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Jihie Kim
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- affiliation: Dongguk University, Seoul, South Korea
- affiliation (former): University of Southern California, Information Sciences Institute, Los Angeles, USA
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2020 – today
- 2024
- [j28]Atif Latif, Jihie Kim:
Evaluation and Analysis of Large Language Models for Clinical Text Augmentation and Generation. IEEE Access 12: 48987-48996 (2024) - [j27]Jinkyu Lee, Jihie Kim:
Improving Commonsense Bias Classification by Mitigating the Influence of Demographic Terms. IEEE Access 12: 161480-161489 (2024) - [j26]Minhah Saleem, Jihie Kim:
Intent aware data augmentation by leveraging generative AI for stress detection in social media texts. PeerJ Comput. Sci. 10: e2156 (2024) - [c87]Zhixuan Liu, Peter Schaldenbrand, Beverley-Claire Okogwu, Wenxuan Peng, Wenxuan Peng, Youngsik Yun, Andrew Hundt, Jihie Kim, Jean Oh:
SCoFT: Self-Contrastive Fine-Tuning for Equitable Image Generation. CVPR 2024: 10822-10832 - [c86]Youngsik Yun, Jihie Kim:
CIC: A Framework for Culturally-Aware Image Captioning. IJCAI 2024: 1625-1633 - [c85]Yanggyu Lee, Suchae Jeong, Jihie Kim:
Improving LLM Classification of Logical Errors by Integrating Error Relationship into Prompts. ITS (1) 2024: 91-103 - [i19]Zhixuan Liu, Peter Schaldenbrand, Beverley-Claire Okogwu, Wenxuan Peng, Youngsik Yun, Andrew Hundt, Jihie Kim, Jean Oh:
SCoFT: Self-Contrastive Fine-Tuning for Equitable Image Generation. CoRR abs/2401.08053 (2024) - [i18]Youngsik Yun, Jihie Kim:
CIC: A framework for Culturally-aware Image Captioning. CoRR abs/2402.05374 (2024) - [i17]Yanggyu Lee, Suchae Jeong, Jihie Kim:
Improving LLM Classification of Logical Errors by Integrating Error Relationship into Prompts. CoRR abs/2404.19336 (2024) - [i16]JinKyu Lee, Jihie Kim:
Improving Commonsense Bias Classification by Mitigating the Influence of Demographic Terms. CoRR abs/2406.07229 (2024) - [i15]Chongmin Lee, Jihie Kim:
Biomarker based Cancer Classification using an Ensemble with Pre-trained Models. CoRR abs/2406.10087 (2024) - [i14]Sungmin Kang, Jaeha Song, Jihie Kim:
Advancing Medical Image Segmentation: Morphology-Driven Learning with Diffusion Transformer. CoRR abs/2408.00347 (2024) - [i13]Yanggyu Lee, Jihie Kim:
Evaluating Consistencies in LLM responses through a Semantic Clustering of Question Answering. CoRR abs/2410.15440 (2024) - 2023
- [j25]Seunguook Lim, Jihie Kim:
SAPBERT: Speaker-Aware Pretrained BERT for Emotion Recognition in Conversation. Algorithms 16(1): 8 (2023) - [j24]Kyung-yeul Kim, Young-bo Yang, Mi-ra Kim, Ji Su Park, Jihie Kim:
Predicting adolescent violence in Wartegg-ZeichenTest drawing images based on deep learning. Connect. Sci. 35(1) (2023) - [j23]Gawon Lee, Jihie Kim:
MTGEA: A Multimodal Two-Stream GNN Framework for Efficient Point Cloud and Skeleton Data Alignment. Sensors 23(5): 2787 (2023) - [c84]JinKyu Lee, Jihie Kim:
Improving Generation of Sentiment Commonsense by Bias Mitigation. BigComp 2023: 308-311 - [c83]SeJoon Park, Jihie Kim:
DAG-GCN: Directed Acyclic Causal Graph Discovery from Real World Data using Graph Convolutional Networks. BigComp 2023: 318-319 - [i12]Zhixuan Liu, Youeun Shin, Beverley-Claire Okogwu, Youngsik Yun, Lia Coleman, Peter Schaldenbrand, Jihie Kim, Jean Oh:
Towards Equitable Representation in Text-to-Image Synthesis Models with the Cross-Cultural Understanding Benchmark (CCUB) Dataset. CoRR abs/2301.12073 (2023) - 2022
- [j22]Yoojin An, Sangyeon Kim, Yuxuan Liang, Roger Zimmermann, Dongho Kim, Jihie Kim:
Content-Attribute Disentanglement for Generalized Zero-Shot Learning. IEEE Access 10: 58320-58331 (2022) - [j21]Hojun Lee, Hyunjun Cho, Jieun Park, Jinyeong Chae, Jihie Kim:
Cross Encoder-Decoder Transformer with Global-Local Visual Extractor for Medical Image Captioning. Sensors 22(4): 1429 (2022) - [c82]Jinyeong Chae, Jihie Kim:
Uncertainty-based Visual Question Answering: Estimating Semantic Inconsistency between Image and Knowledge Base. IJCNN 2022: 1-9 - [c81]Junghun Kim, Jihie Kim:
CMSBERT-CLR: Context-driven Modality Shifting BERT with Contrastive Learning for linguistic, visual, acoustic Representations. IJCNN 2022: 1-8 - [c80]Hyunwook Kang, Devamanyu Hazarika, Dongho Kim, Jihie Kim:
Zero-Shot Visual Emotion Recognition by Exploiting BERT. IntelliSys (2) 2022: 485-494 - [c79]Junghun Kim, Yoojin An, Jihie Kim:
Improving Speech Emotion Recognition Through Focus and Calibration Attention Mechanisms. INTERSPEECH 2022: 136-140 - [i11]Jinyeong Chae, Jihie Kim:
Uncertainty-based Visual Question Answering: Estimating Semantic Inconsistency between Image and Knowledge Base. CoRR abs/2207.13242 (2022) - [i10]Junghun Kim, Jihie Kim:
Representation Learning with Graph Neural Networks for Speech Emotion Recognition. CoRR abs/2208.09830 (2022) - [i9]Junghun Kim, Yoojin An, Jihie Kim:
Improving Speech Emotion Recognition Through Focus and Calibration Attention Mechanisms. CoRR abs/2208.10491 (2022) - [i8]Junghun Kim, Jihie Kim:
CMSBERT-CLR: Context-driven Modality Shifting BERT with Contrastive Learning for linguistic, visual, acoustic Representations. CoRR abs/2209.07424 (2022) - 2021
- [j20]Jinyeong Chae, Roger Zimmermann, Dongho Kim, Jihie Kim:
Attentive Transfer Learning via Self-supervisedLearning for Cervical Dysplasia Diagnosis. J. Inf. Process. Syst. 17(3): 453-461 (2021) - [c78]Jinyeong Chae, Ying Zhang, Roger Zimmermann, Dongho Kim, Jihie Kim:
An Attention-Based Deep Learning Model with Interpretable Patch-Weight Sharing for Diagnosing Cervical Dysplasia. IntelliSys (3) 2021: 634-642 - [i7]Jinyeong Chae, Ki Yong Hong, Jihie Kim:
A Pressure Ulcer Care System For Remote Medical Assistance: Residual U-Net with an Attention Model Based for Wound Area Segmentation. CoRR abs/2101.09433 (2021) - 2020
- [c77]Sangyeon Kim, Gawon Lee, Jihie Kim:
Lightweight Real-time Fall Detection using Bidirectional Recurrent Neural Network. SCIS/ISIS 2020: 1-5
2010 – 2019
- 2019
- [j19]Heriberto Cuayáhuitl, Donghyeon Lee, Seonghan Ryu, Yongjin Cho, Sungja Choi, Satish Reddy Indurthi, Seunghak Yu, Hyungtak Choi, Inchul Hwang, Jihie Kim:
Ensemble-based deep reinforcement learning for chatbots. Neurocomputing 366: 118-130 (2019) - [c76]Heriberto Cuayáhuitl, Donghyeon Lee, Seonghan Ryu, Sungja Choi, Inchul Hwang, Jihie Kim:
Deep Reinforcement Learning for Chatbots Using Clustered Actions and Human-Likeness Rewards. IJCNN 2019: 1-8 - [i6]Heriberto Cuayáhuitl, Donghyeon Lee, Seonghan Ryu, Sungja Choi, Inchul Hwang, Jihie Kim:
Deep Reinforcement Learning for Chatbots Using Clustered Actions and Human-Likeness Rewards. CoRR abs/1908.10331 (2019) - [i5]Heriberto Cuayáhuitl, Donghyeon Lee, Seonghan Ryu, Yongjin Cho, Sungja Choi, Satish Reddy Indurthi, Seunghak Yu, Hyungtak Choi, Inchul Hwang, Jihie Kim:
Ensemble-Based Deep Reinforcement Learning for Chatbots. CoRR abs/1908.10422 (2019) - 2018
- [c75]Inchul Hwang, Heesik Jeon, Hyung Rai Oh, Donghyeon Lee, Munjo Kim, Jihie Kim:
Chatti: A Conversational Chatbot Platform. AAAI Workshops 2018: 145-148 - [c74]Seunghak Yu, Nilesh Kulkarni, Haejun Lee, Jihie Kim:
On-Device Neural Language Model Based Word Prediction. COLING (Demos) 2018: 128-131 - [c73]Seohyun Back, Seunghak Yu, Sathish Reddy Indurthi, Jihie Kim, Jaegul Choo:
MemoReader: Large-Scale Reading Comprehension through Neural Memory Controller. EMNLP 2018: 2131-2140 - [c72]Hyungtak Choi, Siddarth K. M., Haehun Yang, Heesik Jeon, Inchul Hwang, Jihie Kim:
Self-Learning Architecture for Natural Language Generation. INLG 2018: 165-170 - [i4]Heriberto Cuayáhuitl, Seonghan Ryu, Donghyeon Lee, Jihie Kim:
A Study on Dialogue Reward Prediction for Open-Ended Conversational Agents. CoRR abs/1812.00350 (2018) - 2017
- [c71]Seunghak Yu, Nilesh Kulkarni, Haejun Lee, Jihie Kim:
Syllable-level Neural Language Model for Agglutinative Language. SWCN@EMNLP 2017: 92-96 - [i3]Seunghak Yu, Nilesh Kulkarni, Haejun Lee, Jihie Kim:
An Embedded Deep Learning based Word Prediction. CoRR abs/1707.01662 (2017) - [i2]Seunghak Yu, Nilesh Kulkarni, Haejun Lee, Jihie Kim:
Syllable-level Neural Language Model for Agglutinative Language. CoRR abs/1708.05515 (2017) - 2016
- [c70]Heesik Jeon, Hyung Rai Oh, Inchul Hwang, Jihie Kim:
An Intelligent Dialogue Agent for the IoT Home. AAAI Workshop: Artificial Intelligence Applied to Assistive Technologies and Smart Environments 2016 - [c69]Devendra Singh Chaplot, Eunhee Rhim, Jihie Kim:
Personalized Adaptive Learning using Neural Networks. L@S 2016: 165-168 - 2015
- [c68]Devendra Singh Chaplot, Eunhee Rhim, Jihie Kim:
Predicting Student Attrition in MOOCs using Sentiment Analysis and Neural Networks. AIED Workshops 2015 - [c67]Devendra Singh Chaplot, Eunhee Rhim, Jihie Kim:
SAP: Student Attrition Predictor. EDM 2015: 635-636 - 2014
- [j18]Rohit Kumar, Jihie Kim:
Special Issue on Intelligent Support for Learning in Groups. Int. J. Artif. Intell. Educ. 24(1): 1-7 (2014) - [j17]Jae-Bong Yoo, Jihie Kim:
Can Online Discussion Participation Predict Group Project Performance? Investigating the Roles of Linguistic Features and Participation Patterns. Int. J. Artif. Intell. Educ. 24(1): 8-32 (2014) - [j16]Jihie Kim, Erin Shaw:
Scaffolding student online discussions using past discussions: PedaBot studies. Artif. Intell. Rev. 41(1): 97-112 (2014) - [j15]Jihie Kim, Jeon-Hyung Kang:
Towards identifying unresolved discussions in student online forums. Appl. Intell. 40(4): 601-612 (2014) - [c66]Jae-Bong Yoo, Jihie Kim:
Capturing Difficulty Expressions in Student Online Q&A Discussions. AAAI 2014: 208-214 - 2013
- [c65]Yu-Han Chang, Rajiv T. Maheswaran, Jihie Kim, Linwei Zhu:
Analysis of Emotion and Engagement in a STEM Alternate Reality Game. AIED 2013: 657-660 - [c64]Yu-Han Chang, Rajiv T. Maheswaran, Jihie Kim, Linwei Zhu:
Analysis of Emotion and Engagement in a STEM Alternate Reality Game. AIED Workshops 2013 - [c63]Shitian Shen, Jihie Kim:
Modeling the Process of Online Q&A Discussions Using a Dialogue State Model. AIED 2013: 674-678 - [c62]Jihie Kim, Rohit Kumar:
2nd Workshop on Intelligent Support for Learning in Groups. AIED 2013: 944 - [c61]Shitian Shen, Jihie Kim:
Modeling the Process of Online Q&A Discussions using a Dialogue State Model. AIED Workshops 2013 - [c60]Shitian Shen, Jihie Kim, Jae-Bong Yoo:
Reciprocity in Student Online Discussions. CSCL (2) 2013: 157-160 - [c59]Sen Liu, Jihie Kim, Sofus A. Macskassy:
Predicting Group Programming Project Performance using SVN Activity Traces. EDM 2013: 330-331 - [c58]Jihie Kim, Kwangyong Lim, Youngjung Uh, Seunggyu Kim, Yeongwoo Choi, Hyeran Byun:
Real-time Korean traffic sign detection and recognition. ICUIMC 2013: 19 - [c57]Jihie Kim, Seunggyu Kim, Kwangyong Lim, Yeongwoo Choi, Hyeran Byun:
Real-time traffic sign detection with vehicle camera images. ICUIMC 2013: 20 - [c56]Jihie Kim, Jae-Bong Yoo, Ho Lim, Huida Qiu, Zornitsa Kozareva, Aram Galstyan:
Sentiment Prediction Using Collaborative Filtering. ICWSM 2013 - [c55]Mahdy Khayyamian, Jihie Kim:
An intelligent web-based interface for programming content detection in q&a forums. IUI Companion 2013: 67-68 - [c54]Mahdy Khayyamian, Jihie Kim:
Capturing programming content in online discussions. K-CAP 2013: 57-64 - [e2]Jihie Kim, Jeffrey Nichols, Pedro A. Szekely:
18th International Conference on Intelligent User Interfaces, IUI 2013, Santa Monica, CA, USA, March 19-22, 2013. ACM 2013, ISBN 978-1-4503-1965-2 [contents] - [e1]Jihie Kim, Jeffrey Nichols, Pedro A. Szekely:
18th International Conference on Intelligent User Interfaces, IUI '13, Santa Monica, CA, USA, March 19-22, 2013, Companion Volume. ACM 2013, ISBN 978-1-4503-1966-9 [contents] - 2012
- [c53]Jihie Kim, Erin Shaw, Hao Xu, Adarsh G. V.:
Assisting Instructor Assessment of Undergraduate Collaborative Wiki and SVN Activities. EDM 2012: 10-16 - [c52]Jae-Bong Yoo, Jihie Kim:
Predicting Learner's Project Performance with Dialogue Features in Online Q&A Discussions. ITS 2012: 570-575 - [c51]Jun Park, Jihie Kim:
Classifying Topics of Video Lecture Contents Using Speech Recognition Technology. ITS 2012: 694-695 - [c50]Jihie Kim, Yu-Han Chang, Sen Cai, Siddharth Jain:
PedConnect: an intelligent assistant for teacher social networking. IUI 2012: 71-74 - [c49]Jihie Kim, Jae-Bong Yoo:
Role of Sentiment in Message Propagation: Reply vs. Retweet Behavior in Political Communication. SocialInformatics 2012: 131-136 - 2011
- [j14]Yolanda Gil, Varun Ratnakar, Jihie Kim, Pedro A. González-Calero, Paul Groth, Joshua Moody, Ewa Deelman:
Wings: Intelligent Workflow-Based Design of Computational Experiments. IEEE Intell. Syst. 26(1): 62-72 (2011) - [j13]Kyung Dong Ryu, Kang-Won Lee, Jihie Kim:
Preface for KOCSEA Special Issue. J. Comput. Sci. Eng. 5(1): 32 (2011) - [j12]Yolanda Gil, Pedro A. González-Calero, Jihie Kim, Joshua Moody, Varun Ratnakar:
A semantic framework for automatic generation of computational workflows using distributed data and component catalogues. J. Exp. Theor. Artif. Intell. 23(4): 389-467 (2011) - [c48]Jun Ma, Jeon-Hyung Kang, Erin Shaw, Jihie Kim:
Workflow-Based Assessment of Student Online Activities with Topic and Dialogue Role Classification. AIED 2011: 187-195 - [c47]Chitrabharathi Ganapathy, Jeon-Hyung Kang, Erin Shaw, Jihie Kim:
Classification Techniques for Assessing Student Collaboration in Shared Wiki Spaces. AIED 2011: 456-458 - [c46]Jihie Kim, Yu-Han Chang, Sen Cai, Saurabh Dhupar:
Modeling Mentoring Dialogue within a Teacher Social Networking Site. AIED 2011: 487-490 - [c45]Soo Won Seo, Jeon-Hyung Kang, Joanna Drummond, Jihie Kim:
Using Graphical Models to Classify Dialogue Transition in Online Q&A Discussions. AIED 2011: 550-553 - [c44]Jae-Bong Yoo, Erin Shaw, Jihie Kim:
Can participation and procrastination in discussion forums predict project performance in computer science courses? CSCL 2011 - [c43]Jeon-Hyung Kang, Jihie Kim:
Analyzing Answers in Threaded Discussions Using a Role-Based Information Network. SocialCom/PASSAT 2011: 111-117 - [p1]Jihie Kim, Karen L. Myers, Melinda T. Gervasio, Yolanda Gil:
Goal-Directed Metacontrol for Integrated Procedure Learning. Metareasoning 2011: 77-100 - [i1]Jeon-Hyung Kang, Jihie Kim:
Analyzing Answers in Threaded Discussions using a Role-Based Information Network. CoRR abs/1110.4844 (2011) - 2010
- [j11]Vijay S. Kumar, Tahsin M. Kurç, Varun Ratnakar, Jihie Kim, Gaurang Mehta, Karan Vahi, Yoon-Ju Lee Nelson, P. Sadayappan, Ewa Deelman, Yolanda Gil, Mary W. Hall, Joel H. Saltz:
Parameterized specification, configuration and execution of data-intensive scientific workflows. Clust. Comput. 13(3): 315-333 (2010) - [j10]Jihie Kim, Yolanda Gil, Marc Spraragen:
Principles for interactive acquisition and validation of workflows. J. Exp. Theor. Artif. Intell. 22(2): 103-134 (2010) - [c42]Jun Ma, Erin Shaw, Jihie Kim:
Computational Workflows for Assessing Student Learning. Intelligent Tutoring Systems (2) 2010: 188-197 - [c41]Jeon-Hyung Kang, Jihie Kim, Erin Shaw:
A Network Analysis of Student Groups in Threaded Discussions. Intelligent Tutoring Systems (2) 2010: 359-361 - [c40]Jae-Bong Yoo, Jihie Kim, Chan-Young Park:
Road Reservation for Fast and Safe Emergency Vehicle Response Using Ubiquitous Sensor Network. SUTC/UMC 2010: 353-358
2000 – 2009
- 2009
- [c39]Jihie Kim, Taehwan Kim, Jia Li:
Identifying Unresolved Issues in Online Student Discussions: A Multi-Phase Dialogue Classification Approach. AIED 2009: 704-706 - [c38]Erin Shaw, Jihie Kim, Pachara Supanakoon:
MentorMatch: Using student mentors to scaffold participation and learning within an online discussion board. AIED 2009: 710-712 - [c37]Vijay S. Kumar, P. Sadayappan, Gaurang Mehta, Karan Vahi, Ewa Deelman, Varun Ratnakar, Jihie Kim, Yolanda Gil, Mary W. Hall, Tahsin M. Kurç, Joel H. Saltz:
An integrated framework for performance-based optimization of scientific workflows. HPDC 2009: 177-186 - [c36]Jihie Kim, Erin Shaw:
Pedagogical Discourse: Connecting Students to Past Discussions and Peer Mentors within an Online Discussion Board. IAAI 2009 - [c35]Yolanda Gil, Jihie Kim, Gonzalo Flórez Puga, Varun Ratnakar, Pedro A. González-Calero:
Workflow matching using semantic metadata. K-CAP 2009: 121-128 - [c34]Jihie Kim, Jia Li, Taehwan Kim:
Identifying student online discussions with unanswered questions. K-CAP 2009: 195-196 - 2008
- [j9]Luc Moreau, Bertram Ludäscher, Ilkay Altintas, Roger S. Barga, Shawn Bowers, Steven P. Callahan, George Chin Jr., Ben Clifford, Shirley Cohen, Sarah Cohen Boulakia, Susan B. Davidson, Ewa Deelman, Luciano A. Digiampietri, Ian T. Foster, Juliana Freire, James Frew, Joe Futrelle, Tara Gibson, Yolanda Gil, Carole A. Goble, Jennifer Golbeck, Paul Groth, David A. Holland, Sheng Jiang, Jihie Kim, David Koop, Ales Krenek, Timothy M. McPhillips, Gaurang Mehta, Simon Miles, Dominic Metzger, Steve Munroe, Jim Myers, Beth Plale, Norbert Podhorszki, Varun Ratnakar, Emanuele Santos, Carlos Eduardo Scheidegger, Karen Schuchardt, Margo I. Seltzer, Yogesh L. Simmhan, Cláudio T. Silva, Peter Slaughter, Eric G. Stephan, Robert Stevens, Daniele Turi, Huy T. Vo, Michael Wilde, Jun Zhao, Yong Zhao:
Special Issue: The First Provenance Challenge. Concurr. Comput. Pract. Exp. 20(5): 409-418 (2008) - [j8]Jihie Kim, Ewa Deelman, Yolanda Gil, Gaurang Mehta, Varun Ratnakar:
Provenance trails in the Wings/Pegasus system. Concurr. Comput. Pract. Exp. 20(5): 587-597 (2008) - [c33]Vijay S. Kumar, Mary W. Hall, Jihie Kim, Yolanda Gil, Tahsin M. Kurç, Ewa Deelman, Varun Ratnakar, Joel H. Saltz:
Designing and parameterizing a workflow for optimization: A case study in biomedical imaging. IPDPS 2008: 1-5 - [c32]Jihie Kim, Erin Shaw, Sujith Ravi, Erin Tavano, Aniwat Arromratana, Pankaj Sarda:
Scaffolding On-Line Discussions with Past Discussions: An Analysis and Pilot Study of PedaBot. Intelligent Tutoring Systems 2008: 343-352 - [c31]Lawrence D. Bergman, Jihie Kim, Bamshad Mobasher, Stefan M. Rüger, Stefan Siersdorfer, Sergej Sizov, Markus Stolze:
International workshop on recommendation and collaboration (ReColl 2008). IUI 2008: 439 - 2007
- [j7]Jihie Kim, Yolanda Gil:
Incorporating tutoring principles into interactive knowledge acquisition. Int. J. Hum. Comput. Stud. 65(10): 852-872 (2007) - [c30]Yolanda Gil, Varun Ratnakar, Ewa Deelman, Gaurang Mehta, Jihie Kim:
Wings for Pegasus: Creating Large-Scale Scientific Applications Using Semantic Representations of Computational Workflows. AAAI 2007: 1767-1774 - [c29]Jihie Kim, Erin Shaw, Grace Chern, Donghui Feng:
An Intelligent Discussion-Bot for Guiding Student Interactions in Threaded Discussions. AAAI Spring Symposium: Interaction Challenges for Intelligent Assistants 2007: 66-71 - [c28]Sujith Ravi, Jihie Kim:
Profiling Student Interactions in Threaded Discussions with Speech Act Classifiers. AIED 2007: 357-364 - [c27]Jihie Kim, Erin Shaw, Grace Chern, Roshan Herbert:
Novel Tools for Assessing Student Discussions: Modeling threads and participant roles using speech act and course topic analysis. AIED 2007: 590-592 - [c26]Jihie Kim, Erin Shaw, Grace Chern, Donghui Feng:
An Intelligent Discussion-Bot for Guiding Student Interactions in Threaded Discussions. Interaction Challenges for Intelligent Assistants 2007: 66-71 - 2006
- [c25]Donghui Feng, Jihie Kim, Erin Shaw, Eduard H. Hovy:
Towards Modeling Threaded Discussions using Induced Ontology Knowledge. AAAI 2006: 1289-1294 - [c24]Donghui Feng, Erin Shaw, Jihie Kim, Eduard H. Hovy:
An intelligent discussion-bot for answering student queries in threaded discussions. IUI 2006: 171-177 - [c23]Donghui Feng, Erin Shaw, Jihie Kim, Eduard H. Hovy:
Learning to Detect Conversation Focus of Threaded Discussions. HLT-NAACL 2006 - [c22]Yolanda Gil, Jihie Kim, Varun Ratnakar, Ewa Deelman:
Wings for Pegasus: A Semantic Approach to Creating Very Large Scientific Workflows. OWLED 2006 - [c21]Jihie Kim, Yolanda Gil, Varun Ratnakar:
Semantic Metadata Generation for Large Scientific Workflows. ISWC 2006: 357-370 - 2005
- [j6]Philip Maechling, Hans Chalupsky, Maureen Dougherty, Ewa Deelman, Yolanda Gil, Sridhar Gullapalli, Vipin Gupta, Carl Kesselman, Jihie Kim, Gaurang Mehta, Brian Mendenhall, Thomas A. Russ, Gurmeet Singh, Marc Spraragen, Garrick Staples, Karan Vahi:
Simplifying construction of complex workflows for non-expert users of the Southern California Earthquake Center Community Modeling Environment. SIGMOD Rec. 34(3): 24-30 (2005) - [c20]Jihie Kim, Carole R. Beal, Zeeshan Maqbool:
Developing Teaching Aids for Distance Education. AIED 2005: 848-850 - [c19]Jihie Kim:
Reflection Patterns for Interactive Knowledge Capture. IJCAI 2005: 1566-1567 - [c18]Jihie Kim:
Meta-level patterns for interactive knowledge capture. K-CAP 2005: 207-208 - [c17]