yusuke1997/dblp-id-title huggingface dataset:
Principled analytic classifier for positive-unlabeled learning via weighted integral probability metric
Meta-QSAR: a large-scale application of meta-learning to drug design and discovery
REFUEL: rule extraction for imbalanced neural node classification
PAMR: Passive aggressive mean reversion strategy for portfolio selection
On the Dual Formulation of Regularized Linear Systems with Convex Risks
Improved Rooftop Detection in Aerial Images with Machine Learning
Incremental permutation feature importance (iPFI): towards online explanations on data streams
Dynamic attention-integrated neural network for session-based news recommendation
Book Review: C4.5: Programs for Machine Learning by J. Ross Quinlan. Morgan Kaufmann Publishers, Inc., 1993
Word embeddings for retrieving tabular data from research publications
Ada-boundary: accelerating DNN training via adaptive boundary batch selection
Learning to compete, coordinate, and cooperate in repeated games using reinforcement learning
Gleaner: Creating ensembles of first-order clauses to improve recall-precision curves
Kernel Matching Pursuit
Guest editors' introduction: Special Issue from ECML PKDD 2009
Millionaire: a hint-guided approach for crowdsourcing
Interpretable optimisation-based approach for hyper-box classification
Change detection and adaptation in multi-target regression on data streams
Kernels as features: On kernels, margins, and low-dimensional mappings
DatRel: a noise-tolerant data relocation approach for effective synthetic data generation in imbalanced classifiers
Causal CSSE: integrating counterfactuals and causality in the explanation of machine learning models
On the usefulness of the fit-on-test view on evaluating calibration of classifiers
Guest editor's introduction: special issue on inductive transfer learning
Importance sampling in reinforcement learning with an estimated behavior policy
Efficient generator of mathematical expressions for symbolic regression
ALM-PU: positive and unlabeled learning with constrained optimization
Tensor completion with noisy side information
Correction to: Learning to bid and rank together in recommendation systems
TCR: topologically consistent reweighting for XGBoost in regression tasks
Pruning convolutional neural networks via filter similarity analysis
Collaborative information acquisition for data-driven decisions
Learning to Match the Schemas of Data Sources: A Multistrategy Approach
Learning to detect incidents from noisily labeled data
Learning with rationales for document classification
BEXA: A Covering Algorithm for Learning Propositional Concept Descriptions
Communication-efficient distributed multi-task learning with matrix sparsity regularization
Efficient learning of power grid voltage control strategies via model-based deep reinforcement learning
A Bias-Variance Analysis of a Real World Learning Problem: The CoIL Challenge 2000
Guest editorial to the special issue on inductive logic programming, mining and learning in graphs and statistical relational learning
Editorial: Preference learning and ranking
Fast relational learning using bottom clause propositionalization with artificial neural networks
Learning to Parse Natural Language with Maximum Entropy Models
A user-guided Bayesian framework for ensemble feature selection in life science applications (UBayFS)
Kernel density estimation for multiclass quantification
Jensen-Tsallis divergence for supervised classification under data imbalance
Online Bayesian inference for the parameters of PRISM programs
Finite-time error bounds for Greedy-GQ
iSOUP-SymRF: Symbolic feature ranking with random forests in online multi-target regression and multi-label classification
Generalization bounds for learning under graph-dependence: a survey
An improved evolutionary wrapper-filter feature selection approach with a new initialisation scheme
Declarative Bias for Specific-to-General ILP Systems
A dynamic ensemble approach to robust classification in the presence of missing data
Cutting-plane training of structural SVMs
Applying the information bottleneck to statistical relational learning
A3T: accuracy aware adversarial training
Biquality learning: a framework to design algorithms dealing with closed-set distribution shifts
Learning multi-agent coordination through connectivity-driven communication
Higher-Order Neural Networks Applied to 2D and 3D Object Recognition
Forgetting Exceptions is Harmful in Language Learning
Naive automated machine learning
Guest editorial: special issue on Inductive Logic Programming (ILP 2011)
Pruning of Error Correcting Output Codes by optimization of accuracy-diversity trade off
Interpretable Deep Reinforcement Learning Via Concept-Based Policy Distillation
Learning a factor model via regularized PCA
Generalizing universal adversarial perturbations for deep neural networks
