Search Results - "Mine, Tsunenori"

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  1. 1

    One Stone, Four Birds: A Comprehensive Solution for QA System Using Supervised Contrastive Learning by Wang, Bo, Mine, Tsunenori

    Published in IEEE access (2024)
    “…This paper presents a novel and comprehensive solution to enhance both the robustness and efficiency of question answering (QA) systems through supervised…”
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    Journal Article
  2. 2

    Few-Shot Learning-Based Lesser-Known POI Category Estimation Based on Syntactic and Semantic Information by Rajaonarivo, Landy, Mine, Tsunenori

    Published in IEEE access (2023)
    “…The estimation of points of interest (POI) categories is essential in several contexts, such as land use estimation, POI and itinerary recommendation in the…”
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    Journal Article
  3. 3

    Distribution-adapted Model For Helpful Vote Prediction by Saptono, Ristu, Mine, Tsunenori

    Published in IEEE access (2022)
    “…The number of helpful votes on a review is an essential indicator of how much impact the review has on other customers in electronic commerce. Therefore,…”
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    Journal Article
  4. 4

    Best Approximate Distribution-based Model for Helpful Vote of Customer Review Prediction by Saptono, Ristu, Mine, Tsunenori

    “…Product reviews are more and more important for potential customers to decide on their purchases in electronic commerce nowadays. The helpful vote is a…”
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    Conference Proceeding
  5. 5

    Influence of Weather Features in Determining Sudden Braking by Sato, Yuta, Kawatani, Takuya, Mine, Tsunenori

    Published in International journal of ITS research (01-06-2021)
    “…Understanding conditions and situations causing abnormal driving behaviors like sudden braking or sudden acceleration is important for preventing traffic…”
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    Journal Article
  6. 6

    Prediction of Bus Travel Time over Intervals between Pairs of Adjacent Bus Stops Using City Bus Probe Data by Kawatani, Takuya, Yamaguchi, Tsubasa, Sato, Yuta, Maita, Ryotaro, Mine, Tsunenori

    Published in International journal of ITS research (01-06-2021)
    “…Prediction of bus travel time is a crucial tool for passengers. We present methods to predict bus travel time over intervals between pairs of adjacent bus…”
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    Journal Article
  7. 7

    Comment Data Mining to Estimate Student Performance Considering Consecutive Lessons by Sorour, Shaymaa E, Goda, Kazumasa, Mine, Tsunenori

    Published in Educational Technology & Society (01-01-2017)
    “…The purpose of this study is to examine different formats of comment data to predict student performance. Having students write comment data after every lesson…”
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    Journal Article
  8. 8

    Unsupervised Learning of Domain-Independent User Attributes by Ishikawa, Yuichi, Legaspi, Roberto, Yonekawa, Kei, Nakamura, Yugo, Ishida, Shigemi, Mine, Tsunenori, Arakawa, Yutaka

    Published in IEEE access (2022)
    “…Learning user attributes is essential for providing users with a service. In particular, for e-commerce portals which deal in variety of goods ranging from…”
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    Journal Article
  9. 9

    Status and Challenges of Medical History Taking in Bangladesh and an Affordable Digital Solution to Tackle Them by Hossain, Forhad, Bouh, Mohamed Mehfoud, Rahman, Md Moshiur, Shah, Faiz, Mine, Tsunenori, Islam, Rafiqul, Nakashima, Naoki, Ahmed, Ashir

    Published in Applied system innovation (01-08-2024)
    “…Capturing patients’ medical histories significantly influences clinical decisions. Errors in this process lead to clinical errors, which increase costs and…”
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    Journal Article
  10. 10

    Prediction of Bus Travel Time Over Unstable Intervals between Two Adjacent Bus Stops by As, Mansur, Mine, Tsunenori, Yamaguchi, Tsubasa

    “…This paper addresses the problem of predicting bus travel time over unstable intervals between two adjacent bus stops using two types of machine learning…”
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    Journal Article
  11. 11

    Estimation of Danger Signs in Regional Complaint Data by Lin, Yao, Mine, Tsunenori, Yamaguchi, Kohei, Hirokawa, Sachio

    “…Government 2.0 activities have become very attractive and popular. Using the platforms to support the activities, anyone can anytime report issues in a city on…”
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    Journal Article
  12. 12

    One Stone, Four Birds: A Comprehensive Solution for QA System Using Supervised Contrastive Learning by Wang, Bo, Mine, Tsunenori

    Published 25-10-2024
    “…This paper presents a novel and comprehensive solution to enhance both the robustness and efficiency of question answering (QA) systems through supervised…”
    Get full text
    Journal Article
  13. 13

    Little Known POI Category Estimation via Syntactical Knowledge Graph Generated via Tweets by Rajaonarivo, Landy, Mine, Tsunenori, Arakawa, Yutaka

    “…Local events are important for the vitality and dynamism of a city. However, some events or sites are lesser-known or only known by the local community. The…”
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    Conference Proceeding
  14. 14

    Few-shot and LightGCN Learning for Multi-Label Estimation of Lesser-Known Tourist Sites Using Tweets by Rajaonarivo, Landy, Mine, Tsunenori, Arakawa, Yutaka

    “…When a tourist wants to visit a site, he/she first asks about the category of the site. The availability of detailed information about the site allows him/her…”
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    Conference Proceeding
  15. 15

    Adaptive Neighborhood Distribution-based Model for Estimating Helpful Votes of Customer Review by Saptono, Ristu, Mine, Tsunenori

    “…The number of helpful votes on a review is an essential indicator of how much impact the review has on other users. Therefore, estimating the number of helpful…”
    Get full text
    Conference Proceeding
  16. 16

    Time-based Sampling Methods for Detecting Helpful Reviews by Saptono, Ristu, Mine, Tsunenori

    “…Product reviews describe customer opinions and experiences to products. Better opinions and experiences in the reviews more attract and help people who want to…”
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    Conference Proceeding
  17. 17

    Prediction of Bus Delay over Intervals on Various Kinds of Routes Using Bus Probe Data by Yamaguchi, Tsubasa, A.S., Mansur, Mine, Tsunenori

    “…Prediction of bus travel time and/or delay time is a useful tool for passengers who want to plan their journey, e.g., when they should leave from the origin…”
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    Conference Proceeding
  18. 18

    Machine Learning and Visualization of Sudden Braking using Probe Data by Kawatani, Takuya, Itoh, Eisuke, Hirokawa, Sachio, Mine, Tsunenori

    “…This paper presents a novel mining and visualizing tool that detects features to estimate sudden braking. The tool uses a machine learning and feature…”
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    Conference Proceeding
  19. 19

    Estimation of Travel Time Variability Using Bus Probe Data by As, Mansur, Mine, Tsunenori, Nakamura, Hiroyuki

    “…Prediction of bus travel times is of crucial importance for passengers in letting them know their departure time from an origin and arrival time at a…”
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    Conference Proceeding
  20. 20

    Personalized Recommendation for Public Transportation Using User Context by Nakamura, Hiroyuki, Mise, Shiro, Mine, Tsunenori

    “…This paper presents a new application of public transit guide system named PATRASH (Personalized Autonomous TRAansit recommendation System considering user…”
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    Conference Proceeding