Professorship Jung A.

Organisational unit: Research group

Research outputs

  1. 2019
  2. Published

    Short-Term Prediction of Electricity Outages Caused by Convective Storms

    Tervo, R., Karjalainen, J. & Jung, A., 1 Nov 2019, In : IEEE Transactions on Geoscience and Remote Sensing. 57, 11, p. 8618-8626 9 p., 8751131.

    Research output: Contribution to journalArticleScientificpeer-review

  3. Published

    Outlier Detection from Non-Smooth Sensor Data

    Huuhtanen, T., Ambos, H. & Jung, A., 5 Sep 2019, 27th European Signal Processing Conference (EUSIPCO). IEEE, p. 1-5 5 p.

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

  4. Published

    Localized Linear Regression in Networked Data

    Jung, A. & Tran, N., 1 Jul 2019, In : IEEE Signal Processing Letters. 26, 7, p. 1090-1094 5 p., 8721536.

    Research output: Contribution to journalArticleScientificpeer-review

  5. Published

    Graph Signal Sampling via Reinforcement Learning

    Abramenko, O. & Jung, A., 1 May 2019, 2019 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 - Proceedings. IEEE, p. 3077-3081 5 p. 8683181. (IEEE International Conference on Acoustics Speech and Signal Processing).

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

  6. Published

    Sparse Subspace Clustering for Evolving Data Streams

    Sui, J., Liu, Z., Liu, L., Jung, A., Liu, T., Peng, B. & Li, X., 1 May 2019, 2019 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 - Proceedings. IEEE, p. 7455-7459 5 p. 8683205. (IEEE International Conference on Acoustics Speech and Signal Processing).

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

  7. Published

    Automating Root Cause Analysis via Machine Learning in Agile Software Testing Environments

    Kahles, J., Torronen, J., Huuhtanen, T. & Jung, A., 1 Apr 2019, Proceedings - 2019 IEEE 12th International Conference on Software Testing, Verification and Validation, ICST 2019. Institute of Electrical and Electronics Engineers, p. 379-390 12 p. 8730163

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

  8. Published

    The Actor-Dueling-Critic Method for Reinforcement Learning

    Wu, M., Gao, Y., Jung, A., Zhang, Q. & Du, S., 1 Apr 2019, In : Sensors (Basel, Switzerland). 19, 7, p. 1-20 20 p., 1547.

    Research output: Contribution to journalArticleScientificpeer-review

  9. Published

    Classifying Big Data over Networks Via the Logistic Network Lasso

    Ambos, H., Tran, N. & Jung, A., 19 Feb 2019, Conference Record of the 52nd Asilomar Conference on Signals, Systems and Computers, ACSSC 2018. Matthews, M. B. (ed.). Vol. 2018-October. p. 855-858 4 p. 8645260

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

  10. Published

    Analysis of Network Lasso for Semi-Supervised Regression

    Jung, A. & Vesselinova, N., 2019, Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics (AISTATS) 2019, Naha, Okinawa, Japan. p. 380-387 (Proceedings of Machine Learning Research; vol. 89).

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

  11. Published

    Classifying Process Instances Using Recurrent Neural Networks

    Hinkka, M., Lehto, T., Heljanko, K. & Jung, A., 2019, Business Process Management Workshops - BPM 2018 International Workshops, Revised Papers. Daniel, F., Sheng, Q. Z. & Motahari, H. (eds.). Springer Verlag, p. 313-324 12 p. (Lecture Notes in Business Information Processing; vol. 342).

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

  12. E-pub ahead of print

    Semi-Supervised Learning in Network-Structured Data via Total Variation Minimization

    Jung, A., 2019.

    Research output: Contribution to conferencePaperScientificpeer-review

  13. 2018
  14. Published

    On the sample complexity of graphical model selection from non-stationary samples

    Tran, N. Q. & Jung, A., 10 Sep 2018, 2018 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2018 - Proceedings. Institute of Electrical and Electronics Engineers, Vol. 2018-April. p. 6314-6317 4 p. 8462689

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

  15. Published

    The network nullspace property for compressed sensing of big data over networks

    Hulsebos, M. & Jung, A., 10 Sep 2018, 2018 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2018 - Proceedings. Institute of Electrical and Electronics Engineers, Vol. 2018-April. p. 4549-4553 5 p. 8462504. (Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing).

