Publications

102 results

Counterfactual Reasoning Using Predicted Latent Personality Dimensions for Optimizing Persuasion Outcome

Donghuo Zeng, Roberto Legaspi, Yuewen Sun(Carnegie Mellon University), Xinshuai Dong(Carnegie Mellon University), Kazushi Ikeda, Peter Spirtes(Carnegie Mellon University), Kun Zhang(Carnegie Mellon University)

The 19th International Conference on Persuasive Technology 2024

April 2024

Estimating Sense of Agency from Behavioral Logs of Smartphones and Wearable Devices: Toward a Just-in-Time Adaptive Intervention System

Ryunosuke Togawa, Roberto Legaspi, Yasutaka Nishimura, Akihiro Miyamamoto(NICT), Bo Yang, Eriko Sugisaki, Kazushi Ikeda, Nao Kobayashi, Yasushi Naruse(NICT)

The 19th International Conference on Persuasive Technology 2024 (Persuasive 2024)

April 2024

Enhancing Accuracy in LLM for Estimating Human Intentions: A Data-Driven Self-Validation Approach

Yudai Yamazaki, Daisuke Kamisaka

The 9th International Conference on Big Data Analytics (ICBDA)

March 2024

A Synergistic Large Language Model and Supervised Learning Approach to Zero-Shot and Continual Activity Recognition in Smart Homes

Naoto Takeda, Roberto Legaspi, Yasutaka Nishimura, Kazushi Ikeda, Thomas Ploetz, Sonia Chernova

The 9th International Conference on Big Data Analytics (ICBDA)

March 2024

Representing the Interaction between Users and Products via LLM-assisted Knowledge Graph Construction

Julio Vizcarra, Shuichiro Haruta, Mori Kurokawa

The 18th IEEE International Conference on Semantic Computing (ICSC 2024)

February 2024

A Graph-Based Recommendation Model Using Contrastive Learning for Inductive Scenario

Yuma Dose(Osaka University), Shuichiro Haruta, Takahiro Hara(Osaka University)

The 22nd International Conference on Machine Learning and Applications (ICMLA 2023)

December 2023

Fostering Innovation in Urban Transportation Risk Management: A Multi-Sector Collaborative Benchmarking Platform

Minh-Son Dao(NII), Huy Quang Ung, Sadanori Ito(NII), Shinya Wada, Koji Zettsu(NII)

2023 IEEE International Conference on Big Data (IEEE BigData 2023)

December 2023

Qobra: Fast Verification of Transactional Serializability with Quantum Annealing

Natsuki Hamada(Keio University), Kazuhiro Saito, Hideyuki Kawashima(Keio University)

2023 IEEE International Conference on Big Data (IEEE BigData 2023)

December 2023

Fine-Grained Urban Population Distribution Estimation Using Image Super-Resolution Model with Rich Auxiliary Information

Naoto Takeda, Akihiro Kobayashi(KDDI), Yudai Yamazaki, Daisuke Kamisaka

2023 IEEE International Conference on Big Data (IEEE BigData 2023)

December 2023

Unvisited Out-Of-Town POI Recommendation with Simultaneous Learning of Multiple Regions

Rikuto Tsubouchi(Osaka University), Takahiro Hara(Osaka University), Kei Yonekawa, Shuichiro Haruta

2023 IEEE International Conference on Big Data (IEEE BigData 2023)

December 2023

Detecting Dialogue Hallucination using Graph Neural Networks

Kazuaki Furumai, Yanan Wang, Makoto Shinohara, Kazushi Ikeda, Yi Yu(NII), Tsuneo Kato(Doshisha University)

The 22nd International Conference on Machine Learning and Applications (ICMLA 2023)

December 2023

ALLFA: Active Learning through Label and Feature Augmentation

Yasutaka Nishimura, Naoto Takeda, Roberto Legaspi, Kazushi Ikeda, Thomas Plötz(Georgia Institute of Technology), Sonia Chernova(Georgia Institute of Technology)

The 22nd International Conference on Machine Learning and Applications (ICMLA 2023)

