Byoung-tak Zhang

Byoung-tak Zhang's AcademicInfluence.com Rankings

Byoung-tak Zhang

Computer Science

#7517

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#7914

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Machine Learning

#2790

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#2825

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Artificial Intelligence

#3087

World Rank

#3133

Historical Rank

Database

#4564

World Rank

#4743

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computer-science Degrees

Byoung-tak Zhang

Biology

#10787

World Rank

#14143

Historical Rank

Bioinformatics

#125

World Rank

#127

Historical Rank

Computational Biology

#225

World Rank

#226

Historical Rank

biology Degrees

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Computer Science
Biology

Byoung-tak Zhang's Degrees

PhD Computer Science Stanford University
Masters Computer Science Stanford University
Bachelors Computer Science Seoul National University

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Byoung-tak Zhang's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

Molecular Basis for the Recognition of Primary microRNAs by the Drosha-DGCR8 Complex (2006) (1603)
Bilinear Attention Networks (2018) (560)
Overcoming Catastrophic Forgetting by Incremental Moment Matching (2017) (476)
Balancing Accuracy and Parsimony in Genetic Programming (1995) (273)
Multimodal Residual Learning for Visual QA (2016) (255)
miTarget: microRNA target gene prediction using a support vector machine (2006) (248)
Human microRNA prediction through a probabilistic co-learning model of sequence and structure (2005) (243)
Multiobjective evolutionary optimization of DNA sequences for reliable DNA computing (2005) (183)
Discovery of microRNA-mRNA modules via population-based probabilistic learning (2007) (158)
DeepStory: Video Story QA by Deep Embedded Memory Networks (2017) (143)
Evolving Optimal Neural Networks Using Genetic Algorithms with Occam's Razor (1993) (143)
Solving traveling salesman problems with DNA molecules encoding numerical values. (2004) (142)
AptaCDSS-E: A classifier ensemble-based clinical decision support system for cardiovascular disease level prediction (2008) (130)
Evolutionary Induction of Sparse Neural Trees (1997) (114)
Identification of biochemical networks by S-tree based genetic programming (2006) (111)
Hypernetworks: A Molecular Evolutionary Architecture for Cognitive Learning and Memory (2008) (109)
Introducing meta-services for biomedical information extraction (2008) (96)
Learning user's preferences by analyzing Web-browsing behaviors (2000) (94)
A reinforcement learning agent for personalized information filtering (2000) (93)
Text filtering by boosting naive Bayes classifiers (2000) (90)
Ensemble Learning with Active Example Selection for Imbalanced Biomedical Data Classification (2011) (86)
Accelerated Learning by Active Example Selection (1994) (81)
PIE: an online prediction system for protein–protein interactions from text (2008) (79)
ProMiR II: a web server for the probabilistic prediction of clustered, nonclustered, conserved and nonconserved microRNAs (2006) (78)
Personalized web-document filtering using reinforcement learning (2001) (77)
Generative Local Metric Learning for Nearest Neighbor Classification (2010) (74)
Genetic Programming of Minimal Neural Nets Using Occam's Razor (1993) (72)
Online learning of a full body push recovery controller for omnidirectional walking (2011) (67)
Genetic Mining of HTML Structures for Effective Web-Document Retrieval (2003) (65)
Multimodal Dual Attention Memory for Video Story Question Answering (2018) (61)
Dual Attention Networks for Visual Reference Resolution in Visual Dialog (2019) (61)
Integrated analysis of genome-wide DNA methylation and gene expression profiles in molecular subtypes of breast cancer (2013) (59)
Comparison of Selection Methods for Evolutionary Optimization (2000) (58)
Solving traveling salesman problems using molecular programming (1999) (57)
Applying Machine Learning Techniques to Analysis of Gene Expression Data: Cancer Diagnosis (2002) (56)
CoDraw: Collaborative Drawing as a Testbed for Grounded Goal-driven Communication (2017) (56)
Evolutionary sequence generation for reliable DNA computing (2002) (54)
A Bayesian framework for evolutionary computation (1999) (53)
Team THOR's Entry in the DARPA Robotics Challenge Trials 2013 (2015) (53)
Adaptive stock trading with dynamic asset allocation using reinforcement learning (2006) (53)
GLAC Net: GLocal Attention Cascading Networks for Multi-image Cued Story Generation (2018) (52)
An incremental learning algorithm that optimizes network size and sample size in one trial (1994) (49)
Deep ECGNet: An Optimal Deep Learning Framework for Monitoring Mental Stress Using Ultra Short-Term ECG Signals. (2018) (45)
Text Chunking by Combining Hand-Crafted Rules and Memory-Based Learning (2003) (42)
Hypergraph Attention Networks for Multimodal Learning (2020) (41)
Synthesis of sigma-pi neural networks by the breeder genetic programming (1994) (40)
Temperature Gradient-Based DNA Computing for Graph Problems with Weighted Edges (2002) (40)
Molecular responses of Jurkat T-cells to 1763 MHz radiofrequency radiation (2008) (38)
Multi-focus Attention Network for Efficient Deep Reinforcement Learning (2017) (38)
Molecular Algorithms for Efficient and Reliable DNA Computing (1998) (38)
Generating Images Part by Part with Composite Generative Adversarial Networks (2016) (37)
Dual-Memory Deep Learning Architectures for Lifelong Learning of Everyday Human Behaviors (2016) (36)
Genetic Programming with Active Data Selection (1998) (35)
Learning full body push recovery control for small humanoid robots (2011) (35)
Co-trained support vector machines for large scale unstructured document classification using unlabeled data and syntactic information (2004) (32)
Evolving hypernetworks for pattern classification (2007) (32)
Characterization of biological effect of 1763 MHz radiofrequency exposure on auditory hair cells (2008) (32)
