Kazushi Ikeda

ORCID

Publication Activity (10 Years)

Years Active: 1991-2024
Publications (10 Years): 101

Top Venues

Publications

Brian Godwin S. Lim, Renzo Roel P. Tan, Jun Kawahara, Shin-ichi Minato, Kazushi Ikeda
A Recursive Framework for Evaluating Moments Using Zero-Suppressed Binary Decision Diagrams. IEEE Access 12 (2024)
Kazuaki Furumai, Roberto Legaspi, Julio Vizcarra, Yudai Yamazaki, Yasutaka Nishimura, Sina J. Semnani, Kazushi Ikeda, Weiyan Shi, Monica S. Lam
Zero-shot Persuasive Chatbots with LLM-Generated Strategies and Information Retrieval. CoRR (2024)
Donghuo Zeng, Yanan Wang, Kazushi Ikeda, Yi Yu
Anchor-aware Deep Metric Learning for Audio-visual Retrieval. ICMR (2024)
Donghuo Zeng, Roberto Legaspi, Yuewen Sun, Xinshuai Dong, Kazushi Ikeda, Peter Spirtes, Kun Zhang
Counterfactual Reasoning Using Predicted Latent Personality Dimensions for Optimizing Persuasion Outcome. CoRR (2024)
Donghuo Zeng, Yanan Wang, Kazushi Ikeda, Yi Yu
Anchor-aware Deep Metric Learning for Audio-visual Retrieval. CoRR (2024)
Donghuo Zeng, Roberto Sebastian Legaspi, Yuewen Sun, Xinshuai Dong, Kazushi Ikeda, Peter Spirtes, Kun Zhang
Counterfactual Reasoning Using Predicted Latent Personality Dimensions for Optimizing Persuasion Outcome. PERSUASIVE (2024)
Ryunosuke Togawa, Roberto Legaspi, Yasutaka Nishimura, Akihiro Miyamamoto, Bo Yang, Eriko Sugisaki, Kazushi Ikeda, Nao Kobayashi, Yasushi Naruse
Estimating Sense of Agency from Behavioral Logs: Toward a Just-in-Time Adaptive Intervention System. PERSUASIVE (2024)
Renzo Roel Perez Tan, Aldrich Ellis Catapang Asuncion, Brian Godwin Sy Lim, Mate Soos, Kazushi Ikeda
The Pancake Graph of Order 10 Is 4-Colorable. ICoMS (2023)
Zhongluo Li, Junichiro Yoshimoto, Kazushi Ikeda
Temporal Attention for Robust Multiple Object Pose Tracking. ICONIP (4) (2023)
Yasutaka Nishimura, Naoto Takeda, Roberto Legaspi, Kazushi Ikeda, Thomas Plötz, Sonia Chernova
ALLFA: Active Learning Through Label and Feature Augmentation. ICMLA (2023)
Donghuo Zeng, Kazushi Ikeda
Two-Stage Triplet Loss Training with Curriculum Augmentation for Audio-Visual Retrieval. CoRR (2023)
Donghuo Zeng, Jianming Wu, Yanan Wang, Kazunori Matsumoto, Gen Hattori, Kazushi Ikeda
Topic-switch adapted Japanese Dialogue System based on PLATO-2. CoRR (2023)
Naoto Takeda, Roberto Legaspi, Yasutaka Nishimura, Kazushi Ikeda, Atsunori Minamikawa, Thomas Plötz, Sonia Chernova
Sensor Event Sequence Prediction for Proactive Smart Home Support Using Autoregressive Language Model. IE (2023)
Akihiro Kobayashi, Yuichi Ishikawa, Kazushi Ikeda, Daisuke Kamisaka, Roberto Legaspi
Composing Groups in Collaborative Learning by Pair Personality Differences. UMAP (2023)
Donghuo Zeng, Kazushi Ikeda
Triplet Loss with Curriculum Learning for Audio-Visual Retrieval. ISM (2023)
Bo Yang, Jianming Wu, Kazushi Ikeda, Gen Hattori, Masaru Sugano, Yusuke Iwasawa, Yutaka Matsuo