December 2023

Two-Stage Triplet Loss Training with Curriculum Augmentation for Audio-Visual Retrieval

Donghuo Zeng, Kazushi Ikeda

The 25th IEEE International Symposium on Multimedia (ISM 2023)

December 2023

Embedding All Feasible Solutions of Traveling Salesman Problem by Divide-and-Conquer Quantum Search

Rei Sato, Kazuhiro Saitou, Tetsuro Nikuni(Tokyo University of Science), Shohei Watabe(Shibaura Institute of Technology)

2023 IEEE International Conference on Quantum Computing and Engineering (QCE23)

September 2023

Quantum negative sampling strategy for knowledge graph embedding with variational circuit

Pulak Ranjan Giri, Mori Kurokawa, Kazuhiro Saito

2023 IEEE International Conference on Quantum Computing and Engineering (QCE23)

September 2023

Domain-Aware Prototypical Federated Learning

Chuizheng Meng(USC), Jianke Yang(UC San Diego), Hao Niu, Guillaume Habault, Roberto Legaspi, Shinya Wada, Chihiro Ono, Yan Liu(USC)

The 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD2023), SoCal Data Science Day

August 2023

Continual Learning: Learning Ability and Algorithm

Gyuhak Kim(UIC), Changnan Xiao(New York University), Tatsuya Konishi, Bing Liu(UIC)

International Conference on Machine Learning (ICML) 2023

July 2023

Parameter-Level Soft-Masking for Continual Learning

Tatsuya Konishi, Mori Kurokawa, Chihiro Ono, Zixuan Ke(UIC), Gyuhak Kim(UIC), Bing Liu(UIC)

International Conference on Machine Learning (ICML) 2023

July 2023

Sensor Event Sequence Prediction for Proactive Smart Home Support Using Autoregressive Language Model

Naoto Takeda, Roberto Legaspi, Yasutaka Nishimura, Kazushi Ikeda, Atsunori Minamikawa, Thomas Plötz(Georgia institute of technology), Sonia Chernova(Georgia institute of technology)

The 19th International Conference on Intelligent Environments (IE 2023)

June 2023

CG-GNN: A Novel Compiled Graphs-based Feature Extraction Method for Enterprise Social Networks

Tatsuya Konishi, Shuichiro Haruta, Mori Kurokawa, Kenta Tsukatsune(Okayama University of Science), Yuto Mizutani(Unipos Co., Ltd.), Tomoaki Saitoi(Unipos Co., Ltd.), Hideki Asoh, Chihiro Ono

The 4th workshop on Intelligent Cross-Data Analysis and Retrieval (ICDAR 2023)

June 2023

Towards Multimodal Spatio-Temporal Transformer-based Models for Traffic Congestion Prediction

Huy Quang Ung, Yutaro Mishima, Hao Niu, Shinya Wada

The 4th workshop on Intelligent Cross-Data Analysis and Retrieval (ICDAR 2023)

June 2023

User-irrelevant Cross-domain Association Analysis for Cross-domain Recommendation with Transfer Learning

Hao Niu, Duc Nguyen(Tohoku Institute of Technology), Kei Yonekawa, Mori Kurokawa, Chihiro Ono, Daichi Amagata(Osaka University), Takuya Maekawa(Osaka University), Takahiro Hara(Osaka University)

The 4th workshop on Intelligent Cross-Data Analysis and Retrieval (ICDAR 2023)

June 2023

Semantic Relation Transfer for Non-overlapped Cross-domain Recommendations

Zhi Li(Osaka University), Daichi Amagata(Osaka University), Yihong Zhang(Osaka University), Takahiro Hara(Osaka University), Shuichiro Haruta, Kei Yonekawa, Mori Kurokawa

The 27th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2023)

May 2023

First Study to Enhance Self-Determination Theory by Utilizing Social Justification

Yukitoshi Kashimoto, Lian Cao, Yudai Yamazaki, Daisuke Kamisaka

The 2nd International Workshop on Digital Nudging and Digital Persuasion (DNDP 2023)

April 2023

Does the association between persuasive strategies and personality types vary across regions?

Wenzhen Xu, Roberto Legaspi, Yuichi Ishikawa

The 18th International Conference on Persuasive Technology 2023

April 2023

Time-Delayed Multivariate Time Series Predictions

Hao Niu, Guillaume Habault, Roberto Legaspi, Chuizheng Meng(USC), Defu Cao(USC), Shinya Wada, Chihiro Ono, Yan Liu(USC)

SIAM International Conference on Data Mining (SDM23)

April 2023

Inferring Attentional Bias State in Internet Gaming Disorder from Endogenous Activity in Hippocampus and Amygdala

Taiki Oka(ATR), Nao Kobayashi, Takatomi Kubo(ATR), Yuka Miyake, Arun Garimella(Massachusetts General Hospital and Harvard Medical school), Shuken Boku(Kumamoto University), Minoru Takebayashi(Kumamoto University), Mitsuo Kawato(ATR), Toshinori Chiba(ATR), Aurelio Cortese(ATR)

International Convention of Psychological Science 2023

March 2023

An Effective and Efficient Self-Attention Based Model for Next POI Recommendation

Qingxin Xia (Osaka University), Takahiro Hara (Osaka University), Takuya Maekawa (Osaka University), Mori Kurokawa, Kei Yonekawa

The 2nd Workshop on Ubiquitous and Multi-domain User Modeling (UMUM 2023)

March 2023

Estimating Treatment Effects from Irregular Time Series Observations with Hidden Confounders

Defu Cao(USC), James Enouen(USC), Yujing Wang(Peking University), Xiangchen Song(Carnegie Mellon University), Chuizheng Meng(USC), Hao Niu, Yan Liu(USC)

Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI-23)

February 2023

Debiasing Graph Transfer Learning via Item Semantic Clustering for Cross-Domain Recommendations

Zhi Li(Osaka University), Daichi Amagata(Osaka University), Yihong Zhang(Osaka University), Takahiro Hara(Osaka University), Shuichiro Haruta, Kei Yonekawa, Mori Kurokawa

2022 IEEE International Conference on Big Data (IEEE BigData 2022)

December 2022

A Novel Graph Aggregation Method Based on Feature Distribution Around Each Ego-node for Heterophily

Shuichiro Haruta, Tatsuya Konishi, Mori Kurokawa

The 14th Asian Conference on Machine Learning (ACML 2022)

December 2022

Multi-view Contrastive Multiple Knowledge Graph Embedding for Knowledge Completion

Mori Kurokawa, Kei Yonekawa,Shuichiro Haruta,Tatsuya Konishi, Hideki Asoh, Chihiro Ono, Masafumi Hagiwara(Keio University)

The 21st International Conference on Machine Learning and Applications (ICMLA 2022)

December 2022

Complete Cross-triplet Loss in Label Space for Audio-visual Cross-modal Retrieval

Donghuo Zeng, Yanan Wang, Jianming Wu, Kazushi Ikeda

24th IEEE International Symposium on Multimedia (ISM 2022)

December 2022

A Theoretical Study on Solving Continual Learning

Gyuhak Kim(University of Illinois at Chicago), Changnan Xiao(New York University), Tatsuya Konishi, Zixuan Ke(University of Illinois at Chicago), Bing Liu(University of Illinois at Chicago)

The 36th Conference on Neural Information Processing Systems (NeurIPS 2022)

November 2022

RIDEN: Uniform Density Histogram via Reference Instance Discriminator with Entropy Maximization for Distribution Shift Detection

Kei Yonekawa, Kazuhiro Saito, Mori Kurokawa 

The 2nd International Conference on AI-ML Systems (AI-ML Systems 2022)

October 2022

Physics-Informed Long-Sequence Forecasting From Multi-Resolution Spatiotemporal Data

Chuizheng Meng(USC), Hao Niu, Guillaume Habault, Roberto Legaspi, Shinya Wada, Chihiro Ono, Yan Liu(USC)

The 31st International Joint Conference On Artificial Intelligence (IJCAI-ECAI 2022)

