Koji Tsuda

Q: What Schools Are Affiliated With Koji Tsuda

Koji Tsuda is affiliated with the following schools: University of Tokyo, Riken, Kyoto University

Koji Tsuda's AcademicInfluence.com Rankings

Koji Tsuda

Philosophy

#8946

World Rank

#12432

Historical Rank

Logic

#5954

World Rank

#7420

Historical Rank

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Philosophy

Koji Tsuda's Degrees

PhD Information Science University of Tokyo
Masters Information Science University of Tokyo
Bachelors Information Science University of Tokyo

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Koji Tsuda'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

An introduction to kernel-based learning algorithms (2001) (3641)
Kernel Methods in Computational Biology (2003) (963)
Marginalized Kernels Between Labeled Graphs (2003) (847)
A Primer on Kernel Methods (2004) (354)
Bayesian Inference and Optimal Design in the Sparse Linear Model (2008) (327)
Prediction of Low-Thermal-Conductivity Compounds with First-Principles Anharmonic Lattice-Dynamics Calculations and Bayesian Optimization. (2015) (277)
Support Vector Machine Applications in Computational Biology (2004) (260)
Fast protein classification with multiple networks (2005) (247)
Discriminative Subsequence Mining for Action Classification (2007) (223)
Matrix Exponentiated Gradient Updates for On-line Learning and Bregman Projection (2004) (221)
Marginalized kernels for biological sequences (2002) (208)
COMBO: An efficient Bayesian optimization library for materials science (2016) (203)
Machine learning with systematic density-functional theory calculations: Application to melting temperatures of single- and binary-component solids (2013) (188)
Designing Nanostructures for Phonon Transport via Bayesian Optimization (2016) (174)
ChemTS: an efficient python library for de novo molecular generation (2017) (170)
A New Discriminative Kernel from Probabilistic Models (2001) (155)
gBoost: a mathematical programming approach to graph classification and regression (2009) (150)
Kernels for graphs (2004) (139)
Link Propagation: A Fast Semi-supervised Learning Algorithm for Link Prediction (2009) (134)
Learning kernels from biological networks by maximizing entropy (2004) (129)
Statistical significance of combinatorial regulations (2013) (98)
Weighted Substructure Mining for Image Analysis (2007) (98)
Ultranarrow-Band Wavelength-Selective Thermal Emission with Aperiodic Multilayered Metamaterials Designed by Bayesian Optimization (2019) (96)
EPIBLASTER-fast exhaustive two-locus epistasis detection strategy using graphical processing units (2011) (94)
Enumeration of condition-dependent dense modules in protein interaction networks (2009) (93)
Selective integration of multiple biological data for supervised network inference (2005) (91)
Partial least squares regression for graph mining (2008) (90)
The em Algorithm for Kernel Matrix Completion with Auxiliary Data (2003) (87)
Accurate Splice Site Detection for Caenorhabditis elegans (2004) (87)
Hunting for Organic Molecules with Artificial Intelligence: Molecules Optimized for Desired Excitation Energies (2018) (82)
Crystal structure prediction accelerated by Bayesian optimization (2018) (81)
Clustering graphs by weighted substructure mining (2006) (80)
Machine-Learning-Guided Mutagenesis for Directed Evolution of Fluorescent Proteins. (2018) (78)
Sparse modeling of EELS and EDX spectral imaging data by nonnegative matrix factorization. (2016) (74)
CellTree: an R/bioconductor package to infer the hierarchical structure of cell populations from single-cell RNA-seq data (2016) (67)
Population-based de novo molecule generation, using grammatical evolution (2018) (67)
Network-based de-noising improves prediction from microarray data (2006) (66)
Machine learning reveals orbital interaction in materials (2017) (66)
Mining complex genotypic features for predicting HIV-1 drug resistance (2007) (65)
Acceleration of stable interface structure searching using a kriging approach (2016) (64)