Deep Learning Pipeline for Spotting Macro- and Micro-expressions in Long Video Sequences Based on Action Units and Optical Flow. Pattern Recognit. Lett. 165 (2023)
Zihao Yu, Mark Christian Guinto, Brian Godwin S. Lim, Renzo Roel P. Tan, Junichiro Yoshimoto, Kazushi Ikeda, Yasumi Ohta, Jun Ohta
Engineering a data processing pipeline for an ultra-lightweight lensless fluorescence imaging device with neuronal-cluster resolution. Artif. Life Robotics 28 (3) (2023)
Abhinav Dhall, Monisha Singh, Roland Goecke, Tom Gedeon, Donghuo Zeng, Yanan Wang, Kazushi Ikeda
EmotiW 2023: Emotion Recognition in the Wild Challenge. ICMI (2023)
Riza Rae Pineda, Takatomi Kubo, Masaki Shimada, Kazushi Ikeda
Deep MAnTra: deep learning-based multi-animal tracking for Japanese macaques. Artif. Life Robotics 28 (1) (2023)
Monisha Singh, Ximi Hoque, Donghuo Zeng, Yanan Wang, Kazushi Ikeda, Abhinav Dhall
Do I Have Your Attention: A Large Scale Engagement Prediction Dataset and Baselines. ICMI (2023)
Monisha Singh, Ximi Hoque, Donghuo Zeng, Yanan Wang, Kazushi Ikeda, Abhinav Dhall
Do I Have Your Attention: A Large Scale Engagement Prediction Dataset and Baselines. CoRR (2023)
Kazuaki Furumai, Yanan Wang, Makoto Shinohara, Kazushi Ikeda, Yi Yu, Tsuneo Kato
Detecting Dialogue Hallucination Using Graph Neural Networks. ICMLA (2023)
Jeanne Barthélemy, Takatomi Kubo, Takeshi D. Itoh, Kiyoka Ikeda, Kazushi Ikeda
Learning to mimic programmers gaze behavior for program comprehension improvement. Artif. Life Robotics 28 (2) (2023)
Yasutaka Nishimura, Naoto Takeda, Roberto Legaspi, Kazushi Ikeda, Thomas Plötz, Sonia Chernova
Extraction of Important Temporal Order for eXplainable AI on Time-series data. PerCom Workshops (2023)
Chie Hieida, Tomoaki Yamamoto, Takatomi Kubo, Junichiro Yoshimoto, Kazushi Ikeda
Negative emotion recognition using multimodal physiological signals for advanced driver assistance systems. Artif. Life Robotics 28 (2) (2023)
Kazunori Ohno, Kotaro Sato, Ryunosuke Hamada, Takatomi Kubo, Kazushi Ikeda, Miho Nagasawa, Takefumi Kikusui, Sandeep Kumar Nayak, Shotaro Kojima, Satoshi Tadokoro
Electrocardiogram Measurement and Emotion Estimation of Working Dogs. IEEE Robotics Autom. Lett. 7 (2) (2022)
Mario E. Aburto-Gutierrez, Gamar Azuaje, Vipul Mishra, Shaira Osmani, Kazushi Ikeda
JaSenpai: Towards an Adaptive and Social Interactive E-Learning Platform for Japanese Language Learning. ICALT (2022)
Donghuo Zeng, Yanan Wang, Jianming Wu, Kazushi Ikeda
Complete Cross-triplet Loss in Label Space for Audio-visual Cross-modal Retrieval. ISM (2022)
Donghuo Zeng, Yanan Wang, Jianming Wu, Kazushi Ikeda
Complete Cross-triplet Loss in Label Space for Audio-visual Cross-modal Retrieval. CoRR (2022)
Bo Yang, Jianming Wu, Kazushi Ikeda, Gen Hattori, Masaru Sugano, Yusuke Iwasawa, Yutaka Matsuo
Face-mask-aware Facial Expression Recognition based on Face Parsing and Vision Transformer. Pattern Recognit. Lett. 164 (2022)
Takeshi D. Itoh, Takatomi Kubo, Kazushi Ikeda
