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  Precise Regression for Bounding Box Correction for Improved Tracking Based on Deep Reinforcement Learning

  Jiang, Y., Shin, H. & Ko, H., 2018 Sep 10, 2018 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 1643-1647 5 p. 8462063. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; vol. 2018-April).

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

• Pre-concentration without changes in ph in an open reservoir utilizing ion concentration polarization

  Cho, Y., Lim, D. W., Yoon, J., Kim, J., Lee, J. H. & Chung, S., 2015, MicroTAS 2015 - 19th International Conference on Miniaturized Systems for Chemistry and Life Sciences. Chemical and Biological Microsystems Society, p. 1205-1207 3 p.

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

• Predicate-argument reordering based on learning to rank for english-korean machine translation

  Lee, J. Y., Hong, G., Rim, H. C., Song, Y. I. & Hwang, Y. S., 2011, Proceedings of the 5th International Conference on Ubiquitous Information Management and Communication, ICUIMC 2011. 2. (Proceedings of the 5th International Conference on Ubiquitous Information Management and Communication, ICUIMC 2011).

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

• Predicate-based caching in mobile clients for con tinuous partial match queries

  Chung, Y. D., Lee, J. Y., Lee, Y. J. & Kim, M. H., 2001, Proceedings - 7th International Conference on Database Systems for Advanced Applications, DASFAA 2001. Institute of Electrical and Electronics Engineers Inc., p. 158-159 2 p. 6044751. (Proceedings - 7th International Conference on Database Systems for Advanced Applications, DASFAA 2001).

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

• Predictability of Android OpenSSL's pseudo random number generator

  Kim, S. H., Han, D. & Lee, D. H., 2013, CCS 2013 - Proceedings of the 2013 ACM SIGSAC Conference on Computer and Communications Security. p. 659-668 10 p. (Proceedings of the ACM Conference on Computer and Communications Security).

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

• Predictability of rules in HIV-1 protease cleavage site analysis

  Kim, H., Yoon, T. S., Zhang, Y., Dikshit, A. & Chen, S. S., 2006, Computational Science - ICCS 2006: 6th International Conference, Proceedings. Springer Verlag, p. 830-837 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 3992 LNCS - II).

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

  Open Access
  4 Citations (Scopus)

• Predicting Alzheimer's disease cognitive assessment via robust low-rank structured sparse model

  Xu, J., Deng, C., Gao, X., Shen, D. & Huang, H., 2017, 26th International Joint Conference on Artificial Intelligence, IJCAI 2017. Sierra, C. (ed.). International Joint Conferences on Artificial Intelligence, p. 3880-3886 7 p. (IJCAI International Joint Conference on Artificial Intelligence; vol. 0).

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

  Open Access
  13 Citations (Scopus)

• Predicting anomalous zone ahead of TBM tunnel face utilizing electrical resistivity

  Park, J., Lee, K. H., Kim, B. K., Lee, S. W. & Lee, I. M., 2016, ITA-AITES World Tunnel Congress 2016, WTC 2016. Society for Mining, Metallurgy and Exploration, p. 1955-1964 10 p. (ITA-AITES World Tunnel Congress 2016, WTC 2016; vol. 3).

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

• Predicting arrival times of buses using real-time GPS measurements

  Sinn, M., Yoon, J. W., Calabrese, F. & Bouillet, E., 2012, 2012 15th International IEEE Conference on Intelligent Transportation Systems, ITSC 2012. p. 1227-1232 6 p. 6338767. (IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC).

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

• Predicting clinical scores using semi-supervised multimodal relevance vector regression

  Cheng, B., Zhang, D., Chen, S. & Shen, D., 2011, Machine Learning in Medical Imaging - Second International Workshop, MLMI 2011, Held in Conjunction with MICCAI 2011, Proceedings. p. 241-248 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 7009 LNCS).

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

• Predicting Driver Attention in Critical Situations

  Xia, Y., Zhang, D., Kim, J., Nakayama, K., Zipser, K. & Whitney, D., 2019, Computer Vision – ACCV 2018 - 14th Asian Conference on Computer Vision, Revised Selected Papers. Li, H., Jawahar, C. V., Schindler, K. & Mori, G. (eds.). Springer Verlag, p. 658-674 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11365 LNCS).

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

• Predicting error bars for QSAR models

  Schroeter, T., Schwaighofer, A., Mika, S., Ter Laak, A., Suelzle, D., Ganzer, U., Heinrich, N. & Müller, K. R., 2007, CompLife 2007 - 3rd International Symposium on Computational Life Science. p. 158-167 10 p. (AIP Conference Proceedings; vol. 940).

