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• Unravelling lewis acidic and reductive characters of normal and inverse nickel-cobalt thiospinels in directing catalytic H₂O₂ cleavage

  Kim, M., Kim, S. H., Lee, J. H. & Kim, J., 2020 Jun 15, In: Journal of hazardous materials. 392, 122347.

  Research output: Contribution to journal › Article › peer-review
  15 Citations (Scopus)

• Unravelling the promotional effect of Nb and Mo on VOx-based catalysts for NOx reduction with NH₃

  Jae Park, Y., Ho Kim, D., Lee, J. H., Phil Ha, H. & Wook Kwon, D., 2023 Mar 30, In: Applied Surface Science. 614, 156072.

  Research output: Contribution to journal › Article › peer-review

• Unrelated machine scheduling with time-window and machine downtime constraints: An application to a naval battle-group problem

  Lee, Y. & Sherali, H. D., 1994 Dec, In: Annals of Operations Research. 50, 1, p. 339-365 27 p.

  Research output: Contribution to journal › Article › peer-review
  14 Citations (Scopus)

• Unresolved issues for utilization of atypical antipsychotics in schizophrenia: Antipsychotic polypharmacy and metabolic syndrome

  Jeon, S. W. & Kim, Y. K., 2017 Oct 18, In: International journal of molecular sciences. 18, 10, 2174.

  Research output: Contribution to journal › Review article › peer-review

  Open Access
  55 Citations (Scopus)

• Unrestricted use of 2 new-generation drug-eluting stents in patients with acute myocardial infarction: A propensity score-matched analysis

  Chen, K. Y., Rha, S. W., Wang, L., Li, Y. J., Li, G. P., Poddar, K. L., Park, J. Y., Choi, C. U., Park, C. G., Seo, H. S., Oh, D. J., Jeong, M. H., Ahn, Y. K., Hong, T. J., Kim, Y. J., Hur, S. H., Seong, I. W., Chae, J. K., Cho, M. C., Bae, J. H., & 8 othersChoi, D. H., Jang, Y. S., Chae, I. H., Kim, C. J., Yoon, J. H., Chung, W. S., Seung, K. B. & Park, S. J., 2012 Sept, In: JACC: Cardiovascular Interventions. 5, 9, p. 936-945 10 p.

  Research output: Contribution to journal › Article › peer-review
  15 Citations (Scopus)

• Unruptured left main coronary artery aneurysm presented with acute cerebral infarction

  Suh, S. Y., Rha, S. W. & Oh, D. J., 2007 Aug, In: European heart journal. 28, 15, p. 1792 1 p.

  Research output: Contribution to journal › Article › peer-review
  1 Citation (Scopus)

• Unsaponifiable Matter from Rice Bran Attenuates High Glucose-Induced Lipid Accumulation by Activating AMPK in HepG2 Cells

  Ham, H., Woo, K. S., Lee, Y. Y., Lee, B., Kim, I. H. & Lee, J., 2017 Apr 1, In: Journal of Food Biochemistry. 41, 2, e12313.

  Research output: Contribution to journal › Article › peer-review

  Open Access

• Unsolved favorable effect of statin on blood viscosity

  Shin, S., 2016 Mar, In: Korean Circulation Journal. 46, 2, p. 145-146 2 p.

  Research output: Contribution to journal › Editorial › peer-review

  Open Access

• Unstable flow during redistribution: Controlling factors and practical implications

  Wang, Z., Jury, W. A., Tuli, A. & Kim, D. J., 2004 May, In: Vadose Zone Journal. 3, 2, p. 549-559 11 p.

  Research output: Contribution to journal › Article › peer-review
  43 Citations (Scopus)

• Unstable slipped capital femoral epiphysis: Reduction by gradual distraction with external fixator. A case report

  Song, H. R., Myrboh, V. & Lee, S. H., 2005 Nov, In: Journal of Pediatric Orthopaedics Part B. 14, 6, p. 426-428 3 p.

  Research output: Contribution to journal › Article › peer-review
  2 Citations (Scopus)

• Unstart in an axisymmetric scramjet isolator

  Kato, N. & Im, S. K., 2019, AIAA Aviation 2019 Forum. American Institute of Aeronautics and Astronautics Inc, AIAA, p. 1-8 8 p. (AIAA Aviation 2019 Forum).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  1 Citation (Scopus)

• Unstart phenomena induced by flow choking in scramjet inlet-isolators

  Im, S. K. & Do, H., 2018 Feb, In: Progress in Aerospace Sciences. 97, p. 1-21 21 p.

  Research output: Contribution to journal › Review article › peer-review
  81 Citations (Scopus)

• Unstart phenomena induced by mass addition and heat release in a model scramjet

  Im, S., Baccarella, D., McGann, B., Liu, Q., Wermer, L. & Do, H., 2016, In: Journal of Fluid Mechanics. 797, p. 604-629 26 p.

  Research output: Contribution to journal › Article › peer-review
  55 Citations (Scopus)

• Unsteady aerodynamic analysis of oscillating flat plates

  Han, C., Ahn, J., Cho, J. & Moon, Y. J., 2003 Dec 1, 21st AIAA Applied Aerodynamics Conference.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  1 Citation (Scopus)

• Unsteady rans modeling of water spray suppression for large scale compartment pool fires

  Yoon, S. S., DesJardin, P. E., Hewson, J. C., Tieszen, S. R., Blanchat, T. K. & Kim, H. Y., 2006.

  Research output: Contribution to conference › Paper › peer-review

• Unsteady rans modeling of water-spray suppression for large-scale compartment pool fires

  Yoon, S. S., Kim, H. Y., Desjardin, P. E., Hewson, J. C., Tieszen, S. R. & Blanchat, T. K., 2007, In: Atomization and Sprays. 17, 1, p. 1-45 45 p.

  Research output: Contribution to journal › Article › peer-review
  5 Citations (Scopus)

• Unstructured deadlock detection technique with scalability and complexity-efficiency in clouds

  Lim, J., Suh, T. & Yu, H., 2014 Jan 1, In: International Journal of Communication Systems. 27, 6, p. 852-870 19 p.

  Research output: Contribution to journal › Article › peer-review
  11 Citations (Scopus)

• Unstructured membership management for byzantine fault tolerance in Clouds

  Lim, J., Jung, D., Suh, T. & Yu, H., 2014, ARCS 2014 - 2014 Workshop Proceedings on Architecture of Computing Systems. Institute of Electrical and Electronics Engineers Inc., (ARCS 2014 - 2014 Workshop Proceedings on Architecture of Computing Systems).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  3 Citations (Scopus)

• Unstructured tetrahedral meshing by an edge-based advancing front method

  Kim, Y. W., Kwon, G. W., Chae, S. W. & Shim, J. K., 2002 Feb, In: KSME International Journal. 16, 2, p. 211-218 8 p.

  Research output: Contribution to journal › Article › peer-review
  2 Citations (Scopus)

• Unsupervised Abnormal Sensor Signal Detection with Channelwise Reconstruction Errors

  Kwak, M. & Kim, S. B., 2021, In: IEEE Access. 9, p. 39995-40007 13 p., 9373362.

  Research output: Contribution to journal › Article › peer-review

  Open Access
  2 Citations (Scopus)

• Unsupervised adaptation without estimated transriptions

  Lee, H. & Yook, D., 2013 Oct 18, 2013 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013 - Proceedings. p. 7918-7921 4 p. 6639206. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

• Unsupervised clustering of EOG as a viable substitute for optical eye tracking

  Flad, N., Fomina, T., Buelthoff, H. H. & Chuang, L. L., 2017, Eye Tracking and Visualization - Foundations, Techniques, and Applications, ETVIS 2015. Burch, M., Weiskopf, D., Fisher, B., Schmidt, A. & Chuang, L. (eds.). Springer Heidelberg, p. 151-167 17 p. (Mathematics and Visualization).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  2 Citations (Scopus)

• Unsupervised Conditional Consensus Adversarial Network for Brain Disease Identification with Structural MRI

  Zhang, J., Liu, M., Pan, Y. & Shen, D., 2019, Machine Learning in Medical Imaging - 10th International Workshop, MLMI 2019, Held in Conjunction with MICCAI 2019, Proceedings. Suk, H-I., Liu, M., Lian, C. & Yan, P. (eds.). Springer, p. 391-399 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11861 LNCS).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  7 Citations (Scopus)

• Unsupervised Decomposition Methods for Analysis of Multimodal Neural Data

  Biessmann, F., Meinecke, F. C. & Müller, K. R., 2013 Jul 15, Introduction to Neural Engineering for Motor Rehabilitation. Wiley-IEEE Press, p. 199-234 36 p.

  Research output: Chapter in Book/Report/Conference proceeding › Chapter

• Unsupervised Deep Contrast Enhancement with Power Constraint for OLED Displays

  Shin, Y. G., Park, S., Yeo, Y. J., Yoo, M. J. & Ko, S. J., 2020, In: IEEE Transactions on Image Processing. 29, p. 2834-2844 11 p., 8906230.

  Research output: Contribution to journal › Article › peer-review
  16 Citations (Scopus)

• Unsupervised deep feature learning for deformable registration of MR brain images

  Wu, G., Kim, M., Wang, Q., Gao, Y., Liao, S. & Shen, D., 2013 Oct 24, Medical Image Computing and Computer-Assisted Intervention, MICCAI 2013 - 16th International Conference, Proceedings. PART 2 ed. Vol. 8150 LNCS. p. 649-656 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 8150 LNCS, no. PART 2).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  121 Citations (Scopus)

• Unsupervised deep learning for hippocampus segmentation in 7.0 Tesla MR images

  Kim, M., Wu, G. & Shen, D., 2013, Machine Learning in Medical Imaging - 4th International Workshop, MLMI 2013, Held in Conjunction with MICCAI 2013, Proceedings. Springer Verlag, p. 1-8 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 8184 LNCS).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  20 Citations (Scopus)

• Unsupervised domain adaptation based COVID-19 CT infection segmentation network

  Chen, H., Jiang, Y., Loew, M. & Ko, H., 2022 Apr, In: Applied Intelligence. 52, 6, p. 6340-6353 14 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access
  7 Citations (Scopus)

• Unsupervised Driver Behavior Profiling Leveraging Recurrent Neural Networks

  Choi, Y. A., Park, K. H., Park, E. & Kim, H. K., 2021, Information Security Applications - 22nd International Conference, WISA 2021, Revised Selected Papers. Kim, H. (ed.). Springer Science and Business Media Deutschland GmbH, p. 28-38 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13009 LNCS).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  1 Citation (Scopus)

• Unsupervised event extraction from biomedical literature using co-occurrence information and basic patterns

  Chun, H. W., Hwang, Y. S. & Rim, H. C., 2005, In: Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science). 3248, p. 777-786 10 p.

  Research output: Contribution to journal › Conference article › peer-review
  2 Citations (Scopus)

• Unsupervised event extraction from biomedical text based on event and pattern information

  Chun, H. W., Hwang, Y. S. & Rim, H. C., 2004, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Gelbukh, A. (ed.). Springer Verlag, p. 533-536 4 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 2945).

  Research output: Chapter in Book/Report/Conference proceeding › Chapter

• Unsupervised fault detection on unmanned aerial vehicles: Encoding and thresholding approach

  Park, K. H., Park, E. & Kim, H. K., 2021 Mar 2, In: Sensors. 21, 6, p. 1-17 17 p., 2208.

  Research output: Contribution to journal › Article › peer-review

  Open Access
  14 Citations (Scopus)

• Unsupervised feature selection using weighted principal components

  Kim, S. B. & Rattakorn, P., 2011 May, In: Expert Systems With Applications. 38, 5, p. 5704-5710 7 p.

  Research output: Contribution to journal › Article › peer-review
  38 Citations (Scopus)

• Unsupervised generation and synthesis of facial images via an auto-encoder-based deep generative adversarial network

  Kwak, J. G. & Ko, H., 2020 Mar 1, In: Applied Sciences (Switzerland). 10, 6, 1995.

  Research output: Contribution to journal › Article › peer-review

  Open Access
  3 Citations (Scopus)

• Unsupervised Holistic Image Generation from Key Local Patches

  Lee, D., Yun, S., Choi, S., Yoo, H., Yang, M. H. & Oh, S., 2018, Computer Vision – ECCV 2018 - 15th European Conference, 2018, Proceedings. Ferrari, V., Sminchisescu, C., Hebert, M. & Weiss, Y. (eds.). Springer Verlag, p. 21-37 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11209 LNCS).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

• Unsupervised incremental online adaptation to unknown environment and speaker

  Yook, D., 2002, In: ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. 1, p. I/617-I/620

  Research output: Contribution to journal › Conference article › peer-review
  1 Citation (Scopus)

• Unsupervised intrusion detection system for unmanned aerial vehicle with less labeling effort

  Park, K. H., Park, E. & Kim, H. K., 2020, Information Security Applications - 21st International Conference, WISA 2020, Revised Selected Papers. You, I. (ed.). Springer Science and Business Media Deutschland GmbH, p. 45-58 14 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12583 LNCS).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  6 Citations (Scopus)

• Unsupervised Learning for Brain-Computer Interfaces Based on Event-Related Potentials: Review and Online Comparison [Research Frontier]

  Hübner, D., Verhoeven, T., Müller, K. R., Kindermans, P. J. & Tangermann, M., 2018 May, In: IEEE Computational Intelligence Magazine. 13, 2, p. 66-77 12 p.

