Shailesh Tripathi

56 papers C 21Journal 29Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
Implementing physics-informed neural networks with deep learning for differential equations.
Frontiers Artif. Intell.
Frank Emmert-Streib, Shailesh Tripathi, Amer Farea, Andreas Holzinger
2024 C conf
AI in Manufacturing: A comprehensive Keywords and Topics Analysis.
ISM
Sonja Strasser, Shailesh Tripathi, Manuel Brunner
2024 J jnl
Advanced Scientometric Analysis of Scientific Machine Learning and PINNs: Topic Modeling and Trend Analysis.
IEEE Access
Frank Emmert-Streib, Shailesh Tripathi, Amer Farea, Olli Yli-Harja
2024 J jnl
Assessing the current landscape of AI and sustainability literature: identifying key trends, addressing gaps and challenges.
J. Big Data
Shailesh Tripathi, Nadine Bachmann, Manuel Brunner, Ziad Rizk, Herbert Jodlbauer
2024 C conf
Comparing environmental and social Performance Measurement Understandings.
ISM
Ann-Kristin Thienemann, Katherine Gundolf, Nadine Bachmann, Shailesh Tripathi, Manuel Brunner, Alican Tuezuen, Sebastian Pöchtrager, Herbert Jodlbauer
2024 — conf
Comparison of Community Detection Algorithms for Reducing Variant Diversity in Production.
APMS (5)
Shailesh Tripathi, Wolfgang Seiringer, Sonja Strasser, Herbert Jodlbauer
2024 C conf
Cost and Profit Distributions in Allied Supply Chains.
ISM
Herbert Jodlbauer, Shailesh Tripathi, Nadine Bachmann, Manuel Brunner, Ann-Kristin Thienemann, Alican Tüzün, Sebastian Pöchtrager
2024 J jnl
Due date quoting and rescheduling in a fixed production sequence.
Int. J. Prod. Res.
Herbert Jodlbauer, Shailesh Tripathi
2024 C conf
Enhancing customer satisfaction through digitalization: Past, present and possible future approaches.
ISM
Manuel Brunner, Shailesh Tripathi, Katherine Gundolf, Nadine Bachmann, Ann-Kristin Thienemann, Alican Tüzün, Sebastian Pöchtrager, Herbert Jodlbauer
2024 C conf
Evaluation of Clustering with PCA for Market Segmentation: A Study Using Simulated and Surrogate Data.
ISM
Shailesh Tripathi, Nadine Bachmann, Manuel Brunner, Alican Tuezuen, Ann-Kristin Thienemann, Sebastian Pöchtrager, Herbert Jodlbauer
2024 C conf
Granular and Relational SWOT Analysis: An Ontological Approach.
ISM
Alican Tüzün, Shailesh Tripathi, Nadine Bachmann, Ann-Kristin Thienemann, Manuel Brunner, Herbert Jodlbauer
2024 J jnl
Human Team Behavior and Predictability in the Massively Multiplayer Online Game WOT Blitz.
ACM Trans. Web
Frank Emmert-Streib, Shailesh Tripathi, Matthias Dehmer
2024 J jnl
Investigating the optimal number of topics by advanced text-mining techniques: Sustainable energy research.
Eng. Appl. Artif. Intell.
Amer Farea, Shailesh Tripathi, Galina V. Glazko, Frank Emmert-Streib
2024 — conf
Simplifying Data Analysis: A Visualization Framework and Practical Application for Complex BEV Data.
APMS (4)
Daniel Niedermayr, Manuel Brunner, Shailesh Tripathi, Herbert Jodlbauer
2024 C conf
The Evolution of the Business Model Canvas for Digital Sustainability.
ISM
Nadine Bachmann, Ann-Kristin Thienemann, Alican Tüzün, Manuel Brunner, Shailesh Tripathi, Sebastian Pöchtrager, Herbert Jodlbauer
2024 J jnl
Unlocking hidden market segments: A data-driven approach exemplified by the electric vehicle market.
Expert Syst. Appl.
Herbert Jodlbauer, Shailesh Tripathi, Nadine Bachmann, Manuel Brunner
2023 J jnl
Analytical comparison of cross impact steady state, DEMATEL, and page rank for analyzing complex systems.
Expert Syst. Appl.
Herbert Jodlbauer, Shailesh Tripathi
2023 J jnl
Analyzing the Scholarly Literature of Digital Twin Research: Trends, Topics and Structure.
