yusuke1997/dblp-id-title huggingface dataset:
A voxel-based representation for evolutionary shape optimization
A generic ontology-based approach for requirement analysis and its application in network management software
ADD+: Including rhetorical structures in active documents
Toward an automated approach to the design of sheet metal components
Modeling dialogue with mixed initiative in design space exploration
Special Issue: Machine Learning in Design
Knowledge compilation using constraint inheritance
A function-behavior-structure ontology of processes
Educational background's impact on designers' ideation: brain, behavior, and stress
Interval constraint networks for tolerance analysis and synthesis
Methodology to design ontologies from organizational models: application to creativity workshops
That which is not form: The practical challenges in using functional concepts in design
Linear kitchen layout design via machine learning
Special Issue: What is Concurrent Engineering?
Machine learning for simulation-based support of early collaborative design
Intelligent gradient-based search of incompletely defined design spaces
Intelligent product redesign strategy with ontology-based fine-grained sentiment analysis
Using speech to identify gesture pen strokes in collaborative, multimodal device descriptions
Evolving blackbox quantum algorithms using genetic programming
Developing a method for creating structured representations of working of systems from natural language descriptions using the SAPPhIRE model of causality
Topology-informed information dynamics modeling in cyber-physical-social system networks
MSG: A computer system for automated modeling of heat transfer
Shape computations with NURB curves
A typology of design space explorers
Qualitative modeling and analysis of lateral load resistance in frames
Special Issue: Configuration Design
Unveiling the structure of the Marrakech Medina: A shape grammar and an interpreter for generating urban form
Personalized diagnoses for inconsistent user requirements
Digital design and manufacturing on the cloud: A review of software and services
Multidisciplinary concurrent optimization framework for multi-phase building design process
Constraint solving for direct manipulation of features
Adaptive-growth-type 3D representation for configuration design
Symbolic computing in engineering design
Special Issue: Topological representation and reasoning in design and manufacturing
Evolutionary learning of novel grammars for design improvement
A tangible design tool for sketching materials in products
Learning engineering: The key to automatic knowledge acquisition
A parametric design assistant for concurrent engineering
The application of fuzzy neural network techniques in constructing an adaptive car-following indicator
Reexamining the relationship between design performance and the design process using reflection in action
Reinforcement learning-based collision avoidance: impact of reward function and knowledge transfer
New access services in HbbTV based on a deep learning approach for media content analysis
Using a manufacturing constraint network to identify cost-critical areas of designs
Determining the cost optimum among a discrete set of building technologies to satisfy stringent energy targets
Diagnosability evaluation of systems using bipartite graph and matrix approach
Rule-based generation of exploded-views and assembly sequences
Prediction of stress in fillet portion of spur gears using artificial neural networks
Special Issue: Constraints and design
Machine learning model to predict tensile properties of annealed Ti6Al4V parts prepared by selective laser melting
Efficient probabilistic grammar induction for design
Seeing is believing: A common sense theory of the adoption of perception-based beliefs
The influence of immersion and presence in early stage engineering designing and building
Automatic ontology creation using adaptation
Knowledge-based CAD system for protective packaging design
Generalized set-propagation operations over relations of more than three variables
Function- and constraint-based conceptual design support using easily exchangeable, reusable principle solution elements
A shortest path method for sequential change propagations in complex engineering design processes
The Virtual Design Team: Modeling organizational behavior of concurrent design teams
Self-configuring components approach to product variant development
Comparing two evolutionary algorithm based methods for layout generation: Dense packing versus subdivision
From design experiences to generic mechanisms: Model-based learning in analogical design
Special Issue: Design Computing and Cognition
A comparative review on the role of stimuli in idea generation
Empathic creativity: can trait empathy predict creative concept generation and selection?
Modeling detailed design knowledge with the extended structure-behavior-function model
Thoughts on benchmarking of function modeling: Why and how
Acquiring engineering knowledge from design processes
Hidden Markov model-based digital twin construction for futuristic manufacturing systems
SSIEA: a hybrid evolutionary algorithm for supporting conceptual architectural design
The design studio "crit": Teacher-student communication
Introduction: Issues in case-based design systems
Special Issue: Research Methodology
Scientific design rationale
The SUFFICIENT-POINTS family of propagation operations for intervals on simultaneous linear equations
Reality brings excitement to engineering education
Selecting the architecture of a class of back-propagation neural networks used as approximators
Taxonomy for classifying engineering decision problems and support systems
Parametric, grammatical, and perceptual iterations on structural design synthesis
Toward an expert system for damage assessment of structural concrete elements
Discursive design thinking: The role of explicit knowledge in creative architectural design reasoning
Model-based diagnosis of the space shuttle main engine
Multilevel modelling for engineering design optimization
Causal reasoning using geometric analysis
The effects of generative AI model type and visual stimuli type on design creativity
Learning in design: From characterizing dimensions to working systems
Intelligent control of complex materials processes
Modelling conflict management in design: An explicit approach
Play-it-by-eye! Collect movies and improvise perspectives with tangible video objects
Antecedence and consequence in design rationale systems
Demonstration, extension, and refinement of the re-proposed notion of design abduction
Knowledge-based inspection planning
Applications of artificial intelligence and cognitive science in design
A compositional approach to modelling design rationale
Algorithmic complexity of shape grammar implementation
Deriving a construct from site specific data: a knowledge level analysis
A dynamic knowledge modeler
Tangible interactions in a digital age: Medium and graphic visualization in design journals
An ontology of situated design teams
Toward automating affordance-based design
The DOMAIN family of propagation operations for intervals on simultaneous linear equations
An analysis of functional modeling approaches across disciplines
Architecture and design of a diagnostic information fusion system
System architecture design
Real-time multidimensional detection of longitudinal tears in conveyor belts using FPGA-based parallel acceleration
Design problem solving with biological analogies: A verbal protocol study
Analyzing cognitive processes of a product/service-system design session using protocol analysis
Homogeneous chaos basis adaptation for design optimization under uncertainty: Application to the oil well placement problem
Stacking ensemble learning based material removal rate prediction model for CMP process of semiconductor wafer
The Edinburgh Designer System as a framework for robotics: the design of behavior
An approach to the analysis of design concepts using the rough set theory
Generation of human-robot collaboration disassembly sequences for end-of-life lithium-ion batteries based on knowledge graph
Special Issue: Evolutionary Design
Case-based reasoning and system design: An integrated approach based on ontology and preference modeling
Special Issue: Human-computer interaction in engineering contexts
Sitting posture detection and recognition of aircraft passengers using machine learning
The effect of representation of triggers on design outcomes
Investigating vehicle interior designs using models that evaluate user sensory experience and perceived value
Design and development of sign language questionnaires based on video and web interfaces
A physical modeling assistant for the preliminary stages of finite element analysis
A framework for design verification and evaluation systems
Gamification of design thinking: a way to enhance effectiveness of learning
Special Issue: AI in equipment service
A method for choosing adapted life cycle assessment indicators as a driver of environmental learning: a French textile case study
Aesthetic evolutionary algorithm for fractal-based user-centered jewelry design
Discovering implicit constraints in design
On combinatorial design spaces for the configuration design of product families
Engineering design synthesis: a domain independent representation
Design of combinational logic circuits through an evolutionary multiobjective optimization approach
Computing the creativeness of amusing advertisements: A Bayesian model of Burma-Shave's muse
A 3D, performance-driven generative design framework: automating the link from a 3D spatial grammar interpreter to structural finite element analysis and stochastic optimization
