Aroor Dinesh Dileep

According to our database1, Aroor Dinesh Dileep authored at least 60 papers between 2006 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Detecting the modality of a medical image using visual and textual features.
Biomed. Signal Process. Control., 2023

Exploring the Impact of Different Approaches for Spoken Dialect Identification of Konkani Language.
Proceedings of the Speech and Computer - 25th International Conference, 2023

Adversarially Trained Hierarchical Attention Network for Domain-Invariant Spoken Language Identification.
Proceedings of the Speech and Computer - 25th International Conference, 2023

2022
Spoken language identification in unseen channel conditions using modified within-sample similarity loss.
Pattern Recognit. Lett., 2022

Small, narrow, and parallel recurrent neural networks for sentence representation in extractive text summarization.
J. Ambient Intell. Humaniz. Comput., 2022

Fine Grained Few-Shot Classification with Contrastive Clues.
Proceedings of the 32nd IEEE International Workshop on Machine Learning for Signal Processing, 2022

Perusal of Camera Trap Sequences Across Locations.
Proceedings of the Pattern Recognition Applications and Methods, 2022

Sieving Camera Trap Sequences in the Wild.
Proceedings of the 11th International Conference on Pattern Recognition Applications and Methods, 2022

Evaluating Data-Parallel Distributed Training Strategies.
Proceedings of the 14th International Conference on COMmunication Systems & NETworkS, 2022

2021
Visual Semantic-Based Representation Learning Using Deep CNNs for Scene Recognition.
ACM Trans. Multim. Comput. Commun. Appl., 2021

Recognition of varying size scene images using semantic analysis of deep activation maps.
Mach. Vis. Appl., 2021

Noise-Robust Spoken Language Identification Using Language Relevance Factor Based Embedding.
Proceedings of the IEEE Spoken Language Technology Workshop, 2021

An Empirical Study on Machine Learning Models for Potato Leaf Disease Classification using RGB Images.
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.
Proceedings of the IEEE International Conference on Acoustics, 2021

2020
Online Sparse BLSTM Models for Resource Usage Prediction in Cloud Datacentres.
IEEE Trans. Netw. Serv. Manag., 2020

Relevance feedback based online learning model for resource bottleneck prediction in cloud servers.
Neurocomputing, 2020

Long range dependence in cloud servers: a statistical analysis based on Google workload trace.
Computing, 2020

Kernel based Matching and a Novel training approach for CNN-based QbE-STD.
Proceedings of the International Conference on Signal Processing and Communications, 2020

Attention-Driven Projections for Soundscape Classification.
Proceedings of the Interspeech 2020, 2020

Event-Driven Data Pipeline for Network Management Systems.
Proceedings of the 11th International Conference on Computing, 2020

Learning to Separate: Soundscape Classification using Foreground and Background.
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.
Int. J. Speech Technol., 2019

Multi-Headed Self-Attention-based Hierarchical Model for Extractive Summarization.
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.
Proceedings of the National Conference on Communications, 2019

Spoken Language Identification Using Bidirectional LSTM Based LID Sequential Senones.
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.
J. Supercomput., 2018

Sparse coding based features for speech units classification.
Comput. Speech Lang., 2018

SVM Based Language Diarization for Code-Switched Bilingual Indian Speech Using Bottleneck Features.
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.
Proceedings of the 19th Annual SIGdial Meeting on Discourse and Dialogue, 2018

Association Learning based Hybrid Model for Cloud Workload Prediction.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Modified Time Flexible Kernel for Video Activity Recognition using Support Vector Machines.
Proceedings of the 7th International Conference on Pattern Recognition Applications and Methods, 2018

Deep Spatial Pyramid Match Kernel for Scene Classification.
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.
Proceedings of the Pattern Recognition Applications and Methods, 2018

Video Activity Recognition Using Sequence Kernel Based Support Vector Machines.
Proceedings of the Pattern Recognition Applications and Methods, 2018

Scene Image Classification Using Reduced Virtual Feature Representation in Sparse Framework.
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.
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.
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.
Proceedings of the Twenty-third National Conference on Communications, 2017

Online adaptation models for resource usage prediction in cloud network.
Proceedings of the Twenty-third National Conference on Communications, 2017

Text Classification Using Hierarchical Sparse Representation Classifiers.
Proceedings of the 16th IEEE International Conference on Machine Learning and Applications, 2017

Rapid bird activity detection using probabilistic sequence kernels.
Proceedings of the 25th European Signal Processing Conference, 2017

Class specific GMM based sparse feature for speech units classification.
Proceedings of the 25th European Signal Processing Conference, 2017

Archetypal analysis based sparse convex sequence kernel for bird activity detection.
Proceedings of the 25th European Signal Processing Conference, 2017

Resource usage prediction of cloud workloads using deep bidirectional long short term memory networks.
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.
Proceedings of the Neural Information Processing - 23rd International Conference, 2016

Fractional Difference based Hybrid Model for Resource Prediction in Cloud Network.
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.
Proceedings of the 15th IEEE International Conference on Machine Learning and Applications, 2016

Speech emotion recognition using kernel sparse representation based classifier.
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.
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.
Proceedings of the Neural Information Processing - 22nd International Conference, 2015

Example-Specific Density Based Matching Kernels for Scene Classification Using Support Vector Machines.
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.
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.
Speech Commun., 2014

Class-Specific Hierarchical Classification of HEp-2 Cell Images: The Case of Two Classes.
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.
IEEE ACM Trans. Audio Speech Lang. Process., 2013

HMM based pyramid match kernel for classification of sequential patterns of speech using support vector machines.
Proceedings of the IEEE International Conference on Acoustics, 2013

2012
Speaker recognition using pyramid match kernel based support vector machines.
Int. J. Speech Technol., 2012

2010
Scene Categorization Using Large Margin Gaussian Mixture Models.
Proceedings of the 2010 International Conference on Image Processing, 2010

2009
Representation and feature selection using multiple kernel learning.
Proceedings of the International Joint Conference on Neural Networks, 2009

2006
Identification of Block Ciphers using Support Vector Machines.
Proceedings of the International Joint Conference on Neural Networks, 2006


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