SVM based context awareness using body area sensor network for pervasive healthcare monitoring. - Sonali Agarwal; Divya; G. N. Pandey (IITM, 2010)

Human computer interface design for neonatal intensive care with data mining. - Sonali Agarwal; G. N. Pandey (IHCI, 2012)

An Emotion Detection System Based on Multi Least Squares Twin Support Vector Machine. - Divya Tomar; Divya Ojha; Sonali Agarwal (Adv. Artif. Intell., 2014)

Direct acyclic graph based multi-class twin support vector machine for pattern classification. - Divya Tomar; Sonali Agarwal (CODS, 2015)

Performance enhancement of distributed K-Means clustering for big Data analytics through in-memory computation. - Shwet Ketu; Sonali Agarwal (IC3, 2015)

Effect of Corpus Size Selection on Performance of Map-Reduce Based Distributed K-Means for Big Textual Data Clustering. - Shwet Ketu; Bakshi Rohit Prasad; Sonali Agarwal (ICCCT, 2015)

High speed streaming data analysis of web generated log streams. - Sonali Agarwal; Bakshi Rohit Prasad (ICIIS, 2015)

Hybrid Feature Selection Based Weighted Least Squares Twin Support Vector Machine Approach for Diagnosing Breast Cancer, Hepatitis, and Diabetes. - Divya Tomar; Sonali Agarwal (Adv. Artif. Neural Syst., 2015)

Mathematical Foundation Based Inter-Connectivity modelling of Thermal Image processing technique for Fire Protection. - Sayantan Nath; Sonali Agarwal; G. N. Pandey (EAI Endorsed Trans. Creative Technol., 2015)

An effective Weighted Multi-class Least Squares Twin Support Vector Machine for Imbalanced data classification. - Divya Tomar; Sonali Agarwal (Int. J. Comput. Intell. Syst., 2015)

A comparison on multi-class classification methods based on least squares twin support vector machine. - Divya Tomar; Sonali Agarwal (Knowl. Based Syst., 2015)

Distributed feature selection using vertical partitioning for high dimensional data. - Bakshi Rohit Prasad; Unmesh Kishor Bendale; Sonali Agarwal (ICACCI, 2016)

Distributed information gain theoretic feature selector using spark. - Bakshi Rohit Prasad; Unmesh Kishor Bendale; Sonali Agarwal (ICIIS, 2016)

MIMLTWSVM: Twin support vector machine for multi-instance multi-label learning. - Divya Tomar; Sonali Agarwal (ICIIS, 2016)

Prediction of Defective Software Modules Using Class Imbalance Learning. - Divya Tomar; Sonali Agarwal (Appl. Comput. Intell. Soft Comput., 2016)

Twin Support Vector Machine for Multiple Instance Learning Based on Bag Dissimilarities. - Divya Tomar; Sonali Agarwal (Adv. Artif. Intell., 2016)

Leaf Recognition for Plant Classification Using Direct Acyclic Graph Based Multi-Class Least Squares Twin Support Vector Machine. - Divya Tomar; Sonali Agarwal (Int. J. Image Graph., 2016)

Cross domain sentiment analysis using transfer learning. - Bharat Gupta; Shivam Awasthi; Parshant Singh; Likhama Ram; Pramod Kumar; Bakshi Rohit Prasad; Sonali Agarwal (ICIIS, 2017)

Evaluation of Knowledge Gaps in Mathematical Applications of Thermal Image Processing Techniques for Fire Prevention. - Sayantan Nath; Sonali Agarwal; G. N. Pandey (ACM Comput. Surv., 2017)

Critical parameter analysis of Vertical Hoeffding Tree for optimized performance using SAMOA. - Bakshi Rohit Prasad; Sonali Agarwal (Int. J. Mach. Learn. Cybern., 2017)

Testing Concept Drift Detection Technique on Data Stream. - Narinder Singh Punn; Sonali Agarwal (BDA, 2018)

Favour prediction of Taxi services using real-time visualization. - Sonali Agrawal; Sanjay Kumar Sonbhadra; Sonali Agarwal (ICACCI, 2018)

Post-Surgical Survival Forecasting of Breast Cancer Patient: A Novel Approach. - Devender Kaushik; Bakshi Rohit Prasad; Sanjay Kumar Sonbhadra; Sonali Agarwal (ICACCI, 2018)

Cardiac Arrhythmia Detection from Single-lead ECG using CNN and LSTM assisted by Oversampling. - Dhwaj Verma; Sonali Agarwal (ICACCI, 2018)

Zynq FPGA Based System Design for Video Surveillance with Sobel Edge Detection. - Sagar Eetha; Sonali Agarwal; Srikanth Neelam (iSES, 2018)

Studying Multifaceted Collaboration of OSS Developers and its Impact on their Bug Fixing Performance. - Mahen Gandhi; Amit Kumar; Yugandhar Desai; Sonali Agarwal (QuASoQ@APSEC, 2019)

Scalable Least Square Twin Support Vector Machine Learning. - Bakshi Rohit Prasad; Sonali Agarwal (DaWaK, 2019)

Crowd Analysis for Congestion Control Early Warning System on Foot Over Bridge. - Narinder Singh Punn; Sonali Agarwal (IC3, 2019)

Anticounterfeiting in Pharmaceutical Supply Chain by establishing Proof of Ownership. - Rohit Raj; Nandini Rai; Sonali Agarwal (TENCON, 2019)

Face Mask Detection Using Transfer Learning of InceptionV3. - G. Jignesh Chowdary; Narinder Singh Punn; Sanjay Kumar Sonbhadra; Sonali Agarwal (BDA, 2020)

Target specific mining of COVID-19 scholarly articles using one-class approach. - Sanjay Kumar Sonbhadra; Sonali Agarwal; P. Nagabhushan (CoRR, 2020)

Monitoring COVID-19 social distancing with person detection and tracking via fine-tuned YOLO v3 and Deepsort techniques. - Narinder Singh Punn; Sanjay Kumar Sonbhadra; Sonali Agarwal (CoRR, 2020)

Unleashing the power of disruptive and emerging technologies amid COVID-19: A detailed review. - Sonali Agarwal; Narinder Singh Punn; Sanjay Kumar Sonbhadra; P. Nagabhushan; K. K. Soundra Pandian; Praveer Saxena (CoRR, 2020)

Enhanced Behavioral Cloning Based self-driving Car Using Transfer Learning. - Uppala Sumanth; Narinder Singh Punn; Sanjay Kumar Sonbhadra; Sonali Agarwal (CoRR, 2020)

Fruit classification using deep feature maps in the presence of deceptive similar classes. - Mohit Dandekar; Narinder Singh Punn; Sanjay Kumar Sonbhadra; Sonali Agarwal (CoRR, 2020)

Early-stage COVID-19 diagnosis in presence of limited posteroanterior chest X-ray images via novel Pinball-OCSVM. - Sanjay Kumar Sonbhadra; Sonali Agarwal; P. Nagabhushan (CoRR, 2020)

CHS-Net: A Deep learning approach for hierarchical segmentation of COVID-19 infected CT images. - Narinder Singh Punn; Sonali Agarwal (CoRR, 2020)

Performance Analysis of Distributed Computing Frameworks for Big Data Analytics: Hadoop Vs Spark. - Shwet Ketu; Pramod Kumar Mishra; Sonali Agarwal (Computación y Sistemas, 2020)

One-class support vector classifiers: A survey. - Shamshe Alam; Sanjay Kumar Sonbhadra; Sonali Agarwal; P. Nagabhushan (Knowl. Based Syst., 2020)

Sample reduction using farthest boundary point estimation (FBPE) for support vector data description (SVDD). - Shamshe Alam; Sanjay Kumar Sonbhadra; Sonali Agarwal; P. Nagabhushan; Muhammad Tanveer 001 (Pattern Recognit. Lett., 2020)

Inception U-Net Architecture for Semantic Segmentation to Identify Nuclei in Microscopy Cell Images. - Narinder Singh Punn; Sonali Agarwal (ACM Trans. Multim. Comput. Commun. Appl., 2020)

COVID-19 Posteroanterior Chest X-Ray fused (CPCXR) dataset. - Narinder Singh Punn; Sonali Agarwal (IEEE DataPort, 2020)

MAG-Net: Multi-task Attention Guided Network for Brain Tumor Segmentation and Classification. - Sachin Gupta; Narinder Singh Punn; Sanjay Kumar Sonbhadra; Sonali Agarwal (BDA, 2021)

Towards Machine Learning to Machine Wisdom: A Potential Quest. - P. Nagabhushan; Sanjay Kumar Sonbhadra; Narinder Singh Punn; Sonali Agarwal (BDA, 2021)

Hate Speech Detection Using Static BERT Embeddings. - Gaurav Rajput; Narinder Singh Punn; Sanjay Kumar Sonbhadra; Sonali Agarwal (BDA, 2021)

Impact of Attention on Adversarial Robustness of Image Classification Models. - Prachi Agrawal; Narinder Singh Punn; Sanjay Kumar Sonbhadra; Sonali Agarwal (IEEE BigData, 2021)