Identification of regulatory modules by co-clustering latent variable models: stem cell differentiation (2006) (31)
DNA Hypernetworks for Information Storage and Retrieval (2006) (31)
Efficient Initial Pool Generation for Weighted Graph Problems Using Parallel Overlap Assembly (2004) (30)
A Bayesian Algorithm for In Vitro Molecular Evolution of Pattern Classifiers (2004) (30)
Practical bipedal walking control on uneven terrain using surface learning and push recovery (2011) (30)
An evolutionary method for active learning of mobile robot path planning (1997) (28)
Survey of computational haplotype determination methods for single individual (2015) (28)
Construction of phylogenetic trees by kernel-based comparative analysis of metabolic networks (2006) (28)
Enhancing human action recognition through spatio-temporal feature learning and semantic rules (2013) (27)
Stock Trading System Using Reinforcement Learning with Cooperative Agents (2002) (26)
PubMiner: Machine Learning-based Text Mining for Biomedical Information Analysis (2004) (26)
CoDraw: Visual Dialog for Collaborative Drawing (2017) (26)
Human Body Orientation Estimation using Convolutional Neural Network (2016) (25)
Web-Document Retrieval by Genetic Learning of Importance Factors for HTML Tags (2000) (25)
Attend What You Need: Motion-Appearance Synergistic Networks for Video Question Answering (2021) (25)
Answerer in Questioner's Mind: Information Theoretic Approach to Goal-Oriented Visual Dialog (2018) (24)
DramaQA: Character-Centered Video Story Understanding with Hierarchical QA (2020) (24)
Evolutionary hypernetwork models for aptamer-based cardiovascular disease diagnosis (2007) (23)
Molecular programming: evolving genetic programs in a test tube (2005) (23)
Mining the Risk Types of Human Papillomavirus (HPV) by AdaCost (2003) (23)
Learning robot behaviors by evolving genetic programs (2000) (22)
Evolutionary Continuous Optimization by Distribution Estimation with Variational Bayesian Independent Component Analyzers Mixture Model (2004) (22)
Online Learning of Uneven Terrain for Humanoid Bipedal Walking (2010) (22)
System identification using evolutionary Markov chain Monte Carlo (2001) (22)
Bayesian Evolutionary Optimization Using Helmholtz Machines (2000) (21)
Evolutionary learning of Web-document structure for information retrieval (2001) (21)
Continuous estimation of distribution algorithms with probabilistic principal component analysis (2001) (21)
Bayesian model averaging of Bayesian network classifiers over multiple node-orders: application to sparse datasets (2005) (21)
Social network analysis of TV drama characters via deep concept hierarchies (2015) (21)
Genetic Mining of DNA Sequence Structures for Effective Classification of the Risk Types of Human Papillomavirus (HPV) (2004) (20)
AESNB: Active Example Selection with Naïve Bayes Classifier for Learning from Imbalanced Biomedical Data (2009) (20)
Construction of Large-Scale Bayesian Networks by Local to Global Search (2002) (20)
In vitro molecular pattern classification via DNA-based weighted-sum operation (2010) (20)
Automated Construction of Visual-Linguistic Knowledge via Concept Learning from Cartoon Videos (2015) (20)
Learning Hierarchical Bayesian Networks for Large-Scale Data Analysis (2006) (19)
PRICAI 2010: Trends in Artificial Intelligence, 11th Pacific Rim International Conference on Artificial Intelligence, Daegu, Korea, August 30-September 2, 2010. Proceedings (2010) (19)
Evolving hypernetwork classifiers for microRNA expression profile analysis (2007) (19)
Sparse Population Code Models of Word Learning in Concept Drift (2012) (19)
Whole-Body Balancing Walk Controller for Position Controlled Humanoid Robots (2016) (19)
Simulation and real-time monitoring of polymerase chain reaction for its higher efficiency (2006) (19)
Online Incremental Structure Learning of Sum-Product Networks (2013) (19)
Self-Organizing Latent Lattice Models for Temporal Gene Expression Profiling (2003) (19)
Identification of novel anti-angiogenic factors by in silico functional gene screening method. (2003) (18)
A Kernel Method for MicroRNA Target Prediction Using Sensible Data and Position-Based Features (2005) (18)
NACST/Seq: A Sequence Design System with Multiobjective Optimization (2002) (18)
Robust Human Following by Deep Bayesian Trajectory Prediction for Home Service Robots (2018) (18)
Constructing higher-order miRNA-mRNA interaction networks in prostate cancer via hypergraph-based learning (2013) (18)
CrossChip: a system supporting comparative analysis of different generations of Affymetrix arrays (2005) (17)
Consensus Analysis and Modeling of Visual Aesthetic Perception (2015) (17)
Protein sequence-based risk classification for human papillomaviruses (2006) (17)
Information-Theoretic Objective Functions for Lifelong Learning (2013) (17)
An Empirical Study on Dimensionality Optimization in Text Mining for Linguistic Knowledge Acquisition (2003) (17)
Bayesian evolutionary algorithms for continuous function optimization (2001) (17)
Temporal pattern recognition using a spiking neural network with delays (1999) (16)
Answerer in Questioner's Mind for Goal-Oriented Visual Dialogue (2018) (16)
Ways of Conditioning Generative Adversarial Networks (2016) (16)
Ensembled support vector machines for human papillomavirus risk type prediction from protein secondary structures (2009) (16)
Time series prediction using committee machines of evolutionary neural trees (1999) (16)
Learning-based Intrasentence Segmentation for Efficient Translation of Long Sentences (2001) (16)
Temporal Attention Mechanism with Conditional Inference for Large-Scale Multi-label Video Classification (2018) (16)
Analysis of Gene Expression Profiles and Drug Activity Patterns by Clustering and Bayesian Network Learning (2002) (16)
Online learning of low dimensional strategies for high-level push recovery in bipedal humanoid robots (2013) (16)
PubMiner: Machine Learning-Based Text Mining System for Biomedical Information Mining (2004) (15)
Stock Trading by Modelling Price Trend with Dynamic Bayesian Networks (2004) (15)