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

• Predicting multiple demographic attributes with task specific embedding transformation and attention network

  Kim, R., Kim, H., Lee, J. & Kang, J., 2019, SIAM International Conference on Data Mining, SDM 2019. Society for Industrial and Applied Mathematics Publications, p. 765-773 9 p. (SIAM International Conference on Data Mining, SDM 2019).

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

  Open Access
  3 Citations (Scopus)

• Predicting residual strength of multi-cracked thin sheet plates based on CTOA or cohesive crack model using the extended finite element method

  Chau-Dinh, T., Zi, G. & Kim, J., 2014, IOP Conference Series: Materials Science and Engineering. 1 ed. Institute of Physics Publishing, Vol. 10. 012063

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

• Predicting standard-dose PET image from low-dose PET and multimodal MR images using mapping-based sparse representation

  Wang, Y., Zhang, P., An, L., Ma, G., Kang, J., Wu, X., Zhou, J., Lalush, D. S., Lin, W. & Shen, D., 2015, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Verlag, Vol. 9352. p. 127-135 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9352).

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

• Predicting task-related properties of mental workload with ACT-R cognitive architecture

  Park, S. & Myung, R., 2013, Proceedings of the Human Factors and Ergonomics Society Annual Meeting, HFES 2013. p. 773-777 5 p. (Proceedings of the Human Factors and Ergonomics Society).

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

• Predicting text entry for brain-computer interface

  Lee, S. & Lim, H. S., 2011, Future Information Technology - 6th International Conference, FutureTech 2011, Proceedings. PART 2 ed. p. 309-312 4 p. (Communications in Computer and Information Science; vol. 185 CCIS, no. PART 2).

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

• Predicting the quality of answers using surface linguistic features

  Lee, J. T., Song, Y. I. & Rim, H. C., 2007, Proceedings - ALPIT 2007 6th International Conference on Advanced Language Processing and Web Information Technology. p. 111-116 6 p. 4460624. (Proceedings - ALPIT 2007 6th International Conference on Advanced Language Processing and Web Information Technology).

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

• Predicting the thermal conductivity of nanofluids based on suspension viscosity

  Haisheng, C., Witharana, S., Yi, J., Yulong, D. & Kim, C., 2008, Proceedings of the 2008 4th International Conference on Information and Automation for Sustainability, ICIAFS 2008. p. 234-239 6 p. 4783924. (Proceedings of the 2008 4th International Conference on Information and Automation for Sustainability, ICIAFS 2008).

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

• Predicting the torso direction from HMD movements for walk-in-place navigation through deep learning

  Lee, J., Pastor, A., Hwang, J. I. & Kim, G. J., 2019 Nov 12, Proceedings - VRST 2019: 25th ACM Symposium on Virtual Reality Software and Technology. Spencer, S. N. (ed.). Association for Computing Machinery, 3364709. (Proceedings of the ACM Symposium on Virtual Reality Software and Technology, VRST).

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

  Open Access
  4 Citations (Scopus)

• Predicting time series with support vector machines

  Muller, K., Smoła, A. J., Rätsch, G., Schölkopf, B., Kohlmorgen, J. & Vapnik, V., 1997, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Verlag, Vol. 1327. p. 999-1004 6 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 1327).

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

• Predicting unseen labels using label hierarchies in large-scale multi-label learning

  Nam, J., Mencía, E. L., Kim, H. W. & Fürnkranz, J., 2015 Jan 1, Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2015, Proceedings. Appice, A., Gama, J., Costa, V. S., Gama, J., Jorge, A., Appice, A., Appice, A., Costa, V. S., Jorge, A., Appice, A., Rodrigues, P. P., Rodrigues, P. P., Gama, J., Costa, V. S., Soares, S., Rodrigues, P. P., Soares, S., Soares, S., Gama, J., Soares, S., Jorge, A., Jorge, A., Rodrigues, P. P. & Costa, V. S. (eds.). Springer Verlag, p. 102-118 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9284).

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

• Predicting what you remember from brain activity: EEG-based decoding of long-term memory formation

  Kang, T., Chen, Y., Fazli, S. & Wallraven, C., 2018, Symbiotic Interaction - 6th International Workshop, Symbiotic 2017, Revised Selected Papers. Blankertz, B., Spagnolli, A., Gamberini, L., Jacucci, G. & Ham, J. (eds.). Springer Verlag, p. 63-73 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10727 LNCS).

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

• Prediction and quantification models of bridge condition in Korea

  Lee, K. J., Park, S. H., Park, C. H., Park, K. H. & Kong, J. S., 2008, Life-Cycle Civil Engineering - Proceedings of the 1st International Symposium on Life-Cycle Civil Engineering, IALCCE '08. p. 589-594 6 p. (Life-Cycle Civil Engineering - Proceedings of the 1st International Symposium on Life-Cycle Civil Engineering, IALCCE '08).

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

• Prediction based mobile data aggregation in wireless sensor network

  Lee, S., Kim, S., Ko, D., Kim, S. & An, S., 2009, Advances in Grid and Pervasive Computing - 4th International Conference, GPC 2009, Proceedings. p. 328-339 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 5529).

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

• Prediction confidence based low complexity gradient computation for accelerating DNN training

  Shin, D., Kim, G., Jo, J. & Park, J., 2020 Jul, 2020 57th ACM/IEEE Design Automation Conference, DAC 2020. Institute of Electrical and Electronics Engineers Inc., 9218650. (Proceedings - Design Automation Conference; vol. 2020-July).

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

• Prediction Method of Walking Speed at Swing Phase using Soleus Electromyogram Signal at Previous Stance Phase

  Choi, T., Im, C. H., Kim, S. J., Kim, H. & Lee, J. M., 2018 Oct 26, 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018. Institute of Electrical and Electronics Engineers Inc., p. 2308-2311 4 p. 8512867. (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS; vol. 2018-July).

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

• Prediction of a three-dimensional pointing task through extending the motor module of ACT-R

  Park, D. & Myung, R., 2012, Proceedings of the Human Factors and Ergonomics Society 56th Annual Meeting, HFES 2012. p. 1396-1400 5 p. (Proceedings of the Human Factors and Ergonomics Society).

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

• Prediction of automobile seat comfort

  Kim, B. K., Kim, H. K. K., Kim, J. I. K. & Na, S. K., 2008, 15th International Congress on Sound and Vibration 2008, ICSV 2008. p. 2247-2254 8 p. (15th International Congress on Sound and Vibration 2008, ICSV 2008; vol. 3).

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

• Prediction of creep crack growth for modified 9CR-1MO at 600°C

  Kim, N. H., Kim, Y. J., Kim, W. G. & Lee, H. Y., 2012, ASME 2012 Pressure Vessels and Piping Conference, PVP 2012. p. 331-337 7 p. (American Society of Mechanical Engineers, Pressure Vessels and Piping Division (Publication) PVP; vol. 3).

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

• Prediction of environmental-friendly eco-architecture trend by neologism analysis

  Chin, K. I., Woo Moon, J. & Lee, K. H., 2012, Advances in Civil Engineering and Building Materials - Selected Peer Reviewed Papers from 2012 2nd International Conference on Civil Engineering and Building Materials, CEBM 2012. CRC Press/Balkema, p. 49-53 5 p. (Advances in Civil Engineering and Building Materials - Selected Peer Reviewed Papers from 2012 2nd International Conference on Civil Engineering and Building Materials, CEBM 2012).

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

• Prediction of Event Related Potential Speller Performance Using Resting-State EEG

  Shin, G. H., Lee, M., Kim, H. J. & Lee, S. W., 2020 Jul, 42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society: Enabling Innovative Technologies for Global Healthcare, EMBC 2020. Institute of Electrical and Electronics Engineers Inc., p. 2973-2976 4 p. 9175914. (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS; vol. 2020-July).

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

• Prediction of flat plate self-noise

  Chang, K. W., Seo, J. H., Moon, Y. J. & Roger, M., 2006, Collection of Technical Papers - 12th AIAA/CEAS Aeroacoustics Conference. American Institute of Aeronautics and Astronautics Inc., p. 1451-1464 14 p. (Collection of Technical Papers - 12th AIAA/CEAS Aeroacoustics Conference; vol. 3).

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

• Prediction of infant MRI appearance and anatomical structure evolution using sparse patch-based metamorphosis learning framework

  Rekik, I., Li, G., Wu, G., Lin, W. & Shen, D., 2015, Patch-Based Techniques in Medical Imaging - First st International Workshop, Patch-MI 2015 Held in Conjunction with MICCAI 2015, Revised Selected Papers. Coupé, P., Munsell, B., Wu, G., Zhan, Y. & Rueckert, D. (eds.). Springer Verlag, p. 197-204 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9467).

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

• Prediction of information propagation in a drone network by using machine learning

  Park, J., Kim, Y. & Seok, J., 2016 Nov 30, 2016 International Conference on Information and Communication Technology Convergence, ICTC 2016. Institute of Electrical and Electronics Engineers Inc., p. 147-149 3 p. 7763456

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

• Prediction of low mach number turbulent flow noise using the splitting method

  Seo, J. H. & Moon, Y. J., 2004, Collection of Technical Papers - 10th AIAA/CEAS Aeroacoustics Conference. American Institute of Aeronautics and Astronautics Inc., p. 699-709 11 p. AIAA 2004-2860. (Collection of Technical Papers - 10th AIAA/CEAS Aeroacoustics Conference; vol. 1).

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

• Prediction of memory impairment with MRI data: A longitudinal study of Alzheimer’s disease

  Wang, X., Shen, D. & Huang, H., 2016, Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016 - 19th International Conference, Proceedings. Unal, G., Sabuncu, M. R., Wells, W., Ourselin, S. & Joskowicz, L. (eds.). Springer Verlag, p. 273-281 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9900 LNCS).

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

• Prediction of Memory Retrieval Performance Using Ear-EEG Signals

  Kalafatovich, J., Lee, M. & Lee, S. W., 2020 Jul, 42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society: Enabling Innovative Technologies for Global Healthcare, EMBC 2020. Institute of Electrical and Electronics Engineers Inc., p. 3363-3366 4 p. 9175990. (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS; vol. 2020-July).

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

• Prediction of package chip quality using fail bit count data of the probe test

  Park, J. S. & Kim, S. B., 2015, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Verlag, Vol. 9101. p. 655-664 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9101).

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

• Prediction of residual stress distribution for RPV CRDM penetration nozzles

  Bae, H. Y., Kim, Y. J., Kim, J. H., Lee, S. H. & Lee, K., 2012, ASME 2012 Pressure Vessels and Piping Conference, PVP 2012. PARTS A AND B ed. p. 1165-1178 14 p. (American Society of Mechanical Engineers, Pressure Vessels and Piping Division (Publication) PVP; vol. 6, no. PARTS A AND B).

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

• Prediction of Subsequent Memory Effects Using Convolutional Neural Network

  Kalafatovich, J., Lee, M. & Lee, S. W., 2020, Pattern Recognition and Artificial Intelligence - International Conference, ICPRAI 2020, Proceedings. Lu, Y., Vincent, N., Yuen, P. C., Zheng, W-S., Cheriet, F. & Suen, C. Y. (eds.). Springer Science and Business Media Deutschland GmbH, p. 251-263 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12068 LNCS).

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

• Predictions of mechanical properties from small punch test results using FE damage analyses

  Jeon, J. Y., Kim, N. H., Kim, Y. J., Lee, S. Y. & Kim, J. W., 2013, ASME 2013 Pressure Vessels and Piping Conference, PVP 2013. (American Society of Mechanical Engineers, Pressure Vessels and Piping Division (Publication) PVP; vol. 1 A).

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

• Predictive estimation method to track occluded multiple objects using joint probabilistic data association filter

  Lee, H. & Ko, H., 2005, Image Analysis and Recognition - Second International Conference, ICIAR 2005, Proceedings. Springer Verlag, p. 852-860 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 3656 LNCS).

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

• Predictive modeling of anatomic structures using canonical correlation analysis

  Liu, T., Shen, D. & Davatzikos, C., 2004, 2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano. p. 1279-1282 4 p. (2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano; vol. 2).

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

• Predictive modeling of dental pain using neural network

  Kim, E. Y., Lim, K. O. & Rhee, H. S., 2009, Connecting Health and Humans - Proceedings of NI2009: The 10th International Congress on Nursing Informatics. IOS Press, p. 745-746 2 p. (Studies in Health Technology and Informatics; vol. 146).

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

• Predictive models of resting state networks for assessment of altered functional connectivity in MCI

  Jiang, X., Zhu, D., Li, K., Zhang, T., Shen, D., Guo, L. & Liu, T., 2013, Medical Image Computing and Computer-Assisted Intervention, MICCAI 2013 - 16th International Conference, Proceedings. PART 2 ed. p. 674-681 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
  1 Citation (Scopus)

• Preimage attack on the parallel FFT-hashing function

  Donghoon, C., Moti, Y., Jaechul, S., Seokhie, H. & Sangjin, L., 2007, Information Security and Privacy - 12th Australasian Conference, ACISP 2007, Proceedings. p. 59-67 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 4586 LNCS).

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

• Preliminary evaluation of a haptic aiding concept for remotely piloted vehicles

  Alaimo, S. M. C., Pollini, L., Magazzù, A., Bresciani, J. P., Robuffo Giordano, P., Innocenti, M. & Bülthoff, H. H., 2010, Haptics: Generating and Perceiving Tangible Sensations - International Conference, EuroHaptics 2010, Proceedings. PART 2 ed. p. 418-425 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 6192 LNCS, no. PART 2).

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

• Preliminary evaluation of a silicon drift diode based gamma detector

  Joung, J., Lee, J., Kang, J., Moon, J., Lee, K., Henseler, D., Metzger, W. & Schmand, M., 2008, 2008 IEEE Nuclear Science Symposium Conference Record, NSS/MIC 2008. p. 4872-4876 5 p. 4774332. (IEEE Nuclear Science Symposium Conference Record).

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

• Preliminary experiments on robotic assembly using a hybrid-type variable stiffness actuator

  Kim, B. S., Kim, Y. L. & Song, J. B., 2011, 2011 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM 2011. p. 1076-1080 5 p. 6027040. (IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM).

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