| 2025 | ER | Rethinking Learning: The Role of Unlearning in Generative AI-Based Conceptual Modeling. | Shahnewaz Karim Sakib, Stephen W. Liddle, Christopher J. Lynch, Ameeta Agrawal, Philippe J. Giabbanelli |
| 2025 | ICCS | A Parameter-Free Model for the Online Spread of Far-Right Messages: Combining Agent-Based Models with Large-Language Models. | Stephen Zhong, Nathalie Japkowicz, Frdric Amblard, Philippe J. Giabbanelli |
| 2025 | MODELS | Combining and Simplifying the Mental Models of Participants: An Edge Centrality-Based Method for Fuzzy Cognitive Maps. | Ryan Schuerkamp, Philippe J. Giabbanelli |
| 2025 | MODELS | Do we Still Need People? Comparing Human and LLM Personas in Political Modeling and Simulation. | Stephen Zhong, Nathalie Japkowicz, Philippe J. Giabbanelli |
| 2025 | WSC | From Over-Reliance to Smart Integration: Using Large-Language Models as Translators Between Specialized Modeling and Simulation Tools. | Philippe J. Giabbanelli, John Beverley, Istvan David, Andreas Tolk |
| 2024 | ER | Can Large Language Models Learn Conceptual Modeling by Looking at Slide Decks and Pass Graduate Examinations? An Empirical Study. | No Y. Flandre, Philippe J. Giabbanelli |
| 2024 | ER | Combining Natural Language Generation and Graph Algorithms to Explain Causal Maps Through Meaningful Paragraphs. | Tyler J. Gandee, Philippe J. Giabbanelli |
| 2024 | WSC | Accelerating Hybrid Agent-Based Models and Fuzzy Cognitive Maps: How to Combine Agents who Think Alike? | Philippe J. Giabbanelli, Jack Beerman |
| 2024 | WSC | Broadening Access to Simulations for End-Users via Large Language Models: Challenges and Opportunities. | Philippe J. Giabbanelli, Jose J. Padilla, Ameeta Agrawal |
| 2023 | WSC | Towards An Automatic Construction Of Simulation Scenarios: A Systematic Review. | Christopher W. H. Davis, Antonie J. Jetter, Philippe J. Giabbanelli |
| 2023 | WSC | GPT-Based Models Meet Simulation: How to Efficiently use Large-Scale Pre-Trained Language Models Across Simulation Tasks. | Philippe J. Giabbanelli |
| 2023 | WSC | How to combine models? Principles and mechanisms to aggregate fuzzy cognitive maps. | Ryan Schuerkamp, Philippe J. Giabbanelli, Umberto Grandi, Sylvie Doutre |
| 2022 | ICCS | Automatic Generation of Individual Fuzzy Cognitive Maps from Longitudinal Data. | Maciej K. Wozniak, Samvel Mkhitaryan, Philippe J. Giabbanelli |
| 2022 | WSC | Design and Deployment of a Simulation Platform: Case Study of an Agent-Based Model for Youth Suicide Prevention. | Joshua Huddleston, Michael C. Galgoczy, Kareem A. Ghumrawi, Philippe J. Giabbanelli, Ketra L. Rice, Nisha Nataraj, Margaret M. Brown, Christopher R. Harper, Curtis S. Florence |
| 2022 | WSC | Towards Reusable Building Blocks to Develop COVID-19 Simulation Models. | Shane A. Schroeder, Christopher Vendome, Philippe J. Giabbanelli, Alan M. Montfort |
| 2022 | WSC | Automatically Explaining a Model: Using Deep Neural Networks to Generate Text From Causal Maps. | Anish Shrestha, Kyle Mielke, Tuong Anh Nguyen, Philippe J. Giabbanelli |
| 2022 | WSC | A New Application of Machine Learning: Detecting Errors in Network Simulations. | Maciej K. Wozniak, Luke Liang, Hieu Phan, Philippe J. Giabbanelli |
| 2021 | ICCS | The Necessity and Difficulty of Navigating Uncertainty to Develop an Individual-Level Computational Model. | Alexander J. Freund, Philippe J. Giabbanelli |
| 2021 | ICCS | How Do Teams of Novice Modelers Choose an Approach? An Iterated, Repeated Experiment in a First-Year Modeling Course. | Philippe J. Giabbanelli, Piper J. Jackson |
| 2021 | ICCS | Identifying Synergistic Interventions to Address COVID-19 Using a Large Scale Agent-Based Model. | Junjiang Li, Philippe J. Giabbanelli |
| 2021 | PADS | Comparing Implementations of Cellular Automata as Images: A Novel Approach to Verification by Combining Image Processing and Machine Learning. | Maciej K. Wozniak, Philippe J. Giabbanelli |
