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ORCIDVikas C. Raykar
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2020 – today
- 2023
[i10]Vikas C. Raykar, Arindam Jati, Sumanta Mukherjee, Nupur Aggarwal, Kanthi K. Sarpatwar, Giridhar Ganapavarapu, Roman Vaculín:
TsSHAP: Robust model agnostic feature-based explainability for time series forecasting. CoRR abs/2303.12316 (2023)- 2021
- [c34]Shravan Sajja, Nupur Aggarwal, Sumanta Mukherjee, Kushagra Manglik, Satyam Dwivedi, Vikas Raykar:
Explainable AI based Interventions for Pre-season Decision Making in Fashion Retail. COMAD/CODS 2021: 281-289 - 2020
- [c33]Vijay Ekambaram, Kushagra Manglik, Sumanta Mukherjee, Surya Shravan Kumar Sajja, Satyam Dwivedi, Vikas Raykar:
Attention based Multi-Modal New Product Sales Time-series Forecasting. KDD 2020: 3110-3118 - [i9]Nupur Aggarwal, Abhishek Bansal, Kushagra Manglik, Kedar Kulkarni, Vikas Raykar:
Hyper-local sustainable assortment planning. CoRR abs/2007.13414 (2020) - [i8]Shravan Sajja, Nupur Aggarwal, Sumanta Mukherjee, Kushagra Manglik, Satyam Dwivedi, Vikas Raykar:
Explainable AI based Interventions for Pre-season Decision Making in Fashion Retail. CoRR abs/2008.07376 (2020)
2010 – 2019
- 2019
- [c32]Indrani Bhattacharya
, Arkabandhu Chowdhury, Vikas C. Raykar:
Multimodal Dialog for Browsing Large Visual Catalogs using Exploration-Exploitation Paradigm in a Joint Embedding Space. ICMR 2019: 187-191 - [i7]Indrani Bhattacharya, Arkabandhu Chowdhury, Vikas C. Raykar:
Multi-modal dialog for browsing large visual catalogs using exploration-exploitation paradigm in a joint embedding space. CoRR abs/1901.09854 (2019) - 2018
- [c31]Sachin Mehta, Amar P. Azad, Saneem A. Chemmengath, Vikas Raykar, Shivkumar Kalyanaraman:
DeepSolarEye: Power Loss Prediction and Weakly Supervised Soiling Localization via Fully Convolutional Networks for Solar Panels. WACV 2018: 333-342 - [c30]Amrita Saha, Megha Nawhal, Mitesh M. Khapra, Vikas C. Raykar:
Learning Disentangled Multimodal Representations for the Fashion Domain. WACV 2018: 557-566 - [i6]Ayushi Dalmia, Sachindra Joshi, Raghavendra Singh, Vikas Raykar:
Styling with Attention to Details. CoRR abs/1807.01182 (2018) - 2017
- [c29]Eyal Shnarch, Ran Levy, Vikas C. Raykar, Noam Slonim:
GRASP: Rich Patterns for Argumentation Mining. EMNLP 2017: 1345-1350 - [c28]Vardaan Pahuja, Anirban Laha, Shachar Mirkin, Vikas C. Raykar, Lili Kotlerman, Guy Lev:
Joint Learning of Correlated Sequence Labeling Tasks Using Bidirectional Recurrent Neural Networks. INTERSPEECH 2017: 548-552 - [i5]Vardaan Pahuja, Anirban Laha, Shachar Mirkin, Vikas C. Raykar, Lili Kotlerman, Guy Lev:
Joint Learning of Correlated Sequence Labelling Tasks Using Bidirectional Recurrent Neural Networks. CoRR abs/1703.04650 (2017) - [i4]Sachin Mehta, Amar P. Azad, Saneem A. Chemmengath, Vikas Raykar, Shivkumar Kalyanaraman:
DeepSolarEye: Power Loss Prediction and Weakly Supervised Soiling Localization via Fully Convolutional Networks for Solar Panels. CoRR abs/1710.03811 (2017) - 2016
- [c27]Anirban Laha, Vikas C. Raykar:
An Empirical Evaluation of various Deep Learning Architectures for Bi-Sequence Classification Tasks. COLING 2016: 2762-2773 - [i3]Anirban Laha, Vikas C. Raykar:
An Empirical Evaluation of various Deep Learning Architectures for Bi-Sequence Classification Tasks. CoRR abs/1607.04853 (2016) - 2015
- [c26]Vikas C. Raykar, Amrita Saha:
Data Split Strategiesfor Evolving Predictive Models. ECML/PKDD (1) 2015: 3-19 - [i2]Amrita Saha, Sathish Indurthi, Shantanu Godbole, Subendhu Rongali, Vikas C. Raykar:
Taxonomy grounded aggregation of classifiers with different label sets. CoRR abs/1512.00355 (2015) - 2014
- [c25]Vikas C. Raykar, Priyanka Agrawal:
Sequential crowdsourced labeling as an epsilon-greedy exploration in a Markov Decision Process. AISTATS 2014: 832-840 - [c24]Noam Slonim, Ehud Aharoni, Carlos Alzate, Roy Bar-Haim, Yonatan Bilu, Lena Dankin, Iris Eiron, Daniel Hershcovich, Shay Hummel, Mitesh M. Khapra, Tamar Lavee, Ran Levy, Paul Matchen, Anatoly Polnarov, Vikas C. Raykar, Ruty Rinott, Amrita Saha, Naama Zwerdling, David Konopnicki, Dan Gutfreund:
Claims on demand - an initial demonstration of a system for automatic detection and polarity identification of context dependent claims in massive corpora. COLING (Demos) 2014: 6-9 - [c23]A. P. Sarath Chandar, Stanislas Lauly, Hugo Larochelle, Mitesh M. Khapra, Balaraman Ravindran, Vikas C. Raykar, Amrita Saha:
An Autoencoder Approach to Learning Bilingual Word Representations. NIPS 2014: 1853-1861 - [c22]Priyanka Agrawal, Vikas C. Raykar, Amrita Saha:
AUC dominant unsupervised ensemble of binary classifiers. SDM 2014: 271-279 - [i1]A. P. Sarath Chandar, Stanislas Lauly, Hugo Larochelle, Mitesh M. Khapra, Balaraman Ravindran, Vikas C. Raykar, Amrita Saha:
An Autoencoder Approach to Learning Bilingual Word Representations. CoRR abs/1402.1454 (2014) - 2012
- [j7]Vikas C. Raykar, Shipeng Yu:
Eliminating Spammers and Ranking Annotators for Crowdsourced Labeling Tasks. J. Mach. Learn. Res. 13: 491-518 (2012) - [j6]Xiang Sean Zhou, Yiqiang Zhan, Vikas C. Raykar, Gerardo Hermosillo Valadez, Luca Bogoni, Zhigang Peng:
Mining anatomical, physiological and pathological information from medical images. SIGKDD Explor. 14(1): 25-34 (2012) - [c21]Gerardo Hermosillo Valadez, Vikas C. Raykar, Xiang Zhou:
Learning to Locate Cortical Bone in MRI. MLMI 2012: 168-175 - 2011
- [j5]Murat Dundar, Sunil Badve, Gökhan Bilgin, Vikas C. Raykar, Rohit K. Jain, Olcay Sertel, Metin N. Gurcan:
Computerized Classification of Intraductal Breast Lesions Using Histopathological Images. IEEE Trans. Biomed. Eng. 58(7): 1977-1984 (2011) - [c20]Meizhu Liu, Le Lu, Jinbo Bi, Vikas C. Raykar, Matthias Wolf, Marcos Salganicoff:
Robust Large Scale Prone-Supine Polyp Matching Using Local Features: A Metric Learning Approach. MICCAI (3) 2011: 75-82 - [c19]Vikas C. Raykar, Shipeng Yu:
Ranking annotators for crowdsourced labeling tasks. NIPS 2011: 1809-1817 - 2010
- [j4]Vikas C. Raykar, Shipeng Yu, Linda H. Zhao, Gerardo Hermosillo Valadez, Charles Florin, Luca Bogoni, Linda Moy:
Learning From Crowds. J. Mach. Learn. Res. 11: 1297-1322 (2010) - [c18]Murat Dundar, Sunil Badve, Vikas C. Raykar, Rohit K. Jain, Olcay Sertel, Metin N. Gurcan:
A Multiple Instance Learning Approach toward Optimal Classification of Pathology Slides. ICPR 2010: 2732-2735 - [c17]Vikas C. Raykar, Balaji Krishnapuram, Shipeng Yu:
Designing efficient cascaded classifiers: tradeoff between accuracy and cost. KDD 2010: 853-860 - [c16]Vikas C. Raykar, Linda H. Zhao:
Nonparametric prior for adaptive sparsity. AISTATS 2010: 629-636 - [p1]Luca Bogoni, Jinbo Bi, Charles Florin, Anna K. Jerebko, Arun Krishnan, Sangmin Park, Vikas C. Raykar, Marcos Salganicoff:
Lung Nodule Detection. ImageCLEF 2010: 415-434
2000 – 2009
- 2009
- [c15]Vikas C. Raykar, Shipeng Yu, Linda H. Zhao, Anna K. Jerebko, Charles Florin, Gerardo Hermosillo Valadez, Luca Bogoni, Linda Moy:
Supervised learning from multiple experts: whom to trust when everyone lies a bit. ICML 2009: 889-896 - 2008
- [j3]Vikas C. Raykar, Ramani Duraiswami, Balaji Krishnapuram:
A Fast Algorithm for Learning a Ranking Function from Large-Scale Data Sets. IEEE Trans. Pattern Anal. Mach. Intell. 30(7): 1158-1170 (2008) - [c14]Murat Dundar, Matthias Wolf, Sarang Lakare, Marcos Salganicoff, Vikas C. Raykar:
Polyhedral classifier for target detection: a case study: colorectal cancer. ICML 2008: 288-295 - [c13]Vikas C. Raykar, Balaji Krishnapuram, Jinbo Bi, Murat Dundar, R. Bharat Rao:
Bayesian multiple instance learning: automatic feature selection and inductive transfer. ICML 2008: 808-815 - [c12]Balaji Krishnapuram, Jonathan Stoeckel, Vikas C. Raykar, R. Bharat Rao, Philippe Bamberger, Eli Ratner, Nicolas Merlet, Inna Stainvas, Menahem Abramov, Alexandra Manevitch:
Multiple-Instance Learning Improves CAD Detection of Masses in Digital Mammography. Digital Mammography / IWDM 2008: 350-357 - [c11]Vlad I. Morariu, Balaji Vasan Srinivasan, Vikas C. Raykar, Ramani Duraiswami, Larry S. Davis:
Automatic online tuning for fast Gaussian summation. NIPS 2008: 1113-1120 - 2007
- [b1]Vikas Chandrakant Raykar:
Scalable machine learning for massive datasets: Fast summation algorithms. University of Maryland, College Park, MD, USA, 2007 - [c10]Dmitry N. Zotkin, Vikas C. Raykar, Ramani Duraiswami, Larry S. Davis:
Multimodal Tracking for Smart Videoconferencing and Video Surveillance. CVPR 2007 - [c9]Vikas C. Raykar, Harald Steck, Balaji Krishnapuram, Cary Dehing-Oberije, Philippe Lambin:
On Ranking in Survival Analysis: Bounds on the Concordance Index. NIPS 2007: 1209-1216 - [c8]Vikas C. Raykar, Ramani Duraiswami, Balaji Krishnapuram:
A fast algorithm for learning large scale preference relations. AISTATS 2007: 388-395 - 2006
- [c7]Vikas C. Raykar, Ramani Duraiswami:
Fast optimal bandwidth selection for kernel density estimation. SDM 2006: 524-528 - 2005
- [j2]Vikas C. Raykar, Igor Kozintsev, Rainer Lienhart:
Position calibration of microphones and loudspeakers in distributed computing platforms. IEEE Trans. Speech Audio Process. 13(1): 70-83 (2005) - [j1]Vikas C. Raykar, B. Yegnanarayana, S. R. Mahadeva Prasanna, Ramani Duraiswami:
Speaker Localization Using Excitation Source Information in Speech. IEEE Trans. Speech Audio Process. 13(5-2): 751-761 (2005) - [c6]Vikas C. Raykar, Ramani Duraiswami:
Approximate expressions for the mean and the covariance of the maximum likelihood estimator for acoustic source localization. ICASSP (3) 2005: 73-76 - [c5]Ramani Duraiswami, Vikas C. Raykar:
The manifolds of spatial hearing. ICASSP (3) 2005: 285-288 - 2004
- [c4]Vikas C. Raykar, Ramani Duraiswami:
Automatic position calibration of multiple microphones. ICASSP (4) 2004: 69-72 - 2003
- [c3]Vikas C. Raykar, Ramani Duraiswami, B. Yegnanarayana, S. R. Mahadeva Prasanna:
Tracking a moving speaker using excitation source information. INTERSPEECH 2003: 69-72 - [c2]Vikas C. Raykar, Igor Kozintsev, Rainer Lienhart:
Position calibration of audio sensors and actuators in a distributed computing platform. ACM Multimedia 2003: 572-581 - 2002
- [c1]Dmitry N. Zotkin, Ramani Duraiswami, Larry S. Davis, Ankur Mohan, Vikas C. Raykar:
Virtual Audio System Customization Using Visual Matching of Ear Parameters. ICPR (3) 2002: 1003-1006
Coauthor Index
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