Calculated based on number of publications stored in Pure and citations from Scopus
1993 …2023

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  • 2022

    Non-local Attention Improves Description Generation for Retinal Images

    Huang, J.-H., Wu, T.-W., Yang, C.-H. H., Shi, Z., Lin, I.-H., Tegner, J. & Worring, M., 2022, 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). IEEE

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    2 Scopus citations
  • 2021

    DeepOpht: Medical Report Generation for Retinal Images via Deep Models and Visual Explanation

    Huang, J.-H., Yang, C.-H. H., Liu, F., Tian, M., Liu, Y.-C., Wu, T.-W., Lin, I.-H., Wang, K., Morikawa, H., Chang, H., Tegner, J. & Worring, M., 2021, 2021 IEEE Winter Conference on Applications of Computer Vision (WACV). IEEE

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    22 Scopus citations
  • VLG-Net: Video-Language Graph Matching Network for Video Grounding

    Soldan, M., Xu, M., Qu, S., Tegner, J. & Ghanem, B., 2021, Proceedings - 2021 IEEE/CVF International Conference on Computer Vision Workshops, ICCVW 2021. Institute of Electrical and Electronics Engineers Inc., p. 3217-3227 11 p. (Proceedings of the IEEE International Conference on Computer Vision; vol. 2021-October).

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

    36 Scopus citations
  • 2020

    Evolving Neural Networks through a Reverse Encoding Tree

    Zhang, H., Yang, C.-H. H., Zenil, H., Kiani, N. A., Shen, Y. & Tegner, J., 2020, 2020 IEEE Congress on Evolutionary Computation (CEC). IEEE

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    4 Scopus citations
  • Interpretable Self-Attention Temporal Reasoning for Driving Behavior Understanding

    Liu, Y.-C., Hsieh, Y.-A., Chen, M.-H., Yang, C.-H. H., Tegner, J. & Tsai, Y.-C. J., 2020, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    15 Scopus citations
  • 2019

    Auto-classification of Retinal Diseases in the Limit of Sparse Data Using a Two-Streams Machine Learning Model

    Huck Yang, C. H., Liu, F., Huang, J.-H., Tian, M., I-Hung Lin, M. D., Liu, Y. C., Morikawa, H., Yang, H. H. & Tegner, J., Jun 19 2019, Computer Vision – ACCV 2018 Workshops. Springer Nature, p. 323-338 16 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    11 Scopus citations
  • Synthesizing New Retinal Symptom Images by Multiple Generative Models

    Liu, Y. C., Yang, H. H., Huck Yang, C. H., Huang, J.-H., Tian, M., Morikawa, H., Tsai, Y. C. J. & Tegner, J., Jun 19 2019, Computer Vision – ACCV 2018 Workshops. Springer Nature, p. 235-250 16 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    13 Scopus citations
  • 2016

    Topological Evaluation of Methods for Reconstruction of Genetic Regulatory Networks

    Olczak, J., Kiani, N. A., Zenil, H. & Tegner, J., Feb 5 2016, Proceedings - 11th International Conference on Signal-Image Technology and Internet-Based Systems, SITIS 2015. Yetongnon, K., Dipanda, A. & Chbeir, R. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 468-473 6 p. 7400604. (Proceedings - 11th International Conference on Signal-Image Technology and Internet-Based Systems, SITIS 2015).

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

  • 2015

    Numerical investigation of graph spectra and information interpretability of Eigenvalues

    Zenil, H., Kiani, N. A. & Tegnér, J., 2015, Bioinformatics and Biomedical Engineering - 3rd International Conference, IWBBIO 2015, Proceedings. Ortuño, F. & Rojas, I. (eds.). Springer Verlag, p. 395-405 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9044).

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

    Open Access
    3 Scopus citations
  • 2014

    Network Biology Empowering Detection and Understanding of Interactions Between Genetic Factors in Development of Complex Phenotypes

    Tegner, J., Marabita, F. & Gomez-Cabrero, D., Jan 1 2014, Between the Lines of Genetic Code: Genetic Interactions in Understanding Disease and Complex Phenotypes. Elsevier Inc., p. 175-194 20 p.

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

  • 2013

    Algorithmic complexity of motifs clusters superfamilies of networks

    Zenil, H., Kiani, N. A. & Tegnér, J., 2013, Proceedings - 2013 IEEE International Conference on Bioinformatics and Biomedicine, IEEE BIBM 2013. p. 74-76 3 p. 6732768. (Proceedings - 2013 IEEE International Conference on Bioinformatics and Biomedicine, IEEE BIBM 2013).

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

    9 Scopus citations
  • Testing Biological Models for Non-linear Sensitivity with a Programmability Test

    Zenil, H., Ball, G. & Tegner, J., 2013, Proceedings of the 12th European Conference on the Synthesis and Simulation of Living Systems: Advances in Artificial Life, ECAL 2013. MIT Press Journals, p. 1222-1223 2 p. (Proceedings of the 12th European Conference on the Synthesis and Simulation of Living Systems: Advances in Artificial Life, ECAL 2013).

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

    Open Access
    5 Scopus citations
  • 2009

    On stability of limit cycles of a prototype problem of piecewise linear systems

    Eriksson, O., Tègner, J. & Zhou, Y., 2009, Emergent Problems in Nonlinear Systems and Control. Thoma, M., Allgower, F. & Morari, M. (eds.). p. 43-55 13 p. (Lecture Notes in Control and Information Sciences; vol. 393).

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

  • 2006

    Evaluating feature selection for SVMs in high dimensions

    Nilsson, R., Peña, J. M., Björkegren, J. & Tegnér, J., 2006, Machine Learning: ECML 2006 - 17th European Conference on Machine Learning, Proceedings. Springer Verlag, p. 719-726 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 4212 LNAI).

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

    Open Access
    19 Scopus citations
  • Identifying the relevant nodes without learning the model

    Peña, J. M., Nilsson, R., Björkegren, J. & Tegnér, J., 2006, Proceedings of the 22nd Conference on Uncertainty in Artificial Intelligence, UAI 2006. p. 367-374 8 p. (Proceedings of the 22nd Conference on Uncertainty in Artificial Intelligence, UAI 2006).

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

    6 Scopus citations
  • Reading dependencies from the minimal undirected independence map of a graphoid that satisfies weak transitivity

    Peña, J. M., Roland Nilsson, N., Björkegren, J. & Tegnér, J., 2006, Proceedings of the 3rd European Workshop on Probabilistic Graphical Models, PGM 2006. p. 247-254 8 p. (Proceedings of the 3rd European Workshop on Probabilistic Graphical Models, PGM 2006).

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

    5 Scopus citations
  • 2005

    Scalable, efficient and correct learning of markov boundaries under the faithfulness assumption

    Peña, J. M., Björkegren, J. & Tegnér, J., 2005, Symbolic and Quantitative Approaches to Reasoning with Uncertainty - 8th European Conference, ECSQARU 2005, Proceedings. Springer Verlag, p. 136-147 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 3571 LNAI).

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

    18 Scopus citations
  • 2002

    Why neuronal dynamics should control synaptic learning rules

    Tegnér, J. & Kepecs, Á., 2002, Advances in Neural Information Processing Systems 14 - Proceedings of the 2001 Conference, NIPS 2001. Neural information processing systems foundation, (Advances in Neural Information Processing Systems).

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

    8 Scopus citations