Machine-learning prediction of the d-band center for metals and bimetals (2016) (63)
SCARNA: fast and accurate structural alignment of RNA sequences by matching fixed-length stem fragments (2006) (57)
Experimental design for efficient identification of gene regulatory networks using sparse Bayesian models (2006) (55)
Change-Point Detection using Krylov Subspace Learning (2007) (50)
PoSSuM: a database of similar protein–ligand binding and putative pockets (2011) (50)
Distribution Loss Minimization With Guaranteed Error Bound (2014) (50)
Simultaneous inference of biological networks of multiple species from genome-wide data and evolutionary information: a semi-supervised approach (2009) (49)
Learning to Find Graph Pre-images (2004) (48)
Machine-Learning-Assisted Development and Theoretical Consideration for the Al2Fe3Si3 Thermoelectric Material. (2019) (47)
Designing metamaterials with quantum annealing and factorization machines (2020) (46)
Structure prediction of boron-doped graphene by machine learning. (2018) (46)
Subspace classifier in the Hilbert space (1999) (46)
Support vector classifier with asymetric kernel function (1999) (46)
Efficient Error-tolerant Query Autocompletion (2013) (45)
Mining frequent stem patterns from unaligned RNA sequences (2006) (45)
Entire regularization paths for graph data (2007) (43)
MDTS: automatic complex materials design using Monte Carlo tree search (2017) (43)
A Fast Method of Statistical Assessment for Combinatorial Hypotheses Based on Frequent Itemset Enumeration (2014) (41)
Black-Box Optimization for Automated Discovery. (2021) (41)
Extracting straight lines by sequential fuzzy clustering (1996) (40)
Clustering with the Fisher Score (2002) (39)
Deep-learning-based quality filtering of mechanically exfoliated 2D crystals (2019) (38)
Mining Significant Substructure Pairs for Interpreting Polypharmacology in Drug-Target Network (2011) (38)
Health Checkup and Telemedical Intervention Program for Preventive Medicine in Developing Countries: Verification Study (2015) (37)
Learning to Predict the Leave-One-Out Error of Kernel Based Classifiers (2001) (35)
Selective Inference for Sparse High-Order Interaction Models (2017) (34)
Protein functional class prediction with a combined graph (2003) (34)
Marginalized kernels for RNA sequence data analysis. (2002) (34)
Asymptotic Properties of the Fisher Kernel (2004) (34)
On Pairwise Kernels: An Efficient Alternative and Generalization Analysis (2009) (32)
An interpretable machine learning model for diagnosis of Alzheimer's disease (2019) (31)
Machine Learning Meets Quantum Physics (2020) (30)
Propagating distributions on a hypergraph by dual information regularization (2005) (30)
Application of Bayesian Optimization for Pharmaceutical Product Development (2019) (30)
Generating Ampicillin-Level Antimicrobial Peptides with Activity-Aware Generative Adversarial Networks (2020) (29)
PDB‐scale analysis of known and putative ligand‐binding sites with structural sketches (2012) (29)
Image reconstruction by linear programming (2003) (29)
Data-driven approach for the prediction and interpretation of core-electron loss spectroscopy (2018) (29)
Functional Nanoparticles-Coated Nanomechanical Sensor Arrays for Machine Learning-Based Quantitative Odor Analysis. (2018) (28)
Modeling splicing sites with pairwise correlations (2002) (28)
Machine learning-driven optimization in powder manufacturing of Ni-Co based superalloy (2020) (28)
Safe Pattern Pruning: An Efficient Approach for Predictive Pattern Mining (2016) (28)
Monte Carlo tree search for materials design and discovery (2019) (28)
Tensor Balancing on Statistical Manifold (2017) (28)
A Kernel for Protein Secondary Structure Prediction (2004) (27)
Pairwise coupling for machine recognition of hand-printed Japanese characters (2001) (27)
Data-driven analysis of electron relaxation times in PbTe-type thermoelectric materials (2019) (26)
SlideSort: all pairs similarity search for short reads (2010) (25)
