Sonali Agarwal

Publication Activity (10 Years)

Years Active: 2010-2023
Publications (10 Years): 89

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Top Venues

Publications

Yash Patel, Sadhana Tiwari, Sanjay Kumar Sonbhadra, Sonali Agarwal
Predicting Habitable Exoplanets in Different Star-Systems Using Deep Learning Based Anomaly Detection Approach. IJCNN (2023)
Sadhana Tiwari, Sonali Agarwal
Empirical analysis of chronic disease dataset for multiclass classification using optimal feature selection based hybrid model with spark streaming. Future Gener. Comput. Syst. 139 (2023)
Shashi Shekhar Kumar, Ritesh Chandra, Sonali Agarwal
A Real-Time Approach for Smart Building Operations Prediction Using Rule-Based Complex Event Processing and SPARQL Query. CoRR (2023)
Sanjay Kumar Sonbhadra, Sonali Agarwal, P. Nagabhushan
Target-class guided sample length reduction and training set selection of univariate time-series. Appl. Intell. 53 (6) (2023)
Ritesh Chandra, Sadhana Tiwari, Satyam Rastogi, Sonali Agarwal
A Decision Support System for Liver Diseases Prediction: Integrating Batch Processing, Rule-Based Event Detection and SPARQL Query. CoRR (2023)
Ritesh Chandra, Sadhana Tiwari, Sonali Agarwal, Navjot Singh
Semantic web-based diagnosis and treatment of vector-borne diseases using SWRL rules. Knowl. Based Syst. 274 (2023)
Ritesh Chandra, Sadhana Tiwari, Sonali Agarwal, Navjot Singh
Semantic rule Web-based Diagnosis and Treatment of Vector-Borne Diseases using SWRL rules. CoRR (2023)
Kapil Deshpande, Narinder Singh Punn, Sanjay Kumar Sonbhadra, Sonali Agarwal
Anomaly Detection in Surveillance Videos Using Transformer Based Attention Model. ICONIP (7) (2022)
Sonali Agarwal, Sanjay Kumar Sonbhadra, Narinder Singh Punn
Software Testing and Quality Assurance for Data Intensive Applications. EASE (2022)
Ritesh Chandra, Sonali Agarwal, Navjot Singh
Semantic sensor network ontology based decision support system for forest fire management. Ecol. Informatics 72 (2022)
Sadhana Tiwari, Ritesh Chandra, Sonali Agarwal
Forecasting COVID- 19 cases using Statistical Models and Ontology-based Semantic Modelling: A real time data analytics approach. CoRR (2022)
Kapil Deshpande, Narinder Singh Punn, Sanjay Kumar Sonbhadra, Sonali Agarwal
Anomaly detection in surveillance videos using transformer based attention model. CoRR (2022)
Narinder Singh Punn, Sonali Agarwal
CHS-Net: A Deep Learning Approach for Hierarchical Segmentation of COVID-19 via CT Images. Neural Process. Lett. 54 (5) (2022)
Narinder Singh Punn, Sonali Agarwal
BT-Unet: A self-supervised learning framework for biomedical image segmentation using barlow twins with U-net models. Mach. Learn. 111 (12) (2022)
Akrity Kumari, Narinder Singh Punn, Sanjay Kumar Sonbhadra, Sonali Agarwal
Impact of the composition of feature extraction and class sampling in medicare fraud detection. CoRR (2022)
Sadhana Tiwari, Sonali Agarwal
An optimized hybrid solution for IoT based lifestyle disease classification using stress data. CoRR (2022)
Ritesh Chandra, Sonali Agarwal, Navjot Singh
Semantic Sensor Network Ontology based Decision Support System for Forest Fire Management. CoRR (2022)
Sadhana Tiwari, Sonali Agarwal
Empirical Analysis of Lifelog Data using Optimal Feature Selection based Unsupervised Logistic Regression (OFS-ULR) Model with Spark Streaming. CoRR (2022)
Narinder Singh Punn, Sonali Agarwal
RCA-IUnet: a residual cross-spatial attention-guided inception U-Net model for tumor segmentation in breast ultrasound imaging. Mach. Vis. Appl. 33 (2) (2022)
Akrity Kumari, Narinder Singh Punn, Sanjay Kumar Sonbhadra, Sonali Agarwal
Impact of the Composition of Feature Extraction and Class Sampling in Medicare Fraud Detection. ICONIP (3) (2022)
Narinder Singh Punn, Sonali Agarwal
Modality specific U-Net variants for biomedical image segmentation: a survey. Artif. Intell. Rev. 55 (7) (2022)
Sanjay Kumar Sonbhadra, Sonali Agarwal, P. Nagabhushan
Learning target class eigen subspace (LTC-ES) via eigen knowledge grid. Turkish J. Electr. Eng. Comput. Sci. 30 (4) (2022)
Sadhana Tiwari, Ritesh Chandra, Sonali Agarwal
An Optimized Hybrid Solution for IoT Based Lifestyle Disease Classification Using Stress Data. ICONIP (7) (2022)
Amit Kumar, Sonali Agarwal
Leveraging multifaceted proximity measures among developers in predicting future collaborations to improve the social capital of software projects. J. Univers. Comput. Sci. 27 (11) (2021)
Sachin Gupta, Narinder Singh Punn, Sanjay Kumar Sonbhadra, Sonali Agarwal
MAG-Net: Mutli-task attention guided network for brain tumor segmentation and classification. CoRR (2021)
Sadhana Tiwari, Sonali Agarwal
A Shrewd Artificial Neural Network-Based Hybrid Model for Pervasive Stress Detection of Students Using Galvanic Skin Response and Electrocardiogram Signals. Big Data 9 (6) (2021)
Narinder Singh Punn, Sonali Agarwal
RCA-IUnet: A residual cross-spatial attention guided inception U-Net model for tumor segmentation in breast ultrasound imaging. CoRR (2021)
Sudhanshu, Narinder Singh Punn, Sanjay Kumar Sonbhadra, Sonali Agarwal
Recommending Best Course of Treatment Based on Similarities of Prognostic Markers. ICONIP (2) (2021)
Sudhanshu, Narinder Singh Punn, Sanjay Kumar Sonbhadra, Sonali Agarwal
Recommending best course of treatment based on similarities of prognostic markers. CoRR (2021)
Narinder Singh Punn, Sonali Agarwal
Automated diagnosis of COVID-19 with limited posteroanterior chest X-ray images using fine-tuned deep neural networks. Appl. Intell. 51 (5) (2021)
Sanjay Kumar Sonbhadra, Sonali Agarwal, P. Nagabhushan
Learning Target Class Feature Subspace (LTC-FS) Using Eigenspace Analysis and N-ary Search-Based Autonomous Hyperparameter Tuning for OCSVM. Int. J. Pattern Recognit. Artif. Intell. 35 (13) (2021)
Mohit Dandekar, Narinder Singh Punn, Sanjay Kumar Sonbhadra, Sonali Agarwal, Rage Uday Kiran
Fruit classification using deep feature maps in the presence of deceptive similar classes. IJCNN (2021)
Gaurav Rajput, Narinder Singh Punn, Sanjay Kumar Sonbhadra, Sonali Agarwal
Hate Speech Detection Using Static BERT Embeddings. BDA (2021)
Pamalla Veena, Sai Chithra Bommisetty, R. Uday Kiran, Sonali Agarwal, Koji Zettsu
Discovering Fuzzy Frequent Spatial Patterns in Large Quantitative Spatiotemporal databases. FUZZ-IEEE (2021)
Gaurav Rajput, Narinder Singh Punn, Sanjay Kumar Sonbhadra, Sonali Agarwal
Hate speech detection using static BERT embeddings. CoRR (2021)
Sachin Gupta, Narinder Singh Punn, Sanjay Kumar Sonbhadra, Sonali Agarwal
MAG-Net: Multi-task Attention Guided Network for Brain Tumor Segmentation and Classification. BDA (2021)
Prachi Agrawal, Narinder Singh Punn, Sanjay Kumar Sonbhadra, Sonali Agarwal
Impact of Attention on Adversarial Robustness of Image Classification Models. IEEE BigData (2021)
Narinder Singh Punn, Sonali Agarwal
Multi-modality encoded fusion with 3D inception U-net and decoder model for brain tumor segmentation. Multim. Tools Appl. 80 (20) (2021)
Narinder Singh Punn, Sonali Agarwal
Modality specific U-Net variants for biomedical image segmentation: A survey. CoRR (2021)
P. Nagabhushan, Sanjay Kumar Sonbhadra, Narinder Singh Punn, Sonali Agarwal
Towards Machine Learning to Machine Wisdom: A Potential Quest. BDA (2021)
Prachi Agrawal, Narinder Singh Punn, Sanjay Kumar Sonbhadra, Sonali Agarwal
Impact of Attention on Adversarial Robustness of Image Classification Models. CoRR (2021)
Bakshi Rohit Prasad, Sonali Agarwal
Design development and performance analysis of distributed least square twin support vector machine for binary classification. Turkish J. Electr. Eng. Comput. Sci. 29 (7) (2021)
Harish Rajora, Narinder Singh Punn, Sanjay Kumar Sonbhadra, Sonali Agarwal
Web based disease prediction and recommender system. CoRR (2021)
Narinder Singh Punn, Sonali Agarwal