Multi-level attention pooling for graph neural networks: Unifying graph representations with multiple localities. Neural Networks 145 (2022)
Daiki Kansaku, Nobuhiro Kawase, Naoki Fujiwara, Faizan Khan, Arockiyasamy Periyanayaga Kristy, Kuruvankatil Dharmajan Nisha, Toshitaka Yamakawa, Kazushi Ikeda, Yasuhiro Hayakawa, Kenji Murakami, Masaru Shimomura, Hiroya Ikeda
Output Power Characterization of Flexible Thermoelectric Power Generators. IEICE Trans. Electron. (10) (2022)
Takeshi D. Itoh, Takatomi Kubo, Kazushi Ikeda
Compositionality-Aware Graph2Seq Learning. CoRR (2022)
Riza Rae Pineda, Takatomi Kubo, Masaki Shimada, Kazushi Ikeda
Evaluation of the Effect of Transfer Learning to Multi-Instance Detection of Monkeys. APSIPA ASC (2021)
Panyawut Sri-Iesaranusorn, Felan Carlo C. Garcia, Francis Tiausas, Supatsara Wattanakriengkrai, Kazushi Ikeda, Junichiro Yoshimoto
Toward the Perfect Stroke: A Multimodal Approach for Table Tennis Stroke Evaluation. ICMU (2021)
Felan Carlo C. Garcia, Ayumi Hirao, Aran Tajika, Toshi A. Furukawa, Kazushi Ikeda, Junichiro Yoshimoto
Leveraging Longitudinal Lifelog Data Using Survival Models for Predicting Risk of Relapse among Patients with Depression in Remission. EMBC (2021)
Takeshi D. Itoh, Takatomi Kubo, Kazushi Ikeda
Multi-Level Attention Pooling for Graph Neural Networks: Unifying Graph Representations with Multiple Localities. CoRR (2021)
Asahi Tsuruo, Monamie Ringhofer, Shinya Yamamoto, Kazushi Ikeda
Mathematical Model of a Horse and the Rider during a Jump. APSIPA ASC (2021)
Clark Kendrick Go, Nishanth Koganti, Kazushi Ikeda
Solving the Shepherding Problem: Imitation Learning Can Acquire the Switching Algorithm. IJCNN (2021)
Jeric Briones, Takatomi Kubo, Kazushi Ikeda
Extraction of Hierarchical Behavior Patterns Using a Non-parametric Bayesian Approach. Frontiers Comput. Sci. 2 (2020)
Felan Carlo C. Garcia, Takatomi Kubo, Chao-Ling Chang, Masafumi Hisada, Takashi Bando, Midori Kato, Masataka Mori, Kazuhito Takenaka, Toshitaka Yamakawa, Koichi Fujiwara, Kazushi Ikeda
Evaluating Mental State of Drivers in Automated Driving Using Heart Rate Variability towards Feasible Request-to-Intervene. SMC (2020)
Asahi Tsuruo, Monamie Ringhofer, Shinya Yamamoto, Kazushi Ikeda
Mathematical Model of Horse and Rider Interaction during Horse Jumping. APSIPA (2020)
Bryan Lao, Tomoya Tamei, Kazushi Ikeda
Data-Efficient Framework for Personalized Physiotherapy Feedback. Frontiers Comput. Sci. 2 (2020)
Renzo Roel P. Tan, Kazushi Ikeda, John Paul C. Vergara
Hindsight-Combined and Hindsight-Prioritized Experience Replay. ICONIP (2) (2020)
Jaymar Soriano, Takatomi Kubo, Kazushi Ikeda
. EMBC (2020)
Panyawut Sri-Iesaranusorn, Saeka Shimochi, Naoki Ono, Emrah Yatkin, Hidehiro Iida, Kazushi Ikeda, Junichiro Yoshimoto
Quantification Analysis of Behavioral Changes after Sciatic Nerve Ligation in Rats. APSIPA (2020)
Matthew J. Holland, Kazushi Ikeda
Efficient learning with robust gradient descent. Mach. Learn. 108 (8-9) (2019)
