no code implementations • 1 Jun 2020 • Satanik Mitra, Mamata Jenamani
In this work we propose HIDE a Hybrid Improved Document level Embedding which incorporates domain information, parts of speech information and sentiment information into existing word embeddings such as GloVe and Word2Vec.
no code implementations • 8 Apr 2020 • Suman Banerjee, Mamata Jenamani, Dilip Kumar Pratihar
In this paper, we study this problem with a variation, where a set of nodes are designated as target nodes, each of them is assigned with a benefit value, that can be earned by influencing them, and our goal is to maximize the earned benefit by initially activating a set of nodes within the budget.
Social and Information Networks Data Structures and Algorithms Multiagent Systems
no code implementations • 16 Aug 2018 • Suman Banerjee, Mamata Jenamani, Dilip Kumar Pratihar
Given a social network with diffusion probabilities as edge weights and an integer k, which k nodes should be chosen for initial injection of information to maximize influence in the network?
Social and Information Networks
no code implementations • 2 Dec 2016 • Soumi Chaki, Aurobinda Routray, William K. Mohanty, Mamata Jenamani
Therefore, in case of a multiclass problem, the problem is divided into a series of binary problems which are solved by binary classifiers, and finally the classification results are combined following either the one-against-one or one-against-all strategies.
no code implementations • 2 Dec 2016 • Soumi Chaki, Aurobinda Routray, William K. Mohanty, Mamata Jenamani
The classification results have been further fine-tuned applying expert knowledge based on the relationship among predictor variables i. e. well logs and target variable - oil saturation.
no code implementations • 2 Dec 2016 • Soumi Chaki, Akhilesh Kumar Verma, Aurobinda Routray, William K. Mohanty, Mamata Jenamani
Thus, satisfactory classification of water saturation from seismic attributes is beneficial for reservoir characterization.
no code implementations • 2 Dec 2016 • Soumi Chaki, Akhilesh Kumar Verma, Aurobinda Routray, William K. Mohanty, Mamata Jenamani
Evaluation of hydrocarbon reservoir requires classification of petrophysical properties from available dataset.
no code implementations • 23 Sep 2015 • Akhilesh K Verma, Soumi Chaki, Aurobinda Routray, William K. Mohanty, Mamata Jenamani
Though seismic data is helpful in extrapolation of reservoir properties away from boreholes; yet, it could be challenging to delineate thin sand and shale reservoirs using seismic data due to its limited resolvability.
no code implementations • 23 Sep 2015 • Soumi Chaki, Akhilesh K Verma, Aurobinda Routray, William K. Mohanty, Mamata Jenamani
The data set used in this study comprising three seismic attributes and well log data from eight wells, is acquired from a western onshore hydrocarbon field of India.