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List of Journal publications:

  1. Alevizos E., Artikis A. and Paliouras G.
    Event Forecasting with Pattern Markov Chains
    To appear in the Proceedings of Distributed and Event-Based Systems (DEBS) 2017
  2. Alexander Artikis, Nikos Katzouris, Ivo Correia, Chris Baber, Natan Morar, Inna Skarbovsky, Fabiana Fournier, Georgios Paliouras
    Industry Paper: A Prototype for Credit Card Fraud Management
    To appear in the 11th ACM International Conference on Distributed and Event-Based Systems, 2017
  3. Elias Alevizos, Anastasios Skarlatidis, Alexander Artikis, George Paliouras
    Probabilistic Complex Event Recognition: A Survey
    Submitted to ACM Surveys
  4. Mohajerin Esfahani, P., Sutter, T., Kuhn, D. and Lygeros, J.
    From Infinite to Finite Programs: Explicit Error Bounds with Applications to Approximate Dynamic Programming.
    To be submitted to a journal soon!
  5. A. Kibangou, A. Artikis, E. Michelioudakis, G. Paliouras, M. Schmitt, J. Lygeros, C. Baber, N. Morar, F. Fabiana, and I. Skarbovsky
    An integrated and scalable platform for proactive event-driven traffic management
    To be submitted to a journal soon!
  6. A. Ladino Lopez, A. Kibangou, H. Fourati, and C. Canudas de Wit
    A real time forecasting tool for dynamic travel time from clustered time series
    Submitted to Transportation research Part C
  7. S. Grammatico, X. Zhang, K. Margellos, P. Goulart, and J. Lygeros
    A Scenario Approach for Non-Convex Control Design
    IEEE Transactions on Automatic Control, vol. 61, no. 2, pp. 334 - 345, February 2016
  8. K. Margellos, M. Prandini, and J. Lygeros
    On the Connection Between Compression Learning and Scenario Based Single-Stage and Cascading Optimization Problems
    IEEE Transactions on Automatic Control, vol. 60, no. 10, pp. 2716 - 2721, October 2015
  9. X. Zhang, S. Grammatico, G. Schildbach, P.J. Goulart, and J. Lygeros
    On the Sample Size of Random Convex Programs with Structured Dependence on the Uncertainty
    Automatica, vol. 60, pp. 182-188, October 2015.
  10. Morar, N., Baber, C., Starke, S. and Fournier, F.
    Missing Key Information: How Automation Failure can be Misinterpreted.
    Human Factors and Ergonomics Society Annual Meeting, Vol. 59, No. 1, pp. 200-204, September 2015.
  11. Katzouris N., Artikis A., Paliouras G.
    Incremental Learning of Event Definitions with Inductive Logic Programming
    Machine Learning Journal, vol. 100, pp. 555-585, September 2015
  12. S. Starke, C. Baber, N. Cooke, A. Howes and Natan Morar
    Making sense of complex environments
    The Ergonomist, No. 539, May 2015
  13. Skarlatidis A., Paliouras G., Artikis A. and Vouros G.
    Probabilistic Event Calculus for Event Recognition
    ACM Transactions on Computational Logic, vol. 16, pp. 1-37, March 2015.
  14. Artikis A., Sergot M. and Paliouras G.
    An Event Calculus for Event Recognition
    IEEE Transactions on Knowledge and Data Engineering (TKDE), vol. 27, pp. 895-908, September 2014
  15. Artikis A., Baber C., Bizarro P., Canudas-de-Wit C., Etzion O., Fournier F., Goulart P., Howes A., Lygeros J., Paliouras G., Schuster A. and Sharfman I.
    Scalable Proactive Event-Driven Decision-Making
    IEEE Technology & Society Magazine, vol. 33, pp. 35-41, September 2014.
  16. Artikis A., Gal A., Kalogeraki V., Weidlich M.
    Event Recognition Challenges and Techniques: Guest Editors' Introduction
    ACM Transactions on Internet Technology, vol. 14, pp. 1-9, July 2014.

List of Conference publications:

  1. A. Artikis, N. Katzouris, I. Correia, C. Baber, N. Morar, I. Skarbovsky, F. Fournier and G. Paliouras.
    A Prototype for Credit Card Fraud Management
    Submitted to the industry track of DEBS 2017
  2. Schmitt M., Ramesh, C., Goulart J., & Lygeros, J.
    Convex, Monotone Systems are Optimally Operated at Steady-State
    American Control Conference, Seattle, USA, May 2017
  3. Michelioudakis, E., Artikis, A., Paliouras, G.
    Online Structure Learning for Traffic Management
    International Conference on Inductive Logic Programming, London, England, September 2016.
  4. Michelioudakis, E., Skarlatidis, A., Paliouras, G., Artikis, A.
    OSLa: Online Structure Learning using Background Knowledge Axiomatization
    European Conference of Machine Learning and Principles and Practice of Knowledge Discovery, pp. 232-247, Riva del Garda, Italy, September 2016.
  5. A. Ladino, A. Kibangou, H. Fourati, C. Canudas de Wit
    Travel time forecasting from clustered time series via optimal fusion strategy
    European Control Conference, pp. 2234-2239, Aalborg, Denmark, June 2016.
  6. Chithrupa Ramesh, Marius Schmitt and John Lygeros
    Distributed Learning in the Presence of Disturbances
    European Control Conference, pp. 257-262, Aalborg, Denmark, June 2016.
  7. Starke, S. and Baber, C.
    The computer-human duet: interaction with a gaze-based recommender system when making decisions based on multiple information sources
    Human Factors in Complex Systems, Nottingham, UK, June 2016.
  8. A.B. Hempel, P.J. Goulart and J. Lygeros
    A necessary optimality condition for constrained optimal control of hybrid systems
    IEEE 54th Annual Conference on Decision and Control (CDC), pp. 5272 - 5277, Osaka, Japan, December 2015
  9. Enrico Lovisari, Carlos Canudas de Wit and Alain Y. Kibangou
    Optimal Sensor Placement in Road Transportation Networks using Virtual Variances.
    54th IEEE Conference on Decision and Control, Osaka, Japan, December 2015
  10. Enrico Lovisari, Carlos Canudas de Wit and Alain Y. Kibangou
    Data fusion algorithms for Density Reconstruction in Road Transportation Networks.
    54th IEEE Conference on Decision and Control, Osaka, Japan, December 2015.
  11. P. Grandinetti, F. Garin, C. Canudas de Wit.
    Towards scalable optimal traffic control
    54th IEEE Conference on Decision and Control, Osaka, Japan, December 2015
  12. Gabel, Moshe and Keren, Daniel and Schuster, Assaf
    Monitoring Least Squares Models of Distributed Streams
    21st ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Sydney, NSW, Australia, August, 2015
  13. Marius Schmitt, Paul Goulart, Angelos Georghiou and John Lygeros
    Flow-maximizing equilibria of the Cell Transmission Model
    European Control Conference, pp. 2634-2639, Linz, Austria, July 2015.
  14. I. Kolchinsky, T. Sharfman, A. Schuster
    Lazy Evaluation Methods for Detecting Complex Events
    The 9th ACM International Conference on Distributed Event-Based Systems (DEBS). Oslo, July 2015
    Best research paper award!
  15. Grandinetti, P. and Canudas de Wit, C. and Garin, F.
    An efficient one step ahead optimal control for urban signalized traffic networks based on an averaged Cell Transmission Model
    14th IEEE European Control Conference (ECC), Linz, Austria, July 2015
  16. Correia, I., Fournier, F., & Skarbovsky, I.
    Industry Paper: The Uncertain Case of Credit Card Fraud Detection
    The 9th ACM International Conference on Distributed Event-Based Systems (DEBS), Oslo, Norway, June 2015
  17. S. Starke, N. Cooke, A. Howes, N. Morarm and C. Baber
    Visual Sampling in a Road Traffic Management Control Room Task
    International Conference on Ergonomics & Human Factors 2015, Daventry, Northamptonshire, UK, 13-16, April 2015
    Best conference paper award!
  18. Chen, X., Bailly, G., Brumby, D. P., Oulasvirta, A. & Howes, A.
    The Emergence of Interactive Behaviour: A model of Rational Menu Search
    33nd annual ACM conference on Human factors in computing systems (CHI), Seoul, Republic of Korea, April, 2015
  19. Sandra D. Starke, Neil Cooke, Andrew Howes, Natan S. Morar & Chris Baber
    Visual sampling in a road traffic management control room task
    Contemporary Ergonomics 2015
    CRC Press
  20. Gabel M., Sato K., Keren D. Matsuoka S. and Schuster A.
    Latent Fault Detection With Unbalanced Workloads
    Event Processing, Forecasting and Decision-Making in the Big Data Era (EPForDM), EDBT 2015 Workshop.
  21. Fournier F., Kofman A., Skarbovsky I. and Skarlatidis A.
    Extending Event-Driven Architecture for Proactive Systems
    Event Processing, Forecasting and Decision-Making in the Big Data Era (EPForDM), EDBT 2015 Workshop.
  22. Alevizos E., Skarlatidis A., Artikis A. and Paliouras G.
    Complex Event Recognition under Uncertainty: A Short Survey
    Event Processing, Forecasting and Decision-Making in the Big Data Era (EPForDM), EDBT 2015 Workshop.
  23. Alevizos E. and Artikis A.
    Being logical or going with the flow? A comparison of Complex Event Processing systems
    8th Hellenic Conference on Artificial Intelligence, pp. 460-474, 2014.