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Aroor Dinesh Dileep
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2020 – today
- 2025
- [j18]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
- [j17]Diana Miranda
, Veena Thenkanidiyoor, Dileep Aroor Dinesh:
Predicting Semantic Concepts in Heterogeneous Radiographic Images. IEEE Access 12: 56683-56700 (2024) - [j16]Muralikrishna H
Spoken Language Identification in Unseen Target Domain Using Centroid Similarity Loss With Adaptive Gradient Blending. IEEE Access 12: 95959-95971 (2024) - 2023
- [j15]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) - [c46]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 - [c45]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 - 2022
- [j14]Rayees Ahmad Dar, Aroor Dinesh Dileep:
Small, narrow, and parallel recurrent neural networks for sentence representation in extractive text summarization. J. Ambient Intell. Humaniz. Comput. 13(9): 4151-4157 (2022) - [j13]Muralikrishna H
Spoken language identification in unseen channel conditions using modified within-sample similarity loss. Pattern Recognit. Lett. 158: 16-23 (2022) - [c44]Ganesan Ponnuswami, Sriram Kailasam, Dileep Aroor Dinesh:
Evaluating Data-Parallel Distributed Training Strategies. COMSNETS 2022: 759-763 - [c43]Anoushka Banerjee, Dileep Aroor Dinesh, Arnav Bhavsar:
Perusal of Camera Trap Sequences Across Locations. ICPRAM (Revised Selected Papers) 2022: 152-174 - [c42]Anoushka Banerjee, Dileep Aroor Dinesh, Arnav Bhavsar:
Sieving Camera Trap Sequences in the Wild. ICPRAM 2022: 470-479 - [c41]Anoushka Banerjee, Dileep Aroor Dinesh, Arnav Bhavsar:
Fine Grained Few-Shot Classification with Contrastive Clues. MLSP 2022: 1-6 - 2021
- [j12]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) - [j11]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) - [c40]Muralikrishna H
Spoken Language Identification in Unseen Target Domain Using Within-Sample Similarity Loss. ICASSP 2021: 7223-7227 - [c39]Soma Ghosh, Renu Rameshan, Dileep Aroor Dinesh:
An Empirical Study on Machine Learning Models for Potato Leaf Disease Classification using RGB Images. ICPRAM 2021: 515-522 - [c38]Muralikrishna H, Shikha Gupta, Dileep Aroor Dinesh, Padmanabhan Rajan:
Noise-Robust Spoken Language Identification Using Language Relevance Factor Based Embedding. SLT 2021: 644-651 - 2020
- [j10]Shaifu Gupta
Long range dependence in cloud servers: a statistical analysis based on Google workload trace. Computing 102(4): 1031-1049 (2020) - [j9]Shaifu Gupta
Relevance feedback based online learning model for resource bottleneck prediction in cloud servers. Neurocomputing 402: 307-322 (2020) - [j8]Shaifu Gupta
Online Sparse BLSTM Models for Resource Usage Prediction in Cloud Datacentres. IEEE Trans. Netw. Serv. Manag. 17(4): 2335-2349 (2020) - [c37]Dhanunjaya Varma Devalraju
Learning to Separate: Soundscape Classification using Foreground and Background. EUSIPCO 2020: 21-25 - [c36]Ganesan Ponnuswami, Sriram Kailasam, Dileep Aroor Dinesh:
Event-Driven Data Pipeline for Network Management Systems. ICCCNT 2020: 1-6 - [c35]Dhanunjaya Varma Devalraju
Attention-Driven Projections for Soundscape Classification. INTERSPEECH 2020: 1206-1210 - [c34]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
2010 – 2019
- 2019
- [j7]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) - [c33]H. Muralikrishna
Spoken Language Identification Using Bidirectional LSTM Based LID Sequential Senones. ASRU 2019: 320-326 - [c32]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 - [c31]Rayees Ahmad Dar, Aroor Dinesh Dileep:
Multi-Headed Self-Attention-based Hierarchical Model for Extractive Summarization. SocProS (1) 2019: 87-96 - 2018
- [j6]Pulkit Sharma, Vinayak Abrol, Aroor Dinesh Dileep, Anil Kumar Sao:
Sparse coding based features for speech units classification. Comput. Speech Lang. 47: 333-350 (2018) - [j5]Shaifu Gupta
A joint feature selection framework for multivariate resource usage prediction in cloud servers using stability and prediction performance. J. Supercomput. 74(11): 6033-6068 (2018) - [c30]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 - [c29]Krishan Sharma, Shikha Gupta, Aroor Dinesh Dileep, Renu Rameshan:
Scene Image Classification Using Reduced Virtual Feature Representation in Sparse Framework. ICASSP 2018: 2701-2705 - [c28]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 - [c27]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 - [c26]Shikha Gupta, Deepak Kumar Pradhan, Dileep Aroor Dinesh, Veena Thenkanidiyoor:
Deep Spatial Pyramid Match Kernel for Scene Classification. ICPRAM 2018: 141-148 - [c25]Sony Allappa, Veena Thenkanidiyoor, Dileep Aroor Dinesh:
Video Activity Recognition Using Sequence Kernel Based Support Vector Machines. ICPRAM (Revised Selected Papers) 2018: 164-185 - [c24]Siddhant Kumar, Neha Muthiyan, Shaifu Gupta, Dileep Aroor Dinesh, Aditya Nigam:
Association Learning based Hybrid Model for Cloud Workload Prediction. IJCNN 2018: 1-8 - [c23]Sourab Mangrulkar
A Context-aware Convolutional Natural Language Generation model for Dialogue Systems. SIGDIAL Conference 2018: 191-200 - [c22]Spoorthy V
SVM Based Language Diarization for Code-Switched Bilingual Indian Speech Using Bottleneck Features. SLTU 2018: 132-136 - 2017
- [c21]Shaifu Gupta, Dileep Aroor Dinesh:
Resource usage prediction of cloud workloads using deep bidirectional long short term memory networks. ANTS 2017: 1-6 - [c20]Pulkit Sharma, Vinayak Abrol, Aroor Dinesh Dileep, Anil Kumar Sao:
Class specific GMM based sparse feature for speech units classification. EUSIPCO 2017: 528-532 - [c19]Anshul Thakur, R. Jyothi, Padmanabhan Rajan, Aroor Dinesh Dileep:
Rapid bird activity detection using probabilistic sequence kernels. EUSIPCO 2017: 1754-1758 - [c18]Vinayak Abrol, Pulkit Sharma, Anshul Thakur, Padmanabhan Rajan, Aroor Dinesh Dileep, Anil Kumar Sao:
Archetypal analysis based sparse convex sequence kernel for bird activity detection. EUSIPCO 2017: 1774-1778 - [c17]Neeraj Sharma
Text Classification Using Hierarchical Sparse Representation Classifiers. ICMLA 2017: 1015-1019 - [c16]Shaifu Gupta, Dileep Aroor Dinesh:
Online adaptation models for resource usage prediction in cloud network. NCC 2017: 1-6 - [c15]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 - [c14]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
- [c13]Pulkit Sharma, Vinayak Abrol, Abhijeet Sachdev, Aroor Dinesh Dileep:
Speech emotion recognition using kernel sparse representation based classifier. EUSIPCO 2016: 374-377 - [c12]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 - [c11]Deep Chakraborty, Paawan Mukker, Padmanabhan Rajan, Aroor Dinesh Dileep:
Bird Call Identification Using Dynamic Kernel Based Support Vector Machines and Deep Neural Networks. ICMLA 2016: 280-285 - [c10]Shaifu Gupta, Aroor Dinesh Dileep, Timothy A. Gonsalves:
Fractional Difference based Hybrid Model for Resource Prediction in Cloud Network. ICNCC 2016: 93-97 - [c9]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
- [c8]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 - [c7]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 - [c6]Pulkit Sharma, Vinayak Abrol, Aroor Dinesh Dileep, Anil Kumar Sao:
Sparse coding based features for speech units classification. INTERSPEECH 2015: 712-715 - 2014
- [j4]Aroor Dinesh Dileep, C. Chandra Sekhar:
Class-specific GMM based intermediate matching kernel for classification of varying length patterns of long duration speech using support vector machines. Speech Commun. 57: 126-143 (2014) - [j3]Aroor Dinesh Dileep, Chellu Chandra Sekhar:
GMM-Based Intermediate Matching Kernel for Classification of Varying Length Patterns of Long Duration Speech Using Support Vector Machines. IEEE Trans. Neural Networks Learn. Syst. 25(8): 1421-1432 (2014) - [c5]Krati Gupta, Vibha Gupta, Anil Kumar Sao, Arnav Bhavsar
Class-Specific Hierarchical Classification of HEp-2 Cell Images: The Case of Two Classes. I3A@ICPR 2014: 6-9 - 2013
- [j2]Aroor Dinesh Dileep, C. Chandra Sekhar:
HMM Based Intermediate Matching Kernel for Classification of Sequential Patterns of Speech Using Support Vector Machines. IEEE ACM Trans. Audio Speech Lang. Process. 21(12): 2570-2582 (2013) - [c4]Aroor Dinesh Dileep, C. Chandra Sekhar:
HMM based pyramid match kernel for classification of sequential patterns of speech using support vector machines. ICASSP 2013: 3562-3566 - 2012
- [j1]Aroor Dinesh Dileep, C. Chandra Sekhar:
Speaker recognition using pyramid match kernel based support vector machines. Int. J. Speech Technol. 15(3): 365-379 (2012) - 2010
- [c3]T. Veena, Aroor Dinesh Dileep, Chellu Chandra Sekhar:
Scene Categorization Using Large Margin Gaussian Mixture Models. IPCV 2010: 395-401
2000 – 2009
- 2009
- [c2]Aroor Dinesh Dileep, Chellu Chandra Sekhar:
Representation and feature selection using multiple kernel learning. IJCNN 2009: 717-722 - 2006
- [c1]Aroor Dinesh Dileep, Chellu Chandra Sekhar:
Identification of Block Ciphers using Support Vector Machines. IJCNN 2006: 2696-2701
Coauthor Index
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