IEEE Access
Frank Emmert-Streib, Shailesh Tripathi, Matthias Dehmer
2023 C conf
Cross-Impact Analysis of Entrepreneurial Failure and Business Model Innovation: Navigating the Impact of Societal Perceptions.
ISM
Nadine Bachmann, Shailesh Tripathi, Manuel Brunner, Herbert Jodlbauer, Alexander Piereder
2023 C conf
Exploring Time-Based Characteristics of the E-Car Market for Effective Market Segmentation.
ISM
Shailesh Tripathi, Nadine Bachmann, Manuel Brunner, Herbert Jodlbauer
2023 C conf
Forecasting Steel Demand: Comparative Analysis of Predictability across diverse Countries and Regions.
ISM
Sonja Strasser, Shailesh Tripathi
2023 C conf
Market Data Exploitation: Exemplified by the Battery Electric Vehicle Market.
ISM
Herbert Jodlbauer, Shailesh Tripathi, Nadine Bachmann, Manuel Brunner, Alexander Piereder
2023 C conf
Sustainability as a key value proposition - a literature review and potential pathways.
ISM
Manuel Brunner, Nadine Bachmann, Shailesh Tripathi, Sebastian Pöchtrager, Herbert Jodlbauer
2022 J jnl
A Survey on Cross-Virtuality Analytics.
Comput. Graph. Forum
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
2022 J jnl
A data-centric review of deep transfer learning with applications to text data.
Inf. Sci.
Samar Bashath, Nadeesha Perera, Shailesh Tripathi, Kalifa Manjang, Matthias Dehmer, Frank Emmert-Streib
2022 C conf
Analyzing Cross-impact Matrices for Managerial Decision-making Problems with the DEMATEL Approach.
DATA
Shailesh Tripathi, Nadine Bachmann, Manuel Brunner, Herbert Jodlbauer
2022 C conf
Exploring the time-lagged causality of process variables from injection molding machines.
ISM
Shailesh Tripathi, Christian Mittermayr, Herbert Jodlbauer
2022 C conf
Implementing Virtuality in Production - a Design Science Approach.
ISM
Manuel Brunner, Herbert Jodlbauer, Nadine Bachmann, Shailesh Tripathi
2022 J jnl
The usefulness of topological indices.
Inf. Sci.
Yuede Ma, Matthias Dehmer, Urs-Martin Künzi, Shailesh Tripathi, Modjtaba Ghorbani, Jin Tao, Frank Emmert-Streib
2022 — conf
Vsimgen: A Proposal for an Interactive Visualization Tool for Simulation of Production Planning and Control Strategies.
FTC (1)
Shailesh Tripathi, Andreas Riegler, Christoph Anthes, Herbert Jodlbauer
2021 C conf
A Network based Approach for Reducing Variant Diversity in Production Planning and Control.
DATA
Shailesh Tripathi, Sonja Strasser, Herbert Jodlbauer
2021 J jnl
Ensuring the Robustness and Reliability of Data-Driven Knowledge Discovery Models in Production and Manufacturing.
Frontiers Artif. Intell.
Shailesh Tripathi, David Muhr, Manuel Brunner, Herbert Jodlbauer, Matthias Dehmer, Frank Emmert-Streib
2021 C conf
Identifying key interactions between process variables of different material categories using mutual information-based network inference method.
ISM
Shailesh Tripathi, Herbert Jodlbauer, Christian Mittermayr, Frank Emmert-Streib
2021 J jnl
Relationships between symmetry-based graph measures.
Inf. Sci.
Yuede Ma, Matthias Dehmer, Urs-Martin Künzi, Abbe Mowshowitz, Shailesh Tripathi, Modjtaba Ghorbani, Frank Emmert-Streib
2020 J jnl
An Introductory Review of Deep Learning for Prediction Models With Big Data.
Frontiers Artif. Intell.
Frank Emmert-Streib, Zhen Yang, Han Feng, Shailesh Tripathi, Matthias Dehmer
2020 C conf
An adaptive machine learning methodology to determine manufacturing process parameters for each part.
ISM
David Muhr, Shailesh Tripathi, Herbert Jodlbauer
2020 — conf
Cross-Virtuality Visualization, Interaction and Collaboration.
XR@ISS
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
2020 J jnl
Ensuring the Robustness and Reliability of Data-Driven Knowledge Discovery Models in Production and Manufacturing.
CoRR
Shailesh Tripathi, David Muhr, Manuel Brunner, Frank Emmert-Streib, Herbert Jodlbauer, Matthias Dehmer
2020 C conf
Large scale predictability analysis of process variables from injection molding machines.
