Papers published/accepted in refereed journals

• P. Sharma, V. Abrol, A. D. Dileep and A. K. Sao, "Sparse coding based features for speech units classification", in Computer Speech & Language, vol. 47, pp. 333-350, 2018.
• A. D. Dileep and C. Chandra Sekhar, “GMM based intermediate matching kernel for classification of varying length patterns of long duration speech using support vector machines”, in IEEE Transactions on Neural Networks and Learning Systems, vol. 25, no. 8, pp. 1421-1432, August 2014.
• A. D. Dileep and C. Chandra Sekhar, “Class-specific GMM based intermediate matching kernel for classification of varying length patterns of long duration speech using support vector machines”, in Speech Communication, vol. 57, pp. 126-143, February 2014.
• A. D. Dileep and C. Chandra Sekhar, “HMM based intermediate matching kernel for classification of sequential patterns of speech using support vector machines”, in IEEE Transactions on Audio, Speech and Language Processing , vol. 21, no. 12, pp. 2570-2582, December 2013.
• A. D. Dileep and C. Chandra Sekhar, “Speaker identification using pyramid match kernel based support vector machines”, in International Journal of Speech Technology, vol. 15, no. 3, pp. 365-379, September 2012.
• S. Swapna, A. D. Dileep, C. Chandra Sekhar, and Sri Kant, “Block cipher identification using support vector classification and regression,” in Journel of Discrete Mathematical Sciences and Cryptography, vol. 13, no. 4, pp. 305-318, August 2010.

Papers in edited volumes

• T. Veena, A. D. Dileep and C. Chandra Sekhar, “Dynamic Kernels based Approaches to Analysis of Varying Length Patterns in Speech and Image Processing Tasks”, Chapter 13 in Pattern Recognition and Big Data, Amita Pal, Sankar K Pal, Eds. Hershey, PA, World Scientific, 2017.
• A. D. Dileep and C. Chandra Sekhar, “Speaker recognition using intermediate matching kernel based support vector machines”, in Forensics Speaker Recognition: Law Enforcement and Counter-Terrorism, A. Neustein and H. Patil, Eds., pp. 389-424, 2011.
• A. D. Dileep, T. Veena and C. Chandra Sekhar, “A review of kernel methods based approaches to classification and clustering of sequential patterns, Part I: Sequences of continuous feature vectors”, in Pattern Discovery Using Sequence Data 2. Mining: Applications and Studies, Pradeep Kumar, P. Radha Krishna and S. Bapi Raju, Eds. Hershey, PA, USA:IGI Global, pp. 24-50, 2011.
• T. Veena, A. D. Dileep and C. Chandra Sekhar, “A review of kernel methods based approaches to classification and clustering of sequential patterns, Part II: Sequences of discrete symbols”, in Pattern Discovery Using Sequence Data Mining: Applications and Studies, Pradeep Kumar, P. Radha Krishna and S. Bapi Raju, Eds. Hershey, PA, USA:IGI Global, pp. 51-71, 2011.

Papers in conferences

2018

2017

• A. Thakur, J. Jain, A. D. Dileep and P. Rajan, “Rapid Bird Activity Detection Using Probabilistic Sequence Kernels”, in Proceedings of 25th European Signal Processing Conference (EUSIPCO 2017), Kos Island, Greece, August 2017.
• P. Sharma, V. Abrol, A. D. Dileep and A. K. Sao, “Class specific GMM based sparse feature for speech units classification”, in Proceedings of 25th European Signal Processing Conference (EUSIPCO 2017), Kos Island, Greece, August 2017.
• V. Abrol, P. Sharma, A. Thakur, P. Rajan, A. D. Dileep and A. K. Sao, “Archetypal analysis based sparse convex sequence kernel for bird activity detection”, in Proceedings of 25th European Signal Processing Conference (EUSIPCO 2017), Kos Island, Greece, August 2017.
• Shikha Gupta, A. D. Dileep, and T. Veena, "The Semantic Multinomial Representation of Images Obtained using Dynamic Kernel Based Pseudo-concept SVMs", in Proceedings of 23rd National Conference on Communications (NCC 2017), Chennai, India, March 2017.
• Shaifu Gupta and A. D. Dileep, "Online Adaptation Models for Resource Usage Prediction in Cloud Network", in Proceedings of 23rd National Conference on Communications (NCC 2017), Chennai, India, March 2017.

