Shailesh Tripathi

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 37

Top Topics

Manufacturing Processes

Gaussian Graphical Models

Top Venues

Publications

Amer Farea, Shailesh Tripathi, Galina V. Glazko, Frank Emmert-Streib
Investigating the optimal number of topics by advanced text-mining techniques: Sustainable energy research. Eng. Appl. Artif. Intell. 136 (2024)
Frank Emmert-Streib, Shailesh Tripathi, Matthias Dehmer
Human Team Behavior and Predictability in the Massively Multiplayer Online Game WOT Blitz. ACM Trans. Web 18 (1) (2024)
Shailesh Tripathi, Nadine Bachmann, Manuel Brunner, Ziad Rizk, Herbert Jodlbauer
Assessing the current landscape of AI and sustainability literature: identifying key trends, addressing gaps and challenges. J. Big Data 11 (1) (2024)
Herbert Jodlbauer, Shailesh Tripathi, Nadine Bachmann, Manuel Brunner
Unlocking hidden market segments: A data-driven approach exemplified by the electric vehicle market. Expert Syst. Appl. 254 (2024)
Herbert Jodlbauer, Shailesh Tripathi
Due date quoting and rescheduling in a fixed production sequence. Int. J. Prod. Res. 62 (4) (2024)
Shailesh Tripathi, Christian Mittermayr, Herbert Jodlbauer
Exploring the time-lagged causality of process variables from injection molding machines. ISM (2023)
Manuel Brunner, Herbert Jodlbauer, Nadine Bachmann, Shailesh Tripathi
Implementing Virtuality in Production - a Design Science Approach. ISM (2023)
Frank Emmert-Streib, Shailesh Tripathi, Matthias Dehmer
Analyzing the Scholarly Literature of Digital Twin Research: Trends, Topics and Structure. IEEE Access 11 (2023)
Herbert Jodlbauer, Shailesh Tripathi
Analytical comparison of cross impact steady state, DEMATEL, and page rank for analyzing complex systems. Expert Syst. Appl. 225 (2023)
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
A Survey on Cross-Virtuality Analytics. Comput. Graph. Forum 41 (1) (2022)
Yuede Ma, Matthias Dehmer, Urs-Martin Künzi, Shailesh Tripathi, Modjtaba Ghorbani, Jin Tao, Frank Emmert-Streib
The usefulness of topological indices. Inf. Sci. 606 (2022)
Samar Bashath, Nadeesha Perera, Shailesh Tripathi, Kalifa Manjang, Matthias Dehmer, Frank Emmert-Streib
A data-centric review of deep transfer learning with applications to text data. Inf. Sci. 585 (2022)
Shailesh Tripathi, Nadine Bachmann, Manuel Brunner, Herbert Jodlbauer
Analyzing Cross-impact Matrices for Managerial Decision-making Problems with the DEMATEL Approach. DATA (2022)
Shailesh Tripathi, Andreas Riegler, Christoph Anthes, Herbert Jodlbauer
Vsimgen: A Proposal for an Interactive Visualization Tool for Simulation of Production Planning and Control Strategies. FTC (1) (2022)
Shailesh Tripathi, Herbert Jodlbauer, Christian Mittermayr, Frank Emmert-Streib
Identifying key interactions between process variables of different material categories using mutual information-based network inference method. ISM (2021)
Shailesh Tripathi, Sonja Strasser, Herbert Jodlbauer
A Network based Approach for Reducing Variant Diversity in Production Planning and Control. DATA (2021)
Yuede Ma, Matthias Dehmer, Urs-Martin Künzi, Abbe Mowshowitz, Shailesh Tripathi, Modjtaba Ghorbani, Frank Emmert-Streib
Relationships between symmetry-based graph measures. Inf. Sci. 581 (2021)
Shailesh Tripathi, David Muhr, Manuel Brunner, Herbert Jodlbauer, Matthias Dehmer, Frank Emmert-Streib
Ensuring the Robustness and Reliability of Data-Driven Knowledge Discovery Models in Production and Manufacturing. Frontiers Artif. Intell. 4 (2021)
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
Cross-Virtuality Visualization, Interaction and Collaboration. XR@ISS (2020)
Shailesh Tripathi, David Muhr, Manuel Brunner, Frank Emmert-Streib, Herbert Jodlbauer, Matthias Dehmer
Ensuring the Robustness and Reliability of Data-Driven Knowledge Discovery Models in Production and Manufacturing. CoRR (2020)
Frank Emmert-Streib, Zhen Yang, Han Feng, Shailesh Tripathi, Matthias Dehmer
