Shailesh Tripathi

According to our database, Shailesh Tripathi authored at least 36 papers between 2006 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2024

Human Team Behavior and Predictability in the Massively Multiplayer Online Game WOT Blitz.

Frank Emmert-Streib, Shailesh Tripathi, Matthias Dehmer

ACM Trans. Web, February, 2024

Due date quoting and rescheduling in a fixed production sequence.

Herbert Jodlbauer, Shailesh Tripathi

Int. J. Prod. Res., February, 2024

2023

Analytical comparison of cross impact steady state, DEMATEL, and page rank for analyzing complex systems.

Herbert Jodlbauer, Shailesh Tripathi

Expert Syst. Appl., September, 2023

Analyzing the Scholarly Literature of Digital Twin Research: Trends, Topics and Structure.

Frank Emmert-Streib, Shailesh Tripathi, Matthias Dehmer

IEEE Access, 2023

Exploring the time-lagged causality of process variables from injection molding machines.

Shailesh Tripathi, Christian Mittermayr, Herbert Jodlbauer

Proceedings of the 4th International Conference on Industry 4.0 and Smart Manufacturing (ISM 2023), 2023

Implementing Virtuality in Production - a Design Science Approach.

Manuel Brunner, Herbert Jodlbauer, Nadine Bachmann, Shailesh Tripathi

Proceedings of the 4th International Conference on Industry 4.0 and Smart Manufacturing (ISM 2023), 2023

2022

The usefulness of topological indices.

Yuede Ma, Matthias Dehmer, Urs-Martin Künzi, Shailesh Tripathi, Modjtaba Ghorbani, Jin Tao, Frank Emmert-Streib

Inf. Sci., 2022

A data-centric review of deep transfer learning with applications to text data.

Samar Bashath, Nadeesha Perera, Shailesh Tripathi, Kalifa Manjang, Matthias Dehmer, Frank Emmert-Streib

Inf. Sci., 2022

A Survey on Cross-Virtuality Analytics.

Bernhard Fröhler, Christoph Anthes, Fabian Pointecker, Judith Friedl, Daniel Schwajda, Andreas Riegler, Shailesh Tripathi, Clemens Holzmann, Manuel Brunner, Herbert Jodlbauer, Hans-Christian Jetter, Christoph Heinzl

Comput. Graph. Forum, 2022

Vsimgen: A Proposal for an Interactive Visualization Tool for Simulation of Production Planning and Control Strategies.

Shailesh Tripathi, Andreas Riegler, Christoph Anthes, Herbert Jodlbauer

Proceedings of the Future Technologies Conference, 2022

Analyzing Cross-impact Matrices for Managerial Decision-making Problems with the DEMATEL Approach.

Shailesh Tripathi, Nadine Bachmann, Manuel Brunner, Herbert Jodlbauer

Proceedings of the 11th International Conference on Data Science, 2022

2021

Relationships between symmetry-based graph measures.

Yuede Ma, Matthias Dehmer, Urs-Martin Künzi, Abbe Mowshowitz, Shailesh Tripathi, Modjtaba Ghorbani, Frank Emmert-Streib

Inf. Sci., 2021

Ensuring the Robustness and Reliability of Data-Driven Knowledge Discovery Models in Production and Manufacturing.

Shailesh Tripathi, David Muhr, Manuel Brunner, Herbert Jodlbauer, Matthias Dehmer, Frank Emmert-Streib

Frontiers Artif. Intell., 2021

Identifying key interactions between process variables of different material categories using mutual information-based network inference method.

Shailesh Tripathi, Herbert Jodlbauer, Christian Mittermayr, Frank Emmert-Streib

Proceedings of the 3rd International Conference on Industry 4.0 and Smart Manufacturing (ISM 2022), Virtual Event / Upper Austria University of Applied Sciences - Hagenberg Campus, 2021

A Network based Approach for Reducing Variant Diversity in Production Planning and Control.

Shailesh Tripathi, Sonja Strasser, Herbert Jodlbauer

Proceedings of the 10th International Conference on Data Science, 2021

2020

An Introductory Review of Deep Learning for Prediction Models With Big Data.

Frank Emmert-Streib, Zhen Yang, Han Feng, Shailesh Tripathi, Matthias Dehmer

Frontiers Artif. Intell., 2020

Cross-Virtuality Visualization, Interaction and Collaboration.

Andreas Riegler, Christoph Anthes, Hans-Christian Jetter, Christoph Heinzl, Clemens Holzmann, Herbert Jodlbauer, Manuel Brunner, Stefan Auer, Judith Friedl, Bernhard Fröhler, Christina Leitner, Fabian Pointecker, Daniel Schwajda, Shailesh Tripathi

Proceedings of the International Workshop on Cross-Reality (XR) Interaction co-located with 14th ACM International Conference on Interactive Surfaces and Spaces (ACM ISS 2020), 2020

Large scale predictability analysis of process variables from injection molding machines.

Shailesh Tripathi, Christian Mittermayr, David Muhr, Herbert Jodlbauer

Proceedings of the 2nd International Conference on Industry 4.0 and Smart Manufacturing (ISM 2020), 2020

An adaptive machine learning methodology to determine manufacturing process parameters for each part.

