Three-dimensional resist process simulator PEACE (photo and electron beam lithography analyzing computer engineering system). - Yoshihiko Hirai; Sadafumi Tomida; Kazushi Ikeda; Masaru Sasago; Masayuki Endo; Sigeru Hayama; Noboru Nomura (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 1991)

Topology analysis of data space using self-organizing feature map. - Kazuhiro Minamimoto; Kazushi Ikeda; Kenji Nakayama (ICNN, 1995)

The probability distribution of parameters learned with the EM algorithm. - Kazushi Ikeda; Lei Xu 001 (ICNN, 1996)

A model of dynamic associative memory. - Hideki Kobori; Kazushi Ikeda; Kenji Nakayama (ICNN, 1996)

The effects of quantization on the backpropagation learning. - Kazushi Ikeda; Akihiro Suzuki; Kenji Nakayama (ICNN, 1997)

A numerically stable fast Newton type adaptive filter based on order update fast least squares algorithm. - Youhua Wang; Kazushi Ikeda; Kenji Nakayama (ICASSP, 1998)

Block-Size Optimization of Block Orthogonal Projection Algorithm for Linear Dichotomies. - Kazushi Ikeda; Seiji Miyoshi; Kenji Nakayama (ICONIP, 1998)

Convergence properties of the block orthogonal projection algorithm. - Kazushi Ikeda; Hideaki Sakai (ICASSP, 1999)

Convergence analysis of block orthogonal projection and affine projection algorithms. - Kazushi Ikeda (Signal Process., 2002)

Generalization Error Analysis for Polynomial Kernel Methods - Algebraic Geometrical Approach. - Kazushi Ikeda (ICANN, 2003)

Temporal Difference Coding in Reinforcement Learning. - Kazunori Iwata 002; Kazushi Ikeda (IDEAL, 2003)

A synfire chain in layered coincidence detectors with random synaptic delays. - Kazushi Ikeda (Neural Networks, 2003)

Convergence analyses of stereo acoustic echo cancelers with preprocessing. - Kazushi Ikeda; Ryohei Sakamoto (IEEE Trans. Signal Process., 2003)

A numerically stable fast Newton-type adaptive filter based on order recursive least squares algorithm. - Youhua Wang; Kazushi Ikeda; Kenji Nakayama (IEEE Trans. Signal Process., 2003)

Asymptotic equipartition property on empirical sequence in reinforcement learning. - Kazunori Iwata 002; Kazushi Ikeda; Hideaki Sakai (Neural Networks and Computational Intelligence, 2004)

Boundedness of Input Space and Effective Dimension of Feature Space in Kernel Methods. - Kazushi Ikeda (IEICE Trans. Inf. Syst., 2004)

An Asymptotic Statistical Theory of Polynomial Kernel Methods. - Kazushi Ikeda (Neural Comput., 2004)

Geometry and learning curves of kernel methods with polynomial kernels. - Kazushi Ikeda (Syst. Comput. Jpn., 2004)

A new criterion using information gain for action selection strategy in reinforcement learning. - Kazunori Iwata 002; Kazushi Ikeda; Hideaki Sakai (IEEE Trans. Neural Networks, 2004)

An Information Geometrical Analysis of Neural Spike Sequences. - Kazushi Ikeda (ICANN (1), 2005)

Stochastic Processes for Return Maximization in Reinforcement Learning. - Kazunori Iwata 002; Hideaki Sakai; Kazushi Ikeda (ICANN (2), 2005)

Effects of norms on learning properties of support vector machines. - Kazushi Ikeda; Noboru Murata (ICASSP (5), 2005)

On the Effects of Domain Size and Complexity in Empirical Distribution of Reinforcement Learning. - Kazunori Iwata 002; Kazushi Ikeda; Hideaki Sakai (IEICE Trans. Inf. Syst., 2005)

Information Geometry of Interspike Intervals in Spiking Neurons. - Kazushi Ikeda (Neural Comput., 2005)

Geometrical Properties of Nu Support Vector Machines with Different Norms. - Kazushi Ikeda; Noboru Murata (Neural Comput., 2005)

An asymptotic statistical analysis of support vector machines with soft margins. - Kazushi Ikeda; Tsutomu Aoishi (Neural Networks, 2005)

On Properties of Genetic Operators from a Network Analytical Viewpoint. - Hiroyuki Funaya; Kazushi Ikeda (ICONIP (3), 2006)

On Geometric Structure of Quasi-Additive Learning Algorithms. - Kazushi Ikeda (IJCNN, 2006)

Geometric Properties of Quasi-Additive Learning Algorithms. - Kazushi Ikeda (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2006)

Geometrical Properties of Lifting-Up in the Nu Support Vector Machines. - Kazushi Ikeda (IEICE Trans. Inf. Syst., 2006)

The asymptotic equipartition property in reinforcement learning and its relation to return maximization. - Kazunori Iwata 002; Kazushi Ikeda; Hideaki Sakai (Neural Networks, 2006)

Effects of kernel function on Nu support vector machines in extreme cases. - Kazushi Ikeda (IEEE Trans. Neural Networks, 2006)

