1. Article › Scientific › Peer-reviewed
  2. Autoregressive Moving Average Graph Filtering

    Isufi, E., Loukas, A., Simonetto, A. & Leus, G., 2017, In : IEEE Transactions on Signal Processing. 65, 2, p. 274-288 15 p., 7581108.

    Research output: Contribution to journalArticleScientificpeer-review

  3. Distributed autoregressive moving average graph filters

    Loukas, A., Simonetto, A. & Leus, G., 2015, In : IEEE Signal Processing Letters. 22, 11, p. 1931-1935 5 p.

    Research output: Contribution to journalArticleScientificpeer-review

  4. Filtering Random Graph Processes over Random Time-Varying Graphs

    Isufi, E., Loukas, A., Simonetto, A. & Leus, G., 18 May 2017, In : IEEE Transactions on Signal Processing. 65, 16, p. 4406-4421 16 p., 7931690.

    Research output: Contribution to journalArticleScientificpeer-review

  5. Conference contribution › Scientific › Peer-reviewed
  6. Autoregressive Moving Average Graph Filters a Stable Distributed Implementation

    Isufi, E., Loukas, A. & Leus, G., 2017, 2017 IEEE International Conference on Acoustics, Speech, and Signal Processing - Proceedings. Piscataway, NJ: IEEE, p. 4119-4123 5 p. 7952931

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

  7. Fairness for all; rate allocation for mobile wireless networks

    Loukas, A., Woehrle, M., Zuñiga Zamalloa, MA. & Langendoen, KG., 2013, Proceedings 2013 IEEE 10th International Conference on Mobile Ad-Hoc and Sensor Systems. O'Connor, L. (ed.). Los Alamitos, CA, USA: IEEE Society, p. 154-162 9 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

  8. Graph scale-space theory for distributed peak and pit identification

    Loukas, A., Cattani, M., Zuniga, M. & Gao, J., 13 Apr 2015, IPSN '15 : Proceedings of the 14th International Conference on Information Processing in Sensor Networks . New York, NY: Association for Computing Machinery (ACM), p. 118-129 12 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

  9. Lightweight Neighborhood Cardinality Estimation in Dynamic Wireless Networks

    Cattani, M., Zuniga, M., Loukas, A. & Langendoen, K., 2014, IPSN'14: Proceedings of the 13th international symposium on Information processing in sensor networks. ACM/IEEE, p. 179-189 11 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

  10. On Distributed Computation of Information Potentials

    Loukas, A., Woehrle, M., Glatz, PM. & Langendoen, KG., 2012, 8th ACM International Workshop on Foundations of Mobile Computing. Kuhn, F. & Newport, CC. (eds.). NY, USA: Association for Computing Machinery (ACM), p. 1-10 10 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

  11. On mining sensor network software repositories

    Loukas, A., Woehrle, M. & Langendoen, KG., 2011, Proceedings 2nd Int. Workshop on Software Engineering for Sensor Network Applications. Geihs, K. & Römer, K. (eds.). New York, NY, USA: Association for Computing Machinery (ACM), p. 25-30 6 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

  12. Separable Autoregressive Moving Average Graph-Temporal Filters

    Isufi, E., Loukas, A., Simonetto, A. & Leus, G., 1 Dec 2016, 2016 24th European Signal Processing Conference (EUSIPCO). Piscataway: IEEE, p. 200-204 5 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

  13. Staffetta: Smart Duty-Cycling for Opportunistic Data Collection

    Cattani, M., Loukas, A., Zimmerling, M., Zuñiga Zamalloa, M. & Langendoen, K. G., 2016, Proceedings of the 14th ACM Conference on Embedded Network Sensor Systems, SenSys 2016. New York: Association for Computing Machinery (ACM), p. 56-69 14 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

  14. Stochastic graph filtering on time-varying graphs

    Isufi, E., Simonetto, A., Loukas, A. & Leus, G., 21 Jan 2016, Proceedings of the 2015 IEEE 6th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing. Richard, C. & Gini, F. (eds.). Piscataway, NJ, USA: IEEE Society, p. 89-92 4 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

  15. Sybil-Resistant Meta Strategies for the Forwarder's Dilemma

    Durmus, Y., Loukas, A., Langendoen, K. & Onur, E., 1 Sep 2014, 2014 IEEE Eighth International Conference on Self-Adaptive and Self-Organizing Systems. Bilof, R. (ed.). Piscataway, NJ: IEEE, p. 90-99 10 p. (SASO).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

  16. Think globally, act locally: On the reshaping of information landscapes

    Loukas, A., Zuñiga Zamalloa, MA., Woehrle, M., Cattani, M. & Langendoen, KG., 2013, Proceedings 12th International Conference on Information Processing in Sensor Networks - Part of CPSWeek 2013. Abdelzaher, T. (ed.). New York, NY, USA: Association for Computing Machinery (ACM), p. 265-276 12 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

  17. Dissertation (TU Delft) › Scientific
  18. Distributed Graph Filters

    Loukas, A., 2015, 139 p.

    Research output: ThesisDissertation (TU Delft)Scientific

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