A5004873494- Customer churn and segmentation
- Text and Document Classification Technologies
- Face and Expression Recognition
- Technology and Data Analysis
- Recommender Systems and Techniques
- Image Retrieval and Classification Techniques
- Algorithms and Data Compression
- Consumer Market Behavior and Pricing
- Bayesian Methods and Mixture Models
- Imbalanced Data Classification Techniques
- Data Mining Algorithms and Applications
- Topic Modeling
- Generative Adversarial Networks and Image Synthesis
- Machine Learning and Data Classification
- Consumer Retail Behavior Studies
- Advanced Text Analysis Techniques
- Fault Detection and Control Systems
- Advanced Clustering Algorithms Research
- Digital Marketing and Social Media
- Complex Network Analysis Techniques
- Human Mobility and Location-Based Analysis
- Traumatic Brain Injury and Neurovascular Disturbances
- Time Series Analysis and Forecasting
- Cellular Automata and Applications
- Natural Language Processing Techniques
Waseda University
2015-2024
Fukushima Medical University
2023
Towson University
2022
University of Crete
2022
FORTH Institute of Computer Science
2022
Tokyo Women's Medical University
2022
University of Tsukuba
2016-2021
Singapore Eye Research Institute
2021
Hitachi General Hospital
2021
University of Tsukuba Hospital
2020
In recent years, explainable recommendation has been a topic of active study. This is because the branch machine learning field related to methodologies enabling human understanding reasons for outputs recommender systems. The realization widely expected increase both user satisfaction and demand Explainable utilizes wealth side information (such as sellers, brands, ages genders, bookmark information, among others) expound decision-making reasoning applied by models. recommendation, although...
ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTFormation of organic thin films by electrolysis surfactants with the ferrocenyl moietyTetsuo Saji, Katsuyoshi Hoshino, Yoshiyuki Ishii, and Masayuki GotoCite this: J. Am. Chem. Soc. 1991, 113, 2, 450–456Publication Date (Print):January 1, 1991Publication History Published online1 May 2002Published inissue 1 January 1991https://pubs.acs.org/doi/10.1021/ja00002a011https://doi.org/10.1021/ja00002a011research-articleACS PublicationsRequest reuse...
Segment Anything Model (SAM) represents a large-scale segmentation model that enables powerful zero-shot capabilities with flexible prompts. While SAM can segment any object in zero-shot, it requires user-provided prompts for each target image and does not attach label information to masks. Few-shot models addressed these issues by inputting annotated reference images as specific objects without Previous SAM-based few-shot only use prompts, resulting limited accuracy due lack of information....
In recent years, it has become common for consumers to familiarize themselves with the latest fashion trends through internet and engage in their own fashion-inspired shopping activities. Therefore, making browsing activities (internet surfing domain) comfortable is essential because leads interactions industry. However, a fuzzy complex domain that contains many abstract elements, this ambiguity complexity can hinder users' deep interest we define novel technology called "fashion...
To correctly evaluate the effects of treatments, conducting randomized controlled trials (RCTs) is a reasonable approach. However, because it generally difficult to implement RCTs for all methods estimate treatment using observational data have been actively studied and used in various decision-making processes. Observational accumulated business activities elsewhere contains results previously implemented estimating any given without separating impacts other treatments challenging. Against...
This paper describes the development of The Japanese Experiment Module (called JEM) Internal Ball Camera Int-Ball) that autonomously moves inside JEM pressurization section and shoots image video object. Int-Ball was launched as a payload Dragon spacecraft by SpaceX Falcon 9 on June 4, 2017. First flight control demonstration successfully conducted in section. also initial checkout result.
In recent years, web marketing has thrived, and online coupon distribution become a significant measure that leads to increased sales. However, randomly distributing coupons risks lowering the profit ratio of companies. Therefore, it is important estimate effect analyze causal relationship between results. The potential purchase intention (PPI) users believed influence coupons. For example, with low PPI likely increase gross companies, whereas high decrease profit. by analyzing coupons,...
In recent years, the task of learned point cloud compression has gained prominence. An important type cloud, LiDAR is generated by spinning on vehicles. This process results in numerous circular shapes and azimuthal angle invariance features within clouds. However, these two have been largely overlooked previous methodologies. this paper, we introduce a model-agnostic method called Spherical-Coordinate-based Point (SCP), designed to fully leverage invariance. Additionally, propose...