David Muhr, Shailesh Tripathi, Herbert Jodlbauer

Proceedings of the 2nd International Conference on Industry 4.0 and Smart Manufacturing (ISM 2020), 2020

2019

On the degeneracy of the Randić entropy and related graph measures.

Matthias Dehmer, Zengqiang Chen, Abbe Mowshowitz, Herbert Jodlbauer, Frank Emmert-Streib, Yongtang Shi, Shailesh Tripathi, Chengyi Xia

Inf. Sci., 2019

Towards detecting structural branching and cyclicity in graphs: A polynomial-based approach.

Matthias Dehmer, Zengqiang Chen, Frank Emmert-Streib, Abbe Mowshowitz, Yongtang Shi, Shailesh Tripathi, Yusen Zhang

Inf. Sci., 2019

Constrained Covariance Matrices With a Biologically Realistic Structure: Comparison of Methods for Generating High-Dimensional Gaussian Graphical Models.

Frank Emmert-Streib, Shailesh Tripathi, Matthias Dehmer

Frontiers Appl. Math. Stat., 2019

On efficient network similarity measures.

Matthias Dehmer, Zengqiang Chen, Yongtang Shi, Yusen Zhang, Shailesh Tripathi, Modjtaba Ghorbani, Abbe Mowshowitz, Frank Emmert-Streib

Appl. Math. Comput., 2019

Approaches to Identify Relevant Process Variables in Injection Moulding using Beta Regression and SVM.

Shailesh Tripathi, Sonja Strasser, Christian Mittermayr, Matthias Dehmer, Herbert Jodlbauer

Proceedings of the 8th International Conference on Data Science, 2019

2018

Graph measures with high discrimination power revisited: A random polynomial approach.

Matthias Dehmer, Zengqiang Chen, Frank Emmert-Streib, Yongtang Shi, Shailesh Tripathi

Inf. Sci., 2018

Optimum Utilization of Resources Through Restricted Virtual Machine Migration and Efficient VM Placement in Cloud Data Center.

Subhadra Bose Shaw, Anil Kumar Singh, Shailesh Tripathi

Int. J. Distributed Syst. Technol., 2018

Understanding the World Economy in Terms of Networks: A Survey of Data-Based Network Science Approaches on Economic Networks.

Frank Emmert-Streib, Shailesh Tripathi, Olli Yli-Harja, Matthias Dehmer

Frontiers Appl. Math. Stat., 2018

Linear vs. Symbolic Regression for Adaptive Parameter Setting in Manufacturing Processes.

Sonja Strasser, Jan Zenisek, Shailesh Tripathi, Lukas Schimpelsberger, Herbert Jodlbauer

Proceedings of the Data Management Technologies and Applications, 2018

An Approach for Adaptive Parameter Setting in Manufacturing Processes.

Sonja Strasser, Shailesh Tripathi, Richard Kerschbaumer

Proceedings of the 7th International Conference on Data Science, 2018

2017

Highly unique network descriptors based on the roots of the permanental polynomial.

Matthias Dehmer, Frank Emmert-Streib, Bo Hu, Yongtang Shi, Monica Stefu, Shailesh Tripathi

Inf. Sci., 2017

sgnesR: An R package for simulating gene expression data from an underlying real gene network structure considering delay parameters.

Shailesh Tripathi, Jason Lloyd-Price, Andre S. Ribeiro, Olli Yli-Harja, Matthias Dehmer, Frank Emmert-Streib

BMC Bioinform., 2017

2016

Comparison of module detection algorithms in protein networks and investigation of the biological meaning of predicted modules.

Shailesh Tripathi, Salissou Moutari, Matthias Dehmer, Frank Emmert-Streib

BMC Bioinform., 2016

samExploreR: exploring reproducibility and robustness of RNA-seq results based on SAM files.

Alexey Stupnikov, Shailesh Tripathi, Ricardo de Matos Simoes, Darragh G. McArt, Manuel Salto-Tellez, Galina V. Glazko, Matthias Dehmer, Frank Emmert-Streib

Bioinform., 2016

2014

NetBioV: an R package for visualizing large network data in biology and medicine.

Shailesh Tripathi, Matthias Dehmer, Frank Emmert-Streib

Bioinform., 2014

2012

Organizational structure and the periphery of the gene regulatory network in B-cell lymphoma.

Ricardo de Matos Simoes, Shailesh Tripathi, Frank Emmert-Streib

BMC Syst. Biol., 2012

2006

From Gene to Drug: A Proof of Concept for a Plausible Computational Pathway.

Sandhya Shenoy, Bhyravabhotla Jayaram, N. Latha, Pooja Narang, Tarun Jain, Kumkum Bhushan, Saher Afshan Shaikh, Surojit Bose, Pankaj Sharma, Poonam Singhal, A. Gandhimathi, Praveen Agrawal, Vidhu Pandey, Samrat Dutta, Gurvisha Sandhu, Anuj Gupta, Shashank Shekhar, Shailesh Tripathi

Proceedings of the Sixth International Conference on Intelligent Systems Design and Applications (ISDA 2006), 2006