JSAI2022
Jun 14 - Jul 8, 2022Kyoto International Conference Center＋online
You can search for presentations in this event.
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JSAI2022
Jun 14 - Jul 8, 2022Kyoto International Conference Center＋online
You can search for presentations in this event.
SearchSearch Results(1,059)
[1A3-PS-1-00]オープニング
[1A3-PS-1-01]未来の知能とバイアス
〇山川 宏1(1. 特定非営利活動法人全脳アーキテクチャ・イニシアティブ)
[1A4-GS-2-01]A Study of Model Predicting User Attributes Based on Semi-supervised Learning by Ladder Network
〇Mizuki Takeuchi1, Taichi Imafuku1, Yuta Sakai1, Masayuki Goto1(1. Waseda University)
[1A4-GS-2-02]Recommendation with the Mixture of Multiple Object Similarities
〇Ryo Okuda1, Noboru Murata1(1. Waseda University)
[1A4-GS-2-03]A Study of Improving the Serendipity of Recommendation Lists Based on Collaborative Metric Learning
〇Akiko Yoneda1, Ryota Matsunae1, Haruka Yamashita2, Masayuki Goto1(1. Waseda University, 2. Sophia University)
[1A4-GS-2-04]A Study on Item Analysis Method Considering the Persistence of User Interest Based on Hidden Semi-Markov Model
〇Kirin Tsuchiya1, Yuki Tsuboi1, Ryotaro Shimizu1, Goto Masayuki1(1. Waseda University)
[1A4-GS-2-05]A Study of Emotion Classification Using Neural Network with Voice Data
〇Masashi Takaku1, Shoichi Urano1(1. Meiji University)
[1A5-GS-2-01]Predicting the VI index using the stock bulletin board and newspaper article data
〇Ren Hosokawa1, Yuki Ogawa1, Kentaro Ueda2, Hirohiko Suwa2, Eiichi Ueda3, Tatsuo Yamashita4, Kota Tsubouchi4(1. Dep. of Information Science and Engineering, Ritsumeikan University, 2. Nara Institute of Science and Technology, 3. Niigata University of International and Information Studies, 4. Yahoo! JAPAN Research)
[1A5-GS-2-02]Learning to optimize investment ratios and risk-aware behavior in Compound Deep Reinforcement Learning
〇sho inden1, tohgoroh matsui1(1. chubu University)
[1A5-GS-2-03]Exhaustive Analysis of Concept Drift
〇Kenichi YOSHIDA1(1. Universty of Tsukuba)
[1A5-GS-2-04]Evaluation of Market Impact based on Stock Price Prediction using Limit Order Book
〇kohei sugawara1, jun hozumi1, kiyoshi izumi1(1. University of Tokyo)
[1A5-GS-2-05]Stock price prediction considering news information
〇Motoki Takenaka 1, Shoichi Urano1(1. Meiji University)
[1D1-GS-2-01]An Efficient Learning Framework of Sequential Variational Auto-Encoders by Sequential Filtering
〇Tsuyoshi Ishizone1, Tomoyuki Higuchi2, Kazuyuki Nakamura1(1. Meiji University, 2. Chuo University)
[1D1-GS-2-02]Scheduling of Damping in Natural Gradient Method
〇Hiroki Naganuma1,2, Gaku Fujimori3, Mari Takeuchi4, Jumpei Nagase5(1. University of Montreal, 2. Mila, 3. Tokyo University of Science, 4. University College London, 5. Shibaura Institute of Technology)
[1D1-GS-2-03]Integrating Fuzzy Control and Reinforcement LearningLearning membership functions and rule weights
〇Shun Ichige1, Harukazu Igarashi1, Seiji Ishihara2(1. Shibaura Institute of Technology , 2. Tokyo Denki University)
[1D1-GS-2-04]Achieving desirable loss distributions by design
〇Matthew J. Holland1(1. Osaka University)
[1D2-LS-1-01]インテルの最新 AI ソリューション GPU、新命令、OpenVINO™ ツールキットインテル株式会社
志村 泰規
[1D4-TS-3-01]自然言語処理とVision-and-Language
西田 京介1(1. NTT)
[1D5-GS-11-01]Avoiding Privacy Data Exposure in Machine Learning Models with Differential Privacy
〇Fumiya Komatsu1, Takashi Takekawa1(1. Kogakuin University of Technology and Engineering)
[1D5-GS-11-02]Effectiveness Verification of Crossover by Items and Warehouses in Item Stock Allocation Optimization Used Multi-objective Evolutionary Computation
〇Yasuyuki Mitsui1, Yuki Yamakoshi2, Hiroyuki Sato2(1. Askul Corporation, 2. The University of Electro-Communications)
[1D5-GS-11-03]Associating technical documents and export control laws using Japanese-English translation for regulatory compliant data access control
〇Keiichi Matsuzawa1, Mitsuo Hayasaka1(1. Hitachi, Ltd.)
[1D5-GS-11-04]Research on the impact of “ambidextrous researchers” with two hats of academia and cooperation in the era of digital convergence
〇Tomomi Yamazaki1(1. The University of Tokyo)
[1E1-IND-1-01]CLISP-ML(Q)をはじめとしたMLシステムの品質確保に関する調査電通国際情報サービス
小川 雄太郎、後藤 勇輝
[1E1-IND-1-02]名刺に特化した独自OCRエンジン開発の取り組みSansan株式会社
内田 奏
[1E1-IND-1-03]CPU だけで AI をやり切った 最新事例のご紹介 '22 夏インテル株式会社
大内山 浩
[1E1-IND-1-04]コニカミノルタの画像AI・IoTプラットフォーム「FORXAI：フォーサイ」コニカミノルタ株式会社
早田 啓介
[1E1-IND-1-05]日本総合研究所 先端技術ラボにおけるＡＩ分野の技術リサーチと応用事例株式会社日本総合研究所
由井 成和
[1E2-LS-2-01]HPEが提案する新しい分散機械学習アーキテクチャ”Swarm Learning”とその開発基盤(仮)日本ヒューレット・パッカード合同会社
木村 拓
[1E4-IND-2-01]神は細部に宿る-アノテーションデータ外注への第一歩株式会社バオバブ
相良 美織
[1E4-IND-2-02]プラント自律制御にむけたAI技術適用事例横河電機株式会社
小渕 恵一郎
[1E4-IND-2-03]パナソニックのAI活用事例パナソニック ホールディングス株式会社
河村 岳
[1E4-IND-2-04]顧客の興味・関心データを活用した企業のマーケティング高度化株式会社ARISE analytics
石原 祥悟
[1E4-IND-2-05]AI開発や導入を効率化させるオンプレソリューション株式会社 日本HP
新井 信勝
[1E5-IND-3-01]ウォンテッドリーにおける推薦システム開発事例ウォンテッドリー株式会社
合田 周平
[1E5-IND-3-02]中外製薬が目指す革新的な新薬創出｜AI活用の事例紹介中外製薬株式会社
中西 義人
[1E5-IND-3-03]永久ベンチャーDeNAが音声AI研究開発でめざす世界株式会社ディー・エヌ・エー
豆谷 浩輝
[1E5-IND-3-04]NTTコミュニケーションズのデータ分析に関する取り組みのご紹介NTTコミュニケーションズ株式会社
島田 健一郎
[1E5-IND-3-05]フューチャーでのAI事例紹介フューチャー株式会社
市村 拓也
[1F1-GS-10-01]Mediator AI for Preventing Social Isolation Among People
〇Fumihide Tanaka1, Yohei Noguchi1(1. University of Tsukuba)
[1F1-GS-10-02]Secondary Impacts of Returning Scientists in China
〇Taiki Mito1, Kimitaka Asatani1, Takahiro Miura1, Ichiro Sakata1(1. Graduate School of Engineering, The University of Tokyo)
[1F1-GS-10-03]Estimating the class participation of children using face information for reflection
〇Mayuko Maruyama1, Masahiro Miyata1, Tetsuji Yamada1, Takeshi Aihara1, Takashi Omori1(1. Tamagawa University)
[1F1-GS-10-04]Proposal of a Method for Reducing the Man-hours Required to Create Teacher Data for In-Vehicle Camera Videos
〇Hisashi Koajiro1, Satoshi Kageyama1(1. Nomura Research Institute, Ltd.)
[1F1-GS-10-05]The Ethnic linkage in International Trade
〇Joomi Jun1, takayuki mizuno2,1(1. The Graduate University for Advanced Studies, SOKENDAI, 2. National Institute of Informatics)
[1F4-GS-10-01]Visualization of Cracks inside Concrete using Quasi-3D Radar Images and GAN
〇Yoshihito YAMAMOTO1, Kazutaka Mitsutani2, Yasushi Kanazawa3, Kaito Tokushige3, Jun Sonoda4, Tomoyuki Kimoto5(1. Hosei University, 2. Nagoya University, 3. Toyohashi University of Technology, 4. National Institute of Technology, Sendai College, 5. National Institute of Technology, Oita College)
[1F4-GS-10-02]Fallen/Suspicious Object Detection by Using VAE and NNS with Frame Difference Image
〇Yoshiki Yamamoto1, Shun Sakai1(1. OMRON SOCIAL SOLUTIONS CO.,LTD.)
[1F4-GS-10-03]Semantic Segmentation for Floor plans of Dwelling units to extract Room Attributes
〇Shunichi Taniguchi1, Atomu Sonoda1, Takumi Ohyama2, Kei Furukawa2(1. Lightblue Technology Inc., 2. Shimizu Corporation)
[1F4-GS-10-04]Improving the accuracy of crack segmentation of revetment using Focal Tversky Loss
〇Yukino Tsuzuki1, Ryuto Yoshida1, Junichi Okubo1, Junichiro Fujii1, Takayoshi Yamashita2(1. Yachiyo Engineering Co., Ltd., 2. Chubu University)
[1F4-GS-10-05]Selection of features for Impressionist painting recommendations
〇Saki KATSURADA1, Takashi MORITA1, Tsukasa KIMURA1, Kenichi FUKUI1, Masayuki NUMAO1(1. OSAKA UNIVERSITY)
[1F5-GS-10-01]Anomaly Detection using Diffusion Model without Diffusion
〇Yu Kashihara1, Takashi Matsubara1(1. Osaka University)
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