Active stabilization of a humanoid robot for impact motions with unknown reaction forces (2012) (15)
Version Space Learning with DNA Molecules (2002) (15)
Multi-stage Evolutionary Algorithms for Efficient Identification of Gene Regulatory Networks (2006) (15)
Cognitive learning and the multimodal memory game: Toward human-level machine learning (2008) (15)
Genetic programming with incremental data inheritance (1999) (15)
Large Scale Unstructured Document Classification Using Unlabeled Data and Syntactic Information (2003) (15)
DNA Implementation of Theorem Proving with Resolution Refutation in Propositional Logic (2002) (14)
Evolutionary optimization by distribution estimation with mixtures of factor analyzers (2002) (14)
Behavior evolution of autonomous mobile robot using genetic programming based on evolvable hardware (2000) (14)
Bayesian Network Classifiers for Gene Expression Analysis (2003) (13)
Bayesian Methods for Efficient Genetic Programming (2000) (13)
Evolving hypernetwork models of binary time series for forecasting price movements on stock markets (2009) (13)
Text Classifiers Evolved on a Simulated DNA Computer (2006) (13)
Multi-objective Evolutionary Probe Design Based on Thermodynamic Criteria for HPV Detection (2004) (13)
Adaptive fitness functions for dynamic growing/pruning of program trees (1996) (13)
Word Sense Disambiguation by Learning from Unlabeled Data (2000) (13)
Forecasting High-Frequency Financial Time Series with Evolutionary Neural Trees: The Case of Heng-Sheng Stock Index (1999) (12)
Development, evaluation and benchmarking of simulation software for biomolecule-based computing (2004) (12)
Random Hypergraph Models of Learning and Memory in Biomolecular Networks: Shorter-Term Adaptability vs. Longer-Term Persistency (2007) (12)
Microarray Probe Design Using epsilon-Multi-Objective Evolutionary Algorithms with Thermodynamic Criteria (2006) (12)
Evolving neural trees for time series prediction using Bayesian evolutionary algorithms (2000) (12)
Bayesian evolutionary hypergraph learning for predicting cancer clinical outcomes (2014) (12)
Morphological Analysis and Synthesis by Automated Discovery and Acquisition of Linguistic Rules (1990) (12)
Smooth-Swap: A Simple Enhancement for Face-Swapping with Smoothness (2021) (12)
Code Optimization for DNA Computing of Maximal Cliques (1999) (12)
An evolutionary Monte Carlo algorithm for predicting DNA hybridization (2008) (11)
A unified Bayesian framework for evolutionary learning and optimization (2003) (11)
Layered Hypernetwork Models for Cross-Modal Associative Text and Image Keyword Generation in Multimodal Information Retrieval (2010) (11)
A molecular evolutionary algorithm for learning hypernetworks on simulated DNA computers (2011) (11)
A probabilistic coevolutionary biclustering algorithm for discovering coherent patterns in gene expression dataset (2012) (11)
Building Optimal Committees of Genetic Programs (2000) (11)
Humans and Machines in the Evolution of AI in Korea (2016) (10)
A Comparative Evaluation of Data-driven Models in Translation Selection of Machine Translation (2002) (10)
Characteristic molecular vibrations of adenosine receptor ligands (2015) (10)
EvoOligo: Oligonucleotide Probe Design With Multiobjective Evolutionary Algorithms (2009) (10)
Evolutionary layered hypernetworks for identifying microRNA-mRNA regulatory modules (2010) (10)
Feature Relevance Network-Based Transfer Learning for Indoor Location Estimation (2011) (10)
A Boosted Maximum Entropy Model for Learning Text Chunking (2002) (10)
Pororobot: A Deep Learning Robot That Plays Video Q&A Games (2015) (10)
Word Sense Disambiguation by Learning Decision Trees from Unlabeled Data (2003) (10)
Bayesian Network Learning with Feature Abstraction for Gene-drug Dependency Analysis (2005) (9)
A Tree Kernel-Based Method for Protein-Protein Interaction Mining from Biomedical Literature (2006) (9)
Collocation Dictionary Optimization Using WordNet and k-Nearest Neighbor Learning (2001) (9)
A DNA assembly model of sentence generation (2011) (9)
DietAdviser: A Personalized eHealth Agent in a Mobile Computing Environment (2012) (9)
Evolutionary neural trees for modeling and predicting complex systems (1997) (9)
Korean Compound Noun Decomposition Using Syllabic Information Only (2004) (9)
A Bayesian evolutionary approach to the design and learning of heterogeneous neural trees (2002) (9)
Prediction of the Risk Types of Human Papillomaviruses by Support Vector Machines (2004) (8)
Intelligent and Evolutionary Systems - The 20th Asia Pacific Symposium, IES 2016, Canberra, Australia, November 2016, Proceedings (2009) (8)
Human Papillomavirus Risk Type Classification from Protein Sequences Using Support Vector Machines (2006) (8)
Topic Extraction from Text Documents Using Multiple-Cause Networks (2002) (8)
Dual-memory neural networks for modeling cognitive activities of humans via wearable sensors (2017) (8)
Self-Assembling Hypernetworks for Cognitive Learning of Linguistic Memory (2008) (8)
Evolving complex group behaviors using genetic programming with fitness switching (2000) (8)
A Two-Stage Retrieval Model for the TREC-7 Ad Hoc Task (1998) (8)
Classification of the Risk Types of Human Papillomavirus by Decision Trees (2003) (8)
Active stabilization of a humanoid robot for real-time imitation of a human operator (2012) (8)
Identification of cell cycle-related regulatory motifs using a kernel canonical correlation analysis (2009) (8)
Perception-Action-Learning System for Mobile Social-Service Robots Using Deep Learning (2018) (8)
Reducing Parsing Complexity by Intra-Sentence Segmentation based on Maximum Entropy Model (2000) (8)
Genetic programming of process decomposition strategies for evolvable hardware (2000) (8)
Effects of selection schemes in genetic programming for time series prediction (1999) (7)
Evolutionary hypernetworks for learning to generate music from examples (2009) (7)
Ontogenesis of Agency in Machines : A Multidisciplinary Review (2014) (7)
Effects of Occam's Razor in Evolving Sigma-Pi Neural Nets (1994) (7)
