[1K4-E-1-01]社会関係資本とAI への認識東京首都圏におけるWEB調査からの知見
〇稲葉 陽二1(1. 日本大学)
2019年度 人工知能学会全国大会（第33回）
2019年6月4日〜6月7日朱鷺メッセ 新潟コンベンションセンター
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2019年度 人工知能学会全国大会（第33回）
2019年6月4日〜6月7日朱鷺メッセ 新潟コンベンションセンター
当該イベント内で検索します。
検索する検索結果(794)
[1K4-E-1-02]Multimodal Neural Network–based Health Platform for Knowledge Decision-Making
〇Kyungyong Chung1(1. Kyonggi University)
[1K4-E-1-03]Variables Extraction in Natural (English) Language Through Possessive Relationships
〇Danilo Eidy Miura1, Teruaki Hayashi1, Yukio Ohsawa1(1. The University of Tokyo)
[1K4-E-1-04]Using Sequence Constraints for Modelling Network Interactions
Johannes De Smedt2, 〇Junichiro Mori1, Masanao Ochi1(1. The University of Tokyo, 2. The University of Edinburgh)
[1K4-E-1-05]CTransE : Confidence-Based Translation Model for Uncertain Knowledge Graph Embedding
〇Natthawut Kertkeidkachorn1,2, Xin Liu1, Ryutaro Ichise2,1(1. National Institute of Advanced Industrial Science and Technology, 2. National Institute of Informatics)
[2K3-E-1-01]Mobile Website Creation based on Web Data eXtraction and Reuse
〇Chia-Hui Chang1, Yan-Kai Lai1, Yu-An Chou1, Oviliani Yenty Yuliana1(1. National Central University)
[2K3-E-1-02]Reduction of Erasable Itemset Mining to Frequent Itemset Mining
〇Tzung-Pei Hong1,2, Chun-Ho Wang2, Chia-Che Li2, Wen-Yang Lin1(1. National University of Kaohsiung, 2. National Sun Yat-sen University)
[2K3-E-1-03]知的作業における形式知と暗黙知との関係の検討
〇滝口 樹1(1. 千葉大学 大学院 人文公共学府)
[2K3-E-1-04]k-th Order Intelligences: Learning To Learn To Do
〇Francisco J Arjonilla1, Yuichi Kobayashi1(1. Graduate School of Science and Technology, Shizuoka University)
[2H4-E-2-01]Curiosity Driven by Self Capability Prediction
〇Nicolas Bougie1,2, Ryutaro Ichise2,1(1. Sokendai, The Graduate University for Advanced Studies, 2. National Institute of Informatics)
[2H4-E-2-02]現場知見をLSTMの構造にResidual Connectionとして反映させたことによる製品出荷数予測の精度改良
〇森鳰 武史1、野田 朋裕1、田中 将太1(1. ダイキン工業株式会社 テクノロジー・イノベーションセンター)
[2H4-E-2-03]潜在的な談話構造を捉えたレビュー文書の教師なしヘッドライン生成
〇磯沼 大1、森 純一郎1、坂田 一郎1(1. 東京大学)
[2H4-E-2-04]Gradient Descent Optimization by Reinforcement Learning
〇Zhu Yingda1、Hayashi Teruaki1、Ohsawa Yukio1(1. The University of Tokyo)
[2H4-E-2-05]Reducing the Number of Multiplications in Convolutional Recurrent Neural Networks (ConvRNNs)
〇Daria Vazhenina1, Atsunori Kanemura1(1. Leapmind Inc.)
[2A4-E-2-01]連続行動空間上での決定型方策勾配を用いた深層強化学習によるマルチキャリアエネルギーハブ管理
日置 智之1、〇Sogabe Tomah 1,2,3、Malla Dinesh 3、Takahashi Kei 1、Sogabe Masaru 3、Sakamoto Katsuyoshi1、Yamaguchi Kouichi1(1. 電気通信大学先進理工学科、2. 電気通信大学iーパワードエネルギーシステム研究センター、3. (株)グリッド)
[2A4-E-2-02]アテンションとマスキング技術で拡張した強化学習による電力エネルギーシステム最適化研究
〇Malla Dinesh3、Tomoyuki Hioki2、Takahashi Kei 2、Sogabe Masaru 3、Sakamoto Katsuyoshi 1,2、Yamaguchi Koichi 1,2、Sogabe Tomah 1,2,3(1. 電気通信大学 i-PERC、2. 電気通信大学、3. 株式会社グリッド)
[2A4-E-2-03]Exploring Machine Learning Techniques for Irony Detection
〇Zheng Lin Chia1, Michal Ptaszynski1, Fumito Masui1(1. Kitami Institute of Technology)
[2A4-E-2-04]強L 2正則化を用いたロジスティック回帰のための行列演算高速近似解
〇謝 澤柯1、余 錦澤1、鄧 燕平2(1. 東京大学、2. 早稲田大学)
[2A4-E-2-05]Final Sample Batch Normalization For Quantized Neural Networks
〇Joel Owen Nicholls1, Atsunori Kanemura1(1. LeapMind Inc.)