A statistical property of multiagent learning based on Markov decision process. - Kazunori Iwata 002; Kazushi Ikeda; Hideaki Sakai (IEEE Trans. Neural Networks, 2006)

An Apporoach to the Learning Curves of an Incremental Support Vector Machines. - Takemasa Yamasaki; Kazushi Ikeda; Yoshihiko Nomura (FOCI, 2007)

Information Geometry and Information Theory in Machine Learning. - Kazushi Ikeda; Kazunori Iwata 002 (ICONIP (2), 2007)

A Network Analysis of Genetic Algorithms. - Hiroyuki Funaya; Kazushi Ikeda (IEICE Trans. Inf. Syst., 2007)

Incremental support vector machines and their geometrical analyses. - Kazushi Ikeda; Takemasa Yamasaki (Neurocomputing, 2007)

Stability Oriented Overlay Multicast for Multimedia Streaming in Multiple Source Context. - Thilmee M. Baduge; Kazushi Ikeda; Hirozumi Yamaguchi; Teruo Higashino (ICC, 2008)

A Support Vector Machine with Forgetting Factor and Its Statistical Properties. - Hiroyuki Funaya; Yoshihiko Nomura; Kazushi Ikeda (ICONIP (1), 2008)

Online Multibody Factorization Based on Bayesian Principal Component Analysis of Gaussian Mixture Models. - Kentarou Hitomi; Takashi Bando; Naoki Fukaya; Kazushi Ikeda; Tomohiro Shibata (ICONIP (1), 2008)

Information Geometry of Interspike Intervals in Spiking Neurons with Refractories. - Daisuke Komazawa; Kazushi Ikeda; Hiroyuki Funaya (ICONIP (1), 2008)

D-Sense: An Integrated Environment for Algorithm Design and Protocol Implementation in Wireless Sensor Networks. - Kazushi Ikeda; Shunsuke Mori; Yuya Ota; Takaaki Umedu; Akihito Hiromori; Hirozumi Yamaguchi; Teruo Higashino (MMNS, 2008)

Amplify-and-forward cooperative diversity schemes for multicarrier systems. - Megumi Kaneko; Kazunori Hayashi; Petar Popovski; Kazushi Ikeda; Hideaki Sakai; Ramjee Prasad (IEEE Trans. Wirel. Commun., 2008)

Unsupervised Text Normalization Approach for Morphological Analysis of Blog Documents. - Kazushi Ikeda; Tadashi Yanagihara; Kazunori Matsumoto; Yasuhiro Takishima (Australasian Conference on Artificial Intelligence, 2009)

Estimation of Driving Phase by Modeling Brake Pressure Signals. - Hiroki Mima; Kazushi Ikeda; Tomohiro Shibata; Naoki Fukaya; Kentarou Hitomi; Takashi Bando (ICONIP (1), 2009)

Group feature extraction based on matrix factorization from long-range office-logging data. - Izumi Kita; Tomohiro Shibata; Yuki Kamiya; Daishi Kato; Kazuo Kunieda; Keiji Yamada; Kazushi Ikeda (Artif. Life Robotics, 2009)

Prediction of human eye movements in facial discrimination tasks. - Satoshi Nishida; Tomohiro Shibata; Kazushi Ikeda (Artif. Life Robotics, 2009)

Hazardous Document Detection Based on Dependency Relations and Thesaurus. - Kazushi Ikeda; Tadashi Yanagihara; Gen Hattori; Kazunori Matsumoto; Yasuhiro Takishima (Australasian Conference on Artificial Intelligence, 2010)

Theoretical Analysis of Cross-Validation(CV)-EM Algorithm. - Takashi Takenouchi; Kazushi Ikeda (ICANN (3), 2010)

Exponential Family Tensor Factorization for Missing-Values Prediction and Anomaly Detection. - Kohei Hayashi; Takashi Takenouchi; Tomohiro Shibata; Yuki Kamiya; Daishi Kato; Kazuo Kunieda; Keiji Yamada; Kazushi Ikeda (ICDM, 2010)

Detection of Hazardous Information Based on HTML Elements. - Kazushi Ikeda; Tadashi Yanagihara; Kazunori Matsumoto; Yasuhiro Takishima (RIVF, 2010)

An Automatic Music Transcription Based on Translation of Spectrum and Sound Path Estimation. - Ryota Ikeuchi; Kazushi Ikeda (ICONIP (1), 2011)

An Online Human Activity Recognizer for Mobile Phones with Accelerometer. - Yuki Maruno; Kenta Cho 001; Yuzo Okamoto; Hisao Setoguchi; Kazushi Ikeda (ICONIP (2), 2011)

Phase diagrams of a variational Bayesian approach with ARD prior in NIRS-DOT. - Atsushi Miyamoto; Kazuho Watanabe; Kazushi Ikeda; Masa-aki Sato (IJCNN, 2011)

Feature Selection for Vowel Recognition Based on Surface Electromyography Derived with Multichannel Electrode Grid. - Takatomi Kubo; Masaki Yoshida; Takumu Hattori; Kazushi Ikeda (IScIDE, 2011)