Use of Evolutionary Hypernetworks for Mining Prostate Cancer Data (2007) (7)
Text-to-image retrieval based on incremental association via multimodal hypernetworks (2012) (7)
Biomolecular theorem proving on a chip: a novel microfluidic solution to a classical logic problem. (2012) (7)
Bayesian Evolutionary Algorithms for Learning and Optimization (2000) (6)
Classification of Human Papillomavirus (HPV) Risk Type via Text Mining (2003) (6)
Computational Methods for Identification of Human microRNA Precursors (2004) (6)
A Lab-on-a-Chip Module for Bead Separation in DNA-Based Concept Learning (2003) (6)
Uncovering Response Biases in Recommendation (2014) (6)
Effective EEG Connectivity Analysis of Episodic Memory Retrieval (2014) (6)
Real-time Route Inference and Learning for Smartphone Users using Probabilistic Graphical Models (2012) (6)
Gene Expression Pattern Analysis via Latent Variable Models Coupled with Topographic Clustering (2003) (6)
Two-Step Genetic Programming for Optimization of RNA Common-Structure (2004) (6)
Prediction of Implicit Protein-Protein Interaction by Optimal Associative Feature Mining (2004) (6)
Estimating Multiple Evoked Emotions from Videos (2013) (6)
A novel method to monitor human stress states using ultra-short-term ECG spectral feature (2017) (6)
Reasoning Visual Dialog with Sparse Graph Learning and Knowledge Transfer (2020) (6)
Gender classification with cortical thickness measurement from magnetic resonance imaging by using a feature selection method based on evolutionary hypernetworks (2009) (6)
Subjective Document Classification Using Network Analysis (2010) (6)
Mutual information-based evolution of hypernetworks for brain data analysis (2011) (6)
SCAI TREC-8 Experiments (1999) (6)
Supervised Learning Methods for MicroRNA Studies (2008) (6)
Enzymatic Weight Update Algorithm for DNA-Based Molecular Learning (2019) (6)
Dynamic Asset Allocation Exploiting Predictors in Reinforcement Learning Framework (2004) (6)
Convergence properties of incremental Bayesian evolutionary algorithms with single Markov chains (2000) (6)
Dynamic Asset Allocation for Stock Trading Optimized by Evolutionary Computation (2005) (5)
Construction of C-Reactive Protein-Binding Aptamer As A Module of the DNA Computing System for Diagnosing Cardiovascular Diseases (2004) (5)
Deep Learning for the Web (2015) (5)
Cut-Based Graph Learning Networks to Discover Compositional Structure of Sequential Video Data (2020) (5)
Text-to-Image Cross-Modal Retrieval of Magazine Articles Based on Higher-order Pattern Recall by Hypernetworks (2009) (5)
Construction of microRNA functional families by a mixture model of position weight matrices (2013) (5)
DNA sequence optimization using constrained multi-objective evolutionary algorithm (2003) (5)
Adaptive Neural Network-Based Clustering of Yeast Protein-Protein Interactions (2004) (5)
An English-Korean System for Human Assisted Language Translation (1987) (5)
Finding Cancer-Related Gene Combinations Using a Molecular Evolutionary Algorithm (2007) (5)
Molecular Learning of wDNF Formulae (2005) (5)
In vitro molecular machine learning algorithm via symmetric internal loops of DNA (2017) (5)
Evolutionary hypernetwork classifiers for protein-proteininteraction sentence filtering (2009) (5)
Ensemble Learning Based on Active Example Selection for Solving Imbalanced Data Problem in Biomedical Data (2009) (5)
Evolutionary concept learning from cartoon videos by multimodal hypernetworks (2013) (5)
Constructing Hierarchical Q&A Datasets for Video Story Understanding (2019) (4)
Visual Perception Framework for an Intelligent Mobile Robot (2020) (4)
Teaching an Agent by Playing a Multimodal Memory Game: Challenges for Machine Learners and Human Teachers (2009) (4)
DeepSchema: Automatic Schema Acquisition from Wearable Sensor Data in Restaurant Situations (2016) (4)
Co-Attentional Transformers for Story-Based Video Understanding (2020) (4)
Identification and characterization of small RNAs from vernalizedArabidopsis thaliana (2007) (4)
Leveraging node neighborhoods and egograph topology for better bot detection in social graphs (2021) (4)
Hierarchical Latent Variable Models for Story Analysis of TV Dramas (2012) (4)
Hypergraph Transformer: Weakly-Supervised Multi-hop Reasoning for Knowledge-based Visual Question Answering (2022) (4)
Identification and Characterization of Small RNAs from Vernalized Arabidopsis thaliana (2007) (4)
Criteria for Human-Compatible AI in Two-Player Vision-Language Tasks (2017) (4)
Customer Data Mining and Visualization by Generative Topographic Mapping Methods (2001) (3)
Ising Model based Molecular Associative Memory for Pattern Recall (2017) (3)
Co-evolutionary fitness switching: learning complex collective behaviors using genetic programming (1999) (3)
Multiplex PCR Assay Design by Hybrid Multiobjective Evolutionary Algorithm (2007) (3)
Efficient pricing of Asian options under Lévy processes based on Fourier cosine expansions. Part II. Early-exercise features and GPU implementation (2012) (3)
Evolutionary Multi-Objective Optimization for DNA Sequence Design (2008) (3)
Large-Scale Text Classification with Deep Neural Networks (2017) (3)
MDL-Based Fitness Functions for Learning Parsimonious Programs (1995) (3)
Goal-Aware Cross-Entropy for Multi-Target Reinforcement Learning (2021) (3)
Mining Protein Interaction from Biomedical Literature with Relation Kernel Method (2006) (3)
Target Word Selection Using WordNet and Data-Driven Models in Machine Translation (2002) (3)
Character-based Subtitle Generation by Learning of Multimodal Concept Hierarchy from Cartoon Videos (2015) (3)
Evolutionary particle filtering for sequential dependency learning from video data (2012) (3)
Social Influence Models Based on Starbucks Networks (2009) (3)
RCA-Based Detection Methods for Resolution Refutation (2003) (3)
The demand for quantitative techniques in biomedical image informatics (2014) (3)
Visual Query Expansion via Incremental Hypernetwork Models of Image and Text (2010) (3)
Into the Colorful World of Webtoons: Through the Lens of Neural Networks (2017) (3)
