Vikas C. Raykar

According to our database1, Vikas C. Raykar authored at least 49 papers between 2002 and 2023.

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Bibliography

2023
TsSHAP: Robust model agnostic feature-based explainability for time series forecasting.
CoRR, 2023

2021
Explainable AI based Interventions for Pre-season Decision Making in Fashion Retail.
Proceedings of the CODS-COMAD 2021: 8th ACM IKDD CODS and 26th COMAD, 2021

2020
Hyper-local sustainable assortment planning.
CoRR, 2020

Attention based Multi-Modal New Product Sales Time-series Forecasting.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

2019
Multi-modal dialog for browsing large visual catalogs using exploration-exploitation paradigm in a joint embedding space.
CoRR, 2019

Multimodal Dialog for Browsing Large Visual Catalogs using Exploration-Exploitation Paradigm in a Joint Embedding Space.
Proceedings of the 2019 on International Conference on Multimedia Retrieval, 2019

2018
Styling with Attention to Details.
CoRR, 2018

Learning Disentangled Multimodal Representations for the Fashion Domain.
Proceedings of the 2018 IEEE Winter Conference on Applications of Computer Vision, 2018

DeepSolarEye: Power Loss Prediction and Weakly Supervised Soiling Localization via Fully Convolutional Networks for Solar Panels.
Proceedings of the 2018 IEEE Winter Conference on Applications of Computer Vision, 2018

2017
Joint Learning of Correlated Sequence Labelling Tasks Using Bidirectional Recurrent Neural Networks.
CoRR, 2017

Joint Learning of Correlated Sequence Labeling Tasks Using Bidirectional Recurrent Neural Networks.
Proceedings of the 18th Annual Conference of the International Speech Communication Association, 2017

GRASP: Rich Patterns for Argumentation Mining.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

2016
An Empirical Evaluation of various Deep Learning Architectures for Bi-Sequence Classification Tasks.
Proceedings of the COLING 2016, 2016

2015
Taxonomy grounded aggregation of classifiers with different label sets.
CoRR, 2015

Data Split Strategiesfor Evolving Predictive Models.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

2014
AUC dominant unsupervised ensemble of binary classifiers.
Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

An Autoencoder Approach to Learning Bilingual Word Representations.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Claims on demand - an initial demonstration of a system for automatic detection and polarity identification of context dependent claims in massive corpora.
Proceedings of the COLING 2014, 2014

Sequential crowdsourced labeling as an epsilon-greedy exploration in a Markov Decision Process.
Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014

2012
Mining anatomical, physiological and pathological information from medical images.
SIGKDD Explor., 2012

Eliminating Spammers and Ranking Annotators for Crowdsourced Labeling Tasks.
J. Mach. Learn. Res., 2012

Learning to Locate Cortical Bone in MRI.
Proceedings of the Machine Learning in Medical Imaging - Third International Workshop, 2012

2011
Computerized Classification of Intraductal Breast Lesions Using Histopathological Images.
IEEE Trans. Biomed. Eng., 2011

Ranking annotators for crowdsourced labeling tasks.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Robust Large Scale Prone-Supine Polyp Matching Using Local Features: A Metric Learning Approach.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011

2010
Nonparametric prior for adaptive sparsity.
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

Learning From Crowds.
J. Mach. Learn. Res., 2010

Designing efficient cascaded classifiers: tradeoff between accuracy and cost.
Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

A Multiple Instance Learning Approach toward Optimal Classification of Pathology Slides.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

Lung Nodule Detection.
Proceedings of the ImageCLEF, Experimental Evaluation in Visual Information Retrieval, 2010

2009
Supervised learning from multiple experts: whom to trust when everyone lies a bit.
Proceedings of the 26th Annual International Conference on Machine Learning, 2009

2008
A Fast Algorithm for Learning a Ranking Function from Large-Scale Data Sets.
IEEE Trans. Pattern Anal. Mach. Intell., 2008

Automatic online tuning for fast Gaussian summation.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Multiple-Instance Learning Improves CAD Detection of Masses in Digital Mammography.
Proceedings of the Digital Mammography, 2008

Bayesian multiple instance learning: automatic feature selection and inductive transfer.
Proceedings of the Machine Learning, 2008

Polyhedral classifier for target detection: a case study: colorectal cancer.
Proceedings of the Machine Learning, 2008

2007
Scalable machine learning for massive datasets: Fast summation algorithms.
PhD thesis, 2007

A fast algorithm for learning large scale preference relations.
Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, 2007

On Ranking in Survival Analysis: Bounds on the Concordance Index.
Proceedings of the Advances in Neural Information Processing Systems 20, 2007

Multimodal Tracking for Smart Videoconferencing and Video Surveillance.
Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007

2006
Fast optimal bandwidth selection for kernel density estimation.
Proceedings of the Sixth SIAM International Conference on Data Mining, 2006

2005
Speaker Localization Using Excitation Source Information in Speech.
IEEE Trans. Speech Audio Process., 2005

Position calibration of microphones and loudspeakers in distributed computing platforms.
IEEE Trans. Speech Audio Process., 2005

Approximate expressions for the mean and the covariance of the maximum likelihood estimator for acoustic source localization.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

The manifolds of spatial hearing.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

2004
Automatic position calibration of multiple microphones.
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

2003
Position calibration of audio sensors and actuators in a distributed computing platform.
Proceedings of the Eleventh ACM International Conference on Multimedia, 2003

Tracking a moving speaker using excitation source information.
Proceedings of the 8th European Conference on Speech Communication and Technology, EUROSPEECH 2003, 2003

2002
Virtual Audio System Customization Using Visual Matching of Ear Parameters.
Proceedings of the 16th International Conference on Pattern Recognition, 2002


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