Graph Mining with Variational Dirichlet Process Mixture Models (2008) (24)
Submodularity Cuts and Applications (2009) (24)
Optimization of a Heterogeneous Ternary Li3PO4–Li3BO3–Li2SO4 Mixture for Li-Ion Conductivity by Machine Learning (2019) (24)
Integration of sonar and optical camera images using deep neural network for fish monitoring (2019) (24)
Graph Classification (2010) (23)
Inexact Matching String Kernels for Protein Classification (2004) (23)
Single versus Multiple Sorting in All Pairs Similarity Search (2010) (22)
Machine learning accelerates MD-based binding pose prediction between ligands and proteins (2017) (22)
Fast Westfall-Young permutation procedure for combinatorial regulation discovery (2013) (22)
Efficiently finding genome-wide three-way gene interactions from transcript- and genotype-data (2009) (21)
Prediction of Protein Function from Networks (2006) (21)
Multi-way set enumeration in weight tensors (2011) (21)
Privacy-Preserving Statistical Analysis by Exact Logistic Regression (2015) (21)
Efficient construction method for phase diagrams using uncertainty sampling (2018) (20)
Protein classification via kernel matrix completion (2003) (18)
Enhancing Biomolecular Sampling with Reinforcement Learning: A Tree Search Molecular Dynamics Simulation Method (2019) (18)
Kernel-Based Integration of Genomic Data Using Semidefinite Programming (2004) (18)
Privacy-preserving search for chemical compound databases (2015) (18)
CompRet: a comprehensive recommendation framework for chemical synthesis planning with algorithmic enumeration (2020) (18)
ROS-DET: robust detector of switching mechanisms in gene expression (2011) (17)
A Linear Programming Approach for Molecular QSAR analysis (2006) (17)
Bayesian optimization package: PHYSBO (2021) (17)
Support Vector Classi er with Asymmetric Kernel Functions (1998) (17)
Efficient recommendation tool of materials by an executable file based on machine learning (2019) (16)
Oblivious Evaluation of Non-deterministic Finite Automata with Application to Privacy-Preserving Virus Genome Detection (2014) (16)
A Quantum-Statistical-Mechanical Extension of Gaussian Mixture Model (2008) (16)
NMR-TS: de novo molecule identification from NMR spectra (2020) (16)
LAMPLINK: detection of statistically significant SNP combinations from GWAS data (2016) (16)
Legendre decomposition for tensors (2018) (15)
Information decomposition on structured space (2016) (15)
Reaction graph kernels predict EC numbers of unknown enzymatic reactions in plant secondary metabolism (2010) (15)
Transfer Learning to Accelerate Interface Structure Searches (2017) (15)
Machine Learning-Based Experimental Design in Materials Science (2018) (15)
SketchSort: Fast All Pairs Similarity Search for Large Databases of Molecular Fingerprints (2011) (14)
Fine-grained optimization method for crystal structure prediction (2018) (14)
Gene Expression Analysis: Joint Feature Selection and Classifier Design (2004) (14)
Comparative Analysis of Patient-Matched PDOs Revealed a Reduction in OLFM4-Associated Clusters in Metastatic Lesions in Colorectal Cancer (2021) (14)
Machine Learning Predictions of Factors Affecting the Activity of Heterogeneous Metal Catalysts (2018) (14)
RNA inverse folding using Monte Carlo tree search (2017) (14)
BDD construction for all solutions SAT and efficient caching mechanism (2015) (13)
Artificial Neural Networks Applied as Molecular Wave Function Solvers. (2020) (13)
Pushing property limits in materials discovery via boundless objective-free exploration† †Electronic supplementary information (ESI) available: The details of BLOX and experimental spectroscopic data. See DOI: 10.1039/d0sc00982b (2020) (13)
Subspace information criterion for nonquadratic regularizers-Model selection for sparse regressors (2002) (12)
Realization of closed-loop optimization of epitaxial titanium nitride thin-film growth via machine learning (2021) (12)
Kernel-based Similarity Search in Massive Graph Databases with Wavelet Trees (2011) (12)
