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• Unsupervised event tracking by integrating twitter and instagram

  Wang, S., Giridhar, P., Kaplan, L. & Abdelzaher, T., Apr 18 2017, Proceedings - 2017 2nd International Workshop on Social Sensing, SocialSens 2017 (part of CPS Week). Association for Computing Machinery, Inc, p. 81-86 6 p. (Proceedings - 2017 2nd International Workshop on Social Sensing, SocialSens 2017 (part of CPS Week)).

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

• Unsupervised Fact-finding with Multi-modal Data in Social Sensing

  Shao, H., Yao, S., Zhao, Y., Su, L., Wang, Z., Liu, D., Liu, S., Kaplan, L. & Abdelzaher, T., Jul 2019, FUSION 2019 - 22nd International Conference on Information Fusion. Institute of Electrical and Electronics Engineers Inc., 9011270. (FUSION 2019 - 22nd International Conference on Information Fusion).

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

• Unsupervised feature selection for multi-view clustering on text-image web news data

  Qian, M. & Zhai, C., Nov 3 2014, CIKM 2014 - Proceedings of the 2014 ACM International Conference on Information and Knowledge Management. Association for Computing Machinery, Inc, p. 1963-1966 4 p. (CIKM 2014 - Proceedings of the 2014 ACM International Conference on Information and Knowledge Management).

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

• Unsupervised identification of synonymous query intent templates for attribute intents

  Li, Y., Hsu, B. J. & Zhai, C., 2013, CIKM 2013 - Proceedings of the 22nd ACM International Conference on Information and Knowledge Management. p. 2029-2038 10 p. (International Conference on Information and Knowledge Management, Proceedings).

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

• Unsupervised Interesting Places Discovery in Location-based Social Sensing

  Huang, C. & Wang, D., Aug 8 2016, Proceedings - 12th Annual International Conference on Distributed Computing in Sensor Systems, DCOSS 2016. Institute of Electrical and Electronics Engineers Inc., p. 67-74 8 p. 7536314. (Proceedings - 12th Annual International Conference on Distributed Computing in Sensor Systems, DCOSS 2016).

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

• Unsupervised Key Event Detection from Massive Text Corpora

  Zhang, Y., Guo, F., Shen, J. & Han, J., Aug 14 2022, KDD 2022 - Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 2535-2544 10 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

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

  Open Access

• Unsupervised Language-Independent Name Translation Mining from Wikipedia Infoboxes

  Lin, W. P., Snover, M. & Ji, H., 2011, Workshop on Unsupervised Learning in NLP at the 2011 Conference on Empirical Methods in Natural Language Processing, EMNLP 2011 - Proceedings. Abend, O., Korhonen, A., Rappoport, A. & Reichart, R. (eds.). Association for Computational Linguistics (ACL), p. 43-52 10 p. (Workshop on Unsupervised Learning in NLP at the 2011 Conference on Empirical Methods in Natural Language Processing, EMNLP 2011 - Proceedings).

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

• UNSUPERVISED LEARNING FOR CHARACTERIZATION OF TISSUE FROM ACOUSTICAL SPECKLE IN ULTRASOUND IMAGES.

  Momenan, R., Wagner, R. F., Loew, M. H., Insana, M. & Garra, B. S., 1987, Unknown Host Publication Title. IEEE, p. 935-940 6 p.

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

• Unsupervised Learning of Arabic Modal Multiword Expressions

  Girju, C. R., Diesner, J. & Al-Sabbagh, R., 2014.

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

• Unsupervised learning of dislocation motion

  Pagan, D. C., Phan, T. Q., Weaver, J. S., Benson, A. R. & Beaudoin, A. J., Dec 2019, In: Acta Materialia. 181, p. 510-518 9 p.

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

• Unsupervised learning of HMM topology for text-dependent speaker verification

  Liu, M. & Huang, T. S., 2006, INTERSPEECH 2006 and 9th International Conference on Spoken Language Processing, INTERSPEECH 2006 - ICSLP. International Speech Communication Association, Vol. 2. p. 921-924 4 p.

