Assoz. Prof. Dr. Johannes Schneider

Schneider, J. (in press). Correlated Initialization for Correlated Data. Neural Processing Letters.

Schneider, J., Meske, C., & Kuss, P. (2024). Foundation Models. Business & Information Systems Engineering. (ABDC_2022: A; ABS_2021: 2; VHB_3: B)

Schneider, J., & Apruzzese, G. (2023). Dual Adversarial Attacks: Fooling Humans and Classifiers. Journal of Information Security and Applications, 75.

Simons, A., Wohlgenannt, I., Zelt, S., Weinmann, M., Schneider, J., & vom Brocke, J. (2023). Intelligence at play: game-based assessment using a virtual-reality application. Virtual Reality, 27, 1827–1843.

Abraham, R., Schneider, J., & vom Brocke, J. (2023). A taxonomy of data governance decision domains in data marketplaces. Electronic Markets, 33(22). (ABDC_2022: A; ABS_2021: 2; VHB_3: B)

Schneider, J., & Breitinger, F. (2023). Towards AI forensics: Did the artificial intelligence system do it? Journal of Information Security and Applications, 76.

Schneider, J., & Vlachos, M. (2023). Reflective-net: learning from explanations. Data Mining and Knowledge Discovery.

Schneider, J., Seidel, S., Basalla, M., & vom Brocke, J. (2023). Reuse, Reduce, Support: Design Principles for Green Data Mining. Business & Information Systems Engineering, 65. (ABDC_2022: A; ABS_2021: 2; VHB_3: B)

Utama, C., Meske, C., Schneider, J., Schlatmann, R., & Ulbrich, C. (2023). Explainable artificial intelligence for photovoltaic fault detection: A comparison of instruments. Solar Energy, 249, 139-151.

Meske, C., Bunde, E., Schneider, J., & Gersch, M. (2022). Explainable artificial intelligence: Objectives, stakeholders and future research opportunities. Information Systems Management, 39(1), 53-63. (ABDC_2022: B; ABS_2021: 2; VHB_3: C)

Werner, F., Basalla, M., Schneider, J., Hays, D., & vom Brocke, J. (2021). Blockchain Adoption from an Interorganizational Systems Perspective - A Mixed-Methods Approach. Information Systems Management, 38(2), 135-150. (ABDC_2022: B; ABS_2021: 2; VHB_3: C)

Holzwarth, V., Schneider, J., Handali, J., Gisler, J., Hirt, C., Kunz, A., & vom Brocke, J. (2021). Towards estimating affective states in Virtual Reality based on behavioral data. Virtual Reality, 25, 1139–1152.

Kamm, M., Kucklick, J., Schneider, J., & vom Brocke, J. (2021). Data mining for small shops: Empowering brick-and-mortar stores through BI functionalities of a loyalty program. Information Systems Management, 38(4), 270-286. (ABDC_2022: B; ABS_2021: 2; VHB_3: C)

Basalla, M., Schneider, J., Luksik, M., Jaakonmäki, R., & vom Brocke, J. (2021). On Latency of E-Commerce Platforms. Journal of Organizational Computing and Electronic Commerce, 31(1), 1 - 17. (ABDC_2022: A; ABS_2021: 1; VHB_3: C)

Hacker, J., vom Brocke, J., Handali, J., Otto, M., & Schneider, J. (2020). Virtually in this together – how web-conferencing systems enabled a new virtual togetherness during the COVID-19 crisis. European Journal of Information Systems, 29(5), 563-584. (ABDC_2022: A*; ABS_2021: 4; VHB_3: A)

Holzwarth, V., Schneider, J., Kunz, A., & vom Brocke, J. (2019). Data driven value creation in AEC along the building lifecycle. Journal of Physics: Conference Series, 1343(012046).

Abraham, R., Schneider, J., & vom Brocke, J. (2019). Data governance: A conceptual framework, structured review, and research agenda. International Journal of Information Management, 49(Dec), 424-438. (ABDC_2022: A*; ABS_2021: 2; VHB_3: C)

vom Brocke, J., Basalla, M., Kaiser, L. F., Schneider, J., Ragtschaa, S., Batliner-Staber, F., & Dzinic, E. (2018). Own - The Case of a Blockchain Business Model Disrupting the Equity Market. CONTROLLING - Zeitschrift für erfolgsorientierte Unternehmenssteuerung, 30(5), 19-25. (VHB_3: D)

Schneider, J., Bernstein, A., vom Brocke, J., Damevski, K., & Shepherd, D. C. (2018). Detecting Plagiarism Based on the Creation Process. IEEE Transactions on Learning Technologies (TLT), 11(3), 348-361.

Harris, D. G., Schneider, J., & Su, H.-H. (2018). Distributed (delta 1)-Coloring in Sublogarithmic Rounds. Journal of the ACM, 65(4). (ABDC_2022: C; VHB_3: B)

Schneider, J., & Caracas, A. (2017). Robust Speed Measurements with Standard Wireless Devices. IET Wireless Sensor Systems, 7(2), 35-43.

Schneider, J., & Vlachos, M. (2017). Scalable Density-Based Clustering with Quality Guarantees using Random Projections. Data Mining and Knowledge Discovery (DMKD), 31(4), 972-1005.

Barenboim, L., Elkin, M., Pettie, S., & Schneider, J. (2016). The Locality of Distributed Symmetry Breaking. Journal of the ACM, 63(3). (ABDC_2022: C; VHB_3: B)

Damevski, K., Shepherd, D. C., Schneider, J., & Pollock, L. (2016). Mining Sequences of Developer Interactions in Visual Studio for Usage Smells. IEEE Transactions on Software Engineering (TSE), 1(1). (VHB_3: B)

Vlachos, M., Schneider, J., & Vassiliadis, V. G. (2015). On Data Publishing with Clustering Preservation. ACM Transactions on Knowledge Discovery from Data (TKDD), 9(3).

Estler, H., Schneider, J., Nordio, M., Furia, C., & Meyer, B. (2013). Agile vs. Structured Distributed Software Development: A Case Study. Journal on Empirical Software Engineering(EMSE).

Schneider, J., Elkin, M., & Wattenhofer, R. (2012). Symmetry Breaking Depending on the Chromatic Number or the Neighborhood Growth. Journal of Theoretical Computer Science (TCS), 6(2), 70-80.

Schneider, J., & Wattenhofer, R. (2010). An Optimal Maximal Independent Set Algorithm for Bounded-Independence Graphs. Journal of Distributed Computing, 15(1), 15-26.

Schneider, J., & Vlachos, M. (2021). Explaining Neural Networks by Decoding Layer Activations. In P. Abreu, P. Rodrigues, A. Fernández & J. Gama (Eds.), Advances in Intelligent Data Analysis XIX. IDA 2021. (Vol. 12695, ): Springer.

Apruzzese, G., Laskov, P., & Schneider, J. (2023). SoK: Pragmatic Assessment of Machine Learning for Network Intrusion Detection. Paper presented at the IEEE European Symposium on Security and Privacy (IEEE EuroS&P), Delft, Netherlands.

Grisold, T., & Schneider, J. (2023). Dynamics of Human-AI Delegation in Organizational Routines. Paper presented at the Rising like a Phoenix: Emerging from the Pandemic and Reshaping Human Endeavors with Digital Technologies ICIS 2023, Hyderabad, India. (VHB_3: A)

Schneider, J., Eisenhardt, D., Utama, C., & Meske, C. (2023). Impact of data collection on ML models: Analyzing differences of biases between low- vs. high-skilled annotators. Paper presented at the 18th International Conference on Wirtschaftsinformatik, Paderborn, Germany. (VHB_3: C)

Schneider, J., Meske, C., & Bikic, A. (2023). How individuals can shape AI through data - An AI literacy and morality perspective. Paper presented at the European Conference on Information Systems, Kristiansand, Norway. (VHB_3: B)

Schäfer, M., Schneider, J., Drechsler, K., & vom Brocke, J. (2022). AI Governance: Are Chief AI Officers and AI Risk Officers needed?. Paper presented at the 30th European Conference on Information Systems, Timisoara, Rumania. (VHB_3: B)

Schneider, J., & Apruzzese, G. (2022). Concept-based Adversarial Attacks: Tricking Classifiers and Humans alike. Paper presented at the IEEE Symposium on Security and Privacy: Deep Learning and Security Workshop (SP DLS).

Handali, J. P., Schneider, J., Gau, M., Holzwarth, V., & vom Brocke, J. (2021). Visual Complexity and Scene Recognition: How Low Can You Go?. Paper presented at the 2021 IEEE Virtual Reality and 3D User Interfaces (VR), Online.

Holzwarth, V., Steiner S., Schneider J., vom Brocke J., & Kunz A. (2021). BIM-Enabled Issue and Progress Tracking Services Using Mixed Reality. Paper presented at the Smart Services Summit. Progress in IS.

Schneider, J., Hacker, J., Litvinova, J., Handali, J., & vom Brocke, J. (2021). Exploring the Use of Backgrounds in Webconferencing with Image and Text Analysis. Paper presented at the International Conference on Information Systems, Austin, Texas. (VHB_3: A)

Kamm, M., Gau, M., Schneider, J., & Vom Brocke, J. (2020). Smart Waste Collection Processes-A Case Study about Smart Device Implementation. Paper presented at the Hawaii International Conference on System Sciences, Hawaii. (VHB_3: C)

Kucklick, J.-P., Kamm, M., Schneider, J., & Vom Brocke, J. (2020). Extending Loyalty Programs with BI Functionalities A Case Study for Brick-and-Mortar Stores. Paper presented at the 53 rd Hawaii International Conference on System Sciences 2020, Hawaii. (VHB_3: C)

Handali, J. P., Schneider, J., Dennehy, D., Hoffmeister, B., Conboy, K., & Becker, J. (2020). Industry demand for analytics: A longitudinal study. Paper presented at the 28th European Conference on Information Systems (ECIS), An Online AIS Conference. (VHB_3: B)

Schneider, J. (2020). Human-to-AI Coach: Improving Human Inputs to AI Systems. Paper presented at the Advances in Intelligent Data Analysis XVIII, Online.

Schneider, J. (2020). Locality-promoting representation learning. Paper presented at the 2020 25th International Conference on Pattern Recognition (ICPR), Milan, Italy.

Schneider, J., & Vlachos, M. (2020). Personalization of Deep Learning. Paper presented at the 3rd International Data Science Conference - iDSC2020. Data Science – Analytics and Applications, Austria.

Dennehy, D., Conboy, K., Babu, J., Schneider, J., Handali, J., vom Brocke, J., Hoffmeister, B., & Stein, A. (2020). Adopting Learning Analytics to Inform Postgraduate Curriculum Design. Paper presented at the International Working Conference on Transfer and Diffusion of IT.

Schneider, J., Basalla, M., & Seidel, S. (2019). Principles of Green Data Mining. Paper presented at the Hawaii International Conference on System Sciences (HICSS), Hawaii, USA. (VHB_3: C)

Schneider, J., & Handali, J. (2019). Personalized explanation for machine learning: A conceptualization. Paper presented at the 27th European Conference on Information Systems, Stockholm & Uppsala, Sweden. (VHB_3: B)

Meske, C., Junglas, I., Schneider, J., & Jaakonmaeki, R. (2019). How Social is Your Social Network? Toward A Measurement Model. Paper presented at the International Conference on Information Systems (ICIS), Munich, Germany. (VHB_3: A)

Schneider, J., Handali, J. P., & vom Brocke, J. (2018). Increasing Trust in (Big) Data Analytics. Paper presented at the 30th International Conference on Advanced Information Systems Engineering (CAiSE) 2018: Advanced Information Systems Engineering Workshop, Tallin, Estonia.

Boesch, K., Mueller,Oliver, & Schneider, J. (2018). Emotional Contagion Through Online Newspapers. Paper presented at the European Conference on Information Systems (ECIS). (VHB_3: B)

Schneider, J., & Vlachos, M. (2018). Topic Modeling based on Keywords and Context. Paper presented at the SIAM International Conference on Data Mining (SDM).

Schneider, J., Weinmann, M., Schneider, C., & vom Brocke, J. (2017). Identifying Preferences Through Mouse Cursor Movements - Preliminary Evidence. Paper presented at the 25th European Conference on Information Systems, Guimarães, Portugal. (VHB_3: B)

Schneider, J., & Meske, C. (2017). Gender Differences in Enterprise Social Network Usage and Transformation over Time. Paper presented at the International Conference on Information Systems (ICIS). (VHB_3: A)

Harris, D. G., Schneider, J., & Su, H.-H. (2016). Distributed (\Delta 1)-Coloring in Sublogarithmic Rounds. Paper presented at the Symposium on the Theory of Computing (STOC).

Schneider, J., Bogojeska, J., & Vlachos, M. (2014). Solving Linear SVMs with Multiple 1D Projections. Paper presented at the Conference on Information and Knowledge Management (CIKM).

Schneider, J., & Vlachos,M. (2014). On Randomly Projected Hierarchical Clustering with Guarantees. Paper presented at the 2014 SIAM International Conference on Data Mining (SDM).

Vlachos, M., & Schneider, J. (2013). Fast Parameterless Density-Based Clustering via Random Projections. Paper presented at the Conference on Information and Knowledge Management (CIKM).

Schneider, J., & Schmid, S. (2013). Optimal Bounds for Online Page Migration with Generalized Migration Costs. Paper presented at the IEEE International Conference on Computer Communications (INFOCOM).

Vlachos, M., Wieczorek, A., & Schneider, J. (2012). Right-protected data publishing with hierarchical clustering preservation. Paper presented at the Conference on Information and Knowledge Management (CIKM).

Barenboim, L., Elkin,M, Pettie, S., & Schneider, J. (2012). The Locality of Distributed Symmetry Breaking. Paper presented at the Symposium on Foundations of Computer Science (FOCS).

Estler, H., Schneider, J., Nordio, M., Furia, C., & Meyer, B. (2012). Agile vs. Structured Distributed Software Development: A Case Study. Paper presented at the Conference on Global Software Engineering (ICGSE).

Schlegel, R., Obermeier, S., & Schneider, J. (2012). Structured System Threat Modeling and Mitigation Analysis for Industrial Automation Systems. Paper presented at the Symposium on Foundations of Computer Science (FOCS).

Schneider, J., & Wattenhofer, R. (2011). Trading Bit, Message, and Time Complexity of Distributed Algorithms Algorithm for Growth-Bounded Graphs. Paper presented at the Symposium on Distributed Computing (DISC).

Schneider, J., & Wattenhofer, R. (2010). A New Technique For Distributed Symmetry Breaking. Paper presented at the Principles of Distributed Computing (PODC).

Schneider, J., & Wattenhofer, R. (2010). What Is the Use of Collision Detection (in Wireless Networks)?. Paper presented at the Symposium on Distributed Computing (DISC).

Hasenfratz, D., Schneider, J., & Wattenhofer, R. (2010). Transactional Memory: How to Perform Load Adaption in a Simple And Distributed Manner. Paper presented at the International Conference on High Performance Computing & Simulation (HPCS).

Schneider, J., & Wattenhofer, R. (2009). Coloring Unstructured Multi-Hop Networks. Paper presented at the Principles of Distributed Computing (PODC).

Schneider, J., & Wattenhofer, R. (2009). Bounds On Contention Management Algorithms. Paper presented at the Symposium on Algorithms and Computation (ISAAC).

Schneider, J. (2009). Lean and Fast Secure Multi-Party Computation: Minimizing Communication and Local Computation Using A Helper. Paper presented at the International Conference on Security and Cryptography (SECRYPT).

Schneider, J., & Wattenhofer, R. (2008). A Log-Star Distributed Maximal Independent Set Algorithm for Growth-Bounded Graphs. Paper presented at the Principles of Distributed Computing (PODC).