[1K4-E-1-01]How is Social Capital Associated with Perception of AI?An Observation from a Survey of Residents in Metropolitan Tokyo Area
〇Yoji Inaba1(1. Nihon University)
JSAI2019
Jun 4 - Jun 7, 2019TOKI MESSE, Niigata Convention Center
You can search for presentations in this event.
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JSAI2019
Jun 4 - Jun 7, 2019TOKI MESSE, Niigata Convention Center
You can search for presentations in this event.
SearchSearch Results(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]Consideration of the relationship between explicit knowledge and tacit knowledge in an intellectual task
〇Itsuki Takiguchi1(1. Graduate School of Humanities and Studies on Public Affairs Chiba University)
[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]Improvement of Product Shipment Forecast based on LSTM Incorporating On-Site Knowledge as Residual Connection
〇Takeshi Morinibu1, Tomohiro Noda1, Shota Tanaka1(1. Daikin Industries, Ltd. Technology and Innovation Center)
[2H4-E-2-03]Unsupervised Joint Learning for Headline Generation and Discourse Structure of Reviews
〇Masaru Isonuma1, Junichiro Mori1, Ichiro Sakata1(1. The University of Tokyo)
[2H4-E-2-04]Gradient Descent Optimization by Reinforcement Learning
〇Yingda Zhu1, Teruaki Hayashi1, Yukio Ohsawa1(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]Multi-carrier energy hub management through deep deterministic policy gradient over continuous action space
Hioki Tomoyuki1, 〇Tomah Sogabe1,2,3, Dinesh Malla3, Kei Takahashi1, Masaru Sogabe3, Katsuyoshi Sakamoto1, Kouichi Yamaguchi1(1. Department of Engineering Science ,The University ofElectro-Communications, 2. Info-Powered Energy System Research Center, 3. Grid Inc.)
[2A4-E-2-02]Attention-masking extended deep Q network (AME-DQN) reinforcement learning algorithm for combinatory optimization of smart-grid energy
〇Dinesh Bahadur Malla3, Hioki Tomoyuki 2, Kei Takahashi2, Masaru Sogabe3, Katsuyoshi Sakamoto1,2, Koichi Yamaguchi1,2, Tomah Sogabe1,2,3(1. i-PERC, The University ofElectro-Communications, 2. The University ofElectro-Communications, 3. Grid Inc.)
[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]A Matrix-Operation Fast Approximated Solution for Logistic Regression with Strong L2 Regularization
〇Zeke Xie1, Jinze Yu1, Yanping Deng2(1. University of Tokyo, 2. Waseda University)
[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]Local Feature Fitting Learning Network for Point Cloud ClassificationLFFLN Convolution simulation network
〇Lu SUN1(1. Chiba University )
[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]One-shot Learning using Triplet Network with kNN classifier
〇Mu Zhou1,2, Yusuke Tanimura2,1, Hidemoto Nakada2,1(1. University of Tsukuba, 2. Artifical Intelligence Research Center, National Institute of Advanced Institute of Technology)
[3B3-E-2-03]Cycle Sketch GAN: Unpaired Sketch to Sketch Translation Based on Cycle GAN Algorithm
〇Takeshi Kojima1(1. Peach Aviation Limited)
[3B3-E-2-04]Conditional DCGAN's Challenge: Generating Handwritten Character Digit, Alphabet and Katakana
〇Rina Komatsu1, Tad Gonsalves1(1. Sophia University)
[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]Evaluating Road Surface Condition by using Wheelchair Driving Data and Positional Information based Weakly Supervision
〇Takumi Watanabe1, Hiroki Takahashi1, Yusuke Iwasawa2, Yutaka Matsuo2, Ikuko Eguchi Yairi1(1. Sophia Univ., 2. Univ. of Tokyo)
[4D3-E-2-05]Prediction of the Onset of Lifestyle-related Diseases Using Regular Health Checkup Data
〇Mitsuru Tsunekawa1, Natsuki Oka1, Masahiro Araki1, Motoshi Shintani2, Masataka Yoshikawa3, Takashi Tanigawa4(1. Kyoto Institute of Technology, 2. SG Holdings Group Health Insurance Association, 3. Japan System Techniques Co.,Ltd., 4. Juntendo University)
[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]Multi-Agent Traffic Signal Control System Using Deep Q-Network
〇YOHEI KANZAKI1, Keisuke Ohno1, Eichi Takaya1, Satoshi Kurihara1(1. Keio University)
[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]An Approach to Knowledge Graph Completion based on Discussion Agents using IBIS Structure
〇Xiangyu Zhang1, Shun Shiramatsu2(1. Department of Computer Science, Faculty of Engineering, Nagoya Institute of Technology, 2. Department of Computer Science, Graduate School of Engineering, Nagoya Institute of Technology)
[2O5-E-3-03]Using Q-learning and Estimation of Role in Werewolf Game
〇Makoto Hagiwara1, Ahmed Moustafa1, Takayuki Ito1(1. Nagoya Institute of Technology)
[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Youichiro Miyake1(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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