[2H5-E-2-01]点群分類のための局所特徴適合学習ネットワークLFFLN 畳込みシミュレーションネットワーク
〇孫 璐1(1. 千葉大学)
[2H5-E-2-02]Feasible Affect Recognition in Advertising based on Physiological Responses from Wearable Sensors
〇Taweesak Emsawas1(1. Osaka University)
[2H5-E-2-03]Deep Markov Models for Data Assimilation in Chaotic Dynamical Systems
〇Calvin Janitra Halim1, Kazuhiko Kawamoto1(1. Chiba University)
[2H5-E-2-04]Modelling Naturalistic Work Stress Using Spectral HRV Representations and Deep Learning
〇Juan Lorenzo Mutia Hagad1, Ken-ichi Fukui1, Masayuki Numao1(1. Osaka University)
[3B3-E-2-01]Design a Loss Function which Generates a Spatial configuration of Image In-betweening
〇Paulino Cristovao1, Hidemoto Nakada1,2, Yusuke Tanimura1,2, Hideki Asoh2(1. University of Tsukuba, 2. National Advanced Institute of Science and Technology of Japan (AIST))
[3B3-E-2-02]Triplet Networkとk近傍クラス分類器を用いたワンショット学習
〇周 牧1,2、谷村 勇輔2,1、中田 秀基2,1(1. 筑波大学、2. 産業技術総合研究所 人工知能研究センター)
[3B3-E-2-03]Cycle Sketch GAN : Cycle GANアルゴリズムに基づいた教師なしスケッチ変換
〇小島 武1(1. Peach Aviation 株式会社)
[3B3-E-2-04]Conditional DCGANによる数字・アルファベット・カタカナの手書き文字生成の試み
〇小松 里奈1、ゴンサルベス タッド1(1. 上智大学)
[3B3-E-2-05]Sparse Damage Per-pixel Prognosis Indices via Semantic Segmentation
〇Takato Yasuno1(1. Research Institute for Infrastructure Paradigm Shift (RIIPS))
[3B4-E-2-01]Social Influence Prediction by a Community-based Convolutional Neural Network
Shao-Hsuan Tai1, Hao-Shang Ma1, 〇Jen-Wei Huang1(1. National Cheng Kung University)
[3B4-E-2-02]A Community Sensing Approach for User Identity Linkage
〇Zexuan Wang1, Teruaki Hayashi1, Yukio Ohsawa1(1. Department of Systems Innovation, School of Engineering, The University of Tokyo)
[3B4-E-2-03]Learning Sequential Behavior for Next-Item Prediction
〇Na Lu1, Yukio Ohsawa1, Teruaki Hayashi1(1. The University of Tokyo)
[3B4-E-2-04]Application of Unsupervised NMT Technique to Japanese--Chinese Machine Translation
〇Yuting Zhao1, Longtu Zhang1, Mamoru Komachi1(1. Tokyo Metropolitan University)
[3B4-E-2-05]Synthetic and Distribution Method of Japanese Synthesized Population for Real-Scale Social Simulations
〇Tadahiko Murata1, Takuya Harada1(1. Kansai University)
[4D3-E-2-01]Privacy-Preserving Resident Monitoring System with Ultra Low-Resolution Imaging and the Examination of Its Ease of Installation
〇Takumi Kimura1, Shogo Murakami1, Ikuko Egushi Yairi1(1. Sophia University)
[4D3-E-2-02]Trees Detection on Google Street View Images Using Deep Learning and City Open Data
〇Lieu-Hen Chen1, Hao-Ming Hung1, Cheng-Yu Sun1, Eric Hsiao-Kuang Wu2, Toru Yamaguchi3, Eri Sato-Shimokawara3, Hao Chen1(1. Nantional Chi Nan University, 2. National Central University, 3. Tokyo Metropolitan University)
[4D3-E-2-03]Scoring and Classifying Regions via Multimodal Transportation Networks
