Identification of Block Ciphers using Support Vector Machines. - Aroor Dinesh Dileep; Chellu Chandra Sekhar (IJCNN, 2006)

Representation and feature selection using multiple kernel learning. - Aroor Dinesh Dileep; Chellu Chandra Sekhar (IJCNN, 2009)

Scene Categorization Using Large Margin Gaussian Mixture Models. - T. Veena; Aroor Dinesh Dileep; Chellu Chandra Sekhar (IPCV, 2010)

Speaker recognition using pyramid match kernel based support vector machines. - Aroor Dinesh Dileep; C. Chandra Sekhar (Int. J. Speech Technol., 2012)

HMM based pyramid match kernel for classification of sequential patterns of speech using support vector machines. - Aroor Dinesh Dileep; C. Chandra Sekhar (ICASSP, 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)

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 (I3A@ICPR, 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)

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)

Example-Specific Density Based Matching Kernels for Scene Classification Using Support Vector Machines. - Abhijeet Sachdev; Veena Thenkanidiyoor; Aroor Dinesh Dileep; C. Chandra Sekhar (ICMLA, 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 (ICONIP (1), 2015)

Segment-level pyramid match kernels for the classification of varying length patterns of speech using SVMs. - Shikha Gupta; Aroor Dinesh Dileep; Veena Thenkanidiyoor (EUSIPCO, 2016)

Speech emotion recognition using kernel sparse representation based classifier. - Pulkit Sharma; Vinayak Abrol; Abhijeet Sachdev; Aroor Dinesh Dileep (EUSIPCO, 2016)

Bird Call Identification Using Dynamic Kernel Based Support Vector Machines and Deep Neural Networks. - Deep Chakraborty; Paawan Mukker; Padmanabhan Rajan; Aroor Dinesh Dileep (ICMLA, 2016)

Fractional Difference based Hybrid Model for Resource Prediction in Cloud Network. - Shaifu Gupta; Aroor Dinesh Dileep; Timothy A. Gonsalves (ICNCC, 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 (ICONIP (4), 2016)

Resource usage prediction of cloud workloads using deep bidirectional long short term memory networks. - Shaifu Gupta; Dileep Aroor Dinesh (ANTS, 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 (EUSIPCO, 2017)

Class specific GMM based sparse feature for speech units classification. - Pulkit Sharma; Vinayak Abrol; Aroor Dinesh Dileep; Anil Kumar Sao (EUSIPCO, 2017)

Rapid bird activity detection using probabilistic sequence kernels. - Anshul Thakur; R. Jyothi; Padmanabhan Rajan; Aroor Dinesh Dileep (EUSIPCO, 2017)

Text Classification Using Hierarchical Sparse Representation Classifiers. - Neeraj Sharma; Aroor Dinesh Dileep; Veena Thenkanidiyoor (ICMLA, 2017)

Online adaptation models for resource usage prediction in cloud network. - Shaifu Gupta; Dileep Aroor Dinesh (NCC, 2017)

The semantic multinomial representation of images obtained using dynamic kernel based pseudo-concept SVMs. - Shikha Gupta; Aroor Dinesh Dileep; Veena Thenkanidiyoor (NCC, 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 (NCVPRIPG, 2017)

Deep CNN based pseudo-concept selection and modeling for generation of semantic multinomial representation of scene images. - Shikha Gupta; Dileep Aroor Dinesh; Veena Thenkanidiyoor (COMAD/CODS, 2018)

Scene Image Classification Using Reduced Virtual Feature Representation in Sparse Framework. - Krishan Sharma; Shikha Gupta; Aroor Dinesh Dileep; Renu Rameshan (ICASSP, 2018)

Video Activity Recognition Using Sequence Kernel Based Support Vector Machines. - Sony Allappa; Veena Thenkanidiyoor; Dileep Aroor Dinesh (ICPRAM (Revised Selected Papers), 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 (ICPRAM (Revised Selected Papers), 2018)

Deep Spatial Pyramid Match Kernel for Scene Classification. - Shikha Gupta; Deepak Kumar Pradhan; Dileep Aroor Dinesh; Veena Thenkanidiyoor (ICPRAM, 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 (ICPRAM, 2018)

Association Learning based Hybrid Model for Cloud Workload Prediction. - Siddhant Kumar; Neha Muthiyan; Shaifu Gupta; Dileep Aroor Dinesh; Aditya Nigam (IJCNN, 2018)

A Context-aware Convolutional Natural Language Generation model for Dialogue Systems. - Sourab Mangrulkar; Suhani Shrivastava; Veena Thenkanidiyoor; Dileep Aroor Dinesh (SIGDIAL Conference, 2018)

SVM Based Language Diarization for Code-Switched Bilingual Indian Speech Using Bottleneck Features. - Spoorthy V; Veena Thenkanidiyoor; Dileep Aroor Dinesh (SLTU, 2018)

Sparse coding based features for speech units classification. - Pulkit Sharma; Vinayak Abrol; Aroor Dinesh Dileep; Anil Kumar Sao (Comput. Speech Lang., 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)

Spoken Language Identification Using Bidirectional LSTM Based LID Sequential Senones. - H. Muralikrishna; Pulkit Sapra; Anuksha Jain; Dileep Aroor Dinesh (ASRU, 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 (NCC, 2019)

Multi-Headed Self-Attention-based Hierarchical Model for Extractive Summarization. - Rayees Ahmad Dar; Aroor Dinesh Dileep (SocProS (1), 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)

Learning to Separate: Soundscape Classification using Foreground and Background. - Dhanunjaya Varma Devalraju; Padmanabhan Rajan; Aroor Dinesh Dileep (EUSIPCO, 2020)

Event-Driven Data Pipeline for Network Management Systems. - Ganesan Ponnuswami; Sriram Kailasam; Dileep Aroor Dinesh (ICCCNT, 2020)

Attention-Driven Projections for Soundscape Classification. - Dhanunjaya Varma Devalraju; H. Muralikrishna; Padmanabhan Rajan; Dileep Aroor Dinesh (INTERSPEECH, 2020)

Kernel based Matching and a Novel training approach for CNN-based QbE-STD. - Prajyot Naik; Manisha Naik Gaonkar; Veena Thenkanidiyoor; Aroor Dinesh Dileep (SPCOM, 2020)

Long range dependence in cloud servers: a statistical analysis based on Google workload trace. - Shaifu Gupta; Aroor Dinesh Dileep (Computing, 2020)

Relevance feedback based online learning model for resource bottleneck prediction in cloud servers. - Shaifu Gupta; Aroor Dinesh Dileep (Neurocomputing, 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)

Spoken Language Identification in Unseen Target Domain Using Within-Sample Similarity Loss. - Muralikrishna H; Shantanu Kapoor; Dileep Aroor Dinesh; Padmanabhan Rajan (ICASSP, 2021)

An Empirical Study on Machine Learning Models for Potato Leaf Disease Classification using RGB Images. - Soma Ghosh; Renu Rameshan; Dileep Aroor Dinesh (ICPRAM, 2021)

Noise-Robust Spoken Language Identification Using Language Relevance Factor Based Embedding. - Muralikrishna H; Shikha Gupta; Dileep Aroor Dinesh; Padmanabhan Rajan (SLT, 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)

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)

Evaluating Data-Parallel Distributed Training Strategies. - Ganesan Ponnuswami; Sriram Kailasam; Dileep Aroor Dinesh (COMSNETS, 2022)

Sieving Camera Trap Sequences in the Wild. - Anoushka Banerjee; Dileep Aroor Dinesh; Arnav Bhavsar (ICPRAM, 2022)

Perusal of Camera Trap Sequences Across Locations. - Anoushka Banerjee; Dileep Aroor Dinesh; Arnav Bhavsar (ICPRAM (Revised Selected Papers), 2022)

Fine Grained Few-Shot Classification with Contrastive Clues. - Anoushka Banerjee; Dileep Aroor Dinesh; Arnav Bhavsar (MLSP, 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)

Spoken language identification in unseen channel conditions using modified within-sample similarity loss. - Muralikrishna H; Dileep Aroor Dinesh (Pattern Recognit. Lett., 2022)

Adversarially Trained Hierarchical Attention Network for Domain-Invariant Spoken Language Identification. - Urvashi Goswami; H. Muralikrishna; Aroor Dinesh Dileep; Veena Thenkanidiyoor (SPECOM (2), 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 (SPECOM (2), 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 Effectiveness of Feature Reduction and Kernel-Based Matching for Query-by- Example Spoken Term Detection Using CNN. - Manisha Naik Gaonkar; Veena Thenkanidiyoor; Dileep Aroor Dinesh; H. Muralikrishna (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)

Predicting Semantic Concepts in Heterogeneous Radiographic Images. - Diana Miranda; Veena Thenkanidiyoor; Dileep Aroor Dinesh (IEEE Access, 2024)

Hierarchical Loss for Bi-Level Classification of Speech into Language and Dialects. - Ananya Angra; Muralikrishna H; Dileep Aroor Dinesh; Veena Thenkanidiyoor (ICASSP, 2025)

Exploring Aggregated wav2vec 2.0 Features and Dual-Stream TDNN for Efficient Spoken Dialect Identification. - Ananya Angra; H. Muralikrishna; Dileep Aroor Dinesh; Veena Thenkanidiyoor (IEEE Access, 2025)

A parallel computing approach to CNN-based QbE-STD using kernel-based matching. - Manisha Naik Gaonkar; Veena Thenkanidiyoor; Aroor Dinesh Dileep (J. Supercomput., 2025)

Exploring the Impact of Different Similarity Measures on Query-by-Example Spoken Term Detection. - Manisha Naik Gaonkar; Veena Thenkanidiyoor; Aroor Dinesh Dileep (SN Comput. Sci., 2025)