July 2022

Trends-enhanced Attention & Memory Networks for E-commerce Recommendation

Zhi Li(Osaka University), Daichi Amagata(Osaka University), Takuya Maekawa(Osaka University), Kei Yonekawa, Mori Kurokawa,Takahiro Hara(Osaka University)

The 2022 SIGIR Workshop On eCommerce (SIGIReCom '22)

July 2022

Multidimensional Analysis of Sense of Agency During Goal Pursuit

Roberto Legaspi, Wenzhen Xu, Tatsuya Konishi, Shinya Wada, Yuichi Ishikawa

The 30th ACM Conference on User Modeling, Adaptation and Personalization (UMAP 2022)

July 2022

Practical Effectiveness of Quantum Annealing for Shift Scheduling Problem

Natsuki Hamada(Keio University), Kazuhiro Saito, Hideyuki Kawashima(Keio University)

2022 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW)

June 2022

Fast Accurate Discovery of Tuple Inclusion Dependencies

Mengfei Shen(Keio University), Hideyuki Kawashima(Keio University), Kazuhiro Saito

The 6th IEEE International Workshop on Big Data and IoT Security in Smart Computing (BITS 2022)

June 2022

Partially Relaxed Masks for Lightweight Knowledge Transfer without Forgetting in Continual Learning

Tatsuya Konishi, Mori Kurokawa, Roberto Legaspi, Chihiro Ono, Zixuan Ke(UIC), Gyuhak Kim(UIC), Bing Liu(UIC)

The 26th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2022)

May 2022

Mu2ReST: Multi-resolution Recursive Spatio-Temporal Transformer for Long-Term Prediction

Hao Niu, Chuizheng Meng(USC), Defu Cao(USC), Guillaume Habault, Roberto Legaspi, Shinya Wada, Chihiro Ono, Yan Liu(USC)

The 26th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2022)

May 2022

Persuasive Technology 2022_A Psychological Model for Predicting the Smartphone Zombie Phenomenon and Intervening

Tomohiro Sakai, Yuich Kuriki, Wenzhen Xu, Masato Taya, Atsunori Minamikawa

The 17th International Conference on Persuasive technology (PERSUASIVE 2022)

March 2022

The Utility of Personality Types for Personalizing Persuasion

Wenzhen Xu, Yuichi Ishikawa, Roberto Legaspi

The 17th International Conference on Persuasive technology (PERSUASIVE 2022)

March 2022

Forecasting of Important Economic Indicators based on Mobile Data and its application to effective trading

Takuya Kaneko(ICU), Yutaro Mishima, Shinya Wada, Rui Kimura(KDDI)

The 4th International Conference on Applied Research in Business, Management and Economics (BMECONF 2022)

March 2022

AI-based assessment of ESG scores using natural language processing

Zhixiong Chen, Kohei Sugiyama, Kazuyuki Tasaka, Tomomi Kito, Yukihiro Yasuda

2022 JFA-PBFJ Special Issue Conference

March 2022

J-Reit Investment Utilizing Mobile Spatial Statistics

Takuya Kaneko(ICU), Yutaro Mishima, Shinya Wada, Rui Kimura(KDDI)

The 4th International Conference on Advanced Research in Management, Business and Finance(ICMBF 2022)

March 2022

Examination of Validity of Smartphone Addiction by Biometric Sensing

Chiyako Hisanaga(Waseda University), Suzumi Sato(Waseda University), Megumi Saito(Waseda University), Shigeru Shimamoto(Waseda University), Nao Kobayash

2022 IEEE 4th Global Conference on Life Sciences and Technologies (LifeTech)

March 2022

Preliminary study on the correlation between gratitude activity and prosocial behaviour

Yukitoshi Kashimoto, Tomohiro Sakai, Atsunori Minamikawa

Persuasive Technology 2022 - BCSS2022

March 2022

Investigating the effects of consumer priming on tourism willingness and behavior by longitudinal online surveys and smartphone location information

Wenzhen Xu, Shinnosuke Date(Toyama Prefectural University), Masato Taya, Takeshi Iwamoto(Toyama Prefectural University), Atsunori Minamikawa, Chihiro Ono

