Aroor Dinesh Dileep

According to our database, Aroor Dinesh Dileep authored at least 63 papers between 2006 and 2025.

Collaborative distances:

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

2025

A parallel computing approach to CNN-based QbE-STD using kernel-based matching.

Manisha Naik Gaonkar, Veena Thenkanidiyoor, Aroor Dinesh Dileep

J. Supercomput., January, 2025

2024

Predicting Semantic Concepts in Heterogeneous Radiographic Images.

Diana Miranda, Veena Thenkanidiyoor, Dileep Aroor Dinesh

IEEE Access, 2024

Spoken Language Identification in Unseen Target Domain Using Centroid Similarity Loss With Adaptive Gradient Blending.

Muralikrishna H, Sujeet Kumar, Dileep Aroor Dinesh, Veena Thenkanidiyoor

IEEE Access, 2024

2023

Detecting the modality of a medical image using visual and textual features.

Diana Miranda, Veena Thenkanidiyoor, Dileep Aroor Dinesh

Biomed. Signal Process. Control., 2023

Exploring the Impact of Different Approaches for Spoken Dialect Identification of Konkani Language.

Sean Monteiro, Ananya Angra, Muralikrishna H, Veena Thenkanidiyoor, Aroor Dinesh Dileep

Proceedings of the Speech and Computer - 25th International Conference, 2023

Adversarially Trained Hierarchical Attention Network for Domain-Invariant Spoken Language Identification.

Urvashi Goswami, H. Muralikrishna, Aroor Dinesh Dileep, Veena Thenkanidiyoor

Proceedings of the Speech and Computer - 25th International Conference, 2023

2022

Spoken language identification in unseen channel conditions using modified within-sample similarity loss.

Muralikrishna H, Dileep Aroor Dinesh

Pattern Recognit. Lett., 2022

Small, narrow, and parallel recurrent neural networks for sentence representation in extractive text summarization.

Rayees Ahmad Dar, Aroor Dinesh Dileep

J. Ambient Intell. Humaniz. Comput., 2022

Fine Grained Few-Shot Classification with Contrastive Clues.

Anoushka Banerjee, Dileep Aroor Dinesh, Arnav Bhavsar

Proceedings of the 32nd IEEE International Workshop on Machine Learning for Signal Processing, 2022

Perusal of Camera Trap Sequences Across Locations.

Anoushka Banerjee, Dileep Aroor Dinesh, Arnav Bhavsar

Proceedings of the Pattern Recognition Applications and Methods, 2022

Sieving Camera Trap Sequences in the Wild.

Anoushka Banerjee, Dileep Aroor Dinesh, Arnav Bhavsar

Proceedings of the 11th International Conference on Pattern Recognition Applications and Methods, 2022

Evaluating Data-Parallel Distributed Training Strategies.

Ganesan Ponnuswami, Sriram Kailasam, Dileep Aroor Dinesh

Proceedings of the 14th International Conference on COMmunication Systems & NETworkS, 2022

2021

Visual Semantic-Based Representation Learning Using Deep CNNs for Scene Recognition.

Shikha Gupta, Krishan Sharma, Dileep Aroor Dinesh, Veena Thenkanidiyoor

ACM Trans. Multim. Comput. Commun. Appl., 2021

Recognition of varying size scene images using semantic analysis of deep activation maps.

Shikha Gupta, Aroor Dinesh Dileep, Veena Thenkanidiyoor

Mach. Vis. Appl., 2021

Noise-Robust Spoken Language Identification Using Language Relevance Factor Based Embedding.

Muralikrishna H, Shikha Gupta, Dileep Aroor Dinesh, Padmanabhan Rajan

Proceedings of the IEEE Spoken Language Technology Workshop, 2021

An Empirical Study on Machine Learning Models for Potato Leaf Disease Classification using RGB Images.

Soma Ghosh, Renu Rameshan, Dileep Aroor Dinesh

Proceedings of the 10th International Conference on Pattern Recognition Applications and Methods, 2021

Spoken Language Identification in Unseen Target Domain Using Within-Sample Similarity Loss.

Muralikrishna H, Shantanu Kapoor, Dileep Aroor Dinesh, Padmanabhan Rajan

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

Online Sparse BLSTM Models for Resource Usage Prediction in Cloud Datacentres.

Shaifu Gupta, Aroor Dinesh Dileep, Timothy A. Gonsalves

IEEE Trans. Netw. Serv. Manag., 2020

Relevance feedback based online learning model for resource bottleneck prediction in cloud servers.

Shaifu Gupta, Aroor Dinesh Dileep

Neurocomputing, 2020

Long range dependence in cloud servers: a statistical analysis based on Google workload trace.

Shaifu Gupta, Aroor Dinesh Dileep

Computing, 2020

Kernel based Matching and a Novel training approach for CNN-based QbE-STD.

Prajyot Naik, Manisha Naik Gaonkar, Veena Thenkanidiyoor, Aroor Dinesh Dileep

Proceedings of the International Conference on Signal Processing and Communications, 2020

Attention-Driven Projections for Soundscape Classification.

Dhanunjaya Varma Devalraju, H. Muralikrishna, Padmanabhan Rajan, Dileep Aroor Dinesh

Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

Event-Driven Data Pipeline for Network Management Systems.

Ganesan Ponnuswami, Sriram Kailasam, Dileep Aroor Dinesh

Proceedings of the 11th International Conference on Computing, 2020

Learning to Separate: Soundscape Classification using Foreground and Background.

Dhanunjaya Varma Devalraju, Padmanabhan Rajan, Aroor Dinesh Dileep

Proceedings of the 28th European Signal Processing Conference, 2020

2019

Segment-level probabilistic sequence kernel and segment-level pyramid match kernel based extreme learning machine for classification of varying length patterns of speech.

Shikha Gupta, Ahmed Karanath, Kansul Mahrifa, Aroor Dinesh Dileep, Veena Thenkanidiyoor

Int. J. Speech Technol., 2019

Multi-Headed Self-Attention-based Hierarchical Model for Extractive Summarization.

Rayees Ahmad Dar, Aroor Dinesh Dileep

Proceedings of the Soft Computing for Problem Solving 2019, 2019

Emotion Recognition from Varying Length Patterns of Speech using CNN-based Segment-Level Pyramid Match Kernel based SVMs.

Shikha Gupta, Kishalaya De, Dileep Aroor Dinesh, Veena Thenkanidiyoor

Proceedings of the National Conference on Communications, 2019

Spoken Language Identification Using Bidirectional LSTM Based LID Sequential Senones.

H. Muralikrishna, Pulkit Sapra, Anuksha Jain, Dileep Aroor Dinesh

Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2019

2018

A joint feature selection framework for multivariate resource usage prediction in cloud servers using stability and prediction performance.

Shaifu Gupta, Aroor Dinesh Dileep, Timothy A. Gonsalves

J. Supercomput., 2018

Sparse coding based features for speech units classification.

Pulkit Sharma, Vinayak Abrol, Aroor Dinesh Dileep, Anil Kumar Sao

Comput. Speech Lang., 2018

SVM Based Language Diarization for Code-Switched Bilingual Indian Speech Using Bottleneck Features.

Spoorthy V, Veena Thenkanidiyoor, Dileep Aroor Dinesh

Proceedings of the 6th Intl. Workshop on Spoken Language Technologies for Under-Resourced Languages, 2018

A Context-aware Convolutional Natural Language Generation model for Dialogue Systems.

Sourab Mangrulkar, Suhani Shrivastava, Veena Thenkanidiyoor, Dileep Aroor Dinesh

Proceedings of the 19th Annual SIGdial Meeting on Discourse and Dialogue, 2018

Association Learning based Hybrid Model for Cloud Workload Prediction.