Large scale image annotation: learning to rank with joint word-image embeddings
A data- and knowledge-driven framework for developing machine learning models to predict soccer match outcomes
Explanatory machine learning for sequential human teaching
Loss aware post-training quantization
Exemplar-Based Knowledge Acquisition
WEASEL 2.0: a random dilated dictionary transform for fast, accurate and memory constrained time series classification
Graph-based predictable feature analysis
Cluster-grouping: from subgroup discovery to clustering
A Framework for Average Case Analysis of Conjunctive Learning Algorithms
In memory of Tom Fawcett
Learning to bid and rank together in recommendation systems
Inverse reinforcement learning through logic constraint inference
Hierarchical U-net with re-parameterization technique for spatio-temporal weather forecasting
A k -Median Algorithm with Running Time Independent of Data Size
Scalable and efficient multi-label classification for evolving data streams
Polynomial regression under arbitrary product distributions
Topic extraction from extremely short texts with variational manifold regularization
CPAS: the UK's national machine learning-based hospital capacity planning system for COVID-19
RE-EM trees: a data mining approach for longitudinal and clustered data
A utility-driven approach to instance-based transfer learning for relational domains
Discovery of Time-Series Motif from Multi-Dimensional Data Based on MDL Principle
Extrapolation is not the same as interpolation
LADDER: Latent boundary-guided adversarial training
Temporal Graph Network Framework for Quantifying Pass Reception Probabilities Against Defensive Structures
Adaptive-resolution reinforcement learning with polynomial exploration in deterministic domains
Exploration and exploitation of scratch games
Anticipating to Change: A Proactive Approach for Concept Drift Adaptation in Data Streams
RCC-MAS: a new algorithm for computing all rough-set-constructs
The Variational Garrote
MultiBoosting: A Technique for Combining Boosting and Wagging
Engineering fast multilevel support vector machines
Forecast aggregation via recalibration
Learning Function-Free Horn Expressions
High-dimensional penalty selection via minimum description length principle
Detecting inappropriate access to electronic health records using collaborative filtering
Learning rates for kernel-based expectile regression
Imputation of clinical covariates in time series
Boosting and Microarray Data
Information Filtering: Selection Mechanisms in Learning Systems
Incorporating domain knowledge in machine learning for soccer outcome prediction
Learning to predict soccer results from relational data with gradient boosted trees
Structure discovery in PAC-learning by random projections
Multi-armed bandits with dependent arms
Trading Accuracy for Simplicity in Decision Trees
DNF are teachable in the average case
αILP: thinking visual scenes as differentiable logic programs
Efficient learning of large sets of locally optimal classification rules
Community detection via structured adaptive block-diagonal learning with topology-subspace fusion
SA-LfV: self-annotated labeling from videos for object detection
An adaptive polyak heavy-ball method
Risk-Sensitive Reinforcement Learning
RIADNet: single image deraining network for raindrops and rain streaks removal
Incorporating symbolic domain knowledge into graph neural networks
Global optimization based on active preference learning with radial basis functions
Efficient F measure maximization via weighted maximum likelihood
PT4Rec: a universal prompt-tuning framework for graph contrastive learning-based recommendations
Distributed multi-task classification: a decentralized online learning approach
A new PAC bound for intersection-closed concept classes
Statistical relational learning of trust
Variance and Bias for General Loss Functions
Soft Margins for AdaBoost
Learning policies for battery usage optimization in electric vehicles
Instance-Based Learning Algorithms
Classification with Bayesian MARS
Guest editors introduction to the special issue for the ECML PKDD 2018 journal track
Density-based weighting for imbalanced regression
Better schedules for low precision training of deep neural networks
Learning decomposable markov networks in pseudo-independent domains with local evaluation
Forecasting upper atmospheric scalars advection using deep learning: an O 3 experiment
HIVE-COTE 2.0: a new meta ensemble for time series classification
A theoretical distribution analysis of synthetic minority oversampling technique (SMOTE) for imbalanced learning
On evaluating stream learning algorithms
Iterated Phantom Induction: A Knowledge-Based Approach to Learning Control
Polynomial-based graph convolutional neural networks for graph classification
Learning Complementary Knowledge via Trusted Multi-view Space Decomposition for Self-Supervised Contrastive Learning