2016

• Shaifu Gupta, A. D. Dileep and T. A. Gonsalves, "Fractional Difference based Hybrid Model for Resource Prediction in Cloud Network," in Proceedings of Fifth International Conference on Network, Communication and Computing (ICNCC 2016), Kyoto, Japan, December 2016, pp. 93-97.
• D. Chakraborty, P. Mukker, P. Rajan and A. D. Dileep, "Bird Call Identification Using Dynamic Kernel Based Support Vector Machines and Deep Neural Networks," in Proceedings of 15th IEEE International Conference on Machine Learning and Applications (ICMLA 2016), Anaheim, CA, December 2016, pp. 280-285.
• Shikha Gupta, A. D. Dileep, and T. Veena, "Segment-level Probabilistic Sequence Kernel based Support Vector Machines for Classification of Varying Length Patterns of Speech", in Proceedings of The 23rd International Conference on Neural Information Processing (ICONIP 2016), Kyoto, Japan, October 2016, Part IV, LNCS 9950, pp. 321–328.
• Neeraj Sharma, Anshu Sharma, A. D. Dileep, and T. Veena, "Text Classification using Combined Sparse Representation Classifiers and Support Vector Machines", in Proceedings of 4th International Symposium on Computational and Business Intelligence (ISCBI 2016), Olten, Switzerland, September 2016.
• P. Sharma, V. Abrol, A. Sachdev and A. D. Dileep, "Speech emotion recognition using kernel sparse representation based classifier," in Proceedings of 24th European Signal Processing Conference (EUSIPCO 2016), Budapest, August 2016, pp. 374-377.
• Shikha Gupta, A.D.Dileep, Veena Thenkanidiyoor, "Segment-Level Pyramid Match Kernels For The Classification of Varying Length Patterns of Speech Using SVMs," in Proceedings of 24th European Signal Processing Conference (EUSIPCO 2016), Budapest, August 2016, pp. 2030-2034.
• Shikha Gupta, A. D. Dileep, and T. Veena, "Spatial Probabilistic Sequence Kernel for Scene Classification using Support Vector Machines”, in Proceedings of Women in Computer Vision (WiCV 2016) workshop in Computer Vision for Pattern Recognition (CVPR 2016), Las Vegas, NV, June 2016.
• Shikha Gupta, Samriddhi Jain, A. D. Dileep, and T. Veena, "Semantic Multinomial Representation for Scene Images Using Dynamic Kernel based SVMs”, in Proceedings of Scene Understanding Workshop (SUNw) in Computer Vision for Pattern Recognition (CVPR 2016), Las Vegas, NV, June 2016

2015

• A. Sachdev, T. Veena, A. D. Dileep and C. Chandra Sekhar, “Example-specific density based matching kernels for scene classification using support vector machines, In Proceedings of 14th International Conference on Machine Learning and Applications (ICMLA 2015),  Miami, Florida, USA, December 2015, pp. 115-120.
• A. Sachdev, A. D. Dileep and T. Veena, “A family of example-specific density based matching kernel for classification of varying length patterns of speech using support vector machines”, In Proceedings of 2nd International Conference on Soft Computing and machine Intelligence (ISCMI 2015), Hong Kong, November 2015, pp. 121-125. [This paper bagged INNS Best Paper Award.]
• A. Sachdev, A. D. Dileep, and T. Veena, “Example-specific density based matching kernel for classification of varying length patterns of speech using support vector machines”, In Proceedings of 22nd International Conference on Neural Information Processing (ICONIP 2015), Istanbul, Turkey, November 2015, Part I, LNCS 9489, pp. 1–8.
• P. Sharma, V. Abrol, A. D. Dileep, and A. K. Sao, “Sparse coding based features for speech units classification”, in Proceedings of INTERSPEECH 2015, Dresden, Germany, September 2015.

2014

• A. D. Dileep and C. Chandra Sekhar, “HMM based intermediate matching kernel for classification of sequential patterns of speech using support vector machines”, In Proceedings of 2nd IEEE Global Conference on Signal and Information Processing, (GlobalSIP 2014), Atlanta, Georgia, USA, December 2014.
• K. Gupta, V. Gupta, A. K. Sao, A. Bhavsar, and A. D. Dileep, “Class-specific hierarchical classification of HEp-2 cell images: The case of two classes,” In Proceedings of 2014 1st Workshop on Pattern Recognition Techniques for Indirect Immunofluorescence Images (I3A), August 2014, pp. 6-9.

