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2020 – today
- 2024
[j16]Bo Wang
, Tsunenori Mine:
One Stone, Four Birds: A Comprehensive Solution for QA System Using Supervised Contrastive Learning. IEEE Access 12: 148488-148501 (2024)- [j15]Shaowen Peng, Kazunari Sugiyama, Tsunenori Mine:
Less is More: Removing Redundancy of Graph Convolutional Networks for Recommendation. ACM Trans. Inf. Syst. 42(3): 85:1-85:26 (2024) - [c121]Yusuke Miyake, Ryuji Watanabe, Tsunenori Mine:
Online Nonstationary and Nonlinear Bandits with Recursive Weighted Gaussian Process. COMPSAC 2024: 11-20 - [c120]Kensuke Taninaka, Yoshiki Furuya, Keigo Sakamoto, Tsunenori Mine, Shogo Fukushima:
Analyzing User Behavior in Scenario-Based Virtual Reality Environments Using Knowledge Graphs. IIAI-AAI 2024: 638-643 - [c119]Shaowen Peng, Xin Liu, Kazunari Sugiyama, Tsunenori Mine:
How Powerful is Graph Filtering for Recommendation. KDD 2024: 2388-2399 - [i8]Wei Wang, Yujie Lin, Pengjie Ren, Zhumin Chen, Tsunenori Mine, Jianli Zhao, Qiang Zhao, Moyan Zhang, Xianye Ben, Yujun Li:
Privacy-Preserving Sequential Recommendation with Collaborative Confusion. CoRR abs/2401.04423 (2024) - [i7]Shaowen Peng, Xin Liu, Kazunari Sugiyama, Tsunenori Mine:
How Powerful is Graph Filtering for Recommendation. CoRR abs/2406.08827 (2024) - [i6]Shaowen Peng, Kazunari Sugiyama, Xin Liu, Tsunenori Mine:
Balancing Embedding Spectrum for Recommendation. CoRR abs/2406.12032 (2024) - [i5]Bo Wang, Tsunenori Mine:
One Stone, Four Birds: A Comprehensive Solution for QA System Using Supervised Contrastive Learning. CoRR abs/2407.09011 (2024) - [i4]Menna Fateen, Bo Wang, Tsunenori Mine:
Beyond Scores: A Modular RAG-Based System for Automatic Short Answer Scoring with Feedback. CoRR abs/2409.20042 (2024) - 2023
- [j14]Landy Rajaonarivo, Tsunenori Mine:
Few-Shot Learning-Based Lesser-Known POI Category Estimation Based on Syntactic and Semantic Information. IEEE Access 11: 141100-141111 (2023) - [j13]Sei-ichiro Kamata, Tsunenori Mine:
Comments on Quasi-Linear Support Vector Machine for Nonlinear Classification. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 106(11): 1444-1445 (2023) - [c118]Menna Fateen, Tsunenori Mine:
Using Similarity Learning with SBERT to Optimize Teacher Report Embeddings for Academic Performance Prediction. AIED (Posters/Late Breaking Results/...) 2023: 720-726 - [c117]Bo Wang, Tsunenori Mine:
Optimizing Upstream Representations for Out-of-Domain Detection with Supervised Contrastive Learning. CIKM 2023: 2585-2595 - [c116]Naoki Eguchi, Isshin Nakao, Kotaro Saito, Juntao Wang, Hiromu Motomatsu, Tsunenori Mine:
iTOChat: a Mobile Bot Recommending Engineering Departments and Open Campus Events. ICMU 2023: 1-6 - [c115]Landy Rajaonarivo, Tsunenori Mine, Yutaka Arakawa:
Little Known POI Category Estimation via Syntactical Knowledge Graph Generated via Tweets. ISKE 2023: 187-194 - [c114]Juntao Wang, Tsunenori Mine:
Multi-Task Learning for Emotion Recognition in Conversation with Emotion Shift. PACLIC 2023: 257-266 - [c113]Bo Wang, Billy Dawton, Tsunenori Ishioka, Tsunenori Mine:
Optimizing Answer Representation Using Metric Learning for Efficient Short Answer Scoring. PRICAI (2) 2023: 236-248 - [c112]Yusuke Miyake, Tsunenori Mine:
Contextual and Nonstationary Multi-armed Bandits Using the Linear Gaussian State Space Model for the Meta-Recommender System. SMC 2023: 3138-3145 - [c111]Menna Fateen, Tsunenori Mine:
In-Context Meta-Learning vs. Semantic Score-Based Similarity: A Comparative Study in Arabic Short Answer Grading. ArabicNLP 2023: 350-358 - [c110]Landy Rajaonarivo, Tsunenori Mine, Yutaka Arakawa:
Few-shot and LightGCN Learning for Multi-Label Estimation of Lesser-Known Tourist Sites Using Tweets. WI/IAT 2023: 103-110 - 2022
- [j12]Yuichi Ishikawa, Roberto Legaspi, Kei Yonekawa, Yugo Nakamura, Shigemi Ishida, Tsunenori Mine, Yutaka Arakawa:
Unsupervised Learning of Domain-Independent User Attributes. IEEE Access 10: 119649-119665 (2022) - [j11]Ristu Saptono, Tsunenori Mine:
Distribution-Adapted Model for Helpful Vote Prediction. IEEE Access 10: 125194-125211 (2022) - [c109]Menna Fateen, Tsunenori Mine:
Extraction of Useful Observational Features from Teacher Reports for Student Performance Prediction. AIED (1) 2022: 620-625 - [c108]Shaowen Peng, Kazunari Sugiyama, Tsunenori Mine:
SVD-GCN: A Simplified Graph Convolution Paradigm for Recommendation. CIKM 2022: 1625-1634 - [c107]Shumpei Kobashi, Tsunenori Mine:
A System for Generating Student Progress Reports in Cram School. IIAI-AAI 2022: 43-48 - [c106]Makoto Yamada, Tsunenori Mine:
Modality estimation methods in internal training reflection texts using BERT. IIAI-AAI 2022: 118-123 - [c105]Landy Rajaonarivo, Tsunenori Mine, Yutaka Arakawa:
Coupling of semantic and syntactic graphs generated via tweets to detect local events. IIAI-AAI 2022: 128-133 - [c104]Kyouhei Ueno, Tsunenori Mine:
Automatic assessment of student understanding for estimateing test score. IIAI-AAI 2022: 224-229 - [c103]Yuichi Ishikawa, Nao Kobayashi, Yasushi Naruse, Yugo Nakamura, Shigemi Ishida, Tsunenori Mine, Yutaka Arakawa:
Learning Cross-Modal Factors from Multimodal Physiological Signals for Emotion Recognition. PRICAI (1) 2022: 438-450 - [c102]Bo Wang, Tsunenori Mine:
Practical and efficient out-of-domain detection with adversarial learning. SAC 2022: 853-862 - [c101]Shaowen Peng, Kazunari Sugiyama, Tsunenori Mine:
Less is More: Reweighting Important Spectral Graph Features for Recommendation. SIGIR 2022: 1273-1282 - [c100]Ristu Saptono, Tsunenori Mine:
Best Approximate Distribution-based Model for Helpful Vote of Customer Review Prediction. SMC 2022: 3427-3434 - [c99]Ristu Saptono, Tsunenori Mine:
Adaptive Neighborhood Distribution-based Model for Estimating Helpful Votes of Customer Review. WI/IAT 2022: 143-150 - [i3]Shaowen Peng, Kazunari Sugiyama, Tsunenori Mine:
Less is More: Reweighting Important Spectral Graph Features for Recommendation. CoRR abs/2204.11346 (2022) - [i2]Shaowen Peng, Kazunari Sugiyama, Tsunenori Mine:
SVD-GCN: A Simplified Graph Convolution Paradigm for Recommendation. CoRR abs/2208.12689 (2022) - 2021
- [j10]Yuta Sato, Takuya Kawatani, Tsunenori Mine:
Influence of Weather Features in Determining Sudden Braking. Int. J. Intell. Transp. Syst. Res. 19(2): 366-377 (2021) - [j9]Takuya Kawatani, Tsubasa Yamaguchi, Yuta Sato, Ryotaro Maita, Tsunenori Mine:
Prediction of Bus Travel Time over Intervals between Pairs of Adjacent Bus Stops Using City Bus Probe Data. Int. J. Intell. Transp. Syst. Res. 19(2): 456-467 (2021) - [c98]Jihed Makhlouf, Tsunenori Mine:
Mining Students' Comments to Build an Automated Feedback System. CSEDU (1) 2021: 15-25 - [c97]Menna Fateen, Tsunenori Mine:
Predicting Student Performance Using Teacher Observation Reports. EDM 2021 - [c96]Hanwei Zhang, Hiroshi Kawasaki, Tsunenori Mine, Shintaro Ono:
Focusing on Discrimination Between Road Conditions and Weather in Driving Video Analysis. IW-FCV 2021: 70-80 - [c95]Kohei Yamaguchi, Tsunenori Mine:
Estimation of Precedence Relations to Deal with Regional Complaint Reports. ICA 2021: 7-12 - [c94]Takuya Kawatani, Tsunenori Mine:
Determination of collection points of bus probe data to achieve high prediction performance and low collection cost. ICMU 2021: 1-6 - [c93]Landy Rajaonarivo, Tsunenori Mine, Yutaka Arakawa:
Automatic Generation of Event Ontology from Social Network and Mobile Positioning Data. WI/IAT 2021: 87-94 - 2020
- [j8]Mansur As, Tsunenori Mine, Tsubasa Yamaguchi:
Prediction of Bus Travel Time Over Unstable Intervals between Two Adjacent Bus Stops. Int. J. Intell. Transp. Syst. Res. 18(1): 53-64 (2020) - [c92]Ismail Parewai, Mansur As, Tsunenori Mine, Mario Koeppen:
Identification and Classification of Sashimi Food Using Multispectral Technology. APIT 2020: 66-72 - [c91]Jihed Makhlouf, Tsunenori Mine:
Prediction Models for Automatic Assessment to Students' Freely-written Comments. CSEDU (1) 2020: 77-86 - [c90]Jihed Makhlouf, Tsunenori Mine:
Automatic Evaluation of Students' Learning Experience Based on Their Freely-Written Comments. CSEDU (Selected Papers) 2020: 480-495 - [c89]Tsuneo Nakanishi, Yutaka Arakawa, Takahiro Ando, Shigemi Ishida, Kenji Hisazumi, Tsunenori Mine, Akira Fukuda:
An Inter-Organizational Software Architecture for Smart Mobility. ICSIE 2020: 41-46 - [c88]Haibo Yu, Qiang Sun, Kejun Xiao, Yuting Chen, Tsunenori Mine, Jianjun Zhao:
Parallelizing Flow-Sensitive Demand-Driven Points-to Analysis. QRS Companion 2020: 91-97 - [c87]Shaowen Peng, Tsunenori Mine:
Mixture-preference bayesian matrix factorization for implicit feedback datasets. SAC 2020: 1427-1434 - [c86]Ristu Saptono, Tsunenori Mine:
Time-based Sampling Methods for Detecting Helpful Reviews. WI/IAT 2020: 508-513 - [i1]Shaowen Peng, Tsunenori Mine:
A Robust Hierarchical Graph Convolutional Network Model for Collaborative Filtering. CoRR abs/2004.14734 (2020)
2010 – 2019
- 2019
- [c85]Tsunenori Mine, Sachio Hirokawa, Takahiko Suzuki:
Does Crime Activity Report Reveal Regional Characteristics? IMCOM 2019: 582-598 - [c84]Takuya Kawatani, Eisuke Itoh, Sachio Hirokawa, Tsunenori Mine:
Machine Learning and Visualization of Sudden Braking using Probe Data. IIAI-AAI 2019: 67-72 - [c83]Yusuke Tozaki, Takahiko Suzuki, Tsunenori Mine, Sachio Hirokawa:
Extracting Irregular Datasets in University Admission Statistics using Text Mining and Benford's Law. IIAI-AAI 2019: 1023-1024 - [c82]Takuya Kawatani, Eisuke Itoh, Sachio Hirokawa, Tsunenori Mine:
Location does not always determine sudden braking. ITSC 2019: 875-882 - 2018
- [c81]Tsubasa Yamaguchi, Mansur As, Tsunenori Mine:
Prediction of Bus Delay over Intervals on Various Kinds of Routes Using Bus Probe Data. BDCAT 2018: 97-106 - [c80]Mansur As, Tsunenori Mine:
Dynamic Bus Travel Time Prediction Using an ANN-based Model. IMCOM 2018: 20:1-20:8 - [c79]Akira Fukuda, Tsuneo Nakanishi, Kenji Hisazumi, Kunihiko Kaneko, Shigeaki Tagashira, Tsunenori Mine, Yutaka Arakawa, Shigemi Ishida, Takahiro Ando, Shuichi Ashihara, Masakatsu Ura, Yoshimichi Nakamura, Soichiro Nakamura, Weiqiang Kong, Guoqiang Li:
Toward Sustainable Smart Mobility Information Infrastructure Platform - Current Status -. IIAI-AAI 2018: 81-85 - [c78]Takahiro Ando, Ryo Fujii, Kenji Hisazumi, Tsunenori Mine, Tsuneo Nakanishi, Akira Fukuda:
Overview and Application Examples of Agent-Based Unified Simulation Environment. IIAI-AAI 2018: 92-97 - [c77]Tsunenori Mine, Shiro Mise, Hiroyuki Nakamura, Takuya Hiraoki, Shiori Koga, Takahiro Ando, Kenji Hisazumi, Tsuneo Nakanishi, Akira Fukuda:
ItoCamLife: A Platform of Sharing and Recommending Information Considering User Contexts to Facilitate Smart Mobility. IIAI-AAI 2018: 109-114 - [c76]Tsuneo Nakanishi, Kenji Hisazumi, Takahiro Ando, Tsunenori Mine, Akira Fukuda:
Software Engineering Practices for the Smart Mobility Market. IIAI-AAI 2018: 115-120 - [c75]Shaowen Peng, Xianzhong Xie, Tsunenori Mine, Chang Su:
Vector Representation Based Model Considering Randomness of User Mobility for Predicting Potential Users. PRIMA 2018: 70-85 - [c74]Yao Lin, Kohei Yamaguchi, Tsunenori Mine, Sachio Hirokawa:
Is SVM+FS Better to Satisfy Decision by Majority? SCDM 2018: 261-271 - [c73]Haibo Yu, Xi Jia, Tsunenori Mine, Jianjun Zhao:
Type Conversion Sequence Recommendation Based on Semantic Web Technology. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2018: 240-245 - 2017
- [j7]Shaymaa E. Sorour, Kazumasa Goda, Tsunenori Mine:
Comment Data Mining to Estimate Student Performance Considering Consecutive Lessons. J. Educ. Technol. Soc. 20(1): 73-86 (2017) - [c72]Masaki Maruta, Tsunenori Mine:
Detecting Communication Situations Using Smartphone Sensors - Toward Real SNS -. IIAI-AAI 2017: 465-470 - [c71]Sachio Hirokawa, Takahiko Suzuki, Tsunenori Mine:
Machine learning is better than human to satisfy decision by majority. WI 2017: 694-701 - 2016
- [c70]Shaymaa E. Sorour, Tsunenori Mine:
Exploring students' learning attributes in consecutive lessons to improve prediction performance. ACSW 2016: 2 - [c69]Shaymaa E. Sorour, Shaymaa Abd El Rahman, Tsunenori Mine:
Teacher interventions to enhance the quality of student comments and their effect on prediction performance. FIE 2016: 1-9 - [c68]Mansur As, Tsunenori Mine:
Empirical Study of Travel Time Variability Using Bus Probe Data. ICA 2016: 146-149 - [c67]Kenji Hisazumi, Tsuneo Nakanishi, Shota Ishibashi, Go Hirakawa, Tsunenori Mine, Takahiro Ando, Hiroki Furusho, Akira Fukuda:
Operation Phase Metrics for Smart Mobility Platform. ICA 2016: 150-153 - [c66]Shaymaa E. Sorour, Shaimaa Abd El Rahman, Samir A. Kahouf, Tsunenori Mine:
Understandable Prediction Models of Student Performance Using an Attribute Dictionary. ICWL 2016: 161-171 - [c65]Akira Fukuda, Kenji Hisazumi, Shigemi Ishida, Tsunenori Mine, Tsuneo Nakanishi, Hiroki Furusho, Shigeaki Tagashira, Yutaka Arakawa, Kunihiko Kaneko, Weiqiang Kong:
Towards Sustainable Information Infrastructure Platform for Smart Mobility - Project Overview. IIAI-AAI 2016: 211-214 - [c64]Hiroyuki Nakamura, Shiro Mise, Tsunenori Mine:
Personalized Recommendation for Public Transportation Using User Context. IIAI-AAI 2016: 224-229 - [c63]Shaymaa E. Sorour, Tsunenori Mine:
Building an Interpretable Model of Predicting Student Performance Using Comment Data Mining. IIAI-AAI 2016: 285-291 - [c62]Yuta Sano, Tsunenori Mine:
Extraction of current actual status and demand expressions from complaint reports. iiWAS 2016: 149-153 - [c61]Haibo Yu, Wenhao Song, Tsunenori Mine:
APIBook: an effective approach for finding APIs. Internetware 2016: 45-53 - 2015
- [j6]Shaymaa E. Sorour, Tsunenori Mine, Kazumasa Goda, Sachio Hirokawa:
A Predictive Model to Evaluate Student Performance. J. Inf. Process. 23(2): 192-201 (2015) - [j5]Tsunenori Mine:
Editor's Message to Special Issue on E-Service and Knowledge Management toward Smart Computing Society. J. Inf. Process. 23(6): 744 (2015) - [j4]Shaymaa E. Sorour, Kazumasa Goda, Tsunenori Mine:
Evaluation of Effectiveness of Time-Series Comments by Using Machine Learning Techniques. J. Inf. Process. 23(6): 784-794 (2015) - [c60]Shaymaa E. Sorour, Kazumasa Goda, Tsunenori Mine:
Student Performance Estimation Based on Topic Models Considering a Range of Lessons. AIED 2015: 790-793 - [c59]Jingyi Luo, Shaymaa E. Sorour, Tsunenori Mine, Kazumasa Goda:
Predicting Student Grade based on Free-style Comments using Word2Vec and ANN by Considering Prediction Results Obtained in Consecutive Lessons. EDM 2015: 396-399 - [c58]Shaymaa E. Sorour, Jingyi Luo, Kazumasa Goda, Tsunenori Mine:
Correlation of Grade Prediction Performance with Characteristics of Lesson Subject. ICALT 2015: 247-249 - [c57]Masaki Maruta, Yuta Sano, Kohei Yamaguchi, Tsunenori Mine:
Visitor Behavior Analysis Based on Large-Scale Wi-Fi Location Data. IIAI-AAI 2015: 55-60 - [c56]Yuta Sano, Kohei Yamaguchi, Tsunenori Mine:
Category Estimation of Complaint Reports about City Park. IIAI-AAI 2015: 61-66 - [c55]Shaymaa E. Sorour, Kazumasa Goda, Tsunenori Mine:
Estimation of Student Performance by Considering Consecutive Lessons. IIAI-AAI 2015: 121-126 - [c54]Shaymaa E. Sorour, Kazumasa Goda, Tsunenori Mine:
Correlation of Topic Model and Student Grades Using Comment Data Mining. SIGCSE 2015: 441-446 - [p1]Hiroyuki Nakamura, Yuan Gao, He Gao, Hongliang Zhang, Akifumi Kiyohiro, Tsunenori Mine:
Adaptive User Interface for Personalized Transportation Guidance System. Tourism Informatics 2015: 119-134 - 2014
- [c53]Shaymaa E. Sorour, Tsunenori Mine, Kazumasa Goda, Sachio Hirokawa:
Efficiency of LSA and K-means in Predicting Students' Academic Performance Based on Their Comments Data. CSEDU (1) 2014: 63-74 - [c52]Shaymaa E. Sorour, Tsunenori Mine, Kazumasa Goda, Sachio Hirokawa:
Predicting students' grades based on free style comments data by artificial neural network. FIE 2014: 1-9 - [c51]Shaymaa E. Sorour, Tsunenori Mine, Kazumasa Goda, Sachio Hirokawa:
Prediction of Students' Grades Based on Free-Style Comments Data. ICWL 2014: 142-151 - [c50]Shaymaa E. Sorour, Tsunenori Mine, Kazumasa Goda, Sachio Hirokawa:
Comments Data Mining for Evaluating Student's Performance. IIAI-AAI 2014: 25-30 - [c49]Hiroyuki Nakamura, Yuan Gao, He Gao, Hongliang Zhang, Akifumi Kiyohiro, Tsunenori Mine:
Toward Personalized Public Transportation Recommendation System with Adaptive User Interface. IIAI-AAI 2014: 103-108 - [c48]Akifumi Kiyohiro, Kohei Yamaguchi, He Gao, Hiroyuki Nakamura, Tsunenori Mine:
Customer Behavior Analysis on after Getting Off the Train Based on Usage Histories of Smart IC Card. IIAI-AAI 2014: 269-274 - [c47]Hiroyuki Nakamura, Yuan Gao, He Gao, Hongliang Zhang, Akifumi Kiyohiro, Tsunenori Mine:
Adaptive User Interface Agent for Personalized Public Transportation Recommendation System: PATRASH. PRIMA 2014: 238-245 - 2013
- [c46]Kazumasa Goda, Sachio Hirokawa, Tsunenori Mine:
Automated Evaluation of Student Comments on Their Learning Behavior. ICWL 2013: 131-140 - [c45]Tsunenori Mine, Tomoyuki Kakuta, Akira Ono:
Reciprocal Recommendation for Job Matching with Bidirectional Feedback. IIAI-AAI 2013: 39-44 - [c44]Kazumasa Goda, Sachio Hirokawa, Tsunenori Mine:
Correlation of grade prediction performance and validity of self-evaluation comments. SIGITE Conference 2013: 35-42 - 2012
- [c43]Haibo Yu, Tsunenori Mine, Makoto Amamiya:
Balance: A Key Factor for the Evaluation of Semantic Web Application. IIAI-AAI 2012: 203-208 - 2011
- [c42]Kazumasa Goda, Tsunenori Mine:
PCN: Quantifying Learning Activity for Assessment based on Time-series Comments. CSEDU (2) 2011: 419-424 - [c41]Kenichi Takahashi, Takanori Matsuzaki, Tsunenori Mine, Takao Kawamura, Kazunori Sugahara:
Security as a Service for User Customized Data Protection. ICSECS (2) 2011: 298-309 - [c40]Kazumasa Goda, Tsunenori Mine:
Analysis of Students' Learning Activities through Quantifying Time-Series Comments. KES (2) 2011: 154-164 - [c39]Haibo Yu, Tsunenori Mine, Makoto Amamiya:
Towards User Intent Based Searching. TrustCom 2011: 1400-1407 - 2010
- [c38]Kentaro Hori, Tetsuya Oishi, Tsunenori Mine, Ryuzo Hasegawa, Hiroshi Fujita, Miyuki Koshimura:
Related Word Extraction from Wikipedia for Web Retrieval Assistance. ICAART (2) 2010: 192-199
2000 – 2009
- 2009
- [j3]Haibo Yu, Tsunenori Mine, Makoto Amamiya:
Agent-Community-based P2P semantic MyPortal information retrieval system architecture. J. Embed. Comput. 3(1): 63-75 (2009) - [c37]Tsunenori Mine, Akihiro Kogo, Satoshi Amamiya, Makoto Amamiya:
Refinement of the ACP2P by sharing user-feedbacks and learning query-responder-agent-relationships. AAMAS (2) 2009: 1341-1342 - [c36]Noriaki Sakamoto, Mitsuaki Fukase, Tsunenori Mine, Shigeru Kusakabe, Tsuneo Nakanishi, Yoichi Omori, Mohammad Mesbah Uddin, Keijiro Araki, Akira Fukuda, Hiroto Yasuura, Teruaki Kitasuka:
Large Scale Business-academia Collaboration in Master Education Course. CSEDU (2) 2009: 159-166 - [c35]Tetsuya Oishi, Tsunenori Mine, Ryuzo Hasegawa, Hiroshi Fujita, Miyuki Koshimura:
Related Word Extraction Algorithm for Query Expansion - An Evaluation. PRIMA Workshops 2009: 33-48 - [c34]Tsunenori Mine, Hirotake Kobayashi:
Applying User Feedback and Query Learning Methods to Multiple Communities. PRIMA 2009: 276-291 - [c33]Haibo Yu, Tsunenori Mine, Makoto Amamiya:
Semantic ACP2P Information Retrieval Method. SSIRI 2009: 303-308 - 2008
- [c32]Kousaku Kimura, Satoshi Amamiya, Tsunenori Mine, Makoto Amamiya:
A Semi-structured Overlay Network for Large-Scale Peer-to-Peer Systems. AP2PC 2008: 83-94 - [c31]Tsunenori Mine, Kosaku Kimura, Satoshi Amamiya, Kenichi Takahashi, Makoto Amamiya:
Agent-community-network-based business matching and collaboration support system. AAMAS (Industry Track) 2008: 75-78 - [c30]Tsunenori Mine, Kosaku Kimura, Satoshi Amamiya, Kenichi Takahashi, Makoto Amamiya:
Agent-Community-Network-Based Secure Collaboration Support System. ATOP@AAMAS 2008: 234-255 - [c29]Tetsuya Oishi, Shunsuke Kuramoto, Tsunenori Mine, Ryuzo Hasegawa, Hiroshi Fujita, Miyuki Koshimura:
A Method for Query Expansion Using the Related Word Extraction Algorithm. Web Intelligence/IAT Workshops 2008: 41-44 - [c28]Tetsuya Oishi, Yoshiaki Kambara, Tsunenori Mine, Ryuzo Hasegawa, Hiroshi Fujita, Miyuki Koshimura:
Personalized Search Using ODP-based User Profiles Created from User Bookmark. PRICAI 2008: 839-848 - 2007
- [c27]Kenichi Takahashi, Yoshiki Mitsuyuki, Tsunenori Mine, Kouichi Sakurai, Makoto Amamiya:
Design and Implementation of Security Mechanisms for a Hierarchical Community-Based Multi-Agent System. PRIMA 2007: 134-145 - [c26]Tetsuya Oishi, Shunsuke Kuramoto, Hiroto Nagata, Tsunenori Mine, Ryuzo Hasegawa, Hiroshi Fujita, Miyuki Koshimura:
User-Schedule-based Web Page Recommendation. Web Intelligence 2007: 776-779 - 2006
- [j2]Tsunenori Mine, Akihiro Kogo, Makoto Amamiya:
Agent-community-based peer-to-peer information retrieval and its evaluation. Syst. Comput. Jpn. 37(13): 1-10 (2006) - [c25]Tsunenori Mine, Akihiro Kogo, Makoto Amamiya:
Agent-community based peer-to-peer information retrieval: an evaluation. AAMAS 2006: 1323-1325 - 2005
- [c24]Tsunenori Mine, Akihiro Kogo, Makoto Amamiya:
ACP2P: Agent-Community-based Peer-to-Peer Information Retrieval - an Evaluation. AP2PC 2005: 145-158 - [c23]Haibo Yu, Tsunenori Mine, Makoto Amamiya:
Agent-Community-Based P2P Semantic Web Information Retrieval System Architecture. EUC 2005: 538-549 - [c22]Haibo Yu, Tsunenori Mine, Makoto Amamiya:
An Architecture for Personal Semantic Web Information Retrieval System--Integrating Web Services and Web Contents. ICWS 2005: 329-336 - [c21]Haibo Yu, Tsunenori Mine, Makoto Amamiya:
A Web Information Retrieval System Architecture Based on Semantic MyPortal. Semantic Desktop Workshop 2005 - [c20]Haibo Yu, Tsunenori Mine, Makoto Amamiya:
An architecture for personal semantic web information retrieval system. WWW (Special interest tracks and posters) 2005: 974-975 - 2004
- [c19]Tsunenori Mine, Daisuke Matsuno, Akihiro Kogo, Makoto Amamiya:
ACP2P: Agent Community Based Peer-to-Peer Information Retrieval. AP2PC 2004: 62-73 - [c18]Tsunenori Mine, Daisuke Matsuno, Koichiro Takaki, Makoto Amamiya:
Agent Community Based Peer-to-Peer Information Retrieval. AAMAS 2004: 1484-1485 - [c17]Tsunenori Mine, Daisuke Matsuno, Akihiro Kogo, Makoto Amamiya:
Design and Implementation of Agent Community Based Peer-to-Peer Information Retrieval Method. CIA 2004: 31-46 - [c16]Haibo Yu, Tsunenori Mine, Makoto Amamiya:
Towards Automatic Discovery of Web Portals. SWSWPC 2004: 124-136 - 2003
- [c15]Guoqiang Zhong, Kenichi Takahashi, Satoshi Amamiya, Daisuke Matsuno, Tsunenori Mine, Makoto Amamiya:
From Computer Networks to Agent Networks. HICSS 2003: 85 - [c14]Tarek Helmy, Satoshi Amamiya, Tsunenori Mine, Makoto Amamiya:
A New Approach of the Collaborative User Interface Agents. IAT 2003: 147-153 - 2002
- [j1]Yusuke Nonaka, Sozo Inoue, Katsuhiko Hatano, Tsutomu Harada, Yoshinari Nomura, Mizuho Iwaihara, Tsunenori Mine, Kazuo Ushijima:
Development and operation of a document database for university research and education activities. Syst. Comput. Jpn. 33(10): 41-53 (2002) - [c13]Tarek Helmy, Satoshi Amamiya, Tsunenori Mine, Makoto Amamiya:
An Agent-Oriented Personalized Web Searching System. AOIS@AAMAS 2002 - [c12]Guoqiang Zhong, Kenichi Takahashi, Satoshi Amamiya, Tsunenori Mine, Makoto Amamiya:
KODAMA project. AAMAS 2002: 43-44 - [c11]Werner Winiwarter, Ingrid Zukerman, Tsunenori Mine:
Message from the NLIS Workshop Chairs. DEXA Workshops 2002: 201-204 - [c10]Tsunenori Mine, Shimiao Lu, Makoto Amamiya:
Discovering Relationships between Topics of Conferences by Filtering, Extracting and Clustering. DEXA Workshops 2002: 205-209 - [c9]Tsunenori Mine, Akira Suganuma, Takayoshi Shoudai:
A Support for Navigation Path Planning with Adaptive Previewing for Web-Based Learning. ICCE 2002: 1250-1251 - 2001
- [c8]Tsunenori Mine, Hiroki Fujitani, Makoto Amamiya:
Japanese Information Retrieval Method Using Syntactic and Statistical Information. NLPRS 2001: 429-434 - [c7]Tsunenori Mine, Makoto Amamiya, Teruko Mitamura:
Conference Information Management System: Towards a Personal Assistant System. Web Intelligence 2001: 247-253 - 2000
- [c6]Tarek Helmy, Tsunenori Mine, Makoto Amamiya:
Adaptive Exploiting User Profile and Interpretation Policy for Searching and Browsing the Web on KODAMA System. DEXA Workshop 2000: 120-124 - [c5]Guoqiang Zhong, Kenichi Takahashi, Tarek Helmy, Kouichirou Takaki, Tsunenori Mine, Shigeru Kusakabe, Makoto Amamiya:
KODAMA: as a distributed multi-agent system. ICPADS Workshops 2000: 435-440 - [c4]Tarek Helmy, Tsunenori Mine, Guoqiang Zhong, Makoto Amamiya:
Open distributed autonomous multi-agent coordination on the Web. ICPADS Workshops 2000: 461-466 - [c3]Hiroki Fujitani, Tsunenori Mine, Makoto Amamiya:
Incorporation of Japanese Information Retrieval Method Using Dependency Relationship into Probabilistic Retrieval. PRICAI 2000: 825 - [c2]Tsunenori Mine, Takayoshi Shoudai, Akira Suganuma:
Automatic Exercise Generator with Tagged Documents Considering Lerner's Performance. WebNet 2000: 779-780
1990 – 1999
- 1991
- [c1]Tsunenori Mine, Rin-Ichiro Taniguchi, Makoto Amamiya:
Coordinated Morphological and Syntactic Analysis of Japanese Language. IJCAI 1991: 1012-1017
Coauthor Index
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