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of 84
pro vyhledávání: '"Raykar, Vikas"'
Autor:
Raykar, Vikas C., Jati, Arindam, Mukherjee, Sumanta, Aggarwal, Nupur, Sarpatwar, Kanthi, Ganapavarapu, Giridhar, Vaculin, Roman
A trustworthy machine learning model should be accurate as well as explainable. Understanding why a model makes a certain decision defines the notion of explainability. While various flavors of explainability have been well-studied in supervised lear
Externí odkaz:
http://arxiv.org/abs/2303.12316
Autor:
Sajja, Shravan, Aggarwal, Nupur, Mukherjee, Sumanta, Manglik, Kushagra, Dwivedi, Satyam, Raykar, Vikas
Future of sustainable fashion lies in adoption of AI for a better understanding of consumer shopping behaviour and using this understanding to further optimize product design, development and sourcing to finally reduce the probability of overproducin
Externí odkaz:
http://arxiv.org/abs/2008.07376
Assortment planning, an important seasonal activity for any retailer, involves choosing the right subset of products to stock in each store.While existing approaches only maximize the expected revenue, we propose including the environmental impact to
Externí odkaz:
http://arxiv.org/abs/2007.13414
We present a multi-modal dialog system to assist online shoppers in visually browsing through large catalogs. Visual browsing is different from visual search in that it allows the user to explore the wide range of products in a catalog, beyond the ex
Externí odkaz:
http://arxiv.org/abs/1901.09854
Fashion as characterized by its nature, is driven by style. In this paper, we propose a method that takes into account the style information to complete a given set of selected fashion items with a complementary fashion item. Complementary items are
Externí odkaz:
http://arxiv.org/abs/1807.01182
The impact of soiling on solar panels is an important and well-studied problem in renewable energy sector. In this paper, we present the first convolutional neural network (CNN) based approach for solar panel soiling and defect analysis. Our approach
Externí odkaz:
http://arxiv.org/abs/1710.03811
The stream of words produced by Automatic Speech Recognition (ASR) systems is typically devoid of punctuations and formatting. Most natural language processing applications expect segmented and well-formatted texts as input, which is not available in
Externí odkaz:
http://arxiv.org/abs/1703.04650
Autor:
Laha, Anirban, Raykar, Vikas
Several tasks in argumentation mining and debating, question-answering, and natural language inference involve classifying a sequence in the context of another sequence (referred as bi-sequence classification). For several single sequence classificat
Externí odkaz:
http://arxiv.org/abs/1607.04853
We describe the problem of aggregating the label predictions of diverse classifiers using a class taxonomy. Such a taxonomy may not have been available or referenced when the individual classifiers were designed and trained, yet mapping the output la
Externí odkaz:
http://arxiv.org/abs/1512.00355
Autor:
Raykar, Vikas Chandrakant.
Thesis (Ph. D.) -- University of Maryland, College Park, 2007.
Thesis research directed by: Computer Science. Title from t.p. of PDF. Includes bibliographical references. Published by UMI Dissertation Services, Ann Arbor, Mich. Also available in
Thesis research directed by: Computer Science. Title from t.p. of PDF. Includes bibliographical references. Published by UMI Dissertation Services, Ann Arbor, Mich. Also available in
Externí odkaz:
http://hdl.handle.net/1903/6797