Machine learning algorithms for event detection
Bimodal variational autoencoder for audiovisual speech recognition
Swamping and masking in Markov boundary discovery
Using the bottom clause and mode declarations in FOL theory revision from examples
Hybrid least-squares algorithms for approximate policy evaluation
Evaluating the robustness of explainable AI in medical image recognition under natural and adversarial data corruption
Grouped Gaussian processes for solar power prediction
Theoretical and Empirical Analysis of ReliefF and RReliefF
Improved linear embeddings via Lagrange duality
Compact Representation of Knowledge Bases in Inductive Logic Programming
The Open International Soccer Database for machine learning
The kernel Kalman rule - Efficient nonparametric inference by recursive least-squares and subspace projections
Bayesian Treed Models
Learning using statistical invariants: when they work and when they don't
Learning any memory-less discrete semantics for dynamical systems represented by logic programs
A framework for the fine-grained evaluation of the instantaneous expected value of soccer possessions
Representation of Finite State Automata in Recurrent Radial Basis Function Networks
Relational IBL in classical music
A greedy feature selection algorithm for Big Data of high dimensionality
Aliasing and adversarial robust generalization of CNNs
Adjusting regression models for conditional uncertainty calibration
Case-Based Learning: Predictive Features in Indexing
Measuring classifier performance: a coherent alternative to the area under the ROC curve
Sparse conjugate directions pursuit with application to fixed-size kernel models
Generalization bounds for learning with linear, polygonal, quadratic and conic side knowledge
Simultaneous outlier detection and elimination in hyperspectral unmixing via weighted non-negative matrix tri-factorization
Multiple partitions alignment via spectral rotation
Stability and model selection in k -means clustering
Introduction: Cognitive Autonomy in Machine Discovery
Distillation of weighted automata from recurrent neural networks using a spectral approach
CHILD: A First Step Towards Continual Learning
Cost-sensitive sparse group online learning for imbalanced data streams
Regret bounds for sleeping experts and bandits
Explaining neural networks without access to training data
The flip-the-state transition operator for restricted Boltzmann machines
Deep learning of PDE correction and mesh adaption without automatic differentiation
On the connection between the phase transition of the covering test and the learning success rate in ILP
Variance reduction on general adaptive stochastic mirror descent
Spectral learning of weighted automata - A forward-backward perspective
Error Reduction through Learning Multiple Descriptions
Neural calibration of hidden inhomogeneous Markov chains: information decompression in life insurance
Context-aware spatio-temporal event prediction via convolutional Hawkes processes
Correction to: Modeling outcomes of soccer matches
${{\mathrm {Latent}}Out}$: an unsupervised deep anomaly detection approach exploiting latent space distribution
Guest Editors' Introduction: Machine Learning and Natural Language
Generalized isotonic conditional random fields
The matrix ridge approximation: algorithms and applications
Invariant representation learning via decoupling style and spurious features
Regression conformal prediction with random forests
Machine learning for targeted display advertising: transfer learning in action
Fedpower: privacy-preserving distributed eigenspace estimation
Machine learning with a reject option: a survey
Empirical evaluation of normalizing flows in Markov chain Monte Carlo
Boosted multivariate trees for longitudinal data
Relational networks of conditional preferences
Editorial: Methods in Functional Genomics
Smoclust: synthetic minority oversampling based on stream clustering for evolving data streams
Responsible model deployment via model-agnostic uncertainty learning
Vine copulas for mixed data : multi-view clustering for mixed data beyond meta-Gaussian dependencies
Conformalised data synthesis
Optimal clustering from noisy binary feedback
Integrating Multiple Learning Strategies in First Order Logics
Refining neural network predictions using background knowledge
An algorithmic theory of learning: Robust concepts and random projection
Informing sequential clinical decision-making through reinforcement learning: an empirical study
Embedding and extraction of knowledge in tree ensemble classifiers
Learning Two-Tiered Descriptions of Flexible Concepts: The POSEIDON System
Robust classification via MOM minimization
Imbalanced gradients: a subtle cause of overestimated adversarial robustness
Guest editors' introduction to the special issue on Discovery Science
Probabilistic archetypal analysis