Society for personality and social psychology 2022 annual convention

February 2022

Sensor Network System for Condition Detection of Harmful Animals by Step-by-step Interlocking of Various Sensors

Keigo Uchiyama(Ritsumeikan University), Hiroshi Yamamoto(Ritsumeikan University), Eiji Utsunomiya, Kiyohito Yoshihara

2022 International Conference on Artificial Intelligence in Information and Communication (ICAIIC)

February 2022

Prevalence and risk factors of internet gaming disorder and problematic internet use before and during the COVID-19 pandemic: A longitudinal online survey of Japanese adults

Taiki Oka(ATR) , Toshitaka Hamamura, Yuka Miyake(KDDI), Nao Kobayashi(KDDI), Masaru Honjo, Mitsuo Kawato(ATR), Takatomi Kubo(ATR), Toshinori Chiba(ATR)

The International Society of Addiction Medicine (ISAM) conference

December 2021

Influence of Land Use information over performance when predicting spatiotemporal electricity load demand

Guillaume Habault, Shinya Wada, Chihiro Ono

2021 IEEE International Conference on Big Data (Big Data)

December 2021

Explainable Knowledge Reasoning Framework Using Multiple Knowledge Graph Embedding

Mori Kurokawa

The 10th International Joint Conference on Knowledge Graphs (IJCKG 2021 )

December 2021

Understanding distributed recycling: Effects of consumer behaviors on environmental performance

Masakuni Tsunezawa, Kohei Sugiyama, Kazuyuki Tasaka, Shinichi Fukushige (Waseda University)

The 12th International Symposium on Environmentally Conscious Design and Inverse Manufacturing (EcoDesign 2021)

December 2021

A Study on Metrics for Concept Drift Detection Based on Predictions and Parameters of Ensemble Model

Kei Yonekawa, Shuichiro Haruta, Tatsuya Konishi, Kazuhiro Saito, Hideki Asoh, Mori Kurokawa

The 18th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services (MobiQuitous 2021)

November 2021

An Empirical Study on News Recommendation in Multiple Domain Settings

shuichiro haruta, Mori Kurokawa

The 18th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services (MobiQuitous 2021)

November 2021

Concept Drift Detection with Denoising Autoencoder in Incomplete Data

Kei Yonekawa, Jun Murao(Osaka University), Mori Kurokawa, Daichi Amagata(Osaka University), Takuya Maekawa(Osaka University), Takahiro Hara(Osaka University)

The 18th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services (MobiQuitous 2021)

November 2021

Is Adding More Modalities Better in a Multimodal Spatio-temporal Prediction Scenario? A Case Study on Japan Air Quality

Yutaro Mishima, Guillaume Habault, Shinya Wada

The 18th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services (MobiQuitous 2021)

November 2021

Event Detection and Event-Relevant Tweet Extraction with Human Mobility

Naoto Takeda, Daisuke Kamisaka, Roberto Legaspi, Yutaro Mishima, Atsunori Minamikawa

The 18th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services (MobiQuitous 2021)

November 2021

Face Mask Aware Robust Facial Expression Recognition During The Covid-19 Pandemic

Bo Yang, Wu Jianming, Gen Hattori

2021 IEEE International Conference on Image Processing (ICIP)

September 2021

Classical machine learning and deep neural network ensemble model for GPS-based activity recognition

Ryoichi Kojima, Roberto Legaspi, Yutaro Mishima, Shinya Wada

The 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp 2021), 9th International Workshop on Human Activity Sensing Corpus and its Application (HASCA2021)

September 2021

Positing A Sense of Agency-Aware Persuasive AI - Its Theoretical and Computational Frameworks

Roberto Legaspi, Wenzhen Xu, Tatsuya Konishi, Shinya Wada

The 16th international conference on Persuasive Technologies (PERSUASIVE 2021)

April 2021

Psychographic Matching between a Call Center Agent and a Customer

Akihiro Kobayashi, Yuichi Ishikawa, Roberto Sebastian Legaspi

29th Conference on User Modeling, Adaptation and Personalization (UMAP2021)

April 2021

Elucidating the extent by which population staying patterns help improve electricity load demand predictions

