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ORCIDSatwinder Singh
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[j19]Arshdeep Kaur, Meenakshi Mittal, Jasvinder Singh Bhatti, Suresh Thareja, Satwinder Singh:
A systematic literature review on the significance of deep learning and machine learning in predicting Alzheimer's disease. Artif. Intell. Medicine 154: 102928 (2024)- [j18]Krishna Kumar, Nakkala Srinivas Mudiraj, Meenakshi Mittal, Satwinder Singh
:
Fine-tuned convolutional neural networks for feature extraction and classification of scanned document images using semi-automatic labelling approach. Int. J. Intell. Eng. Informatics 12(1): 103-134 (2024) - 2023
- [j17]Asadullah Safi, Satwinder Singh:
A systematic literature review on phishing website detection techniques. J. King Saud Univ. Comput. Inf. Sci. 35(2): 590-611 (2023) - [j16]Satwinder Singh, Harpreet Kaur, Rubal Kanozia, Gurpreet Kaur:
Empirical Analysis of Supervised and Unsupervised Machine Learning Algorithms with Aspect-Based Sentiment Analysis. Appl. Comput. Syst. 28(1): 125-136 (2023) - [j15]Dilshad Kaur, Satwinder Singh:
Building English - Punjabi Aligned Parallel Corpora of Nouns from Comparable Corpora. Appl. Comput. Syst. 28(2): 245-251 (2023) - [c12]Satwinder Singh, Feng Hou, Ruili Wang:
A Novel Self-training Approach for Low-resource Speech Recognition. INTERSPEECH 2023: 1588-1592 - [c11]Chengxi Lei, Satwinder Singh, Feng Hou, Xiaoyun Jia, Ruili Wang:
PhasePerturbation: Speech Data Augmentation via Phase Perturbation for Automatic Speech Recognition. MMAsia (Workshops) 2023: 2:1-2:6 - [i6]Satwinder Singh, Feng Hou, Ruili Wang:
A Novel Self-training Approach for Low-resource Speech Recognition. CoRR abs/2308.05269 (2023) - [i5]Chengxi Lei, Satwinder Singh, Feng Hou, Xiaoyun Jia, Ruili Wang:
PhasePerturbation: Speech Data Augmentation via Phase Perturbation for Automatic Speech Recognition. CoRR abs/2312.08571 (2023) - 2022
- [j14]Yuanhang Qiu, Ruili Wang, Feng Hou, Satwinder Singh, Zhizhong Ma, Xiaoyun Jia:
Adversarial multi-task learning with inverse mapping for speech enhancement. Appl. Soft Comput. 120: 108568 (2022) - [j13]Satwinder Singh, Himanshu Beniwal:
A survey on near-human conversational agents. J. King Saud Univ. Comput. Inf. Sci. 34(10 Part A): 8852-8866 (2022) - [c10]Satwinder Singh, Ruili Wang, Feng Hou:
Improved Meta Learning for Low Resource Speech Recognition. ICASSP 2022: 4798-4802 - [c9]Zhihan Wang, Feng Hou, Yuanhang Qiu, Zhizhong Ma, Satwinder Singh, Ruili Wang:
CyclicAugment: Speech Data Random Augmentation with Cosine Annealing Scheduler for Auotmatic Speech Recognition. INTERSPEECH 2022: 3859-3863 - [c8]Zhizhong Ma, Satwinder Singh, Yuanhang Qiu, Feng Hou, Ruili Wang, Christopher Bullen, Joanna Ting Wai Chu:
Automatic Speech-Based Smoking Status Identification. SAI (3) 2022: 193-203 - [i4]Satwinder Singh, Ruili Wang, Feng Hou:
Improved Meta Learning for Low Resource Speech Recognition. CoRR abs/2205.06182 (2022) - 2021
- [j12]Sharanpreet Kaur, Satwinder Singh:
COVID-19 Infection and Air Pollution Characteristics in USA. Int. J. Appl. Evol. Comput. 12(2): 16-35 (2021) - [c7]Satwinder Singh, Ruili Wang, Yuanhang Qiu:
DeepF0: End-To-End Fundamental Frequency Estimation for Music and Speech Signals. ICASSP 2021: 61-65 - [c6]Yuanhang Qiu, Ruili Wang, Satwinder Singh, Zhizhong Ma, Feng Hou:
Self-Supervised Learning Based Phone-Fortified Speech Enhancement. Interspeech 2021: 211-215 - [i3]Satwinder Singh, Ruili Wang, Yuanhang Qiu:
