Kazushi Ikeda

Orcid: 0000-0003-3330-6121

According to our database1, Kazushi Ikeda authored at least 174 papers between 1991 and 2024.

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Bibliography

2024
Counterfactual Reasoning Using Predicted Latent Personality Dimensions for Optimizing Persuasion Outcome.
Proceedings of the Persuasive Technology - 19th International Conference, 2024

Estimating Sense of Agency from Behavioral Logs: Toward a Just-in-Time Adaptive Intervention System.
Proceedings of the Persuasive Technology - 19th International Conference, 2024

2023
Engineering a data processing pipeline for an ultra-lightweight lensless fluorescence imaging device with neuronal-cluster resolution.
Artif. Life Robotics, August, 2023

Negative emotion recognition using multimodal physiological signals for advanced driver assistance systems.
Artif. Life Robotics, May, 2023

Learning to mimic programmers gaze behavior for program comprehension improvement.
Artif. Life Robotics, May, 2023

Deep MAnTra: deep learning-based multi-animal tracking for Japanese macaques.
Artif. Life Robotics, February, 2023

Deep Learning Pipeline for Spotting Macro- and Micro-expressions in Long Video Sequences Based on Action Units and Optical Flow.
Pattern Recognit. Lett., January, 2023

Two-Stage Triplet Loss Training with Curriculum Augmentation for Audio-Visual Retrieval.
CoRR, 2023

Topic-switch adapted Japanese Dialogue System based on PLATO-2.
CoRR, 2023

Composing Groups in Collaborative Learning by Pair Personality Differences.
Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization, 2023

Extraction of Important Temporal Order for eXplainable AI on Time-series data.
Proceedings of the IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, 2023

Triplet Loss with Curriculum Learning for Audio-Visual Retrieval.
Proceedings of the IEEE International Symposium on Multimedia, 2023

Sensor Event Sequence Prediction for Proactive Smart Home Support Using Autoregressive Language Model.
Proceedings of the 19th International Conference on Intelligent Environments, 2023

Temporal Attention for Robust Multiple Object Pose Tracking.
Proceedings of the Neural Information Processing - 30th International Conference, 2023

The Pancake Graph of Order 10 Is 4-Colorable.
Proceedings of the 2023 6th International Conference on Mathematics and Statistics, 2023

ALLFA: Active Learning Through Label and Feature Augmentation.
Proceedings of the International Conference on Machine Learning and Applications, 2023

Detecting Dialogue Hallucination Using Graph Neural Networks.
Proceedings of the International Conference on Machine Learning and Applications, 2023

Do I Have Your Attention: A Large Scale Engagement Prediction Dataset and Baselines.
Proceedings of the 25th International Conference on Multimodal Interaction, 2023

EmotiW 2023: Emotion Recognition in the Wild Challenge.
Proceedings of the 25th International Conference on Multimodal Interaction, 2023

2022
Output Power Characterization of Flexible Thermoelectric Power Generators.
IEICE Trans. Electron., October, 2022

Electrocardiogram Measurement and Emotion Estimation of Working Dogs.
IEEE Robotics Autom. Lett., 2022

Face-mask-aware Facial Expression Recognition based on Face Parsing and Vision Transformer.
Pattern Recognit. Lett., 2022

Multi-level attention pooling for graph neural networks: Unifying graph representations with multiple localities.
Neural Networks, 2022

Compositionality-Aware Graph2Seq Learning.
CoRR, 2022

Complete Cross-triplet Loss in Label Space for Audio-visual Cross-modal Retrieval.
Proceedings of the IEEE International Symposium on Multimedia, 2022

JaSenpai: Towards an Adaptive and Social Interactive E-Learning Platform for Japanese Language Learning.
Proceedings of the International Conference on Advanced Learning Technologies, 2022

2021
Solving the Shepherding Problem: Imitation Learning Can Acquire the Switching Algorithm.
Proceedings of the International Joint Conference on Neural Networks, 2021

Toward the Perfect Stroke: A Multimodal Approach for Table Tennis Stroke Evaluation.
Proceedings of the Thirteenth International Conference on Mobile Computing and Ubiquitous Network, 2021