Li-Ion Conductive Li3PO4-Li3BO3-Li2SO4 Mixture: Prevision through Density Functional Molecular Dynamics and Machine Learning (2018) (11)
Minimizing the Cross Validation Error to Mix Kernel Matrices of Heterogeneous Biological Data (2004) (11)
Mining expression-dependent modules in the human interaction network (2007) (10)
Significant Pattern Mining with Confounding Variables (2016) (10)
A generative model for molecule generation based on chemical reaction trees (2021) (10)
Improving the Accuracy of Protein‐Ligand Binding Mode Prediction Using a Molecular Dynamics‐Based Pocket Generation Approach (2018) (10)
Iterative Subgraph Mining for Principal Component Analysis (2008) (10)
Fast Kernels for String and Tree Matching (2004) (10)
The DICS repository: module-assisted analysis of disease-related gene lists (2009) (10)
Using molecular dynamics simulations to prioritize and understand AI-generated cell penetrating peptides (2021) (10)
Discovering combinatorial interactions in survival data (2013) (9)
Loss Minimization of Power Distribution Networks with Guaranteed Error Bound (2012) (9)
Cartesian Kernel: An Efficient Alternative to the Pairwise Kernel (2010) (9)
Optimal hyperplane classifier based on entropy number bound (1999) (9)
The Leave-One-Out Kernel (2002) (9)
Efficient Construction of Neighborhood Graphs by the Multiple Sorting Method (2009) (8)
Subspace classifier in reproducing kernel Hilbert space (1999) (8)
MP-LAMP: parallel detection of statistically significant multi-loci markers on cloud platforms (2018) (8)
Determination of quasi-primary odors by endpoint detection (2021) (7)
Multi-way set enumeration in real-valued tensors (2009) (7)
Heterogeneous Data Comparison and Gene Selection with Kernel Canonical Correlation Analysis (2004) (7)
Frequent Subgraph Retrieval in Geometric Graph Databases (2008) (7)
De novo creation of a naked eye–detectable fluorescent molecule based on quantum chemical computation and machine learning (2022) (7)
evERdock BAI: Machine-learning-guided selection of protein-protein complex structure. (2019) (7)
Discovery of polymer electret material via de novo molecule generation and functional group enrichment analysis (2021) (6)
Fast and More Powerful Selective Inference for Sparse High-order Interaction Model (2021) (6)
Efficient query autocompletion with edit distance-based error tolerance (2019) (6)
CrySPY: a crystal structure prediction tool accelerated by machine learning (2021) (6)
Graph Mining in Chemoinformatics (2010) (5)
Matrix Factorization for Automatic Chemical Mapping from Electron Microscopic Spectral Imaging Datasets (2016) (5)
Clustering OCR-ed texts for browsing document image database (1995) (5)
DenseZDD: A Compact and Fast Index for Families of Sets (2014) (5)
Efficient Search for Energetically Favorable Molecular Conformations against Metastable States via Gray-Box Optimization. (2021) (5)
Sequential fuzzy cluster extraction and its robustness against noise (1997) (5)
A Bayesian Approach to Graphy Regression with Relevant Subgraph Selection (2009) (5)
Machine-Learning-Guided Library Design Cycle for Directed Evolution of Enzymes: The Effects of Training Data Composition on Sequence Space Exploration (2021) (5)
A New Variational Framework for Rigid-Body Alignment (2004) (5)
Molecular generation by Fast Assembly of (Deep)SMILES fragments (2021) (5)
Expanding the horizon of automated metamaterials discovery via quantum annealing (2019) (4)
First-principles study of electronic structures and elasticity of Al2Fe3Si3 (2021) (4)
An in silico model for interpreting polypharmacology in drug-target networks. (2013) (4)
NIPS workshop on New Problems and Methods in Computational Biology (2007) (4)
The subspace method in Hilbert space (2001) (4)
Graph kernels for chemoinformatics (2010) (4)
Data integration for accelerated materials design via preference learning (2019) (4)
A Primer on KernelMethods (2004) (4)
Redesigning pattern mining algorithms for supercomputers (2015) (4)
Predictive Approaches for Low-Cost Preventive Medicine Program in Developing Countries (2015) (4)