ALMware: A middleware for application layer multicast protocols. - Kazushi Ikeda; Thilmee M. Baduge; Takaaki Umedu; Hirozumi Yamaguchi; Teruo Higashino (Comput. Commun., 2011)

Exponential family tensor factorization: an online extension and applications. - Kohei Hayashi; Takashi Takenouchi; Tomohiro Shibata; Yuki Kamiya; Daishi Kato; Kazuo Kunieda; Keiji Yamada; Kazushi Ikeda (Knowl. Inf. Syst., 2011)

Divergence measures and a general framework for local variational approximation. - Kazuho Watanabe; Masato Okada; Kazushi Ikeda (Neural Networks, 2011)

Editorial: One Year as EiC, and Editorial-Board Changes at TNN. - 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; et al. (IEEE Trans. Neural Networks, 2011)

Packet loss rate estimation with active and passive measurements. - Atsushi Miyamoto; Kazuho Watanabe; Kazushi Ikeda (APSIPA, 2012)

An Estimation of Cell Forces with Hierarchical Bayes Approach Considering Cell Morphology. - Satoshi Kozawa; Yuichi Sakumura; Michinori Toriyama; Naoyuki Inagaki; Kazushi Ikeda (ICONIP (1), 2012)

A statistical analysis of soft-margin support vector machines for non-separable problems. - Hiroyuki Funaya; Kazushi Ikeda (IJCNN, 2012)

Convergence Properties of Perceptron Learning with Noisy Teacher. - Kazushi Ikeda; Hiroaki Hanzawa; Seiji Miyoshi (IScIDE, 2012)

Subsurface imaging for anti-personal mine detection by Bayesian super-resolution with a smooth-gap prior. - Satoshi Kozawa; Takashi Takenouchi; Kazushi Ikeda (Artif. Life Robotics, 2012)

Statistical properties of support vector machines with forgetting factor. - Hiroyuki Funaya; Kazushi Ikeda (Neural Networks, 2012)

Early Detection Method of Service Quality Reduction Based on Linguistic and Time Series Analysis of Twitter. - Kazushi Ikeda; Gen Hattori; Chihiro Ono; Hideki Asoh; Teruo Higashino (AINA Workshops, 2013)

A comparative study of time series modeling for driving behavior towards prediction. - Ryunosuke Hamada; Takatomi Kubo; Kazushi Ikeda; Zujie Zhang; Takashi Bando; Masumi Egawa (APSIPA, 2013)

Evolutionary programming based recommendation system for online shopping. - Jehan Jung; Yuka Matsuba; Rammohan Mallipeddi; Hiroyuki Funaya; Kazushi Ikeda; Minho Lee 001 (APSIPA, 2013)

Visual fixation patterns of artists and novices in abstract painting observations. - Naoko Koide; Takatomi Kubo; Tomohiro Shibata; Kazushi Ikeda (APSIPA, 2013)

Shift invariant feature extraction for sEMG-based speech recognition with electrode grid. - Takatomi Kubo; Masaki Yoshida; Takumu Hattori; Kazushi Ikeda (EMBC, 2013)

Experimental comparison of classification methods for key kinase identification for neurite elongation. - Yuji Yoshida; Kei Majima; Tatsuya Yamada; Yuki Maruno; Yuichi Sakumura; Kazushi Ikeda (EMBC, 2013)

Applying Bayesian nonparametrics to non-homogeneous driving operation data towards prediction. - Ryunosuke Hamada; Takatomi Kubo; Kazushi Ikeda; Zujie Zhang; Tomohiro Shibata; Takashi Bando; Masumi Egawa (EUSIPCO, 2013)

Towards prediction of driving behavior via basic pattern discovery with BP-AR-HMM. - Ryunosuke Hamada; Takatomi Kubo; Kazushi Ikeda; Zujie Zhang; Tomohiro Shibata; Takashi Bando; Masumi Egawa (ICASSP, 2013)

Probability of Perfect Reconstruction of Pareto Set in Multi-Objective Optimization. - Kazushi Ikeda; Akira Hontani (ICONIP (2), 2013)

Automatic Labeling of Training Data for Collecting Tweets for Ambiguous TV Program Titles. - Maike Erdmann; Erik Ward; Kazushi Ikeda; Gen Hattori; Chihiro Ono; Yasuhiro Takishima (SocialCom, 2013)

Twitter user profiling based on text and community mining for market analysis. - Kazushi Ikeda; Gen Hattori; Chihiro Ono; Hideki Asoh; Teruo Higashino (Knowl. Based Syst., 2013)

Adaptive Markov chain Monte Carlo for auxiliary variable method and its application to parallel tempering. - Takamitsu Araki; Kazushi Ikeda (Neural Networks, 2013)

Forecasting in wind energy applications with site-adaptive Weibull estimation. - Matthew J. Holland; Kazushi Ikeda (ICASSP, 2014)

Prediction of driving behaviors in intersections based on a supervised dimension reduction considering locality. - Takatomi Kubo; Ryunosuke Hamada; Zujie Zhang; Kazushi Ikeda; Takashi Bando; Kentarou Hitomi; Masumi Egawa (ITSC, 2014)