BERT-Based Sentiment Analysis: A Software Engineering Perspective. - Himanshu Batra; Narinder Singh Punn; Sanjay Kumar Sonbhadra; Sonali Agarwal (DEXA (1), 2021)

Discovering Fuzzy Frequent Spatial Patterns in Large Quantitative Spatiotemporal databases. - Pamalla Veena; Sai Chithra Bommisetty; R. Uday Kiran; Sonali Agarwal; Koji Zettsu (FUZZ-IEEE, 2021)

Recommending Best Course of Treatment Based on Similarities of Prognostic Markers. - Sudhanshu; Narinder Singh Punn; Sanjay Kumar Sonbhadra; Sonali Agarwal (ICONIP (2), 2021)

Target Class Supervised Sample Length and Training Sample Reduction of Univariate Time Series. - Sanjay Kumar Sonbhadra; Sonali Agarwal; P. Nagabhushan (IEA/AIE (2), 2021)

Fruit classification using deep feature maps in the presence of deceptive similar classes. - Mohit Dandekar; Narinder Singh Punn; Sanjay Kumar Sonbhadra; Sonali Agarwal; Rage Uday Kiran (IJCNN, 2021)

Addressing the Class Imbalance Problem in Medical Image Segmentation via Accelerated Tversky Loss Function. - Nikhil Nasalwai; Narinder Singh Punn; Sanjay Kumar Sonbhadra; Sonali Agarwal (PAKDD (3), 2021)

Automated diagnosis of COVID-19 with limited posteroanterior chest X-ray images using fine-tuned deep neural networks. - Narinder Singh Punn; Sonali Agarwal (Appl. Intell., 2021)

A Shrewd Artificial Neural Network-Based Hybrid Model for Pervasive Stress Detection of Students Using Galvanic Skin Response and Electrocardiogram Signals. - Sadhana Tiwari; Sonali Agarwal (Big Data, 2021)

Web based disease prediction and recommender system. - Harish Rajora; Narinder Singh Punn; Sanjay Kumar Sonbhadra; Sonali Agarwal (CoRR, 2021)

MAG-Net: Mutli-task attention guided network for brain tumor segmentation and classification. - Sachin Gupta; Narinder Singh Punn; Sanjay Kumar Sonbhadra; Sonali Agarwal (CoRR, 2021)

White blood cell subtype detection and classification. - Nalla Praveen; Narinder Singh Punn; Sanjay Kumar Sonbhadra; Sonali Agarwal (CoRR, 2021)

Design development and performance analysis of distributed least square twin support vector machine for binary classification. - Bakshi Rohit Prasad; Sonali Agarwal (Turkish J. Electr. Eng. Comput. Sci., 2021)

Learning Target Class Feature Subspace (LTC-FS) Using Eigenspace Analysis and N-ary Search-Based Autonomous Hyperparameter Tuning for OCSVM. - Sanjay Kumar Sonbhadra; Sonali Agarwal; P. Nagabhushan (Int. J. Pattern Recognit. Artif. Intell., 2021)

Leveraging multifaceted proximity measures among developers in predicting future collaborations to improve the social capital of software projects. - Amit Kumar; Sonali Agarwal (J. Univers. Comput. Sci., 2021)

Multi-modality encoded fusion with 3D inception U-net and decoder model for brain tumor segmentation. - Narinder Singh Punn; Sonali Agarwal (Multim. Tools Appl., 2021)

Disease diagnosis and recommended remedy. - Sudhanshu; Narinder Singh Punn; Sanjay Kumar Sonbhadra; Sonali Agarwal (IEEE DataPort, 2021)

Emotional Status Determination using Physiological Parameters Data Set. - Sadhana Tiwari; Sonali Agarwal (IEEE DataPort, 2021)

Software Testing and Quality Assurance for Data Intensive Applications. - Sonali Agarwal; Sanjay Kumar Sonbhadra; Narinder Singh Punn (EASE, 2022)

Anomaly Detection in Surveillance Videos Using Transformer Based Attention Model. - Kapil Deshpande; Narinder Singh Punn; Sanjay Kumar Sonbhadra; Sonali Agarwal (ICONIP (7), 2022)

Impact of the Composition of Feature Extraction and Class Sampling in Medicare Fraud Detection. - Akrity Kumari; Narinder Singh Punn; Sanjay Kumar Sonbhadra; Sonali Agarwal (ICONIP (3), 2022)