BT-Unet: A self-supervised learning framework for biomedical image segmentation using Barlow Twins with U-Net models. CoRR (2021)
Himanshu Batra, Narinder Singh Punn, Sanjay Kumar Sonbhadra, Sonali Agarwal
BERT-Based Sentiment Analysis: A Software Engineering Perspective. CoRR (2021)
Nalla Praveen, Narinder Singh Punn, Sanjay Kumar Sonbhadra, Sonali Agarwal
White blood cell subtype detection and classification. CoRR (2021)
Sanjay Kumar Sonbhadra, Sonali Agarwal, P. Nagabhushan
Target Class Supervised Sample Length and Training Sample Reduction of Univariate Time Series. IEA/AIE (2) (2021)
Himanshu Batra, Narinder Singh Punn, Sanjay Kumar Sonbhadra, Sonali Agarwal
BERT-Based Sentiment Analysis: A Software Engineering Perspective. DEXA (1) (2021)
Nikhil Nasalwai, Narinder Singh Punn, Sanjay Kumar Sonbhadra, Sonali Agarwal
Addressing the Class Imbalance Problem in Medical Image Segmentation via Accelerated Tversky Loss Function. PAKDD (3) (2021)
Narinder Singh Punn, Sonali Agarwal
Automated diagnosis of COVID-19 with limited posteroanterior chest X-ray images using fine-tuned deep neural networks. CoRR (2020)
Sanjay Kumar Sonbhadra, Sonali Agarwal, P. Nagabhushan
Target specific mining of COVID-19 scholarly articles using one-class approach. CoRR (2020)
Uppala Sumanth, Narinder Singh Punn, Sanjay Kumar Sonbhadra, Sonali Agarwal
Enhanced Behavioral Cloning Based self-driving Car Using Transfer Learning. CoRR (2020)
Shwet Ketu, Pramod Kumar Mishra, Sonali Agarwal
Performance Analysis of Distributed Computing Frameworks for Big Data Analytics: Hadoop Vs Spark. Computación y Sistemas 24 (2) (2020)
Shamshe Alam, Sanjay Kumar Sonbhadra, Sonali Agarwal, P. Nagabhushan, Muhammad Tanveer
Sample reduction using farthest boundary point estimation (FBPE) for support vector data description (SVDD). Pattern Recognit. Lett. 131 (2020)
G. Jignesh Chowdary, Narinder Singh Punn, Sanjay Kumar Sonbhadra, Sonali Agarwal
Face Mask Detection Using Transfer Learning of InceptionV3. BDA (2020)
Sanjay Kumar Sonbhadra, Sonali Agarwal, P. Nagabhushan
Early-stage COVID-19 diagnosis in presence of limited posteroanterior chest X-ray images via novel Pinball-OCSVM. CoRR (2020)
G. Jignesh Chowdary, Narinder Singh Punn, Sanjay Kumar Sonbhadra, Sonali Agarwal
Face Mask Detection using Transfer Learning of InceptionV3. CoRR (2020)
Narinder Singh Punn, Sonali Agarwal
CHS-Net: A Deep learning approach for hierarchical segmentation of COVID-19 infected CT images. CoRR (2020)
Narinder Singh Punn, Sanjay Kumar Sonbhadra, Sonali Agarwal
Monitoring COVID-19 social distancing with person detection and tracking via fine-tuned YOLO v3 and Deepsort techniques. CoRR (2020)
Mohit Dandekar, Narinder Singh Punn, Sanjay Kumar Sonbhadra, Sonali Agarwal
Fruit classification using deep feature maps in the presence of deceptive similar classes. CoRR (2020)
Narinder Singh Punn, Sonali Agarwal
Inception U-Net Architecture for Semantic Segmentation to Identify Nuclei in Microscopy Cell Images. ACM Trans. Multim. Comput. Commun. Appl. 16 (1) (2020)
Sonali Agarwal, Narinder Singh Punn, Sanjay Kumar Sonbhadra, P. Nagabhushan, K. K. Soundra Pandian, Praveer Saxena
Unleashing the power of disruptive and emerging technologies amid COVID-19: A detailed review. CoRR (2020)
Shamshe Alam, Sanjay Kumar Sonbhadra, Sonali Agarwal, P. Nagabhushan
One-class support vector classifiers: A survey. Knowl. Based Syst. 196 (2020)
Mahen Gandhi, Amit Kumar, Yugandhar Desai, Sonali Agarwal
Studying Multifaceted Collaboration of OSS Developers and its Impact on their Bug Fixing Performance. QuASoQ@APSEC (2019)
Rohit Raj, Nandini Rai, Sonali Agarwal
Anticounterfeiting in Pharmaceutical Supply Chain by establishing Proof of Ownership. TENCON (2019)
Narinder Singh Punn, Sonali Agarwal
Crowd Analysis for Congestion Control Early Warning System on Foot Over Bridge. IC3 (2019)
Bakshi Rohit Prasad, Sonali Agarwal
Scalable Least Square Twin Support Vector Machine Learning. DaWaK (2019)
