[1A1-PS-1-01]現場の問題から始めるAIシステム
山口 高平1(1. 神奈川大学)
2024年度 人工知能学会全国大会（第38回）
2024年5月28日〜5月31日アクトシティ浜松＋オンライン
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2024年度 人工知能学会全国大会（第38回）
2024年5月28日〜5月31日アクトシティ浜松＋オンライン
当該イベント内で検索します。
検索する検索結果(1,426)
[2A2-PS-2-01]進化する大規模言語モデル
相澤 彰子1(1. 国立情報学研究所)
[3A4-PS-3-01]AIは『鉄腕アトム』の夢をみるか？～生成AIによるコンテンツ制作の可能性と問題
手塚 眞1(1. 有限会社ネオンテトラ)
[4A4-PS-4-01]クロージング
[2B4-TS-2-01]機械学習と科学モデル
武石 直也1(1. 東京大学)
[3B1-TS-4-01]医療情報と人工知能
香川 璃奈1、小林 和馬2、鈴木 晋3(1. 産業技術総合研究所、2. 国立がん研究センター研究所、3. 株式会社CureApp)
[3B5-TS-1-01]大規模言語モデルの開発
岡崎 直観1(1. 東京工業大学)
[4B1-TS-3-01]スポーツデータとAI：スポーツをシステムとして捉えて楽しむ
神武 直彦1(1. 慶応義塾大学薬学部)
[3G5-SS-1-01]マルチモダリティ革命ー大規模事前学習済みモデルの新たな視点を探るー
品川 政太朗1,2、増村 亮3、松嶋 達也4(1. SB Intuitions、2. 奈良先端科学技術大学院大学、3. 日本電信電話株式会社 、4. 東京大学)
[2Q5-IS-1-01]Analysis of Tender Documents Using Sequence Labeling with LLM-based Improver
〇Tomoki Ito1, Hiroki Sakaji2(1. MITSUI & CO., LTD., 2. Hokkaido University)
[2Q5-IS-1-02]Comparing Foundations: Insights into the Construction of Financial Causal Knowledge Graphs with and without Ontology
〇Ziwei Xu1, Ryutaro Ichise2,1(1. National Institute of Advanced Industrial Science and Technology, 2. Tokyo Institute of Technology)
[2Q5-IS-1-03]A Proposed Inference System for Efficient Constructive Induction
〇Taosheng Qiu1,3, Ryutaro Ichise2,1(1. National Institute of Informatics, 2. Tokyo Institute of Technology, 3. The Graduate University for Advanced Studies, SOKENDAI)
[2Q5-IS-1-04]Data-driven Analysis of Domain Specificity for Explainable Session-based Recommendation System
〇Kotaro Okazaki1, Tony Ribeiro2, Kuo-Yen Lo1, Jyunichi Sakuma4, Katsumi Inoue3(1. Sonar Inc., 2. Univ. Nantes, 3. National Institute of Informatics, 4. Video Research Ltd.)
[2Q5-IS-1-05]Evaluating Color-Word Association in LLMA Comparative Study of Human and AI
〇Makoto Fukushima1, Saki Kanada2, Shusuke Eshita2, Hiroshige Fukuhara2(1. Deloitte Touche Tohmatsu LLC, 2. Sony Design Consulting Inc.)
[3Q1-IS-2a-01]Exploring Challenges in Extracting Structured Knowledge from Financial Documents
〇Rungsiman Nararatwong1, Natthawut Kertkeidkachorn2, Ryutaro Ichise3,1(1. National Institute of Advanced Industrial Science and Technology, 2. Japan Advanced Institute of Science and Technology, 3. Tokyo Institute of Technology)
[3Q1-IS-2a-02]A Weakly Supervised Approach Leveraging Causal-sensitive Sentence Embeddings by Contrastive Learning for Discerning Economic Causality
〇Ryotaro Kobayashi1, Yuri Murayama1, Kiyoshi Izumi1(1. The University of Tokyo)
[3Q1-IS-2a-03]Classifying and Extracting Information from Promotions for Demand Forecasting Using Topic Modelling with BERTopic.
〇Yingsha Yang1, Kazuhiro Koike1, Yasuyuki Mitsui1(1. ASKUL Corporation)
[3Q1-IS-2a-04]The Impact of Noisy Information in Knowledge Graphs on Recommendation Performanc
〇Yun Liu1, Natthawut Kertkeidkachorn2, Jun Miyazaki3, Ryutaro Ichise3,1(1. National Institute of Advanced Industrial Science and Technology, 2. Japan Advanced Institute of Science and Technology, 3. Tokyo Institute of Technology)
[3Q1-IS-2a-05]Predicting Performance of Responsive Search Ad Surface Texts
〇Melvin Charles Dy1(1. OPT, Inc.)
[3Q5-IS-2b-01]Enhancing 2D Pose Estimation Models through Adversarial Learning Techniques
〇Rina Komatsu1, Tad Gonsalves1(1. Sophia University)
[3Q5-IS-2b-02]Evaluating Japanese Language Proficiency in Large Language Models through Definition Modeling Techniques
〇Ran Li1, Edison Marrese-Taylor1,2, Yutaka Matsuo1(1. Graduate School of Engineering, The University of Tokyo, 2. National Institute of Advanced Industrial Science and Technology)
[3Q5-IS-2b-03]Generative Image Synthesis as a Substitute for Real Images in Pre-training of Vision Transformers
〇Luiz Henrique Mormille1, Iskandar Salama1, Masayasu Atsumi1(1. Soka University)
[3Q5-IS-2b-04]Generative Model of Policies: Exploring the Latent Space with Human Feedback
〇Raffael Bolla Di Lorenzo1, Michita Imai1(1. Keio University)
[3Q5-IS-2b-05]User Interface Design using Masked Language Modeling in a Transformer Encoder-based Model
〇Iskandar Salama1, Luiz Henrique Mormille1, Masayasu Atsumi1(1. Soka University)
[4Q1-IS-2c-01]HR Analytic through Employee Attrition detection and segmentation based on efficient feature selection
〇Sabahat Asif Durrani1, Iffat Maab2, Usman Haider3(1. Ghulam Ishaq Khan Institute of Engineering Sciences and Technology, 2. The University of Tokyo, Japan, 3. National University of Computer and Emerging Sciences)
[4Q1-IS-2c-02]Physics-Informed Neural Networks for Two-Phase Flow Simulations: An Integrated Approach with Advanced Interface Tracking Methods
〇WEN ZHOU1, Shuichiro Miwa1, Koji Okamoto1(1. The University of Tokyo)
[4Q1-IS-2c-03]C3-LRP: Visual Explanation Generation based on Layer-Wise Relevance Propagation for ResNet
〇Félix Doublet1, Seitaro Otsuki1, Iida Tsumugi1, Komei Sugiura1(1. Keio University )
[4Q1-IS-2c-04]Human-Aligned Topic Model for Explanations of Image Classification
〇Jingbo Yan1,2, Seiji Yamada2,1(1. SOKENDAI, 2. NII)
[4Q1-IS-2c-05]Human Activity Recognition Framework Based on Generative Imputation of Missing Modalities
〇Xiaolong Guan1, Kimiaki Shirahama1, Miho Ohsaki1(1. Doshisha University)
[4Q3-IS-2d-01]An Effective Approach to Enhance ECG Signal Processing for Improved Classification
〇Iffat Maab1, Usman Haider3, Edison Marrese-Taylor1, Sabahat Asif Durrani2, Muhammad Hanif2, Yutaka Matsuo1(1. The University of Tokyo, 2. Ghulam Ishaq Khan Institute of Engineering Sciences and Technology, Topi, 3. National University of Computer and Emerging Sciences, Islamabad)
[4Q3-IS-2d-02]A Comparative Study of Content Dependent and Independent Emotion Recognition using Convolutional Neural Network Based on DEAP Dataset
〇Zhiying Huang1, Ao Guo2, Jianhua Ma1(1. Hosei University, 2. Nagoya University)
[4Q3-IS-2d-03]Artificial Intelligence-Based Models to Predict the Activation State of Coronavirus Molecular Pathway Networks
〇Shihori Tanabe1, Sabina Quader2, Ryuichi Ono1, Horacio Cabral3, Kazuhiko Aoyagi4, Edward J Perkins5, Hiroshi Yokozaki6, Hiroki Sasaki4(1. National Institute of Health Sciences, 2. Innovation Center of NanoMedicine, 3. The Univ. of Tokyo, 4. National Cancer Center Research Institute, 5. US Army Engineer Research and Development Center, 6. Kobe Univ.)