ISM
Shailesh Tripathi, Christian Mittermayr, David Muhr, Herbert Jodlbauer
2019 C conf
Approaches to Identify Relevant Process Variables in Injection Moulding using Beta Regression and SVM.
DATA
Shailesh Tripathi, Sonja Strasser, Christian Mittermayr, Matthias Dehmer, Herbert Jodlbauer
2019 J jnl
Constrained Covariance Matrices With a Biologically Realistic Structure: Comparison of Methods for Generating High-Dimensional Gaussian Graphical Models.
Frontiers Appl. Math. Stat.
Frank Emmert-Streib, Shailesh Tripathi, Matthias Dehmer
2019 J jnl
On efficient network similarity measures.
Appl. Math. Comput.
Matthias Dehmer, Zengqiang Chen, Yongtang Shi, Yusen Zhang, Shailesh Tripathi, Modjtaba Ghorbani, Abbe Mowshowitz, Frank Emmert-Streib
2019 J jnl
On the degeneracy of the Randić entropy and related graph measures.
Inf. Sci.
Matthias Dehmer, Zengqiang Chen, Abbe Mowshowitz, Herbert Jodlbauer, Frank Emmert-Streib, Yongtang Shi, Shailesh Tripathi, Chengyi Xia
2019 J jnl
Towards detecting structural branching and cyclicity in graphs: A polynomial-based approach.
Inf. Sci.
Matthias Dehmer, Zengqiang Chen, Frank Emmert-Streib, Abbe Mowshowitz, Yongtang Shi, Shailesh Tripathi, Yusen Zhang
2018 C conf
An Approach for Adaptive Parameter Setting in Manufacturing Processes.
DATA
Sonja Strasser, Shailesh Tripathi, Richard Kerschbaumer
2018 J jnl
Graph measures with high discrimination power revisited: A random polynomial approach.
Inf. Sci.
Matthias Dehmer, Zengqiang Chen, Frank Emmert-Streib, Yongtang Shi, Shailesh Tripathi
2018 — conf
Linear vs. Symbolic Regression for Adaptive Parameter Setting in Manufacturing Processes.
DATA (Revised Selected Papers)
Sonja Strasser, Jan Zenisek, Shailesh Tripathi, Lukas Schimpelsberger, Herbert Jodlbauer
2018 J jnl
Optimum Utilization of Resources Through Restricted Virtual Machine Migration and Efficient VM Placement in Cloud Data Center.
Int. J. Distributed Syst. Technol.
Subhadra Bose Shaw, Anil Kumar Singh, Shailesh Tripathi
2018 J jnl
Understanding the World Economy in Terms of Networks: A Survey of Data-Based Network Science Approaches on Economic Networks.
Frontiers Appl. Math. Stat.
Frank Emmert-Streib, Shailesh Tripathi, Olli Yli-Harja, Matthias Dehmer
2017 J jnl
Highly unique network descriptors based on the roots of the permanental polynomial.
Inf. Sci.
Matthias Dehmer, Frank Emmert-Streib, Bo Hu, Yongtang Shi, Monica Stefu, Shailesh Tripathi
2017 J jnl
sgnesR: An R package for simulating gene expression data from an underlying real gene network structure considering delay parameters.
BMC Bioinform.
Shailesh Tripathi, Jason Lloyd-Price, Andre S. Ribeiro, Olli Yli-Harja, Matthias Dehmer, Frank Emmert-Streib
2016 J jnl
Comparison of module detection algorithms in protein networks and investigation of the biological meaning of predicted modules.
BMC Bioinform.
Shailesh Tripathi, Salissou Moutari, Matthias Dehmer, Frank Emmert-Streib
2016 J jnl
samExploreR: exploring reproducibility and robustness of RNA-seq results based on SAM files.
Bioinform.
Alexey Stupnikov, Shailesh Tripathi, Ricardo de Matos Simoes, Darragh G. McArt, Manuel Salto-Tellez, Galina V. Glazko, Matthias Dehmer, Frank Emmert-Streib
2014 J jnl
NetBioV: an R package for visualizing large network data in biology and medicine.
Bioinform.
Shailesh Tripathi, Matthias Dehmer, Frank Emmert-Streib
2012 J jnl
Organizational structure and the periphery of the gene regulatory network in B-cell lymphoma.
BMC Syst. Biol.
Ricardo de Matos Simoes, Shailesh Tripathi, Frank Emmert-Streib
2006 — conf
From Gene to Drug: A Proof of Concept for a Plausible Computational Pathway.
ISDA (1)
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