| 2021 | WSC | Comparing the Effect of Code Optimizations on Simulation Runtime Across Synchronous Cellular Automata Models of HIV. | Junjiang Li, Philippe J. Giabbanelli, Till Kster |
| 2021 | WSC | How Modeling Methods for Fuzzy Cognitive Mapping Can Benefit From Psychology Research. | Samvel Mkhitaryan, Philippe J. Giabbanelli |
| 2020 | HCI | Reducing the Gap Between the Conceptual Models of Students and Experts Using Graph-Based Adaptive Instructional Systems. | Philippe J. Giabbanelli, Andrew A. Tawfik |
| 2020 | PADS | Optimizing Discrete Simulations of the Spread of HIV-1 to Handle Billions of Cells on a Workstation. | Philippe J. Giabbanelli, Joshua A. Devita, Till Kster, Jared A. Kohrt |
| 2020 | WSC | Performance and Soundness of Simulation: A Case Study Based on a Cellular Automaton for In-Body Spread of HIV. | Till Kster, Philippe J. Giabbanelli, Adelinde M. Uhrmacher |
| 2019 | HCI | The Artificial Facilitator: Guiding Participants in Developing Causal Maps Using Voice-Activated Technologies. | Thrishma Reddy, Philippe J. Giabbanelli, Vijay K. Mago |
| 2019 | HCI | From Social Media to Expert Reports: The Impact of Source Selection on Automatically Validating Complex Conceptual Models of Obesity. | Mannila Sandhu, Philippe J. Giabbanelli, Vijay K. Mago |
| 2019 | PADS | Mechanisms for Cell-to-cell and Cell-free Spread of HIV-1 in Cellular Automata Models. | Philippe J. Giabbanelli, Cole Freeman, Joshua A. Devita, Nicholas Rosso, Zabrina L. Brumme |
| 2019 | PADS | CoFluences: Simulating the Spread of Social Influences via a Hybrid Agent-Based/Fuzzy Cognitive Maps Architecture. | Philippe J. Giabbanelli, Michele Fattoruso, Max L. Norman |
| 2019 | WSC | The Intersection of Agent Based Models and Fuzzy Cognitive Maps: A Review of an Emerging Hybrid Modeling Practice. | Christopher W. H. Davis, Philippe J. Giabbanelli, Antonie J. Jetter |
| 2019 | WSC | Solving Challenges at the Interface of Simulation and Big Data Using Machine Learning. | Philippe J. Giabbanelli |
| 2018 | HCI | An Online Environment to Compare Students' and Expert Solutions to Ill-Structured Problems. | Vishrant K. Gupta, Philippe J. Giabbanelli, Andrew A. Tawfik |
| 2017 | WSC | Analyzing and simplifying model uncertainty in fuzzy cognitive maps. | Eric A. Lavin, Philippe J. Giabbanelli |
| 2016 | HCI | Feasibility and Framing of Interventions Based on Public Support: Leveraging Text Analytics for Policymakers. | Philippe J. Giabbanelli, Jean Adams, Venkata Sai Pillutla |
| 2016 | HCI | A Novel Visualization Environment to Support Modelers in Analyzing Data Generated by Cellular Automata. | Philippe J. Giabbanelli, Guru Jagadeesh Babu, Magda Baniukiewicz |
| 2016 | ICCS | Teaching Computational Modeling in the Data Science Era. | Philippe J. Giabbanelli, Vijay Kumar Mago |
| 2015 | ICCS | Using Visual Analytics to Support the Integration of Expert Knowledge in the Design of Medical Models and Simulations. | Philippe J. Giabbanelli, Piper J. Jackson |
| 2015 | ICCS | An Algebraic Approach to Combining Classifiers. | Philippe J. Giabbanelli, Joseph G. Peters |
| 2015 | PADS | Exploring the Relationship between Adherence to Treatment and Viral Load through a New Discrete Simulation Model of HIV Infectivity. | Ela Rana, Philippe J. Giabbanelli, Naga H. Balabhadrapathruni, Xiaoyu Li, Vijay Kumar Mago |
| 2013 | HCI | Supporting a Participant-Centric Management of Obesity via a Self-improving Health Game. | Philippe J. Giabbanelli, Penny Deck, Lisa Andres, Thecla Schiphorst, Diane T. Finegood |
| 2013 | ISI | Detecting unfolding crises with Visual Analytics and Conceptual Maps Emerging phenomena and big data. | Simon F. Pratt, Philippe J. Giabbanelli, Jean-Sebastien Mercier |
| 2012 | ISI | Rebel with many causes: A computational model of insurgency. | Simon F. Pratt, Philippe J. Giabbanelli, Piper J. Jackson, Vijay Kumar Mago |