[4Q3-IS-2d-04]BiLSTM-Attention Deep neural networks for Electrocardiogram arrhythmia classification
〇YUAN YAWEN1(1. Kyushu university)
[4Q3-IS-2d-05]A machine learning model for predicting quantum chemistry based protein-drug molecule interactions
〇Ryosuke Kita1, Chiduru Watanabe2, Masateru Ohta2, Naoki Tanimura3, Koji Okuwaki4, Mitsunori Ikeguchi2,5, Kaori Fukuzawa6, Teruki Honma2, Tsuyohiko Fujigaya1, Koichiro Kato1(1. Department of Applied Chemistry, Kyushu University, 2. RIKEN Center , 3. Mizuho Research & Technologies, Ltd, 4. JSOL Corporaion, 5. Yokohama City University, 6. Department of Pharmacy, Osaka University)
[2Q1-IS-3-01]Assessing the Aesthetic Evaluation Capabilities of GPT-4 with Vision: Insights from Group and Individual Assessments
〇Yoshia Abe1, Tatsuya Daikoku1, Yasuo Kuniyoshi1(1. the university of Tokyo)
[2Q1-IS-3-02]Assessment of the Impact and Mechanism of Smart Money Traders through Agent-based Market Simulations
〇Lan Nguyen Tran1, Mamoru Yoshizoe2, Hiromitsu Hattori2(1. Graduate School of Information Science and Engineering, Ritsumeikan University, 2. College of Information Science and Engineering)
[2Q1-IS-3-03]Development of an Affordable and User-Friendly Lower Body Motion Capture System Utilizing IMUs and Flex Sensors
〇Yury Mishustin1(1. American School in Japan)
[2Q1-IS-3-04]An innovative approach to studying complex social problems by combining multi-agent simulation and model-checking
Xiaoyun Guo, 〇Guanhong Li1(1. Kyoto University of Foreign Studies)
[2Q1-IS-3-05]Examining the Impact of Conversational AI Interaction on Perceptions of Individuals with Extreme Views in Post-2021 Afghanistan
〇Jawad Haqbeen1, Sofia Sahab1, Takayuki Ito1(1. Kyoto University)
[2Q4-IS-5-01]AI-Driven Predictive Analysis to Enhance Operational Efficiency of Sustainable Energy using Intelligent Energy Data Management platform
Vaibhav Geeta Pankaj Mehta1,2,5, 〇Masashi Koda 1, Shoji Satoshi1, Tetsu Iwasaki4, Masakazu Nishimoto 1,3(1. TAS Design Group, 2. Japan Society of Artificial Intelligence , 3. TAS Holding Group , 4. i GRID Lab, 5. Japan Society of Civil Engineers )
[2Q4-IS-5-02]Generating Apparel Images by Using Stable Diffusion with Prompt Recommendation
〇Xiao-Zhen Liu1, Hao-Ming Hung1, Lieu-Hen Chen1(1. Dept. Computer Science and Information Engineering, National Chi Nan University, Taiwan)
[2Q4-IS-5-03]Estimating Human Attentional Focus based on EEG signals using Machine Learning
〇Felipe Yudi Fulini1, Chen Feng1, Midori Sugaya1(1. Shibaura Institute of Technology)
[2Q4-IS-5-04]Data Fusion Strategies in Object Detection: A Case Study of Road Image and Eye Movement Data Integration
〇Ke Yu1(1. the University of Tokyo)
[2Q4-IS-5-05]Impact of Role Prompting on Automated Essay Scoring Using GPT Models
〇Chenhui Li1, Lui Yoshida1(1. The University of Tokyo)
[1F3-GS-1-01]ポアソン分布に従うマルチタスクデータを対象としたスパース推定手法
〇吉永 悠真1、真鍋 晋一郎1、鳥井 修1(1. キオクシア株式会社)
[1F3-GS-1-02]混合整数線形計画の逆問題におけるSuboptimality損失と予測損失の等価性
〇北岡 旦1、江藤 力1(1. 日本電気株式会社)
[1F3-GS-1-03]制約と変数の貢献度に基づく説明可能な計画最適化のための分枝限定法の高速化
〇土屋 祐太1、濱本 真生1(1. 株式会社日立製作所)
[1F3-GS-1-04]連続値ブラックボックス最適化アルゴリズム(1+1)-ESの強凸かつリプシッツ平滑な目的関数における収束速度の理論的評価
〇森永 大貴1、秋本 洋平1,2(1. 筑波大学、2. 理研AIP)
[1F3-GS-1-05]微分可能な論理プログラムによるDistant Supervision
〇竹村 彰浩1,2、井上 克巳1(1. 国立情報学研究所、2. 株式会社インテージホールディングス)
[4N1-GS-1-01]Retention機構に基づく頭蓋内脳波の分類とBMIの構築
〇長嶋 隼矢1、兼田 寛大1、飯田 紡1、田口 美紗2、平田 雅之2、杉浦 孔明1(1. 慶應義塾大学、2. 大阪大学)
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