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Books and Theses
- 2015
[b1]Prasanth Lade:
Probabilistic Topic Models for Human Emotion Analysis. Arizona State University, Tempe, USA, 2015
Journal Articles
- 2017
- [j1]Prasanth Lade, Rumi Ghosh, Soundar Srinivasan:
Manufacturing Analytics and Industrial Internet of Things. IEEE Intell. Syst. 32(3): 74-79 (2017)
Conference and Workshop Papers
- 2015
- [c11]Hemanth Venkateswara
, Prasanth Lade, Binbin Lin, Jieping Ye, Sethuraman Panchanathan:
Efficient Approximate Solutions to Mutual Information Based Global Feature Selection. ICDM 2015: 1009-1014 - [c10]Prasanth Lade, Hemanth Venkateswara, Sethuraman Panchanathan:
Regularized Supervised Topic Model for Continuous Emotion Analysis. ICMLA 2015: 739-744 - [c9]Subhajit Datta, Prasanth Lade:
Will this be Quick?: A Case Study of Bug Resolution Times across Industrial Projects. ISEC 2015: 20-29 - [c8]Hemanth Venkateswara, Prasanth Lade, Jieping Ye, Sethuraman Panchanathan:
Coupled Support Vector Machines for Supervised Domain Adaptation. ACM Multimedia 2015: 1295-1298 - 2014
- [c7]Prasanth Lade, Troy McDaniel, Sethuraman Panchanathan:
Semantic feature projection for continuous emotion analysis. ACM Multimedia 2014: 881-884 - [c6]Subhajit Datta, Proshanta Sarkar, Sutirtha Das, Sonu Sreshtha, Prasanth Lade, Subhashis Majumder:
How Many Eyeballs Does a Bug Need? An Empirical Validation of Linus' Law. XP 2014: 242-250 - 2013
- [c5]Prasanth Lade, Vineeth Nallure Balasubramanian, Sethuraman Panchanathan:
Latent Facial Topics for affect analysis. ICME Workshops 2013: 1-6 - [c4]Prasanth Lade, Vineeth Nallure Balasubramanian, Hemanth Venkateswara, Sethuraman Panchanathan:
Detection of changes in human affect dimensions using an Adaptive Temporal Topic model. ICME 2013: 1-6 - [c3]Hemanth Venkateswara, Vineeth Nallure Balasubramanian, Prasanth Lade, Sethuraman Panchanathan:
Multiresolution Match Kernels for gesture video classification. ICME Workshops 2013: 1-4 - 2010
- [c2]Narayanan Chatapuram Krishnan, Prasanth Lade, Sethuraman Panchanathan:
Activity gesture spotting using a threshold model based on Adaptive Boosting. ICME 2010: 155-160 - [c1]Prasanth Lade, Narayanan Chatapuram Krishnan, Sethuraman Panchanathan:
Task Prediction in Cooking Activities Using Hierarchical State Space Markov Chain and Object Based Task Grouping. ISM 2010: 284-289
Informal and Other Publications
- 2020
- [i5]Subhro Das, Prasanth Lade, Soundar Srinivasan:
Model adaptation and unsupervised learning with non-stationary batch data under smooth concept drift. CoRR abs/2002.04094 (2020) - 2017
- [i4]Hemanth Venkateswara, Prasanth Lade, Jieping Ye, Sethuraman Panchanathan:
Coupled Support Vector Machines for Supervised Domain Adaptation. CoRR abs/1706.07525 (2017) - [i3]Hemanth Venkateswara, Vineeth N. Balasubramanian, Prasanth Lade, Sethuraman Panchanathan:
Multiresolution Match Kernels for Gesture Video Classification. CoRR abs/1706.07530 (2017) - [i2]Hemanth Venkateswara, Prasanth Lade, Binbin Lin, Jieping Ye, Sethuraman Panchanathan:
Efficient Approximate Solutions to Mutual Information Based Global Feature Selection. CoRR abs/1706.07535 (2017) - 2016
- [i1]Katerina Marazopoulou, Rumi Ghosh, Prasanth Lade, David D. Jensen:
Causal Discovery for Manufacturing Domains. CoRR abs/1605.04056 (2016)
Coauthor Index
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