LGM: Mining Frequent Subgraphs from Linear Graphs (2011) (3)
Graph Classification Methods in Chemoinformatics (2011) (3)
Safe Feature Pruning for Sparse High-Order Interaction Models (2015) (3)
Machine learning with quantum relative entropy (2009) (3)
Determinants of bone health in elderly Japanese men: study design and key findings of the Fujiwara-kyo Osteoporosis Risk in Men (FORMEN) cohort study (2021) (3)
Low pH structure of heliorhodopsin reveals chloride binding site and intramolecular signaling pathway (2022) (3)
Continuous black-box optimization with quantum annealing and random subspace coding (2021) (3)
Statistically significant subgraphs for genome-wide association study (2014) (3)
Vision-based egg quality prediction in Pacific bluefin tuna (Thunnus orientalis) by deep neural network (2021) (3)
Continuous black-box optimization with an Ising machine and random subspace coding (2022) (3)
On a linear fused Gromov-Wasserstein distance for graph structured data (2022) (2)
Designing Nanostructures for Interfacial Phonon Transport via Bayesian Optimization (2016) (2)
Machine learning reveals orbital interaction in crystalline materials (2017) (2)
Machine-learning-guided library design cycle for directed evolution of enzymes: the effects of training data composition on sequence space exploration (2021) (2)
Protein Structure and Function Fast protein classification with multiple networks (2005) (2)
Site Density Functional Theory and Structural Bioinformatics Analysis of the SARS-CoV Spike Protein and hACE2 Complex (2022) (2)
Hybrid algorithm of Bayesian optimization and evolutionary algorithm in crystal structure prediction (2022) (2)
Exploring Successful Parameter Region for Coarse-Grained Simulation of Biomolecules by Bayesian Optimization and Active Learning (2020) (2)
Understanding the evolution of a de novo molecule generator via characteristic functional group monitoring (2022) (2)
Fe-Al-Si Thermoelectric (FAST) Materials and Modules: Diffusion Couple and Machine-Learning-Assisted Materials Development. (2021) (2)
Computer Vision-Based Approach for Quantifying Occupational Therapists' Qualitative Evaluations of Postural Control (2020) (2)
Matrix Decomposition-based Dimensionality Reduction on Graph Data (2011) (2)
Fast Statistical Assessment for Combinatorial Hypotheses Based on Frequent Itemset Mining (2014) (2)
Advanced Application of Support Vector Machines (2004) (2)
Multiple Testing Tool to Detect Combinatorial Effects in Biology. (2018) (2)
On the performance of methods for finding a switching mechanism in gene expression. (2010) (1)
Machine learning to reveal hidden risk combinations for the trajectory of posttraumatic stress disorder symptoms (2020) (1)
Bayesian Optimization in Materials Science (2020) (1)
Transductive Boltzmann Machines (2018) (1)
Prefusion conformation of SARS-CoV-2 receptor-binding domain favours interactions with human receptor ACE2 (2021) (1)
Subspace Information Criterion for Sparse Regressors (2001) (1)
RNAmine : Frequent Stem Pattern Miner from RNAs (2006) (1)
Machine Learning Analysis for Photo-Induced Phenomena of 1-Methyl-3-(N-(1,8- Naphthalimidyl)ethyl)imidazolium Salts (2020) (1)
Meta Learning : Learning to Predict the Leave – one – out Error (2007) (1)
Superset Generation on Decision Diagrams (2015) (1)
Effects of data bias on machine-learning–based material discovery using experimental property data (2022) (1)
Compact Complete Inverted Files for Texts and Directed Acyclic Graphs Based on Sequence Binary Decision Diagrams (2013) (1)
RNA inverse folding using Monte Carlo tree search (2017) (1)
Generating reaction trees with cascaded variational autoencoders. (2022) (1)
Leveraging algorithmic search in quantum chemical reaction path finding. (2022) (1)
Selective Inference for High-order Interaction Features Selected in a Stepwise Manner (2021) (1)
QCforever: A Quantum Chemistry Wrapper for Everyone to Use in Black-Box Optimization (2022) (1)
Mining and Learning with Graphs, MLG 2007, Firence, Italy, August 1-3, 2007, Proceedings (2007) (1)