An Introductory Review of Deep Learning for Prediction Models With Big Data. Frontiers Artif. Intell. 3 (2020)
David Muhr, Shailesh Tripathi, Herbert Jodlbauer
An adaptive machine learning methodology to determine manufacturing process parameters for each part. ISM (2020)
Shailesh Tripathi, Christian Mittermayr, David Muhr, Herbert Jodlbauer
Large scale predictability analysis of process variables from injection molding machines. ISM (2020)
Matthias Dehmer, Zengqiang Chen, Abbe Mowshowitz, Herbert Jodlbauer, Frank Emmert-Streib, Yongtang Shi, Shailesh Tripathi, Chengyi Xia
On the degeneracy of the Randić entropy and related graph measures. Inf. Sci. 501 (2019)
Matthias Dehmer, Zengqiang Chen, Yongtang Shi, Yusen Zhang, Shailesh Tripathi, Modjtaba Ghorbani, Abbe Mowshowitz, Frank Emmert-Streib
On efficient network similarity measures. Appl. Math. Comput. 362 (2019)
Matthias Dehmer, Zengqiang Chen, Frank Emmert-Streib, Abbe Mowshowitz, Yongtang Shi, Shailesh Tripathi, Yusen Zhang
Towards detecting structural branching and cyclicity in graphs: A polynomial-based approach. Inf. Sci. 471 (2019)
Shailesh Tripathi, Sonja Strasser, Christian Mittermayr, Matthias Dehmer, Herbert Jodlbauer
Approaches to Identify Relevant Process Variables in Injection Moulding using Beta Regression and SVM. DATA (2019)
Frank Emmert-Streib, Shailesh Tripathi, Matthias Dehmer
Constrained Covariance Matrices With a Biologically Realistic Structure: Comparison of Methods for Generating High-Dimensional Gaussian Graphical Models. Frontiers Appl. Math. Stat. 5 (2019)
Sonja Strasser, Jan Zenisek, Shailesh Tripathi, Lukas Schimpelsberger, Herbert Jodlbauer
Linear vs. Symbolic Regression for Adaptive Parameter Setting in Manufacturing Processes. DATA (Revised Selected Papers) (2018)
Matthias Dehmer, Zengqiang Chen, Frank Emmert-Streib, Yongtang Shi, Shailesh Tripathi
Graph measures with high discrimination power revisited: A random polynomial approach. Inf. Sci. 467 (2018)
Frank Emmert-Streib, Shailesh Tripathi, Olli Yli-Harja, Matthias Dehmer
Understanding the World Economy in Terms of Networks: A Survey of Data-Based Network Science Approaches on Economic Networks. Frontiers Appl. Math. Stat. 4 (2018)
Subhadra Bose Shaw, Anil Kumar Singh, Shailesh Tripathi
Optimum Utilization of Resources Through Restricted Virtual Machine Migration and Efficient VM Placement in Cloud Data Center. Int. J. Distributed Syst. Technol. 9 (4) (2018)
Sonja Strasser, Shailesh Tripathi, Richard Kerschbaumer
An Approach for Adaptive Parameter Setting in Manufacturing Processes. DATA (2018)
Matthias Dehmer, Frank Emmert-Streib, Bo Hu, Yongtang Shi, Monica Stefu, Shailesh Tripathi
Highly unique network descriptors based on the roots of the permanental polynomial. Inf. Sci. 408 (2017)
Shailesh Tripathi, Jason Lloyd-Price, Andre S. Ribeiro, Olli Yli-Harja, Matthias Dehmer, Frank Emmert-Streib
sgnesR: An R package for simulating gene expression data from an underlying real gene network structure considering delay parameters. BMC Bioinform. 18 (1) (2017)
Alexey Stupnikov, Shailesh Tripathi, Ricardo de Matos Simoes, Darragh G. McArt, Manuel Salto-Tellez, Galina V. Glazko, Matthias Dehmer, Frank Emmert-Streib
samExploreR: exploring reproducibility and robustness of RNA-seq results based on SAM files. Bioinform. 32 (21) (2016)
Shailesh Tripathi, Salissou Moutari, Matthias Dehmer, Frank Emmert-Streib
Comparison of module detection algorithms in protein networks and investigation of the biological meaning of predicted modules. BMC Bioinform. 17 (2016)
Shailesh Tripathi, Matthias Dehmer, Frank Emmert-Streib
NetBioV: an R package for visualizing large network data in biology and medicine. Bioinform. 30 (19) (2014)
Ricardo de Matos Simoes, Shailesh Tripathi, Frank Emmert-Streib
Organizational structure and the periphery of the gene regulatory network in B-cell lymphoma. BMC Syst. Biol. 6 (2012)
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
From Gene to Drug: A Proof of Concept for a Plausible Computational Pathway. ISDA (1) (2006)