based RBF Neural Network
Syed Saiq Hussain, Muhammad Usman, Taha Hasan Masood Siddique +3
In this research a novel stochastic gradient descent based learning approach for the radial basis function neural networks (RBFNN) is proposed. The proposed method is based on the…
HIN-RNN: A Graph Representation Learning Neural Network for Fraudster Group Detection With No Handcrafted Features
Saeedreza Shehnepoor, Roberto Togneri, Wei Liu +1
Social reviews are indispensable resources for modern consumers' decision making. For financial gain, companies pay fraudsters preferably in groups to demote or promote products an…
Voice Gender Scoring and Independent Acoustic Characterization of Perceived Masculinity and Femininity
Fuling Chen, Roberto Togneri, Murray Maybery +1
Previous research has found that voices can provide reliable information to be used for gender classification with a high level of accuracy. In social psychology, perceived masculi…
Multi-task Learning Based Spoofing-Robust Automatic Speaker Verification System
Yuanjun Zhao, Roberto Togneri, Victor Sreeram
Spoofing attacks posed by generating artificial speech can severely degrade the performance of a speaker verification system. Recently, many anti-spoofing countermeasures have been…
Multi-Kernel Fusion for RBF Neural Networks
Syed Muhammad Atif, Shujaat Khan, Imran Naseem +2
A simple yet effective architectural design of radial basis function neural networks (RBFNN) makes them amongst the most popular conventional neural networks. The current generatio…
DFraud3- Multi-Component Fraud Detection freeof Cold-start
Saeedreza Shehnepoor, Roberto Togneri, Wei Liu +1
Fraud review detection is a hot research topic inrecent years. The Cold-start is a particularly new but significant problem referring to the failure of a detection system to recogn…
ScoreGAN: A Fraud Review Detector based on Multi Task Learning of Regulated GAN with Data Augmentation
Saeedreza Shehnepoor, Roberto Togneri, Wei Liu +1
The promising performance of Deep Neural Networks (DNNs) in text classification, has attracted researchers to use them for fraud review detection. However, the lack of trusted labe…
Unconstrained Matching of 2D and 3D Descriptors for 6-DOF Pose Estimation
Uzair Nadeem, Mohammed Bennamoun, Roberto Togneri +1
This paper proposes a novel concept to directly match feature descriptors extracted from 2D images with feature descriptors extracted from 3D point clouds. We use this concept to d…
Direct Image to Point Cloud Descriptors Matching for 6-DOF Camera Localization in Dense 3D Point Cloud
Uzair Nadeem, Mohammad A. A. K. Jalwana, Mohammed Bennamoun +2
We propose a novel concept to directly match feature descriptors extracted from RGB images, with feature descriptors extracted from 3D point clouds. We use this concept to localize…
A Novel Adaptive Kernel for the RBF Neural Networks
Shujaat Khan, Imran Naseem, Roberto Togneri +1
In this paper, we propose a novel adaptive kernel for the radial basis function (RBF) neural networks. The proposed kernel adaptively fuses the Euclidean and cosine distance measur…
RAFP-Pred: Robust Prediction of Antifreeze Proteins using Localized Analysis of n-Peptide Compositions
Shujaat Khan, Imran Naseem, Roberto Togneri +1
In extreme cold weather, living organisms produce Antifreeze Proteins (AFPs) to counter the otherwise lethal intracellular formation of ice. Structures and sequences of various AFP…
DataDeps.jl: Repeatable Data Setup for Replicable Data Science
Lyndon White, Roberto Togneri, Wei Liu +1
We present DataDeps.jl: a julia package for the reproducible handling of static datasets to enhance the repeatability of scripts used in the data and computational sciences. It is…
Real Time Surveillance for Low Resolution and Limited-Data Scenarios: An Image Set Classification Approach
Uzair Nadeem, Syed Afaq Ali Shah, Mohammed Bennamoun +2
This paper proposes a novel image set classification technique based on the concept of linear regression. Unlike most other approaches, the proposed technique does not involve any…
Enhanced -Least Mean Square
Shujaat Khan, Alishba Sadiq, Imran Naseem +2
In this work, a new class of stochastic gradient algorithm is developed based on -calculus. Unlike the existing -LMS algorithm, the proposed approach fully utilizes the conce…
A Robust Variable Step Size Fractional Least Mean Square (RVSS-FLMS) Algorithm
Shujaat Khan, Muhammad Usman, Imran Naseem +2
In this paper, we propose an adaptive framework for the variable step size of the fractional least mean square (FLMS) algorithm. The proposed algorithm named the robust variable st…
Learning of Colors from Color Names: Distribution and Point Estimation
Lyndon White, Roberto Togneri, Wei Liu +1
Color names are often made up of multiple words. As a task in natural language understanding we investigate in depth the capacity of neural networks based on sums of word embedding…
Efficient Image Set Classification using Linear Regression based Image Reconstruction
Syed Afaq Ali Shah, Uzair Nadeem, Mohammed Bennamoun +2
We propose a novel image set classification technique using linear regression models. Downsampled gallery image sets are interpreted as subspaces of a high dimensional space to avo…