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

  16. Published

    Dynamic Clustering Scheme for Evolving Data Streams Based on Improved STRAP

    Sui, J., Liu, Z., Jung, A., Liu, L. & Li, X., 7 Sep 2018, In : IEEE Access. 6, p. 46157-46166 10 p.

    Research output: Contribution to journalArticleScientificpeer-review

  17. Published

    A Network Compatibility Condition for Compressed Sensing over Complex Networks

    Tran, N., Ambos, H. & Jung, A., 29 Aug 2018, 2018 IEEE Statistical Signal Processing Workshop, SSP 2018. Institute of Electrical and Electronics Engineers, p. 50-54 5 p. 8450811

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

  18. Published

    Network Intrusion Detection Using Flow Statistics

    Atli, B. G., Miche, Y. & Jung, A., 29 Aug 2018, 2018 IEEE Statistical Signal Processing Workshop, SSP 2018. Institute of Electrical and Electronics Engineers, p. 70-74 5 p. 8450709

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

  19. Published

    Predicting Electricity Outages Caused by Convective Storms

    Tervo, R., Karjalainen, J. & Jung, A., 17 Aug 2018, 2018 IEEE Data Science Workshop, DSW 2018 - Proceedings. Institute of Electrical and Electronics Engineers, p. 145-149 5 p. 8439906

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

  20. Published

    Predictive Maintenance of Photovoltaic Panels via Deep Learning

    Huuhtanen, T. & Jung, A., 17 Aug 2018, 2018 IEEE Data Science Workshop, DSW 2018 - Proceedings. Institute of Electrical and Electronics Engineers, p. 66-70 5 p. 8439898

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

  21. Published

    On the Complexity of Sparse Label Propagation

    Jung, A., 10 Jul 2018, In : Frontiers in Applied Mathematics and Statistics. 4, p. 1-7 22.

    Research output: Contribution to journalArticleScientificpeer-review

  22. Published

    Recovery conditions and sampling strategies for network Lasso

    Mara, A. & Jung, A., 10 Apr 2018, Conference Record of 51st Asilomar Conference on Signals, Systems and Computers, ACSSC 2017. Matthews, M. B. (ed.). Institute of Electrical and Electronics Engineers, Vol. 2017-October. p. 405-409 5 p. 8335369. (Conference record of the Asilomar Conference on Signals, Systems & Computers).

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

  23. Published

    Domain Adaptation for Resume Classification Using Convolutional Neural Networks

    Sayfullina, L., Malmi, E., Liao, Y. & Jung, A., 2018, Analysis of Images, Social Networks and Texts: 6th International Conference, AIST 2017, Moscow, Russia, July 27--29, 2017, Revised Selected Papers. van der Aalst, W. M. P., Ignatov, D. I., Khachay, M., Kuznetsov, S. O., Lempitsky, V., Lomazova, I. A., Loukachevitch, N., Napoli, A., Panchenko, A., Pardalos, P. M., Savchenko, A. V. & Wasserman, S. (eds.). Cham: Springer International Publishing AG, p. 82-93 12 p. (Lecture Notes in Computer Science; vol. 10716).

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

  24. Published

    Structural feature selection for event logs

    Hinkka, M., Lehto, T., Heljanko, K. & Jung, A., 2018, Business Process Management Workshops - BPM 2017 International Workshops, Revised Papers. Springer Verlag, p. 20-35 16 p. (Lecture Notes in Business Information Processing; vol. 308).

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

  25. Published

    When Is Network Lasso Accurate?

    Jung, A., Tran Quang, N. & Mara, A., 2018, In : Frontiers in Applied Mathematics and Statistics. 3, p. 1-11 28.

    Research output: Contribution to journalArticleScientificpeer-review

  26. 2017
  27. Published

    A pragmatic android malware detection procedure

    Palumbo, P., Sayfullina, L., Komashinskiy, D., Eirola, E. & Karhunen, J., 1 Sep 2017, In : Computers and Security. 70, p. 689-701 13 p.

    Research output: Contribution to journalArticleScientificpeer-review

  28. Published

    Random walk sampling for big data over networks

    Basirian, S. & Jung, A., 1 Sep 2017, 2017 12th International Conference on Sampling Theory and Applications, SampTA 2017. Institute of Electrical and Electronics Engineers, p. 427-431 5 p. 8024453

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

  29. Published

    The network nullspace property for compressed sensing over networks

    Jung, A., Heimowitz, A. & Eldar, Y. C., 1 Sep 2017, 2017 12th International Conference on Sampling Theory and Applications, SampTA 2017. Institute of Electrical and Electronics Engineers, p. 644-648 5 p. 8024392

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

  30. Published

    Learning conditional independence structure for high-dimensional uncorrelated vector processes

    Quang, N. T. & Jung, A., 16 Jun 2017, 2017 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2017 - Proceedings. Institute of Electrical and Electronics Engineers, p. 5920-5924 5 p. 7953292

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

  31. Published

    Smooth graph signal recovery via efficient Laplacian solvers

    Eslamlou, G. B., Jung, A. & Goertz, N., 16 Jun 2017, 2017 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2017 - Proceedings. Institute of Electrical and Electronics Engineers, p. 5915-5919 5 p. 7953291

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

  32. Published

    Efficient Graph Signal Recovery over Big Networks

    Hannak, G., Berger, P., Matz, G. & Jung, A., 1 Mar 2017, Conference Record of the 50th Asilomar Conference on Signals, Systems and Computers, ACSSC 2016. p. 1839-1843 5 p. 7869702. (Conference Record of the Asilomar Conference on Signals Systems and Computers).

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

  33. Published

    A Fixed-Point of View on Gradient Methods for Big Data

    Jung, A., 2017, In : Frontiers in Applied Mathematics and Statistics. 3, p. 1-11 11 p.

    Research output: Contribution to journalArticleScientificpeer-review

  34. Published

    When is Network Lasso Accurate: The Vector Case

    Tran Quang, N., Basirian Jahromi, S. & Jung, A., 2017. 5 p.

    Research output: Contribution to conferencePaperProfessional

  35. 2016
  36. Published

    Scalable graph signal recovery for big data over networks

    Jung, A., Berger, P., Hannak, G. & Matz, G., 9 Aug 2016, SPAWC 2016 - 17th IEEE International Workshop on Signal Processing Advances in Wireless Communications. Institute of Electrical and Electronics Engineers, Vol. 2016-August. 6 p. 7536869

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

  37. Published

    DynamicDFEP: A Distributed edge partitioning approach for large dynamic graphs

    Sakouhi, C., Aridhi, S., Guerrieri, A., Sassi, S. & Montresor, A., 11 Jul 2016, Proceedings of the 20th International Database Engineering and Applications Symposium, IDEAS 2016. Vol. 11-13-July-2016. p. 142-147 6 p.

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

  38. Published

    Distributed k-core decomposition and maintenance in large dynamic graphs

    Aridhi, S., Brugnara, M., Montresor, A. & Velegrakis, Y., 13 Jun 2016, DEBS 2016 - Proceedings of the 10th ACM International Conference on Distributed and Event-Based Systems. p. 161-168 8 p.

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

  39. Published

    BLADYG: A novel block-centric framework for the analysis of large dynamic graphs

    Aridhi, S., Montresor, A. & Velegrakis, Y., 31 May 2016, HPGP 2016 - Proceedings of the ACM Workshop on High Performance Graph Processing, Co-located with HPDC 2016. p. 39-42 4 p.

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

  40. Published

    Graph signal recovery from incomplete and noisy information using approximate message passing

    Eslamlou, G. B., Jung, A., Goertz, N. & Fereydooni, M., 18 May 2016, ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. Institute of Electrical and Electronics Engineers, Vol. 2016-May. p. 6170-6174 5 p. 7472863

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

  41. Published

    On the minimax risk of dictionary learning

    Jung, A., Eldar, Y. C. & Görtz, N., 1 Mar 2016, In : IEEE Transactions on Information Theory. 62, 3, p. 1501-1515 15 p., 7378975.

    Research output: Contribution to journalArticleScientificpeer-review

  42. Published

    A closed frequent subgraph mining algorithm in unique edge label graphs

    El Islem Karabadji, N., Aridhi, S. & Seridi, H., 2016, Machine Learning and Data Mining in Pattern Recognition - 12th International Conference, MLDM 2016, Proceedings. Springer-Verlag, Vol. 9729. p. 43-57 15 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9729).

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

  43. Published

    Big Graph Mining: Frameworks and Techniques

    Aridhi, S. & Mephu Nguifo, E., 2016, In : Big Data Research. 6, p. 1-10 10 p.

    Research output: Contribution to journalArticleScientificpeer-review

ID: 4319442