| Tsunenori Mine | Last modified date：2024.04.02 |
Associate Professor /
Advanced Software Engineering /
Department of Advanced Information Technology /
Faculty of Information Science and Electrical Engineering
Presentations
| 1. | Juntao Wang and Tsunenori Mine, Multi-Task Learning for Emotion Recognition in Conversation with Emotion Shift, The 37th Pacific Asia Conference on Language, Information and Computation (PACLIC 37), 2023.12, [URL]. |
| 2. | Landy Rajaonarivo, Tsunenori Mine, Yutaka Arakawa, Little known POI category estimation via Syntactical Knowledge Graph generated via tweets, The 18th International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2023) (Core Rank B), 2023.11. |
| 3. | Yuichi Ishikawa, Nao Kobayashi, Yasushi Naruse, Yugo Nakamura, Shigemi Ishida, Tsunenori Mine, and Yutaka Arakawa, Learning Cross-Modal Factors from Multimodal Physiological Signals for Emotion Recognition, the 20th Pacific Rim International Conference on Artificial Intelligence (PRICAI-2023), 2023.11, [URL]. |
| 4. | Bo Wang, Billy Dawton, Tsunenori Ishioka and Tsunenori Mine, Optimizing Answer Representation using Metric Learning for Efficient Short Answer Scoring, the 20th Pacific Rim International Conference on Artificial Intelligence (PRICAI-2023), 2023.11, [URL]. |
| 5. | Bo Wang and Tsunenori Mine, Optimizing Upstream Representations for Out-of-Domain Detection with Supervised Contrastive Learning, The 32nd ACM International Conference on Information and Knowledge Management (CIKM2023), 2023.10, [URL]. |
| 6. | Landy Rajaonarivo, Tsunenori Mine, Yutaka Arakawa, Few-shot and LightGCN learning for multi-label estimation of lesser-known tourist sites using tweets, The 2023 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT23), 2023.10, [URL]. |
| 7. | Yusuke Miyake and Tsunenori Mine, Contextual and Nonstationary Multi-armed Bandits Using the Linear Gaussian State Space Model for the Meta-Recommender System, IEEE SMC 2023, 2023.10, [URL]. |
| 8. | Menna Fateen, Tsunenori Mine, Using Similarity Learning with SBERT to Optimize Teacher Report Embeddings for Student Performance Prediction, The 24th International Conference on Artificial Intelligence in Education (AIED2023), 2023.07. |
| 9. | Ristu Saptono and Tsunenori Mine, Adaptive Neighborhood Distribution-based Model for Estimating Helpful Votes of Customer Review, The 2022 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT22), 2022.11, [URL]. |
| 10. | Tsunenori Mine, Text Mining-based Student Performance Estimation, The 9th Annual International Seminar On Trends In Science And Science Education (AISTSSE 2022), 2022.11, [URL]. |
| 11. | Shaowen Peng, Kazunari Sugiyama,Tsunenori Mine, SVD-GCN: A Simplified Graph Convolution Paradigm for Recommendation, ACM CIKM 2022, 2022.10, [URL]. |
| 12. | Ristu Saptono and Tsunenori Mine, Best Approximate Distribution-based Model for Helpful Vote of Customer Review Prediction, 2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2022.10, [URL]. |
| 13. | Shaowen Peng, Kazunari Sugiyama,Tsunenori Mine, Less is More: Reweighting Important Spectral Graph Features for Recommendation, ACM SIGIR 2022, 2022.07. |
| 14. | Landy Rajaonarivo, Tsunenor Mine, Yutaka Arakawa, Coupling of semantic and syntactic graphs generated via tweets to detect local events, 14th International Conference on E-Service and Knowledge Management (ESKM 2022), 2022.07, [URL]. |