Leveraging Longitudinal Lifelog Data Using Survival Models for Predicting Risk of Relapse among Patients with Depression in Remission.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Mathematical Model of a Horse and the Rider during a Jump.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2021

Evaluation of the Effect of Transfer Learning to Multi-Instance Detection of Monkeys.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2021

2020
Data-Efficient Framework for Personalized Physiotherapy Feedback.
Frontiers Comput. Sci., 2020

Extraction of Hierarchical Behavior Patterns Using a Non-parametric Bayesian Approach.
Frontiers Comput. Sci., 2020

Evaluating Mental State of Drivers in Automated Driving Using Heart Rate Variability towards Feasible Request-to-Intervene.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

Hindsight-Combined and Hindsight-Prioritized Experience Replay.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

Feasibility of focal brain cooling for partial epilepsy with secondary generalization: A computational study<sup>*</sup>.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Mathematical Model of Horse and Rider Interaction during Horse Jumping.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2020

Quantification Analysis of Behavioral Changes after Sciatic Nerve Ligation in Rats.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2020

2019

Efficient learning with robust gradient descent.
Mach. Learn., 2019

Direct Log-Density Gradient Estimation with Gaussian Mixture Models and Its Application to Clustering.
IEICE Trans. Inf. Syst., 2019

Editorial.
Comput. Intell., 2019

Data-efficient learning of robotic clothing assistance using Bayesian Gaussian process latent variable model.
Adv. Robotics, 2019

Forecasting Mood Using Smartphone and SNS Data.
Proceedings of the 20th International Workshop on Mobile Computing Systems and Applications, 2019

Empathic dialogue system based on emotions extracted from tweets.
Proceedings of the 24th International Conference on Intelligent User Interfaces, 2019

Skipping Two Layers in ResNet Makes the Generalization Gap Smaller than Skipping One or No Layer.
Proceedings of the Recent Advances in Big Data and Deep Learning, 2019

Effects of Skip-Connection in ResNet and Batch-Normalization on Fisher Information Matrix.
Proceedings of the Recent Advances in Big Data and Deep Learning, 2019

Better generalization with less data using robust gradient descent.
Proceedings of the 36th International Conference on Machine Learning, 2019

Characterizing Strategic Contributions of Physical Therapy to Natural Standing Motion in the Muscle Synergy Space.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

Statistical analysis on characteristic whisker movements observed in reward processing.
Proceedings of the 2019 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2019

Interaction Analysis in Hunting Behavior of Finless Porpoises.
Proceedings of the 2019 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2019

Towards Generation of Visual Attention Map for Source Code.
Proceedings of the 2019 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2019

ResNet and Batch-normalization Improve Data Separability.
Proceedings of The 11th Asian Conference on Machine Learning, 2019

2018
Preface.
Neural Process. Lett., 2018

Merging weighted SVMs for parallel incremental learning.
Neural Networks, 2018

Non-monotonic convergence of online learning algorithms for perceptrons with noisy teacher.
Neural Networks, 2018

Predicting the Occurrence of Life Events from User's Tweet History.
Proceedings of the 12th IEEE International Conference on Semantic Computing, 2018

Anomaly Detection of Roads from Driving Data Using a Statistical Discrepancy Measure.
Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

Online Max-flow Learning via Augmenting and De-augmenting Path.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Feature Selection Using Distance from Classification Boundary and Monte Carlo Simulation.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

Utilizing Crowdsourced Asynchronous Chat for Efficient Collection of Dialogue Dataset.
Proceedings of the Sixth AAAI Conference on Human Computation and Crowdsourcing, 2018

A Design of IoT-Based Searching System for Displaying Victim's Presence Area.
Proceedings of the 2018 IEEE 42nd Annual Computer Software and Applications Conference, 2018

2017
Bayesian Nonparametric Learning of Cloth Models for Real-Time State Estimation.
IEEE Trans. Robotics, 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.
PLoS Comput. Biol., 2017

Robust regression using biased objectives.
Mach. Learn., 2017

Roles of pre-training in deep neural networks from information theoretical perspective.
Neurocomputing, 2017

Online portfolio selection based on the posts of winners and losers in stock microblogs.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