An Optimized Hybrid Solution for IoT Based Lifestyle Disease Classification Using Stress Data. - Sadhana Tiwari; Ritesh Chandra; Sonali Agarwal (ICONIP (7), 2022)

Modality specific U-Net variants for biomedical image segmentation: a survey. - Narinder Singh Punn; Sonali Agarwal (Artif. Intell. Rev., 2022)

Empirical Analysis of Lifelog Data using Optimal Feature Selection based Unsupervised Logistic Regression (OFS-ULR) Model with Spark Streaming. - Sadhana Tiwari; Sonali Agarwal (CoRR, 2022)

An optimized hybrid solution for IoT based lifestyle disease classification using stress data. - Sadhana Tiwari; Sonali Agarwal (CoRR, 2022)

Forecasting COVID- 19 cases using Statistical Models and Ontology-based Semantic Modelling: A real time data analytics approach. - Sadhana Tiwari; Ritesh Chandra; Sonali Agarwal (CoRR, 2022)

Semantic sensor network ontology based decision support system for forest fire management. - Ritesh Chandra; Sonali Agarwal; Navjot Singh (Ecol. Informatics, 2022)

Learning target class eigen subspace (LTC-ES) via eigen knowledge grid. - Sanjay Kumar Sonbhadra; Sonali Agarwal; P. Nagabhushan (Turkish J. Electr. Eng. Comput. Sci., 2022)

BT-Unet: A self-supervised learning framework for biomedical image segmentation using barlow twins with U-net models. - Narinder Singh Punn; Sonali Agarwal (Mach. Learn., 2022)

RCA-IUnet: a residual cross-spatial attention-guided inception U-Net model for tumor segmentation in breast ultrasound imaging. - Narinder Singh Punn; Sonali Agarwal (Mach. Vis. Appl., 2022)

CHS-Net: A Deep Learning Approach for Hierarchical Segmentation of COVID-19 via CT Images. - Narinder Singh Punn; Sonali Agarwal (Neural Process. Lett., 2022)

A Personalized Cancer Diagnosis using Text based Clinical Data with Machine Learning Models. - Anand Geed; Ritesh Chandra; Sadhana Tiwari; Sonali Agarwal; Krishna Pratap Singh (OCIT, 2023)

AI-Enabled Learning for Imbalanced Class Data using Spark Streaming Concepts. - Sadhana Tiwari; Mohammad Zohair; Ritesh Chandra; Sonali Agarwal; Parikshit Agarwal (OCIT, 2023)

Predicting Habitable Exoplanets in Different Star-Systems Using Deep Learning Based Anomaly Detection Approach. - Yash Patel; Sadhana Tiwari; Sanjay Kumar Sonbhadra; Sonali Agarwal (IJCNN, 2023)

Semantic rule Web-based Diagnosis and Treatment of Vector-Borne Diseases using SWRL rules. - Ritesh Chandra; Sadhana Tiwari; Sonali Agarwal; Navjot Singh (CoRR, 2023)

A Decision Support System for Liver Diseases Prediction: Integrating Batch Processing, Rule-Based Event Detection and SPARQL Query. - Ritesh Chandra; Sadhana Tiwari; Satyam Rastogi; Sonali Agarwal (CoRR, 2023)

Empirical analysis of chronic disease dataset for multiclass classification using optimal feature selection based hybrid model with spark streaming. - Sadhana Tiwari; Sonali Agarwal (Future Gener. Comput. Syst., 2023)

Handling catastrophic forgetting using cross-domain order in incremental deep learning. - Ashutosh Kumar; Sonali Agarwal (J. Electronic Imaging, 2023)

Semantic web-based diagnosis and treatment of vector-borne diseases using SWRL rules. - Ritesh Chandra; Sadhana Tiwari; Sonali Agarwal; Navjot Singh (Knowl. Based Syst., 2023)

Target-class guided sample length reduction and training set selection of univariate time-series. - Sanjay Kumar Sonbhadra; Sonali Agarwal; P. Nagabhushan (Appl. Intell., 2023)

Melanoma Classification using GAN based augmentation and Self-Supervised feature extraction. - Akanksha Lal; Sadhana Tiwari; Rushil Patra; Sonali Agarwal (IEEE Big Data, 2024)

An Enhancement of Breast Cancer Abnormalities Detection Using Deep CNN. - Ritesh Chandra; Shashi Shekhar Kumar; Sadhana Tiwari; Rushil Patra; Sonali Agarwal (OCIT, 2024)

Prevalence and Prediction of Unseen Co-Changes: A Graph-Based Approach. - Amit Kumar; Ethari Hrishikesh; Yugandhar Deasi; Sonali Agarwal (COMPSAC, 2024)

Unleashing Password Potential: VAEs vs GANs in a Password Guessing Duel. - Siddhant Salve; Narinder Singh Punn; Deepak Kumar Dewangan; Sonali Agarwal (CVMI, 2024)

Knowledge Retention in Incremental Learning using Deep Neural Networks. - Ashutosh Kumar; Sonali Agarwal (ICCCNT, 2024)

Incremental Learning in Generative Adversarial Networks(GANs) using Pseudo Replay to overcome Catastrophic Forgetting. - Ashutosh Kumar; Sonali Agarwal (ICCCNT, 2024)

Geolocated Event Detection using Graph Mining Approach on Real-Time Multimodal Data. - Medha Mishra; Sadhana Tiwari; Ritesh Chandra; Sonali Agarwal; Sanjay Kumar Sonbhadra (ICCCNT, 2024)

Rule based Complex Event Processing for an Air Quality Monitoring System in Smart City. - Shashi Shekhar Kumar; Ritesh Chandra; Sonali Agarwal (CoRR, 2024)

A Methodology-Oriented Study of Catastrophic Forgetting in Incremental Deep Neural Networks. - Ashutosh Kumar; Sonali Agarwal; D. Jude Hemanth (CoRR, 2024)

Decision support system for Forest fire management using Ontology with Big Data and LLMs. - Ritesh Chandra; Shashi Shekhar Kumar; Rushil Patra; Sonali Agarwal (CoRR, 2024)

A framework for developing a knowledge management platform. - Marie Lisandra Zepeda Mendoza; Sonali Agarwal; James A. Blackshaw; Vanesa Bol; Audrey Fazzi; Filippo Fiorini; Amy Louise Foreman; Nancy George; Brett R. Johnson; Brian Martin; Dave McComb; Euphemia Mutasa-Gottgens; et al. (CoRR, 2024)

MLtoGAI: Semantic Web based with Machine Learning for Enhanced Disease Prediction and Personalized Recommendations using Generative AI. - Shyam Dongre; Ritesh Chandra; Sonali Agarwal (CoRR, 2024)

Fuzzy Rule based Intelligent Cardiovascular Disease Prediction using Complex Event Processing. - Shashi Shekhar Kumar; Anurag Harsh; Ritesh Chandra; Sonali Agarwal (CoRR, 2024)

Pinball-OCSVM for Early-Stage COVID-19 Diagnosis with Limited Posteroanterior Chest X-Ray Images. - Sanjay Kumar Sonbhadra; Sonali Agarwal; P. Nagabhushan (Int. J. Pattern Recognit. Artif. Intell., 2024)

Rule based complex event processing for IoT applications: Review, classification and challenges. - Shashi Shekhar Kumar; Sonali Agarwal (Expert Syst. J. Knowl. Eng., 2024)

A real-time approach for smart building operations prediction using rule-based complex event processing and SPARQL query. - Shashi Shekhar Kumar; Ritesh Chandra; Sonali Agarwal (J. Supercomput., 2024)

Multimodal Data-Driven Classification of Mental Disorders: A Comprehensive Approach to Diagnosing Depression, Anxiety, and Schizophrenia. - Himanshi Singh; Sadhana Tiwari; Sonali Agarwal; Ritesh Chandra; Sanjay Kumar Sonbhadra; Vrijendra Singh (CoRR, 2025)

Innovative Framework for Early Estimation of Mental Disorder Scores to Enable Timely Interventions. - Himanshi Singh; Sadhana Tiwari; Sonali Agarwal; Ritesh Chandra; Sanjay Kumar Sonbhadra; Vrijendra Singh (CoRR, 2025)

OCEP: An Ontology-Based Complex Event Processing Framework for Healthcare Decision Support in Big Data Analytics. - Ritesh Chandra; Sonali Agarwal; Shashi Shekhar Kumar; Navjot Singh (CoRR, 2025)

Multimodal image fusion on ECG signals for congestive heart failure classification. - Riya Panchal; Sadhana Tiwari; Sonali Agarwal (Multim. Tools Appl., 2025)

Co-Change Graph Entropy: A New Process Metric for Defect Prediction. - Ethari Hrishikesh; Amit Kumar; Meher Bhardwaj; Sonali Agarwal (CoRR, 2025)

A diagnosis and treatment of liver diseases: integrating batch processing, rule-based event detection and explainable artificial intelligence. - Ritesh Chandra; Sadhana Tiwari; Satyam Rastogi; Sonali Agarwal (Evol. Syst., 2025)