Satwinder Singh

According to our database, Satwinder Singh authored at least 34 papers between 2005 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Fine-tuned convolutional neural networks for feature extraction and classification of scanned document images using semi-automatic labelling approach.

Krishna Kumar, Nakkala Srinivas Mudiraj, Meenakshi Mittal, Satwinder Singh

Int. J. Intell. Eng. Informatics, 2024

A systematic literature review on the significance of deep learning and machine learning in predicting Alzheimer's disease.

Arshdeep Kaur, Meenakshi Mittal, Jasvinder Singh Bhatti, Suresh Thareja, Satwinder Singh

Artif. Intell. Medicine, 2024

Mix-fine-tune: An Alternate Fine-tuning Strategy for Domain Adaptation and Generalization of Low-resource ASR.

Chengxi Lei, Satwinder Singh, Feng Hou, Ruili Wang

Proceedings of the 6th ACM International Conference on Multimedia in Asia, 2024

2023

Empirical Analysis of Supervised and Unsupervised Machine Learning Algorithms with Aspect-Based Sentiment Analysis.

Satwinder Singh, Harpreet Kaur, Rubal Kanozia, Gurpreet Kaur

Appl. Comput. Syst., June, 2023

A systematic literature review on phishing website detection techniques.

Asadullah Safi, Satwinder Singh

J. King Saud Univ. Comput. Inf. Sci., February, 2023

Building English - Punjabi Aligned Parallel Corpora of Nouns from Comparable Corpora.

Dilshad Kaur, Satwinder Singh

Appl. Comput. Syst., 2023

PhasePerturbation: Speech Data Augmentation via Phase Perturbation for Automatic Speech Recognition.

Chengxi Lei, Satwinder Singh, Feng Hou, Xiaoyun Jia, Ruili Wang

Proceedings of the ACM Multimedia Asia Workshops, 2023

A Novel Self-training Approach for Low-resource Speech Recognition.

Satwinder Singh, Feng Hou, Ruili Wang

Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

2022

A survey on near-human conversational agents.

Satwinder Singh, Himanshu Beniwal

J. King Saud Univ. Comput. Inf. Sci., 2022

Adversarial multi-task learning with inverse mapping for speech enhancement.

Yuanhang Qiu, Ruili Wang, Feng Hou, Satwinder Singh, Zhizhong Ma, Xiaoyun Jia

Appl. Soft Comput., 2022

Automatic Speech-Based Smoking Status Identification.

Zhizhong Ma, Satwinder Singh, Yuanhang Qiu, Feng Hou, Ruili Wang, Christopher Bullen, Joanna Ting Wai Chu

Proceedings of the Intelligent Computing, 2022

CyclicAugment: Speech Data Random Augmentation with Cosine Annealing Scheduler for Auotmatic Speech Recognition.

Zhihan Wang, Feng Hou, Yuanhang Qiu, Zhizhong Ma, Satwinder Singh, Ruili Wang

Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

Improved Meta Learning for Low Resource Speech Recognition.

Satwinder Singh, Ruili Wang, Feng Hou

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

COVID-19 Infection and Air Pollution Characteristics in USA.

Sharanpreet Kaur, Satwinder Singh

Int. J. Appl. Evol. Comput., 2021

Towards the Objective Speech Assessment of Smoking Status based on Voice Features: A Review of the Literature.

Zhizhong Ma, Chris Bullen, Joanna Ting Wai Chu, Ruili Wang, Yingchun Wang, Satwinder Singh

CoRR, 2021

Self-Supervised Learning Based Phone-Fortified Speech Enhancement.

Yuanhang Qiu, Ruili Wang, Satwinder Singh, Zhizhong Ma, Feng Hou

Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

DeepF0: End-To-End Fundamental Frequency Estimation for Music and Speech Signals.

Satwinder Singh, Ruili Wang, Yuanhang Qiu

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

Overcoming Abdominal and Pelvic Cavity Workspace Constraints in Robotic-Assisted NOTES.

Chung-Kwong Yeung, Kwok-Wai Lam, Jo Lai-Ken Cheung, Adelina Tjokronegoro, Chuk Shing Jones Law, Satwinder Singh, Chi-Chung Foo, Biji Sreedhar, Xuyen Dai Hoa

J. Robotics, 2020

Soil Moisture Prediction Using Machine Learning Techniques.

Sagarika Paul, Satwinder Singh

Proceedings of the CIIS 2020: The 3rd International Conference on Computational Intelligence and Intelligent Systems, 2020

2018

Predicting Software Defects through SVM: An Empirical Approach.

Junaid Ali Reshi, Satwinder Singh

CoRR, 2018

Synchronization Effects in a Metabolism-Driven Model of Multi-cellular System.

Davide Maspero, Alex Graudenzi, Satwinder Singh, Dario Pescini, Giancarlo Mauri, Marco Antoniotti, Chiara Damiani

Proceedings of the Artificial Life and Evolutionary Computation - 13th Italian Workshop, 2018

2017

Developing a Compact Robotic Needle Driver for MRI-Guided Breast Biopsy in Tight Environments.

David Navarro-Alarcon, Satwinder Singh, Tianxue Zhang, Hayley Louise Chung, Kwun Wang Ng, Man Kiu Chow, Yunhui Liu

IEEE Robotics Autom. Lett., 2017

Classification of defective modules using object-oriented metrics.

Satwinder Singh, Rozy Singla

Int. J. Intell. Syst. Technol. Appl., 2017

2016

Service Arms with Unconventional Robotic Parameters for Intricate Workstations: Optimal Number and Dimensional Synthesis.

Satwinder Singh, Ekta Singla

J. Robotics, 2016

Realization of task-based designs involving DH parameters: a modular approach.

Satwinder Singh, Ekta Singla

Intell. Serv. Robotics, 2016

Comparative Performance of Fault-Prone Prediction Classes with K-means Clustering and MLP.

Satwinder Singh, Rozy Singla

ICTCS, 2016

2014

Clone detection in UML class models using class metrics.

Satwinder Singh, Raminder Kaur

ACM SIGSOFT Softw. Eng. Notes, 2014

Clone detection in software source code using operational similarity of statements.

Raminder Kaur, Satwinder Singh

ACM SIGSOFT Softw. Eng. Notes, 2014

2013

Tool for generating code metrics for C# source code using abstract syntax tree technique.

Pavitdeep Singh, Satwinder Singh, Jatinder Kaur

ACM SIGSOFT Softw. Eng. Notes, 2013

Empirical model for predicting high, medium and low severity faults using object oriented metrics in Mozilla Firefox.

Satwinder Singh, Puneet Mittal, Karanjeet Singh Kahlon

Int. J. Comput. Appl. Technol., 2013

2012

Effectiveness of refactoring metrics model to identify smelly and error prone classes in open source software.

Satwinder Singh, Karanjeet Singh Kahlon

ACM SIGSOFT Softw. Eng. Notes, 2012

2011

Effectiveness of encapsulation and object-oriented metrics to refactor code and identify error prone classes using bad smells.

Satwinder Singh, Karanjeet Singh Kahlon

ACM SIGSOFT Softw. Eng. Notes, 2011

Identification of Error Prone Classes for Fault Prediction Using Object Oriented Metrics.

Puneet Mittal, Satwinder Singh, Karanjeet Singh Kahlon

Proceedings of the Advances in Computing and Communications, 2011

2005

Translator Design to Model Cpp Files.

Satwinder Singh, Karanjeet Singh Kahlon, Rakesh Kumar, Gurjeet Singh

Proceedings of the Third World Enformatika Conference, 2005