A Hierarchical Mixture Density Network.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

A Bootstrap Method for Automatic Rule Acquisition on Emotion Cause Extraction.
Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017

Application of SsVGMM to medical data - classification with novelty detection.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

Crowdsourcing GO: Effect of Worker Situation on Mobile Crowdsourcing Performance.
Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, 2017

Real-time emotional state estimation system for Canines based on heart rate variability.
Proceedings of the IEEE International Conference on Cyborg and Bionic Systems, 2017

2016
Minimum Proper Loss Estimators for Parametric Models.
IEEE Trans. Signal Process., 2016

Modeling and Prediction of Driving Behaviors Using a Nonparametric Bayesian Method With AR Models.
IEEE Trans. Intell. Veh., 2016

Extracting Search Query Patterns via the Pairwise Coupled Topic Model.
Proceedings of the Ninth ACM International Conference on Web Search and Data Mining, 2016

Distributed incremental wLPSVM learning.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

A reinforcement learning approach to the shepherding task using SARSA.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

A Brief Review of Spin-Glass Applications in Unsupervised and Semi-supervised Learning.
Proceedings of the Neural Information Processing - 23rd International Conference, 2016

Analysis of effective sit-to-stand therapy using kinematic synergies.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

Pay It Backward: Per-Task Payments on Crowdsourcing Platforms Reduce Productivity.
Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems, 2016

Steering behavior model of drivers on driving simulator through visual information.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2016

Canine emotional states assessment with heart rate variability.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2016

2015
Variational Inference With ARD Prior for NIRS Diffuse Optical Tomography.
IEEE Trans. Neural Networks Learn. Syst., 2015

Variational Bayesian Inference Algorithms for Infinite Relational Model of Network Data.
IEEE Trans. Neural Networks Learn. Syst., 2015

Bayesian Cell Force Estimation Considering Force Directions.
Neural Process. Lett., 2015

An efficient sampling algorithm with adaptations for Bayesian variable selection.
Neural Networks, 2015

Assigning Keywords to Automatically Extracted Personal Cliques from Social Networks.
J. Inf. Process., 2015

Cloth dynamics modeling in latent spaces and its application to robotic clothing assistance.
Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015

Information Theoretical Analysis of Deep Learning Representations.
Proceedings of the Neural Information Processing - 22nd International Conference, 2015

Location robust estimation of predictive Weibull parameters in short-term wind speed forecasting.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Modeling dynamic high-DOF finger postures from surface EMG using nonlinear synergies in latent space representation.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

In-home measurement system of user's motion and center of pressure.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2015

2014
Towards excluding redundancy in electrode grid for automatic speech recognition based on surface EMG.
Neurocomputing, 2014

Feature Based Sentiment Analysis of Tweets in Multiple Languages.
Proceedings of the Web Information Systems Engineering - WISE 2014, 2014

Birdsong analysis using beta process hidden Markov model.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2014

Prediction of driving behaviors in intersections based on a supervised dimension reduction considering locality.
Proceedings of the 17th International IEEE Conference on Intelligent Transportation Systems, 2014

Forecasting in wind energy applications with site-adaptive Weibull estimation.
Proceedings of the IEEE International Conference on Acoustics, 2014

2013
Adaptive Markov chain Monte Carlo for auxiliary variable method and its application to parallel tempering.
Neural Networks, 2013

Twitter user profiling based on text and community mining for market analysis.
Knowl. Based Syst., 2013

Automatic Labeling of Training Data for Collecting Tweets for Ambiguous TV Program Titles.
Proceedings of the International Conference on Social Computing, SocialCom 2013, 2013

Probability of Perfect Reconstruction of Pareto Set in Multi-Objective Optimization.
Proceedings of the Neural Information Processing - 20th International Conference, 2013

Towards prediction of driving behavior via basic pattern discovery with BP-AR-HMM.
Proceedings of the IEEE International Conference on Acoustics, 2013

Applying Bayesian nonparametrics to non-homogeneous driving operation data towards prediction.
Proceedings of the 21st European Signal Processing Conference, 2013

Experimental comparison of classification methods for key kinase identification for neurite elongation.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

Shift invariant feature extraction for sEMG-based speech recognition with electrode grid.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

Visual fixation patterns of artists and novices in abstract painting observations.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2013

Evolutionary programming based recommendation system for online shopping.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2013

A comparative study of time series modeling for driving behavior towards prediction.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2013

Early Detection Method of Service Quality Reduction Based on Linguistic and Time Series Analysis of Twitter.
Proceedings of the 27th International Conference on Advanced Information Networking and Applications Workshops, 2013

2012
Statistical properties of support vector machines with forgetting factor.
Neural Networks, 2012

Subsurface imaging for anti-personal mine detection by Bayesian super-resolution with a smooth-gap prior.
Artif. Life Robotics, 2012

Convergence Properties of Perceptron Learning with Noisy Teacher.
Proceedings of the Intelligent Science and Intelligent Data Engineering, 2012

A statistical analysis of soft-margin support vector machines for non-separable problems.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

An Estimation of Cell Forces with Hierarchical Bayes Approach Considering Cell Morphology.
Proceedings of the Neural Information Processing - 19th International Conference, 2012

Packet loss rate estimation with active and passive measurements.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2012

2011
Editorial: One Year as EiC, and Editorial-Board Changes at TNN.
IEEE Trans. Neural Networks, 2011

Divergence measures and a general framework for local variational approximation.
Neural Networks, 2011

Exponential family tensor factorization: an online extension and applications.
Knowl. Inf. Syst., 2011

ALMware: A middleware for application layer multicast protocols.
Comput. Commun., 2011

Feature Selection for Vowel Recognition Based on Surface Electromyography Derived with Multichannel Electrode Grid.
Proceedings of the Intelligent Science and Intelligent Data Engineering, 2011

Phase diagrams of a variational Bayesian approach with ARD prior in NIRS-DOT.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

An Online Human Activity Recognizer for Mobile Phones with Accelerometer.
Proceedings of the Neural Information Processing - 18th International Conference, 2011

An Automatic Music Transcription Based on Translation of Spectrum and Sound Path Estimation.
Proceedings of the Neural Information Processing - 18th International Conference, 2011

2010
Detection of Hazardous Information Based on HTML Elements.
Proceedings of the 2010 IEEE RIVF International Conference on Computing & Communication Technologies, 2010

Exponential Family Tensor Factorization for Missing-Values Prediction and Anomaly Detection.
Proceedings of the ICDM 2010, 2010

Theoretical Analysis of Cross-Validation(CV)-EM Algorithm.
Proceedings of the Artificial Neural Networks - ICANN 2010, 2010

Hazardous Document Detection Based on Dependency Relations and Thesaurus.
Proceedings of the AI 2010: Advances in Artificial Intelligence, 2010

2009
Prediction of human eye movements in facial discrimination tasks.
Artif. Life Robotics, 2009

Group feature extraction based on matrix factorization from long-range office-logging data.
Artif. Life Robotics, 2009

Estimation of Driving Phase by Modeling Brake Pressure Signals.
Proceedings of the Neural Information Processing, 16th International Conference, 2009

Unsupervised Text Normalization Approach for Morphological Analysis of Blog Documents.
Proceedings of the AI 2009: Advances in Artificial Intelligence, 2009

2008
Amplify-and-forward cooperative diversity schemes for multicarrier systems.
IEEE Trans. Wirel. Commun., 2008

D-Sense: An Integrated Environment for Algorithm Design and Protocol Implementation in Wireless Sensor Networks.
Proceedings of the Management of Converged Multimedia Networks and Services, 2008

Information Geometry of Interspike Intervals in Spiking Neurons with Refractories.
Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008

Online Multibody Factorization Based on Bayesian Principal Component Analysis of Gaussian Mixture Models.
Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008

A Support Vector Machine with Forgetting Factor and Its Statistical Properties.
Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008

Stability Oriented Overlay Multicast for Multimedia Streaming in Multiple Source Context.
Proceedings of IEEE International Conference on Communications, 2008

2007
Incremental support vector machines and their geometrical analyses.
Neurocomputing, 2007

A Network Analysis of Genetic Algorithms.
IEICE Trans. Inf. Syst., 2007

Information Geometry and Information Theory in Machine Learning.
Proceedings of the Neural Information Processing, 14th International Conference, 2007

