Flavio Villanustre

Research output

Research output per year 2014 2016 2025

• 9 Article
• 7 Conference contribution
• 6 Book
• 3 Chapter
• 4 More
  • 2 Software
  • 1 Foreword/postscript
  • 1 Editorial

Research output per year

Research output per year

Search results

• 2025

  Model Inversion Attacks and Prevention Tactics Using the HPCC Systems Platform

  Polisetty, A. B. A., Murthy, N. S., Shi, Y., Watanuki, H., Villanustre, F. & Foreman, R., 2025, 2025 IEEE 4th International Conference on AI in Cybersecurity, ICAIC 2025. Institute of Electrical and Electronics Engineers Inc., (2025 IEEE 4th International Conference on AI in Cybersecurity, ICAIC 2025).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • Model Inversion Attack 100%
  • Attackers 50%
  • Sensitive Attribute 50%
  • Target Machine 50%
  • Attack Model 50%

• Unsupervised feature selection and class labeling for credit card fraud

  Kennedy, R. K. L., Villanustre, F. & Khoshgoftaar, T. M., Dec 2025, In: Journal of Big Data. 12, 1, 111.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Feature Class 100%
  • Unsupervised Feature Selection 100%
  • Class Labeling 100%
  • Shapley Additive Explanations 60%
  • SHapley Additive exPlanation 60%
• 2024

  Synthesizing class labels for highly imbalanced credit card fraud detection data

  Kennedy, R. K. L., Villanustre, F., Khoshgoftaar, T. M. & Salekshahrezaee, Z., Dec 2024, In: Journal of Big Data. 11, 1, 38.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Credit Card Fraud Detection 100%
  • Detection Data 100%
  • Area Under the Precision-Recall Curve 33%
  • Labeled Instance 25%
  • Human Intervention 25%
  16 Scopus citations
• 2023

  Iterative cleaning and learning of big highly-imbalanced fraud data using unsupervised learning

  Kennedy, R. K. L., Salekshahrezaee, Z., Villanustre, F. & Khoshgoftaar, T. M., Dec 2023, In: Journal of Big Data. 10, 1, 106.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Medicare Fraud 100%
  • Method Performance 100%
  • Medicare 100%
  • Health Consequences 100%
  • Financial Implications 100%
• 2021

  Modeling and tracking Covid-19 cases using Big Data analytics on HPCC system platformm

  Villanustre, F., Chala, A., Dev, R., Xu, L., LexisNexis, J. S., Furht, B. & Khoshgoftaar, T., Dec 2021, In: Journal of Big Data. 8, 1, 33.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Corona 100%
  • Causal Models 66%
  • Travel Pattern 55%
  • Sliding Window 55%
  • Big Data Technology 55%
• 2020

  Survey on RNN and CRF models for de-identification of medical free text

  Leevy, J., Khoshgoftaar, T. & Villanustre, F., 2020, In: Journal of Big Data.

  Research output: Contribution to journal › Article › peer-review

  Open Access
  35 Scopus citations
• 2019

  Massively Scalable Parallel KMeans on the HPCC Systems Platform

  Xu, L., Apon, A., Villanustre, F., Dev, R. & Chala, A., Dec 2019, CSITSS 2019 - 2019 4th International Conference on Computational Systems and Information Technology for Sustainable Solution, Proceedings. Institute of Electrical and Electronics Engineers Inc., 9031047. (CSITSS 2019 - 2019 4th International Conference on Computational Systems and Information Technology for Sustainable Solution, Proceedings).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • Lloyd Algorithm 100%
  • Distributed Computing Environment 100%
  • Learning Practitioner 100%
  • Parallelism 100%
  • Scalabilty 66%

• Random forest implementation and optimization for Big Data analytics on LexisNexis’s high performance computing cluster platform

  Herrera, V. M., Khoshgoftaar, T. M., Villanustre, F. & Furht, B., Dec 1 2019, In: Journal of Big Data. 6, 1, 68.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Partition Process 100%
  • Recursive Partitioning 100%
  • Partitioning Algorithms 49%
  • Random Forest Algorithm 49%
  • Distributed Machine Learning 49%
• 2018

  Data Skewer Profile

  Villanustre, F. (Other), 2018

  Research output: Non-textual form › Software

  • Skewer 100%
  • Data Skew 100%
  • Single Node 50%
  • Execution Graphs 50%

• Roxie Software

  Villanustre, F. (Photographer), Jun 10 2018

  Research output: Non-textual form › Software

  • T-system 100%
• 2017

  Large-scale distributed L-BFGS

  Najafabadi, M. M., Koshgoftaar, T. M., Villanustre, F. & Holt, J., 2017, In: Journal of Big Data. 4, 1, 22.

  Research output: Contribution to journal › Article › peer-review

  • Limited Memory 100%
  • Broyden-Fletcher-Goldfarb-Shanno 100%
  • Broyden-Fletcher-Goldfarb-Shanno Algorithm 66%
  • Parameter Estimation 50%
  • Single Machine 50%
  28 Scopus citations

• Preface

  Villanustre, F. & Chala, A., Jan 17 2017, In: FTC 2016 - Proceedings of Future Technologies Conference. p. 4 1 p., 7821584.

  Research output: Contribution to journal › Editorial

• Trilogy: Data placement to improve performance and robustness of cloud computing

  Hsu, C.-J., Freeh, V. W. & Villanustre, F., 2017, In: IEEE Software.

  Research output: Contribution to journal › Article › peer-review

  • Cloud Computing 100%
  • Performance Improvement 100%
  • Underutilization 100%
  • Data Placement 100%
  • Data Replication 100%
  4 Scopus citations
• 2016

  Big data technologies and applications

  Furht, B. & Villanustre, F., Jan 1 2016, Springer International Publishing. 400 p.

  Research output: Book/Report › Book › peer-review

  • Parallel Data 100%
  • Business Managers 100%
  • Big Data Techniques 100%
  • Spread Modelling 100%
  • Total Solution 100%

• Big Data Technologies and Applications

  Furht, B. & Villanustre, F., 2016

  Research output: Book/Report › Book › peer-review

• Deep Learning Techniques in Big Data Analytics. In: Big Data Technologies and Applications

  Najafabadi, M. M., Villanustre, F., Koshgoftaar, T. M., Seliya, N., Wald, R. & Muharemagc, E., 2016

  Research output: Book/Report › Book › peer-review
  13 Scopus citations

• Graph processing with massive datasets: A kel primer

  Bayliss, D. & Villanustre, F., Jan 1 2016, Big Data Technologies and Applications. Springer International Publishing, p. 307-328 22 p.

  Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

  • Massive Datasets 100%
  • Social Network 100%
  • Mathematical Foundations 50%
  • Management Application 50%
  • Modern Computer 50%

• HPCC systems for cyber security analytics

  Villanustre, F. & Renzi, M., Jan 1 2016, Big Data Technologies and Applications. Springer International Publishing, p. 331-339 9 p.

  Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

  • Security Analytics 100%
  • Background Noise 100%
  • IDS Alerts 50%
  • Firewall Logs 50%
  • Event Log 50%

• Introduction to Big Data. In: Big Data Technologies and Applications

  Furht, B. & Villanustre, F., 2016

  Research output: Book/Report › Book › peer-review
  43 Scopus citations

• Modeling Ebola Spread and Using HPCC/KEL System. In: Big Data Technologies and Applications.

  Shaw, J., Villanustre, F., Agarwal, A. & Jain, A., 2016

  Research output: Book/Report › Book › peer-review
  2 Scopus citations

• Preface

  Furht, B. & Villanustre, F., Jan 1 2016, Big Data Technologies and Applications. Springer International Publishing, p. v-vi

  Research output: Chapter in Book/Report/Conference proceeding › Foreword/postscript

• Social Network Analytics: Hidden and Complex Fraud Schemes. In: Big Data Technologies and Applications.

  Villanustre, F. & Furht, B., 2016

  Research output: Book/Report › Book › peer-review
  3 Scopus citations

• Unsupervised learning and image classification in high performance computing cluster

  Itauma, I., Aslan, M. S., Chen, X. W. & Villanustre, F., Jan 1 2016, Big Data Technologies and Applications. Springer International Publishing, p. 387-400 14 p.

  Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

  • High-performance Computing Cluster 100%
  • Labeled Data 100%
  • Image Classification 100%
  • Unsupervised Learning 100%
  • Learning Classification 100%

• Unsupervised learning and image classification in high performance computing cluster

  Itauma, I., Aslan, M. S., Villanustre, F. & Chen, X. W., Mar 2 2016, Proceedings - 2015 IEEE 14th International Conference on Machine Learning and Applications, ICMLA 2015. Institute of Electrical and Electronics Engineers Inc., p. 576-581 6 p. 7424378. (Proceedings - 2015 IEEE 14th International Conference on Machine Learning and Applications, ICMLA 2015).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • Unsupervised Learning 100%
  • Learning Classification 100%
  • Classification Accuracy 100%
  • Object Classification 75%
  • AR Database 50%
• 2015

  Deep learning applications and challenges in big data analytics

  Najafabadi, M. M., Villanustre, F., Khoshgoftaar, T. M., Seliya, N., Wald, R. & Muharemagic, E., Dec 1 2015, In: Journal of Big Data. 2, 1, 1.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Deep Learning Applications 100%
  • Learning Challenges 100%
  • Indexing Data 20%
  • Cybersecurity 20%
  • Learning Research 20%

• Dynamic provisioning of data intensive computing middleware frameworks: A case study

  Ngo, L. B., Villanustre, F., Payne, M. E., Taylor, R. & Apon, A. W., Jun 16 2015, SCREAM 2015 - Proceedings of the 2015 Workshop on the Science of Cyberinfrastructure: Research, Experience, Applications and Models, Part of HPDC 2015. Association for Computing Machinery, Inc, p. 3-10 8 p. (SCREAM 2015 - Proceedings of the 2015 Workshop on the Science of Cyberinfrastructure: Research, Experience, Applications and Models, Part of HPDC 2015).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • Data-intensive Computing 100%
  • Dynamic Provisioning 100%
  • Middleware Framework 100%
  • High-performance Software 66%
  • Large-scale Data 33%

• Industrial Big Data Analytics: Lessons from the Trenches

  Villanustre, F., Jul 23 2015, Proceedings - 1st International Workshop on Big Data Software Engineering, BIGDSE 2015. Institute of Electrical and Electronics Engineers Inc., p. 1-3 3 p. 7165990. (Proceedings - 1st International Workshop on Big Data Software Engineering, BIGDSE 2015).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • Industrial Big Data Analytics 100%
  • Data Analytics 100%
  • Key Disciplines 50%
  • New Breed 50%
  • Core Business 50%
• 2014

  Managing the academic data lifecycle: A case study of HPCC

  Payne, M. E., Ngo, L. B., Villanustre, F. & Apon, A. W., 2014, Proceedings - 2014 IEEE International Conference on Big Data, IEEE Big Data 2014. Chang, W., Huan, J., Cercone, N., Pyne, S., Honavar, V., Lin, J., Hu, X. T., Aggarwal, C., Mobasher, B., Pei, J. & Nambiar, R. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 22-30 9 p. 7004348. (Proceedings - 2014 IEEE International Conference on Big Data, IEEE Big Data 2014).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • Data Life Cycle 100%
  • Academic Data 100%
  • Data Lifecycle 100%
  • Large number of Sources 50%
  • Analytical Techniques 50%

• Using feature selection and classification to build effective and efficient firewalls

  Wald, R., Villanustre, F., Khoshgoftaar, T. M., Zuech, R., Robinson, J. & Muharemagic, E., Feb 27 2014, Proceedings of the 2014 IEEE 15th International Conference on Information Reuse and Integration, IEEE IRI 2014. Bertino, E., Thuraisingham, B., Liu, L. & Joshi, J. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 850-854 5 p. 7051979. (Proceedings of the 2014 IEEE 15th International Conference on Information Reuse and Integration, IEEE IRI 2014).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • Firewall 100%
  • Modern Network 20%
  • Classification Learner 20%
  • Computationally Expensive 20%
  • Communication Protocol 20%