| 15. | Makoto Yamada, Tsunenor Mine, Modality estimation methods in internal training reflection texts using BERT, 14th International Conference on E-Service and Knowledge Management (ESKM 2022), 2022.07, [URL]. |
| 16. | Shumpei Kobashi, Tsunenor Mine, A System for Generating Student Progress Reports in Cram School, 14th International Conference on E-Service and Knowledge Management (ESKM 2022), 2022.07, [URL]. |
| 17. | Kyouhei Ueno, Tsunenor Mine, Automatic assessment of student understanding for estimateing test score, 12th International Conference on Learning Technologies and Learning Environments (LTLE2022), 2022.07, [URL]. |
| 18. | Menna Fateen, Tsunenori Mine, Extraction of Useful Observational Features from Teacher Reports for Student Performance Prediction, AIED 2022: The 23rd International Conference on Artificial Intelligence in Education, 2022.07, [URL]. |
| 19. | Bo Wang,Tsunenori Mine, Practical and Efficient Out-of-Domain Detection with Adversarial Learning, ACM SAC 2022, 2022.04. |
| 20. | Landy Rajaonarivo, Tsunenor Mine, Yutaka Arakawa, Automatic Generation of Event Ontology from Social Network and Mobile Positioning Data, the 20th IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, 2021.12. |
| 21. | Kohei Yamaguchi, Tsunenori Mine , Estimation of Precedence Relations to Deal with Regional Complaint Reports, the 5th IEEE International Conference on Agents (IEEE-ICA 2021), 2021.12. |
| 22. | Menna Fateen, Kyouhei Ueno, Tsunenori Mine, An Improved Model to Predict Student Performance Using Teacher Observation Reports, 29TH INTERNATIONAL CONFERENCE ON COMPUTERS IN EDUCATION 2021, 2021.11. |
| 23. | Shumpei Kobashi, Tsunenori Mine, Generating Student Progress Reports Based on Keywords, 29TH INTERNATIONAL CONFERENCE ON COMPUTERS IN EDUCATION 2021, 2021.11. |
| 24. | Takuya Kawatani, Tsuneonri Mine, Determination of Collection Points of Bus Probe Data to Achieve High Prediction Performance and Low Collection Cost, The 13th International Conference on Mobile Computing and Ubiquitous Networking (ICMU2021) , 2021.11. |
| 25. | Menna Fateen and Tsunenori Mine, Predicting Student Performance Using Teacher Observation Reports, the Fourteenth International Conference on Educational Data Mining, 2021.07. |
| 26. | Jihed Makhlouf and Tsunenori Mine, Mining Students’ Comments to Build an Automated Feedback System, The 13th International Conference on Computer Supported Education (CSEDU2021), 2021.04. |
| 27. | Jihed Makhlouf, Tsunenori Mine, Mining Students’ Comments to Build an Automated Feedback System, The 13th International Conference on Computer Supported Education (CSEDU2021), 2021.04. |
| 28. | Hanwei Zhang, Hiroshi Kawasaki, Tsunenori Mine and Shintaro Ono, Focusing on Discrimination between Road Conditions and Weather in Driving Video Analysis, The 27th International Workshop on Frontiers of Computer Vision, 2021.02, [URL]. |
| 29. | Ristu Saptono and Tsunenori Mine, Time-based Sampling Methods for Detecting Helpful Reviews, The 2020 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT20), 2020.12, [URL]. |
| 30. | Haibo Yu, Qiang Sun, Kejun Xiao, Yuting Chen, Tsunenori Mine and Jianjun Zhao, Parallelizing Flow-Sensitive Demand-Driven Points-to Analysis, IEEE 20th International Conference on Software Quality, Reliability and Security Companion (QRS-C), 2020.12, [URL]. |
