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2020 – today
- 2024
[j33]Shashi Shekhar Kumar
, Sonali Agarwal:
Rule based complex event processing for IoT applications: Review, classification and challenges. Expert Syst. J. Knowl. Eng. 41(9) (2024)- [j32]Sanjay Kumar Sonbhadra, Sonali Agarwal, P. Nagabhushan:
Pinball-OCSVM for Early-Stage COVID-19 Diagnosis with Limited Posteroanterior Chest X-Ray Images. Int. J. Pattern Recognit. Artif. Intell. 38(3): 2457002:1-2457002:29 (2024) - [j31]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. J. Supercomput. 80(15): 21569-21591 (2024) - [c38]Amit Kumar, Ethari Hrishikesh, Yugandhar Deasi, Sonali Agarwal:
Prevalence and Prediction of Unseen Co-Changes: A Graph-Based Approach. COMPSAC 2024: 1157-1167 - [i34]Shashi Shekhar Kumar, Ritesh Chandra, Sonali Agarwal:
Rule based Complex Event Processing for an Air Quality Monitoring System in Smart City. CoRR abs/2403.14701 (2024) - [i33]Ashutosh Kumar, Sonali Agarwal, D. Jude Hemanth:
A Methodology-Oriented Study of Catastrophic Forgetting in Incremental Deep Neural Networks. CoRR abs/2405.08015 (2024) - [i32]Ritesh Chandra, Shashi Shekhar Kumar, Rushil Patra, Sonali Agarwal:
Decision support system for Forest fire management using Ontology with Big Data and LLMs. CoRR abs/2405.11346 (2024) - [i31]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, Helen Parkinson, Martin Romacker, Rolf Russell, Valérien Ségard, Shawn Zheng Kai Tan, Wei Kheng Teh, F. P. Winstanley, Benedict Wong, Adrian M. Smith:
A framework for developing a knowledge management platform. CoRR abs/2406.12313 (2024) - [i30]Shyam Dongre, Ritesh Chandra, Sonali Agarwal:
MLtoGAI: Semantic Web based with Machine Learning for Enhanced Disease Prediction and Personalized Recommendations using Generative AI. CoRR abs/2407.20284 (2024) - [i29]Shashi Shekhar Kumar, Anurag Harsh, Ritesh Chandra, Sonali Agarwal:
Fuzzy Rule based Intelligent Cardiovascular Disease Prediction using Complex Event Processing. CoRR abs/2409.15372 (2024) - 2023
- [j30]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): 7056-7073 (2023) - [j29]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: 87-99 (2023) - [j28]Ashutosh Kumar, Sonali Agarwal:
Handling catastrophic forgetting using cross-domain order in incremental deep learning. J. Electronic Imaging 32(2) (2023) - [j27]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: 110645 (2023) - [c37]Sadhana Tiwari, Mohammad Zohair, Ritesh Chandra, Sonali Agarwal, Parikshit Agarwal:
AI-Enabled Learning for Imbalanced Class Data using Spark Streaming Concepts. OCIT 2023: 982-987 - [c36]Anand Geed, Ritesh Chandra, Sadhana Tiwari, Sonali Agarwal, Krishna Pratap Singh:
A Personalized Cancer Diagnosis using Text based Clinical Data with Machine Learning Models. OCIT 2023: 988-993 - [c35]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: 1-7 - [e9]Mohammad Tanveer, Sonali Agarwal, Seiichi Ozawa, Asif Ekbal, Adam Jatowt:
Neural Information Processing - 29th International Conference, ICONIP 2022, Virtual Event, November 22-26, 2022, Proceedings, Part IV. Communications in Computer and Information Science 1791, Springer 2023, ISBN 978-981-99-1638-2 [contents] - [e8]Mohammad Tanveer, Sonali Agarwal, Seiichi Ozawa, Asif Ekbal, Adam Jatowt:
Neural Information Processing - 29th International Conference, ICONIP 2022, Virtual Event, November 22-26, 2022, Proceedings, Part V. Communications in Computer and Information Science 1792, Springer 2023, ISBN 978-981-99-1641-2 [contents] - [e7]Mohammad Tanveer, Sonali Agarwal, Seiichi Ozawa, Asif Ekbal, Adam Jatowt:
Neural Information Processing - 29th International Conference, ICONIP 2022, Virtual Event, November 22-26, 2022, Proceedings, Part VI. Communications in Computer and Information Science 1793, Springer 2023, ISBN 978-981-99-1644-3 [contents] - [e6]Mohammad Tanveer, Sonali Agarwal, Seiichi Ozawa, Asif Ekbal, Adam Jatowt:
Neural Information Processing - 29th International Conference, ICONIP 2022, Virtual Event, November 22-26, 2022, Proceedings, Part VII. Communications in Computer and Information Science 1794, Springer 2023, ISBN 978-981-99-1647-4 [contents] - [e5]Mohammad Tanveer, Sonali Agarwal, Seiichi Ozawa, Asif Ekbal, Adam Jatowt:
Neural Information Processing - 29th International Conference, ICONIP 2022, Virtual Event, November 22-26, 2022, Proceedings, Part I. Lecture Notes in Computer Science 13623, Springer 2023, ISBN 978-3-031-30104-9 [contents] - [e4]Mohammad Tanveer, Sonali Agarwal, Seiichi Ozawa, Asif Ekbal, Adam Jatowt:
Neural Information Processing - 29th International Conference, ICONIP 2022, Virtual Event, November 22-26, 2022, Proceedings, Part II. Lecture Notes in Computer Science 13624, Springer 2023, ISBN 978-3-031-30107-0 [contents] - [e3]Mohammad Tanveer, Sonali Agarwal, Seiichi Ozawa, Asif Ekbal, Adam Jatowt:
Neural Information Processing - 29th International Conference, ICONIP 2022, Virtual Event, November 22-26, 2022, Proceedings, Part III. Lecture Notes in Computer Science 13625, Springer 2023, ISBN 978-3-031-30110-0 [contents] - [e2]Sonali Agarwal, Abhik Roychoudhury, Rahul Purandare, Saurabh Tiwari, Lov Kumar:
16th Innovations in Software Engineering Conference, ISEC2023, Allahabad, India, February 23-25, 2023. ACM 2023, ISBN 979-8-4007-0064-4 [contents] - [i28]Ritesh Chandra, Sadhana Tiwari, Sonali Agarwal, Navjot Singh:
Semantic rule Web-based Diagnosis and Treatment of Vector-Borne Diseases using SWRL rules. CoRR abs/2301.03013 (2023) - [i27]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 abs/2309.10822 (2023) - [i26]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 abs/2311.07595 (2023) - 2022
- [j26]Narinder Singh Punn, Sonali Agarwal:
Modality specific U-Net variants for biomedical image segmentation: a survey. Artif. Intell. Rev. 55(7): 5845-5889 (2022) - [j25]Ritesh Chandra, Sonali Agarwal, Navjot Singh:
Semantic sensor network ontology based decision support system for forest fire management. Ecol. Informatics 72: 101821 (2022) - [j24]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): 1337-1353 (2022) - [j23]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): 4585-4600 (2022) - [j22]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): 27 (2022) - [j21]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): 3771-3792 (2022) - [c34]Sonali Agarwal, Sanjay Kumar Sonbhadra, Narinder Singh Punn:
Software Testing and Quality Assurance for Data Intensive Applications. EASE 2022: 461-462 - [c33]Kapil Deshpande, Narinder Singh Punn, Sanjay Kumar Sonbhadra, Sonali Agarwal:
Anomaly Detection in Surveillance Videos Using Transformer Based Attention Model. ICONIP (7) 2022: 199-211 - [c32]Sadhana Tiwari, Ritesh Chandra, Sonali Agarwal:
An Optimized Hybrid Solution for IoT Based Lifestyle Disease Classification Using Stress Data. ICONIP (7) 2022: 433-445 - [c31]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: 639-658 - [i25]Sadhana Tiwari, Sonali Agarwal:
Empirical Analysis of Lifelog Data using Optimal Feature Selection based Unsupervised Logistic Regression (OFS-ULR) Model with Spark Streaming. CoRR abs/2204.01281 (2022) - [i24]Ritesh Chandra, Sonali Agarwal, Navjot Singh:
Semantic Sensor Network Ontology based Decision Support System for Forest Fire Management. CoRR abs/2204.03059 (2022) - [i23]Sadhana Tiwari, Sonali Agarwal:
An optimized hybrid solution for IoT based lifestyle disease classification using stress data. CoRR abs/2204.03573 (2022) - [i22]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 abs/2206.01413 (2022) - [i21]Kapil Deshpande, Narinder Singh Punn, Sanjay Kumar Sonbhadra, Sonali Agarwal:
Anomaly detection in surveillance videos using transformer based attention model. CoRR abs/2206.01524 (2022) - [i20]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 abs/2206.02795 (2022) - 2021
- [j20]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): 2689-2702 (2021) - [j19]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): 427-442 (2021) - [j18]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): 2934-2949 (2021) - [j17]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): 2151015:1-2151015:29 (2021) - [j16]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): 1240-1271 (2021) - [j15]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): 30305-30320 (2021) - [c30]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: 3-15 - [c29]Gaurav Rajput, Narinder Singh Punn, Sanjay Kumar Sonbhadra, Sonali Agarwal:
Hate Speech Detection Using Static BERT Embeddings. BDA 2021: 67-77 - [c28]P. Nagabhushan, Sanjay Kumar Sonbhadra, Narinder Singh Punn, Sonali Agarwal:
Towards Machine Learning to Machine Wisdom: A Potential Quest. BDA 2021: 261-275 - [c27]Prachi Agrawal, Narinder Singh Punn, Sanjay Kumar Sonbhadra, Sonali Agarwal:
Impact of Attention on Adversarial Robustness of Image Classification Models. IEEE BigData 2021: 3013-3019 - [c26]Himanshu Batra, Narinder Singh Punn, Sanjay Kumar Sonbhadra, Sonali Agarwal:
BERT-Based Sentiment Analysis: A Software Engineering Perspective. DEXA (1) 2021: 138-148 - [c25]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: 1-8 - [c24]Sudhanshu, Narinder Singh Punn, Sanjay Kumar Sonbhadra, Sonali Agarwal:
Recommending Best Course of Treatment Based on Similarities of Prognostic Markers. ICONIP (2) 2021: 393-404 - [c23]Sanjay Kumar Sonbhadra, Sonali Agarwal, P. Nagabhushan:
Target Class Supervised Sample Length and Training Sample Reduction of Univariate Time Series. IEA/AIE (2) 2021: 603-614 - [c22]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: 1-6 - [c21]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: 390-402 - [e1]Satish Narayana Srirama, Jerry Chun-Wei Lin, Raj Bhatnagar, Sonali Agarwal, P. Krishna Reddy:
Big Data Analytics - 9th International Conference, BDA 2021, Virtual Event, December 15-18, 2021, Proceedings. Lecture Notes in Computer Science 13147, Springer 2021, ISBN 978-3-030-93619-8 [contents] - [d3]Sudhanshu, Narinder Singh Punn, Sanjay Kumar Sonbhadra, Sonali Agarwal:
Disease diagnosis and recommended remedy. IEEE DataPort, 2021
- [d2]Sadhana Tiwari, Sonali Agarwal:
Emotional Status Determination using Physiological Parameters Data Set. IEEE DataPort, 2021 - [i19]Himanshu Batra, Narinder Singh Punn, Sanjay Kumar Sonbhadra, Sonali Agarwal:
BERT-Based Sentiment Analysis: A Software Engineering Perspective. CoRR abs/2106.02581 (2021) - [i18]Harish Rajora, Narinder Singh Punn, Sanjay Kumar Sonbhadra, Sonali Agarwal:
Web based disease prediction and recommender system. CoRR abs/2106.02813 (2021) - [i17]Gaurav Rajput, Narinder Singh Punn, Sanjay Kumar Sonbhadra, Sonali Agarwal:
Hate speech detection using static BERT embeddings. CoRR abs/2106.15537 (2021) - [i16]Narinder Singh Punn, Sonali Agarwal:
Modality specific U-Net variants for biomedical image segmentation: A survey. CoRR abs/2107.04537 (2021) - [i15]Sudhanshu, Narinder Singh Punn, Sanjay Kumar Sonbhadra, Sonali Agarwal:
Recommending best course of treatment based on similarities of prognostic markers. CoRR abs/2107.07500 (2021) - [i14]Sachin Gupta, Narinder Singh Punn, Sanjay Kumar Sonbhadra, Sonali Agarwal:
MAG-Net: Mutli-task attention guided network for brain tumor segmentation and classification. CoRR abs/2107.12321 (2021) - [i13]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 abs/2108.02508 (2021) - [i12]Nalla Praveen, Narinder Singh Punn, Sanjay Kumar Sonbhadra, Sonali Agarwal:
White blood cell subtype detection and classification. CoRR abs/2108.04614 (2021) - [i11]Prachi Agrawal, Narinder Singh Punn, Sanjay Kumar Sonbhadra, Sonali Agarwal:
Impact of Attention on Adversarial Robustness of Image Classification Models. CoRR abs/2109.00936 (2021) - [i10]Narinder Singh Punn, Sonali Agarwal:
BT-Unet: A self-supervised learning framework for biomedical image segmentation using Barlow Twins with U-Net models. CoRR abs/2112.03916 (2021) - 2020
- [j14]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) - [j13]Shamshe Alam, Sanjay Kumar Sonbhadra, Sonali Agarwal, P. Nagabhushan:
One-class support vector classifiers: A survey. Knowl. Based Syst. 196: 105754 (2020) - [j12]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: 268-276 (2020) - [j11]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): 12:1-12:15 (2020) - [c20]G. Jignesh Chowdary, Narinder Singh Punn, Sanjay Kumar Sonbhadra, Sonali Agarwal:
Face Mask Detection Using Transfer Learning of InceptionV3. BDA 2020: 81-90 - [d1]Narinder Singh Punn, Sonali Agarwal:
COVID-19 Posteroanterior Chest X-Ray fused (CPCXR) dataset. IEEE DataPort, 2020 - [i9]Narinder Singh Punn, Sonali Agarwal:
Automated diagnosis of COVID-19 with limited posteroanterior chest X-ray images using fine-tuned deep neural networks. CoRR abs/2004.11676 (2020) - [i8]Sanjay Kumar Sonbhadra, Sonali Agarwal, P. Nagabhushan:
Target specific mining of COVID-19 scholarly articles using one-class approach. CoRR abs/2004.11706 (2020) - [i7]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 abs/2005.01385 (2020) - [i6]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 abs/2005.11507 (2020) - [i5]Uppala Sumanth, Narinder Singh Punn, Sanjay Kumar Sonbhadra, Sonali Agarwal:
Enhanced Behavioral Cloning Based self-driving Car Using Transfer Learning. CoRR abs/2007.05740 (2020) - [i4]Mohit Dandekar, Narinder Singh Punn, Sanjay Kumar Sonbhadra, Sonali Agarwal:
Fruit classification using deep feature maps in the presence of deceptive similar classes. CoRR abs/2007.05942 (2020) - [i3]G. Jignesh Chowdary, Narinder Singh Punn, Sanjay Kumar Sonbhadra, Sonali Agarwal:
Face Mask Detection using Transfer Learning of InceptionV3. CoRR abs/2009.08369 (2020) - [i2]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 abs/2010.08115 (2020) - [i1]Narinder Singh Punn, Sonali Agarwal:
CHS-Net: A Deep learning approach for hierarchical segmentation of COVID-19 infected CT images. CoRR abs/2012.07079 (2020)
2010 – 2019
- 2019
- [c19]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: 37-44 - [c18]Bakshi Rohit Prasad, Sonali Agarwal:
Scalable Least Square Twin Support Vector Machine Learning. DaWaK 2019: 239-249 - [c17]Narinder Singh Punn, Sonali Agarwal:
Crowd Analysis for Congestion Control Early Warning System on Foot Over Bridge. IC3 2019: 1-6 - [c16]Rohit Raj, Nandini Rai, Sonali Agarwal:
Anticounterfeiting in Pharmaceutical Supply Chain by establishing Proof of Ownership. TENCON 2019: 1572-1577 - 2018
- [c15]Narinder Singh Punn, Sonali Agarwal:
Testing Concept Drift Detection Technique on Data Stream. BDA 2018: 89-99 - [c14]Dhwaj Verma, Sonali Agarwal:
Cardiac Arrhythmia Detection from Single-lead ECG using CNN and LSTM assisted by Oversampling. ICACCI 2018: 14-17 - [c13]Devender Kaushik, Bakshi Rohit Prasad, Sanjay Kumar Sonbhadra, Sonali Agarwal:
Post-Surgical Survival Forecasting of Breast Cancer Patient: A Novel Approach. ICACCI 2018: 37-41 - [c12]Sonali Agrawal, Sanjay Kumar Sonbhadra, Sonali Agarwal:
Favour prediction of Taxi services using real-time visualization. ICACCI 2018: 2276-2282 - [c11]Sagar Eetha, Sonali Agarwal, Srikanth Neelam:
Zynq FPGA Based System Design for Video Surveillance with Sobel Edge Detection. iSES 2018: 76-79 - 2017
- [j10]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): 4:1-4:43 (2017) - [j9]Bakshi Rohit Prasad, Sonali Agarwal:
Critical parameter analysis of Vertical Hoeffding Tree for optimized performance using SAMOA. Int. J. Mach. Learn. Cybern. 8(4): 1389-1402 (2017) - [c10]Bharat Gupta, Shivam Awasthi, Parshant Singh, Likhama Ram, Pramod Kumar, Bakshi Rohit Prasad, Sonali Agarwal:
Cross domain sentiment analysis using transfer learning. ICIIS 2017: 1-5 - 2016
- [j8]Divya Tomar, Sonali Agarwal:
Prediction of Defective Software Modules Using Class Imbalance Learning. Appl. Comput. Intell. Soft Comput. 2016: 7658207:1-7658207:12 (2016) - [j7]Divya Tomar, Sonali Agarwal:
Twin Support Vector Machine for Multiple Instance Learning Based on Bag Dissimilarities. Adv. Artif. Intell. 2016: 1269708:1-1269708:18 (2016) - [j6]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): 1650012:1-1650012:17 (2016) - [c9]Bakshi Rohit Prasad, Unmesh Kishor Bendale, Sonali Agarwal:
Distributed feature selection using vertical partitioning for high dimensional data. ICACCI 2016: 807-813 - [c8]Divya Tomar, Sonali Agarwal:
MIMLTWSVM: Twin support vector machine for multi-instance multi-label learning. ICIIS 2016: 492-497 - [c7]Bakshi Rohit Prasad, Unmesh Kishor Bendale, Sonali Agarwal:
Distributed information gain theoretic feature selector using spark. ICIIS 2016: 804-809 - 2015
- [j5]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: 265637:1-265637:10 (2015) - [j4]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): e3 (2015) - [j3]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): 761-778 (2015) - [j2]Divya Tomar, Sonali Agarwal:
A comparison on multi-class classification methods based on least squares twin support vector machine. Knowl. Based Syst. 81: 131-147 (2015) - [c6]Divya Tomar, Sonali Agarwal:
Direct acyclic graph based multi-class twin support vector machine for pattern classification. CODS 2015: 80-85 - [c5]Shwet Ketu, Sonali Agarwal:
Performance enhancement of distributed K-Means clustering for big Data analytics through in-memory computation. IC3 2015: 318-324 - [c4]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: 256-260 - [c3]Sonali Agarwal, Bakshi Rohit Prasad:
High speed streaming data analysis of web generated log streams. ICIIS 2015: 413-418 - 2014
- [j1]Divya Tomar, Divya Ojha, Sonali Agarwal:
An Emotion Detection System Based on Multi Least Squares Twin Support Vector Machine. Adv. Artif. Intell. 2014: 282659:1-282659:11 (2014) - 2012
- [c2]Sonali Agarwal, G. N. Pandey:
Human computer interface design for neonatal intensive care with data mining. IHCI 2012: 1-6 - 2010
- [c1]Sonali Agarwal, Divya, G. N. Pandey:
SVM based context awareness using body area sensor network for pervasive healthcare monitoring. IITM 2010: 271-278
Coauthor Index
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last updated on 2025-01-21 00:07 CET by the dblp team
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