Target Recognition in Infrared Imagery Using Convolutional Neural Network. - Aparna Akula; Arshdeep Singh; Ripul Ghosh; Satish Kumar; Harish Kumar Sardana (CVIP (2), 2016)

A Layer-wise Score Level Ensemble Framework for Acoustic Scene Classification. - Arshdeep Singh; Anshul Thakur; Padmanabhan Rajan; Arnav Bhavsar (EUSIPCO, 2018)

APE: Archetypal-Prototypal Embeddings for Audio Classification. - Arshdeep Singh; Anshul Thakur; Padmanabhan Rajan (MLSP, 2018)

Convex likelihood alignments for bioacoustic Classification. - Anshul Thakur; Arshdeep Singh; Padmanabhan Rajan (MLSP, 2018)

Deep Multi-view Features from Raw Audio for Acoustic Scene Classification. - Arshdeep Singh; Padmanabhan Rajan; Arnav Bhavsar (DCASE, 2019)

Deep Hidden Analysis: A Statistical Framework to Prune Feature Maps. - Arshdeep Singh; Padmanabhan Rajan; Arnav Bhavsar (ICASSP, 2019)

Embedded CNN based vehicle classification and counting in non-laned road traffic. - Mayank Singh Chauhan; Arshdeep Singh; Mansi Khemka; Arneish Prateek; Rijurekha Sen (ICTD, 2019)

SVD-based redundancy removal in 1-D CNNs for acoustic scene classification. - Arshdeep Singh; Padmanabhan Rajan; Arnav Bhavsar (Pattern Recognit. Lett., 2020)

Batching and Matching for Food Delivery in Dynamic Road Networks. - Manas Joshi; Arshdeep Singh; Sayan Ranu; Amitabha Bagchi; Priyank Karia; Puneet Kala (ICDE, 2021)

Finding High-Value Training Data Subset Through Differentiable Convex Programming. - Soumi Das; Arshdeep Singh; Saptarshi Chatterjee; Suparna Bhattacharya; Sourangshu Bhattacharya (ECML/PKDD (2), 2021)

Transfer learning-based approach for detecting COVID-19 ailment in lung CT scan. - Vinay Arora; Eddie-Yin-Kwee Ng; Rohan Singh Leekha; Medhavi Darshan; Arshdeep Singh (Comput. Biol. Medicine, 2021)

Health Monitoring of Industrial machines using Scene-Aware Threshold Selection. - Arshdeep Singh; Raju Arvind; Padmanabhan Rajan (CoRR, 2021)

PoSC: Combined Score for Consensus in Intemet-of-Things Applications. - Arshdeep Singh; Rahul Saha; Mauro Conti; Gulshan Kumar (BCCA, 2022)

Low-Complexity CNNs for Acoustic Scene Classification. - Arshdeep Singh; Mark D. Plumbley (DCASE, 2022)

Continual Learning for On-Ddevice Environmental Sound Classification. - Yang Xiao; Xubo Liu 001; James A. King; Arshdeep Singh; Eng Siong Chng; Mark D. Plumbley; Wenwu Wang 001 (DCASE, 2022)

A Passive Similarity based CNN Filter Pruning for Efficient Acoustic Scene Classification. - Arshdeep Singh; Mark D. Plumbley (INTERSPEECH, 2022)

1-D CNN based Acoustic Scene Classification via Reducing Layer-wise Dimensionality. - Arshdeep Singh (CoRR, 2022)

Continual Learning For On-Device Environmental Sound Classification. - Yang Xiao; Xubo Liu 001; James A. King; Arshdeep Singh; Eng Siong Chng; Mark D. Plumbley; Wenwu Wang 001 (CoRR, 2022)

Low-complexity CNNs for Acoustic Scene Classification. - Arshdeep Singh; James A. King; Xubo Liu 001; Wenwu Wang 001; Mark D. Plumbley (CoRR, 2022)

A survey and taxonomy of consensus protocols for blockchains. - Arshdeep Singh; Gulshan Kumar; Rahul Saha; Mauro Conti; Mamoun Alazab; Reji Thomas (J. Syst. Archit., 2022)

FoodMatch: Batching and Matching for Food Delivery in Dynamic Road Networks. - Manas Joshi; Arshdeep Singh; Sayan Ranu; Amitabha Bagchi; Priyank Karia; Puneet Kala (ACM Trans. Spatial Algorithms Syst., 2022)

A Review of Recent Developments and Challenges in the Selection of Design Parameters for Green Hydrogen Electric Vehicles. - Rajesh M. Pindoriya; Harshvardhan Golechha; Ankit Kumar; Vineet Ahuja; Anubhav Sharma; Arshdeep Singh; Sarthak Jain (IAS, 2023)

Efficient Similarity-Based Passive Filter Pruning for Compressing CNNS. - Arshdeep Singh; Mark D. Plumbley (ICASSP, 2023)

Mining and Fusing Productivity Metrics with Code Quality Information at Scale. - Harsh Mukeshkumar Shah; Qurram Zaheer Syed; Bharatwaaj Shankaranarayanan; Indranil Palit; Arshdeep Singh; Kavya Raval; Kishan Savaliya; Tushar Sharma 001 (ICSME, 2023)

Compressing Audio CNNS with Graph Centrality Based Filter Pruning. - James A. King; Arshdeep Singh; Mark D. Plumbley (WASPAA, 2023)

Efficient CNNs via Passive Filter Pruning. - Arshdeep Singh; Mark D. Plumbley (CoRR, 2023)

E-PANNs: Sound Recognition Using Efficient Pre-trained Audio Neural Networks. - Arshdeep Singh; Haohe Liu; Mark D. Plumbley (CoRR, 2023)

Audio Tagging on an Embedded Hardware Platform. - Gabriel Bibbó; Arshdeep Singh; Mark D. Plumbley (CoRR, 2023)

Integrating Summarization and Retrieval for Enhanced Personalization via Large Language Models. - Christopher Richardson; Yao Zhang; Kellen Gillespie; Sudipta Kar; Arshdeep Singh; Zeynab Raeesy; Omar Zia Khan; Abhinav Sethy (CoRR, 2023)

Hand gestures recognition using edge computing system based on vision transformer and lightweight CNN. - Khushi Gupta; Arshdeep Singh; Sreenivasa Reddy Yeduri; M. B. Srinivas; Linga Reddy Cenkeramaddi (J. Ambient Intell. Humaniz. Comput., 2023)

Efficient CNNs with Quaternion Transformations and Pruning for Audio Tagging. - Aryan Chaudhary; Arshdeep Singh; Vinayak Abrol; Mark D. Plumbley (INTERSPEECH, 2024)

Investigating Passive Filter Pruning for Efficient CNN-Transformer Audio Captioning. - Xuenan Xu; Arshdeep Singh; Mengyue Wu; Wenwu Wang 001; Mark D. Plumbley (MLSP, 2024)

Integrating IP Broadcasting with Audio Tags: Workflow and Challenges. - Rhys Burchett-Vass; Arshdeep Singh; Gabriel Bibbó; Mark D. Plumbley (CoRR, 2024)

Impact of Transmission Dynamics and Treatment Uptake, Frequency and Timing on the Cost-effectiveness of Directly Acting Antivirals for Hepatitis C Virus Infection. - Soham Das 002; Ajit Sood; Vandana Midha; Arshdeep Singh; Pranjl Sharma; Varun Ramamohan (CoRR, 2024)

The Sounds of Home: A Speech-Removed Residential Audio Dataset for Sound Event Detection. - Gabriel Bibbó; Thomas Deacon; Arshdeep Singh; Mark D. Plumbley (CoRR, 2024)

Facial emotion recognition and music recommendation system using CNN-based deep learning techniques. - Brijesh Bakariya; Arshdeep Singh; Harmanpreet Singh; Pankaj Raju; Rohit Rajpoot; Krishna Kumar Mohbey (Evol. Syst., 2024)

Classifying chest x-rays for COVID-19 through transfer learning: a systematic review. - Devanshi Mallick; Arshdeep Singh; Eddie Yin-Kwee Ng; Vinay Arora (Multim. Tools Appl., 2025)

Scalable Substructure Discovery Algorithm For Homogeneous Multilayer Networks. - Arshdeep Singh; Abhishek Santra; Sharma Chakravarthy (CoRR, 2025)