| 31. | Makhlouf Jihed, Tsunenori Mine, Automatic Feedback Models to Students Freely Written Comments, 28TH INTERNATIONAL CONFERENCE ON COMPUTERS IN EDUCATION (ICCE), 2020.11, [URL]. |
| 32. | Tsuneno Nakanishi, Yutaka Arakawa, Takahiro Ando, Shigemi Ishida, Kenji Hisazumi, Tsunenori Mine and Akira Fukuda, An Inter-Organizational Software Architecture for Smart Mobility, The 9th International Conference onSoftware and Information Engineering, 2020.11, [URL]. |
| 33. | Ismail Parewai, Mansur As, Tsunenori Mine, Mario Koeppen, Identification and Classification of Sashimi Food Using Multispectral Technology, APIT 2020 - 2020 2nd Asia Pacific Information Technology Conference, 2020.06. |
| 34. | Makhlouf Jihed, Tsunenori Mine, Prediction Models for Automatic Assessment to Student Free-written Comments, The 12th International Conference on Computer Supported Education (CSEDU2020), 2020.05. |
| 35. | Shaowen Peng, Tsunenori Mine, Mixture-Preference Bayesian Matrix Factorization for implicit feedback datasets, The 35th ACM/SIGAPP Symposium On Applied Computing, 2020.04. |
| 36. | Makhlouf Jihed, Tsunenori Mine, Predicting Student Exam Scores Based on Click-stream Level Data of Their Usage of an E-Book System, DC@LAK20 at the 10th International Learning Analytics & Knowledge Conference (LAK20), 2020.03. |
| 37. | , [URL]. |
| 38. | Takuya Kawatani, Eisuk Itoh, Sachio Hirokawa, Tsunenori Mine, Location does not always determine sudden braking, The 22nd IEEE International Conference on Intelligent Transportation Systems, 2019.10, [URL]. |
| 39. | Jihed Makhlouf, Tsunenori Mine, Investigating Reading Behaviors within Student Reading Sessions to Predict their Performance, International Workshop on Predicting Performance Based on the Analysis of Reading Behavior: A Data Challenge 2019, 2019.03. |
| 40. | Tsunenori Mine, Sachio Hirokawa, Takahiko Suzuki, Does Crime Activity Report Reveal Regional Characteristics ?, The 13th International Conference on Ubiquitous Information Management and Communication (IMCOM2019), 2019.01, [URL]. |
| 41. | Tsubasa Yamaguchi, Mansur As, Tsunenori Mine, Prediction of bus delay over intervals on a various kinds of routes using bus probe data, The 5th IEEE/ACM International Conference on Big Data Computing, Applications and Technologies (BDCAT 2018), 2018.12, [URL]. |
| 42. | Haibo Yu, Xi Jia, Tsunenori Mine, Jianjun Zhao, Type Conversion Sequence Recommendation Based on Semantic Web Technology, The 4th IEEE Smart World Congress (SmartWorld 2018), Special Session on Advanced Information Systems Engineering (AISE), 2018.10, [URL]. |
| 43. | Shaowen Peng, Xianzhong Xie, Tsunenori Mine, Chang Su, Vector representation based model considering randomness of user mobility for predicting potential users, The 21st International Conference on Principles and Practice of Multi-Agent Systems, 2018.10. |
| 44. | Artificial Intelligence and Education. |
| 45. | Tsuneo Nakanishi, Kenji Hisazumi, Takahiro Ando, Akira Fukuda, Tsunenori Mine, Software Engineering Practices for the Smart Mobility Market, IIAI AAI ESKM-SS1 (Sustainable Smart Mobility Platform for Intelligent Transport Systems), 2018.07. |
| 46. | 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 ESKM-SS1 (Sustainable Smart Mobility Platform for Intelligent Transport Systems), 2018.07. |
| 47. | 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 ESKM-SS1 (Sustainable Smart Mobility Platform for Intelligent Transport Systems), 2018.07. |