Takeshi D. Itoh, Takatomi Kubo, Kiyoka Ikeda, Yuki Maruno, Yoshiharu Ikutani, Hideaki Hata, Kenichi Matsumoto, Kazushi Ikeda
Towards Generation of Visual Attention Map for Source Code. CoRR (2019)
Junichiro Yoshimoto, Jumpei Ozaki, Kohta Mizutani, Takashi Nakano, Kazushi Ikeda, Takayuki Yamashita
Statistical analysis on characteristic whisker movements observed in reward processing. APSIPA (2019)
Mikiko Konda, Takatomi Kubo, Naruki Morimura, Kazushi Ikeda
Interaction Analysis in Hunting Behavior of Finless Porpoises. APSIPA (2019)
Yasutaka Furusho, Tongliang Liu, Kazushi Ikeda
Skipping Two Layers in ResNet Makes the Generalization Gap Smaller than Skipping One or No Layer. INNSBDDL (2019)
Fan Yang, Jaymar Soriano, Takatomi Kubo, Kazushi Ikeda
A Hierarchical Mixture Density Network. CoRR (2019)
Takeshi D. Itoh, Takatomi Kubo, Kiyoka Ikeda, Yuki Maruno, Yoshiharu Ikutani, Hideaki Hata, Kenichi Matsumoto, Kazushi Ikeda
Towards Generation of Visual Attention Map for Source Code. APSIPA (2019)
Shunichi Tahara, Kazushi Ikeda, Keiichiro Hoashi
Empathic dialogue system based on emotions extracted from tweets. IUI (2019)
Shaoning Pang, Xuyun Zhang, Kazushi Ikeda, Deepak Puthal, Jianxin Li, Abdolhossein Sarrafzadeh
Editorial. Comput. Intell. 35 (3) (2019)
Qi Zhang, Hiroaki Sasaki, Kazushi Ikeda
Direct Log-Density Gradient Estimation with Gaussian Mixture Models and Its Application to Clustering. IEICE Trans. Inf. Syst. (6) (2019)
Nishanth Koganti, Tomohiro Shibata, Tomoya Tamei, Kazushi Ikeda
Data-efficient learning of robotic clothing assistance using Bayesian Gaussian process latent variable model. Adv. Robotics 33 (15-16) (2019)
Matthew J. Holland, Kazushi Ikeda
Better generalization with less data using robust gradient descent. ICML (2019)
Yasutaka Furusho, Kazushi Ikeda
Effects of Skip-Connection in ResNet and Batch-Normalization on Fisher Information Matrix. INNSBDDL (2019)
Bryan Lao, Tomoya Tamei, Kazushi Ikeda
Characterizing Strategic Contributions of Physical Therapy to Natural Standing Motion in the Muscle Synergy Space. EMBC (2019)
Yasutaka Furusho, Kazushi Ikeda
ResNet and Batch-normalization Improve Data Separability. ACML (2019)
Chaima Dhahri, Kazushi Ikeda, Keiichiro Hoashi
Forecasting Mood Using Smartphone and SNS Data. HotMobile (2019)
Shun Abe, Masumi Shirakawa, Tatsuya Nakamura, Takahiro Hara, Kazushi Ikeda, Keiichiro Hoashi
Predicting the Occurrence of Life Events from User's Tweet History. ICSC (2018)
Yutaro Koyama, Kazushi Ikeda, Yuichi Sakumura
Feature Selection Using Distance from Classification Boundary and Monte Carlo Simulation. ICONIP (4) (2018)
Kazushi Ikeda, Takatomi Kubo, Hiroaki Sasaki, Masataka Mori, Kentarou Hitomi, Kazuhito Takenaka, Kenji Muto
Anomaly Detection of Roads from Driving Data Using a Statistical Discrepancy Measure. ITSC (2018)
M. Rosyidi, Ratih H. Puspita, Shigeru Kashihara, Doudou Fall, Kazushi Ikeda
A Design of IoT-Based Searching System for Displaying Victim's Presence Area. COMPSAC (2) (2018)
