Niranjan Pedanekar
Niranjan Pedanekar
Principal Scientist, TCS Research
Verified email at tcs.com - Homepage
Title
Cited by
Cited by
Year
Wishful thinking-finding suggestions and’buy’wishes from product reviews
J Ramanand, K Bhavsar, N Pedanekar
Proceedings of the NAACL HLT 2010 workshop on computational approaches to …, 2010
1012010
Methods for aligning measured data taken from specific rail track sections of a railroad with the correct geographic location of the sections
NR Pedanckar
US Patent 6,804,621, 2004
582004
Methods for aligning measured data taken from specific rail track sections of a railroad with the correct geographic location of the sections
NR Pedanekar
US Patent 7,130,753, 2006
292006
Mining shapes of expertise in online social Q&A communities
V Kumar, N Pedanekar
Proceedings of the 19th ACM conference on computer supported cooperative …, 2016
152016
Enhanced method and apparatus for deducing a correct rail weight for use in rail wear analysis of worn railroad rails
N Pedanekar, A Jagdale, S Lodha
US Patent App. 10/874,884, 2005
152005
I know what you coded last summer: Mining candidate expertise from github repositories
R Saxena, N Pedanekar
Companion of the 2017 ACM Conference on Computer Supported Cooperative Work …, 2017
122017
Multimodal continuous prediction of emotions in movies using long short-term memory networks
S Sivaprasad, T Joshi, R Agrawal, N Pedanekar
Proceedings of the 2018 ACM on International Conference on Multimedia …, 2018
102018
System and method for providing augmentation based learning content
N Pedanekar, VM Banahatti, SS Karande, V Kumar, AT Doke
US Patent App. 14/477,192, 2015
72015
Cost model for a steel-reheating operation
CP Malhotra, NR Pedanekar, SS Sahay
Industrial heating 69 (3), 67-70, 2002
62002
EmotionX-Area66: predicting emotions in dialogues using hierarchical attention network with sequence labeling
R Saxena, S Bhat, N Pedanekar
Proceedings of the Sixth International Workshop on Natural Language …, 2018
42018
Automatically augmenting learning material with practical questions to increase its relevance
GK Singh, V Kumar, S Bhat, N Pedanekar
2015 IEEE Frontiers in Education Conference (FIE), 1-7, 2015
42015
Assessing the Need of Augmenting Video Lectures with Supporting Information
GK Singh, A Doke, V Kumar, S Bhat, N Pedanekar
International Conference on Learning and Collaboration Technologies, 238-249, 2014
42014
Partners in Crime: Utilizing Arousal-Valence Relationship for Continuous Prediction of Valence in Movies
T Joshi, S Sivaprasad, N Pedanekar
AffCon@ AAAI, 2019
32019
Automatically retrieving explanatory analogies from webpages
V Kumar, S Bhat, N Pedanekar
European Conference on Information Retrieval, 481-486, 2014
32014
PUSTACK: towards an augmented, scalable and personalized interface for paper textbooks
N Gandhi, V Gaikwad, P Kasat, N Garg, A Doke, V Kumar, S Karande, ...
Proceedings of the 11th Asia Pacific Conference on Computer Human …, 2013
32013
Profile-based prediction: an enhanced methodology for prediction of track degradation
NR Pedanekar, B Venkoba Rao, P Kapur, R Harbuck, M Mischke
Proceedings of the AREMA 2003: Annual Railroad Conference, 5-8, 2003
32003
Multimodal Approach to Predicting Media Memorability.
T Joshi, S Sivaprasad, S Bhat, N Pedanekar
MediaEval, 2018
22018
Identifying and characterizing an analogy in a document
N Pedanekar, V Kumar, SS Bhat
US Patent 9,588,965, 2017
22017
Lights, Camera, but No Action: Exploring Affective Audio-Visual Features of Educational Videos
A Doke, N Pedanekar
Proceedings of the 47th ACM Technical Symposium on Computing Science …, 2016
22016
Familiarity breeds understanding Recommending explanatory analogies to learners
V Kumar, S Bhat, N Pedanekar
2014 IEEE International Conference on Teaching, Assessment and Learning for …, 2014
22014
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