Selective Inference Approach for Statistically Sound Predictive Pattern Mining (2016) (1)
Logistic Regression for Graph Classification (2008) (1)
A nonparametric density model for classification in a high dimensional space (1997) (1)
1 Supporting Information for Privacy-preserving search for chemical compound databases (2015) (1)
A New Variational Framework for Rigid - (2004) (1)
3D-Sensitive Encoding of Pharmacophore Features. (2023) (0)
Self-learning Entropic Population Annealing for Interpretable Materials Design (2022) (0)
Machine Learning in Computational Biology (2007) (0)
Probing Conformational Dynamics of Antibodies with Geometric Simulations. (2021) (0)
NIMS-OS: An automation software to implement a closed loop between artificial intelligence and robotic experiments in materials science (2023) (0)
Approximating Incomplete Kernel Matrices by the em Algorithm (2002) (0)
Mining significant substructure-substructure pairs in structural associations (2009) (0)
A Regularisation Path-Following Approach for Discovering Interactions in High-Dimensional Survival Data (2013) (0)
CellTree: an R/bioconductor package to infer the hierarchical structure of cell populations from single-cell RNA-seq data (2016) (0)
A machine-learning-guided mutagenesis platform for accelerated discovery of novel functional proteins (2018) (0)
Data-driven approach for the prediction and interpretation of core-electron loss spectroscopy (2018) (0)
Online Matrix Prediction with Log-Determinant Regularizer (2014) (0)
Gene Selection for Microarray Data (2004) (0)
Methods of Kernel Design (2002) (0)
1 Kernels for Graphs (2004) (0)
Matrix Exponential Updates for On-line Learning and Bregman Projection (0)
A novel ultra-fast comparison method for known and potential ligand-binding sites of proteins (2011) (0)
2PT005 PoSSuM : a database for searching similar pairs of known and potential ligand-binding sites in proteins(The 50th Annual Meeting of the Biophysical Society of Japan) (2012) (0)
Privacy-preserving search for chemical compound databases (2015) (0)
Bias-Variance Decomposition for Boltzmann Machines (2018) (0)
Preface: New Trends in Statistical Information Processing (2003) (0)
Non-coding RNA finding based on probabilistic secondary structure information (2004) (0)
Data Mining for Biologists (2012) (0)
Large margin classifier via semiparametric inference (2000) (0)
Data Fusion with Kernel Methods (2004) (0)
Vision and Image Processing Detection of Steganography in Images Using Statistical Models (2009) (0)
Mathematical Programming Methods for Learning from Structured Data: Applications to Molecular QSAR Analysis, HIV Drug Resistance Prediction, and Image Categorisation (2007) (0)
Selective Integration of Multiple Genomic Data for Biological Network Inference (2004) (0)
SlideSort: Fast and exact algorithm for Next Generation Sequencing data analysis (2011) (0)
An Efficient Post-Selection Inference on High-Order Interaction Models (2015) (0)
Second Workshop on Algorithms for Large-Scale Information Processing in Knowledge Discovery (ALSIP) (2011) (0)
ChIP2LAMP: Pipeline for combinatorial transcriptional regulation discovery from ChIP-seq and RNA-seq results (2015) (0)
A Novel Kernel Method for RNA Sequence Data Analysis 1 Marginalized Kernels for RNA Sequence Data Analysis (2002) (0)
Reaction graph kernels for discovering missing enzymes in the plant secondary metabolism (2007) (0)
Dense module enumeration in biological networks. (2013) (0)
Graph Mining for Virtual Screening (2009) (0)
Pattern Recognition Method for Metric Space by Four Points Embedding (1998) (0)
Inferring and visualising the hierarchical tree structure of Single-Cell RNA-seq Data data with the cellTree package (2016) (0)
Subspace Classier in the Hilbert Space (1999) (0)
2P029 An Exhaustive Search of Known and Unknown Protein-Ligand Binding Sites with A Fast Alignment-Free Method(The 48th Annual Meeting of the Biophysical Society of Japan) (2010) (0)