Guillaume Habault, Shinya Wada, Rui Kimura, Chihiro Ono

2020 IEEE International Conference on Big Data (Big Data 2020), Third International Workshop on the Internet of Things Data Analytics (IoTDA 2020)

December 2020

LDNN: Linguistic Knowledge Injectable Deep Neural Network for Group Cohesiveness Understanding

Yanan Wang, Jianming Wu, Jinfa Huang(Peking University), Gen Hattori, Yasuhiro Takishima, Shinya Wada, Rui Kimura, Jie Chen(Peking University), Satoshi Kurihara(Keio University)

The 22nd ACM International Conference on Multimodal Interaction (ICMI 2020)

October 2020

Implicit Knowledge Injectable Cross Attention Audiovisual Model for Group Emotion Recognition

Yanan Wang, Jianming Wu, Panikos Heracleous, Shinya Wada, Rui Kimura, Satoshi Kurihara(Keio University)

The 22nd ACM International Conference on Multimodal Interaction (ICMI 2020), Eighth Emotion Recognition in the Wild Challenge (EmotiW 2020)

October 2020

Multi-source Transfer Learning for Human Activity Recognition in Smart Homes

Hao Niu, Duc Nguyen, Kei Yonekawa, Mori Kurokawa, Shinya Wada, Kiyohito Yoshihara

The 6th IEEE International Conference on Smart Computing (SMARTCOMP 2020)

September 2020

On the Transferability of Deep Neural Networks for Recommender System

Duc Nguyen, Hao Niu, Kei Yonekawa, Mori Kurokawa, Chihiro Ono, Daichi Amagata(Osaka University), Takuya Maekawa(Osaka University), Takahiro Hara(Osaka University)

The 4th International Workshop on Interactive Adaptive Learning (IAL 2020)

September 2020

Integrating Language and Emotion Features for Multilingual Speech Emotion Recognition

Panikos Heracleous, Yasser Mohammad(NEC), Akio Yoneyama

The 22nd International Conference on Human-Computer Interaction (HCII 2020)

July 2020

Design and Evaluations of Multi-agent Simulation Model for Electric Power Sharing Among Households

Yasutaka Nishimura, Taichi Shimura, Kiyoshi Izumi, Kiyohito Yoshihara

International Workshop on Multi-Agent Systems and Agent-Based Simulation (MABS 2020)

May 2020

Preliminary Study on the Smartphone Zombie Phenomenon by Utilising a Monitoring Application

Yukitoshi Kashimoto, Jaakko Hyry, Pasi Karppinen(University of Oulu), Harri Oinas-Kukkonen(University of Oulu), Masato Taya, Chihiro Ono

The 8th International Workshop on Behavior Change Support Systems (BCSS 2020)

April 2020

Does Traffic Information Provided by Smartphones Increase Detour Behavior?

Wenzhen Xu, Yuichi Kuriki, Taiki Sato(EAST Nippon Expressway Company Limited), Masato Taya(KDDI), Chihiro Ono

The 15th International Conference on Persuasive Technologies (Persuasive 2020)

April 2020

Preliminary Study on the Smartphone Zombie Phenomenon by Utilising a Monitoring Application

Yukitoshi Kashimoto, Jaakko Hyry, Pasi Karppinen(University of Oulu), Harri Oinas-Kukkonen(University of Oulu), Masato Taya, Chihiro Ono

The 8th International Workshop on Behavior Change Support Systems (BCSS 2020)

April 2020

Mobile phone-based travel behavior is third influencer about land prices and city functions: A case study of TOKYO

Mizuki Miura(Tokyo Institute of Technology), Atsunori Minamikawa, Rui Kimura, Chihiro Ono

2020 International Conference on Technology and Entrepreneurship-Virtual (ICTE-V 2020)

April 2020

J-REIT investment strategy with mobile statistics

Takuya Kaneko, Rui Kimura, Yutaro Mishima

Quantitative Methods in Finance 2019 (QMF 2019)

