activity
19942026
most citedConfidence Interval of Probability Estimator of Laplace Smoothing

21 citations · 91 across the 26 of their papers we have counts for

collaborators

26 papers

cs.SI2026

Mapping Social Media User Behaviors in Reciprocity Space

Shiori Hironaka, Hayato Oshimo, Mitsuo Yoshida +1

Social media users exhibit diverse behavioral patterns as platforms function simultaneously as information and friendship networks. We introduce a reciprocity-based framework mappi…

cs.HC2023★ 8 cited

Large Language Model-based System to Provide Immediate Feedback to Students in Flipped Classroom Preparation Learning

Shintaro Uchiyama, Kyoji Umemura, Yusuke Morita

This paper proposes a system that uses large language models to provide immediate feedback to students in flipped classroom preparation learning. This study aimed to solve challeng…

cs.DS2022

Comparing Two Counting Methods for Estimating the Probabilities of Strings

Ayaka Takamoto, Mitsuo Yoshida, Kyoji Umemura

There are two methods for counting the number of occurrences of a string in another large string. One is to count the number of places where the string is found. The other is to de…

cs.SI2022★ 3 cited

Follower--Followee Ratio Category and User Vector for Analyzing Following Behavior

Hayato Oshimo, Shiori Hironaka, Mitsuo Yoshida +1

Analyzing following behavior is important in many applications. Following behavior may depend on the main intention of the follower. Users may either follow their friends or they m…

cs.CL2021★ 1 cited

Feature Selective Likelihood Ratio Estimator for Low- and Zero-frequency N-grams

Masato Kikuchi, Mitsuo Yoshida, Kyoji Umemura +1

In natural language processing (NLP), the likelihood ratios (LRs) of N-grams are often estimated from the frequency information. However, a corpus contains only a fraction of the p…

cs.SI2021★ 5 cited

Comparison of Indicators of Location Homophily Using Twitter Follow Graph

Shiori Hironaka, Mitsuo Yoshida, Kyoji Umemura

Location homophily is a tendency of Twitter users whose followers tend to be in the same or nearby areas. Intuitively, although users with a higher number of follower relationships…

cs.CL2021★ 2 cited

Unified Likelihood Ratio Estimation for High- to Zero-frequency N-grams

Masato Kikuchi, Kento Kawakami, Kazuho Watanabe +2

Likelihood ratios (LRs), which are commonly used for probabilistic data processing, are often estimated based on the frequency counts of individual elements obtained from samples.…

cs.IR2020★ 2 cited

Analysis of Short Dwell Time in Relation to User Interest in a News Application

Ryosuke Homma, Yoshifumi Seki, Mitsuo Yoshida +1

Dwell time has been widely used in various fields to evaluate content quality and user engagement. Although many studies shown that content with long dwell time is good quality, co…

cs.IR2020★ 8 cited

The metrics of keywords to understand the difference between Retweet and Like in each category

Kenshin Sekimoto, Yoshifumi Seki, Mitsuo Yoshida +1

The purpose of this study is to clarify what kind of news is easily retweeted and what kind of news is easily Liked. We believe these actions, retweeting and Liking, have different…

cs.SI2019★ 1 cited

User's Centrality Analysis for Home Location Estimation

Shiori Hironaka, Mitsuo Yoshida, Kyoji Umemura

User attributes, such as home location, are useful for many applications. Many researchers have been tackling how to estimate users' home locations using relationships among users.…

cs.CY2019★ 1 cited

Usefulness of Instructor Annotations on Flipped Learning Preparation Video System