| 48. | Takahiro Ando, Ryo Fujii, Kenji Hisazumi, Tsunenori Mine, Tsuneo Nakanishi, Akira Fukuda, Overview and Application Examples of Agent-Based Unified Simulation Environment, IIAI AAI ESKM-SS1 (Sustainable Smart Mobility Platform for Intelligent Transport Systems), 2018.07. |
| 49. | Jihed Makhlouf, Tsunenori Mine, Investigating How School-Aggregated Data Can Influence in Predicting STEM Career from Student usage of an Intelligent Tutoring System, EDM 2018 Workshop on Scientific Findings from the ASSISTments Longitudinal Data, 2018.07. |
| 50. | Jihed Makhlouf, Tsunenori Mine, Predicting if students will pursue a STEM career using School-Aggregated Data from their usage of an Intelligent Tutoring System, Educational Data Mining 2018, 2018.07. |
| 51. | Mansur As and Tsunenori Mine, An Adaptive Approach for Predicting Bus Travel Time over Unstable Intervals, ITS AP Forum 2018, 2018.05. |
| 52. | Ryo Fujii and Takahiro Ando and Kenji Hisazumi and Tsunenori Mine and Tsuneo Nakanishi and Akira Fukuda, Development of the Agent-based Unified Simulation Environment for ITS Services, ITS AP Forum 2018, 2018.05. |
| 53. | Yao Lin, Kohei Yamaguchi, Tsunenori Mine and Sachio Hirokawa, Is SVM+FS better to satisfy Decision by Majority ?, The 3rd International Conference on Soft Computing and Data Mining, 2018.02. |
| 54. | Mansur As and Tsunenori Mine, Dynamic Bus Travel Time Prediction Using Machine Learning Technique, ACM IMCOM2018, 2018.01. |
| 55. | Tsunenori Ishioka, Kohei Yamaguchi, Tsunenori Mine, Rubric-based Automated Japanese Short-answer Scoring and Support System Applied to QALab-3, The 13th NTCIR Conference, 2017.12. |
| 56. | Mansur As and Tsunenori Mine, Travel Time Prediction using Machine Learning Techniques over Unstable Intervals between Two Adjacent Bus Stops （機械学習による時刻変動の顕著なバス停間の移動時間予測）, 第15回ITSシンポジウム2017, 2017.12. |
| 57. | Tsunenori Mine and Shaymaa E. Sorour and Kazumasa Goda, Artificial Intelligence and Education -- Comment mining project toward improving student learning performance – an Example --, 1st International Conference of the Faculty of Specific Education Kafrelsheikh University, Egypt “Specific Sciences, their Developmental Role and Challenges of Labor Market”, 2017.10. |
| 58. | 峯 恒憲, Artificial Intelligence and Education -- Comment mining project toward improving student learning performance – an Example, 1st International Conference of the Faculty of Specific Education Kafrelsheikh University, Egypt, 2017.10. |
| 59. | Sachio Hirokawa, Takahiko Suzuki, Tsunenori Mine, Machine Learning is better than Human to satisfy Decision by Majority, Web Intelligence 2017, 2017.08. |
| 60. | Masaki Maruta, Tsunenori Mine, Detecting Communication Situation Using Smartphone Sensors - Toward Real SNS -, The 8th IIAI International Conference on e-Services and Knowledge Management (IIAI ESKM 2016), 2017.07. |
| 61. | Mansur AS, Tsunenori Mine, Hiroyuki Nakamura, Estimation of Travel Time Variability Using Bus Probe Data, The 6th IEEE International Conference on Advanced Logistics and Transport (IEEE ICALT 2017), 2017.07. |
| 62. | Ryo Fujii and Takahiro Ando and Kenji Hisazumi and Tsunenori Mine and Tsuneo Nakanishi and Akira Fukuda, Development of Support Environment towards Traffic Simulation for ITS Services, The 15th Int'l Conf on Software Engineering Research and Practice, 2017.07. |
