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 002; Poonam Singhal; A. Gandhimathi; Praveen Agrawal; et al. (ISDA (1), 2006)

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)

NetBioV: an R package for visualizing large network data in biology and medicine. - Shailesh Tripathi; Matthias Dehmer; Frank Emmert-Streib (Bioinform., 2014)

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)

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)

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)

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)

An Approach for Adaptive Parameter Setting in Manufacturing Processes. - Sonja Strasser; Shailesh Tripathi; Richard Kerschbaumer (DATA, 2018)

Linear vs. Symbolic Regression for Adaptive Parameter Setting in Manufacturing Processes. - Sonja Strasser; Jan Zenisek; Shailesh Tripathi; Lukas Schimpelsberger; Herbert Jodlbauer (DATA (Revised Selected Papers), 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)

Optimum Utilization of Resources Through Restricted Virtual Machine Migration and Efficient VM Placement in Cloud Data Center. - Subhadra Bose Shaw; Anil Kumar Singh 002; Shailesh Tripathi (Int. J. Distributed Syst. Technol., 2018)

Graph measures with high discrimination power revisited: A random polynomial approach. - Matthias Dehmer; Zengqiang Chen 001; Frank Emmert-Streib; Yongtang Shi; Shailesh Tripathi (Inf. Sci., 2018)

Approaches to Identify Relevant Process Variables in Injection Moulding using Beta Regression and SVM. - Shailesh Tripathi; Sonja Strasser; Christian Mittermayr; Matthias Dehmer; Herbert Jodlbauer (DATA, 2019)

On efficient network similarity measures. - Matthias Dehmer; Zengqiang Chen 001; Yongtang Shi; Yusen Zhang 002; Shailesh Tripathi; Modjtaba Ghorbani; Abbe Mowshowitz; Frank Emmert-Streib (Appl. Math. Comput., 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)

Towards detecting structural branching and cyclicity in graphs: A polynomial-based approach. - Matthias Dehmer; Zengqiang Chen 001; Frank Emmert-Streib; Abbe Mowshowitz; Yongtang Shi; Shailesh Tripathi; Yusen Zhang 002 (Inf. Sci., 2019)

On the degeneracy of the Randić entropy and related graph measures. - Matthias Dehmer; Zengqiang Chen 001; Abbe Mowshowitz; Herbert Jodlbauer; Frank Emmert-Streib; Yongtang Shi; Shailesh Tripathi; Chengyi Xia (Inf. Sci., 2019)

An adaptive machine learning methodology to determine manufacturing process parameters for each part. - David Muhr; Shailesh Tripathi; Herbert Jodlbauer (ISM, 2020)

Large scale predictability analysis of process variables from injection molding machines. - Shailesh Tripathi; Christian Mittermayr; David Muhr; Herbert Jodlbauer (ISM, 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; et al. (XR@ISS, 2020)

An Introductory Review of Deep Learning for Prediction Models With Big Data. - Frank Emmert-Streib; Zhen Yang 029; Han Feng; Shailesh Tripathi; Matthias Dehmer (Frontiers Artif. Intell., 2020)

A Network based Approach for Reducing Variant Diversity in Production Planning and Control. - Shailesh Tripathi; Sonja Strasser; Herbert Jodlbauer (DATA, 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 (ISM, 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)

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)

Analyzing Cross-impact Matrices for Managerial Decision-making Problems with the DEMATEL Approach. - Shailesh Tripathi; Nadine Bachmann; Manuel Brunner; Herbert Jodlbauer (DATA, 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 (FTC (1), 2022)

Implementing Virtuality in Production - a Design Science Approach. - Manuel Brunner; Herbert Jodlbauer; Nadine Bachmann; Shailesh Tripathi (ISM, 2022)

Exploring the time-lagged causality of process variables from injection molding machines. - Shailesh Tripathi; Christian Mittermayr; Herbert Jodlbauer (ISM, 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)

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)

The usefulness of topological indices. - Yuede Ma; Matthias Dehmer; Urs-Martin Künzi; Shailesh Tripathi; Modjtaba Ghorbani; Jin Tao; Frank Emmert-Streib (Inf. Sci., 2022)

Cross-Impact Analysis of Entrepreneurial Failure and Business Model Innovation: Navigating the Impact of Societal Perceptions. - Nadine Bachmann; Shailesh Tripathi; Manuel Brunner; Herbert Jodlbauer; Alexander Piereder (ISM, 2023)

Sustainability as a key value proposition - a literature review and potential pathways. - Manuel Brunner; Nadine Bachmann; Shailesh Tripathi; Sebastian Pöchtrager; Herbert Jodlbauer (ISM, 2023)