Birdsong analysis using beta process hidden Markov model. - Ryunosuke Hamada; Takatomi Kubo; Kentaro Katahira; Kenta Suzuki; Kazuo Okanoya; Kazushi Ikeda (MLSP, 2014)

Feature Based Sentiment Analysis of Tweets in Multiple Languages. - Maike Erdmann; Kazushi Ikeda; Hiromi Ishizaki; Gen Hattori; Yasuhiro Takishima (WISE (2), 2014)

Towards excluding redundancy in electrode grid for automatic speech recognition based on surface EMG. - Takatomi Kubo; Masaki Yoshida; Takumu Hattori; Kazushi Ikeda (Neurocomputing, 2014)

In-home measurement system of user's motion and center of pressure. - Tomoya Tamei; Yasuyuki Orito; Tomohiro Shibata; Kazushi Ikeda (APSIPA, 2015)

Modeling dynamic high-DOF finger postures from surface EMG using nonlinear synergies in latent space representation. - Jimson Ngeo; Tomoya Tamei; Kazushi Ikeda; Tomohiro Shibata (EMBC, 2015)

Location robust estimation of predictive Weibull parameters in short-term wind speed forecasting. - Matthew J. Holland; Kazushi Ikeda (ICASSP, 2015)

Information Theoretical Analysis of Deep Learning Representations. - Yasutaka Furusho; Takatomi Kubo; Kazushi Ikeda (ICONIP (1), 2015)

Cloth dynamics modeling in latent spaces and its application to robotic clothing assistance. - Nishanth Koganti; Jimson Gelbolingo Ngeo; Tomoya Tamei; Kazushi Ikeda; Tomohiro Shibata (IROS, 2015)

Assigning Keywords to Automatically Extracted Personal Cliques from Social Networks. - Maike Erdmann; Tomoya Takeyoshi; Kazushi Ikeda; Gen Hattori; Chihiro Ono; Yasuhiro Takishima (J. Inf. Process., 2015)

An efficient sampling algorithm with adaptations for Bayesian variable selection. - Takamitsu Araki; Kazushi Ikeda; Shotaro Akaho (Neural Networks, 2015)

Bayesian Cell Force Estimation Considering Force Directions. - Satoshi Kozawa; Yuichi Sakumura; Michinori Toriyama; Naoyuki Inagaki; Kazushi Ikeda (Neural Process. Lett., 2015)

Variational Bayesian Inference Algorithms for Infinite Relational Model of Network Data. - Takuya Konishi; Takatomi Kubo; Kazuho Watanabe; Kazushi Ikeda (IEEE Trans. Neural Networks Learn. Syst., 2015)

Variational Inference With ARD Prior for NIRS Diffuse Optical Tomography. - Atsushi Miyamoto; Kazuho Watanabe; Kazushi Ikeda; Masa-aki Sato (IEEE Trans. Neural Networks Learn. Syst., 2015)

Canine emotional states assessment with heart rate variability. - Eri Nakahara; Yuki Maruno; Takatomi Kubo; Rina Ouchi; Maki Katayama; Koichi Fujiwara; Miho Nagasawa; Takefumi Kikusui; Kazushi Ikeda (APSIPA, 2016)

Steering behavior model of drivers on driving simulator through visual information. - Tomohito Suzaki; Takatomi Kubo; Toshihiro Hiraoka; Yuto Nakagawa; Tetsuya Terada; Toru Yoshioka; Kazushi Ikeda (APSIPA, 2016)

Pay It Backward: Per-Task Payments on Crowdsourcing Platforms Reduce Productivity. - Kazushi Ikeda; Michael S. Bernstein (CHI, 2016)

Analysis of effective sit-to-stand therapy using kinematic synergies. - Bryan Lao; Tomoya Tamei; Kazushi Ikeda (EMBC, 2016)

A Brief Review of Spin-Glass Applications in Unsupervised and Semi-supervised Learning. - Lei Zhu; Kazushi Ikeda; Paul Pang; Ruibin Zhang; Abdolhossein Sarrafzadeh (ICONIP (1), 2016)

A reinforcement learning approach to the shepherding task using SARSA. - Clark Kendrick Go; Bryan Lao; Junichiro Yoshimoto; Kazushi Ikeda (IJCNN, 2016)

Distributed incremental wLPSVM learning. - Lei Zhu; Tao Ban; Kazushi Ikeda; Paul Pang; Abdolhossein Sarrafzadeh (SSCI, 2016)

Extracting Search Query Patterns via the Pairwise Coupled Topic Model. - Takuya Konishi; Takuya Ohwa; Sumio Fujita; Kazushi Ikeda; Kohei Hayashi (WSDM, 2016)

Modeling and Prediction of Driving Behaviors Using a Nonparametric Bayesian Method With AR Models. - Ryunosuke Hamada; Takatomi Kubo; Kazushi Ikeda; Zujie Zhang; Tomohiro Shibata; Takashi Bando; Kentarou Hitomi; Masumi Egawa (IEEE Trans. Intell. Veh., 2016)

Minimum Proper Loss Estimators for Parametric Models. - Matthew J. Holland; Kazushi Ikeda (IEEE Trans. Signal Process., 2016)

Real-time emotional state estimation system for Canines based on heart rate variability. - Ryunosuke Hamada; Kazunori Ohno; Satoko Matsubara; Tatsuya Hoshi; Miho Nagasawa; Takefumi Kikusui; Takatomi Kubo; Eri Nakahara; Kazushi Ikeda; Shumpei Yamaguchi; Toshitaka Yamakawa; Satoshi Tadokoro (CBS, 2017)

Crowdsourcing GO: Effect of Worker Situation on Mobile Crowdsourcing Performance. - Kazushi Ikeda; Keiichiro Hoashi (CHI, 2017)

Application of SsVGMM to medical data - classification with novelty detection. - Fan Yang 032; Jaymar Soriano; Takatomi Kubo; Kazushi Ikeda (EMBC, 2017)

A Bootstrap Method for Automatic Rule Acquisition on Emotion Cause Extraction. - Shuntaro Yada; Kazushi Ikeda; Keiichiro Hoashi; Kyo Kageura (ICDM Workshops, 2017)

A Hierarchical Mixture Density Network. - Fan Yang 032; Jaymar Soriano; Takatomi Kubo; Kazushi Ikeda (ICONIP (4), 2017)

Online portfolio selection based on the posts of winners and losers in stock microblogs. - Shinta Koyano; Kazushi Ikeda (SSCI, 2017)

Roles of pre-training in deep neural networks from information theoretical perspective. - Yasutaka Furusho; Takatomi Kubo; Kazushi Ikeda (Neurocomputing, 2017)

Robust regression using biased objectives. - Matthew J. Holland; Kazushi Ikeda (Mach. Learn., 2017)

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. - Jaymar Soriano; Takatomi Kubo; Takao Inoue; Hiroyuki Kida; Toshitaka Yamakawa; Michiyasu Suzuki; Kazushi Ikeda (PLoS Comput. Biol., 2017)

Bayesian Nonparametric Learning of Cloth Models for Real-Time State Estimation. - Nishanth Koganti; Tomoya Tamei; Kazushi Ikeda; Tomohiro Shibata (IEEE Trans. Robotics, 2017)

A Design of IoT-Based Searching System for Displaying Victim's Presence Area. - Mohammad Rosyidi; Ratih H. Puspita; Shigeru Kashihara; Doudou Fall; Kazushi Ikeda (COMPSAC (2), 2018)

Utilizing Crowdsourced Asynchronous Chat for Efficient Collection of Dialogue Dataset. - Kazushi Ikeda; Keiichiro Hoashi (HCOMP, 2018)

Feature Selection Using Distance from Classification Boundary and Monte Carlo Simulation. - Yutaro Koyama; Kazushi Ikeda; Yuichi Sakumura (ICONIP (4), 2018)

Online Max-flow Learning via Augmenting and De-augmenting Path. - Shaoning Pang 001; Lei Zhu; Tao Ban; Kazushi Ikeda; Wangfei Zhang; Abdolhossein Sarrafzadeh; Takeshi Takahashi 001; Daisuke Inoue (IJCNN, 2018)

Anomaly Detection of Roads from Driving Data Using a Statistical Discrepancy Measure. - Kazushi Ikeda; Takatomi Kubo; Hiroaki Sasaki; Masataka Mori; Kentarou Hitomi; Kazuhito Takenaka; Kenji Muto (ITSC, 2018)

Predicting the Occurrence of Life Events from User's Tweet History. - Shun Abe; Masumi Shirakawa; Tatsuya Nakamura; Takahiro Hara; Kazushi Ikeda; Keiichiro Hoashi (ICSC, 2018)

Non-monotonic convergence of online learning algorithms for perceptrons with noisy teacher. - Kazushi Ikeda; Arata Honda; Hiroaki Hanzawa; Seiji Miyoshi (Neural Networks, 2018)

Merging weighted SVMs for parallel incremental learning. - Lei Zhu; Kazushi Ikeda; Shaoning Pang 001; Tao Ban; Abdolhossein Sarrafzadeh (Neural Networks, 2018)

Preface. - Kazushi Ikeda; Minho Lee 001 (Neural Process. Lett., 2018)

ResNet and Batch-normalization Improve Data Separability. - Yasutaka Furusho; Kazushi Ikeda (ACML, 2019)

Towards Generation of Visual Attention Map for Source Code. - Takeshi D. Itoh; Takatomi Kubo; Kiyoka Ikeda; Yuki Maruno; Yoshiharu Ikutani; Hideaki Hata; Kenichi Matsumoto; Kazushi Ikeda (APSIPA, 2019)

Interaction Analysis in Hunting Behavior of Finless Porpoises. - Mikiko Konda; Takatomi Kubo; Naruki Morimura; Kazushi Ikeda (APSIPA, 2019)

Statistical analysis on characteristic whisker movements observed in reward processing. - Junichiro Yoshimoto; Jumpei Ozaki; Kohta Mizutani; Takashi Nakano; Kazushi Ikeda; Takayuki Yamashita (APSIPA, 2019)

Characterizing Strategic Contributions of Physical Therapy to Natural Standing Motion in the Muscle Synergy Space. - Bryan Lao; Tomoya Tamei; Kazushi Ikeda (EMBC, 2019)

