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Philippe J. Giabbanelli
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2020 – today
- 2024
- [j45]Bao Wang, Philippe J. Giabbanelli:
Identifying Informative Features to Evaluate Student Knowledge as Causal Maps. Int. J. Artif. Intell. Educ. 34(2): 301-331 (2024) - [j44]Ryan Schuerkamp, Philippe J. Giabbanelli:
Extensions of Fuzzy Cognitive Maps: A Systematic Review. ACM Comput. Surv. 56(2): 53:1-53:36 (2024) - [j43]Philippe J. Giabbanelli, Grace MacEwan:
Leveraging Artificial Intelligence and Participatory Modeling to Support Paradigm Shifts in Public Health: An Application to Obesity and Evidence-Based Policymaking. Inf. 15(2): 115 (2024) - [j42]Philippe J. Giabbanelli, Gabriel A. Wainer:
Commemorating SIMULATION's 100th volume: selected articles by Editorial Board members. Simul. 100(6): 527-528 (2024) - [j41]Luke Liang, Hieu Phan, Philippe J. Giabbanelli:
Experimental evaluation of a machine learning approach to improve the reproducibility of network simulations. Simul. 100(6): 545-561 (2024) - [j40]Duy Nguyen, Stephen Zigmond, Samuel Glassco, Bach Tran, Philippe J. Giabbanelli:
Big data meets storytelling: using machine learning to predict popular fanfiction. Soc. Netw. Anal. Min. 14(1): 58 (2024) - [j39]Philippe J. Giabbanelli, Andrew Page:
Systems Thinking and Models in Public Health. Syst. 12(3): 101 (2024) - [j38]Bao Wang, Andrew A. Tawfik, Charles Wayne Keene, Philippe J. Giabbanelli:
Transitioning from Individuals to Groups in Knowledge Map Construction. Technol. Knowl. Learn. 29(1): 229-251 (2024) - [c60]Philippe J. Giabbanelli, Anish Shrestha, Loic Demay:
Design and Development of a Collaborative Augmented Reality Environment for Systems Science. HICSS 2024: 589-598 - [c59]Philippe J. Giabbanelli, Atharva Phatak, Vijay Mago, Ameeta Agrawal:
Narrating Causal Graphs with Large Language Models. HICSS 2024: 7530-7539 - [c58]Philippe J. Giabbanelli, Nathan Witkowicz:
Generative AI for Systems Thinking: Can a GPT Question-Answering System Turn Text into the Causal Maps Produced by Human Readers? HICSS 2024: 7540-7549 - [i5]Atharva Phatak, Vijay K. Mago, Ameeta Agrawal, Aravind Inbasekaran, Philippe J. Giabbanelli:
Narrating Causal Graphs with Large Language Models. CoRR abs/2403.07118 (2024) - 2023
- [j37]Ryan Schuerkamp, Luke Liang, Ketra L. Rice, Philippe J. Giabbanelli:
Simulation Models for Suicide Prevention: A Survey of the State-of-the-Art. Comput. 12(7): 132 (2023) - [j36]Philippe J. Giabbanelli, Chirag X. Vesuvala:
Human Factors in Leveraging Systems Science to Shape Public Policy for Obesity: A Usability Study. Inf. 14(3): 196 (2023) - [j35]Philippe J. Giabbanelli, Jennifer M. Badham:
Data Science in Health Services. Inf. 14(6): 344 (2023) - [j34]Jack Beerman, Gwendal G. Beaumont, Philippe J. Giabbanelli:
A framework for the comparison of errors in agent-based models using machine learning. J. Comput. Sci. 72: 102119 (2023) - [c57]Shannon Cheng, Philippe J. Giabbanelli, Zaiyi Kuang:
Identifying the Building Blocks of Social Simulation Models: A Qualitative Analysis using Open-Source Codes in NetLogo. ANNSIM 2023: 306-317 - [c56]My Nguyen, Duc Vu, Anh Vo, Luke Liang, Philippe J. Giabbanelli:
Preserving Simulation Insight While Removing Data: Verification of Compressed Simulation Traces via Machine Learning. ANNSIM 2023: 345-356 - [c55]Jack Beerman, Gwendal G. Beaumont, Philippe J. Giabbanelli:
On the Necessity of Human Decision-Making Errors to Explain Vaccination Rates for Covid-19: an Agent-Based Modeling Study. ANNSIM 2023: 413-424 - [c54]Ryan Schuerkamp, Philippe J. Giabbanelli, Nicolas Daclin:
Facilitating the Interoperability and Reuse of Extensions of Fuzzy Cognitive Maps. ANNSIM 2023: 708-719 - [c53]David Bernard, Sylvain Cussat-Blanc, Philippe J. Giabbanelli:
Fast Generation of Heterogeneous Mental Models from Longitudinal Data by Combining Genetic Algorithms and Fuzzy Cognitive Maps. HICSS 2023: 1570-1579 - [c52]Kareem A. Ghumrawi, Kim Ha, Jack Beerman, John-David Rudie, Philippe J. Giabbanelli:
Software Technology to Develop Large-Scale Self-Adaptive Systems: Accelerating Agent-Based Models and Fuzzy Cognitive Maps via CUDA. HICSS 2023: 6863-6872 - [c51]Christopher W. H. Davis, Antonie J. Jetter, Philippe J. Giabbanelli:
Towards An Automatic Construction Of Simulation Scenarios: A Systematic Review. WSC 2023: 2494-2505 - [c50]Ryan Schuerkamp, Philippe J. Giabbanelli, Umberto Grandi, Sylvie Doutre:
How to combine models? Principles and mechanisms to aggregate fuzzy cognitive maps. WSC 2023: 2518-2529 - [c49]Philippe J. Giabbanelli:
GPT-Based Models Meet Simulation: How to Efficiently use Large-Scale Pre-Trained Language Models Across Simulation Tasks. WSC 2023: 2920-2931 - [i4]Philippe J. Giabbanelli:
GPT-Based Models Meet Simulation: How to Efficiently Use Large-Scale Pre-Trained Language Models Across Simulation Tasks. CoRR abs/2306.13679 (2023) - 2022
- [j33]Philippe J. Giabbanelli:
Hybrid Models That Combine Machine Learning and Simulations. Comput. Sci. Eng. 24(5): 72-76 (2022) - [j32]Alexander J. Freund, Philippe J. Giabbanelli:
An Experimental Study on the Scalability of Recent Node Centrality Metrics in Sparse Complex Networks. Frontiers Big Data 5: 797584 (2022) - [j31]Philippe J. Giabbanelli, Samarth Swarup, Renaud Lambiotte, Giuseppe Mangioni:
Editorial: Scalable Network Generation & Analysis. Frontiers Big Data 5 (2022) - [j30]Samvel Mkhitaryan, Philippe J. Giabbanelli, Maciej K. Wozniak, Gonzalo Nápoles, Nanne K. de Vries, Rik Crutzen:
FCMpy: a python module for constructing and analyzing fuzzy cognitive maps. PeerJ Comput. Sci. 8: e1078 (2022) - [j29]Michael C. Galgoczy, Atharva Phatak, C. Danielle Vinson, Vijay K. Mago, Philippe J. Giabbanelli:
(Re)shaping online narratives: when bots promote the message of President Trump during his first impeachment. PeerJ Comput. Sci. 8: e947 (2022) - [j28]Philippe J. Giabbanelli, Ketra L. Rice, Michael C. Galgoczy, Nisha Nataraj, Margaret M. Brown, Christopher R. Harper, Minh Duc Nguyen, Romain Foy:
Pathways to suicide or collections of vicious cycles? Understanding the complexity of suicide through causal mapping. Soc. Netw. Anal. Min. 12(1): 60 (2022) - [j27]Ashkan Negahban, Philippe J. Giabbanelli:
Hybrid Agent-Based Simulation of Adoption Behavior and Social Interactions: Alternatives, Opportunities, and Pitfalls. IEEE Trans. Comput. Soc. Syst. 9(3): 770-780 (2022) - [j26]Philippe J. Giabbanelli, Christopher D. Carothers:
Introduction to the Special Section on PADS 2020. ACM Trans. Model. Comput. Simul. 32(2): 8:1-8:2 (2022) - [c48]Maciej K. Wozniak, Samvel Mkhitaryan, Philippe J. Giabbanelli:
Automatic Generation of Individual Fuzzy Cognitive Maps from Longitudinal Data. ICCS (3) 2022: 312-325 - [c47]Shane A. Schroeder, Christopher Vendome, Philippe J. Giabbanelli, Alan M. Montfort:
Towards Reusable Building Blocks to Develop COVID-19 Simulation Models. WSC 2022: 569-580 - [c46]Maciej K. Wozniak, Luke Liang, Hieu Phan, Philippe J. Giabbanelli:
A New Application of Machine Learning: Detecting Errors in Network Simulations. WSC 2022: 653-664 - [c45]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:
Design and Deployment of a Simulation Platform: Case Study of an Agent-Based Model for Youth Suicide Prevention. WSC 2022: 2582-2593 - [c44]Anish Shrestha, Kyle Mielke, Tuong Anh Nguyen, Philippe J. Giabbanelli:
Automatically Explaining a Model: Using Deep Neural Networks to Generate Text From Causal Maps. WSC 2022: 2629-2640 - [i3]Maciej K. Wozniak, Samvel Mkhitaryan, Philippe J. Giabbanelli:
Automatic Generation of Individual Fuzzy Cognitive Maps from Longitudinal Data. CoRR abs/2202.07065 (2022) - 2021
- [j25]B. Hedelin, Steven Gray, S. Woehlke, Todd K. BenDor, Alison Singer, Rebecca Jordan, Moira Zellner, Philippe J. Giabbanelli, Pierre Glynn, Karen E. Jenni, Antonie J. Jetter, Nagesh Kolagani, Bethany K. Laursen, K. M. Leong, Laura Schmitt Olabisi, Eleanor Sterling:
What's left before participatory modeling can fully support real-world environmental planning processes: A case study review. Environ. Model. Softw. 143: 105073 (2021) - [j24]Philippe J. Giabbanelli, Boone Tison, James Keith:
The application of modeling and simulation to public health: Assessing the quality of Agent-Based Models for obesity. Simul. Model. Pract. Theory 108: 102268 (2021) - [j23]Philippe J. Giabbanelli, Andrew A. Tawfik:
How Perspectives of a System Change Based on Exposure to Positive or Negative Evidence. Syst. 9(2): 23 (2021) - [c43]Alexander J. Freund, Philippe J. Giabbanelli:
Are We Modeling the Evidence or Our Own Biases? A Comparison of Conceptual Models Created from Reports. ANNSIM 2021: 1-12 - [c42]Alexander J. Freund, Philippe J. Giabbanelli:
Automatically Combining Conceptual Models Using Semantic and Structural Information. ANNSIM 2021: 1-12 - [c41]Philippe J. Giabbanelli, Jennifer M. Badham, Brian Castellani, Hamdi Kavak, Vijay Mago, Ashkan Negahban, Samarth Swarup:
Opportunities and Challenges in Developing COVID-19 Simulation Models: Lessons from Six Funded Projects. ANNSIM 2021: 1-12 - [c40]Christopher B. Lutz, Philippe J. Giabbanelli, Andrew Fisher, Vijay K. Mago:
How Many Costly Simulations Do we Need to Create Accurate Metamodels? A Case Study on Predicting HIV Viral Load in Response to Clinically Relevant Intervention Scenarios. ANNSIM 2021: 1-12 - [c39]Donglan Zhang, Janani J. Thapa, Gang Li, Heejung Son, Zhuo Chen, Lan Mu, Yan Li, Junxiu Liu, José A. Pagán, Philippe J. Giabbanelli:
Scaling Up The SNAP-ED Toolkit Interventions to Improve Fruit and Vegetable Consumption Across Counties in Georgia: An Agent-Based Model. ANNSIM 2021: 1-12 - [c38]Kashif Zia, Philippe J. Giabbanelli, Muhammad Shafi, Alois Ferscha:
Why Honor Culture? Lessons Learned from an Agent-Based Simulation Model. ANNSIM 2021: 1-12 - [c37]Philippe J. Giabbanelli, Michael C. Galgoczy, Duc M. Nguyen, Romain Foy, Ketra L. Rice, Nisha Nataraj, Margaret M. Brown, Christopher R. Harper:
Mapping the complexity of suicide by combining participatory modeling and network science. ASONAM 2021: 339-342 - [c36]Junjiang Li, Till Köster, Philippe J. Giabbanelli:
Design and evaluation of update schemes to optimize asynchronous Cellular Automata with random or cyclic orders. DS-RT 2021: 1-8 - [c35]Alexander J. Freund, Philippe J. Giabbanelli:
The Necessity and Difficulty of Navigating Uncertainty to Develop an Individual-Level Computational Model. ICCS (6) 2021: 407-421 - [c34]Junjiang Li, Philippe J. Giabbanelli:
Identifying Synergistic Interventions to Address COVID-19 Using a Large Scale Agent-Based Model. ICCS (3) 2021: 655-662 - [c33]Philippe J. Giabbanelli, Piper J. Jackson:
How Do Teams of Novice Modelers Choose an Approach? An Iterated, Repeated Experiment in a First-Year Modeling Course. ICCS (6) 2021: 661-674 - [c32]Maciej K. Wozniak, Philippe J. Giabbanelli:
Comparing Implementations of Cellular Automata as Images: A Novel Approach to Verification by Combining Image Processing and Machine Learning. SIGSIM-PADS 2021: 13-25 - [c31]Junjiang Li, Philippe J. Giabbanelli, Till Köster:
Comparing the Effect of Code Optimizations on Simulation Runtime Across Synchronous Cellular Automata Models of HIV. WSC 2021: 1-12 - [c30]Samvel Mkhitaryan, Philippe J. Giabbanelli:
How Modeling Methods for Fuzzy Cognitive Mapping Can Benefit From Psychology Research. WSC 2021: 1-12 - [e2]Philippe J. Giabbanelli:
SIGSIM-PADS '21: SIGSIM Conference on Principles of Advanced Discrete Simulation, Virtual Event, USA, 31 May - 2 June, 2021. ACM 2021, ISBN 978-1-4503-8296-0 [contents] - [i2]Samvel Mkhitaryan, Philippe J. Giabbanelli, Maciej K. Wozniak, Gonzalo Nápoles, Nanne K. de Vries, Rik Crutzen:
FCMpy: A Python Module for Constructing and Analyzing Fuzzy Cognitive Maps. CoRR abs/2111.12749 (2021) - 2020
- [j22]Venkata Sai Pillutla, Andrew A. Tawfik, Philippe J. Giabbanelli:
Detecting the Depth and Progression of Learning in Massive Open Online Courses by Mining Discussion Data. Technol. Knowl. Learn. 25(4): 881-898 (2020) - [c29]Philippe J. Giabbanelli, Andrew A. Tawfik:
Reducing the Gap Between the Conceptual Models of Students and Experts Using Graph-Based Adaptive Instructional Systems. HCI (43) 2020: 538-556 - [c28]Philippe J. Giabbanelli, Joshua A. Devita, Till Köster, Jared A. Kohrt:
Optimizing Discrete Simulations of the Spread of HIV-1 to Handle Billions of Cells on a Workstation. SIGSIM-PADS 2020: 67-78 - [c27]Christopher W. H. Davis, Antonie J. Jetter, Philippe J. Giabbanelli:
Fuzzy Cognitive Maps in Agent Based Models: A Practicial Implementation Example. SpringSim 2020: 1-11 - [c26]Andrew Fisher, Bhisma Adhikari, Chao Zhai, Joshua E. Morgan, Vijay K. Mago, Philippe J. Giabbanelli:
Predicting The Resource Needs And Outcomes of Computationally Intensive Biological Simulations. SpringSim 2020: 1-12 - [c25]Ethan O. Grantham, Philippe J. Giabbanelli:
Creating Perceptual Uncertainty in Agent-Based Models with Social Interactions. SpringSim 2020: 1-12 - [c24]Christopher Vendome, Dhananjai M. Rao, Philippe J. Giabbanelli:
How do Modelers Code Artificial Societies? Investigating Practices and Quality of Netlogo Codes from Large Repositories. SpringSim 2020: 1-12 - [c23]Till Köster, Philippe J. Giabbanelli, Adelinde M. Uhrmacher:
Performance and Soundness of Simulation: A Case Study Based on a Cellular Automaton for In-Body Spread of HIV. WSC 2020: 2281-2292 - [e1]Jason Liu, Philippe J. Giabbanelli, Christopher D. Carothers:
Proceedings of the 2019 ACM SIGSIM Conference on Principles of Advanced Discrete Simulation, SIGSIM-PADS 2020, Miami, FL, USA, June 15-17, 2020. ACM 2020, ISBN 978-1-4503-7592-4 [contents]
2010 – 2019
- 2019
- [j21]Hendra Sandhi Firmansyah, Suhono H. Supangkat, Arry Akhmad Arman, Philippe J. Giabbanelli:
Identifying the Components and Interrelationships of Smart Cities in Indonesia: Supporting Policymaking via Fuzzy Cognitive Systems. IEEE Access 7: 46136-46151 (2019) - [j20]Venkata Sai Pillutla, Philippe J. Giabbanelli:
Iterative generation of insight from text collections through mutually reinforcing visualizations and fuzzy cognitive maps. Appl. Soft Comput. 76: 459-472 (2019) - [j19]Mannila Sandhu, C. Danielle Vinson, Vijay K. Mago, Philippe J. Giabbanelli:
From associations to sarcasm: Mining the shift of opinions regarding the Supreme Court on twitter. Online Soc. Networks Media 14 (2019) - [j18]Philippe J. Giabbanelli, Andrew A. Tawfik:
Overcoming the PBL Assessment Challenge: Design and Development of the Incremental Thesaurus for Assessing Causal Maps (ITACM). Technol. Knowl. Learn. 24(2): 161-168 (2019) - [j17]Philippe J. Giabbanelli, Magda Baniukiewicz:
Visual Analytics to Identify Temporal Patterns and Variability in Simulations from Cellular Automata. ACM Trans. Model. Comput. Simul. 29(1): 5:1-5:26 (2019) - [c22]Thrishma Reddy, Philippe J. Giabbanelli, Vijay K. Mago:
The Artificial Facilitator: Guiding Participants in Developing Causal Maps Using Voice-Activated Technologies. HCI (15) 2019: 111-129 - [c21]Mannila Sandhu, Philippe J. Giabbanelli, Vijay K. Mago:
From Social Media to Expert Reports: The Impact of Source Selection on Automatically Validating Complex Conceptual Models of Obesity. HCI (13) 2019: 434-452 - [c20]Philippe J. Giabbanelli, Michele Fattoruso, Max L. Norman:
CoFluences: Simulating the Spread of Social Influences via a Hybrid Agent-Based/Fuzzy Cognitive Maps Architecture. SIGSIM-PADS 2019: 71-82 - [c19]Philippe J. Giabbanelli, Cole Freeman, Joshua A. Devita, Nicholas Rosso, Zabrina L. Brumme:
Mechanisms for Cell-to-cell and Cell-free Spread of HIV-1 in Cellular Automata Models. SIGSIM-PADS 2019: 103-114 - [c18]Philippe J. Giabbanelli, Alexey A. Voinov, Brian Castellani, Petter Törnberg:
Ideal, Best, and Emerging Practices in Creating Artificial Societies. SpringSim 2019: 1-12 - [c17]Philippe J. Giabbanelli:
Solving Challenges at the Interface of Simulation and Big Data Using Machine Learning. WSC 2019: 572-583 - [c16]Christopher W. H. Davis, Philippe J. Giabbanelli, Antonie J. Jetter:
The Intersection of Agent Based Models and Fuzzy Cognitive Maps: A Review of an Emerging Hybrid Modeling Practice. WSC 2019: 1292-1303 - 2018
- [j16]Andrew A. Tawfik, Philippe J. Giabbanelli, Maureen Hogan, Fortunata Msilu, Anila Gill, Cindy S. York:
Effects of success v failure cases on learner-learner interaction. Comput. Educ. 118: 120-132 (2018) - [j15]Alexey A. Voinov, Karen E. Jenni, Steven Gray, Nagesh Kolagani, Pierre Glynn, Pierre Bommel, Christina Prell, Moira L. Zellner, Michael Paolisso, Rebecca Jordan, Eleanor Sterling, Laura Schmitt Olabisi, Philippe J. Giabbanelli, Zhanli Sun, Christophe Le Page, Sondoss El Sawah, Todd K. BenDor, Klaus Hubacek, Alex Smajgl:
Tools and methods in participatory modeling: Selecting the right tool for the job. Environ. Model. Softw. 109: 232-255 (2018) - [j14]Magda Baniukiewicz, Zachariah L. Dick, Philippe J. Giabbanelli:
Capturing the fast-food landscape in England using large-scale network analysis. EPJ Data Sci. 7(1): 39 (2018) - [c15]Vishrant K. Gupta, Philippe J. Giabbanelli, Andrew A. Tawfik:
An Online Environment to Compare Students' and Expert Solutions to Ill-Structured Problems. HCI (25) 2018: 286-307 - [c14]Eric A. Lavin, Philippe J. Giabbanelli, Andrew T. Stefanik, Steven A. Gray, Robert Arlinghaus:
Should we simulate mental models to assess whether they agree? SpringSim (ANSS) 2018: 6:1-6:12 - 2017
- [j13]Philippe J. Giabbanelli, Rik Crutzen:
Using Agent-Based Models to Develop Public Policy about Food Behaviours: Future Directions and Recommendations. Comput. Math. Methods Medicine 2017: 5742629:1-5742629:12 (2017) - [j12]Philippe J. Giabbanelli, Steven A. Gray, Payam Aminpour:
Combining fuzzy cognitive maps with agent-based modeling: Frameworks and pitfalls of a powerful hybrid modeling approach to understand human-environment interactions. Environ. Model. Softw. 95: 320-325 (2017) - [j11]Andrew A. Tawfik, Todd D. Reeves, Amy E. Stich, Anila Gill, Chenda Hong, Joseph McDade, Venkata Sai Pillutla, Xiaoshu Zhou, Philippe J. Giabbanelli:
The nature and level of learner-learner interaction in a chemistry massive open online course (MOOC). J. Comput. High. Educ. 29(3): 411-431 (2017) - [j10]Andrew A. Tawfik, Todd D. Reeves, Amy E. Stich, Anila Gill, Chenda Hong, Joseph McDade, Venkata Sai Pillutla, Xiaoshu Zhou, Philippe J. Giabbanelli:
Erratum to: The nature and level of learner-learner interaction in a chemistry massive open online course (MOOC). J. Comput. High. Educ. 29(3): 432-433 (2017) - [c13]Eric A. Lavin, Philippe J. Giabbanelli:
Analyzing and simplifying model uncertainty in fuzzy cognitive maps. WSC 2017: 1868-1879 - 2016
- [j9]Vijay Kumar Mago, Philippe J. Giabbanelli:
Special Issue on Intelligent Healthcare Systems. J. Intell. Syst. 25(1): 1-2 (2016) - [j8]Eugene Belyi, Philippe J. Giabbanelli, Indravadan Patel, Naga Harish Balabhadrapathruni, Aymen Ben Abdallah, Wedyan Hameed, Vijay Kumar Mago:
Combining association rule mining and network analysis for pharmacosurveillance. J. Supercomput. 72(5): 2014-2034 (2016) - [c12]Philippe J. Giabbanelli, Jean Adams, Venkata Sai Pillutla:
Feasibility and Framing of Interventions Based on Public Support: Leveraging Text Analytics for Policymakers. HCI (12) 2016: 188-200 - [c11]Philippe J. Giabbanelli, Guru Jagadeesh Babu, Magda Baniukiewicz:
A Novel Visualization Environment to Support Modelers in Analyzing Data Generated by Cellular Automata. HCI (15) 2016: 529-540 - [c10]Philippe J. Giabbanelli, Vijay Kumar Mago:
Teaching Computational Modeling in the Data Science Era. ICCS 2016: 1968-1977 - [c9]Tanner Verigin, Philippe J. Giabbanelli, Pål I. Davidsen:
Supporting a systems approach to healthy weight interventions in British Columbia by modeling weight and well-being. SpringSim (ANSS) 2016: 9 - 2015
- [j7]Philippe J. Giabbanelli, Rik Crutzen:
Supporting self-management of obesity using a novel game architecture. Health Informatics J. 21(3): 223-236 (2015) - [c8]Philippe J. Giabbanelli, Piper J. Jackson:
Using Visual Analytics to Support the Integration of Expert Knowledge in the Design of Medical Models and Simulations. ICCS 2015: 755-764 - [c7]Philippe J. Giabbanelli, Joseph G. Peters:
An Algebraic Approach to Combining Classifiers. ICCS 2015: 1545-1554 - [c6]Ela Rana, Philippe J. Giabbanelli, Naga H. Balabhadrapathruni, Xiaoyu Li, Vijay Kumar Mago:
Exploring the Relationship between Adherence to Treatment and Viral Load through a New Discrete Simulation Model of HIV Infectivity. SIGSIM-PADS 2015: 145-156 - [i1]Philippe J. Giabbanelli, Joseph G. Peters:
An Algebra to Merge Heterogeneous Classifiers. CoRR abs/1501.05141 (2015) - 2014
- [j6]Philippe J. Giabbanelli:
Modelling the spatial and social dynamics of insurgency. Secur. Informatics 3(1): 2 (2014) - [p1]Philippe J. Giabbanelli, Piper J. Jackson, Diane T. Finegood:
Modelling the Joint Effect of Social Determinants and Peers on Obesity Among Canadian Adults. Theories and Simulations of Complex Social Systems 2014: 145-160 - 2013
- [j5]Philippe J. Giabbanelli, Rik Crutzen:
An Agent-Based Social Network Model of Binge Drinking Among Dutch Adults. J. Artif. Soc. Soc. Simul. 16(2) (2013) - [c5]Philippe J. Giabbanelli, Penny Deck, Lisa Andres, Thecla Schiphorst, Diane T. Finegood:
Supporting a Participant-Centric Management of Obesity via a Self-improving Health Game. HCI (22) 2013: 189-196 - [c4]Simon F. Pratt, Philippe J. Giabbanelli, Jean-Sebastien Mercier:
Detecting unfolding crises with Visual Analytics and Conceptual Maps Emerging phenomena and big data. ISI 2013: 200-205 - 2012
- [j4]Philippe J. Giabbanelli, Thomas Torsney-Weir, Vijay Kumar Mago:
A fuzzy cognitive map of the psychosocial determinants of obesity. Appl. Soft Comput. 12(12): 3711-3724 (2012) - [j3]Philippe J. Giabbanelli, Azadeh Alimadad, Vahid Dabbaghian, Diane T. Finegood:
Modeling the influence of social networks and environment on energy balance and obesity. J. Comput. Sci. 3(1-2): 17-27 (2012) - [c3]Philippe J. Giabbanelli:
A Novel Framework for Complex Networks and Chronic Diseases. CompleNet 2012: 207-215 - [c2]Simon F. Pratt, Philippe J. Giabbanelli, Piper J. Jackson, Vijay Kumar Mago:
Rebel with many causes: A computational model of insurgency. ISI 2012: 90-95 - 2011
- [j2]Philippe J. Giabbanelli:
The Small-World Property in Networks Growing by Active Edges. Adv. Complex Syst. 14(6): 853-869 (2011) - [j1]