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ORCIDSanjeev S. Sannakki
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2020 – today
- 2021
[j9]Veeresh Ashok Mulimani
, Sanjeev S. Sannakki, Vijay S. Rajpurohit:
A Systematic Review of Clustering and Classifier Techniques for Brain Tumor Segmentation in MRI Images. Int. J. Comput. Vis. Image Process. 11(2): 46-57 (2021)- [j8]Mahesh G. Huddar, Sanjeev S. Sannakki, Vijay S. Rajpurohit:
Attention-based Multi-modal Sentiment Analysis and Emotion Detection in Conversation using RNN. Int. J. Interact. Multim. Artif. Intell. 6(6): 112-121 (2021) - [j7]Mahesh G. Huddar, Sanjeev S. Sannakki, Vijay S. Rajpurohit:
Attention-based multimodal contextual fusion for sentiment and emotion classification using bidirectional LSTM. Multim. Tools Appl. 80(9): 13059-13076 (2021) - [j6]Mahesh G. Huddar, Sanjeev S. Sannakki, Vijay S. Rajpurohit:
Correction to: Attention-based multimodal contextual fusion for sentiment and emotion classification using bidirectional LSTM. Multim. Tools Appl. 80(9): 13077 (2021) - [j5]Sankirti Sandeep Shiravale, Sanjeev S. Sannakki, R. Jayadevan:
Text Region Identification in Indian Street Scene Images Using Stroke Width Transform and Support Vector Machine. SN Comput. Sci. 2(5): 357 (2021) - 2020
- [j4]Mahesh G. Huddar, Sanjeev S. Sannakki, Vijay S. Rajpurohit:
Multi-level feature optimization and multimodal contextual fusion for sentiment analysis and emotion classification. Comput. Intell. 36(2): 861-881 (2020) - [j3]Sankirti Sandeep Shiravale, R. Jayadevan, Sanjeev S. Sannakki:
Devanagari Text Detection From Natural Scene Images. Int. J. Comput. Vis. Image Process. 10(3): 44-59 (2020) - [j2]Mahesh G. Huddar, Sanjeev S. Sannakki, Vijay S. Rajpurohit:
Attention-based word-level contextual feature extraction and cross-modality fusion for sentiment analysis and emotion classification. Int. J. Intell. Eng. Informatics 8(1): 1-18 (2020) - [j1]Mahesh G. Huddar, Sanjeev S. Sannakki, Vijay S. Rajpurohit:
Multi-level context extraction and attention-based contextual inter-modal fusion for multimodal sentiment analysis and emotion classification. Int. J. Multim. Inf. Retr. 9(2): 103-112 (2020)
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