  Research output: Contribution to journal › Article › peer-review
  18 Citations (Scopus)

• Unsupervised Learning for Spherical Surface Registration

  the UNC/UMN Baby Connectome Project Consortium, 2020, Machine Learning in Medical Imaging - 11th International Workshop, MLMI 2020, Held in Conjunction with MICCAI 2020, Proceedings. Liu, M., Lian, C., Yan, P. & Cao, X. (eds.). Springer Science and Business Media Deutschland GmbH, p. 373-383 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12436 LNCS).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  2 Citations (Scopus)

• Unsupervised learning toward brain imaging data analysis: Cigarette craving and resistance related neuronal activations from functional magnetic resonance imaging data analysis

  Kim, D. Y. & Lee, J-H., 2014 Jan 1, Proceedings of SPIE - The International Society for Optical Engineering. SPIE, Vol. 9118. 91180L

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

• Unsupervised lexical entry acquisition model based on representation of human mental lexicon

  Yu, W., Park, D. S., Suh, T. & Lim, H., 2011 Jul, In: Information. 14, 7, p. 2229-2241 13 p.

  Research output: Contribution to journal › Article › peer-review
  1 Citation (Scopus)

• Unsupervised malicious domain detection with less labeling effort

  Park, K. H., Song, H. M., Yoo, J. D., Hong, S. Y., Cho, B., Kim, K. & Kim, H. K., 2022 May, In: Computers and Security. 116, 102662.

  Research output: Contribution to journal › Article › peer-review
  2 Citations (Scopus)

• Unsupervised Primary Object Discovery in Videos Based on Evolutionary Primary Object Modeling with Reliable Object Proposals

  Koh, Y. J. & Kim, C-S., 2017 Nov, In: IEEE Transactions on Image Processing. 26, 11, p. 5203-5216 14 p., 8002643.

  Research output: Contribution to journal › Article › peer-review
  4 Citations (Scopus)

• Unsupervised real-world super resolution with cycle generative adversarial network and domain discriminator

  Kim, G., Park, J., Lee, K., Lee, J., Min, J., Lee, B., Han, D. K. & Ko, H., 2020 Jun, Proceedings - 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2020. IEEE Computer Society, p. 1862-1871 10 p. 9150730. (IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops; vol. 2020-June).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  20 Citations (Scopus)

• Unsupervised Semantic Segmentation Inpainting Network Using a Generative Adversarial Network with Preprocessing

  Ahn, W. J., Kim, D. W., Kang, T. K., Pae, D. S. & Lim, M. T., 2023 Jan, In: Applied Sciences (Switzerland). 13, 2, 781.

  Research output: Contribution to journal › Article › peer-review

  Open Access

• Unsupervised speaker adaptation for speaker independent acoustic to articulatory speech inversion

  Sivaraman, G., Mitra, V., Nam, H., Tiede, M. & Espy-Wilson, C., 2019 Jul 1, In: Journal of the Acoustical Society of America. 146, 1, p. 316-329 14 p.

  Research output: Contribution to journal › Article › peer-review
  18 Citations (Scopus)

• Unsupervised virtual reality-based exercise program improves hip muscle strength and balance control in older adults: A pilot study

  Kim, J., Son, J., Ko, N. & Yoon, B., 2013 May, In: Archives of Physical Medicine and Rehabilitation. 94, 5, p. 937-943 7 p.

  Research output: Contribution to journal › Article › peer-review
  80 Citations (Scopus)

• Unsupervised word sense disambiguation using WordNet relatives

  Seo, H. C., Chung, H., Rim, H. C., Myaeng, S. H. & Kim, S. H., 2004 Jul, In: Computer Speech and Language. 18, 3 SPEC. ISS., p. 253-273 21 p.

  Research output: Contribution to journal › Article › peer-review
  40 Citations (Scopus)

• Untangling intricate microbial-sponge frameworks: The contributions of sponges to Early Ordovician reefs

  Hong, J., Choh, S. J. & Lee, D. J., 2015 Apr 1, In: Sedimentary Geology. 318, p. 75-84 10 p.

  Research output: Contribution to journal › Article › peer-review
  18 Citations (Scopus)

• Untargeted metabolomics analysis of rat hippocampus subjected to sleep fragmentation

  Yoon, D. W., Kwon, H. N., Jin, X., Kim, J. K., Lee, S. K., Park, S., Yun, C. H. & Shin, C., 2019 Nov, In: Brain Research Bulletin. 153, p. 74-83 10 p.

  Research output: Contribution to journal › Article › peer-review
  12 Citations (Scopus)