Plausible Justification Trees: A Framework for Deep and Dynamic Integration of Learning Strategies
Learning sparse gradients for variable selection and dimension reduction
Generating contrastive explanations for inductive logic programming based on a near miss approach
The Learnability of Description Logics with Equality Constraints
Inverse reinforcement learning in contextual MDPs
Linearly-interpretable concept embedding models for text analysis
Learning what is where from unlabeled images: joint localization and clustering of foreground objects
Distribution estimation for time series via DNN-based GANs with an application to change-point estimation
Simple strategies for semi-supervised feature selection
Progressive random k-labelsets for cost-sensitive multi-label classification
Differentiable learning of matricized DNFs and its application to Boolean networks
Information culture as a valuable element of strategic information management
Application of virtual reality to assess thermal, visual perception, and users' adaptive behaviors for sedentary activities
Editorial: virtual reality technology in architecture and construction
A conceptual framework for multi-modal interactive virtual workspace
WMV video attachment (2) to the paper "A study of user perceptions of the relationship between bump-mapped and non-bump-mapped materials, and lighting intensity in a real-time virtual environment"
Editorial: eWork and eBusiness
Detecting air pockets for architectural concrete quality assessment using visual sensing
An architecture for decision support in ad hoc sensor networks
Using Building Topological Information to Check for Means of Egress Building Code Compilance
Open access to Construction IT research articles - developments over the past 25 years
Blockchain and City Information Modeling (CIM): A New Approach of Transparency and Efficiency
User evaluation of a software interface for geovisualization and communication of uncertain urban ontologies
Evaluating a data clustering approach for life-cycle facility control
Tracking Decision-Making During Architectural Design
Challenges and enablers of augmented reality technology for in situ walkthrough applications
Risk-based completion cost prediction approach in construction projects utilizing machine learning
The impact of social networks on design education
The current state of information and communication technology usage by small and medium Taiwanese construction companies
Evaluation of sensing technology for the prevention of backover accidents in construction work zones
The pace of technological innovation in architecture, engineering, and construction education: integrating recent trends into the curricula
Knowledge transfer from blockchain engineers to construction: exploring the technical concerns of using blockchain for payments in the construction industry
Process modelling, process management and collaboration - editorial
The role of machine learning in automated code checking - a systematic literature review
Instructor-practitioner collaborations via a web platform - design and practitioners' intention-to-use
Artificial intelligence in construction asset management: a review of present status, challenges and future opportunities
A tool for developing knowledge management strategies
Exploring the Enterprise BIM concept in practice: The case of Asset Management in a Norwegian hospital
Analysis of the Use of e-procurement in the Public and Private Sectors of the UK Construction Industry
Assessment of a passive wearable robot for reducing low back disorders during rebar work
Reviewing the evidence: use of digital collaboration technologies in major building and infrastructure projects
A review of cloud-based BIM technology in the construction sector
A tool-based system architecture for a digital twin: a case study in a healthcare facility
EDITORIAL: CIB W78 Special track on Compliance Checking
Status quo and challenges and future development of fire emergency evacuation research and application in built environment
Resistance to IT change in the AEC industry: an individual assessment tool
Evolutionary Optimization of Resource Allocation in Repetitive Construction Schedules
3D and 4D modeling for design and construction coordination: issues and lessons learned
The organization of information standards in the Chinese construction industry
Voice and multimodal technology for the mobile worker
Generating fire dynamics simulator geometrical input using an IFC-based building information model
Culture change in construction industry: from 2D toward BIM based construction
Implementation of a distributed, model-based integrated asset management system
Editorial - Advanced digital technologies for built environment education and learning
A service-based innovation process for improving cooperative practices in AEC
An earned-value-analysis (EVA)-based project control framework in large-scale scaffolding projects using linear regression modeling
A 6-step systematic process for model-based facility data delivery
Blockchain-based approach to improve environmental, social, and governance (ESG) reporting in construction organizations
Machine learning approaches to determining truck type from bridge loading response
Semi-automatic generation of as-built BIM façade geometry from laser and image data
Exploring the approaches in the implementation of BIM-based MEP coordination in the USA
Management of building supported on virtual interactive models: construction planning and preventive maintenance
Automated route planning for construction site utilizing Building Information Modeling
A study of computer usage by Nigerian quantity surveyors
Editorial - Sensors in Construction and Infrastructure Management
Virtual reality for the built environment: a critical review of recent advances
A bibliometric and scientometric mapping of Industry 4.0 in construction
An exploratory study of awareness and perceived relevance of GIS among general contractors in the USA
Scanning and data capturing for BIM-supported resources assessment: a case study
Crew optimization in planning and control of earthmoving operations using spatial technologies
Constructors of geometric primitives in domain ontologies for urban environments
Factors Enabling Information and Communication Technology Diffusion and Actual Implementation in Construction Organisations
Awareness and workflow based coordination of networked co-operations in structural design
Swarm modelling framework to improve design support systems capabilities
Evaluating the use of virtual reality for maintainability-focused design reviews
Ontology-based approach to data exchanges for robot navigation on construction sites
Support of collaborative business process networks in AEC
Collaboration and coordination learning modules for BIM education
Editorial - Building Information Modeling Applications, Challenges and Future Directions
Coupling human activity recognition and wearable sensors for data-driven construction simulation
Application of IFC in design and production of precast concrete constructions
Long-distance wireless networking for site - office data communications
From BIM to VR: defining a level of detail to guide virtual reality narratives
Development of a Maturity Model for the Digital transformation of companies in the context of Construction Industry 4.0
From BIM to digital twin. IOT data integration in asset management platform
Technological assessment and process implications of field data capture technologies for construction and facility/infrastructure management
Sustainable building related new demands for product information and product model based design
Relevance of deep sequence models for recognising automated construction activities: a case study on a low-rise construction system
Improving Learners' Self-Efficacy in Performing Design Reviews with Virtual Reality
Collaborative intelligence cyber-physical system for the valorization and re-use of cultural heritage
Holistically assessing collaborative culture in the AEC industry
Review of digital technologies to improve productivity of New Zealand construction industry
A case study towards transferring relevant safety information for facilities maintenance using BIM
Definition of a domain-specific language for Korean building act sentences as an explicit computable form
Investigating the barriers to laser scanning implementation in building refurbishment
Building Information Modelling in quantity surveying practices: current state and future challenges in Hong Kong
The IT-barometer - a decade's development of IT use in the Swedish construction sector
Intranets in large construction organisations: exploring advancements, capabilities and barriers
A Low-Cost Internet Connection for Intelligent Appliances of Buildings
Virtual worlds as a constructivist learning platform: evaluations of 3D virtual worlds on design teaching and learning
Effective Applications of E-Commerce Technologies in Construction Supply Chain: Current Practices and Future Improvement
Enhancing the non-technological skills required for effective building information modeling through problem-based learning
Editorial - Bringing Urban Ontologies into Practice
Cloud-based deep immersive game for human egress data collection: a framework
Case study on application of wireless ultra-wideband technology for tracking equipment on a congested site
Communication in design, results of a field research
Industry Foundation Classes for Project Management - A Trial Implementation
Implementation of virtual reality in construction education: a content-analysis based literature review
The Bimbot: mediating technology for enacting coordination in teamwork collaboration
Beyond the clash: investigating BIM-based building design coordination issue representation and resolution