Market Data Exploitation: Exemplified by the Battery Electric Vehicle Market. - Herbert Jodlbauer; Shailesh Tripathi; Nadine Bachmann; Manuel Brunner; Alexander Piereder (ISM, 2023)

Forecasting Steel Demand: Comparative Analysis of Predictability across diverse Countries and Regions. - Sonja Strasser; Shailesh Tripathi (ISM, 2023)

Exploring Time-Based Characteristics of the E-Car Market for Effective Market Segmentation. - Shailesh Tripathi; Nadine Bachmann; Manuel Brunner; Herbert Jodlbauer (ISM, 2023)

Analyzing the Scholarly Literature of Digital Twin Research: Trends, Topics and Structure. - Frank Emmert-Streib; Shailesh Tripathi; Matthias Dehmer (IEEE Access, 2023)

Analytical comparison of cross impact steady state, DEMATEL, and page rank for analyzing complex systems. - Herbert Jodlbauer; Shailesh Tripathi (Expert Syst. Appl., 2023)

Simplifying Data Analysis: A Visualization Framework and Practical Application for Complex BEV Data. - Daniel Niedermayr; Manuel Brunner; Shailesh Tripathi; Herbert Jodlbauer (APMS (4), 2024)

Comparison of Community Detection Algorithms for Reducing Variant Diversity in Production. - Shailesh Tripathi; Wolfgang Seiringer; Sonja Strasser; Herbert Jodlbauer (APMS (5), 2024)

The Evolution of the Business Model Canvas for Digital Sustainability. - Nadine Bachmann; Ann-Kristin Thienemann; Alican Tüzün; Manuel Brunner; Shailesh Tripathi; Sebastian Pöchtrager; Herbert Jodlbauer (ISM, 2024)

Enhancing customer satisfaction through digitalization: Past, present and possible future approaches. - Manuel Brunner; Shailesh Tripathi; Katherine Gundolf; Nadine Bachmann; Ann-Kristin Thienemann; Alican Tüzün; Sebastian Pöchtrager; Herbert Jodlbauer (ISM, 2024)

Cost and Profit Distributions in Allied Supply Chains. - Herbert Jodlbauer; Shailesh Tripathi; Nadine Bachmann; Manuel Brunner; Ann-Kristin Thienemann; Alican Tüzün; Sebastian Pöchtrager (ISM, 2024)

AI in Manufacturing: A comprehensive Keywords and Topics Analysis. - Sonja Strasser; Shailesh Tripathi; Manuel Brunner (ISM, 2024)

Comparing environmental and social Performance Measurement Understandings. - Ann-Kristin Thienemann; Katherine Gundolf; Nadine Bachmann; Shailesh Tripathi; Manuel Brunner; Alican Tuezuen; Sebastian Pöchtrager; Herbert Jodlbauer (ISM, 2024)

Evaluation of Clustering with PCA for Market Segmentation: A Study Using Simulated and Surrogate Data. - Shailesh Tripathi; Nadine Bachmann; Manuel Brunner; Alican Tuezuen; Ann-Kristin Thienemann; Sebastian Pöchtrager; Herbert Jodlbauer (ISM, 2024)

Granular and Relational SWOT Analysis: An Ontological Approach. - Alican Tüzün; Shailesh Tripathi; Nadine Bachmann; Ann-Kristin Thienemann; Manuel Brunner; Herbert Jodlbauer (ISM, 2024)

Advanced Scientometric Analysis of Scientific Machine Learning and PINNs: Topic Modeling and Trend Analysis. - Frank Emmert-Streib; Shailesh Tripathi; Amer Farea; Olli Yli-Harja (IEEE Access, 2024)

Investigating the optimal number of topics by advanced text-mining techniques: Sustainable energy research. - Amer Farea; Shailesh Tripathi; Galina V. Glazko; Frank Emmert-Streib (Eng. Appl. Artif. Intell., 2024)

Unlocking hidden market segments: A data-driven approach exemplified by the electric vehicle market. - Herbert Jodlbauer; Shailesh Tripathi; Nadine Bachmann; Manuel Brunner (Expert Syst. Appl., 2024)

Due date quoting and rescheduling in a fixed production sequence. - Herbert Jodlbauer; Shailesh Tripathi (Int. J. Prod. Res., 2024)

Human Team Behavior and Predictability in the Massively Multiplayer Online Game WOT Blitz. - Frank Emmert-Streib; Shailesh Tripathi; Matthias Dehmer (ACM Trans. Web, 2024)

Assessing the current landscape of AI and sustainability literature: identifying key trends, addressing gaps and challenges. - Shailesh Tripathi; Nadine Bachmann; Manuel Brunner; Ziad Rizk; Herbert Jodlbauer (J. Big Data, 2024)