Fast Iterative Mining Using Sparsity-Inducing Loss Functions (2013) (0)
Density‐Based Set Enumeration in Structured Data (2012) (0)
No . TR-101 Image Reconstruction by Linear Programming (2003) (0)
Data and text mining Enumeration of condition-dependent dense modules in protein interaction networks (2009) (0)
Identification of molecules by de novo molecule generation from NMR spectra (2019) (0)
Integrating Incompatible Assay Data Sets with Deep Preference Learning (2021) (0)
Supplemental Article S 1 Title : An interpretable machine learning model for diagnosis of Alzheimer ’ s disease (2019) (0)
Research on Al-Fe-Si Thermoelectric Material toward Autonomous Power Supply: Experiment, Theoretical Calculation, and Machine Learning Prediction (2018) (0)
1 Protein Classification via Kernel Matrix Completion (0)
The v-Trick for Image Reconstruction (2004) (0)
Graph boosting for molecular QSAR analysis (2006) (0)
Machine learning of experimental thermoelectric properties on literatures (2019) (0)
Image Construction by Linear Programming (2004) (0)
A Compact and Fast Index Structure for Families of Sets (2014) (0)
An Alignment Algorithm by Matching Fixed-Length Stem Fragments for Comparing RNA Sequences (2005) (0)
Can Machine Learning Guide Directed Evolution of Functional Proteins (2020) (0)
Automatic Rietveld refinement by robotic process automation with RIETAN-FP (2022) (0)
Prediction of Material Properties of Inorganic Compounds Using Self-Attention Network (2023) (0)
Exploring the Quantum Chemical Energy Landscape with GNN-Guided Artificial Force (2023) (0)
United States Patent ( 10 ) Patent No . : US 8 , 160 , 668 B 2 Pav ( 45 ) Date of Patent : Apr . 17 , 2012 ( 54 ) PATHOLOGICAL CONDITION DETECTOR 3 (2017) (0)
SLIDESORT : Developing an exact method to find similar pairs with small edit-distance (2011) (0)
Application of Bayesian Optimization for Pharmaceutical Product Development (2019) (0)
Crystal Structure Prediction by Bayesian Optimization and Evolutionary Algorithm (2019) (0)
Understanding Chemical Processes with Entropic Sampling (2022) (0)
Rediscovering Armstrong’s quinoid theory with machine learning using quantum chemistry (2022) (0)
Machine Learning Algorithm for High-Order Interaction Modeling (2017) (0)
DESIGNING NANOSTRUCTURES FOR HEAT TRANSPORT VIA MATERIALS INFORMATICS (2018) (0)
Dense module enumeration in biological networks (2009) (0)
Ultra-Narrowband Wavelength-Selective Thermal Emitter Designed by Bayesian Optimization (2018) (0)
Online matrix prediction for sparse loss matrices (2014) (0)
Maximum Likelihood Superposition of Protein Structures (2003) (0)
Integrating Incompatible Assay Data Sets with Deep Preference Learning (2021) (0)
Quantum Annealing Designs Nonhemolytic Antimicrobial Peptides in a Discrete Latent Space (2023) (0)
Selection of target-binding proteins from the information of weakly enriched phage display libraries by deep sequencing and machine learning (2023) (0)
Application of Next-Generation Sequencing Analysis in the Directed Evolution for Creating Antibody Mimic (2021) (0)
Kernels for Biological Data (2004) (0)
Legendre Tensor Decomposition (2018) (0)
Additional file 9 of CellTree: an R/bioconductor package to infer the hierarchical structure of cell populations from single-cell RNA-seq data (2016) (0)
BIOINFORMATICS Enumeration of condition-dependent dense modules in protein interaction networks (2009) (0)
Machine Algorithm for High-Order (2017) (0)
Design of new thermoelectric materials by the informatics of experimental data on Starrydata (2020) (0)
Optimal Hyperplane Classier with Adaptive Norm (1999) (0)
Enumeration of Condition-Specific Dense Modules in Protein Interaction Networks (2008) (0)
Artificial neural network encoding of molecular wavefunctions for quantum computing (2023) (0)
Machine-learning-guided Protein Design (2021) (0)
Structured Input - Structured Output (2008) (0)

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What Schools Are Affiliated With Koji Tsuda?

Koji Tsuda is affiliated with the following schools: