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2020 – today
- 2024
[j63]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: 91886-91895 (2024)- [j62]Naoto Takeda, Roberto Legaspi, Yasutaka Nishimura, Kazushi Ikeda, Atsunori Minamikawa, Thomas Plötz, Sonia Chernova:
Sensor event sequence prediction for proactive smart home: A GPT2-based autoregressive language model approach. J. Ambient Intell. Smart Environ. 16(3): 275-308 (2024) - [c110]Donghuo Zeng, Yanan Wang, Kazushi Ikeda, Yi Yu:
Anchor-aware Deep Metric Learning for Audio-visual Retrieval. ICMR 2024: 211-219 - [c109]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: 273-286 - [c108]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: 287-300 - [i11]Donghuo Zeng, Yanan Wang, Kazushi Ikeda, Yi Yu:
Anchor-aware Deep Metric Learning for Audio-visual Retrieval. CoRR abs/2404.13789 (2024) - [i10]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 abs/2404.13792 (2024) - [i9]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 abs/2407.03585 (2024) - 2023
- [j61]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): 127-138 (2023) - [j60]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): 295-306 (2023) - [j59]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): 388-393 (2023) - [j58]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): 483-495 (2023) - [j57]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: 63-74 (2023) - [c107]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: 174-182 - [c106]Abhinav Dhall, Monisha Singh, Roland Goecke, Tom Gedeon, Donghuo Zeng, Yanan Wang, Kazushi Ikeda:
EmotiW 2023: Emotion Recognition in the Wild Challenge. ICMI 2023: 746-749 - [c105]Yasutaka Nishimura, Naoto Takeda, Roberto Legaspi, Kazushi Ikeda, Thomas Plötz, Sonia Chernova:
ALLFA: Active Learning Through Label and Feature Augmentation. ICMLA 2023: 158-165 - [c104]Kazuaki Furumai, Yanan Wang, Makoto Shinohara, Kazushi Ikeda, Yi Yu, Tsuneo Kato:
Detecting Dialogue Hallucination Using Graph Neural Networks. ICMLA 2023: 871-877 - [c103]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: 1-6 - [c102]Zhongluo Li, Junichiro Yoshimoto, Kazushi Ikeda:
Temporal Attention for Robust Multiple Object Pose Tracking. ICONIP (4) 2023: 551-561 - [c101]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: 1-8 - [c100]Donghuo Zeng, Kazushi Ikeda:
Triplet Loss with Curriculum Learning for Audio-Visual Retrieval. ISM 2023: 206-207 - [c99]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: 659-664 - [c98]Akihiro Kobayashi, Yuichi Ishikawa, Kazushi Ikeda, Daisuke Kamisaka, Roberto Legaspi:
Composing Groups in Collaborative Learning by Pair Personality Differences. UMAP 2023: 116-123 - [i8]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 abs/2302.00431 (2023) - [i7]Donghuo Zeng, Jianming Wu, Yanan Wang, Kazunori Matsumoto, Gen Hattori, Kazushi Ikeda:
Topic-switch adapted Japanese Dialogue System based on PLATO-2. CoRR abs/2302.11280 (2023) - [i6]Donghuo Zeng, Kazushi Ikeda:
Two-Stage Triplet Loss Training with Curriculum Augmentation for Audio-Visual Retrieval. CoRR abs/2310.13451 (2023) - 2022
- [j56]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. 105-C(10): 639-642 (2022) - [j55]Takeshi D. Itoh, Takatomi Kubo, Kazushi Ikeda:
Multi-level attention pooling for graph neural networks: Unifying graph representations with multiple localities. Neural Networks 145: 356-373 (2022) - [j54]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: 173-182 (2022) - [j53]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): 4047-4054 (2022) - [c97]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: 236-238 - [c96]Donghuo Zeng, Yanan Wang, Jianming Wu, Kazushi Ikeda:
Complete Cross-triplet Loss in Label Space for Audio-visual Cross-modal Retrieval. ISM 2022: 1-9 - [i5]Takeshi D. Itoh, Takatomi Kubo, Kazushi Ikeda:
Compositionality-Aware Graph2Seq Learning. CoRR abs/2201.12178 (2022) - [i4]Donghuo Zeng, Yanan Wang, Jianming Wu, Kazushi Ikeda:
Complete Cross-triplet Loss in Label Space for Audio-visual Cross-modal Retrieval. CoRR abs/2211.03434 (2022) - 2021
- [c95]Asahi Tsuruo, Monamie Ringhofer, Shinya Yamamoto, Kazushi Ikeda:
Mathematical Model of a Horse and the Rider during a Jump. APSIPA ASC 2021: 1353-1356 - [c94]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: 1357-1362 - [c93]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: 2455-2458 - [c92]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: 1-5 - [c91]Clark Kendrick Go, Nishanth Koganti, Kazushi Ikeda:
Solving the Shepherding Problem: Imitation Learning Can Acquire the Switching Algorithm. IJCNN 2021: 1-7 - [i3]Takeshi D. Itoh, Takatomi Kubo, Kazushi Ikeda:
Multi-Level Attention Pooling for Graph Neural Networks: Unifying Graph Representations with Multiple Localities. CoRR abs/2103.01488 (2021) - 2020
- [j52]Bryan Lao, Tomoya Tamei, Kazushi Ikeda:
Data-Efficient Framework for Personalized Physiotherapy Feedback. Frontiers Comput. Sci. 2: 3 (2020) - [j51]Jeric Briones, Takatomi Kubo, Kazushi Ikeda:
Extraction of Hierarchical Behavior Patterns Using a Non-parametric Bayesian Approach. Frontiers Comput. Sci. 2: 546917 (2020) - [c90]Asahi Tsuruo, Monamie Ringhofer, Shinya Yamamoto, Kazushi Ikeda:
Mathematical Model of Horse and Rider Interaction during Horse Jumping. APSIPA 2020: 939-943 - [c89]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: 952-957 - [c88]Jaymar Soriano, Takatomi Kubo, Kazushi Ikeda:
Feasibility of focal brain cooling for partial epilepsy with secondary generalization: A computational study*. EMBC 2020: 2532-2535 - [c87]Renzo Roel P. Tan, Kazushi Ikeda, John Paul C. Vergara:
Hindsight-Combined and Hindsight-Prioritized Experience Replay. ICONIP (2) 2020: 429-439 - [c86]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: 3454-3459
2010 – 2019
- 2019
- [j50]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): 800-814 (2019) - [j49]Shaoning Pang, Xuyun Zhang, Kazushi Ikeda, Deepak Puthal, Jianxin Li, Abdolhossein Sarrafzadeh:
Editorial. Comput. Intell. 35(3): 474-475 (2019) - [j48]Qi Zhang, Hiroaki Sasaki, Kazushi Ikeda:
Direct Log-Density Gradient Estimation with Gaussian Mixture Models and Its Application to Clustering. IEICE Trans. Inf. Syst. 102-D(6): 1154-1162 (2019) - [j47]Matthew J. Holland, Kazushi Ikeda:
Efficient learning with robust gradient descent. Mach. Learn. 108(8-9): 1523-1560 (2019) - [c85]Yasutaka Furusho, Kazushi Ikeda:
ResNet and Batch-normalization Improve Data Separability. ACML 2019: 94-108 - [c84]Junichiro Yoshimoto, Jumpei Ozaki, Kohta Mizutani, Takashi Nakano, Kazushi Ikeda, Takayuki Yamashita:
Statistical analysis on characteristic whisker movements observed in reward processing. APSIPA 2019: 723-726 - [c83]Mikiko Konda, Takatomi Kubo, Naruki Morimura, Kazushi Ikeda:
Interaction Analysis in Hunting Behavior of Finless Porpoises. APSIPA 2019: 727-730 - [c82]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: 951-954 - [c81]Bryan Lao, Tomoya Tamei, Kazushi Ikeda:
Characterizing Strategic Contributions of Physical Therapy to Natural Standing Motion in the Muscle Synergy Space. EMBC 2019: 2311-2315 - [c80]Matthew J. Holland, Kazushi Ikeda:
Better generalization with less data using robust gradient descent. ICML 2019: 2761-2770 - [c79]Yasutaka Furusho, Kazushi Ikeda:
Effects of Skip-Connection in ResNet and Batch-Normalization on Fisher Information Matrix. INNSBDDL 2019: 341-348 - [c78]Yasutaka Furusho, Tongliang Liu, Kazushi Ikeda:
Skipping Two Layers in ResNet Makes the Generalization Gap Smaller than Skipping One or No Layer. INNSBDDL 2019: 349-358 - [c77]Shunichi Tahara, Kazushi Ikeda, Keiichiro Hoashi:
Empathic dialogue system based on emotions extracted from tweets. IUI 2019: 52-56 - [c76]Chaima Dhahri, Kazushi Ikeda, Keiichiro Hoashi:
Forecasting Mood Using Smartphone and SNS Data. HotMobile 2019: 175 - [p1]Kazunori Ohno, Ryunosuke Hamada, Tatsuya Hoshi, Hiroyuki Nishinoma, Shumpei Yamaguchi, Solvi Arnold, Kimitoshi Yamazaki, Takefumi Kikusui, Satoko Matsubara, Miho Nagasawa, Takatomi Kubo, Eri Nakahara, Yuki Maruno, Kazushi Ikeda, Toshitaka Yamakawa, Takeshi Tokuyama, Ayumi Shinohara, Ryo Yoshinaka, Diptarama Hendrian, Kaizaburo Chubachi, Satoshi Kobayashi, Katsuhito Nakashima, Hiroaki Naganuma, Ryu Wakimoto, Shu Ishikawa, Tatsuki Miura, Satoshi Tadokoro:
Cyber-Enhanced Rescue Canine. Disaster Robotics 2019: 143-193 - [i2]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 abs/1907.06182 (2019) - [i1]Fan Yang, Jaymar Soriano, Takatomi Kubo, Kazushi Ikeda:
A Hierarchical Mixture Density Network. CoRR abs/1910.13523 (2019) - 2018
- [j46]Lei Zhu, Kazushi Ikeda, Shaoning Pang, Tao Ban, Abdolhossein Sarrafzadeh:
Merging weighted SVMs for parallel incremental learning. Neural Networks 100: 25-38 (2018) - [j45]Kazushi Ikeda, Arata Honda, Hiroaki Hanzawa, Seiji Miyoshi:
Non-monotonic convergence of online learning algorithms for perceptrons with noisy teacher. Neural Networks 102: 21-26 (2018) - [j44]Kazushi Ikeda, Minho Lee:
Preface. Neural Process. Lett. 47(3): 765 (2018) - [c75]Mohammad 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: 8-13 - [c74]Kazushi Ikeda, Keiichiro Hoashi:
Utilizing Crowdsourced Asynchronous Chat for Efficient Collection of Dialogue Dataset. HCOMP 2018: 60-69 - [c73]Yutaro Koyama, Kazushi Ikeda, Yuichi Sakumura:
Feature Selection Using Distance from Classification Boundary and Monte Carlo Simulation. ICONIP (4) 2018: 96-105 - [c72]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: 1-8 - [c71]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: 2064-2067 - [c70]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: 219-226 - 2017
- [j43]Yasutaka Furusho, Takatomi Kubo, Kazushi Ikeda:
Roles of pre-training in deep neural networks from information theoretical perspective. Neurocomputing 248: 76-79 (2017) - [j42]Matthew J. Holland, Kazushi Ikeda:
Robust regression using biased objectives. Mach. Learn. 106(9-10): 1643-1679 (2017) - [j41]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) - [j40]Nishanth Koganti, Tomoya Tamei, Kazushi Ikeda, Tomohiro Shibata:
Bayesian Nonparametric Learning of Cloth Models for Real-Time State Estimation. IEEE Trans. Robotics 33(4): 916-931 (2017) - [c69]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: 298-303 - [c68]Kazushi Ikeda, Keiichiro Hoashi:
Crowdsourcing GO: Effect of Worker Situation on Mobile Crowdsourcing Performance. CHI 2017: 1142-1153 - [c67]Fan Yang, Jaymar Soriano, Takatomi Kubo, Kazushi Ikeda:
Application of SsVGMM to medical data - classification with novelty detection. EMBC 2017: 3098-3101 - [c66]Shuntaro Yada, Kazushi Ikeda, Keiichiro Hoashi, Kyo Kageura:
A Bootstrap Method for Automatic Rule Acquisition on Emotion Cause Extraction. ICDM Workshops 2017: 414-421 - [c65]Fan Yang, Jaymar Soriano, Takatomi Kubo, Kazushi Ikeda:
A Hierarchical Mixture Density Network. ICONIP (4) 2017: 878-885 - [c64]Shinta Koyano, Kazushi Ikeda:
Online portfolio selection based on the posts of winners and losers in stock microblogs. SSCI 2017: 1-4 - 2016