Shintaro Uchiyama, Hayato Okumoto, Mitsuo Yoshida +2

Flipped learning is a method that flips in/out class activities to make lectures learner-centered. In flipped learning, comments from learners on preparation material are useful in…

cs.CL2019

Journal Name Extraction from Japanese Scientific News Articles

Masato Kikuchi, Mitsuo Yoshida, Kyoji Umemura

In Japanese scientific news articles, although the research results are described clearly, the article's sources tend to be uncited. This makes it difficult for readers to know the…

cs.CY2019

Analysis of the Influence of Internet TV Station on Wikipedia Page Views

Hiroshi Hayano, Masanori Takano, Soichiro Morishita +2

We aim to investigate the influence of television on the web; if the influence is strong, a viral effect may be expected. In this paper, we focus on the Internet TV station and on…

cs.HC2019★ 3 cited

Analysis of User Dwell Time on Non-News Pages

Ryosuke Homma, Keiichi Soejima, Mitsuo Yoshida +1

There is dwell time as one of the indicators of user's behavior, and this indicates how long a user looked at a page. Dwell time is especially useful in fields where user ratings a…

cs.CY2018★ 3 cited

Response Collector: A Video Learning System for Flipped Classrooms

Hayato Okumoto, Mitsuo Yoshida, Kyoji Umemura +1

The flipped classroom has become famous as an effective educational method that flips the purpose of classroom study and homework. In this paper, we propose a video learning system…

cs.SD2018★ 5 cited

Computing Information Quantity as Similarity Measure for Music Classification Task

Ayaka Takamoto, Mitsuo Yoshida, Kyoji Umemura +1

This paper proposes a novel method that can replace compression-based dissimilarity measure (CDM) in composer estimation task. The main features of the proposed method are clarity…

cs.SI2017★ 7 cited

When Do Users Change Their Profile Information on Twitter?

Jinsei Shima, Mitsuo Yoshida, Kyoji Umemura

We can see profile information such as name, description and location in order to know the user on social media. However, this profile information is not always fixed. If there is…

cs.SD2017★ 1 cited

Improving Compression Based Dissimilarity Measure for Music Score Analysis

Ayaka Takamoto, Mayu Umemura, Mitsuo Yoshida +1

In this paper, we propose a way to improve the compression based dissimilarity measure, CDM. We propose to use a modified value of the file size, where the original CDM uses an unm…

cs.DS2017★ 2 cited

Polysemy Detection in Distributed Representation of Word Sense

Kana Oomoto, Haruka Oikawa, Eiko Yamamoto +3

In this paper, we propose a statistical test to determine whether a given word is used as a polysemic word or not. The statistic of the word in this test roughly corresponds to the…

stat.AP2017

Finding Association Rules by Direct Estimation of Likelihood Ratios

Kento Kawakami, Masato Kikuchi, Mitsuo Yoshida +2

In this paper, we propose a cost function that corresponds to the mean square errors between estimated values and true values of conditional probability in a discrete distribution.…

cs.CV2017★ 4 cited

Realizing Half-Diminished Reality from Video Stream of Manipulating Objects

Hayato Okumoto, Mitsuo Yoshida, Kyoji Umemura

When we watch a video, in which human hands manipulate objects, these hands may obscure some parts of those objects. We are willing to make clear how the objects are manipulated by…

cs.IT2017★ 21 cited

Confidence Interval of Probability Estimator of Laplace Smoothing

Masato Kikuchi, Mitsuo Yoshida, Masayuki Okabe +1

Sometimes, we do not use a maximum likelihood estimator of a probability but it's a smoothed estimator in order to cope with the zero frequency problem. This is often the case when…

cs.IT2017★ 3 cited

Using Conservative Estimation for Conditional Probability instead of Ignoring Infrequent Case

Masato Kikuchi, Eiko Yamamoto, Mitsuo Yoshida +2

There are several estimators of conditional probability from observed frequencies of features. In this paper, we propose using the lower limit of confidence interval on posterior d…

cs.SI2017★ 2 cited

Home Location Estimation Using Weather Observation Data

Yuki Kondo, Masatsugu Hangyo, Mitsuo Yoshida +1

We can extract useful information from social media data by adding the user's home location. However, since the user's home location is generally not publicly available, many resea…