Jajati Keshari Sahoo

According to our database1, Jajati Keshari Sahoo authored at least 20 papers between 2012 and 2021.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.



In proceedings 
PhD thesis 


On csauthors.net:


Simulation of Varying Parameter Recurrent Neural Network with application to matrix inversion.
Math. Comput. Simul., 2021

One-sided weighted outer inverses of tensors.
J. Comput. Appl. Math., 2021

A novel approach for ranking web documents based on query-optimized personalized pagerank.
Int. J. Data Sci. Anal., 2021

Study the Significance of ML-ELM Using Combined PageRank and Content-Based Feature Selection.
Proceedings of the Distributed Computing and Internet Technology, 2021

Further results on the Drazin inverse of even-order tensors.
Numer. Linear Algebra Appl., 2020

Three-step alternating iterations for index 1 and non-singular matrices.
Numer. Algorithms, 2020

Characterizations of weighted (b, c) inverse.
CoRR, 2020

Further results on weighted core-EP inverse of matrices.
CoRR, 2020

Forecasting directional movements of stock prices for intraday trading using LSTM and random forests.
CoRR, 2020

Regularized Iterative Method for Ill-posed Linear Systems Based on Matrix Splitting.
CoRR, 2020

Characterization and Representation of Weighted Core Inverse of Matrices.
CoRR, 2020

Reverse-order law for core inverse of tensors.
CoRR, 2019

Convolutional Feature Extraction and Neural Arithmetic Logic Units for Stock Prediction.
CoRR, 2019

Abstractive Text Summarization Using Enhanced Attention Model.
Proceedings of the Intelligent Human Computer Interaction - 11th International Conference, 2019

Authorship Identification using Recurrent Neural Networks.
Proceedings of the 3rd International Conference on Information System and Data Mining, 2019

A New Automatic Multi-document Text Summarization using Topic Modeling.
Proceedings of the Distributed Computing and Internet Technology, 2019

Deep Learning in the Domain of Multi-Document Text Summarization.
Proceedings of the Pattern Recognition and Machine Intelligence, 2017

Modeling temporal dependencies in data using a DBN-LSTM.
Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics, 2015

Polyphonic Music Generation by Modeling Temporal Dependencies Using a RNN-DBN.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2014, 2014

A novel architecture for secure communications in mobile systems.
Proceedings of the 7th International Conference for Internet Technology and Secured Transactions, 2012