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

• Unsupervised learning of PCFGs with normalizing flow

  Jin, L., Doshi-Velez, F., Miller, T., Schuler, W. & Schwartz, L., 2020, ACL 2019 - 57th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference. Association for Computational Linguistics (ACL), p. 2442-2452 11 p. (ACL 2019 - 57th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference).

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

• Unsupervised Learning of Sequence-specific Aggregation Behavior for a Model Copolymer

  Statt, A., Kleeblatt, D. C. & Reinhart, W. F., Sep 7 2021, In: Soft Matter. 17, 33, p. 7697-7707 11 p.

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

• Unsupervised link selection in networks

  Gu, Q., Aggarwal, C. & Han, J., 2013, In: Journal of Machine Learning Research. 31, p. 298-306 9 p.

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

• Unsupervised locally embedded clustering for automatic high-dimensional data labeling

  Fu, Y. & Huang, T. S., 2007, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07. Vol. 3. 4217895

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

• Unsupervised machine-learning classification of electrophysiologically active electrodes during human cognitive task performance

  Saboo, K. V., Varatharajah, Y., Berry, B. M., Kremen, V., Sperling, M. R., Davis, K. A., Jobst, B. C., Gross, R. E., Lega, B., Sheth, S. A., Worrell, G. A., Iyer, R. K. & Kucewicz, M. T., Dec 1 2019, In: Scientific reports. 9, 1, 17390.

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

  Open Access

• Unsupervised Machine Learning for Augmented Data Analytics of Building Codes

  Zhang, R. & El-Gohary, N., 2019, Computing in Civil Engineering 2019: Data, Sensing, and Analytics - Selected Papers from the ASCE International Conference on Computing in Civil Engineering 2019. Cho, Y. K., Leite, F., Behzadan, A. & Wang, C. (eds.). American Society of Civil Engineers, p. 74-81 8 p. (Computing in Civil Engineering 2019: Data, Sensing, and Analytics - Selected Papers from the ASCE International Conference on Computing in Civil Engineering 2019).

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

• Unsupervised meta-path selection for text similarity measure based on heterogeneous information networks

  Wang, C., Song, Y., Li, H., Zhang, M. & Han, J., Nov 1 2018, In: Data Mining and Knowledge Discovery. 32, 6, p. 1735-1767 33 p.

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

• Unsupervised multidimensional hierarchical clustering

  Dugad, R. & Ahuja, N., 1998, Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 1998. p. 2761-2764 4 p. 678095. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; vol. 5).

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

• Unsupervised named entity normalization for supporting information fusion for big bridge data analytics

  Liu, K. & El-Gohary, N., 2018, Advanced Computing Strategies for Engineering - 25th EG-ICE International Workshop 2018, Proceedings. Smith, I. F. & Domer, B. (eds.). Springer, p. 130-149 20 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10864 LNCS).

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

• Unsupervised named entity transliteration using temporal and phonetic correlation

  Tao, T., Yoon, S. Y., Fister, A., Sproat, R. & Zhai, C. X., 2006, COLING/ACL 2006 - EMNLP 2006: 2006 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference. Association for Computational Linguistics (ACL), p. 250-257 8 p. (COLING/ACL 2006 - EMNLP 2006: 2006 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference).

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

  Open Access

• Unsupervised person slot filling based on graph mining

  Yu, D. & Ji, H., 2016, 54th Annual Meeting of the Association for Computational Linguistics, ACL 2016 - Long Papers. Association for Computational Linguistics (ACL), p. 44-53 10 p. (54th Annual Meeting of the Association for Computational Linguistics, ACL 2016 - Long Papers; vol. 1).

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

  Open Access

• Unsupervised practice: The performance of the control group

  Foss, M. A., Fabiani, M., Mané, A. M. & Donchin, E., Aug 1989, In: Acta Psychologica. 71, 1-3, p. 23-51 29 p.

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

• Unsupervised prosodic break detection in Mandarin speech

  Huang, J. T., Hasegawa-Johnson, M. & Shih, C., 2008, Proceedings of the 4th International Conference on Speech Prosody. International Speech Communications Association, p. 165-168 4 p. (Proceedings of the 4th International Conference on Speech Prosody, SP 2008).

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

• Unsupervised query segmentation using clickthrough for information retrieval

  Li, Y., Hsu, B. J., Zhai, C. X. & Wang, K., 2011, SIGIR'11 - Proceedings of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval. Association for Computing Machinery, p. 285-294 10 p. (SIGIR'11 - Proceedings of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval).

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

• Unsupervised rank aggregation with distance-based models

  Klementiev, A., Roth, D. & Small, K., 2008, Proceedings of the 25th International Conference on Machine Learning. Association for Computing Machinery (ACM), p. 472-479 8 p. (Proceedings of the 25th International Conference on Machine Learning).

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

• Unsupervised rank aggregation with domain-specific expertise

  Klementiev, A., Roth, D., Small, K. & Titov, I., 2009, IJCAI-09 - Proceedings of the 21st International Joint Conference on Artificial Intelligence. International Joint Conferences on Artificial Intelligence, p. 1101-1106 6 p. (IJCAI International Joint Conference on Artificial Intelligence).

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

• Unsupervised ranking of knowledge bases for named entity recognition

  Mrabet, Y., Kilicoglu, H. & Demner-Fushman, D., 2016, Frontiers in Artificial Intelligence and Applications. Kaminka, G. A., Dignum, F., Hullermeier, E., Bouquet, P., Dignum, V., Fox, M. & van Harmelen, F. (eds.). IOS Press, p. 1248-1255 8 p. (Frontiers in Artificial Intelligence and Applications; vol. 285).

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

• Unsupervised Representation Adversarial Learning Network: From Reconstruction to Generation

  Zhou, Y., Gu, K. & Huang, T., Jul 2019, 2019 International Joint Conference on Neural Networks, IJCNN 2019. Institute of Electrical and Electronics Engineers Inc., 8852395. (Proceedings of the International Joint Conference on Neural Networks; vol. 2019-July).

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

• Unsupervised segmentation of objects using efficient learning

  Arora, H., Loeff, N., Forsyth, D. A. & Ahuja, N., 2007, 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR'07. 4270036. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition).

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

• Unsupervised sentiment-bearing feature selection for document-level sentiment classification

  Li, Y., Qin, Z., Xu, W., Ji, H. & Guo, J., Dec 2013, In: IEICE Transactions on Information and Systems. E96-D, 12, p. 2805-2813 9 p.

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

  Open Access

• Unsupervised Sequential Outlier Detection with Deep Architectures

  Lu, W., Cheng, Y., Xiao, C., Chang, S., Huang, S., Liang, B. & Huang, T., Sep 2017, In: IEEE Transactions on Image Processing. 26, 9, p. 4321-4330 10 p., 7942034.

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

• Unsupervised single-cell analysis in triple-negative breast cancer: A case study

  Athreya, A. P., Gaglio, A. J., Kalbarczyk, Z. T., Iyer, R. K., Cairns, J., Kalari, K. R., Weinshilboum, R. M. & Wang, L., Jan 17 2017, Proceedings - 2016 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2016. Burrage, K., Zhu, Q., Liu, Y., Tian, T., Wang, Y., Hu, X. T., Jiang, Q., Song, J., Morishita, S., Burrage, K. & Wang, G. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 556-563 8 p. 7822581. (Proceedings - 2016 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2016).

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

• Unsupervised sparse vector densification for short text similarity

  Song, Y. & Roth, D., 2015, NAACL HLT 2015 - 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference. Association for Computational Linguistics (ACL), p. 1275-1280 6 p. (NAACL HLT 2015 - 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference).

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

  Open Access

• Unsupervised speech decomposition via triple information bottleneck

  Qian, K., Zhang, Y., Chang, S., Cox, D. & Hasegawa-Johnson, M., 2020, 37th International Conference on Machine Learning, ICML 2020. Daume, H. & Singh, A. (eds.). International Machine Learning Society (IMLS), p. 7792-7802 11 p. (37th International Conference on Machine Learning, ICML 2020; vol. PartF168147-11).

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

• Unsupervised Text-to-Speech Synthesis by Unsupervised Automatic Speech Recognition

  Ni, J., Wang, L., Gao, H., Qian, K., Zhang, Y., Chang, S. & Hasegawa-Johnson, M., 2022, In: Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH. 2022-September, p. 461-465 5 p.

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

• Unsupervised Textual Grounding: Linking Words to Image Concepts

  Yeh, R. A., Do, M. N. & Schwing, A. G., Dec 14 2018, Proceedings - 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2018. IEEE Computer Society, p. 6125-6134 10 p. 8578739. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition).

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

• Unsupervised Video Object Segmentation Using Motion Saliency-Guided Spatio-Temporal Propagation

  Hu, Y. T., Huang, J. B. & Schwing, A. G., 2018, Computer Vision – ECCV 2018 - 15th European Conference, 2018, Proceedings. Hebert, M., Ferrari, V., Sminchisescu, C. & Weiss, Y. (eds.). Springer, p. 813-830 18 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11205 LNCS).

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

• Unsupervised visual representation learning by graph-based consistent constraints

  Li, D., Hung, W. C., Huang, J. B., Wang, S., Ahuja, N. & Yang, M. H., 2016, Computer Vision - 14th European Conference, ECCV 2016, Proceedings. Leibe, B., Matas, J., Sebe, N. & Welling, M. (eds.). Springer, p. 678-694 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9908 LNCS).

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

• Unsupervised Word Embedding Learning by Incorporating Local and Global Contexts

  Meng, Y., Huang, J., Wang, G., Wang, Z., Zhang, C. & Han, J., 2020, In: Frontiers in Big Data. 3

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

• Unsupported d⁸–d⁸ interactions in cationic Pd^II and Pt^II complexes: Evidence for a significant metal–metal bonding character

  Luo, J., Khusnutdinova, J. R., Rath, N. P. & Mirica, L. M., Jan 11 2012, In: Chemical Communications. 48, 10, p. 1532-1534 3 p.

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

• Untangling coevolutionary history

  Johnson, K. P. & Clayton, D. H., Feb 2004, In: Systematic biology. 53, 1, p. 92-94 3 p.

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

• Untangling drivers of species distributions: Global sensitivity and uncertainty analyses of MaxEnt

  Convertino, M., Muñoz-Carpena, R., Chu-Agor, M. L., Kiker, G. A. & Linkov, I., Jan 2014, In: Environmental Modelling and Software. 51, p. 296-309 14 p.

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

• Untangling Header Bidding Lore: Some Myths, Some Truths, and Some Hope

  Aqeel, W., Bhattacherjee, D., Chandrasekaran, B., Godfrey, P. B., Laughlin, G., Maggs, B. & Singla, A., 2020, Passive and Active Measurement - 21st International Conference, PAM 2020, Proceedings. Sperotto, A., Dainotti, A. & Stiller, B. (eds.). Springer, p. 280-297 18 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12048 LNCS).

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

• Untangling molecular biodiversity

  Caetano-Anollés, G., Dec 2020, Untangling Molecular Biodiversity: Explaining Unity And Diversity Principles Of Organization With Molecular Structure And Evolutionary Genomics. Caetano-Anollés, G. (ed.). World Scientific, p. vii-x

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

• Untangling Molecular Biodiversity: Explaining Unity and Diversity Principles of Organization with Molecular Structure and Evolutionary Genomics

  Caetano-Anollés, G. (ed.), Dec 2020, World Scientific. 672 p.

  Research output: Book/Report/Conference proceeding › Book

• Untangling parameters: A formalized framework for identifying overlapping design parameters between two disciplines for creating an interdisciplinary parametric model

  Emami, N., Oct 2019, In: Advanced Engineering Informatics. 42, 100943.

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

• Untangling Pathology: The Moynihan Report and Homosexual Damage, 1965–1975

  Mumford, K. J., Feb 1 2012, In: Journal of Policy History. 24, 1, p. 53-73 21 p.

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

• Untangling planar curves

  Chang, H. C. & Erickson, J., Jun 1 2016, 32nd International Symposium on Computational Geometry, SoCG 2016. Fekete, S. & Lubiw, A. (eds.). Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing, p. 29.1-29.16 (Leibniz International Proceedings in Informatics, LIPIcs; vol. 51).

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

• Untangling Planar Curves

  Chang, H. C. & Erickson, J., Dec 1 2017, In: Discrete and Computational Geometry. 58, 4, p. 889-920 32 p.

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