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2020 – today
- 2023
[j20]Herbert Jodlbauer, Shailesh Tripathi:
Analytical comparison of cross impact steady state, DEMATEL, and page rank for analyzing complex systems. Expert Syst. Appl. 225: 120154 (2023)- 2022
- [j19]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): 465-494 (2022) - [j18]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: 498-528 (2022) - [j17]Yuede Ma, Matthias Dehmer, Urs-Martin Künzi, Shailesh Tripathi, Modjtaba Ghorbani, Jin Tao, Frank Emmert-Streib:
The usefulness of topological indices. Inf. Sci. 606: 143-151 (2022) - [c11]Shailesh Tripathi, Nadine Bachmann, Manuel Brunner, Herbert Jodlbauer:
Analyzing Cross-impact Matrices for Managerial Decision-making Problems with the DEMATEL Approach. DATA 2022: 370-382 - [c10]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: 731-752 - 2021
- [j16]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: 576892 (2021) - [j15]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: 291-303 (2021) - [c9]Shailesh Tripathi, Sonja Strasser, Herbert Jodlbauer:
A Network based Approach for Reducing Variant Diversity in Production Planning and Control. DATA 2021: 241-251 - [c8]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: 1550-1564 - 2020
- [j14]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: 4 (2020) - [c7]Shailesh Tripathi, Christian Mittermayr, David Muhr, Herbert Jodlbauer:
Large scale predictability analysis of process variables from injection molding machines. ISM 2020: 545-560 - [c6]David Muhr, Shailesh Tripathi, Herbert Jodlbauer:
An adaptive machine learning methodology to determine manufacturing process parameters for each part. ISM 2020: 764-771 - [c5]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 - [i1]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 abs/2007.14791 (2020)
2010 – 2019
- 2019
- [j13]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) - [j12]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: 17 (2019) - [j11]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: 19-28 (2019) - [j10]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: 680-687 (2019) - [c4]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: 233-242 - 2018
- [j9]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: 37 (2018) - [j8]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): 1-19 (2018) - [j7]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: 407-414 (2018) - [c3]Sonja Strasser, Shailesh Tripathi, Richard Kerschbaumer:
An Approach for Adaptive Parameter Setting in Manufacturing Processes. DATA 2018: 24-32 - [c2]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: 50-68 - 2017
- [j6]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): 325 (2017) - [j5]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: 176-181 (2017) - 2016
- [j4]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): 3345-3347 (2016) - [j3]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: 129 (2016) - 2014
- [j2]Shailesh Tripathi, Matthias Dehmer, Frank Emmert-Streib:
NetBioV: an R package for visualizing large network data in biology and medicine. Bioinform. 30(19): 2834-2836 (2014) - 2012
- [j1]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: 38 (2012)
2000 – 2009
- 2006
- [c1]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: 1147-1152
Coauthor Index
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