- [j39]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): 131-138 (2016) - [j38]Matthew J. Holland, Kazushi Ikeda:
Minimum Proper Loss Estimators for Parametric Models. IEEE Trans. Signal Process. 64(3): 704-713 (2016) - [c63]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: 1-3 - [c62]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: 1-4 - [c61]Kazushi Ikeda, Michael S. Bernstein:
Pay It Backward: Per-Task Payments on Crowdsourcing Platforms Reduce Productivity. CHI 2016: 4111-4121 - [c60]Bryan Lao, Tomoya Tamei, Kazushi Ikeda:
Analysis of effective sit-to-stand therapy using kinematic synergies. EMBC 2016: 6282-6285 - [c59]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: 579-586 - [c58]Clark Kendrick Go, Bryan Lao, Junichiro Yoshimoto, Kazushi Ikeda:
A reinforcement learning approach to the shepherding task using SARSA. IJCNN 2016: 3833-3836 - [c57]Lei Zhu, Tao Ban, Kazushi Ikeda, Paul Pang, Abdolhossein Sarrafzadeh:
Distributed incremental wLPSVM learning. SSCI 2016: 1-8 - [c56]Takuya Konishi, Takuya Ohwa, Sumio Fujita, Kazushi Ikeda, Kohei Hayashi:
Extracting Search Query Patterns via the Pairwise Coupled Topic Model. WSDM 2016: 655-664 - [e4]Akira Hirose, Seiichi Ozawa, Kenji Doya, Kazushi Ikeda, Minho Lee, Derong Liu:
Neural Information Processing - 23rd International Conference, ICONIP 2016, Kyoto, Japan, October 16-21, 2016, Proceedings, Part I. Lecture Notes in Computer Science 9947, 2016, ISBN 978-3-319-46686-6 [contents] - [e3]Akira Hirose, Seiichi Ozawa, Kenji Doya, Kazushi Ikeda, Minho Lee, Derong Liu:
Neural Information Processing - 23rd International Conference, ICONIP 2016, Kyoto, Japan, October 16-21, 2016, Proceedings, Part II. Lecture Notes in Computer Science 9948, 2016, ISBN 978-3-319-46671-2 [contents] - [e2]Akira Hirose, Seiichi Ozawa, Kenji Doya, Kazushi Ikeda, Minho Lee, Derong Liu:
Neural Information Processing - 23rd International Conference, ICONIP 2016, Kyoto, Japan, October 16-21, 2016, Proceedings, Part III. Lecture Notes in Computer Science 9949, 2016, ISBN 978-3-319-46674-3 [contents] - [e1]Akira Hirose, Seiichi Ozawa, Kenji Doya, Kazushi Ikeda, Minho Lee, Derong Liu:
Neural Information Processing - 23rd International Conference, ICONIP 2016, Kyoto, Japan, October 16-21, 2016, Proceedings, Part IV. Lecture Notes in Computer Science 9950, 2016, ISBN 978-3-319-46680-4 [contents] - 2015
- [j37]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): 327-334 (2015) - [j36]Takamitsu Araki, Kazushi Ikeda, Shotaro Akaho:
An efficient sampling algorithm with adaptations for Bayesian variable selection. Neural Networks 61: 22-31 (2015) - [j35]Satoshi Kozawa, Yuichi Sakumura, Michinori Toriyama, Naoyuki Inagaki, Kazushi Ikeda:
Bayesian Cell Force Estimation Considering Force Directions. Neural Process. Lett. 41(2): 191-200 (2015) - [j34]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): 1109-1114 (2015) - [j33]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): 2176-2181 (2015) - [c55]Tomoya Tamei, Yasuyuki Orito, Tomohiro Shibata, Kazushi Ikeda:
In-home measurement system of user's motion and center of pressure. APSIPA 2015: 927-929 - [c54]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: 2095-2098 - [c53]Matthew J. Holland, Kazushi Ikeda:
Location robust estimation of predictive Weibull parameters in short-term wind speed forecasting. ICASSP 2015: 3996-4000 - [c52]Yasutaka Furusho, Takatomi Kubo, Kazushi Ikeda:
Information Theoretical Analysis of Deep Learning Representations. ICONIP (1) 2015: 599-605 - [c51]Nishanth Koganti, Jimson Gelbolingo Ngeo, Tomoya Tamei, Kazushi Ikeda, Tomohiro Shibata:
Cloth dynamics modeling in latent spaces and its application to robotic clothing assistance. IROS 2015: 3464-3469 - 2014
