Projects funded by the NCN

Information on the principal investigator and host institution

Information of the project and the call

Keywords

Equipment

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Fusion and uncertainty in information diffusion

2016/23/B/ST6/01735

Keywords:

information diffusion information fusion uncertainty

Descriptors:

  • ST6_11: Machine learning, statistical data processing and applications using signal processing (e.g. speech, image, video)
  • ST6_7: Artificial intelligence, intelligent systems, multi-agent systems
  • ST6_14: Other related subjects

Panel:

ST6 - Computer science and informatics: informatics and information systems, computer science, scientific computing, intelligent systems

Host institution :

Politechnika Wrocławska

woj. dolnośląskie

Other projects carried out by the institution 

Principal investigator (from the host institution):

prof. Nitesh Chawla 

Number of co-investigators in the project: 6

Call: OPUS 12 - announced on 2016-09-15

Amount awarded: 638 500 PLN

Project start date (Y-m-d): 2017-10-11

Project end date (Y-m-d): 2021-10-10

Project duration:: 48 months (the same as in the proposal)

Project status: Project settled

Project description

Download the project description in a pdf file

Note - project descriptions were prepared by the authors of the applications themselves and placed in the system in an unchanged form.

Equipment purchased [PL]

  1. Zestaw komputerowy (21 000 PLN)

Information in the final report

  • Publication in academic press/journals (7)
  • Articles in post-conference publications (2)
  • Book publications / chapters in book publications (1)
  1. Fuzzy Relative Willingness: Modeling Influence of Exogenous Factors in Driving Information Propagation Through a Social Network
    Authors:
    Suman Kundu, Tomasz Kajdanowicz, Przemysław Kazienko, Nitesh Chawla
    Academic press:
    IEEE ACCESS (rok: 2020, tom: 8, strony: 186653 - 186661), Wydawca: IEEE
    Status:
    Published
    DOI:
    10.1109/ACCESS.2020.3029657 - link to the publication
  2. Modeling Complementarity in Behavior Data with Multi-Type Itemset Embedding
    Authors:
    Wang, D., Zeng, Q., Chawla, N. V., & Jiang, M.
    Academic press:
    ACM Transactions on Intelligent Systems and Technology (TIST) (rok: 2021, tom: 12(4), strony: 45316), Wydawca: ACM
    Status:
    Published
    DOI:
    10.1145/3458724 - link to the publication
  3. Social network structure is predictive of health and wellness.
    Authors:
    Suwen Lin, Louis Faust, Pablo Robles-Granda, Tomasz Kajdanowicz, Nitesh Chawla
    Academic press:
    PLoS ONE (rok: 2019, tom: vol. 14, no. 6, strony: art. 0217264, s. 1-17), Wydawca: PLoS
    Status:
    Published
    DOI:
    10.1371/journal.pone.0217264 - link to the publication
  4. FILDNE: A Framework for Incremental Learning of Dynamic Networks Embeddings
    Authors:
    Bielak, P., Tagowski, K., Falkiewicz, M., Kajdanowicz, T., & Chawla, N. V.
    Academic press:
    Knowledge-Based Systems (rok: 2021, tom: 107453, strony: 107453), Wydawca: Elsevier
    Status:
    Published
    DOI:
    10.1016/j.knosys.2021.107453 - link to the publication
  5. Characterizing online health and wellness information consumption: a study.
    Authors:
    Aastha Nigam, Reid A. Johnson, Dong Wang, Nitesh Chawla
    Academic press:
    Information Fusion (rok: 2019, tom: 46, strony: 33-43), Wydawca: Elsevier
    Status:
    Published
    DOI:
    10.1016/j.inffus.2018.04.005 - link to the publication
  6. Double Bounded Rough Set, Tension Measure, and Social Link Prediction
    Authors:
    Suman Kundu, Sankar K. Pal
    Academic press:
    IEEE Transactions on Computational Social Systems (rok: 2018, tom: 5, strony: 841-853), Wydawca: IEEE
    Status:
    Published
    DOI:
    10.1109/TCSS.2018.2861215 - link to the publication
  7. Modeling Co-evolution of Attributed and Structural Information in Graph Sequence
    Authors:
    Wang, D., Zhang, Z., Ma, Y., Zhao, T., Jiang, T., Chawla, N., & Jiang, M.
    Academic press:
    IEEE Transactions on Knowledge and Data Engineering. (rok: 2021, ), Wydawca: IEEE
    Status:
    Accepted for publication
    DOI:
    10.1109/TKDE.2021.3094332 - link to the publication
  1. Calendar Graph Neural Networks for Modeling Time Structures in Spatiotemporal User Behaviors
    Authors:
    Daheng Wang, Meng Jiang, Munira Syed, Oliver Conway, Vishal Juneja, Sriram Subramanian, Nitesh V. Chawla
    Conference:
    26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (rok: 2020, ), Wydawca: ACM
    Data:
    konferencja 23-27.08.2020
    Status:
    Published
  2. Personalized Imputation on Wearable-Sensory Time Series via Knowledge Transfer
    Authors:
    Xian Wu, Stephen Mattingly, Shayan Mirjafari, Chao Huang, Nitesh V. Chawla
    Conference:
    29th ACM International Conference on Information and Knowledge Management (rok: 2020, ), Wydawca: ACM
    Data:
    konferencja 19-23.10.2020
    Status:
    Published
  1. Application of Machine Learning in the Social Network
    Authors:
    Belfin R. V., E. Grace Mary Kanaga, Suman Kundu
    Book:
    Recent Advances in Hybrid Metaheuristics for Data Clustering (rok: 2020, tom: First Edition, strony: 61-83), Wydawca: John Wiley & Sons Ltd.
    Status:
    Published

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