2006-2013

• A. D. Dileep and C. Chandra Sekhar, “HMM based pyramid match kernel for classification of sequential patterns of speech using support vector machines”, In Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing, (ICASSP 2013), Vancouver, BC, Canada, May 2013, pp 3562-3566.
• A. D. Dileep and C. Chandra Sekhar, “Class-specific GMM based intermediate matching kernel for classification of varying length patterns of speech using support vector machines”, In Proceedings of Centenary Conference-Electrical Engineering, IISc, Bangalore, Karnataka, India, December 2011, pp. 155-160.
• A. D. Dileep and C. Chandra Sekhar, “Selection of non-uniformly spaced orientations for Gabor filters using multiple kernel learning,” In Proceedings of IEEE International Workshop on Machine Learning for Signal Processing, (MLSP 2010), Kittila, Finland, August 2010, pp 415-420.
• T. Veena, A. D. Dileep and C. Chandra Sekhar, “Scene categorization using large margin Gaussian mixture models,” In Proceedings of International Conference on Image Processing, Computer Vision, & Pattern Recognition, (IPCV 2010), Los Vegas, USA, July 2010, pp. 395-401.
• A. D. Dileep and C. Chandra Sekhar, “Representation and feature selection using multiple kernel learning,” In Proceedings of International Joint Conference on Neural Networks, (IJCNN 2009), Atlanta, USA, June 2009, pp. 717-722.
• A. D. Dileep and C. Chandra Sekhar, “Combining representation and feature selection using multiple kernel learning,” In Proceedings of International Conference on Cognitive and Neural Systems, (ICCNS 2009), Boston, USA, May 2009.
• S. Swapna, A. D. Dileep and C. Chandra Sekhar, Sri Kant and P. K. Saxena, “Block cipher identification using support vector classification and regression,” In Proceedings of Pre-ICM (International Convention on Mathematical Sciences), New Delhi, India, December 2008.
• A. D. Dileep, S. Swapna, C. Chandra Sekhar, Sri Kant and P. K. Saxena, “Decryption of Feistel type block ciphers using hetero-association model,” In Proceedings of National Conference on Communications, (NCC 2008), Mumbai, India, February 2008, pp. 74-78.
• A. D. Dileep and C. Chandra Sekhar, “Identification of block ciphers using support vector machines,” In Proceedings of International Joint Conference on Neural Networks, (IJCNN 2006), Vancouver, BC, Canada, July 2006, pp. 2696-2701.

• IEEE International Conference on Acoustics, Speech, and Signal Processing, (ICASSP-2013) at Vancouver, BC, Canada, May 25-31, 2013.
• Winter School on Speech and Audio Processing (WiSSAP-2013): Statistical Parametric Speech Synthesis at Indian Institute of Technology Madras, Chennai, India, February 22-25, 2013.
• Winter School on Speech and Audio Processing (WiSSAP-2011): Speech Enhancement at Indian Institute of Technology Guwahati, Guwahati, India, January 08-11, 2011.
• Indo-US Symposium on New Directions in Machine Learning, Game Theory and Optimization at Indian Institute of Science, Bangalore, India, November 12-13, 2010.
• Machine Learning Summer School (MLSS 2010) conducted by Yahoo Labs Bangalore at Indian Institute of Science, Bangalore, India, June 14-19, 2010.
• National Conference on Communications (NCC-2010) at Indian Institute of Technology Madras, Chennai, India, January 29-31, 2010.
• The 2010 Winter School on Machine Learning and Computer Vision conducted jointly by Canadian Institute for Advanced Research (CIFAR) and Microsoft Research India (MSR India) at Indian Institute of Science, Bangalore, India, January 9-17, 2010.
• International Joint Conference on Neural Networks (IJCNN-2009) at Atlanta, Georgia, US, June 14-19, 2009.
• International Conference on Cognitive and Neural Systems (ICCNS-2009) at Boston University, Boston, MA, US, May 27-30, 2009.
• Winter School on Speech and Audio Processing (WiSSAP-2009): Speaker and Language Recognition at Indian Institute of Technology Kanpur, Chennai, India, January 09-12, 2009.
• Indo-Israeli Workshop on Computer Vision (WCV08) at International Institute of Information Technology, Hyderabad, India, February 04-05, 2008.
• National Conference on Communications (NCC-2008) at Indian Institute of Technology Bombay, Mumbai, India, February 01-03, 2008.
• Winter School on Speech and Audio Processing (WiSSAP-2008): Speech Synthesis at Indian Institute of Technology Madras, Chennai, India, January 02-05, 2008.
• Indo-US Shared Vision Workshop on Soft, Quantum and Nano Computing (SQUAN-2007) at Dayalbagh Educational Institute, Dayalbagh, Agra, February 2007.
• Workshop on Speech and Image Processing (WISP-2006) at Indian Institute of Technology Madras, Chennai, India, February 2006.
• Winter School on Soft Computing Tools, Simulation and Applications (WSSCTSA) at Center for Soft Computing Research: A National Facility, Indian Statistical Institute, Kolkata, India, January 10-14, 2006.
• Winter School on Speech and Audio Processing (WiSSAP-2006): Automatic Speech Recognition and Understanding at Indian Institute of Science, Bangalore, India, January 04-07, 2006.