Dual Memory Architectures for Fast Deep Learning of Stream Data via an Online-Incremental-Transfer Strategy (2015) (3)
Evolutionary calibration of sensors using genetic programming on evolvable hardware (2001) (3)
Data-driven experimental design and model development using Gaussian process with active learning (2021) (3)
Combining Information-Based Supervised and Unsupervised Feature Selection (2006) (3)
Message Passing Adaptive Resonance Theory for Online Active Semi-supervised Learning (2020) (3)
Fluid Dynamics Models for Low Rank Discriminant Analysis (2010) (3)
Automatic Webpage Classification Enhanced by Unlabeled Data (2003) (3)
Learning music and generation of crossover music using evolutionary hypernetworks * (2009) (3)
Label Propagation Adaptive Resonance Theory for Semi-Supervised Continuous Learning (2020) (3)
A Viewer Preference Model Based on Physiological Feedback (2014) (3)
Combining locally trained neural networks by introducing a reject class (1999) (3)
Non-linear molecular pattern classification using molecular beacons with multiple targets (2013) (3)
Discriminative Variational Autoencoder for Continual Learning with Generative Replay (2019) (3)
DialGraph: Sparse Graph Learning Networks for Visual Dialog (2020) (3)
Fluid Dynamic Models for Bhattacharyya-Based Discriminant Analysis (2018) (3)
Using a genetic algorithm for communication link partitioning (1997) (3)
TrimZero: A Torch Recurrent Module for Efficient Natural Language Processing (2016) (2)
Oversampling-Based Ensemble Learning Methods for Imbalanced Data (2014) (2)
Hardware Implementation of the Pattern Recognize Processor based on DNA Computing technique (2007) (2)
Bilinear attention networks for VizWiz challenge (2018) (2)
Biomolecular computation with molecular beacons for quantitative analysis of target nucleic acids (2013) (2)
Context Analysis based on Hypergraph Language Model for Automatic Storytelling (2011) (2)
Extraction of Gene/Protein Interaction from Text Documents with Relation Kernel (2005) (2)
Distributed Parallel Cooperative Problem-Solving with Voting and Election System of Neural Learning Networks (2)
Convergence properties of Bayesian evolutionary algorithms with population size greater than 1 (2001) (2)
Large-Scale Text Classification with Recurrent Neural Networks (2016) (2)
CogDIEM : Database of Implicit Emotional Responses to Multimedia for Cognitive Computing (2014) (2)
Multimodal Anomaly Detection based on Deep Auto-Encoder for Object Slip Perception of Mobile Manipulation Robots (2021) (2)
Place Recognition Using Ensemble Learning of Mobile Multimodal Sensory Information (2015) (2)
Data Interpolations in Deep Generative Models under Non-Simply-Connected Manifold Topology (2019) (2)
Active Learning Agents with Artificial Neural Brains (2012) (2)
Thermodynamics-Based Weight Encoding Methods for Improving Reliability of Biomolecular Perceptrons (2007) (2)
A probabilistic coevolutionary biclustering algorithm for discovering coherent patterns in gene expression dataset (2012) (2)
Rule-based in vitro molecular classification and visualization (2013) (2)
Hierarchical Color Learning in Convolutional Neural Networks (2020) (2)
Modeling Delay Discounting using Gaussian Process with Active Learning (2019) (2)
Introducing the Ko Corpus of Korean Mother–Child Interaction (2020) (2)
Bayesian evolutionary algorithms for evolving neural tree models of time series data (2000) (2)
Molecular Associative Memory with Spatial Auto-logistic Model for Pattern Recall (2018) (2)
Behavioral Pattern Modeling of Human-Human Interaction for Teaching Restaurant Service Robots (2015) (2)
WithDorm: Dormitory Solution for Linking Roommates (2019) (2)
PromSearch: A Hybrid Approach to Human Core-Promoter Prediction (2004) (2)
Generating Cafeteria Conversations with a Hypernetwork Dialogue Model (2013) (2)
Micro-Objective Learning : Accelerating Deep Reinforcement Learning through the Discovery of Continuous Subgoals (2017) (2)
Prediction of Yeast Protein-Protein Interactions by Neural Feature Association Rule (2005) (2)
Problem Difficulty in Arithmetic Cognition: Humans and Connectionist Models (2019) (2)
Bayesian evolutionary hypernetworks for interpretable learning from high-dimensional data (2019) (2)
Prediction of Protein Interaction with Neural Network-Based Feature Association Rule Mining (2006) (2)
Hypernetwork-based Natural Language Sentence Generation by Word Relation Pattern Learning (2010) (2)
Spatial Perception by Object-Aware Visual Scene Representation (2019) (2)
Compound noun decomposition using a Markov model (1999) (2)
Which Ads to Show? Advertisement Image Assessment with Auxiliary Information via Multi-step Modality Fusion (2019) (2)
Spectrally Similar Graph Pooling (2020) (1)
Using Stochastic Helmholtz Machine for Text Learning (2001) (1)
Hangul Handwriting Recognition using Recurrent Neural Networks (2017) (1)
Molecular learning with DNA kernel machines (2015) (1)
Language-agnostic Semantic Consistent Text-to-Image Generation (2022) (1)
Better Word Embeddings for Korean (2016) (1)
Pororobot : Child Tutoring Robot for English Education (2016) (1)
Searching Transcriptional Modules Using Evolutionary Algorithms (2004) (1)
Active Data Partitioning for Building Mixture Models (1998) (1)
RoboCup@Home 2021 Domestic Standard Platform League Winner (2021) (1)
Co-evolutionary Biclustering for microRNA Expression Profiles Analysis (2007) (1)
Event Cognition-based Daily Activity Prediction Using Wearable Sensors (2016) (1)
From Scratch to Sketch: Deep Decoupled Hierarchical Reinforcement Learning for Robotic Sketching Agent (2022) (1)
Behavior Evolution of Autonomous Mobile Robot(AMR) using Genetic Programming Based on Evolvable Hardware (2002) (1)
Identifying DNA Methylation Modules Associated with a Cancer by Probabilistic Evolutionary Learning (2018) (1)
Classifying verbal commands using Convolutional Neural Networks and Mel-spectrographic sound representations (2020) (1)
Toward General Scene Graph: Integration of Visual Semantic Knowledge with Entity Synset Alignment (2020) (1)
