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Chi-Chun Lee, Ph.D. - Publications

Affiliations: 
2012 Electrical Engineering University of Southern California, Los Angeles, CA, United States 
Area:
Electronics and Electrical Engineering, Behavioral Psychology, Computer Science
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21 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2020 Li J, Huang T, Chang C, Lee C. A Waveform-Feature Dual Branch Acoustic Embedding Network for Emotion Recognition Frontiers in Computer Science. 2. DOI: 10.3389/Fcomp.2020.00013  0.383
2020 Lin Y, Gau SS, Lee C. A Multimodal Interlocutor-Modulated Attentional BLSTM for Classifying Autism Subgroups During Clinical Interviews Ieee Journal of Selected Topics in Signal Processing. 14: 299-311. DOI: 10.1109/Jstsp.2020.2970578  0.392
2019 Hsiao S, Sun H, Hsieh M, Tsai M, Tsao Y, Lee C. Toward Automating Oral Presentation Scoring During Principal Certification Program Using Audio-Video Low-Level Behavior Profiles Ieee Transactions On Affective Computing. 10: 552-567. DOI: 10.1109/Taffc.2017.2749569  0.368
2017 Li C, Ko B, Wang Y, Li J, Weng P, Hou H, Liao X, Lin C, Liu J, Sun H, Tien H, Lee C, Tang J. An Artificial Intelligence Approach for Predicting Allogeneic Hematopoietic Stem Cell Transplantation Outcome By Detecting Pre-Transplant Minimal Residual Disease in Acute Myeloid Leukemia Using Flow Cytometry Data Blood. 130: 2042-2042. DOI: 10.1182/Blood.V130.Suppl_1.2042.2042  0.306
2017 Ko B, Li C, Wang Y, Li J, Hou H, Weng P, Tien H, Lee C, Tang J. An Artificial Intelligence Approach in Classifying Acute Myeloid Leukemia and Myelodysplastic Syndrome for Minimal Residual Disease Detection with Post Induction Prognosis Analysis Using Flow Cytometry Blood. 130: 1403-1403. DOI: 10.1182/Blood.V130.Suppl_1.1403.1403  0.313
2017 Bone D, Lee C, Chaspari T, Gibson J, Narayanan S. Signal Processing and Machine Learning for Mental Health Research and Clinical Applications [Perspectives] Ieee Signal Processing Magazine. 34: 196-195. DOI: 10.1109/Msp.2017.2718581  0.454
2017 Hussain T, Siniscalchi SM, Lee C, Wang S, Tsao Y, Liao W. Experimental Study on Extreme Learning Machine Applications for Speech Enhancement Ieee Access. 5: 25542-25554. DOI: 10.1109/Access.2017.2766675  0.313
2016 Chang CM, Tang HJ, Wang LR, Shih HI, Huang CC, Lee NY, Lee CC, Ko WC. Increasing resistance to fluoroquinolones among Haemophilus species in Southern Taiwan. Journal of Microbiology, Immunology, and Infection = Wei Mian Yu Gan Ran Za Zhi. PMID 27289531 DOI: 10.1016/j.jmii.2016.04.002  0.307
2016 Xu Z, Lee CC, Ramesh A, Mueller AC, Schlesinger D, Cohen-Inbar O, Shih HH, Sheehan JP. BRAF V600E mutation and BRAF kinase inhibitors in conjunction with stereotactic radiosurgery for intracranial melanoma metastases. Journal of Neurosurgery. 1-9. PMID 27203149 DOI: 10.3171/2016.2.Jns1633  0.336
2016 Shivatare SS, Chang SH, Tsai TI, Tseng SY, Shivatare VS, Lin YS, Cheng YY, Ren CT, Lee CC, Pawar S, Tsai CS, Shih HW, Zeng YF, Liang CH, Kwong PD, et al. Modular synthesis of N-glycans and arrays for the hetero-ligand binding analysis of HIV antibodies. Nature Chemistry. 8: 338-46. PMID 27001729 DOI: 10.1038/Nchem.2463  0.331
2015 Yi YH, Ma TH, Lee LW, Chiou PT, Chen PH, Lee CM, Chu YD, Yu H, Hsiung KC, Tsai YT, Lee CC, Chang YS, Chan SP, Tan BC, Lo SJ. A Genetic Cascade of let-7-ncl-1-fib-1 Modulates Nucleolar Size and rRNA Pool in Caenorhabditis elegans. Plos Genetics. 11: e1005580. PMID 26492166 DOI: 10.1371/journal.pgen.1005580  0.374
2015 Bone D, Goodwin MS, Black MP, Lee CC, Audhkhasi K, Narayanan S. Applying machine learning to facilitate autism diagnostics: pitfalls and promises. Journal of Autism and Developmental Disorders. 45: 1121-36. PMID 25294649 DOI: 10.1007/S10803-014-2268-6  0.68
2015 Metallinou A, Yang Z, Lee C, Busso C, Carnicke S, Narayanan S. The USC CreativeIT database of multimodal dyadic interactions: from speech and full body motion capture to continuous emotional annotations Language Resources and Evaluation. 50: 497-521. DOI: 10.1007/s10579-015-9300-0  0.694
2014 Bone D, Lee CC, Narayanan S. Robust Unsupervised Arousal Rating: A Rule-Based Framework with Knowledge-Inspired Vocal Features. Ieee Transactions On Affective Computing. 5: 201-213. PMID 25705327 DOI: 10.1109/Taffc.2014.2326393  0.501
2014 Bone D, Lee CC, Black MP, Williams ME, Lee S, Levitt P, Narayanan S. The psychologist as an interlocutor in autism spectrum disorder assessment: insights from a study of spontaneous prosody. Journal of Speech, Language, and Hearing Research : Jslhr. 57: 1162-77. PMID 24686340 DOI: 10.1044/2014_Jslhr-S-13-0062  0.469
2014 Lee CC, Katsamanis A, Black MP, Baucom BR, Christensen A, Georgiou PG, Narayanan SS. Computing vocal entrainment: A signal-derived PCA-based quantification scheme with application to affect analysis in married couple interactions Computer Speech and Language. 28: 518-539. DOI: 10.1016/J.Csl.2012.06.006  0.521
2013 Xiao B, Georgiou PG, Lee CC, Baucom B, Narayanan SS. Head motion synchrony and its correlation to affectivity in dyadic interactions Proceedings - Ieee International Conference On Multimedia and Expo. DOI: 10.1109/ICME.2013.6607480  0.476
2013 Black MP, Katsamanis A, Baucom BR, Lee CC, Lammert AC, Christensen A, Georgiou PG, Narayanan SS. Toward automating a human behavioral coding system for married couples' interactions using speech acoustic features Speech Communication. 55: 1-21. DOI: 10.1016/J.Specom.2011.12.003  0.659
2011 Lee C, Mower E, Busso C, Lee S, Narayanan S. Emotion recognition using a hierarchical binary decision tree approach Speech Communication. 53: 1162-1171. DOI: 10.1016/J.Specom.2011.06.004  0.693
2011 Lee CC, Katsamanis A, Black MP, Baucom BR, Georgiou PG, Narayanan SS. Affective state recognition in married couples' interactions using PCA-based vocal entrainment measures with multiple instance learning Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6975: 31-41. DOI: 10.1007/978-3-642-24571-8_4  0.483
2008 Busso C, Bulut M, Lee C, Kazemzadeh A, Mower E, Kim S, Chang JN, Lee S, Narayanan SS. IEMOCAP: interactive emotional dyadic motion capture database Language Resources and Evaluation. 42: 335-359. DOI: 10.1007/s10579-008-9076-6  0.699
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