December 2019

Detecting errors in short-term electricity demand forecast using people dynamics

Guillaume Habault, Yasutaka Nishimura, Kiyohito Yoshihara, Chihiro Ono

2019 IEEE International Conference on Big Data (Big Data), Second International Workshop on the Internet of Things Data Analytics (IoTDA 2019)

December 2019

Advertiser-Assisted Behavioral Ad-Targeting via Denoised Distribution Induction

Kei Yonekawa, Niu Hao, Mori Kurokawa, Arei Kobayashi, Daichi Amagata(Osaka University), Takuya Maekawa(Osaka University), Takahiro Hara(Osaka University)

2019 IEEE International Conference on Big Data (Big Data), The 4th International Workshop on Big Data Transfer Learning (BDTL 2019)

December 2019

Transferable representation learning for human activity recognition in smart homes

Hao Niu, Kei Yonekawa, Mori Kurokawa, Shinya Wada, Kiyohito Yoshihara

The 11th Asian Conference on Machine Learning (ACML) workshop on Machine Learning for Trajectory, Activity, and Behavior (ACML-TAB 2019)

November 2019

Identification of applications running on smartphones using call detail records

Michiki Hara(Aoyama Gakuin University), Kizito Nkurikiyeyezu(Aoyama Gakuin University), Yu Nakayama(The University of Tokyo), Hiroki Ishizuka, Yukitoshi Kashimoto, Lopez Guillaume(Aoyama Gakuin University), Yoshito Tobe(Aoyama Gakuin University)

The 3rd International Conference on Telecommunications and Communication Engineering (ICTCE 2019)

November 2019

Multi-attention fusion network for video-based emotion recognition

Yanan Wang, Jianming Wu, Keiichiro Hoashi

The 21th International Conference on Multimodal Interaction (ICMI 2019), Seventh Emotion Recognition in the Wild Challenge (EmotiW 2019)

October 2019

Deep convolutional neural networks for feature extraction in speech emotion recognition

Panikos Heracleous, Yasser Mohammad(AIST), Akio Yoneyama

The 21st International Conference on Human-Computer Interaction (HCI 2019)

July 2019

Anomaly detection of urban dynamics in an extreme weather with mobile GPS data

Yutaro Mishima, Atsunori Minamikawa

The main conference on the scientific analysis of mobile phone datasets(NetMob2019)

July 2019

Predicting a driver's personality from daily driving behavior

Yuichi Ishikawa, Akihiro Kobayashi, Atsunori Minamikawa, Chihiro Ono

The 10th International Symposium on Human Factors in Driver Assessment, Training and Vehicle Design

June 2019

A Heterogeneous Domain Adversarial Neural Network for Trans-Domain Behavioral Targeting

Kei Yonekawa, Hao Niu, Mori Kurokawa, Arei Kobayashi, Daichi Amagata(Osaka University), Takuya Maekawa(Osaka University), Takahiro Hara(Osaka University)

2019 Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), The 1st Pacific Asia Workshop on Deep Learning for Knowledge Transfer (DLKT)

April 2019

A Study on Effect of Big Five Personality Traits on Ad Targeting and Creative Design

Akihiro Kobayashi, Yuichi Ishikawa, Atsunori Minamikawa

2019 14th International Conference on Persuasive Technology

April 2019

Social Behaviors: A Social Topology and Interaction Pattern Affect the Properties of a Changed Behavior

Tatsuya Konishi, Masatoshi Nagata, Masaru Honjo, Akio Yoneyama, Masayuki Kurokawa(Aichi University of Education), Koji Mishima(Chubu University)

2019 14th International Conference on Persuasive Technology

April 2019

Empathic Dialogue System based on Emotions Extracted from Tweets

Shunichi Tahara, Kazushi Ikeda, Keiichiro Hoashi

2019 24th International Conference on Intelligent User Interfaces (IUI)

March 2019

Preliminary questionnaire-based study on using behaviour change to increase tourism to Toyama

Yukitoshi Kashimoto, Masahito Terashita, Hiroki Ishizuka, Masato Taya, Arei Kobayashi

2019 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)