Siddhant Kumar, Neha Muthiyan, Shaifu Gupta, Dileep Aroor Dinesh, Aditya Nigam

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Modified Time Flexible Kernel for Video Activity Recognition using Support Vector Machines.

Ankit Sharma, Apurv Kumar, Sony Allappa, Veena Thenkanidiyoor, Dileep Aroor Dinesh, Shikha Gupta

Proceedings of the 7th International Conference on Pattern Recognition Applications and Methods, 2018

Deep Spatial Pyramid Match Kernel for Scene Classification.

Shikha Gupta, Deepak Kumar Pradhan, Dileep Aroor Dinesh, Veena Thenkanidiyoor

Proceedings of the 7th International Conference on Pattern Recognition Applications and Methods, 2018

CNN-Based Deep Spatial Pyramid Match Kernel for Classification of Varying Size Images.

Shikha Gupta, Manjush Mangal, Akshay Mathew, Dileep Aroor Dinesh, Arnav Bhavsar, Veena Thenkanidiyoor

Proceedings of the Pattern Recognition Applications and Methods, 2018

Video Activity Recognition Using Sequence Kernel Based Support Vector Machines.

Sony Allappa, Veena Thenkanidiyoor, Dileep Aroor Dinesh

Proceedings of the Pattern Recognition Applications and Methods, 2018

Scene Image Classification Using Reduced Virtual Feature Representation in Sparse Framework.

Krishan Sharma, Shikha Gupta, Aroor Dinesh Dileep, Renu Rameshan

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Deep CNN based pseudo-concept selection and modeling for generation of semantic multinomial representation of scene images.

Shikha Gupta, Dileep Aroor Dinesh, Veena Thenkanidiyoor

Proceedings of the ACM India Joint International Conference on Data Science and Management of Data, 2018

2017

Semantic Multinomial Representation for Scene Images Using CNN-Based Pseudo-concepts and Concept Neural Network.

Deepak Kumar Pradhan, Shikha Gupta, Veena Thenkanidiyoor, Dileep Aroor Dinesh

Proceedings of the Computer Vision, Pattern Recognition, Image Processing, and Graphics, 2017

The semantic multinomial representation of images obtained using dynamic kernel based pseudo-concept SVMs.

Shikha Gupta, Aroor Dinesh Dileep, Veena Thenkanidiyoor

Proceedings of the Twenty-third National Conference on Communications, 2017

Online adaptation models for resource usage prediction in cloud network.

Shaifu Gupta, Dileep Aroor Dinesh

Proceedings of the Twenty-third National Conference on Communications, 2017

Text Classification Using Hierarchical Sparse Representation Classifiers.

Neeraj Sharma, Aroor Dinesh Dileep, Veena Thenkanidiyoor

Proceedings of the 16th IEEE International Conference on Machine Learning and Applications, 2017

Rapid bird activity detection using probabilistic sequence kernels.

Anshul Thakur, R. Jyothi, Padmanabhan Rajan, Aroor Dinesh Dileep

Proceedings of the 25th European Signal Processing Conference, 2017

Class specific GMM based sparse feature for speech units classification.

Pulkit Sharma, Vinayak Abrol, Aroor Dinesh Dileep, Anil Kumar Sao

Proceedings of the 25th European Signal Processing Conference, 2017

Archetypal analysis based sparse convex sequence kernel for bird activity detection.

Vinayak Abrol, Pulkit Sharma, Anshul Thakur, Padmanabhan Rajan, Aroor Dinesh Dileep, Anil Kumar Sao

Proceedings of the 25th European Signal Processing Conference, 2017

Resource usage prediction of cloud workloads using deep bidirectional long short term memory networks.

Shaifu Gupta, Dileep Aroor Dinesh

Proceedings of the 2017 IEEE International Conference on Advanced Networks and Telecommunications Systems, 2017

2016

Segment-Level Probabilistic Sequence Kernel Based Support Vector Machines for Classification of Varying Length Patterns of Speech.