Prediction of Implicit Protein - Protein Interaction Using Optimal Associative Feature Rule (2006) (1)
Learning-style recognition from eye-hand movement using a dynamic Bayesian network (2012) (1)
Identifying Compound Risk Factors of Disease by Evolutionary Learning of SNP Combinatorial Features (2009) (1)
Document filtering boosted by unlabeled data (2001) (1)
Communication as moving target tracking (2013) (1)
Multi-Modal Wearable Sensor Integration for Daily Activity Pattern Analysis with Gated Multi-Modal Neural Networks (2017) (1)
Mounting Video Metadata on Transformer-based Language Model for Open-ended Video Question Answering (2021) (1)
Learning task-agnostic representation via toddler-inspired learning (2021) (1)
Pattern Denoising in Molecular Associative Memory using Pairwise Markov Random Field Models (2020) (1)
Massively-Parallel Pattern Recognition through Evolutionary Molecular Hypernetwork in DNA Computing (2015) (1)
Simulating Problem Difficulty in Arithmetic Cognition Through Dynamic Connectionist Models (2019) (1)
Passive Versus Active: Frameworks of Active Learning for Linking Humans to Machines (1)
Human-Like Active Learning: Machines Simulating the Human Learning Process (2020) (1)
Analysis on Effective EEG Connectivity of Memory Retrieval in the Brain) (2014) (1)
Article-Goods Associative Search using Bi-Source Topic Modeling Method (2011) (1)
Improving Robustness to Texture Bias via Shape-focused Augmentation (2022) (1)
Scene Graph Parsing via Abstract Meaning Representation in Pre-trained Language Models (2022) (1)
Sequential Multitask Learning Optimization Using Bayesian Neural Network (2018) (1)
Cross-Modal Alignment Learning of Vision-Language Conceptual Systems (2022) (1)
EXPERIMENTAL ANALYSIS OF 2-MULTIOBJECTIVE EVOLUTIONARY ALGORITHM (2004) (1)
Evolution of Herding Behavior of Multiple Autonomous Mobile Robots (1998) (1)
Molecular Computing Simulation of Cognitive Anagram Solving (2014) (1)
Bayesian Filtering for Background Change Detection in TV Dramas (2012) (1)
Implementation of Cardiovascular Disease (CVD) Level Prediction Processor using Aptamer Biochip (2007) (1)
Identification of Caenorhabditis elegans MicroRNA Targets Using a Kernel Method (2005) (1)
Hypernetwork Memory-Based Model for Infant's Language Learning (2009) (1)
MMG: A Learning Game Platform for Understanding and Predicting Human Recall Memory (2010) (1)
Learning to Predict by Evolutionary Neural Trees \ (2012) (1)
Online Constructive Machine Learning with Molecular Hypernetworks in DNA Computing (2016) (1)
C: Contrastive Learning for Cross-domain Correspondence in Few-shot Image Generation (2021) (1)
SelecMix: Debiased Learning by Mixing up Contradicting Pairs (2022) (1)
Genetic Programming Based Alife Techniques for Evolving Collective Robotic Intelligence (1999) (1)
Neural Correlates of Episodic Memory Formation in Audio-Visual Pairing Tasks (2012) (1)
'Is this right?' or 'Is that wrong?': Evidence from Dynamic Eye-Hand Movement in Decision Making (2012) (1)
CogME: A Novel Evaluation Metric for Video Understanding Intelligence (2021) (1)
DUEL: Adaptive Duplicate Elimination on Working Memory for Self-Supervised Learning (2022) (1)
An Adaptive Computational Discourse System based on Data-driven Learning Algorithm (2015) (1)
Microarray Probe Design with Multiobjective Evolutionary Algorithm (2008) (1)
Encoder-Powered Generative Adversarial Networks (2019) (1)
Molecular immunocomputing with application to alphabetical pattern recognition mimics the characterization of ABO blood type (2003) (1)
A Global Minimization Algorithm Based on a Geodesic of a Lagrangian Formulation of Newtonian Dynamics (2007) (1)
Toddler-Guidance Learning: Impacts of Critical Period on Multimodal AI Agents (2021) (1)
Higher-Order Predictive Information for Learning an Infinite Stream of Episodes (2012) (1)
Locally Linear Embedding for Face Recognition with Simultaneous Diagonalization (2015) (0)
Character Identification on Multiparty Dialogues using Multimodal Features (2018) (0)
Bio-Inspired Human-Level Machine Learning (2015) (0)
Modal-specific Pseudo Query Generation for Video Corpus Moment Retrieval (2022) (0)
Proceedings of the 11th Pacific Rim international conference on Trends in artificial intelligence (2010) (0)
Effect of Saliency-Based Masking in Scene Classification (2012) (0)
Sentence Classification Using Hypernetwork Models * (2008) (0)
Learning with target classification auxiliary task for semantic navigation (2019) (0)
Analyzing Human Behavioral Data to Interact with Restaurant Server Agents (2015) (0)
Actively searching for committees of RBF networks using Bayesian evolutionary computation (2001) (0)
Special issue: First International Conference on Big Data and Smart Computing (BigComp2014) (2016) (0)
Chunking Using Maximum Entropy Models (2001) (0)
Devil's Advocate: Novel Boosting Ensemble Method from Psychological Findings for Text Classification (2021) (0)
Byoung-tak Zhang and Dong-yeon Cho 18.1 Introduction (2007) (0)
Joint Probability Distribution Model for High-Order Markov Chains (2014) (0)
System Identi®cation Using Evolutionary Markov Chain Monte Carlo (2001) (0)
AFRL-AFOSR-JP-TR-2016-0014 Bio-Inspired Human-Level Machine Learning (2016) (0)
In vivo Intelligent Agents with CRISPR-Cas 9 for Molecular Learning (2017) (0)
Modeling Situated Conversations for a Child-Care Robot Using Wearable Devices (2015) (0)
DNA Hypernetworks for Machine Learning and Data Mining (2007) (0)
Infomation based supervised and semi-supervised feature selection (2003) (0)
Multiswitch Hidden Markov Models for Route and Destination Prediction of Mobile Phone Users (2013) (0)
Agile Adaptation to Stochastic Environment based on Observation-Prediction Error (2019) (0)
Theoretical Property of Topological Efficiency Measurements for Markov Decision Problems (2007) (0)
Chapter 24 Combining Information-Based Supervised and Unsupervised Feature Selection (2006) (0)
PromSearch : a core-promoter prediction program using neural networks (2005) (0)