An Apporoach to the Learning Curves of an Incremental Support Vector Machines.
Proceedings of the IEEE Symposium on Foundations of Computational Intelligence, 2007

2006
A statistical property of multiagent learning based on Markov decision process.
IEEE Trans. Neural Networks, 2006

Effects of kernel function on Nu support vector machines in extreme cases.
IEEE Trans. Neural Networks, 2006

The asymptotic equipartition property in reinforcement learning and its relation to return maximization.
Neural Networks, 2006

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

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

On Geometric Structure of Quasi-Additive Learning Algorithms.
Proceedings of the International Joint Conference on Neural Networks, 2006

On Properties of Genetic Operators from a Network Analytical Viewpoint.
Proceedings of the Neural Information Processing, 13th International Conference, 2006

2005
An asymptotic statistical analysis of support vector machines with soft margins.
Neural Networks, 2005

Geometrical Properties of Nu Support Vector Machines with Different Norms.
Neural Comput., 2005

Information Geometry of Interspike Intervals in Spiking Neurons.
Neural Comput., 2005

On the Effects of Domain Size and Complexity in Empirical Distribution of Reinforcement Learning.
IEICE Trans. Inf. Syst., 2005

Effects of norms on learning properties of support vector machines.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

Stochastic Processes for Return Maximization in Reinforcement Learning.
Proceedings of the Artificial Neural Networks: Formal Models and Their Applications, 2005

An Information Geometrical Analysis of Neural Spike Sequences.
Proceedings of the Artificial Neural Networks: Biological Inspirations, 2005

2004
A new criterion using information gain for action selection strategy in reinforcement learning.
IEEE Trans. Neural Networks, 2004

Geometry and learning curves of kernel methods with polynomial kernels.
Syst. Comput. Jpn., 2004

An Asymptotic Statistical Theory of Polynomial Kernel Methods.
Neural Comput., 2004

Boundedness of Input Space and Effective Dimension of Feature Space in Kernel Methods.
IEICE Trans. Inf. Syst., 2004

Asymptotic equipartition property on empirical sequence in reinforcement learning.
Proceedings of the IASTED International Conference on Neural Networks and Computational Intelligence, 2004

2003
A numerically stable fast Newton-type adaptive filter based on order recursive least squares algorithm.
IEEE Trans. Signal Process., 2003

Convergence analyses of stereo acoustic echo cancelers with preprocessing.
IEEE Trans. Signal Process., 2003

A synfire chain in layered coincidence detectors with random synaptic delays.
Neural Networks, 2003

Temporal Difference Coding in Reinforcement Learning.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2003

Generalization Error Analysis for Polynomial Kernel Methods - Algebraic Geometrical Approach.
Proceedings of the Artificial Neural Networks and Neural Information Processing, 2003

2002
Convergence analysis of block orthogonal projection and affine projection algorithms.
Signal Process., 2002

1999
Convergence properties of the block orthogonal projection algorithm.
Proceedings of the 1999 IEEE International Conference on Acoustics, 1999

1998
Block-Size Optimization of Block Orthogonal Projection Algorithm for Linear Dichotomies.
Proceedings of the Fifth International Conference on Neural Information Processing, 1998

A numerically stable fast Newton type adaptive filter based on order update fast least squares algorithm.
Proceedings of the 1998 IEEE International Conference on Acoustics, 1998

1997
The effects of quantization on the backpropagation learning.
Proceedings of International Conference on Neural Networks (ICNN'97), 1997

1996
A model of dynamic associative memory.
Proceedings of International Conference on Neural Networks (ICNN'96), 1996

The probability distribution of parameters learned with the EM algorithm.
Proceedings of International Conference on Neural Networks (ICNN'96), 1996

1995
Topology analysis of data space using self-organizing feature map.
Proceedings of International Conference on Neural Networks (ICNN'95), Perth, WA, Australia, November 27, 1995

1991
Three-dimensional resist process simulator PEACE (photo and electron beam lithography analyzing computer engineering system).
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 1991


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