Shikha Gupta, Veena Thenkanidiyoor, Aroor Dinesh Dileep

Proceedings of the Neural Information Processing - 23rd International Conference, 2016

Fractional Difference based Hybrid Model for Resource Prediction in Cloud Network.

Shaifu Gupta, Aroor Dinesh Dileep, Timothy A. Gonsalves

Proceedings of the Fifth International Conference on Network, Communication and Computing, 2016

Bird Call Identification Using Dynamic Kernel Based Support Vector Machines and Deep Neural Networks.

Deep Chakraborty, Paawan Mukker, Padmanabhan Rajan, Aroor Dinesh Dileep

Proceedings of the 15th IEEE International Conference on Machine Learning and Applications, 2016

Speech emotion recognition using kernel sparse representation based classifier.

Pulkit Sharma, Vinayak Abrol, Abhijeet Sachdev, Aroor Dinesh Dileep

Proceedings of the 24th European Signal Processing Conference, 2016

Segment-level pyramid match kernels for the classification of varying length patterns of speech using SVMs.

Shikha Gupta, Aroor Dinesh Dileep, Veena Thenkanidiyoor

Proceedings of the 24th European Signal Processing Conference, 2016

2015

Example-Specific Density Based Matching Kernel for Classification of Varying Length Patterns of Speech Using Support Vector Machines.

Abhijeet Sachdev, Aroor Dinesh Dileep, Veena Thenkanidiyoor

Proceedings of the Neural Information Processing - 22nd International Conference, 2015

Example-Specific Density Based Matching Kernels for Scene Classification Using Support Vector Machines.

Abhijeet Sachdev, Veena Thenkanidiyoor, Aroor Dinesh Dileep, C. Chandra Sekhar

Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015

2014

GMM-Based Intermediate Matching Kernel for Classification of Varying Length Patterns of Long Duration Speech Using Support Vector Machines.

Aroor Dinesh Dileep, Chellu Chandra Sekhar

IEEE Trans. Neural Networks Learn. Syst., 2014

Class-specific GMM based intermediate matching kernel for classification of varying length patterns of long duration speech using support vector machines.

Aroor Dinesh Dileep, C. Chandra Sekhar

Speech Commun., 2014

Class-Specific Hierarchical Classification of HEp-2 Cell Images: The Case of Two Classes.

Krati Gupta, Vibha Gupta, Anil Kumar Sao, Arnav Bhavsar, Aroor Dinesh Dileep

Proceedings of the 1st Workshop on Pattern Recognition Techniques for Indirect Immunofluorescence Images, 2014

2013

HMM Based Intermediate Matching Kernel for Classification of Sequential Patterns of Speech Using Support Vector Machines.

Aroor Dinesh Dileep, C. Chandra Sekhar

IEEE ACM Trans. Audio Speech Lang. Process., 2013

HMM based pyramid match kernel for classification of sequential patterns of speech using support vector machines.

Aroor Dinesh Dileep, C. Chandra Sekhar

Proceedings of the IEEE International Conference on Acoustics, 2013

2012

Speaker recognition using pyramid match kernel based support vector machines.

Aroor Dinesh Dileep, C. Chandra Sekhar

Int. J. Speech Technol., 2012

2010

Scene Categorization Using Large Margin Gaussian Mixture Models.

T. Veena, Aroor Dinesh Dileep, Chellu Chandra Sekhar

Proceedings of the 2010 International Conference on Image Processing, 2010

2009

Representation and feature selection using multiple kernel learning.

Aroor Dinesh Dileep, Chellu Chandra Sekhar

Proceedings of the International Joint Conference on Neural Networks, 2009

2006

Identification of Block Ciphers using Support Vector Machines.

Aroor Dinesh Dileep, Chellu Chandra Sekhar

Proceedings of the International Joint Conference on Neural Networks, 2006