DEEPF0: End-To-End Fundamental Frequency Estimation for Music and Speech Signals. CoRR abs/2102.06306 (2021) - [i2]Zhizhong Ma, Chris Bullen, Joanna Ting Wai Chu, Ruili Wang, Yingchun Wang, Satwinder Singh:
Towards the Objective Speech Assessment of Smoking Status based on Voice Features: A Review of the Literature. CoRR abs/2106.07874 (2021) - 2020
- [j11]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:
Overcoming Abdominal and Pelvic Cavity Workspace Constraints in Robotic-Assisted NOTES. J. Robotics 2020: 8590539:1-8590539:8 (2020) - [c5]Sagarika Paul, Satwinder Singh:
Soil Moisture Prediction Using Machine Learning Techniques. CIIS 2020: 1-7
2010 – 2019
- 2018
- [c4]Davide Maspero, Alex Graudenzi, Satwinder Singh, Dario Pescini, Giancarlo Mauri, Marco Antoniotti, Chiara Damiani:
Synchronization Effects in a Metabolism-Driven Model of Multi-cellular System. WIVACE 2018: 115-126 - [i1]Junaid Ali Reshi, Satwinder Singh:
Predicting Software Defects through SVM: An Empirical Approach. CoRR abs/1803.03220 (2018) - 2017
- [j10]Satwinder Singh, Rozy Singla:
Classification of defective modules using object-oriented metrics. Int. J. Intell. Syst. Technol. Appl. 16(1): 1-13 (2017) - [j9]David Navarro-Alarcon, Satwinder Singh, Tianxue Zhang, Hayley Louise Chung, Kwun Wang Ng, Man Kiu Chow, Yunhui Liu:
Developing a Compact Robotic Needle Driver for MRI-Guided Breast Biopsy in Tight Environments. IEEE Robotics Autom. Lett. 2(3): 1648-1655 (2017) - 2016
- [j8]Satwinder Singh, Ekta Singla:
Realization of task-based designs involving DH parameters: a modular approach. Intell. Serv. Robotics 9(3): 289-296 (2016) - [j7]Satwinder Singh, Ekta Singla:
Service Arms with Unconventional Robotic Parameters for Intricate Workstations: Optimal Number and Dimensional Synthesis. J. Robotics 2016: 3537068:1-3537068:11 (2016) - [c3]Satwinder Singh, Rozy Singla:
Comparative Performance of Fault-Prone Prediction Classes with K-means Clustering and MLP. ICTCS 2016: 65:1-65:7 - 2014
- [j6]Raminder Kaur, Satwinder Singh:
Clone detection in software source code using operational similarity of statements. ACM SIGSOFT Softw. Eng. Notes 39(3): 1-5 (2014) - [j5]Satwinder Singh, Raminder Kaur:
Clone detection in UML class models using class metrics. ACM SIGSOFT Softw. Eng. Notes 39(3): 1-3 (2014) - 2013
- [j4]Satwinder Singh, Puneet Mittal, Karanjeet Singh Kahlon:
Empirical model for predicting high, medium and low severity faults using object oriented metrics in Mozilla Firefox. Int. J. Comput. Appl. Technol. 47(2/3): 110-124 (2013) - [j3]Pavitdeep Singh, Satwinder Singh, Jatinder Kaur:
Tool for generating code metrics for C# source code using abstract syntax tree technique. ACM SIGSOFT Softw. Eng. Notes 38(5): 1-6 (2013) - 2012
- [j2]Satwinder Singh, Karanjeet Singh Kahlon:
Effectiveness of refactoring metrics model to identify smelly and error prone classes in open source software. ACM SIGSOFT Softw. Eng. Notes 37(2): 1-11 (2012) - 2011
- [j1]Satwinder Singh, Karanjeet Singh Kahlon:
Effectiveness of encapsulation and object-oriented metrics to refactor code and identify error prone classes using bad smells. ACM SIGSOFT Softw. Eng. Notes 36(5): 1-10 (2011) - [c2]Puneet Mittal, Satwinder Singh, Karanjeet Singh Kahlon:
Identification of Error Prone Classes for Fault Prediction Using Object Oriented Metrics. ACC (2) 2011: 58-68
2000 – 2009
- 2005
- [c1]Satwinder Singh, Karanjeet Singh Kahlon, Rakesh Kumar, Gurjeet Singh:
Translator Design to Model Cpp Files. WEC (5) 2005: 18-21
Coauthor Index
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last updated on 2024-10-07 21:25 CEST by the dblp team
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