S. R. Sreeja

According to our database, S. R. Sreeja authored at least 17 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Sensecor: A framework for COVID-19 variants severity classification and symptoms detection.

Balaji T. K., Annushree Bablani, S. R. Sreeja, Hemant Misra

Evol. Syst., February, 2024

SASE: Sentiment Analysis with Aspect Specific Evaluation Using Deep Learning with Hybrid Contextual Embedding.

Balaji T. K., Annushree Bablani, Sreeja SR, Hemant Misra

Proceedings of the Distributed Computing and Intelligent Technology, 2024

2023

Multi-cohort whale optimization with search space tightening for engineering optimization problems.

Shathanaa Rajmohan, E. Elakkiya, S. R. Sreeja

Neural Comput. Appl., April, 2023

Dictionary reduction in sparse representation-based classification of motor imagery EEG signals.

S. R. Sreeja, Debasis Samanta

Multim. Tools Appl., 2023

Dictionary Learning and Greedy Algorithms for Removing Eye Blink Artifacts from EEG Signals.

S. R. Sreeja, Shathanaa Rajmohan, Manjit Singh Sodhi, Debasis Samanta, Pabitra Mitra

Circuits Syst. Signal Process., 2023

TSOSVNet: Teacher-student collaborative knowledge distillation for Online Signature Verification.

Chandra Sekhar Vorugunti, Avinash Gautam, Viswanath Pulabaigari, Sreeja SR, Rama Krishna Sai G

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Moment Centralization-Based Gradient Descent Optimizers for Convolutional Neural Networks.

Sumanth Sadu, Shiv Ram Dubey, S. R. Sreeja

Proceedings of the Computer Vision and Machine Intelligence, 2022

2021

Emotion Recognition from Brain Signals While Subjected to Music Videos.

Puneeth Yashasvi Kashyap Apparasu, S. R. Sreeja

Proceedings of the Intelligent Human Computer Interaction, 2021

2020

Distance-based weighted sparse representation to classify motor imagery EEG signals for BCI applications.

S. R. Sreeja, Himanshu, Debasis Samanta

Multim. Tools Appl., 2020

2019

Classification of multiclass motor imagery EEG signal using sparsity approach.

S. R. Sreeja, Debasis Samanta

Neurocomputing, 2019

An automated approach for task evaluation using EEG signals.

Vishal Anand, S. R. Sreeja, Debasis Samanta

CoRR, 2019

Weighted sparse representation for classification of motor imagery EEG signals.

S. R. Sreeja, Himanshu, Debasis Samanta, Monalisa Sarma

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2018

Removal of Eye Blink Artifacts From EEG Signals Using Sparsity.

S. R. Sreeja, Rajiv Ranjan Sahay, Debasis Samanta, Pabitra Mitra

IEEE J. Biomed. Health Informatics, 2018

Classification of EEG Signals for Cognitive Load Estimation Using Deep Learning Architectures.

Anushri Saha, Vikash Minz, Sanjith Bonela, S. R. Sreeja, Ritwika Chowdhury, Debasis Samanta

Proceedings of the Intelligent Human Computer Interaction - 10th International Conference, 2018

2017

Classification of Motor Imagery Based EEG Signals Using Sparsity Approach.

S. R. Sreeja, Joytirmoy Rabha, Debasis Samanta, Pabitra Mitra, Monalisa Sarma

Proceedings of the Intelligent Human Computer Interaction - 9th International Conference, 2017

2016

BCI Augmented Text Entry Mechanism for People with Special Needs.

S. R. Sreeja, Vaidic Joshi, Shabnam Samima, Anushri Saha, Joytirmoy Rabha, Baljeet Singh Cheema, Debasis Samanta, Pabitra Mitra

Proceedings of the Intelligent Human Computer Interaction - 8th International Conference, 2016

2014

Review of web crawlers.

S. R. Sreeja, Sangita Chaudhari

Int. J. Knowl. Web Intell., 2014