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Veena Thenkanidiyoor
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2020 – today
- 2025
- [j8]Manisha Naik Gaonkar, Veena Thenkanidiyoor, Aroor Dinesh Dileep:
A parallel computing approach to CNN-based QbE-STD using kernel-based matching. J. Supercomput. 81(1): 24 (2025) - 2024
- [j7]Diana Miranda
, Veena Thenkanidiyoor, Dileep Aroor Dinesh:
Predicting Semantic Concepts in Heterogeneous Radiographic Images. IEEE Access 12: 56683-56700 (2024) - [j6]Muralikrishna H
Spoken Language Identification in Unseen Target Domain Using Centroid Similarity Loss With Adaptive Gradient Blending. IEEE Access 12: 95959-95971 (2024) - 2023
- [j5]Diana Miranda, Veena Thenkanidiyoor, Dileep Aroor Dinesh:
Detecting the modality of a medical image using visual and textual features. Biomed. Signal Process. Control. 79(Part): 104035 (2023) - [j4]V. S. Samy, Veena Thenkanidiyoor:
Blizzard prediction in antarctic meteorological data using deep learning techniques. J. Intell. Fuzzy Syst. 45(4): 6797-6812 (2023) - [c18]Sean Monteiro, Ananya Angra, Muralikrishna H, Veena Thenkanidiyoor, Aroor Dinesh Dileep:
Exploring the Impact of Different Approaches for Spoken Dialect Identification of Konkani Language. SPECOM (2) 2023: 461-474 - [c17]Urvashi Goswami, H. Muralikrishna, Aroor Dinesh Dileep, Veena Thenkanidiyoor:
Adversarially Trained Hierarchical Attention Network for Domain-Invariant Spoken Language Identification. SPECOM (2) 2023: 475-489 - 2021
- [j3]Shikha Gupta, Aroor Dinesh Dileep, Veena Thenkanidiyoor:
Recognition of varying size scene images using semantic analysis of deep activation maps. Mach. Vis. Appl. 32(2): 52 (2021) - [j2]Shikha Gupta, Krishan Sharma, Dileep Aroor Dinesh, Veena Thenkanidiyoor:
Visual Semantic-Based Representation Learning Using Deep CNNs for Scene Recognition. ACM Trans. Multim. Comput. Commun. Appl. 17(2): 53:1-53:24 (2021) - 2020
- [c16]Prajyot Naik, Manisha Naik Gaonkar, Veena Thenkanidiyoor, Aroor Dinesh Dileep:
Kernel based Matching and a Novel training approach for CNN-based QbE-STD. SPCOM 2020: 1-5 - [e1]B. R. Purushothama
Mining Intelligence and Knowledge Exploration - 7th International Conference, MIKE 2019, Goa, India, December 19-22, 2019, Proceedings. Lecture Notes in Computer Science 11987, Springer 2020, ISBN 978-3-030-66186-1 [contents]
2010 – 2019
- 2019
- [j1]Shikha Gupta
Segment-level probabilistic sequence kernel and segment-level pyramid match kernel based extreme learning machine for classification of varying length patterns of speech. Int. J. Speech Technol. 22(1): 231-249 (2019) - [c15]Shikha Gupta, Kishalaya De, Dileep Aroor Dinesh, Veena Thenkanidiyoor:
Emotion Recognition from Varying Length Patterns of Speech using CNN-based Segment-Level Pyramid Match Kernel based SVMs. NCC 2019: 1-6 - 2018
- [c14]Shikha Gupta, Dileep Aroor Dinesh, Veena Thenkanidiyoor:
Deep CNN based pseudo-concept selection and modeling for generation of semantic multinomial representation of scene images. COMAD/CODS 2018: 336-339 - [c13]Shikha Gupta, Manjush Mangal, Akshay Mathew, Dileep Aroor Dinesh, Arnav Bhavsar
CNN-Based Deep Spatial Pyramid Match Kernel for Classification of Varying Size Images. ICPRAM (Revised Selected Papers) 2018: 44-64 - [c12]Ankit Sharma, Apurv Kumar, Sony Allappa, Veena Thenkanidiyoor, Dileep Aroor Dinesh, Shikha Gupta:
Modified Time Flexible Kernel for Video Activity Recognition using Support Vector Machines. ICPRAM 2018: 133-140 - [c11]Shikha Gupta, Deepak Kumar Pradhan, Dileep Aroor Dinesh, Veena Thenkanidiyoor:
Deep Spatial Pyramid Match Kernel for Scene Classification. ICPRAM 2018: 141-148 - [c10]Sony Allappa, Veena Thenkanidiyoor, Dileep Aroor Dinesh:
Video Activity Recognition Using Sequence Kernel Based Support Vector Machines. ICPRAM (Revised Selected Papers) 2018: 164-185 - [c9]Sourab Mangrulkar
A Context-aware Convolutional Natural Language Generation model for Dialogue Systems. SIGDIAL Conference 2018: 191-200 - [c8]Spoorthy V
SVM Based Language Diarization for Code-Switched Bilingual Indian Speech Using Bottleneck Features. SLTU 2018: 132-136 - 2017
- [c7]Neeraj Sharma
Text Classification Using Hierarchical Sparse Representation Classifiers. ICMLA 2017: 1015-1019 - [c6]Shikha Gupta, Aroor Dinesh Dileep, Veena Thenkanidiyoor:
The semantic multinomial representation of images obtained using dynamic kernel based pseudo-concept SVMs. NCC 2017: 1-6 - [c5]Deepak Kumar Pradhan, Shikha Gupta, Veena Thenkanidiyoor, Dileep Aroor Dinesh:
Semantic Multinomial Representation for Scene Images Using CNN-Based Pseudo-concepts and Concept Neural Network. NCVPRIPG 2017: 400-409 - 2016
- [c4]Shikha Gupta, Aroor Dinesh Dileep, Veena Thenkanidiyoor:
Segment-level pyramid match kernels for the classification of varying length patterns of speech using SVMs. EUSIPCO 2016: 2030-2034 - [c3]Shikha Gupta, Veena Thenkanidiyoor, Aroor Dinesh Dileep:
Segment-Level Probabilistic Sequence Kernel Based Support Vector Machines for Classification of Varying Length Patterns of Speech. ICONIP (4) 2016: 321-328 - 2015
- [c2]Abhijeet Sachdev, Veena Thenkanidiyoor, Aroor Dinesh Dileep, C. Chandra Sekhar:
Example-Specific Density Based Matching Kernels for Scene Classification Using Support Vector Machines. ICMLA 2015: 122-127 - [c1]Abhijeet Sachdev, Aroor Dinesh Dileep, Veena Thenkanidiyoor:
Example-Specific Density Based Matching Kernel for Classification of Varying Length Patterns of Speech Using Support Vector Machines. ICONIP (1) 2015: 177-184
Coauthor Index
aka: Dileep Aroor Dinesh
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