- [j32]Takatomi Kubo, Masaki Yoshida, Takumu Hattori, Kazushi Ikeda:
Towards excluding redundancy in electrode grid for automatic speech recognition based on surface EMG. Neurocomputing 134: 15-19 (2014) - [c50]Matthew J. Holland, Kazushi Ikeda:
Forecasting in wind energy applications with site-adaptive Weibull estimation. ICASSP 2014: 2184-2188 - [c49]Takatomi Kubo, Ryunosuke Hamada, Zujie Zhang, Kazushi Ikeda, Takashi Bando, Kentarou Hitomi, Masumi Egawa:
Prediction of driving behaviors in intersections based on a supervised dimension reduction considering locality. ITSC 2014: 1487-1489 - [c48]Ryunosuke Hamada, Takatomi Kubo, Kentaro Katahira, Kenta Suzuki, Kazuo Okanoya, Kazushi Ikeda:
Birdsong analysis using beta process hidden Markov model. MLSP 2014: 1-5 - [c47]Maike Erdmann, Kazushi Ikeda, Hiromi Ishizaki, Gen Hattori, Yasuhiro Takishima:
Feature Based Sentiment Analysis of Tweets in Multiple Languages. WISE (2) 2014: 109-124 - 2013
- [j31]Kazushi Ikeda, Gen Hattori, Chihiro Ono, Hideki Asoh, Teruo Higashino:
Twitter user profiling based on text and community mining for market analysis. Knowl. Based Syst. 51: 35-47 (2013) - [j30]Takamitsu Araki, Kazushi Ikeda:
Adaptive Markov chain Monte Carlo for auxiliary variable method and its application to parallel tempering. Neural Networks 43: 33-40 (2013) - [c46]Kazushi Ikeda, Gen Hattori, Chihiro Ono, Hideki Asoh, Teruo Higashino:
Early Detection Method of Service Quality Reduction Based on Linguistic and Time Series Analysis of Twitter. AINA Workshops 2013: 825-830 - [c45]Ryunosuke Hamada, Takatomi Kubo, Kazushi Ikeda, Zujie Zhang, Takashi Bando, Masumi Egawa:
A comparative study of time series modeling for driving behavior towards prediction. APSIPA 2013: 1-4 - [c44]Jehan Jung, Yuka Matsuba, Rammohan Mallipeddi, Hiroyuki Funaya, Kazushi Ikeda, Minho Lee:
Evolutionary programming based recommendation system for online shopping. APSIPA 2013: 1-4 - [c43]Naoko Koide, Takatomi Kubo, Tomohiro Shibata, Kazushi Ikeda:
Visual fixation patterns of artists and novices in abstract painting observations. APSIPA 2013: 1-4 - [c42]Yuji Yoshida, Kei Majima, Tatsuya Yamada, Yuki Maruno, Yuichi Sakumura, Kazushi Ikeda:
Experimental comparison of classification methods for key kinase identification for neurite elongation. EMBC 2013: 3519-3522 - [c41]Takatomi Kubo, Masaki Yoshida, Takumu Hattori, Kazushi Ikeda:
Shift invariant feature extraction for sEMG-based speech recognition with electrode grid. EMBC 2013: 5797-5800 - [c40]Ryunosuke Hamada, Takatomi Kubo, Kazushi Ikeda, Zujie Zhang, Tomohiro Shibata, Takashi Bando, Masumi Egawa:
Applying Bayesian nonparametrics to non-homogeneous driving operation data towards prediction. EUSIPCO 2013: 1-5 - [c39]Ryunosuke Hamada, Takatomi Kubo, Kazushi Ikeda, Zujie Zhang, Tomohiro Shibata, Takashi Bando, Masumi Egawa:
Towards prediction of driving behavior via basic pattern discovery with BP-AR-HMM. ICASSP 2013: 2805-2809 - [c38]Kazushi Ikeda, Akira Hontani:
Probability of Perfect Reconstruction of Pareto Set in Multi-Objective Optimization. ICONIP (2) 2013: 13-18 - [c37]Maike Erdmann, Erik Ward, Kazushi Ikeda, Gen Hattori, Chihiro Ono, Yasuhiro Takishima:
Automatic Labeling of Training Data for Collecting Tweets for Ambiguous TV Program Titles. SocialCom 2013: 796-802 - 2012
- [j29]Satoshi Kozawa, Takashi Takenouchi, Kazushi Ikeda:
Subsurface imaging for anti-personal mine detection by Bayesian super-resolution with a smooth-gap prior. Artif. Life Robotics 16(4): 478-481 (2012) - [j28]Hiroyuki Funaya, Kazushi Ikeda:
Statistical properties of support vector machines with forgetting factor. Neural Networks 27: 45-50 (2012) - [c36]Atsushi Miyamoto, Kazuho Watanabe, Kazushi Ikeda:
Packet loss rate estimation with active and passive measurements. APSIPA 2012: 1-4 - [c35]Satoshi Kozawa, Yuichi Sakumura, Michinori Toriyama, Naoyuki Inagaki, Kazushi Ikeda:
An Estimation of Cell Forces with Hierarchical Bayes Approach Considering Cell Morphology. ICONIP (1) 2012: 501-508 - [c34]Hiroyuki Funaya, Kazushi Ikeda:
A statistical analysis of soft-margin support vector machines for non-separable problems. IJCNN 2012: 1-7 - [c33]Kazushi Ikeda, Hiroaki Hanzawa, Seiji Miyoshi:
Convergence Properties of Perceptron Learning with Noisy Teacher. IScIDE 2012: 417-424 - 2011
- [j27]Kazushi Ikeda, Thilmee M. Baduge, Takaaki Umedu, Hirozumi Yamaguchi, Teruo Higashino:
ALMware: A middleware for application layer multicast protocols. Comput. Commun. 34(14): 1673-1684 (2011) - [j26]Kohei Hayashi, Takashi Takenouchi, Tomohiro Shibata, Yuki Kamiya, Daishi Kato, Kazuo Kunieda, Keiji Yamada, Kazushi Ikeda:
Exponential family tensor factorization: an online extension and applications. Knowl. Inf. Syst. 33(1): 57-88 (2011) - [j25]Kazuho Watanabe, Masato Okada, Kazushi Ikeda:
Divergence measures and a general framework for local variational approximation. Neural Networks 24(10): 1102-1109 (2011) - [j24]Marco Baglietto, Lubica Benusková, Ivo Bukovsky, Tianping Chen, Tom Heskes, Kazushi Ikeda, Fakhri Karray, Rhee Man Kil, Robert Legenstein, Jinhu Lu, Yunqian Ma, Malik Magdon-Ismail, Michael G. Paulin, Robi Polikar, Danil V. Prokhorov, Marco A. Wiering, Vicente Zarzoso:
Editorial: One Year as EiC, and Editorial-Board Changes at TNN. IEEE Trans. Neural Networks 22(1): 1-7 (2011) - [c32]Yuki Maruno, Kenta Cho, Yuzo Okamoto, Hisao Setoguchi, Kazushi Ikeda:
An Online Human Activity Recognizer for Mobile Phones with Accelerometer. ICONIP (2) 2011: 358-365 - [c31]Ryota Ikeuchi, Kazushi Ikeda:
An Automatic Music Transcription Based on Translation of Spectrum and Sound Path Estimation. ICONIP (1) 2011: 532-540 - [c30]Atsushi Miyamoto, Kazuho Watanabe, Kazushi Ikeda, Masa-aki Sato:
Phase diagrams of a variational Bayesian approach with ARD prior in NIRS-DOT. IJCNN 2011: 1230-1236 - [c29]Takatomi Kubo, Masaki Yoshida, Takumu Hattori, Kazushi Ikeda:
Feature Selection for Vowel Recognition Based on Surface Electromyography Derived with Multichannel Electrode Grid. IScIDE 2011: 242-249 - 2010
- [c28]Kazushi Ikeda, Tadashi Yanagihara, Gen Hattori, Kazunori Matsumoto, Yasuhiro Takishima:
Hazardous Document Detection Based on Dependency Relations and Thesaurus. Australasian Conference on Artificial Intelligence 2010: 455-465 - [c27]Takashi Takenouchi, Kazushi Ikeda:
Theoretical Analysis of Cross-Validation(CV)-EM Algorithm. ICANN (3) 2010: 321-326 - [c26]Kohei Hayashi, Takashi Takenouchi, Tomohiro Shibata, Yuki Kamiya, Daishi Kato, Kazuo Kunieda, Keiji Yamada, Kazushi Ikeda:
Exponential Family Tensor Factorization for Missing-Values Prediction and Anomaly Detection. ICDM 2010: 216-225 - [c25]Kazushi Ikeda, Tadashi Yanagihara, Kazunori Matsumoto, Yasuhiro Takishima:
Detection of Hazardous Information Based on HTML Elements. RIVF 2010: 1-4
2000 – 2009
- 2009
- [j23]Satoshi Nishida, Tomohiro Shibata, Kazushi Ikeda:
Prediction of human eye movements in facial discrimination tasks. Artif. Life Robotics 14(3): 348-351 (2009) - [j22]Izumi Kita, Tomohiro Shibata, Yuki Kamiya, Daishi Kato, Kazuo Kunieda, Keiji Yamada, Kazushi Ikeda:
Group feature extraction based on matrix factorization from long-range office-logging data. Artif. Life Robotics 14(3): 375-378 (2009) - [c24]Kazushi Ikeda, Tadashi Yanagihara, Kazunori Matsumoto, Yasuhiro Takishima:
Unsupervised Text Normalization Approach for Morphological Analysis of Blog Documents. Australasian Conference on Artificial Intelligence 2009: 401-411 - [c23]Hiroki Mima, Kazushi Ikeda, Tomohiro Shibata, Naoki Fukaya, Kentarou Hitomi, Takashi Bando:
Estimation of Driving Phase by Modeling Brake Pressure Signals. ICONIP (1) 2009: 468-475 - 2008
- [j21]Megumi Kaneko, Kazunori Hayashi, Petar Popovski, Kazushi Ikeda, Hideaki Sakai, Ramjee Prasad:
Amplify-and-forward cooperative diversity schemes for multicarrier systems. IEEE Trans. Wirel. Commun. 7(5-2): 1845-1850 (2008) - [c22]Thilmee M. Baduge, Kazushi Ikeda, Hirozumi Yamaguchi, Teruo Higashino:
Stability Oriented Overlay Multicast for Multimedia Streaming in Multiple Source Context. ICC 2008: 5708-5714 - [c21]Kentarou Hitomi, Takashi Bando, Naoki Fukaya, Kazushi Ikeda, Tomohiro Shibata:
Online Multibody Factorization Based on Bayesian Principal Component Analysis of Gaussian Mixture Models. ICONIP (1) 2008: 679-687 - [c20]Daisuke Komazawa, Kazushi Ikeda, Hiroyuki Funaya:
Information Geometry of Interspike Intervals in Spiking Neurons with Refractories. ICONIP (1) 2008: 731-736 - [c19]Hiroyuki Funaya, Yoshihiko Nomura, Kazushi Ikeda:
A Support Vector Machine with Forgetting Factor and Its Statistical Properties. ICONIP (1) 2008: 929-936 - [c18]Kazushi Ikeda, Shunsuke Mori, Yuya Ota, Takaaki Umedu, Akihito Hiromori, Hirozumi Yamaguchi, Teruo Higashino:
D-Sense: An Integrated Environment for Algorithm Design and Protocol Implementation in Wireless Sensor Networks. MMNS 2008: 20-32 - 2007
- [j20]Hiroyuki Funaya, Kazushi Ikeda:
A Network Analysis of Genetic Algorithms. IEICE Trans. Inf. Syst. 90-D(6): 1002-1005 (2007) - [j19]Kazushi Ikeda, Takemasa Yamasaki:
Incremental support vector machines and their geometrical analyses. Neurocomputing 70(13-15): 2528-2533 (2007) - [c17]Takemasa Yamasaki, Kazushi Ikeda, Yoshihiko Nomura:
An Apporoach to the Learning Curves of an Incremental Support Vector Machines. FOCI 2007: 466-469 - [c16]Kazushi Ikeda, Kazunori Iwata:
Information Geometry and Information Theory in Machine Learning. ICONIP (2) 2007: 295-304 - 2006
- [j18]Kazushi Ikeda:
Geometrical Properties of Lifting-Up in the Nu Support Vector Machines. IEICE Trans. Inf. Syst. 89-D(2): 847-852 (2006) - [j17]Kazushi Ikeda:
Geometric Properties of Quasi-Additive Learning Algorithms. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 89-A(10): 2812-2817 (2006) - [j16]Kazunori Iwata, Kazushi Ikeda, Hideaki Sakai:
The asymptotic equipartition property in reinforcement learning and its relation to return maximization. Neural Networks 19(1): 62-75 (2006) - [j15]Kazushi Ikeda:
Effects of kernel function on Nu support vector machines in extreme cases. IEEE Trans. Neural Networks 17(1): 1-9 (2006) - [j14]Kazunori Iwata, Kazushi Ikeda, Hideaki Sakai:
A statistical property of multiagent learning based on Markov decision process. IEEE Trans. Neural Networks 17(4): 829-842 (2006) - [c15]Hiroyuki Funaya, Kazushi Ikeda:
On Properties of Genetic Operators from a Network Analytical Viewpoint. ICONIP (3) 2006: 746-753 - [c14]Kazushi Ikeda:
On Geometric Structure of Quasi-Additive Learning Algorithms. IJCNN 2006: 1123-1127 - 2005
- [j13]Kazunori Iwata, Kazushi Ikeda, Hideaki Sakai:
On the Effects of Domain Size and Complexity in Empirical Distribution of Reinforcement Learning. IEICE Trans. Inf. Syst. 88-D(1): 135-142 (2005) - [j12]Kazushi Ikeda, Noboru Murata:
Geometrical Properties of Nu Support Vector Machines with Different Norms. Neural Comput. 17(11): 2508-2529 (2005) - [j11]Kazushi Ikeda:
Information Geometry of Interspike Intervals in Spiking Neurons. Neural Comput. 17(12): 2719-2735 (2005) - [j10]Kazushi Ikeda, Tsutomu Aoishi:
An asymptotic statistical analysis of support vector machines with soft margins. Neural Networks 18(3): 251-259 (2005) - [c13]Kazushi Ikeda:
An Information Geometrical Analysis of Neural Spike Sequences. ICANN (1) 2005: 133-138 - [c12]Kazunori Iwata, Hideaki Sakai, Kazushi Ikeda:
Stochastic Processes for Return Maximization in Reinforcement Learning. ICANN (2) 2005: 209-214 - [c11]Kazushi Ikeda, Noboru Murata:
Effects of norms on learning properties of support vector machines. ICASSP (5) 2005: 241-244 - 2004
- [j9]Kazushi Ikeda:
Boundedness of Input Space and Effective Dimension of Feature Space in Kernel Methods. IEICE Trans. Inf. Syst. 87-D(1): 258-260 (2004) - [j8]Kazushi Ikeda:
An Asymptotic Statistical Theory of Polynomial Kernel Methods. Neural Comput. 16(8): 1705-1719 (2004) - [j7]Kazushi Ikeda:
Geometry and learning curves of kernel methods with polynomial kernels. Syst. Comput. Jpn. 35(7): 41-48 (2004) - [j6]Kazunori Iwata, Kazushi Ikeda, Hideaki Sakai:
A new criterion using information gain for action selection strategy in reinforcement learning. IEEE Trans. Neural Networks 15(4): 792-799 (2004) - [c10]Kazunori Iwata, Kazushi Ikeda, Hideaki Sakai:
Asymptotic equipartition property on empirical sequence in reinforcement learning. Neural Networks and Computational Intelligence 2004: 90-95 - 2003
- [j5]Kazushi Ikeda:
A synfire chain in layered coincidence detectors with random synaptic delays. Neural Networks 16(1): 39-46 (2003) - [j4]Kazushi Ikeda, Ryohei Sakamoto:
Convergence analyses of stereo acoustic echo cancelers with preprocessing. IEEE Trans. Signal Process. 51(5): 1324-1334 (2003) - [j3]Youhua Wang, Kazushi Ikeda, Kenji Nakayama:
A numerically stable fast Newton-type adaptive filter based on order recursive least squares algorithm. IEEE Trans. Signal Process. 51(9): 2357-2368 (2003) - [c9]Kazushi Ikeda:
Generalization Error Analysis for Polynomial Kernel Methods - Algebraic Geometrical Approach. ICANN 2003: 201-208 - [c8]Kazunori Iwata, Kazushi Ikeda:
Temporal Difference Coding in Reinforcement Learning. IDEAL 2003: 218-227 - 2002
- [j2]Kazushi Ikeda:
Convergence analysis of block orthogonal projection and affine projection algorithms. Signal Process. 82(3): 491-496 (2002)
1990 – 1999
- 1999
- [c7]Kazushi Ikeda, Hideaki Sakai:
Convergence properties of the block orthogonal projection algorithm. ICASSP 1999: 1665-1668 - 1998
- [c6]Youhua Wang, Kazushi Ikeda, Kenji Nakayama:
A numerically stable fast Newton type adaptive filter based on order update fast least squares algorithm. ICASSP 1998: 1713-1716 - [c5]Kazushi Ikeda, Seiji Miyoshi, Kenji Nakayama:
Block-Size Optimization of Block Orthogonal Projection Algorithm for Linear Dichotomies. ICONIP 1998: 1215-1218 - 1997
- [c4]Kazushi Ikeda, Akihiro Suzuki, Kenji Nakayama:
The effects of quantization on the backpropagation learning. ICNN 1997: 1896-1900 - 1996
- [c3]Kazushi Ikeda, Lei Xu:
The probability distribution of parameters learned with the EM algorithm. ICNN 1996: 306-310 - [c2]Hideki Kobori, Kazushi Ikeda, Kenji Nakayama:
A model of dynamic associative memory. ICNN 1996: 804-809 - 1995
- [c1]Kazuhiro Minamimoto, Kazushi Ikeda, Kenji Nakayama:
Topology analysis of data space using self-organizing feature map. ICNN 1995: 789-794 - 1991
- [j1]Yoshihiko Hirai, Sadafumi Tomida, Kazushi Ikeda, Masaru Sasago, Masayuki Endo, Sigeru Hayama, Noboru Nomura:
Three-dimensional resist process simulator PEACE (photo and electron beam lithography analyzing computer engineering system). IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 10(6): 802-807 (1991)
Coauthor Index
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