Better generalization with less data using robust gradient descent. - Matthew J. Holland; Kazushi Ikeda (ICML, 2019)

Effects of Skip-Connection in ResNet and Batch-Normalization on Fisher Information Matrix. - Yasutaka Furusho; Kazushi Ikeda (INNSBDDL, 2019)

Skipping Two Layers in ResNet Makes the Generalization Gap Smaller than Skipping One or No Layer. - Yasutaka Furusho; Tongliang Liu; Kazushi Ikeda (INNSBDDL, 2019)

Empathic dialogue system based on emotions extracted from tweets. - Shunichi Tahara; Kazushi Ikeda; Keiichiro Hoashi (IUI, 2019)

Forecasting Mood Using Smartphone and SNS Data. - Chaima Dhahri; Kazushi Ikeda; Keiichiro Hoashi (HotMobile, 2019)

Data-efficient learning of robotic clothing assistance using Bayesian Gaussian process latent variable model. - Nishanth Koganti; Tomohiro Shibata; Tomoya Tamei; Kazushi Ikeda (Adv. Robotics, 2019)

Editorial. - Shaoning Pang 001; Xuyun Zhang; Kazushi Ikeda; Deepak Puthal; Jianxin Li 001; Abdolhossein Sarrafzadeh (Comput. Intell., 2019)

Direct Log-Density Gradient Estimation with Gaussian Mixture Models and Its Application to Clustering. - Qi Zhang; Hiroaki Sasaki; Kazushi Ikeda (IEICE Trans. Inf. Syst., 2019)

Efficient learning with robust gradient descent. - Matthew J. Holland; Kazushi Ikeda (Mach. Learn., 2019)

Cyber-Enhanced Rescue Canine. - Kazunori Ohno; Ryunosuke Hamada; Tatsuya Hoshi; Hiroyuki Nishinoma; Shumpei Yamaguchi; Solvi Arnold; Kimitoshi Yamazaki; Takefumi Kikusui; Satoko Matsubara; Miho Nagasawa; Takatomi Kubo; Eri Nakahara; et al. (Disaster Robotics, 2019)

Quantification Analysis of Behavioral Changes after Sciatic Nerve Ligation in Rats. - Panyawut Sri-Iesaranusorn; Saeka Shimochi; Naoki Ono; Emrah Yatkin; Hidehiro Iida; Kazushi Ikeda; Junichiro Yoshimoto (APSIPA, 2020)

Mathematical Model of Horse and Rider Interaction during Horse Jumping. - Asahi Tsuruo; Monamie Ringhofer; Shinya Yamamoto; Kazushi Ikeda (APSIPA, 2020)

Feasibility of focal brain cooling for partial epilepsy with secondary generalization: A computational study*. - Jaymar Soriano; Takatomi Kubo; Kazushi Ikeda (EMBC, 2020)

Hindsight-Combined and Hindsight-Prioritized Experience Replay. - Renzo Roel P. Tan; Kazushi Ikeda; John Paul C. Vergara (ICONIP (2), 2020)

Evaluating Mental State of Drivers in Automated Driving Using Heart Rate Variability towards Feasible Request-to-Intervene. - 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 (SMC, 2020)

Extraction of Hierarchical Behavior Patterns Using a Non-parametric Bayesian Approach. - Jeric Briones; Takatomi Kubo; Kazushi Ikeda (Frontiers Comput. Sci., 2020)

Data-Efficient Framework for Personalized Physiotherapy Feedback. - Bryan Lao; Tomoya Tamei; Kazushi Ikeda (Frontiers Comput. Sci., 2020)

Evaluation of the Effect of Transfer Learning to Multi-Instance Detection of Monkeys. - Riza Rae Pineda; Takatomi Kubo; Masaki Shimada; Kazushi Ikeda (APSIPA ASC, 2021)

Mathematical Model of a Horse and the Rider during a Jump. - Asahi Tsuruo; Monamie Ringhofer; Shinya Yamamoto; Kazushi Ikeda (APSIPA ASC, 2021)

Leveraging Longitudinal Lifelog Data Using Survival Models for Predicting Risk of Relapse among Patients with Depression in Remission. - Felan Carlo C. Garcia; Ayumi Hirao; Aran Tajika; Toshi A. Furukawa; Kazushi Ikeda; Junichiro Yoshimoto (EMBC, 2021)

Toward the Perfect Stroke: A Multimodal Approach for Table Tennis Stroke Evaluation. - Panyawut Sri-Iesaranusorn; Felan Carlo C. Garcia; Francis Tiausas; Supatsara Wattanakriengkrai; Kazushi Ikeda; Junichiro Yoshimoto (ICMU, 2021)

Solving the Shepherding Problem: Imitation Learning Can Acquire the Switching Algorithm. - Clark Kendrick Go; Nishanth Koganti; Kazushi Ikeda (IJCNN, 2021)

JaSenpai: Towards an Adaptive and Social Interactive E-Learning Platform for Japanese Language Learning. - Mario E. Aburto-Gutierrez; Gamar Azuaje; Vipul Mishra; Shaira Osmani; Kazushi Ikeda (ICALT, 2022)

Complete Cross-triplet Loss in Label Space for Audio-visual Cross-modal Retrieval. - Donghuo Zeng; Yanan Wang 002; Jianming Wu; Kazushi Ikeda (ISM, 2022)

Compositionality-Aware Graph2Seq Learning. - Takeshi D. Itoh; Takatomi Kubo; Kazushi Ikeda (CoRR, 2022)

Multi-level attention pooling for graph neural networks: Unifying graph representations with multiple localities. - Takeshi D. Itoh; Takatomi Kubo; Kazushi Ikeda (Neural Networks, 2022)

Face-mask-aware Facial Expression Recognition based on Face Parsing and Vision Transformer. - Bo Yang 057; Jianming Wu; Kazushi Ikeda; Gen Hattori; Masaru Sugano; Yusuke Iwasawa; Yutaka Matsuo (Pattern Recognit. Lett., 2022)

Electrocardiogram Measurement and Emotion Estimation of Working Dogs. - Kazunori Ohno; Kotaro Sato; Ryunosuke Hamada; Takatomi Kubo; Kazushi Ikeda; Miho Nagasawa; Takefumi Kikusui; Sandeep Kumar Nayak; Shotaro Kojima; Satoshi Tadokoro (IEEE Robotics Autom. Lett., 2022)

Output Power Characterization of Flexible Thermoelectric Power Generators. - 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 (IEICE Trans. Electron., 2022)

EmotiW 2023: Emotion Recognition in the Wild Challenge. - Abhinav Dhall; Monisha Singh; Roland Goecke; Tom Gedeon; Donghuo Zeng; Yanan Wang 002; Kazushi Ikeda (ICMI, 2023)

Do I Have Your Attention: A Large Scale Engagement Prediction Dataset and Baselines. - Monisha Singh; Ximi Hoque; Donghuo Zeng; Yanan Wang 002; Kazushi Ikeda; Abhinav Dhall (ICMI, 2023)

Detecting Dialogue Hallucination Using Graph Neural Networks. - Kazuaki Furumai; Yanan Wang 002; Makoto Shinohara; Kazushi Ikeda; Yi Yu 001; Tsuneo Kato (ICMLA, 2023)

ALLFA: Active Learning Through Label and Feature Augmentation. - Yasutaka Nishimura; Naoto Takeda; Roberto Legaspi; Kazushi Ikeda; Thomas Plötz; Sonia Chernova (ICMLA, 2023)

The Pancake Graph of Order 10 Is 4-Colorable. - Renzo Roel Perez Tan; Aldrich Ellis Catapang Asuncion; Brian Godwin Sy Lim; Mate Soos; Kazushi Ikeda (ICoMS, 2023)

Temporal Attention for Robust Multiple Object Pose Tracking. - Zhongluo Li; Junichiro Yoshimoto; Kazushi Ikeda (ICONIP (4), 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; Sonia Chernova (IE, 2023)

Triplet Loss with Curriculum Learning for Audio-Visual Retrieval. - Donghuo Zeng; Kazushi Ikeda (ISM, 2023)

Extraction of Important Temporal Order for eXplainable AI on Time-series data. - Yasutaka Nishimura; Naoto Takeda; Roberto Legaspi; Kazushi Ikeda; Thomas Plötz; Sonia Chernova (PerCom Workshops, 2023)

Composing Groups in Collaborative Learning by Pair Personality Differences. - Akihiro Kobayashi; Yuichi Ishikawa; Kazushi Ikeda; Daisuke Kamisaka; Roberto Legaspi (UMAP, 2023)

Topic-switch adapted Japanese Dialogue System based on PLATO-2. - Donghuo Zeng; Jianming Wu; Yanan Wang 002; Kazunori Matsumoto; Gen Hattori; Kazushi Ikeda (CoRR, 2023)

Two-Stage Triplet Loss Training with Curriculum Augmentation for Audio-Visual Retrieval. - Donghuo Zeng; Kazushi Ikeda (CoRR, 2023)

Deep Learning Pipeline for Spotting Macro- and Micro-expressions in Long Video Sequences Based on Action Units and Optical Flow. - Bo Yang 057; Jianming Wu; Kazushi Ikeda; Gen Hattori; Masaru Sugano; Yusuke Iwasawa; Yutaka Matsuo (Pattern Recognit. Lett., 2023)

Deep MAnTra: deep learning-based multi-animal tracking for Japanese macaques. - Riza Rae Pineda; Takatomi Kubo; Masaki Shimada; Kazushi Ikeda (Artif. Life Robotics, 2023)

Learning to mimic programmers gaze behavior for program comprehension improvement. - Jeanne Barthélemy; Takatomi Kubo; Takeshi D. Itoh; Kiyoka Ikeda; Kazushi Ikeda (Artif. Life Robotics, 2023)

Negative emotion recognition using multimodal physiological signals for advanced driver assistance systems. - Chie Hieida; Tomoaki Yamamoto; Takatomi Kubo; Junichiro Yoshimoto; Kazushi Ikeda (Artif. Life Robotics, 2023)

