Koji Tsuda
#157,470
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Japanese information scientist
Koji Tsuda's AcademicInfluence.com Rankings
Koji Tsudaphilosophy Degrees
Philosophy
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Logic
#5954
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#7420
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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
Why Is Koji Tsuda Influential?
(Suggest an Edit or Addition)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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Koji Tsuda is affiliated with the following schools: