| Towards fast, view-invariant human action recognition S Cherla, K Kulkarni, A Kale, V Ramasubramanian 2008 IEEE Computer Society Conference on Computer Vision and Pattern …, 2008 | 71 | 2008 |
| An efficient shift-invariant model for polyphonic music transcription E Benetos, S Cherla, T Weyde | 47 | 2013 |
| RNN-based music language models for improving automatic music transcription S Sigtia, E Benetos, S Cherla, T Weyde, A Garcez, S Dixon | 38 | 2014 |
| Regression methods for virtual metrology of layer thickness in chemical vapor deposition H Purwins, B Barak, A Nagi, R Engel, U Höckele, A Kyek, S Cherla, ... IEEE/ASME Transactions on Mechatronics 19 (1), 1-8, 2013 | 36 | 2013 |
| Continuous audio analytics by HMM and viterbi decoding V Ramasubramanian, R Karthik, S Thiyagarajan, S Cherla 2011 IEEE international conference on acoustics, speech and signal …, 2011 | 22 | 2011 |
| A Distributed Model For Multiple-Viewpoint Melodic Prediction. S Cherla, T Weyde, A Garcez, M Pearce ISMIR, 15-20, 2013 | 15 | 2013 |
| StructureNet: Inducing Structure in Generated Melodies. G Medeot, S Cherla, K Kosta, M McVicar, S Abdallah, M Selvi, ... ISMIR, 725-731, 2018 | 14 | 2018 |
| Generalising the discriminative restricted boltzmann machines S Cherla, SN Tran, AA Garcez, T Weyde International Conference on Artificial Neural Networks, 111-119, 2017 | 12 | 2017 |
| Discriminative learning and inference in the Recurrent Temporal RBM for melody modelling S Cherla, SN Tran, AA Garcez, T Weyde 2015 International Joint Conference on Neural Networks (IJCNN), 1-8, 2015 | 10 | 2015 |
| Automatic phrase continuation from guitar and bass guitar melodies S Cherla, H Purwins, M Marchini Computer Music Journal 37 (3), 68-81, 2013 | 10 | 2013 |
| A framework for indexing human actions in video K Kulkarni, S Cherla, A Kale, V Ramasubramanian The 1st International Workshop on Machine Learning for Vision-based Motion …, 2008 | 9 | 2008 |
| Hybrid Long-and Short-Term Models of Folk Melodies. S Cherla, SN Tran, T Weyde, ASA Garcez ISMIR, 584-590, 2015 | 7 | 2015 |
| Audio analytics by template modeling and 1-pass DP based decoding S Cherla, V Ramasubramanian Eleventh Annual Conference of the International Speech Communication Association, 2010 | 6 | 2010 |
| Multiple Viewpiont Melodic Prediction with Fixed-Context Neural Networks. S Cherla, T Weyde, ASA Garcez ISMIR, 101-106, 2014 | 4 | 2014 |
| The Saxophone by Model and Measurement T Smyth, S Cherla Proceedings of the 9th Sound and Music Computing Conference 6, 2012 | 4 | 2012 |
| Neural ProbabilisticModels for Melody Prediction, Sequence Labelling and Classification S Cherla City, University of London, 2016 | 3 | 2016 |
| Learning distributed representations for multiple-viewpoint melodic prediction S Cherla, T Weyde, A Garcez, M Pearce | 2 | 2013 |
| A neural probabilistic model for predicting melodic sequences S Cherla, AA Garcez, T Weyde International Workshop on Machine Learning and Music, 2013 | 2 | 2013 |
| A method of generating music data G Medeot, S Cherla, K Kosta, M MCViCAR, S Abdallah, M Selvi, ... US Patent App. 16/967,064, 2021 | | 2021 |
| Linear-Time Sequence Classification using Restricted Boltzmann Machines SN Tran, S Cherla, A Garcez, T Weyde arXiv preprint arXiv:1710.02245, 2017 | | 2017 |