Design opportunity conception using the total technology space map
Fleet optimization considering overcapacity and load sharing restrictions using genetic algorithms and ant colony optimization
Languages and semantics of grammatical discrete structures
Deployment of robotic agents in uncertain environments: game theoretic rules and simulation studies
Design characteristics and aesthetics in evolutionary design of architectural forms directed by fuzzy evaluation
MAPCon: a case study in a configuration expert system
Formal methods for the validation of automotive product configuration data
Analogical thinking: An introduction in the context of design
Configuration of progressive dies
Intelligent automated quality control for computational simulation
No zero match browsing of hierarchically categorized information entities
Energy efficiency, robustness, and makespan optimality in job-shop scheduling problems
Learning from the past, peering into the future: 25 Years of AI EDAM
Fault prognostics using dynamic wavelet neural networks
Improving design problem formulations using machine learning
Parametric optimization of FDM using the ANN-based whale optimization algorithm
Linguistic support for concept selection decisions
A robust system reliability analysis using partitioning and parallel processing of Markov chain
Evolutionary layout design synthesis of an autonomous greenhouse using product-related dependencies
Design agents that learn
A novel intelligent fault diagnosis method of bearing based on multi-head self-attention convolutional neural network
Efficient hybrid group search optimizer for assembling printed circuit boards
An expert system approach to design of automotive air-conditioning systems
Coevolutionary and genetic algorithm based building spatial and structural design
Inductive machine learning of optimal modular structures: Estimating solutions using support vector machines
BLIPS-PA: a qualitative-physics-based method for fault causality and probabilistic analysis of novel designs
Evaluating daylight performance of AI-generated housing plans via diffusion models and climate-based simulation
A foundation for machine learning in design
Function and behavior representation in conceptual mechanical design
Exploratory design using constraints
Mechanization of spatial reasoning for automatic pipe layout design
A framework for design engineering education in a global context
Affordances: Commentary on the Special Issue of AI EDAM
A communication model to aid knowledge-based design systems
Dexen: A scalable and extensible platform for experimenting with population-based design exploration algorithms
From general design theory to knowledge-intensive engineering
Enhancing TRIZ through environment-based design methodology supported by a large language model
Breaking up data-enabled design: expanding and scaling up for the clinical context
Engineering vision: Considerations in a meaningful approach to conceptual design
Guidelines for the selection of network architecture
Convolutional autoencoder for on-demand parametric inverse design of local resonator geometry in wind turbine metastructure targeting vibration control
Learning symbolic formulations in design: Syntax, semantics, and knowledge reification
A declarative framework for work process configuration
Challenges in the industrial implementation of generative design systems: An exploratory study
A shape grammar for the building-type definition of the ancient Greek and Roman library and the evaluation of library plans
Modelling Business processes and enterprise activities at the knowledge level
A methodology for supporting "transfer" in biomimetic design
Rediscovering the analysis of interconnected decision areas
A feature ontology to support construction cost estimating
Exploiting lattice structures in shape grammar implementations
Reuse of constraint knowledge bases and problem solvers explored in engineering design
Evaluating the effectiveness of InDeaTe tool in supporting design for sustainability
Integrating different perspectives on design rationale: Supporting the emergence of design rationale from design communication
Special Section: Evolutionary Design
AI EDAM at 20: Artificial intelligence in designing
Formal graph languages of shape
Agents for multidisciplinary design in virtual worlds
A study in applying case-based reasoning to engineering design: Mechanical bearing design
The routine design-modular distributed modeling platform for distributed routine design and simulation-based testing of distributed assemblies
Improving Bayesian Local Spatial Models in Large Datasets
Predictive Distribution Modeling Using Transformation Forests
Iterated Data Sharpening
Fast Computer Model Calibration using Annealed and Transformed Variational Inference
Scaled Torus Principal Component Analysis
A Pseudo-Likelihood Approach to Linear Regression With Partially Shuffled Data