〇Aaron Bramson1,2,3,4, Megumi Hori1, Zha Bingran1, Hirohisa Inamoto1(1. GA Technologies, 2. RIKEN Center for Biosystems Dynamics Research, 3. Ghent Univeristy, 4. UNC - Charlotte)
[4D3-E-2-04]車いす走行データと位置情報による弱教師を用いた路面状態の評価
〇渡邉 拓実1、高橋 宏紀1、岩澤 有祐2、松尾 豊2、矢入 郁子1(1. 上智大学、2. 東京大学)
[4D3-E-2-05]健診データを用いた生活習慣病の発症予測
〇恒川 充1、岡 夏樹1、荒木 雅弘1、新谷 元司2、吉川 昌孝3、谷川 武4(1. 京都工芸繊維大学、2. SGホールディングスグループ健康保険組合、3. 日本システム技術株式会社、4. 順天堂大学)
[2F1-E-3-01]ANAC 2018: Repeated Multilateral Negotiation League
Reyhan Aydogan1,4, 〇Katsuhide Fujita2, Tim Baarslag3, Catholijn M. Jonker4, Takayuki Ito5(1. Ozyegin University, 2. Tokyo University of Agriculture and Technology Tokyo, 3. Centrum Wiskunde & Informatica, 4. Delft University of Technology, 5. Nagoya Institute of Technology)
[2F1-E-3-02]Extraction of Online Discussion Structures for Automated Facilitation Agent
〇Shota Suzuki1, Naoko Yamaguchi1, Tomohiro Nishida1, Ahmed Moustafa1, Daichi Shibata1, Kai Yoshino1, Kentaro Hiraishi1, Takayuki Ito1(1. Nagoya Institute of Technology)
[2F1-E-3-03]An Automated Negotiating Agent that Searches the Bids around Nash Bargaining Solution to Obtain High Joint Utilities
Shan Liu1, 〇Ahmed Moustafa1, Takayuki Ito1(1. Nagoya Institute of Technology)
[2F1-E-3-04]Analysis of Incentive Ratio in Top-Trading-Cycles Algorithms
〇Taiki Todo1(1. Kyushu University)
[2F1-E-3-05]Deep Q-Networkを用いたマルチエージェント交通信号制御システム
〇神崎 陽平1、大野 啓介1、高屋 英知1、栗原 聡1(1. 慶應義塾大学)
[2O5-E-3-01]Improving the Accuracy of the Collective Prediction by Maintaining the Diversity of Opinions: Preliminary Report
〇Rui Chen1, Shigeo Matsubara1(1. Kyoto University)
[2O5-E-3-02]IBIS構造を用いた議論エージェントに基づくナレッジグラフ推論チャレンジへのアプローチ
〇張 翔宇1、白松 俊2(1. 名古屋工業大学 工学部 情報工学科、2. 名古屋工業大学 大学院工学研究科 情報工学専攻)
[2O5-E-3-03]Using Q-learning and Estimation of Role in Werewolf Game
〇萩原 誠1、Moustafa Ahmed1、伊藤 孝行1(1. 名古屋工業大学)
[2O5-E-3-04]Inferring Agent's Goals from Observing Successful Traces
〇Guillaume LORTHIOIR1,2, Katsumi INOUE1,2, Gauvain Bourgne3(1. SOKENDAI (The Graduate University for Advanced Studies), 2. National Institute of Informatics, 3. Sorbonne Université, UPMC CNRS, UMR 7606,LIP6, F-75005, Paris, France)
[2O5-E-3-05]A New Character Decision-Making System by combining Behavior Tree and State Machine
〇三宅 陽一郎1(1. SQUARE ENIX)
[3H3-E-3-01]An Autonomous Cooperative Randomization Approach to Prevent Attacks Based on Traffic Trends in the Communication Destination Anonymization Problem
〇Keita Sugiyama1, Naoki Fukuta1(1. Shizuoka University)
[3H3-E-3-02]Cooperation Model for Improving Scalability of the Multi-Blockchains System
〇Keyang Liu1, Yukio Ohsawa1, Teruaki Hayashi 1(1. University of Tokyo, Graduate school of engineer)
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