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2020 – today
- 2024
[j8]Balaji T. K.
, Annushree Bablani, S. R. Sreeja, Hemant Misra:
Sensecor: A framework for COVID-19 variants severity classification and symptoms detection. Evol. Syst. 15(1): 65-82 (2024)- [c9]Balaji T. K., Annushree Bablani, Sreeja SR, Hemant Misra:
SASE: Sentiment Analysis with Aspect Specific Evaluation Using Deep Learning with Hybrid Contextual Embedding. ICDCIT 2024: 237-248 - [c8]Balaji T. K., Annushree Bablani, S. R. Sreeja, Hemant Misra:
SARCOVID: A Framework for Sarcasm Detection in Tweets Using Hybrid Transfer Learning Techniques. ICPR (11) 2024: 1-12 - 2023
- [j7]S. R. Sreeja, Shathanaa Rajmohan, Manjit Singh Sodhi, Debasis Samanta, Pabitra Mitra:
Dictionary Learning and Greedy Algorithms for Removing Eye Blink Artifacts from EEG Signals. Circuits Syst. Signal Process. 42(9): 5663-5683 (2023) - [j6]S. R. Sreeja, Debasis Samanta:
Dictionary reduction in sparse representation-based classification of motor imagery EEG signals. Multim. Tools Appl. 82(20): 31157-31180 (2023) - [j5]Shathanaa Rajmohan, E. Elakkiya, S. R. Sreeja:
Multi-cohort whale optimization with search space tightening for engineering optimization problems. Neural Comput. Appl. 35(12): 8967-8986 (2023) - [c7]Chandra Sekhar Vorugunti, Avinash Gautam, Viswanath Pulabaigari, Sreeja SR, Rama Krishna Sai G:
TSOSVNet: Teacher-student collaborative knowledge distillation for Online Signature Verification. ICCV (Workshops) 2023: 742-751 - 2022
- [c6]Sumanth Sadu, Shiv Ram Dubey, S. R. Sreeja:
Moment Centralization-Based Gradient Descent Optimizers for Convolutional Neural Networks. CVMI 2022: 51-63 - [i2]Sumanth Sadu, Shiv Ram Dubey, S. R. Sreeja:
Moment Centralization based Gradient Descent Optimizers for Convolutional Neural Networks. CoRR abs/2207.09066 (2022) - 2021
- [c5]Puneeth Yashasvi Kashyap Apparasu, S. R. Sreeja:
Emotion Recognition from Brain Signals While Subjected to Music Videos. ICHI 2021: 772-782 - 2020
- [j4]S. R. Sreeja, Himanshu, Debasis Samanta:
Distance-based weighted sparse representation to classify motor imagery EEG signals for BCI applications. Multim. Tools Appl. 79(19-20): 13775-13793 (2020)
2010 – 2019
- 2019
- [j3]S. R. Sreeja, Debasis Samanta:
Classification of multiclass motor imagery EEG signal using sparsity approach. Neurocomputing 368: 133-145 (2019) - [c4]S. R. Sreeja, Himanshu, Debasis Samanta, Monalisa Sarma:
Weighted sparse representation for classification of motor imagery EEG signals. EMBC 2019: 6180-6183 - [i1]Vishal Anand, S. R. Sreeja, Debasis Samanta:
An automated approach for task evaluation using EEG signals. CoRR abs/1911.02966 (2019) - 2018
- [j2]S. R. Sreeja, Rajiv Ranjan Sahay, Debasis Samanta, Pabitra Mitra:
Removal of Eye Blink Artifacts From EEG Signals Using Sparsity. IEEE J. Biomed. Health Informatics 22(5): 1362-1372 (2018) - [c3]Anushri Saha, Vikash Minz, Sanjith Bonela, S. R. Sreeja, Ritwika Chowdhury, Debasis Samanta:
Classification of EEG Signals for Cognitive Load Estimation Using Deep Learning Architectures. IHCI 2018: 59-68 - 2017
- [c2]S. R. Sreeja, Joytirmoy Rabha, Debasis Samanta, Pabitra Mitra, Monalisa Sarma:
Classification of Motor Imagery Based EEG Signals Using Sparsity Approach. IHCI 2017: 47-59 - 2016
- [c1]S. R. Sreeja, Vaidic Joshi, Shabnam Samima, Anushri Saha, Joytirmoy Rabha, Baljeet Singh Cheema, Debasis Samanta, Pabitra Mitra:
BCI Augmented Text Entry Mechanism for People with Special Needs. IHCI 2016: 81-93 - 2014
- [j1]S. R. Sreeja, Sangita Chaudhari:
Review of web crawlers. Int. J. Knowl. Web Intell. 5(1): 49-61 (2014)
Coauthor Index
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