Low-rank, Orthogonally Decomposable Tensor Regression With Application to Visual Stimulus Decoding of fMRI Data
Sampling Based Estimation of In-Degree Distribution for Directed Complex Networks
Stability Approach to Regularization Selection for Reduced-Rank Regression
The q-q Boxplot
Maximum Likelihood Estimation and Graph Matching in Errorfully Observed Networks
Local Gaussian Process Extrapolation for BART Models with Applications to Causal Inference
Finite-Sample Two-Group Composite Hypothesis Testing via Machine Learning
Co-Factor Analysis of Citation Networks
An Optimal Transport Approach for Selecting a Representative Subsample with Application in Efficient Kernel Density Estimation
Double Probability Integral Transform Residuals for Regression Models with Discrete Outcomes
Fast Cross-validation for Multi-penalty High-dimensional Ridge Regression
Particle MCMC With Poisson Resampling: Parallelization and Continuous Time Models
Tensor Canonical Correlation Analysis With Convergence and Statistical Guarantees
Hammock Plots: Visualizing Categorical and Numerical Variables
smashGP: Large-Scale Spatial Modeling via Matrix-Free Gaussian Processes
Analytic Permutation Testing for Functional Data ANOVA
Nonparametric Anomaly Detection on Time Series of Graphs
Sequential Learning of Active Subspaces
Persistence Flamelets: Topological Invariants for Scale Spaces
Bayesian Trend Filtering via Proximal Markov Chain Monte Carlo
TSLiNGAM: DirectLiNGAM Under Heavy Tails
On Exact Computation of Tukey Depth Central Regions
Numerical Tolerance for Spectral Decompositions of Random Matrices and Applications to Network Inference
Fast Multilevel Functional Principal Component Analysis
Multiple Imputation Through XGBoost
Method G: Uncertainty Quantification for Distributed Data Problems Using Generalized Fiducial Inference
Is This Normal? A New Projection Pursuit Index to Assess a Sample Against a Multivariate Null Distribution
Multivariate Moment Least-Squares Variance Estimators for Reversible Markov Chains
Finite Mixtures of Multivariate Wrapped Normal Distributions for Model Based Clustering of p -Torus Data
Importance Sampling-Based Transport Map Hamiltonian Monte Carlo for Bayesian Hierarchical Models
Global Inference and Test for Eigensystems of Imaging Data Over Complicated Domains
Variable Screening for Sparse Online Regression
Accurate and Ultra-Efficient p -Value Calculation for Higher Criticism Tests
Delayed Acceptance ABC-SMC
Optimal Subsampling for Functional Quasi-Mode Regression with Big Data
Bayesian Shrinkage for Functional Network Models, With Applications to Longitudinal Item Response Data
On Data Augmentation for Models Involving Reciprocal Gamma Functions
Adaptive Wavelet Domain Principal Component Analysis for Nonstationary Time Series
Revisiting Convolutional Neural Networks from the Viewpoint of Kernel-Based Methods
Group-Orthogonal Subsampling for Hierarchical Data Based on Linear Mixed Models
Graphical Influence Diagnostics for Changepoint Models
Directional Quantile Classifiers
Bayesian Spatial Clustering of Extremal Behavior for Hydrological Variables
Model Based Screening Embedded Bayesian Variable Selection for Ultra-high Dimensional Settings
Scalable Computation of Predictive Probabilities in Probit Models with Gaussian Process Priors
Zig-Zag Sampling for Discrete Structures and Nonreversible Phylogenetic MCMC
Nonparametric Additive Models for Billion Observations
Exactly Uncorrelated Sparse Principal Component Analysis
Bayesian Hyperbolic Multidimensional Scaling
Bayesian L 1/2 Regression
A Tidy Framework and Infrastructure to Systematically Assemble Spatio-temporal Indexes from Multivariate Data
Exploiting Disagreement Between High-Dimensional Variable Selectors for Uncertainty Visualization
Nonreversible Jump Algorithms for Bayesian Nested Model Selection
A Bayesian Collocation Integral Method for Parameter Estimation in Ordinary Differential Equations
Using Early Rejection Markov Chain Monte Carlo and Gaussian Processes to Accelerate ABC Methods
Bayesian Nowcasting with Laplacian-P-Splines
A Scalable Hierarchical Lasso for Gene-Environment Interactions
Trimmed Constrained Mixed Effects Models: Formulations and Algorithms
Fast Univariate Inference for Longitudinal Functional Models
Variable Selection with Multiply-Imputed Datasets: Choosing Between Stacked and Grouped Methods
Model-Based Tensor Low-Rank Clustering
Metaheuristic Solutions to Order-of-Addition Design Problems
Loss-Based Variational Bayes Prediction
Improved Pathwise Coordinate Descent for Power Penalties
Efficient Parameter Sampling for Markov Jump Processes
Testing Model Specification in Approximate Bayesian Computation Using Asymptotic Properties
Bayesian Distance Weighted Discrimination
Modeling Massive Highly Multivariate Nonstationary Spatial Data with the Basis Graphical Lasso
Linear Aggregation in Tree-Based Estimators