Narinder Singh Punn, Sonali Agarwal
Testing Concept Drift Detection Technique on Data Stream. BDA (2018)
Sonali Agrawal, Sanjay Kumar Sonbhadra, Sonali Agarwal
Favour prediction of Taxi services using real-time visualization. ICACCI (2018)
Dhwaj Verma, Sonali Agarwal
Cardiac Arrhythmia Detection from Single-lead ECG using CNN and LSTM assisted by Oversampling. ICACCI (2018)
Sagar Eetha, Sonali Agarwal, Srikanth Neelam
Zynq FPGA Based System Design for Video Surveillance with Sobel Edge Detection. iSES (2018)
Devender Kaushik, Bakshi Rohit Prasad, Sanjay Kumar Sonbhadra, Sonali Agarwal
Post-Surgical Survival Forecasting of Breast Cancer Patient: A Novel Approach. ICACCI (2018)
Sayantan Nath, Sonali Agarwal, G. N. Pandey
Evaluation of Knowledge Gaps in Mathematical Applications of Thermal Image Processing Techniques for Fire Prevention. ACM Comput. Surv. 50 (1) (2017)
Bakshi Rohit Prasad, Sonali Agarwal
Critical parameter analysis of Vertical Hoeffding Tree for optimized performance using SAMOA. Int. J. Mach. Learn. Cybern. 8 (4) (2017)
Bharat Gupta, Shivam Awasthi, Parshant Singh, Likhama Ram, Pramod Kumar, Bakshi Rohit Prasad, Sonali Agarwal
Cross domain sentiment analysis using transfer learning. ICIIS (2017)
Bakshi Rohit Prasad, Unmesh Kishor Bendale, Sonali Agarwal
Distributed information gain theoretic feature selector using spark. ICIIS (2016)
Bakshi Rohit Prasad, Unmesh Kishor Bendale, Sonali Agarwal
Distributed feature selection using vertical partitioning for high dimensional data. ICACCI (2016)
Divya Tomar, Sonali Agarwal
Leaf Recognition for Plant Classification Using Direct Acyclic Graph Based Multi-Class Least Squares Twin Support Vector Machine. Int. J. Image Graph. 16 (3) (2016)
Divya Tomar, Sonali Agarwal
Prediction of Defective Software Modules Using Class Imbalance Learning. Appl. Comput. Intell. Soft Comput. 2016 (2016)
Divya Tomar, Sonali Agarwal
Twin Support Vector Machine for Multiple Instance Learning Based on Bag Dissimilarities. Adv. Artif. Intell. 2016 (2016)
Divya Tomar, Sonali Agarwal
MIMLTWSVM: Twin support vector machine for multi-instance multi-label learning. ICIIS (2016)
Divya Tomar, Sonali Agarwal
An effective Weighted Multi-class Least Squares Twin Support Vector Machine for Imbalanced data classification. Int. J. Comput. Intell. Syst. 8 (4) (2015)
Divya Tomar, Sonali Agarwal
A comparison on multi-class classification methods based on least squares twin support vector machine. Knowl. Based Syst. 81 (2015)
Divya Tomar, Sonali Agarwal
Hybrid Feature Selection Based Weighted Least Squares Twin Support Vector Machine Approach for Diagnosing Breast Cancer, Hepatitis, and Diabetes. Adv. Artif. Neural Syst. 2015 (2015)
Shwet Ketu, Sonali Agarwal
Performance enhancement of distributed K-Means clustering for big Data analytics through in-memory computation. IC3 (2015)
Shwet Ketu, Bakshi Rohit Prasad, Sonali Agarwal
Effect of Corpus Size Selection on Performance of Map-Reduce Based Distributed K-Means for Big Textual Data Clustering. ICCCT (2015)
Sonali Agarwal, Bakshi Rohit Prasad
High speed streaming data analysis of web generated log streams. ICIIS (2015)
Sayantan Nath, Sonali Agarwal, G. N. Pandey
Mathematical Foundation Based Inter-Connectivity modelling of Thermal Image processing technique for Fire Protection. EAI Endorsed Trans. Creative Technol. 2 (5) (2015)
Divya Tomar, Sonali Agarwal
Direct acyclic graph based multi-class twin support vector machine for pattern classification. CODS (2015)
Divya Tomar, Divya Ojha, Sonali Agarwal
An Emotion Detection System Based on Multi Least Squares Twin Support Vector Machine. Adv. Artif. Intell. 2014 (2014)
Sonali Agarwal, G. N. Pandey
Human computer interface design for neonatal intensive care with data mining. IHCI (2012)
Sonali Agarwal, Divya, G. N. Pandey
SVM based context awareness using body area sensor network for pervasive healthcare monitoring. IITM (2010)