Byoung-Tak Zhang

Orcid: 0000-0001-9890-0389

According to our database1, Byoung-Tak Zhang authored at least 312 papers between 1990 and 2024.

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Bibliography

2024
Zero-Shot Vision-and-Language Navigation with Collision Mitigation in Continuous Environment.
CoRR, 2024

Efficient Monte Carlo Tree Search via On-the-Fly State-Conditioned Action Abstraction.
CoRR, 2024

ActiveNeuS: Active 3D Reconstruction using Neural Implicit Surface Uncertainty.
CoRR, 2024

Unsupervised Dynamics Prediction with Object-Centric Kinematics.
CoRR, 2024

Socratic Planner: Inquiry-Based Zero-Shot Planning for Embodied Instruction Following.
CoRR, 2024

Continual Vision-and-Language Navigation.
CoRR, 2024

Visual Hindsight Self-Imitation Learning for Interactive Navigation.
IEEE Access, 2024

Multi-Object RANSAC: Efficient Plane Clustering Method in a Clutter.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

PROGrasp: Pragmatic Human-Robot Communication for Object Grasping.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

HAPFI: History-Aware Planning based on Fused Information.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Fine-Grained Causal Dynamics Learning with Quantization for Improving Robustness in Reinforcement Learning.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Unveiling the Significance of Toddler-Inspired Reward Transition in Goal-Oriented Reinforcement Learning.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

DUEL: Duplicate Elimination on Active Memory for Self-Supervised Class-Imbalanced Learning.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Video Turing Test: A first step towards human-level AI.
AI Mag., December, 2023

PGA: Personalizing Grasping Agents with Single Human-Robot Interaction.
CoRR, 2023

Overcoming Weak Visual-Textual Alignment for Video Moment Retrieval.
CoRR, 2023

L-SA: Learning Under-Explored Targets in Multi-Target Reinforcement Learning.
CoRR, 2023

GVCCI: Lifelong Learning of Visual Grounding for Language-Guided Robotic Manipulation.
IROS, 2023

EXOT: Exit-aware Object Tracker for Safe Robotic Manipulation of Moving Object.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Robust Map Fusion with Visual Attention Utilizing Multi-agent Rendezvous.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Neural Collage Transfer: Artistic Reconstruction via Material Manipulation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Learning Geometry-aware Representations by Sketching.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

The Dialog Must Go On: Improving Visual Dialog via Generative Self-Training.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

On Discovery of Local Independence over Continuous Variables via Neural Contextual Decomposition.
Proceedings of the Conference on Causal Learning and Reasoning, 2023

2022
Editorial: Task planning and motion control problems of service robots in human-centered environments.
Intell. Serv. Robotics, 2022

DUEL: Adaptive Duplicate Elimination on Working Memory for Self-Supervised Learning.
CoRR, 2022

SGRAM: Improving Scene Graph Parsing via Abstract Meaning Representation.
CoRR, 2022

Learning to Write with Coherence From Negative Examples.
CoRR, 2022

From Scratch to Sketch: Deep Decoupled Hierarchical Reinforcement Learning for Robotic Sketching Agent.
CoRR, 2022

On the Importance of Critical Period in Multi-stage Reinforcement Learning.
CoRR, 2022

Cross-Modal Alignment Learning of Vision-Language Conceptual Systems.
CoRR, 2022

Team Tidyboy at the WRS 2020: a modular software framework for home service robots.
Adv. Robotics, 2022

SelecMix: Debiased Learning by Contradicting-pair Sampling.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Robust Imitation via Mirror Descent Inverse Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

PlaceNet: Neural Spatial Representation Learning with Multimodal Attention.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

From Scratch to Sketch: Deep Decoupled Hierarchical Reinforcement Learning for Robotic Sketching Agent.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Modal-specific Pseudo Query Generation for Video Corpus Moment Retrieval.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Improving Robustness to Texture Bias via Shape-focused Augmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

Smooth-Swap: A Simple Enhancement for Face-Swapping with Smoothness.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Hypergraph Transformer: Weakly-Supervised Multi-hop Reasoning for Knowledge-based Visual Question Answering.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
Leveraging node neighborhoods and egograph topology for better bot detection in social graphs.
Soc. Netw. Anal. Min., 2021

Toward a Human-Level Video Understanding Intelligence.
CoRR, 2021

Mounting Video Metadata on Transformer-based Language Model for Open-ended Video Question Answering.
CoRR, 2021

CogME: A Novel Evaluation Metric for Video Understanding Intelligence.
CoRR, 2021

Learning task-agnostic representation via toddler-inspired learning.
CoRR, 2021

M2FN: Multi-step modality fusion for advertisement image assessment.
Appl. Soft Comput., 2021

RoboCup@Home 2021 Domestic Standard Platform League Winner.
Proceedings of the RoboCup 2021: Robot World Cup XXIV, 2021

Goal-Aware Cross-Entropy for Multi-Target Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Multimodal Anomaly Detection based on Deep Auto-Encoder for Object Slip Perception of Mobile Manipulation Robots.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Message Passing Adaptive Resonance Theory for Online Active Semi-supervised Learning.
Proceedings of the 38th International Conference on Machine Learning, 2021

Toddler-Guidance Learning: Impacts of Critical Period on Multimodal AI Agents.
Proceedings of the ICMI '21: International Conference on Multimodal Interaction, 2021

Co-Attentional Transformers for Story-Based Video Understanding.
Proceedings of the IEEE International Conference on Acoustics, 2021

Reasoning Visual Dialog with Sparse Graph Learning and Knowledge Transfer.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Devil's Advocate: Novel Boosting Ensemble Method from Psychological Findings for Text Classification.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Passive Versus Active: Frameworks of Active Learning for Linking Humans to Machines.
Proceedings of the 43rd Annual Meeting of the Cognitive Science Society, 2021

Attend What You Need: Motion-Appearance Synergistic Networks for Video Question Answering.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

DramaQA: Character-Centered Video Story Understanding with Hierarchical QA.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Message Passing Adaptive Resonance Theory for Online Active Semi-supervised Learning.
CoRR, 2020

Human-Like Active Learning: Machines Simulating the Human Learning Process.
CoRR, 2020

Pattern Denoising in Molecular Associative Memory using Pairwise Markov Random Field Models.
CoRR, 2020

DramaQA: Character-Centered Video Story Understanding with Hierarchical QA.
CoRR, 2020

DialGraph: Sparse Graph Learning Networks for Visual Dialog.
CoRR, 2020

Visual Perception Framework for an Intelligent Mobile Robot.
Proceedings of the 17th International Conference on Ubiquitous Robots, 2020

Label Propagation Adaptive Resonance Theory for Semi-Supervised Continuous Learning.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Hypergraph Attention Networks for Multimodal Learning.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Hierarchical Color Learning in Convolutional Neural Networks.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Effect of Active Pre-Learning Activities on Humans and Machines.
Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

Cut-Based Graph Learning Networks to Discover Compositional Structure of Sequential Video Data.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Ruminating Word Representations with Random Noised Masker.
CoRR, 2019

Which Ads to Show? Advertisement Image Assessment with Auxiliary Information via Multi-step Modality Fusion.
CoRR, 2019

Compositional Structure Learning for Sequential Video Data.
CoRR, 2019

Encoder-Powered Generative Adversarial Networks.
CoRR, 2019

Simulating Problem Difficulty in Arithmetic Cognition Through Dynamic Connectionist Models.
CoRR, 2019

Constructing Hierarchical Q&A Datasets for Video Story Understanding.
CoRR, 2019

Visualizing Semantic Structures of Sequential Data by Learning Temporal Dependencies.
CoRR, 2019

Data Interpolations in Deep Generative Models under Non-Simply-Connected Manifold Topology.
CoRR, 2019

Bayesian evolutionary hypernetworks for interpretable learning from high-dimensional data.
Appl. Soft Comput., 2019

WithDorm: Dormitory Solution for Linking Roommates.
Proceedings of the 21st International Conference on Human-Computer Interaction with Mobile Devices and Services, 2019

Spatial Perception by Object-Aware Visual Scene Representation.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Dual Attention Networks for Visual Reference Resolution in Visual Dialog.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Problem Difficulty in Arithmetic Cognition: Humans and Connectionist Models.
Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

Modeling Delay Discounting using Gaussian Process with Active Learning.
Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

CoDraw: Collaborative Drawing as a Testbed for Grounded Goal-driven Communication.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
Generative Local Metric Learning for Nearest Neighbor Classification.
IEEE Trans. Pattern Anal. Mach. Intell., 2018

Fluid Dynamic Models for Bhattacharyya-Based Discriminant Analysis.
IEEE Trans. Pattern Anal. Mach. Intell., 2018

GLAC Net: GLocal Attention Cascading Networks for Multi-image Cued Story Generation.
CoRR, 2018

Answerer in Questioner's Mind for Goal-Oriented Visual Dialogue.
CoRR, 2018

Identifying DNA Methylation Modules Associated with a Cancer by Probabilistic Evolutionary Learning.
IEEE Comput. Intell. Mag., 2018

Answerer in Questioner's Mind: Information Theoretic Approach to Goal-Oriented Visual Dialog.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Bilinear Attention Networks.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Robust Human Following by Deep Bayesian Trajectory Prediction for Home Service Robots.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Temporal Attention Mechanism with Conditional Inference for Large-Scale Multi-label Video Classification.
Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

Multimodal Dual Attention Memory for Video Story Question Answering.
Proceedings of the Computer Vision - ECCV 2018, 2018

Lifelong Learning with the Feedback-loop between Emotions and Actions via Internal Reward.
Proceedings of the Postproceedings of the 9th Annual International Conference on Biologically Inspired Cognitive Architectures, 2018

Perception-Action-Learning System for Mobile Social-Service Robots Using Deep Learning.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Dual-memory neural networks for modeling cognitive activities of humans via wearable sensors.
Neural Networks, 2017

Visual Explanations from Hadamard Product in Multimodal Deep Networks.
CoRR, 2017

CoDraw: Visual Dialog for Collaborative Drawing.
CoRR, 2017

Micro-Objective Learning : Accelerating Deep Reinforcement Learning through the Discovery of Continuous Subgoals.
CoRR, 2017

Overcoming Catastrophic Forgetting by Incremental Moment Matching.
CoRR, 2017

In vitro molecular machine learning algorithm via symmetric internal loops of DNA.
Biosyst., 2017

Overcoming Catastrophic Forgetting by Incremental Moment Matching.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

DeepStory: Video Story QA by Deep Embedded Memory Networks.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Criteria for Human-Compatible AI in Two-Player Vision-Language Tasks.
Proceedings of the Linguistic and Cognitive Approaches To Dialog Agents Workshop co-located with the 26th International Joint Conference on Artificial Intelligence, 2017

Hadamard Product for Low-rank Bilinear Pooling.
Proceedings of the 5th International Conference on Learning Representations, 2017

Extremely Sparse Deep Learning Using Inception Modules with Dropfilters.
Proceedings of the 14th IAPR International Conference on Document Analysis and Recognition, 2017

Into the Colorful World of Webtoons: Through the Lens of Neural Networks.
Proceedings of the 2nd International Workshop on coMics Analysis, 2017

A novel method to monitor human stress states using ultra-short-term ECG spectral feature.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

Molecular Associative Memory with Spatial Auto-logistic Model for Pattern Recall.
Proceedings of the 8th Annual International Conference on Biologically Inspired Cognitive Architectures, 2017

Multi-Focus Attention Network for Efficient Deep Reinforcement Learning.
Proceedings of the Workshops of the The Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Whole-Body Balancing Walk Controller for Position Controlled Humanoid Robots.
Int. J. Humanoid Robotics, 2016

Special issue: First International Conference on Big Data and Smart Computing (BigComp2014).
Data Knowl. Eng., 2016

Ways of Conditioning Generative Adversarial Networks.
CoRR, 2016

Generating Images Part by Part with Composite Generative Adversarial Networks.
CoRR, 2016

Human Body Orientation Estimation using Convolutional Neural Network.
CoRR, 2016

Humans and Machines in the Evolution of AI in Korea.
AI Mag., 2016

Multimodal Residual Learning for Visual QA.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Dual-Memory Deep Learning Architectures for Lifelong Learning of Everyday Human Behaviors.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

DeepSchema: Automatic Schema Acquisition from Wearable Sensor Data in Restaurant Situations.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

2015
Consensus Analysis and Modeling of Visual Aesthetic Perception.
IEEE Trans. Affect. Comput., 2015

Preface.
Soft Comput., 2015

Team THOR's Entry in the DARPA Robotics Challenge Trials 2013.
J. Field Robotics, 2015

Dual Memory Architectures for Fast Deep Learning of Stream Data via an Online-Incremental-Transfer Strategy.
CoRR, 2015

Molecular learning with DNA kernel machines.
Biosyst., 2015

Deep Learning for the Web.
Proceedings of the 24th International Conference on World Wide Web Companion, 2015

Analyzing Human Behavioral Data to Interact with Restaurant Server Agents.
Proceedings of the 3rd International Conference on Human-Agent Interaction, 2015

Social Network Analysis of TV Drama Characters via Deep Concept Hierarchies.
Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2015

Modeling Situated Conversations for a Child-Care Robot Using Wearable Devices.
Proceedings of the 2015 AAAI Fall Symposia, Arlington, Virginia, USA, November 12-14, 2015, 2015

Pororobot: A Deep Learning Robot That Plays Video Q&A Games.
Proceedings of the 2015 AAAI Fall Symposia, Arlington, Virginia, USA, November 12-14, 2015, 2015

Automated Construction of Visual-Linguistic Knowledge via Concept Learning from Cartoon Videos.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Bayesian evolutionary hypergraph learning for predicting cancer clinical outcomes.
J. Biomed. Informatics, 2014

Effective EEG Connectivity Analysis of Episodic Memory Retrieval.
Proceedings of the 36th Annual Meeting of the Cognitive Science Society, 2014

Uncovering Response Biases in Recommendation.
Proceedings of the Multidisciplinary Workshop on Advances in Preference Handling, 2014

2013
Constructing higher-order miRNA-mRNA interaction networks in prostate cancer via hypergraph-based learning.
BMC Syst. Biol., 2013

Biomolecular computation with molecular beacons for quantitative analysis of target nucleic acids.
Biosyst., 2013

Non-linear molecular pattern classification using molecular beacons with multiple targets.
Biosyst., 2013

Online learning of low dimensional strategies for high-level push recovery in bipedal humanoid robots.
Proceedings of the 2013 IEEE International Conference on Robotics and Automation, 2013

Online Incremental Structure Learning of Sum-Product Networks.
Proceedings of the Neural Information Processing - 20th International Conference, 2013

Estimating Multiple Evoked Emotions from Videos.
Proceedings of the 35th Annual Meeting of the Cognitive Science Society, 2013

Evolutionary concept learning from cartoon videos by multimodal hypernetworks.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013

Information-Theoretic Objective Functions for Lifelong Learning.
Proceedings of the Lifelong Machine Learning, 2013

2012
A probabilistic coevolutionary biclustering algorithm for discovering coherent patterns in gene expression dataset.
BMC Bioinform., 2012

Text-to-image retrieval based on incremental association via multimodal hypernetworks.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2012

Active stabilization of a humanoid robot for impact motions with unknown reaction forces.
Proceedings of the 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2012

Active stabilization of a humanoid robot for real-time imitation of a human operator.
Proceedings of the 12th IEEE-RAS International Conference on Humanoid Robots (Humanoids 2012), Osaka, Japan, November 29, 2012

Sparse Population Code Models of Word Learning in Concept Drift.
Proceedings of the 34th Annual Meeting of the Cognitive Science Society, 2012

Effect of Saliency-Based Masking in Scene Classification.
Proceedings of the 34th Annual Meeting of the Cognitive Science Society, 2012

Neural Correlates of Episodic Memory Formation in Audio-Visual Pairing Tasks.
Proceedings of the 34th Annual Meeting of the Cognitive Science Society, 2012

'Is this right?' or 'Is that wrong?': Evidence from Dynamic Eye-Hand Movement in Decision Making.
Proceedings of the 34th Annual Meeting of the Cognitive Science Society, 2012

Hierarchical Slow-Feature Models of Gesture Conversation.
Proceedings of the 34th Annual Meeting of the Cognitive Science Society, 2012

Evolutionary particle filtering for sequential dependency learning from video data.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

2011
Feature Relevance Network-Based Transfer Learning for Indoor Location Estimation.
IEEE Trans. Syst. Man Cybern. Part C, 2011

Ensemble Learning with Active Example Selection for Imbalanced Biomedical Data Classification.
IEEE ACM Trans. Comput. Biol. Bioinform., 2011

A DNA assembly model of sentence generation.
Biosyst., 2011

Practical bipedal walking control on uneven terrain using surface learning and push recovery.
Proceedings of the 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2011

Learning full body push recovery control for small humanoid robots.
Proceedings of the IEEE International Conference on Robotics and Automation, 2011

Online learning of a full body push recovery controller for omnidirectional walking.
Proceedings of the 11th IEEE-RAS International Conference on Humanoid Robots (Humanoids 2011), 2011

Evolving a population code for multimodal concept learning.
Proceedings of the IEEE Congress on Evolutionary Computation, 2011

A molecular evolutionary algorithm for learning hypernetworks on simulated DNA computers.
Proceedings of the IEEE Congress on Evolutionary Computation, 2011

Mutual information-based evolution of hypernetworks for brain data analysis.
Proceedings of the IEEE Congress on Evolutionary Computation, 2011

2010
Fluid Dynamics Models for Low Rank Discriminant Analysis.
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

In vitro molecular pattern classification via DNA-based weighted-sum operation.
Biosyst., 2010

Visual Query Expansion via Incremental Hypernetwork Models of Image and Text.
Proceedings of the PRICAI 2010: Trends in Artificial Intelligence, 2010

Layered Hypernetwork Models for Cross-Modal Associative Text and Image Keyword Generation in Multimodal Information Retrieval.
Proceedings of the PRICAI 2010: Trends in Artificial Intelligence, 2010

MMG: A Learning Game Platform for Understanding and Predicting Human Recall Memory.
Proceedings of the Knowledge Management and Acquisition for Smart Systems and Services, 2010

Evolutionary layered hypernetworks for identifying microRNA-mRNA regulatory modules.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

Subjective Document Classification Using Network Analysis.
Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2010

Online Learning of Uneven Terrain for Humanoid Bipedal Walking.
Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

2009
EvoOligo: Oligonucleotide Probe Design With Multiobjective Evolutionary Algorithms.
IEEE Trans. Syst. Man Cybern. Part B, 2009

Ensembled support vector machines for human papillomavirus risk type prediction from protein secondary structures.
Comput. Biol. Medicine, 2009

Evolutionary hypernetwork classifiers for protein-proteininteraction sentence filtering.
Proceedings of the Genetic and Evolutionary Computation Conference, 2009

Evolutionary hypernetworks for learning to generate music from examples.
Proceedings of the FUZZ-IEEE 2009, 2009

Gender classification with cortical thickness measurement from magnetic resonance imaging by using a feature selection method based on evolutionary hypernetworks.
Proceedings of the FUZZ-IEEE 2009, 2009

Evolving hypernetwork models of binary time series for forecasting price movements on stock markets.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009

Social Influence Models Based on Starbucks Networks.
Proceedings of the International Conference on Computational Aspects of Social Networks, 2009

Ensemble Learning Based on Active Example Selection for Solving Imbalanced Data Problem in Biomedical Data.
Proceedings of the 2009 IEEE International Conference on Bioinformatics and Biomedicine, 2009

AESNB: Active Example Selection with Naive Bayes Classifier for Learning from Imbalanced Biomedical Data.
Proceedings of the Ninth IEEE International Conference on Bioinformatics and Bioengineering, 2009

Dynamic and Static Influence Models on Starbucks Networks.
Proceedings of the 2009 International Conference on Advances in Social Network Analysis and Mining, 2009

Teaching an Agent by Playing a Multimodal Memory Game: Challenges for Machine Learners and Human Teachers.
Proceedings of the Agents that Learn from Human Teachers, 2009

2008
PIE: an online prediction system for protein-protein interactions from text.
Nucleic Acids Res., 2008

AptaCDSS-E: A classifier ensemble-based clinical decision support system for cardiovascular disease level prediction.
Expert Syst. Appl., 2008

Hypernetworks: A Molecular Evolutionary Architecture for Cognitive Learning and Memory.
IEEE Comput. Intell. Mag., 2008

An evolutionary Monte Carlo algorithm for predicting DNA hybridization.
Biosyst., 2008

Cognitive learning and the multimodal memory game: Toward human-level machine learning.
Proceedings of the International Joint Conference on Neural Networks, 2008

2007
A Global Minimization Algorithm Based on a Geodesic of a Lagrangian Formulation of Newtonian Dynamics.
Neural Process. Lett., 2007

Discovery of microRNA-mRNA modules via population-based probabilistic learning.
Bioinform., 2007

Evolutionary hypernetwork models for aptamer-based cardiovascular disease diagnosis.
Proceedings of the Genetic and Evolutionary Computation Conference, 2007

Random Hypergraph Models of Learning and Memory in Biomolecular Networks: Shorter-Term Adaptability vs. Longer-Term Persistency.
Proceedings of the IEEE Symposium on Foundations of Computational Intelligence, 2007

Dinucleotide Step Parameterization of Pre-miRNAs Using Multi-objective Evolutionary Algorithms.
Proceedings of the Evolutionary Computation, 2007

Multiplex PCR Assay Design by Hybrid Multiobjective Evolutionary Algorithm.
Proceedings of the Evolutionary Multi-Criterion Optimization, 4th International Conference, 2007

Evolving hypernetworks for pattern classification.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

Evolving hypernetwork classifiers for microRNA expression profile analysis.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

Finding Cancer-Related Gene Combinations Using a Molecular Evolutionary Algorithm.
Proceedings of the 7th IEEE International Conference on Bioinformatics and Bioengineering, 2007

2006
ProMiR II: a web server for the probabilistic prediction of clustered, nonclustered, conserved and nonconserved microRNAs.
Nucleic Acids Res., 2006

Adaptive stock trading with dynamic asset allocation using reinforcement learning.
Inf. Sci., 2006

Protein sequence-based risk classification for human papillomaviruses.
Comput. Biol. Medicine, 2006

Construction of phylogenetic trees by kernel-based comparative analysis of metabolic networks.
BMC Bioinform., 2006

miTarget: microRNA target gene prediction using a support vector machine.
BMC Bioinform., 2006

Identification of regulatory modules by co-clustering latent variable models: stem cell differentiation.
Bioinform., 2006

Identification of biochemical networks by S-tree based genetic programming.
Bioinform., 2006

A Tree Kernel-Based Method for Protein-Protein Interaction Mining from Biomedical Literature.
Proceedings of the Knowledge Discovery in Life Science Literature, 2006

Mining Protein Interaction from Biomedical Literature with Relation Kernel Method.
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006

Learning Hierarchical Bayesian Networks for Large-Scale Data Analysis.
Proceedings of the Neural Information Processing, 13th International Conference, 2006

Prediction of Protein Interaction with Neural Network-Based Feature Association Rule Mining.
Proceedings of the Neural Information Processing, 13th International Conference, 2006

Microarray Probe Design Using epsilon-Multi-Objective Evolutionary Algorithms with Thermodynamic Criteria.
Proceedings of the Applications of Evolutionary Computing, 2006

Human Papillomavirus Risk Type Classification from Protein Sequences Using Support Vector Machines.
Proceedings of the Applications of Evolutionary Computing, 2006

Multi-stage Evolutionary Algorithms for Efficient Identification of Gene Regulatory Networks.
Proceedings of the Applications of Evolutionary Computing, 2006

DNA Hypernetworks for Information Storage and Retrieval.
Proceedings of the DNA Computing, 12th International Meeting on DNA Computing, 2006

Text Classifiers Evolved on a Simulated DNA Computer.
Proceedings of the IEEE International Conference on Evolutionary Computation, 2006

Combining Information-Based Supervised and Unsupervised Feature Selection.
Proceedings of the Feature Extraction - Foundations and Applications, 2006

2005
Bayesian model averaging of Bayesian network classifiers over multiple node-orders: application to sparse datasets.
IEEE Trans. Syst. Man Cybern. Part B, 2005

Multiobjective evolutionary optimization of DNA sequences for reliable DNA computing.
IEEE Trans. Evol. Comput., 2005

Bayesian Network Learning with Feature Abstraction for Gene-drug Dependency Analysis.
J. Bioinform. Comput. Biol., 2005

Dynamic Asset Allocation for Stock Trading Optimized by Evolutionary Computation.
IEICE Trans. Inf. Syst., 2005

CrossChip: a system supporting comparative analysis of different generations of Affymetrix arrays.
Bioinform., 2005

Extraction of Gene/Protein Interaction from Text Documents with Relation Kernel.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2005

Prediction of <i>Yeast</i> Protein-Protein Interactions by Neural Feature Association Rule.
Proceedings of the Artificial Neural Networks: Formal Models and Their Applications, 2005

Molecular programming: evolving genetic programs in a test tube.
Proceedings of the Genetic and Evolutionary Computation Conference, 2005

Molecular Learning of wDNF Formulae.
Proceedings of the DNA Computing, 11th International Workshop on DNA Computing, 2005

A Kernel Method for MicroRNA Target Prediction Using Sensible Data and Position-Based Features.
Proceedings of the 2005 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2005

2004
Development, evaluation and benchmarking of simulation software for biomolecule-based computing.
Nat. Comput., 2004

Co-trained support vector machines for large scale unstructured document classification using unlabeled data and syntactic information.
Inf. Process. Manag., 2004

Computational Methods for Identification of Human microRNA Precursors.
Proceedings of the PRICAI 2004: Trends in Artificial Intelligence, 2004

Multi-objective Evolutionary Probe Design Based on Thermodynamic Criteria for HPV Detection.
Proceedings of the PRICAI 2004: Trends in Artificial Intelligence, 2004

Prediction of the Risk Types of Human Papillomaviruses by Support Vector Machines.
Proceedings of the PRICAI 2004: Trends in Artificial Intelligence, 2004

Searching Transcriptional Modules Using Evolutionary Algorithms.
Proceedings of the Parallel Problem Solving from Nature, 2004

Evolutionary Continuous Optimization by Distribution Estimation with Variational Bayesian Independent Component Analyzers Mixture Model.
Proceedings of the Parallel Problem Solving from Nature, 2004

Stock Trading by Modelling Price Trend with Dynamic Bayesian Networks.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2004

PromSearch: A Hybrid Approach to Human Core-Promoter Prediction.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2004

Prediction of Implicit Protein-Protein Interaction by Optimal Associative Feature Mining.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2004

Genetic Mining of DNA Sequence Structures for Effective Classification of the Risk Types of Human Papillomavirus (HPV).
Proceedings of the Neural Information Processing, 11th International Conference, 2004

Two-Step Genetic Programming for Optimization of RNA Common-Structure.
Proceedings of the Applications of Evolutionary Computing, 2004

Dynamic Asset Allocation Exploiting Predictors in Reinforcement Learning Framework.
Proceedings of the Machine Learning: ECML 2004, 2004

A Bayesian Algorithm for In Vitro Molecular Evolution of Pattern Classifiers.
Proceedings of the DNA Computing, 10th International Workshop on DNA Computing, 2004

Efficient Initial Pool Generation for Weighted Graph Problems Using Parallel Overlap Assembly.
Proceedings of the DNA Computing, 10th International Workshop on DNA Computing, 2004

Adaptive Neural Network-Based Clustering of <i>Yeast</i> Protein-Protein Interactions.
Proceedings of the Intelligent Information Technology, 2004

BioPubMiner: Machine Learning Component-Based Biomedical Information Analysis Platform.
Proceedings of the Intelligent Information Technology, 2004

Korean Compound Noun Decomposition Using Syllabic Information Only.
Proceedings of the Computational Linguistics and Intelligent Text Processing, 2004

PubMiner: Machine Learning-Based Text Mining System for Biomedical Information Mining.
Proceedings of the Artificial Intelligence: Methodology, 2004

2003
Self-Organizing Latent Lattice Models for Temporal Gene Expression Profiling.
Mach. Learn., 2003

Word Sense Disambiguation by Learning Decision Trees from Unlabeled Data.
Appl. Intell., 2003

Genetic Mining of HTML Structures for Effective Web-Document Retrieval.
Appl. Intell., 2003

Large Scale Unstructured Document Classification Using Unlabeled Data and Syntactic Information.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2003

An Empirical Study on Dimensionality Optimization in Text Mining for Linguistic Knowledge Acquisition.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2003

Automatic Webpage Classification Enhanced by Unlabeled Data.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2003

Classification of the Risk Types of Human Papillomavirus by Decision Trees.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2003

A Lab-on-a-Chip Module for Bead Separation in DNA-Based Concept Learning.
Proceedings of the DNA Computing, 9th International Workshop on DNA Based Computers, 2003

RCA-Based Detection Methods for Resolution Refutation.
Proceedings of the DNA Computing, 9th International Workshop on DNA Based Computers, 2003

Mining the Risk Types of Human Papillomavirus (HPV) by AdaCost.
Proceedings of the Database and Expert Systems Applications, 14th International Conference, 2003

DNA sequence optimization using constrained multi-objective evolutionary algorithm.
Proceedings of the IEEE Congress on Evolutionary Computation, 2003

Molecular immunocomputing with application to alphabetical pattern recognition mimics the characterization of ABO blood type.
Proceedings of the IEEE Congress on Evolutionary Computation, 2003

Text Chunking by Combining Hand-Crafted Rules and Memory-Based Learning.
Proceedings of the 41st Annual Meeting of the Association for Computational Linguistics, 2003

2002
Behavior Evolution of Autonomous Mobile Robot(AMR) using Genetic Programming Based on Evolvable Hardware.
Int. J. Fuzzy Log. Intell. Syst., 2002

A Bayesian evolutionary approach to the design and learning of heterogeneous neural trees.
Integr. Comput. Aided Eng., 2002

Target Word Selection Using WordNet and Data-Driven Models in Machine Translation.
Proceedings of the PRICAI 2002: Trends in Artificial Intelligence, 2002

Construction of Large-Scale Bayesian Networks by Local to Global Search.
Proceedings of the PRICAI 2002: Trends in Artificial Intelligence, 2002

Topic Extraction from Text Documents Using Multiple-Cause Networks.
Proceedings of the PRICAI 2002: Trends in Artificial Intelligence, 2002

A Boosted Maximum Entropy Model for Learning Text Chunking.
Proceedings of the Machine Learning, 2002

Stock Trading System Using Reinforcement Learning with Cooperative Agents.
Proceedings of the Machine Learning, 2002

Version Space Learning with DNA Molecules.
Proceedings of the DNA Computing, 8th International Workshop on DNA Based Computers, 2002

Temperature Gradient-Based DNA Computing for Graph Problems with Weighted Edges.
Proceedings of the DNA Computing, 8th International Workshop on DNA Based Computers, 2002

DNA Implementation of Theorem Proving with Resolution Refutation in Propositional Logic.
Proceedings of the DNA Computing, 8th International Workshop on DNA Based Computers, 2002

NACST/Seq: A Sequence Design System with Multiobjective Optimization.
Proceedings of the DNA Computing, 8th International Workshop on DNA Based Computers, 2002

A Comparative Evaluation of Data-driven Models in Translation Selection of Machine Translation.
Proceedings of the 19th International Conference on Computational Linguistics, 2002

Evolutionary sequence generation for reliable DNA computing.
Proceedings of the 2002 Congress on Evolutionary Computation, 2002

Evolutionary optimization by distribution estimation with mixtures of factor analyzers.
Proceedings of the 2002 Congress on Evolutionary Computation, 2002

2001
Learning-based Intrasentence Segmentation for Efficient Translation of Long Sentences.
Mach. Transl., 2001

Collocation Dictionary Optimization Using WordNet and <i>k</i>-Nearest Neighbor Learning.
Mach. Transl., 2001

System identification using evolutionary Markov chain Monte Carlo.
J. Syst. Archit., 2001

Personalized Web-Document Filtering Using Reinforcement Learning.
Appl. Artif. Intell., 2001

Bayesian evolutionary algorithms for continuous function optimization.
Proceedings of the 2001 Congress on Evolutionary Computation, 2001

Evolutionary calibration of sensors using genetic programming on evolvable hardware.
Proceedings of the 2001 Congress on Evolutionary Computation, 2001

Convergence properties of Bayesian evolutionary algorithms with population size greater than 1.
Proceedings of the 2001 Congress on Evolutionary Computation, 2001

Evolutionary learning of Web-document structure for information retrieval.
Proceedings of the 2001 Congress on Evolutionary Computation, 2001

Actively searching for committees of RBF networks using Bayesian evolutionary computation.
Proceedings of the 2001 Congress on Evolutionary Computation, 2001

Continuous estimation of distribution algorithms with probabilistic principal component analysis.
Proceedings of the 2001 Congress on Evolutionary Computation, 2001

2000
Bayesian Methods for Efficient Genetic Programming.
Genet. Program. Evolvable Mach., 2000

Evolving complex group behaviors using genetic programming with fitness switching.
Artif. Life Robotics, 2000

Behavior evolution of autonomous mobile robot using genetic programming based on evolvable hardware.
Proceedings of the IEEE International Conference on Systems, 2000

Text filtering by boosting naive bayes classifiers.
Proceedings of the SIGIR 2000: Proceedings of the 23rd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2000

Web-Document Retrieval by Genetic Learning of Importance Factors for HTML Tags.
Proceedings of the International Workshop on Text and Web Mining, 2000

Bayesian Evolutionary Optimization Using Helmholtz Machines.
Proceedings of the Parallel Problem Solving from Nature, 2000

Building Optimal Committees of Genetic Programs.
Proceedings of the Parallel Problem Solving from Nature, 2000

A reinforcement learning agent for personalized information filtering.
Proceedings of the 5th International Conference on Intelligent User Interfaces, 2000

Reducing Parsing Complexity by Intra-Sentence Segmentation based on Maximum Entropy Model.
Proceedings of the Joint SIGDAT Conference on Empirical Methods in Natural Language Processing and Very Large Corpora, 2000

Genetic Programming of Process Decomposition Strategies for Evolvable Hardware.
Proceedings of the 2nd NASA / DoD Workshop on Evolvable Hardware (EH 2000), 2000

Convergence properties of incremental Bayesian evolutionary algorithms with single Markov chains.
Proceedings of the 2000 Congress on Evolutionary Computation, 2000

Bayesian evolutionary algorithms for evolving neural tree models of time series data.
Proceedings of the 2000 Congress on Evolutionary Computation, 2000

Learning user's preferences by analyzing Web-browsing behaviors.
Proceedings of the Fourth International Conference on Autonomous Agents, 2000

Word Sense Disambiguation by Learning from Unlabeled Data.
Proceedings of the 38th Annual Meeting of the Association for Computational Linguistics, 2000

1999
SCAI TREC-8 Experiments.
Proceedings of The Eighth Text REtrieval Conference, 1999

Compound noun decomposition using a Markov model.
Proceedings of Machine Translation Summit VII, 1999

Temporal pattern recognition using a spiking neural network with delays.
Proceedings of the International Joint Conference Neural Networks, 1999

Combining locally trained neural networks by introducing a reject class.
Proceedings of the International Joint Conference Neural Networks, 1999

Forecasting High-Frequency Financial Time Series with Evolutionary Neural Trees: The Case of Heng-Sheng Stock Index.
Proceedings of the International Conference on Artificial Intelligence, 1999

Time series prediction using committee machines of evolutionary neural trees.
Proceedings of the 1999 Congress on Evolutionary Computation, 1999

A Bayesian framework for evolutionary computation.
Proceedings of the 1999 Congress on Evolutionary Computation, 1999

Solving traveling salesman problems using molecular programming.
Proceedings of the 1999 Congress on Evolutionary Computation, 1999

Effects of selection schemes in genetic programming for time series prediction.
Proceedings of the 1999 Congress on Evolutionary Computation, 1999

1998
A Two-Stage Retrieval Model for the TREC-7 Ad Hoc Task.
Proceedings of The Seventh Text REtrieval Conference, 1998

Genetic Programming with Active Data Selection.
Proceedings of the Simulated Evolution and Learning, 1998

Active Data Partitioning for Building Mixture Models.
Proceedings of the Fifth International Conference on Neural Information Processing, 1998

1997
Evolutionary Induction of Sparse Neural Trees.
Evol. Comput., 1997

An evolutionary method for active learning of mobile robot path planning.
Proceedings of the Proceedings 1997 IEEE International Symposium on Computational Intelligence in Robotics and Automation CIRA'97, 1997

1995
Balancing Accuracy and Parsimony in Genetic Programming.
Evol. Comput., 1995

1994
Accelerated Learning by Active Example Selection.
Int. J. Neural Syst., 1994

Effects of Occam's Razor in Evolving Sigma-Pi Neural Nets.
Proceedings of the Parallel Problem Solving from Nature, 1994

Synthesis of Sigma-Pi Neural Networks by the Breeder Genetic Programming.
Proceedings of the First IEEE Conference on Evolutionary Computation, 1994

1993
Evolving Optimal Neural Networks Using Genetic Algorithms with Occam's Razor.
Complex Syst., 1993

Genetic Programming of Minimal Neural Nets Using Occam's Razor.
Proceedings of the 5th International Conference on Genetic Algorithms, 1993

1992
Lernen durch Genetisch-Neuronale Evolution: Aktive Anpassung an unbekannte Umgebungen mit selbstentwickelten parallelen Netzwerken.
PhD thesis, 1992

1990
Morphological Analysis and Synthesis by Automated Discovery and Acquisition of Linguistic Rules.
Proceedings of the 13th International Conference on Computational Linguistics, 1990


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