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  • 2021

    Federated learning from big data over networks

    Sarcheshmehpour, Y., Leinonen, M. & Jung, A., 2021, ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. IEEE, Vol. 2021-June. p. 3055-3059 5 p. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings).

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

  • Hash-Based Preprocessing and Inprocessing Techniques in SAT Solvers

    Cao, H., 2021, Theory and Applications of Satisfiability Testing – SAT 2021 - 24th International Conference, 2021, Proceedings. Li, C-M. & Manyà, F. (eds.). p. 82-97 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12831 LNCS).

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

  • Learning optimal lattice codes for MIMO communications

    Amorós, L. & Pitkänen, M., 2021, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, Vol. 2021-June. p. 2960-2964 5 p. ( Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing).

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

  • Target Tracking on Sensing Surface with Electrical Impedance Tomography

    Huuhtanen, T., Lankinen, A. & Jung, A., 24 Jan 2021, 28th European Signal Processing Conference, EUSIPCO 2020 - Proceedings. EURASIP, p. 1817-1821 5 p. 9287805. (European Signal Processing Conference).

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

    Open Access
    File
    62 Downloads (Pure)
  • 2020

    Anomaly Location Detection with Electrical Impedance Tomography Using Multilayer Perceptrons

    Huuhtanen, T. & Jung, A., 23 Sep 2020, Proceedings of the 2020 IEEE 30th International Workshop on Machine Learning for Signal Processing, MLSP 2020. IEEE, p. 1-6 6 p. 9231818. (Machine Learning for Signal Processing).

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

    Open Access
    File
    1 Citation (Scopus)
    52 Downloads (Pure)
  • Classifying Partially Labeled Networked Data VIA Logistic Network Lasso

    Tran, N., Ambos, H. & Jung, A., May 2020, 2020 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2020 - Proceedings. IEEE, p. 3832-3836 5 p. 9054408. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; vol. 2020-May).

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

    Open Access
    File
    4 Citations (Scopus)
    5 Downloads (Pure)
  • Clustering in Partially Labeled Stochastic Block Models via Total Variation Minimization

    Jung, A., 1 Nov 2020, Conference Record of the 54th Asilomar Conference on Signals, Systems and Computers, ACSSC 2020. Matthews, M. B. (ed.). IEEE Computer Society, p. 731-735 5 p. 9443311. (Conference Record - Asilomar Conference on Signals, Systems and Computers; vol. 2020-November).

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

    Open Access
    1 Citation (Scopus)
  • 2019

    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

    Open Access
    File
    1 Citation (Scopus)
    18 Downloads (Pure)
  • 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. IEEE, p. 379-390 12 p. 8730163

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

    Open Access
    File
    424 Downloads (Pure)
  • Classifying Big Data over Networks Via the Logistic Network Lasso

    Ambos, H., Tran, N. & Jung, A., 19 Feb 2019, 2018 CONFERENCE RECORD OF 52ND ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS, AND COMPUTERS. Matthews, M. B. (ed.). Vol. 2018-October. p. 855-858 4 p. 8645260

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

    Open Access
    File
    2 Citations (Scopus)
    6 Downloads (Pure)
  • 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.). p. 313-324 12 p. (Lecture Notes in Business Information Processing; vol. 342).

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

    Open Access
    15 Citations (Scopus)
  • Graph Signal Sampling via Reinforcement Learning

    Abramenko, O. & Jung, A., 1 May 2019, 44th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019; Brighton; United Kingdom; 12-17 May 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

    Open Access
    File
    2 Citations (Scopus)
    184 Downloads (Pure)
  • Outlier Detection from Non-Smooth Sensor Data

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

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

    Open Access
    File
    70 Downloads (Pure)
  • 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

    Open Access
    3 Citations (Scopus)
  • 2018

    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. IEEE, p. 50-54 5 p. 8450811

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

    Open Access
    File
    1 Citation (Scopus)
    129 Downloads (Pure)
  • 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, p. 82-93 12 p. (Lecture Notes in Computer Science; vol. 10716).

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

    Open Access
    File
    2 Citations (Scopus)
    90 Downloads (Pure)
  • Network Intrusion Detection Using Flow Statistics

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

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

    5 Citations (Scopus)
  • 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. IEEE, Vol. 2018-April. p. 6314-6317 4 p. 8462689

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

    Open Access
    3 Citations (Scopus)
  • Predicting Electricity Outages Caused by Convective Storms

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

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

    Open Access
    File
    4 Citations (Scopus)
    154 Downloads (Pure)
  • Predictive Maintenance of Photovoltaic Panels via Deep Learning

    Huuhtanen, T. & Jung, A., 17 Aug 2018, 2018 IEEE Data Science Workshop, DSW 2018 - Proceedings. IEEE, p. 66-70 5 p. 8439898

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

    15 Citations (Scopus)
  • 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.). IEEE, 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

    Open Access
    4 Citations (Scopus)
  • 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. p. 20-35 16 p. (Lecture Notes in Business Information Processing; vol. 308).

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

    Open Access
    8 Citations (Scopus)
  • 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. IEEE, 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

    Open Access
  • 2017

    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

    2 Citations (Scopus)
  • 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. IEEE, p. 5920-5924 5 p. 7953292

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

    Open Access
    5 Citations (Scopus)
  • 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. IEEE, p. 427-431 5 p. 8024453

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

    Open Access
    7 Citations (Scopus)
  • 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. IEEE, p. 5915-5919 5 p. 7953291

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

  • 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. IEEE, p. 644-648 5 p. 8024392

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

    4 Citations (Scopus)
  • 2016

    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. 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

    2 Citations (Scopus)
  • 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. ACM, p. 39-42 4 p.

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

    3 Citations (Scopus)
  • 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. ACM, p. 161-168 8 p.

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

    23 Citations (Scopus)
  • 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. ACM, Vol. 11-13-July-2016. p. 142-147 6 p.

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

    4 Citations (Scopus)
  • 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. IEEE, Vol. 2016-May. p. 6170-6174 5 p. 7472863

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

    5 Citations (Scopus)
  • 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. IEEE, Vol. 2016-August. 6 p. 7536869

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

    9 Citations (Scopus)