Engineering a data processing pipeline for an ultra-lightweight lensless fluorescence imaging device with neuronal-cluster resolution. - Zihao Yu; Mark Christian Guinto; Brian Godwin S. Lim; Renzo Roel P. Tan; Junichiro Yoshimoto; Kazushi Ikeda; Yasumi Ohta; Jun Ohta (Artif. Life Robotics, 2023)

Zero-shot Persuasive Chatbots with LLM-Generated Strategies and Information Retrieval. - Kazuaki Furumai; Roberto Legaspi; Julio Romero; Yudai Yamazaki; Yasutaka Nishimura; Sina J. Semnani; Kazushi Ikeda; Weiyan Shi; Monica S. Lam (EMNLP (Findings), 2024)

Defecation Prediction System Using & A Mathematical Model of Bowel Sounds. - Koki Kishishita; Kazushi Ikeda (ICMLC, 2024)

Anchor-aware Deep Metric Learning for Audio-visual Retrieval. - Donghuo Zeng; Yanan Wang 002; Kazushi Ikeda; Yi Yu 001 (ICMR, 2024)

Identifying Latent State-Transition Processes for Individualized Reinforcement Learning. - Yuewen Sun; Biwei Huang; Yu Yao 005; Donghuo Zeng; Xinshuai Dong; Songyao Jin; Boyang Sun; Roberto Legaspi; Kazushi Ikeda; Peter Spirtes; Kun Zhang 001 (NeurIPS, 2024)

Estimating Sense of Agency from Behavioral Logs: Toward a Just-in-Time Adaptive Intervention System. - Ryunosuke Togawa; Roberto Legaspi; Yasutaka Nishimura; Akihiro Miyamamoto; Bo Yang 057; Eriko Sugisaki; Kazushi Ikeda; Nao Kobayashi; Yasushi Naruse (PERSUASIVE, 2024)

Counterfactual Reasoning Using Predicted Latent Personality Dimensions for Optimizing Persuasion Outcome. - Donghuo Zeng; Roberto Sebastian Legaspi; Yuewen Sun; Xinshuai Dong; Kazushi Ikeda; Peter Spirtes; Kun Zhang 001 (PERSUASIVE, 2024)

A Recursive Framework for Evaluating Moments Using Zero-Suppressed Binary Decision Diagrams. - Brian Godwin S. Lim; Renzo Roel P. Tan; Jun Kawahara; Shin-ichi Minato; Kazushi Ikeda (IEEE Access, 2024)

Zero-shot Persuasive Chatbots with LLM-Generated Strategies and Information Retrieval. - Kazuaki Furumai; Roberto Legaspi; Julio Vizcarra; Yudai Yamazaki; Yasutaka Nishimura; Sina J. Semnani; Kazushi Ikeda; Weiyan Shi; Monica S. Lam (CoRR, 2024)

Sensor event sequence prediction for proactive smart home: A GPT2-based autoregressive language model approach. - Naoto Takeda; Roberto Legaspi; Yasutaka Nishimura; Kazushi Ikeda; Atsunori Minamikawa; Thomas Plötz; Sonia Chernova (J. Ambient Intell. Smart Environ., 2024)

The Impact of Dialogue with ChatGPT and Extroversion on Mental State. - Shunichi Tahara; Eriko Sugisaki; Keiji Yasuda; Akihiro Miyamoto; Motoyuki Sanada; Kae Nakajima; Kazushi Ikeda; Nao Kobayashi; Yasushi Naruse (HCI (67), 2025)

Metric Learning with Progressive Self-Distillation for Audio-Visual Embedding Learning. - Donghuo Zeng; Kazushi Ikeda (ICASSP, 2025)

Generative Framework for Personalized Persuasion: Inferring Causal, Counterfactual, and Latent Knowledge. - Donghuo Zeng; Roberto Legaspi; Yuewen Sun; Xinshuai Dong; Kazushi Ikeda; Peter Spirtes; Kun Zhang 001 (UMAP, 2025)

Geo-distributed multi-cloud data centre storage tiering and selection with zero-suppressed binary decision diagrams. - Brian Godwin S. Lim; Miguel Saavedra; Renzo Roel P. Tan; Kazushi Ikeda; William Yu (Int. J. Cloud Comput., 2025)

Contextualized Messages Boost Graph Representations. - Brian Godwin Lim; Galvin Brice Sy Lim; Renzo Roel Tan; Kazushi Ikeda (Trans. Mach. Learn. Res., 2025)

Causal Discovery and Counterfactual Reasoning to Optimize Persuasive Dialogue Policies. - Donghuo Zeng; Roberto Legaspi; Yuewen Sun; Xinshuai Dong; Kazushi Ikeda; Peter Spirtes; Kun Zhang 001 (CoRR, 2025)

Path survival reliabilities as measures of reliability for lifeline utility networks. - Brian Godwin Lim; Renzo Roel Tan; Richard de Jesus; Lessandro Estelito Garciano; Agnes D. Garciano; Kazushi Ikeda (J. Comb. Optim., 2025)

Variance control for black box variational inference using the James-Stein estimator. - Dominic B. Dayta; Takatomi Kubo; Kazushi Ikeda (Artif. Life Robotics, 2025)