Covariance-Based Rational Approximations of Fractional SPDEs for Computationally Efficient Bayesian Inference
Bootstrap Inference for Linear Time-Varying Coefficient Models in Locally Stationary Time Series
An Adaptive Neural Network Regression Method for Structure Identification
Nonparametric High-Dimensional Multi-Sample Tests based on Graph Theory
Popularity Adjusted Block Models are Generalized Random Dot Product Graphs
EDI-Graphic: A Tool To Study Parameter Discrimination and Confirm Identifiability in Black-Box Models, and to Select Data-Generating Machines
Massive Parallelization of Massive Sample-Size Survival Analysis
Multifold Cross-Validation Model Averaging for Generalized Additive Partial Linear Models
Continuous-Time Multivariate Analysis
Structured Variational Approximations with Skew Normal Decomposable Graphical Models and Implicit Copulas
Sparse Single Index Models for Multivariate Responses
Globally Centered Autocovariances in MCMC
Massive Parallelization Boosts Big Bayesian Multidimensional Scaling
Latent Network Estimation and Variable Selection for Compositional Data Via Variational EM
Population Quasi-Monte Carlo
Measure of Strength of Evidence for Visually Observed Differences between Subpopulations
Efficient Optimization of Partition Scan Statistics via the Consecutive Partitions Property
Comparison and Bayesian Estimation of Feature Allocations
Hole or Grain? A Section Pursuit Index for Finding Hidden Structure in Multiple Dimensions
Asymptotically Exact Data Augmentation: Models, Properties, and Algorithms
Beyond Time-Homogeneity for Continuous-Time Multistate Markov Models
Functional Time Series Analysis and Visualization Based on Records
Burning Sage: Reversing the Curse of Dimensionality in the Visualization of High-Dimensional Data
Approximating Partial Likelihood Estimators via Optimal Subsampling
Challenges in Interpreting Epidemiological Surveillance Data - Experiences from Germany
Data Nuggets: A Method for Reducing Big Data While Preserving Data Structure
JCGS Editorial Collaborators
Inference and Computation for Sparsely Sampled Random Surfaces
A Fast and Accurate Approximation to the Distributions of Quadratic Forms of Gaussian Variables
Fast Forecast Reconciliation Using Linear Models
Global Consensus Monte Carlo
Identifying Heterogeneous Effect Using Latent Supervised Clustering With Adaptive Fusion
Semi-Complete Data Augmentation for Efficient State Space Model Fitting
A Projection Approach to Local Regression with Variable-Dimension Covariates
Estimating Multiple Precision Matrices With Cluster Fusion Regularization
Penalized Quantile Regression for Distributed Big Data Using the Slack Variable Representation
Reproducible Hyperparameter Optimization
Frequency Domain Calculation of Seasonal VARMA Autocovariances
Fast Marginal Likelihood Estimation of Penalties for Group-Adaptive Elastic Net
Augmentation Samplers for Multinomial Probit Bayesian Additive Regression Trees
Joint Modeling of Longitudinal Imaging and Survival Data
Dimension Reduction for Outlier Detection Using DOBIN
MCMC Algorithms for Posteriors on Matrix Spaces
Fast and Scalable Algorithm for Detection of Structural Breaks in Big VAR Models
A Geometric Algorithm for Contrastive Principal Component Analysis in High Dimension
Variational Bayes in State Space Models: Inferential and Predictive Accuracy
Lessons from West Virginia's Pandemic Response
Eigen-Adjusted Functional Principal Component Analysis
Multiple-Use Calibration for All Future Values and Exact Two-Sided Simultaneous Tolerance Intervals in Linear Regression
More Powerful Selective Inference for the Graph Fused Lasso
Smoothing Splines Approximation Using Hilbert Curve Basis Selection
Implicit Copula Variational Inference
Least-Square Approximation for a Distributed System
Fast Computation of Latent Correlations
Practical Network Modeling via Tapered Exponential-Family Random Graph Models
Cross-Validated Loss-based Covariance Matrix Estimator Selection in High Dimensions
Degrees of Freedom: Search Cost and Self-Consistency
Conditional Particle Filters with Bridge Backward Sampling
Spectrally Sparse Nonparametric Regression via Elastic Net Regularized Smoothers
Scalable Model-Free Feature Screening via Sliced-Wasserstein Dependency
Interval Censored Recursive Forests
Shrinkage Bayesian Causal Forests for Heterogeneous Treatment Effects Estimation
An Approximated Collapsed Variational Bayes Approach to Variable Selection in Linear Regression
Silhouettes and Quasi Residual Plots for Neural Nets and Tree-based Classifiers
Stratified Stochastic Variational Inference for High-Dimensional Network Factor Model
MIP-BOOST: Efficient and Effective L 0 Feature Selection for Linear Regression
Fast Search and Estimation of Bayesian Nonparametric Mixture Models Using a Classification Annealing EM Algorithm
Boosting Random Forests to Reduce Bias; One-Step Boosted Forest and Its Variance Estimate