This paper discusses a new similarity measure between documents on vector space model from the view point of distance metric learning. The are represented by points in using information frequencies words appearing each document. two different is useful to recognize relationship and can be applied classification or clustering data. Usually, cosine Euclid have been used order Euclidean space. However, these measures do not take correlation among which appear into consideration an application...
A novel technology named fashion intelligence system, which quantifies ambiguous expressions unique to fashion, such as "casual," "adult-casual," and "office-casual," was previously proposed support users in their understanding of fashion. However, the existing visual-semantic embedding (VSE) model, forms basis does not images that are composed multiple parts, those containing hair, tops, trousers, skirts, shoes. Therefore, we propose a partial VSE (PVSE) enables fine-grained learning each...
In recent years, Large Language Model (LLM) have seen significant advancements, attracting attention for their applications in various fields. These models shown promising results handling tabular data, especially cases with limited datasets, by leveraging pre-trained knowledge. However, effectiveness addressing imbalanced data formats is less explored. To bridge this gap, our study introduces LLMOverTab, a novel approach using LLMs oversampling data. We conducted comprehensive experiments...
Recent research on explainable recommendation generally frames the task as a standard text generation problem, and evaluates models simply based textual similarity between predicted ground-truth explanations. However, this approach fails to consider one crucial aspect of systems: whether their outputs accurately reflect users' (post-purchase) sentiments, i.e., why they would like and/or dislike recommended items. To shed light issue, we introduce new datasets evaluation methods that focus...
Tourism is one of the most important industries in Nepal.Based on trends, various positive impacts are realized through tourism development.The local people can also receive benefits from infrastructure development and sanitation improvement.On other hand, there that only working industry receive.Therefore, it necessary to identify difference order expand ripple effects industries, for further promotion development.In this research, consciousness opinions Nepal investigated a field survey,...
The electronic commerce site (EC site) has become an important marketing channel where consumers can purchase many kinds of products; their access logs, including records and browsing histories, are saved in the EC sites' databases. These log data be utilized for purpose web marketing. customers who product items good customers, whereas other do not items, must even if they browse items. If attributes those clarified, such information is valuable as input making a new strategy. Regarding...
This study proposes a novel technique to display tactile sensation using electro-rheological fluid (ERF). ERF changes its rheological characteristics according the electric field applied. The used in this generates relatively high yield stress and behaves as solid when subjected strong field. Using solid-liquid phase transition, we propose device which provides sensation, i.e., bump display. Applying at specific position an chamber, corresponding position. solid-state gives like physical...
A 64-year-old woman underwent a coronary flow reserve evaluation using intracoronary-administered papaverine into the left anterior descending artery. Her baseline electrocardiogram (ECG) was normal, but toward end of administration, QTU intervals were excessively prolonged and torsade de pointes occurred, leading to ventricular fibrillation. Ten months previously, patient's ECG showed mildly QTc (480 ms1/2), which normalized after cessation bepridil. This case report suggests that history...
Subscription RequiredScientific InvestigationsSwitching to lemborexant for the management of insomnia in mental disorders (the SLIM study) Sho Horikoshi, MD, PhD, Itaru Miura, Yuhei Suzuki, Yuri Kobayashi, Yoichiro Hirata, Masayuki Goto, Mizue Ichinose, Shinnosuke Yamamoto, Keiko Kanno-Nozakio, MS, Kenya Watanabe, Hirooki Yabe, PhD Department Neuropsychiatry, Fukushima Medical University School Medicine, Fukushima, Japan Horikoshi Psychosomatic Clinic, , MD MS Pharmacy, MedicalUniversity...
In our previous paper, we proposed a new classification technique called the Frequency Ratio Accumulation Method (FRAM). This is simple that adds up ratios of term frequencies among categories, and it able to use index terms without limit. Then, adopted Character N-gram form terms, thereby improving FRAM. However, FRAM did not have satisfactory mathematical basis. Therefore, present here model based on "Vector Space Model" consider its implications. The method evaluated by performing several...