Search Results for author: Atsuhiro Takasu

Found 17 papers, 10 papers with code

On the Trade-off between the Number of Nodes and the Number of Trees in a Random Forest

no code implementations16 Dec 2023 Tatsuya Akutsu, Avraham A. Melkman, Atsuhiro Takasu

We also show that a bag of $n$ decision trees can be represented by a bag of $T$ decision trees each with polynomial size if $n-T$ is a constant and a small classification error is allowed.

Syllable-level lyrics generation from melody exploiting character-level language model

no code implementations2 Oct 2023 Zhe Zhang, Karol Lasocki, Yi Yu, Atsuhiro Takasu

The generation of lyrics tightly connected to accompanying melodies involves establishing a mapping between musical notes and syllables of lyrics.

Language Modelling Sentence

Controllable Lyrics-to-Melody Generation

no code implementations5 Jun 2023 Zhe Zhang, Yi Yu, Atsuhiro Takasu

Lyrics-to-melody generation is an interesting and challenging topic in AI music research field.

Music Generation

TabIQA: Table Questions Answering on Business Document Images

1 code implementation27 Mar 2023 Phuc Nguyen, Nam Tuan Ly, Hideaki Takeda, Atsuhiro Takasu

Table answering questions from business documents has many challenges that require understanding tabular structures, cross-document referencing, and additional numeric computations beyond simple search queries.

An End-to-End Multi-Task Learning Model for Image-based Table Recognition

1 code implementation15 Mar 2023 Nam Tuan Ly, Atsuhiro Takasu

Most of the previous methods focus on a non-end-to-end approach which divides the problem into two separate sub-problems: table structure recognition; and cell-content recognition and then attempts to solve each sub-problem independently using two separate systems.

Cell Detection Decoder +3

Rethinking Image-based Table Recognition Using Weakly Supervised Methods

1 code implementation14 Mar 2023 Nam Tuan Ly, Atsuhiro Takasu, Phuc Nguyen, Hideaki Takeda

In this paper, we propose a weakly supervised model named WSTabNet for table recognition that relies only on HTML (or LaTeX) code-level annotations of table images.

Decoder Table Recognition

ARERec: Attentive Local Interaction Model for Sequential Recommendation

1 code implementation IEEE Access 2022 Umaporn Padungkiatwattana, Thitiya Sae-Diae, Saranya Maneeroj, Atsuhiro Takasu

The aim is to model user and item behavior over the user–item interaction sequence while considering local representations that contain specific characteristics of both user and item in the sequence.

Collaborative Filtering Sequential Recommendation

Co-Factorization Model for Collaborative Filtering with Session-based Data

no code implementations12 May 2021 Binh Nguyen, Atsuhiro Takasu

Despite that MF is a powerful method, it suffers from not be able to identifying strong associations of closely related items.

Collaborative Filtering

Multi-Partition Embedding Interaction with Block Term Format for Knowledge Graph Completion

2 code implementations29 Jun 2020 Hung Nghiep Tran, Atsuhiro Takasu

Knowledge graph embedding methods perform this task by representing entities and relations as embedding vectors and modeling their interactions to compute the matching score of each triple.

Knowledge Graph Completion Knowledge Graph Embedding +3

Exploring Scholarly Data by Semantic Query on Knowledge Graph Embedding Space

1 code implementation17 Sep 2019 Hung Nghiep Tran, Atsuhiro Takasu

The knowledge graph can be modeled by knowledge graph embedding methods, which represent entities and relations as embedding vectors in semantic space, then model the interactions between these embedding vectors.

Knowledge Graph Embedding Link Prediction +2

Boosting the Rating Prediction with Click Data and Textual Contents

no code implementations21 Aug 2019 ThaiBinh Nguyen, Atsuhiro Takasu

In this paper, we propose a model that leverages the information hidden in the item co-click (i. e., items that are often clicked together by a user) into learning item representations.

Analyzing Knowledge Graph Embedding Methods from a Multi-Embedding Interaction Perspective

1 code implementation27 Mar 2019 Hung Nghiep Tran, Atsuhiro Takasu

In this paper, we propose a multi-embedding interaction mechanism as a new approach to uniting and generalizing these models.

Knowledge Graph Embedding Knowledge Graphs +4

Learning Representations from Product Titles for Modeling Shopping Transactions

no code implementations3 Nov 2018 Binh Nguyen, Atsuhiro Takasu

In this paper, we propose BASTEXT, an efficient model of shopping baskets and the texts associated with the products (e. g., product titles).

Product Recommendation

A Probabilistic Model for the Cold-Start Problem in Rating Prediction using Click Data

no code implementations5 May 2017 ThaiBinh Nguyen, Atsuhiro Takasu

One of the most efficient methods in collaborative filtering is matrix factorization, which finds the latent vector representations of users and items based on the ratings of users to items.

Collaborative Filtering

Cannot find the paper you are looking for? You can Submit a new open access paper.