| Conformal prediction for reliable machine learning: theory, adaptations and applications V Balasubramanian, SS Ho, V Vovk Newnes, 2014 | 95 | 2014 |
| Manufacturing analytics and industrial internet of things P Lade, R Ghosh, S Srinivasan IEEE Intelligent Systems 32 (3), 74-79, 2017 | 81 | 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 | 61 | 2007 |
| Elastic Matching of Online Handwritten Tamil and Telugu Scripts Using Local Features L Prasanth, J Babu, R Sharma R, PGV Rao, D M | 46 | 2007 |
| 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 | 22 | 2010 |
| 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 | 9 | 2015 |
| 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 |
| 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 | 7 | 2013 |
| 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 International Conference on Agile Software Development, 242-250, 2014 | 6 | 2014 |
| 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 | 6 | 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 | 5 | 2015 |
| 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 | 3 | 2015 |
| 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 |
| 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 | 2 | 2020 |
| Causal Discovery for Manufacturing Domains K Marazopoulou, R Ghosh, P Lade, D Jensen arXiv preprint arXiv:1605.04056, 2016 | 2 | 2016 |
| Probabilistic Topic Models for Human Emotion Analysis P Lade, VN Balasubramanian, S Panchanathan | 2* | |
| Model adaption and online learning for unstable environments S Das, P Lade, S Srinivasan, R Ghosh US Patent App. 15/346,707, 2017 | 1 | 2017 |
| 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 |
| Digital image display stand, digital image display system, and use method of digital image display stand N Horiuchi, M Sakano, S Sugie, M Izawa, K Nakamura, K Mito US Patent App. 10/430,269, 2003 | 1 | 2003 |
| 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 | | 2019 |
Sethuraman PanchanathanProfessor of Computer Science and Engineering, Arizona State UniversityVerified email at asu.edu