Lei Zhu, Kazushi Ikeda, Shaoning Pang, Tao Ban, Abdolhossein Sarrafzadeh
Merging weighted SVMs for parallel incremental learning. Neural Networks 100 (2018)
Kazushi Ikeda, Arata Honda, Hiroaki Hanzawa, Seiji Miyoshi
Non-monotonic convergence of online learning algorithms for perceptrons with noisy teacher. Neural Networks 102 (2018)
Kazushi Ikeda, Minho Lee
Preface. Neural Process. Lett. 47 (3) (2018)
Kazushi Ikeda, Keiichiro Hoashi
Utilizing Crowdsourced Asynchronous Chat for Efficient Collection of Dialogue Dataset. HCOMP (2018)
Shaoning Pang, Lei Zhu, Tao Ban, Kazushi Ikeda, Wangfei Zhang, Abdolhossein Sarrafzadeh, Takeshi Takahashi, Daisuke Inoue
Online Max-flow Learning via Augmenting and De-augmenting Path. IJCNN (2018)
Fan Yang, Jaymar Soriano, Takatomi Kubo, Kazushi Ikeda
Application of SsVGMM to medical data - classification with novelty detection. EMBC (2017)
Shuntaro Yada, Kazushi Ikeda, Keiichiro Hoashi, Kyo Kageura
A Bootstrap Method for Automatic Rule Acquisition on Emotion Cause Extraction. ICDM Workshops (2017)
Jaymar Soriano, Takatomi Kubo, Takao Inoue, Hiroyuki Kida, Toshitaka Yamakawa, Michiyasu Suzuki, Kazushi Ikeda
Differential temperature sensitivity of synaptic and firing processes in a neural mass model of epileptic discharges explains heterogeneous response of experimental epilepsy to focal brain cooling. PLoS Comput. Biol. 13 (10) (2017)
Shinta Koyano, Kazushi Ikeda
Online portfolio selection based on the posts of winners and losers in stock microblogs. SSCI (2017)
Matthew J. Holland, Kazushi Ikeda
Robust regression using biased objectives. Mach. Learn. 106 (9-10) (2017)
Nishanth Koganti, Tomoya Tamei, Kazushi Ikeda, Tomohiro Shibata
Bayesian Nonparametric Learning of Cloth Models for Real-Time State Estimation. IEEE Trans. Robotics 33 (4) (2017)
Ryunosuke Hamada, Kazunori Ohno, Satoko Matsubara, Tatsuya Hoshi, Miho Nagasawa, Takefumi Kikusui, Takatomi Kubo, Eri Nakahara, Kazushi Ikeda, Shumpei Yamaguchi, Toshitaka Yamakawa, Satoshi Tadokoro
Real-time emotional state estimation system for Canines based on heart rate variability. CBS (2017)
Fan Yang, Jaymar Soriano, Takatomi Kubo, Kazushi Ikeda
A Hierarchical Mixture Density Network. ICONIP (4) (2017)
Kazushi Ikeda, Keiichiro Hoashi
Crowdsourcing GO: Effect of Worker Situation on Mobile Crowdsourcing Performance. CHI (2017)
Yasutaka Furusho, Takatomi Kubo, Kazushi Ikeda
Roles of pre-training in deep neural networks from information theoretical perspective. Neurocomputing 248 (2017)
Tomohito Suzaki, Takatomi Kubo, Toshihiro Hiraoka, Yuto Nakagawa, Tetsuya Terada, Toru Yoshioka, Kazushi Ikeda
Steering behavior model of drivers on driving simulator through visual information. APSIPA (2016)
Eri Nakahara, Yuki Maruno, Takatomi Kubo, Rina Ouchi, Maki Katayama, Koichi Fujiwara, Miho Nagasawa, Takefumi Kikusui, Kazushi Ikeda
Canine emotional states assessment with heart rate variability. APSIPA (2016)
Bryan Lao, Tomoya Tamei, Kazushi Ikeda
Analysis of effective sit-to-stand therapy using kinematic synergies. EMBC (2016)
Takuya Konishi, Takuya Ohwa, Sumio Fujita, Kazushi Ikeda, Kohei Hayashi
Extracting Search Query Patterns via the Pairwise Coupled Topic Model. WSDM (2016)
Ryunosuke Hamada, Takatomi Kubo, Kazushi Ikeda, Zujie Zhang, Tomohiro Shibata, Takashi Bando, Kentarou Hitomi, Masumi Egawa
Modeling and Prediction of Driving Behaviors Using a Nonparametric Bayesian Method With AR Models. IEEE Trans. Intell. Veh. 1 (2) (2016)
Kazushi Ikeda, Michael S. Bernstein
Pay It Backward: Per-Task Payments on Crowdsourcing Platforms Reduce Productivity. CHI (2016)
Lei Zhu, Tao Ban, Kazushi Ikeda, Paul Pang, Abdolhossein Sarrafzadeh
Distributed incremental wLPSVM learning. SSCI (2016)
Clark Kendrick Go, Bryan Lao, Junichiro Yoshimoto, Kazushi Ikeda
A reinforcement learning approach to the shepherding task using SARSA. IJCNN (2016)
Matthew J. Holland, Kazushi Ikeda
Minimum Proper Loss Estimators for Parametric Models. IEEE Trans. Signal Process. 64 (3) (2016)
Lei Zhu, Kazushi Ikeda, Paul Pang, Ruibin Zhang, Abdolhossein Sarrafzadeh
A Brief Review of Spin-Glass Applications in Unsupervised and Semi-supervised Learning. ICONIP (1) (2016)
Takamitsu Araki, Kazushi Ikeda, Shotaro Akaho
An efficient sampling algorithm with adaptations for Bayesian variable selection. Neural Networks 61 (2015)
Jimson Ngeo, Tomoya Tamei, Kazushi Ikeda, Tomohiro Shibata
Modeling dynamic high-DOF finger postures from surface EMG using nonlinear synergies in latent space representation. EMBC (2015)
Matthew J. Holland, Kazushi Ikeda
Location robust estimation of predictive Weibull parameters in short-term wind speed forecasting. ICASSP (2015)
Satoshi Kozawa, Yuichi Sakumura, Michinori Toriyama, Naoyuki Inagaki, Kazushi Ikeda
Bayesian Cell Force Estimation Considering Force Directions. Neural Process. Lett. 41 (2) (2015)
Tomoya Tamei, Yasuyuki Orito, Tomohiro Shibata, Kazushi Ikeda
In-home measurement system of user's motion and center of pressure. APSIPA (2015)
Atsushi Miyamoto, Kazuho Watanabe, Kazushi Ikeda, Masa-aki Sato
Variational Inference With ARD Prior for NIRS Diffuse Optical Tomography. IEEE Trans. Neural Networks Learn. Syst. 26 (5) (2015)
Yasutaka Furusho, Takatomi Kubo, Kazushi Ikeda
Information Theoretical Analysis of Deep Learning Representations. ICONIP (1) (2015)
Takuya Konishi, Takatomi Kubo, Kazuho Watanabe, Kazushi Ikeda
Variational Bayesian Inference Algorithms for Infinite Relational Model of Network Data. IEEE Trans. Neural Networks Learn. Syst. 26 (9) (2015)
Maike Erdmann, Tomoya Takeyoshi, Kazushi Ikeda, Gen Hattori, Chihiro Ono, Yasuhiro Takishima
Assigning Keywords to Automatically Extracted Personal Cliques from Social Networks. J. Inf. Process. 23 (3) (2015)

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Publication Activity (10 Years)

Top Topics

Top Venues

Kazushi Ikeda