The Dialog Must Go On: Improving Visual Dialog via Generative Self-Training (2022) (0)
Robust Scheduling based on Daily Activity Learning by using Markov Decision Process and Inverse Reinforcement Learning (2017) (0)
Place Awareness Learned by Mobile Vision-GPS Sensor Data (2012) (0)
Hypernetworks: Cognitive Machine Learning by Simulating “Chemical” Brains (2009) (0)
P1-20: The Relation of Eye and Hand Movement during Multimodal Recall Memory (2012) (0)
Social Network Analysis of TV Drama via Location Knowledge-learned Deep Hypernetworks (2016) (0)
Identifying Prostate Cancer-specific Gene Modules via Hypergraph Analysis based on NMF (2012) (0)
Dynamics-adaptive Latent Actor-Critic: Efficient Deep Reinforcement Learning with a Latent Variable Model (2020) (0)
Eye Movement Analysis for Long-term Memory on Video Stimuli (2014) (0)
Evolutionary Neural Trees* (2012) (0)
Plasmid-DNAgram : Anagram Solving by Molecular Computing Based on GFP-Expressing Plasmid DNA (2003) (0)
Evolutionary Learning of Sigma-Pi Neural Trees and Its Application to Classification and Prediction (1996) (0)
Evolutionary Molecular Learning for Hand-written Digit Classification with Enzymatic Manipulation of DNA sequences (2015) (0)
A Visual Hypernetwork Model using Eye-Gaze-Information-Based Active Sampling (2012) (0)
Molecular Evolutionary Learning of DNA Hypernetworks for Hand-written Digit Classification (2011) (0)
Correlation Analysis between Regulatory Sequence Motifs and Expression Profiles by Kernel CCA (2005) (0)
Recognizing Emotions from Out-of-domain Facial Expressions Produced by Non-Actors (2019) (0)
Movie Recommendation Using Co-Clustering by Infinite Relational Models (2014) (0)
Robust Deep Learning Architecture for hERG-related Cardiotoxicity Prediction on Small-Scale Dataset (2022) (0)
Deciphering the communicative code in speech and gesture dialogues by autoencoding hypernetworks (2011) (0)
Learning to Observe, Query and Justify Behavior from Human Activity Video Clips (2017) (0)
Using Genetic Algorithms for Automatic Construction of Higher-Order Neural Models (1994) (0)
Random Graph Methods for Incremental Structure Learning of Neural Network Models (2014) (0)
Visual Imagination from Texts (2016) (0)
Leveraging node neighborhoods and egograph topology for better bot detection in social graphs (2021) (0)
PlaceNet: Neural Spatial Representation Learning with Multimodal Attention (2022) (0)
SelecMix: Debiased Learning by Contradicting-pair Sampling (2022) (0)
Extrinsic Calibration for Multiple Cameras without Target Locations (2019) (0)
Analyzing and Solving GuessWhat (2018) (0)
Generation of Hangul Handwritten Characters using Recurrent Neural Networks (0)
Compositional Structure Learning for Sequential Video Data (2019) (0)
INDEXING USING INDEPENDENT TOPIC EXTRACTION (2001) (0)
Decision Tree based Disambiguation of Semantic Roles for Korean Adverbial Postpositions in Korean-English Machine Translation (2000) (0)
Random Ensemble Hypernetwork for Pattern Recognition with Enzymatic Weight Update (2016) (0)
Abstracts from the sixth meeting of the international association of pancreatology, November 2–4, 1994, Chicago, IL (1994) (0)
Analyzing Performance and Dynamics of Echo State Networks Given Various Structures of Hidden Neuron Connections (2015) (0)
Query-based zero-shot detection (2020) (0)
Extraction Analysis for Crossmodal Association Information using Hypernetwork Models (2009) (0)
Optimization of Transitive Verb-Objective Collocation Dictionary based on k-nearest Neighbor Learning (2000) (0)
Extracting Topic Words and Clustering Documents by Probabilistic Graphical Models (2007) (0)
BioPubMiner: Machine Learning Component-Based Biomedical Information Analysis Platform (2004) (0)
Multimodal Digit Pattern Learning using Deoxyribozymes (2016) (0)
Attention Memory for Locating an Object through Visual Dialogue (2017) (0)
Concurrent Evolution of Neural Networks and Their Data Sets (2000) (0)
Comparison of Selection Schemes for Machine Layout Design (2012) (0)
Knowledgebot : Neuroknowledge based Complimentary Learning Model for Question Answering Systems (2016) (0)
Efficient Compositional Translation Embedding for Visual Relationship Detection (2022) (0)
Lifelong Learning with the Feedback-loop between Emotions and Actions via Internal Reward (2018) (0)
Split Gibbs Sampling Algorithm for Consistent Motif Discovery (2020) (0)
Automated Emotional Tagging of Lifelog Data with Wearable Sensors (2017) (0)
Autonomous Learning in Mobile Cognitive Machines (2017) (0)
Extremely Sparse Deep Learning Using Inception Modules with Dropfilters (2017) (0)
Application of Structure-Switching Signaling Aptamers in DNA computing (2005) (0)
Sensor Design Using Self-Replicating Deoxyribozyme (2008) (0)
Visualizing Semantic Structures of Sequential Data by Learning Temporal Dependencies (2019) (0)
Extraction of higher Yeast protein-protein interaction with hierarchical clustering from textual data (2002) (0)
Leveraging node neighborhoods for bot detection in social graphs (2020) (0)
Team Tidyboy at the WRS 2020: a modular software framework for home service robots (2022) (0)
Efficient Approximation of State Space for Reinforcement Learning Using Complex Network Models (2009) (0)
Manifold Learning and Alignment with Generative Adversarial Networks (2019) (0)
Continual Self-organized Learning of Hierarchical Mulitimodal ART (2020) (0)
The demand for quantitative techniques in biomedical image informatics (2014) (0)
Editorial: Task planning and motion control problems of service robots in human-centered environments (2022) (0)
(An Online Incremental Associative Feature Construction Method via Maximizing Entropy) (2013) (0)
Evolving Cooperation Strategies for Multiple Mobile Robots (2012) (0)
SGRAM: Improving Scene Graph Parsing via Abstract Meaning Representation (2022) (0)
Human Activity as a Sequence to Sequences Representation (2016) (0)
Hypernetwork Classifiers for Microarray-Based miRNA Module Analysis (2008) (0)
A Sequential Prediction Model for Online Incremental Learning of Mutidimensional Stream Data (2013) (0)
PLM: A Model for Probabilistic Learning and Inference Based on DNA Computing (2005) (0)
Automated Construction of Diagnosis Rules from DNA Samples (2006) (0)
M2FN: Multi-step Modality Fusion for Advertisement Image Assessment (2021) (0)
A DNA Computing-Inspired Silicon Chip for Pattern Recognition (2007) (0)
Hierarchical Slow-Feature Models of Gesture Conversation (2012) (0)
A Computational Model of Language Learning Driven by Training Inputs (2010) (0)
Analysis of microRNA-mRNA Regulatory Modules by Evolutionary Hypernetwork Models (2009) (0)
Diverged Episodic Memory-based Self-Supervised Policy Learning (2023) (0)
Communication as moving target tracking: Dynamic Bayesian inference with an action-perception-learning cycle (2013) (0)
Contextualized Bilinear Attention Networks (2018) (0)
Effect of Active Pre-Learning Activities on Humans and Machines (2020) (0)
Question Answering Optimization via Temporal Representation and Data Augmentation of Dynamic Memory Networks (2017) (0)
Auto-tagging Method for Unlabeled Item Images with Hypernetworks for Article-related Item Recommender Systems (2010) (0)
Evolutionary Design of Neural Trees for Heart Rate Prediction (1998) (0)
A Bayesian Sampling Algorithm for Evolving Random Hypergraph Models Representing Higher-Order Correlations (2009) (0)
Gestures Imitation and Modeling using Concept Hierarchies and Hidden Markov Model (2015) (0)
Filtering by Boosting Linear Perceptrons (2001) (0)
Evolving a population code for multimodal concept learning (2011) (0)
Exploring Cancer-Specific microRNA-mRNA Interactions by Evolutionary Layered Hypernetwork Models (2010) (0)
Evolutionary Hypernetwork Model for Higher Order Pattern Recognition on Real-valued Feature Data without Discretization (2010) (0)
Learning to Write with Coherence From Negative Examples (2022) (0)
Brain-Behavior Analysis of Multimodal Episodic Memory Formation (2013) (0)
WithDorm (2019) (0)
Music Melody Prediction using Hypernetworks) (2010) (0)
Learning Geometry-aware Representations by Sketching (2023) (0)
Jibobot : A Personal Assistant Robot with Social Motions (2016) (0)
Gene Expression Pattern Classification Using Weight Encoding Molecular Beacon Probe Mixture (2007) (0)
Toward a Human-Level Video Understanding Intelligence (2021) (0)
Survey of computational haplotype determination methods for single individual (2015) (0)
Prediction of Emotion using Color Distribution of Movie Scene (2014) (0)
Robust Imitation via Mirror Descent Inverse Reinforcement Learning (2022) (0)
Ruminating Word Representations with Random Noised Masker (2019) (0)
Dynamic Models to Learn Physiological Response to Multimedia Stimuli (2015) (0)
Visual Explanations from Hadamard Product in Multimodal Deep Networks (2017) (0)
Affinity and Variety between Words in the Framework of Hypernetwork (2008) (0)
Deep Learning Methods for Perception and Navigation of Service Robots (2008) (0)
Constructing cancer-specific microRNA networks by probabilistic local structure learning (2009) (0)
Molecular Learning and Pattern Denoising using Markov Random Field Models (2020) (0)
41 ’ Advances in Genetic Programming III , Research and Educational use only ’ (1999) (0)
Dynamic and Static Influence Models on Starbucks Networks (2009) (0)
Molecular Computation of Weighted Sum via Competitive Reaction In Vitro (2008) (0)
Generating Word Representations with Convolutional Neural Networks (2017) (0)
Dinucleotide Step Parameterization of Pre-miRNAs Using Multi-objective Evolutionary Algorithms (2007) (0)
ViStoryNet: Neural Networks with Successive Event Order Embedding and BiLSTMs for Video Story Regeneration (2018) (0)
Intelligent DNA learning system with multiple iterations of weight update (2018) (0)
On the Importance of Critical Period in Multi-stage Reinforcement Learning (2022) (0)
A Molecular Neural Network Based on Synaptic Transmission (2003) (0)
Cafebot : A Conversational Cashier Robot in Korean Cafes (2016) (0)
Selecting a Critical Subset of Given Examples during Learning (1994) (0)
Understanding Local Minima in Neural Networks by Loss Surface Decomposition (2018) (0)
An In Vitro DNA Hypernetwork for Digit Pattern Recognition (2008) (0)
Computerized Simulation and Experimental Analysis for Efficient Polymerase Chain Reaction (2005) (0)
Plasmid-DNAgram : Anagram Solving by Molecular Interactions in Living Cells by FRET between Variants of the Green Fluorescent Protein (2004) (0)
VLAS : A Vision-Language-Action Integrated System for Mobile Social Service Robots (2018) (0)
Modeling Orientation-Selectivity using Recurrent Neural Networks without Attractors (2009) (0)
FILTERING BOOSTED BY UNLABELED DATA (2001) (0)
Building Software Agents for Information Filtering on the Internet : A Genetic Programn ' : ting Approach * (2012) (0)
Video Streams Semantic Segmentation utilizing Multiple Channels with Different Time Granularity (2011) (0)
Text Filtering by Boosting Linear Perceptrons (2000) (0)
Object Recognition using Entropy Measure on Line Features (2005) (0)
Predictive Convolutional Networks for Learning Stream Data (2016) (0)
Evolutionary Learning of Hypernetwork Classifiers Based on Sequential Bayesian Sampling for High-dimensional Data ) (2012) (0)
Bayesian Genetic (2007) (0)
Identifying functional miRNA-mRNA modules based on hypergraph-based learning (2013) (0)
n-gram ?뚰떚?댁쓣 ?댁슜??踰좎씠吏???꾪꽣留?湲곕쾿 (2013) (0)
Design of Musical Words Based on Clustering for Pattern Classification and Information Retrieval of Music (2008) (0)
Smartphone-User Interactive based Self Developing Place-Time-Activity Coupled Prediction Method for Daily Routine Planning System (2015) (0)
Text-to-Image Generation based on Crossmodal Association with Hierarchical Hypergraphs (2013) (0)
Sensory Cue Integration with High-Order Deep Neural Networks (2016) (0)
Bayesian Filtering Method using n-gram Particle (2013) (0)
Hypernetworks: Evolutionaryfor Cognitive Learning and Memory (2008) (0)
Ligation module for in vitro selection in DNA computing (2005) (0)
Active Vision from Image-Text Multimodal System Learning (2016) (0)

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