| 63. | Yuta Sano, Tsunenori Mine, Extraction of Current Actual Status and Demand Expressions from Complaint Reports, the 18th International Conference on Information Integration and Web-based Applications & Services (iiWAS2016), 2016.11. |
| 64. | Shaymaa Sorour, Shaymaa Abd El Rahman, Tsunenori Mine, Teacher Interventions to Enhance the Quality of Student Comments and their Effect on Prediction Performance, The 46th Annual Frontiers in Education (FIE) Conference, 2016.10, [URL]. |
| 65. | Shaymaa Sorour, Shaymaa Abd El Rahman, Shaimaa Abd and Kahouf, Tsunenori Mine, Understandable Prediction Models of Student Performance Using an Attribute Dictionary, International Conference on Web-Based Learning, 2016.10. |
| 66. | Mansur AS, Tsunenori Mine, Empirical Study of Travel Time Variability Using Bus Probe Data, International Workshop on Sustainable Smart Mobility Platform, in conjuction with IEEE ICA (2016), 2016.09, [URL]. |
| 67. | Haibo Yu, Wenhao Song, Tsunenori Mine, APIBook: An Effective Approach for Finding APIs, The Eighth Asia-Pacific Symposium on Internetware(Internetware 2016 ), 2016.09. |
| 68. | Hisazumi Kenji, Tsuneo Nakanishi, Go Hirakawa, Tsunenori Mine, 安藤 崇央, Hiroki Furusho, Akira Fukuda, Operation Phase Metrics for Smart Mobility Platform, International Workshop on Sustainable Smart Mobility Platform, in conjuction with IEEE ICA (2016), 2016.09, [URL]. |
| 69. | Shaymaa Sorour, Tsunenori Mine, Building an Interpretable Model of Predicting Student Performance Using Comment Data Mining, 5th International Conference on Learning Technologies and Learning Environments (LTLE 2016), 2016.07. |
| 70. | Hiroyuki Nakamura, Shiro Mise, Tsunenori Mine, Personalized Recommendation for Public Transportation using User Context, The 7th IIAI International Conference on e-Services and Knowledge Management (IIAI ESKM 2016), 2016.07. |
| 71. | Akira Fukuda, Hisazumi Kenji, 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-, The 7th IIAI International Conference on e-Services and Knowledge Management (IIAI ESKM 2016), 2016.07. |
| 72. | Shaymaa Sorour, Tsunenori Mine, Exploring Students’ Learning Attributes in Consecutive Lessons to Improve Prediction Performance, Eighteenth Australasian Computing Education Conference, 2016.02, [URL]. |
| 73. | Shaymaa Sorour, Jingyi Luo, Kazumasa Goda, Tsunenori Mine, Correlation of Grade Prediction Performance and Characteristics of Lesson Subject, ICALT2015, 2015.07, [URL]. |
| 74. | Yuta Sano, Kohei Yamaguchi, Tsunenori Mine, Category Estimation of Complaint Reports about City Park, The 6th IIAI International Conference on e-Services and Knowledge Management (IIAI ESKM 2015), 2015.07. |
| 75. | Masataka Maruta, Yuta Sano, Kohei Yamaguchi, Tsunenori Mine, Visitor Behavior Analysis based on Large-scale Wi-Fi Location, The 6th IIAI International Conference on e-Services and Knowledge Management (IIAI ESKM 2015), 2015.07. |
| 76. | Shaymaa Sorour, Kazumasa Goda, Tsunenori Mine, Estimation of Student Performance by Considering Consecutive Lessons, The 6th IIAI International Conference on e-Services and Knowledge Management (IIAI ESKM 2015), 2015.07, [URL]. |
| 77. | Shaymaa Sorour, Kazumasa Goda, Tsunenori Mine, Student Performance Estimation based on Topic Models Considering a range of Lessons, AIED2015, 2015.06, [URL]. |
| 78. | Jingyi Luo, Shaymaa Sorour, Kazumasa Goda, Tsunenori Mine, Predicting Studnet Grade based on Free-style Comments using Word2Vec and ANN by Considering Prediction Results Obtained in Consecutive Lessons, EDM2015, 2015.06, [URL]. |
| 79. | Shaymaa Sorour, Tsunenori Mine, Kazumasa Goda, Correlation of Topic Model and Student Grades Using Comment Data Mining, SIGCSE2015, 2015.03, [URL]. |
| 80. | Shaymaa Sorour, Kazumasa Goda, Tsunenori Mine, Using Latent Topics to Estimate Student Performance, JEC-ECC 2015 : The Third International Japan-Egypt Conference on Electronics, Communications and Computers, 2015.03. |
| 81. | Hiroyuki Nakamura, Masataka Maruta, Yuta Sano, Tsunenori Mine, Noh-Guide: Guidance System for Novice Audience on Noh Stage, JEC-ECC 2015 : The Third International Japan-Egypt Conference on Electronics, Communications and Computers, 2015.03. |
| 82. | Hiroyuki Nakamura, Yuan Gao, He Gao, Hongliang Zhang, Akifumi Kiyohiro, Tsunenori Mine, Adaptive User Interface Agent for Personalized Public Transportation Recommendation System: PATRASH, The 17th International Conference on Principles and Practice of Multi-Agent Systems (PRIMA 2014), 2014.12, [URL]. |
| 83. | Shaymaa Sorour, Tsunenori Mine, Sachio Hirokawa, Kazumasa Goda, Predicting Students' grades based on free style Comments Data by Artificial Neural Network, The 44th Annual Frontiers in Education (FIE) Conference, 2014.10, [URL]. |
| 84. | Shaymaa Sorour, Tsunenori Mine, Sachio Hirokawa, Kazumasa Goda, Comments data mining for evaluating student's performance, The 5th IIAI International Conference on e-Services and Knowledge Management (IIAI ESKM 2014), 2014.09, [URL]. |
| 85. | Hiroyuki Nakamura, Yuan Gao, He Gao, Hongliang Zhang, Akifumi Kiyohiro, Tsunenori Mine, Toward Personalized Public Transportation Recommendation System with Adaptive User Interface, The 5th IIAI International Conference on e-Services and Knowledge Management (IIAI ESKM 2014), 2014.09. |
| 86. | 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, The 5th IIAI International Conference on e-Services and Knowledge Management (IIAI ESKM 2014), 2014.09. |
| 87. | Shaymaa Sorour, Tsunenori Mine, Sachio Hirokawa, Kazumasa Goda, Prediction of Students' Grades based on Free-style Comments Data, The 13th International Conference on Web-based Learning (ICWL2014), 2014.08, [URL]. |
| 88. | Shaymaa Sorour, Tsunenori Mine, Sachio Hirokawa, Kazumasa Goda, Efficiency of LSA and K-means in predicting Students' academic performance based on comments data, The 6th International Conference on Computer Supported Education (CSEDU2014), 2014.04. |
| 89. | Hiroyuki Nakamura, Tsunenori Mine, Dealing with Bus Delay and User History for Personalized Transportation Recommendation, The 2014 International Conference on Computational Science and Computational Intelligence, 2014.03. |
| 90. | Goda Kazumasa, Sachio Hirokawa, Tsunenori Mine, Automated Evaluation of Student Comments on Their Learning Behavior, International Conference on Web-based Learning, 2013.10. |
| 91. | Kazumasa Goda, Sachio Hirokawa, Tsunenori Mine, Correlation of Grade Prediction Performance and Validity of Self-Evaluation Comments, SIGITE, 2013.10. |
| 92. | Tsunenori Mine, Tomoyuki Kakuda, Akira Ono, Reciprocal Recommendation for Job Matching with Bidirectional Feedback, ESKM2013, 2013.09. |
| 93. | 峯 恒憲, 于 海波, Balance: A Key Factor For the Evaluation of Semantic Web Application, ESKM2012, 2012.09. |
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