March 2019

Virtual Touch-Point: Trans-Domain Behavioral Targeting via Transfer Learning

Mori Kurokawa, Hao Niu, Kei Yonekawa, Arei Kobayashi, Daichi Amagata(Osaka University), Takuya Maekawa(Osaka University), Takahiro Hara(Osaka University)

2018 IEEE International Conference on Big Data Workshop (Big Data), The 3rd International Workshop on Big Data Transfer Learning (BDTL 2018)

December 2018

Multi-Scale Convolutional Recurrent Neural Network with Ensemble Method for Weakly Labeled Sound Event Detection

Yingmei Guo(Tsinghua University), Mingxing Xu(Tsinghua University), Jianming Wu, Yanan Wang, Keiichiro Hoashi

2018 Detection and Classification of Acoustic Scenes and Events (DCASE) Workshop

November 2018

Comparative Study on Spoken Language Identification Based on Deep Learning

Panikos Heracleous, Kohichi Takai, Keiji Yasuda(NAIST), Yasser Mohammad(AIST), Akio Yoneyama

2018 26th European Signal Processing Conference (EUSIPCO)

September 2018

Mood-Aware Music Recommendation via Adaptive Song Embedding

Chaima Dhahri, Kazunori Matsumoto, Keiichiro Hoashi

2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)

August 2018

Utilizing Crowdsourced Asynchronous Chat for Efficient Collection of Dialogue Dataset

Kazushi Ikeda, Keiichiro Hoashi

The 6th AAAI Conference on Human Computation and Crowdsourcing (HCOMP 2018)

July 2018

Spoken Language Identification Based on I-vectors and Conditional Random Fields

Panikos Heracleous, Yasser Mohammad(AIST), Koichi Takai, Keiji Yasuda, Akio Yoneyama

The 14th International Wireless Communications and Mobile Computing Conference (IWCMC 2018)

June 2018

Binary Classification of Sequences Possessing Unilateral Common Factor with AMS and APR

Yujin Tang, Kei Yonekawa, Mori Kurokawa, Shinya Wada, Kiyohito Yoshihara

The 22nd Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2018)

June 2018

Implimentation of Mutual Concessions of Autonomous Cars with Deep Q-Network

Ichitaro Ogawa(Hokkaido University), Soichiro Yokoyama(Hokkaido University), Tomohisha Yamashita(Hokkaido University), Hidenori Kawamura(Hokkaido University), Akira Sakatoku, Tadashi Yanagihara, Tomohiko Ogishi and Hideaki Tanaka

The 16th ITS Asia-Pacific Forum FUKUOKA 2018

May 2018

Deep feature learning and selection for activity recognition

Yasser F. Mohammad, Kazunori Matsumoto, Keiichiro Hoashi

The 33rd Annual ACM Symposium on Applied Computing (SAC 2018)

April 2018

A Study on Far-field Emotion Recognition Based on Deep Convolutional Neural Networks

Panikos Heracleous, Yasser Mohammad(AIST), Koichi Takai, Keiji Yasuda, Akio Yoneyama, Fumiaki Sugaya (MINDWORD Inc.)

The 19th International Conference on Computational Linguistics and Intelligent Text Processing (CICLing 2018)

March 2018

I-vectors and Deep Convolutional Neural Networks for Language Identification in Clean and Reverberant Environments

Panikos Heracleous, Yasser Mohammad(AIST), Kohichi Takai, Keiji Yasuda, Akio Yoneyama

The 19th International Conference on Computational Linguistics and Intelligent Text Processing (CICLing 2018)

March 2018

Voice Input Tutoring System for Older Adults using Input Stumble Detection

Toshiyuki Hagiya, Keiichiro Hoashi, Tatsuya Kawahara(Kyoto University)

The 23rd annual meeting of the Intelligent User Interfaces Community(ACM IUI 2018)

March 2018

Predicting the Occurrence of Life Events from User’s Tweet History

Shun Abe(Osaka University), Masumi Shirakawa(Osaka University), Tatsuya Nakamura(Osaka University), Takahiro Hara(Osaka University), Kazushi Ikeda, Keiichiro Hoashi

IEEE International Conference on Semantic Computing (ICSC 2018)

February 2018