| Manufacturing analytics and industrial internet of things P Lade, R Ghosh, S Srinivasan IEEE Intelligent Systems 32 (3), 74-79, 2017 | 300 | 2017 |
| HMM-based online handwriting recognition system for Telugu symbols V Babu, L Prasanth, R Sharma, GV Rao, A Bharath Ninth International Conference on Document Analysis and Recognition (ICDAR …, 2007 | 71 | 2007 |
| Elastic Matching of Online Handwritten Tamil and Telugu Scripts Using Local Features L Prasanth, J Babu, R Sharma R, PGV Rao, D M | 61 | 2007 |
| Causal discovery for manufacturing domains K Marazopoulou, R Ghosh, P Lade, D Jensen arXiv preprint arXiv:1605.04056, 2016 | 31 | 2016 |
| Activity gesture spotting using a threshold model based on adaptive boosting NC Krishnan, P Lade, S Panchanathan 2010 IEEE International Conference on Multimedia and Expo, 155-160, 2010 | 31 | 2010 |
| Efficient approximate solutions to mutual information based global feature selection H Venkateswara, P Lade, B Lin, J Ye, S Panchanathan 2015 IEEE International Conference on Data Mining, 1009-1014, 2015 | 18 | 2015 |
| Model adaptation and online learning for unstable environments S Das, P Lade, S Srinivasan, R Ghosh US Patent 11,144,842, 2021 | 14 | 2021 |
| How Many Eyeballs Does a Bug Need? An Empirical Validation of Linus’ Law S Datta, P Sarkar, S Das, S Sreshtha, P Lade, S Majumder Agile Processes in Software Engineering and Extreme Programming: 15th …, 2014 | 13 | 2014 |
| Coupled support vector machines for supervised domain adaptation H Venkateswara, P Lade, J Ye, S Panchanathan Proceedings of the 23rd ACM international conference on Multimedia, 1295-1298, 2015 | 12 | 2015 |
| Methods and systems for root cause analysis for assembly lines using path tracking JK Thompson, M Frankmann, GT Cinar, CE Cunha, P Lade US Patent 10,430,269, 2019 | 8 | 2019 |
| Detection of changes in human affect dimensions using an Adaptive Temporal Topic model P Lade, VN Balasubramanian, H Venkateswara, S Panchanathan 2013 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2013 | 8 | 2013 |
| Multiresolution Match Kernels for gesture video classification H Venkateswara, VN Balasubramanian, P Lade, S Panchanathan 2013 IEEE International Conference on Multimedia and Expo Workshops (ICMEW), 1-4, 2013 | 7 | 2013 |
| Task prediction in cooking activities using hierarchical state space markov chain and object based task grouping P Lade, NC Krishnan, S Panchanathan 2010 IEEE International Symposium on Multimedia, 284-289, 2010 | 7 | 2010 |
| Will this be Quick? A Case Study of Bug Resolution Times across Industrial Projects S Datta, P Lade Proceedings of the 8th India Software Engineering Conference, 20-29, 2015 | 6 | 2015 |
| Model adaptation and unsupervised learning with non-stationary batch data under smooth concept drift S Das, P Lade, S Srinivasan arXiv preprint arXiv:2002.04094, 2020 | 4 | 2020 |
| Latent facial topics for affect analysis P Lade, VN Balasubramanian, S Panchanathan 2013 IEEE International Conference on Multimedia and Expo Workshops (ICMEW), 1-6, 2013 | 3 | 2013 |
| Probabilistic Topic Models for Human Emotion Analysis P Lade, VN Balasubramanian, S Panchanathan | 3* | |
| Regularized supervised topic model for continuous emotion analysis P Lade, H Venkateswara, S Panchanathan 2015 IEEE 14th International Conference on Machine Learning and Applications …, 2015 | 1 | 2015 |
| Other Adaptations VN Balasubramanian, P Lade, HD Venkateswara, E Smirnov, ... Conformal Prediction for Reliable Machine Learning: Theory, Adaptations and …, 2014 | 1 | 2014 |
| Semantic feature projection for continuous emotion analysis P Lade, T McDaniel, S Panchanathan Proceedings of the 22nd ACM international conference on Multimedia, 881-884, 2014 | | 2014 |
Sethuraman PanchanathanProfessor of Computer Science and Engineering, Arizona State UniversityVerified email at asu.edu