yusuke1997/dblp-id-title huggingface dataset:
An Interventional Perspective on Identifiability in Gaussian LTI Systems with Independent Component Analysis
Process Independence Testing in Proximal Graphical Event Models
The Probability of Tiered Benefit: Partial Identification with Robust and Stable Inference
Causal Learning and Reasoning, 1-3 April 2024, Los Angeles, California, USA
Causal discovery in a complex industrial system: A time series benchmark
Causal Discovery for Linear Mixed Data
AGM-TE: Approximate Generative Model Estimator of Transfer Entropy for Causal Discovery
Equality Constraints in Linear Hawkes Processes
Local Constraint-Based Causal Discovery under Selection Bias
1st Conference on Causal Learning and Reasoning, CLeaR 2022, Sequoia Conference Center, Eureka, CA, USA, 11-13 April, 2022
Relational Causal Models with Cycles: Representation and Reasoning
The CausalBench challenge: A machine learning contest for gene network inference from single-cell perturbation data
Constraint-based causal discovery with tiered background knowledge and latent variables in single or overlapping datasets
Unsupervised Object Learning via Common Fate
Local Interference: Removing Interference Bias in Semi-Parametric Causal Models
Transfer learning in latent contextual bandits with covariate shift through causal transportability
Evaluating and Correcting Performative Effects of Decision Support Systems via Causal Domain Shift
Disentangling Controlled Effects for Hierarchical Reinforcement Learning
Finding Alignments Between Interpretable Causal Variables and Distributed Neural Representations
Extending Structural Causal Models for Autonomous Vehicles to Simplify Temporal System Construction & Enable Dynamic Interactions Between Agents
Learning Invariant Representations with Missing Data
Causal Discovery with Score Matching on Additive Models with Arbitrary Noise
Lifted Causal Inference in Relational Domains
Expediting Reinforcement Learning by Incorporating Knowledge About Temporal Causality in the Environment
Causal Learning through Deliberate Undersampling
Efficient Reinforcement Learning with Prior Causal Knowledge
Temporal Inverse Probability Weighting for Causal Discovery in Controlled Before-After Studies: Discovering ADEs in Generics
Unitless Unrestricted Markov-Consistent SCM Generation: Better Benchmark Datasets for Causal Discovery
On the Equivalence of Causal Models: A Category-Theoretic Approach
Can Humans Be out of the Loop?
Fair Clustering: A Causal Perspective
extttcausalAssembly: Generating Realistic Production Data for Benchmarking Causal Discovery
Causal Discovery in Linear Structural Causal Models with Deterministic Relations
Local Causal Discovery for Estimating Causal Effects
Data-driven exclusion criteria for instrumental variable studies
Influence-Aware Attention for Multivariate Temporal Point Processes
Estimating long-term causal effects from short-term experiments and long-term observational data with unobserved confounding
Jointly Learning Consistent Causal Abstractions Over Multiple Interventional Distributions
Causal Structure Discovery between Clusters of Nodes Induced by Latent Factors
Causal Discovery for Non-stationary Non-linear Time Series Data Using Just-In-Time Modeling
The interventional Bayesian Gaussian equivalent score for Bayesian causal inference with unknown soft interventions
Simple data balancing achieves competitive worst-group-accuracy
Optimizing Multi-Scale Representations to Detect Effect Heterogeneity Using Earth Observation and Computer Vision: Applications to Two Anti-Poverty RCTs
Image-based Treatment Effect Heterogeneity
Causal Bandits without prior knowledge using separating sets
Identifying Coarse-grained Independent Causal Mechanisms with Self-supervision
Relational Object-Centric Actor-Critic
Causal Learning and Reasoning, Lausanne, Switzerland, 7-9 May 2025
Matchings, Predictions and Counterfactual Harm in Refugee Resettlement Processes
A causality-inspired plus-minus model for player evaluation in team sports
On the Impact of Neighbourhood Sampling to Satisfy Sufficiency and Necessity Criteria in Explainable AI
Conference on Causal Learning and Reasoning, CLeaR 2023, 11-14 April 2023, Amazon Development Center, Tübingen, Germany, April 11-14, 2023
Leveraging Causal Graphs for Blocking in Randomized Experiments
Semiparametric Efficient Inference in Adaptive Experiments
Same Cause; Different Effects in the Brain
Typing assumptions improve identification in causal discovery
Dual Likelihood for Causal Inference under Structure Uncertainty
Can Active Sampling Reduce Causal Confusion in Offline Reinforcement Learning?
Causal Layering via Conditional Entropy
A Meta-Reinforcement Learning Algorithm for Causal Discovery
Evaluating Temporal Observation-Based Causal Discovery Techniques Applied to Road Driver Behaviour
Stochastic Causal Programming for Bounding Treatment Effects
Omitted Labels Induce Nontransitive Paradoxes in Causality
A Distance Covariance-based Kernel for Nonlinear Causal Clustering in Heterogeneous Populations
Towards efficient representation identification in supervised learning
Beyond the Markov Equivalence Class: Extending Causal Discovery under Latent Confounding
Factual Observation Based Heterogeneity Learning for Counterfactual Prediction
Counterfactual Influence in Markov Decision Processes
DiConStruct: Causal Concept-based Explanations through Black-Box Distillation
Bivariate Causal Discovery via Conditional Divergence
Causal Discovery with Mixed Linear and Nonlinear Additive Noise Models: A Scalable Approach
Causal drivers of dynamic networks
Identifying Linearly-Mixed Causal Representations from Multi-Node Interventions
Generalizing Clinical Trials with Convex Hulls
On Measuring Intrinsic Causal Attributions in Deep Neural Networks
Instrumental Processes Using Integrated Covariances
Stabilized Inverse Probability Weighting via Isotonic Calibration
Cross-validating causal discovery via Leave-One-Variable-Out
Exact discovery is polynomial for certain sparse causal Bayesian networks
Robust Multi-view Co-expression Network Inference
Factorization of the Partial Covariance in Singly-Connected Path Diagrams
Estimating the Causal Effect of Early ArXiving on Paper Acceptance
Cautionary Tales on Synthetic Controls in Survival Analyses
MXMap: A Multivariate Cross Mapping Framework for Causal Discovery in Dynamical Systems
Causal Inference under Interference and Model Uncertainty
Causal Abstraction with Soft Interventions
A Uniformly Consistent Estimator of non-Gaussian Causal Effects Under the k-Triangle-Faithfulness Assumption
Causal Optimal Transport of Abstractions
Enhancing Causal Discovery from Robot Sensor Data in Dynamic Scenarios
Sample Complexity of Nonparametric Closeness Testing for Continuous Distributions and Its Application to Causal Discovery with Hidden Confounding
Inducing Causal Structure Applied to Glucose Prediction for T1DM Patients
Attainability and Optimality: The Equalized Odds Fairness Revisited
Toward the Identifiability of Comparative Deep Generative Models
Ensembled Prediction Intervals for Causal Outcomes Under Hidden Confounding
Selecting Accurate Subgraphical Models from Possibly Inaccurate Graphical Models
Weakly Supervised Discovery of Semantic Attributes
The Causal-Effect Score in Data Management
Confounded Budgeted Causal Bandits
Counterfactual explanability of black-box prediction models
Your Assumed DAG is Wrong And Here's How To Deal With It
Causal Inference Despite Limited Global Confounding via Mixture Models
Amortized Causal Discovery: Learning to Infer Causal Graphs from Time-Series Data
Low-Rank Approximation of Structural Redundancy for Self-Supervised Learning
Designing monitoring strategies for deployed machine learning algorithms: navigating performativity through a causal lens
Meaningful Causal Aggregation and Paradoxical Confounding
Practical Algorithms for Orientations of Partially Directed Graphical Models
Hyperparameter Tuning for Causal Inference with Double Machine Learning: A Simulation Study
Causal State Distillation for Explainable Reinforcement Learning
Bootstrap aggregation and confidence measures to improve time series causal discovery
Causal Imputation for Counterfactual SCMs: Bridging Graphs and Latent Factor Models
Scalable Causal Structure Learning via Amortized Conditional Independence Testing
Bounds and Sensitivity Analysis of the Causal Effect Under Outcome-Independent MNAR Confounding
Scalable Counterfactual Distribution Estimation in Multivariate Causal Models
CausalCity: Complex Simulations with Agency for Causal Discovery and Reasoning
Actual Causation and Nondeterministic Causal Models
Pragmatic Fairness: Developing Policies with Outcome Disparity Control
The Landscape of Causal Discovery Data: Grounding Causal Discovery in Real-World Applications
Local Dependence Graphs for Discrete Time Processes
Backtracking Counterfactuals
Probably approximately correct high-dimensional causal effect estimation given a valid adjustment set
Combining Causal Models for More Accurate Abstractions of Neural Networks
Network Causal Effect Estimation In Graphical Models Of Contagion And Latent Confounding
Causal Discovery Under Local Privacy
Directed Graphical Models and Causal Discovery for Zero-Inflated Data
Multi-Domain Causal Discovery in Bijective Causal Models
Predictive State Propensity Subclassification (PSPS): A causal inference algorithm for data-driven propensity score stratification
On the Interventional Kullback-Leibler Divergence
Integrative R-learner of heterogeneous treatment effects combining experimental and observational studies
Causal Triplet: An Open Challenge for Intervention-centric Causal Representation Learning
Selection, Ignorability and Challenges With Causal Fairness
Towards the Reusability and Compositionality of Causal Representations
Info Intervention and its Causal Calculus
Learning Causal Overhypotheses through Exploration in Children and Computational Models
An Algorithm and Complexity Results for Causal Unit Selection
Sequential Deconfounding for Causal Inference with Unobserved Confounders
Implicit and Explicit Policy Constraints for Offline Reinforcement Learning
Causal reasoning in difference graphs
The PetShop Dataset - Finding Causes of Performance Issues across Microservices
Disentanglement via Mechanism Sparsity Regularization: A New Principle for Nonlinear ICA
Estimating Social Influence from Observational Data
Optimal Training of Fair Predictive Models
Compositional Models for Estimating Causal Effects
Differentially Private Estimation of Heterogeneous Causal Effects
Counterfactual Token Generation in Large Language Models
Sample-Specific Root Causal Inference with Latent Variables
Robustness of Algorithms for Causal Structure Learning to Hyperparameter Choice
Score matching through the roof: linear, nonlinear, and latent variables causal discovery
Algorithmic syntactic causal identification
Distinguishing Cause from Effect on Categorical Data: The Uniform Channel Model
Automatic debiasing of neural networks via moment-constrained learning
Partial Identification with Noisy Covariates: A Robust Optimization Approach
Aligning Graphical and Functional Causal Abstractions
Fair Classification with Instance-dependent Label Noise
Bicycle: Intervention-Based Causal Discovery with Cycles
Shapley-PC: Constraint-based Causal Structure Learning with a Shapley Inspired Framework
Non-parametric Inference Adaptive to Intrinsic Dimension
Contagion Effect Estimation Using Proximal Embeddings
A Multivariate Causal Discovery based on Post-Nonlinear Model
Controlling for discrete unmeasured confounding in nonlinear causal models
Disparate Effect Of Missing Mediators On Transportability of Causal Effects
Encode-Decoder-based GAN for Estimating Counterfactual Outcomes under Sequential Selection Bias and Combinatorial Explosion
Beyond Flatland: A Geometric Take on Matching Methods for Treatment Effect Estimation
Structure Learning with Continuous Optimization: A Sober Look and Beyond
Non-parametric identifiability and sensitivity analysis of synthetic control models
Learning Conditional Granger Causal Temporal Networks
Fundamental Properties of Causal Entropy and Information Gain
Learning Causal Representations of Single Cells via Sparse Mechanism Shift Modeling
Identifying Principal Stratum Causal Effects Conditional on a Post-treatment Intermediate Response
Some Reflections on Drawing Causal Inference using Textual Data: Parallels Between Human Subjects and Organized Texts
On Discovery of Local Independence over Continuous Variables via Neural Contextual Decomposition
Causal Matching using Random Hyperplane Tessellations
Interpretable Neural Causal Models with TRAM-DAGs
Cause-effect inference through spectral independence in linear dynamical systems: theoretical foundations
Differentiable Causal Discovery Under Latent Interventions
Algorithmic causal structure emerging through compression
Causal Imputation via Synthetic Interventions
An Asymmetric Independence Model for Causal Discovery on Path Spaces
Extracting the Multiscale Causal Backbone of Brain Dynamics
Causal Bandits without Graph Learning
Nondeterministic Causal Models
VIM: Variational Independent Modules for Video Prediction
Interactive rank testing by betting
TURAMBAR: An Approach to Deal with Uncertainty in Semantic Environments
A Novel Visualizer of Medical Images by Integrating an Extensible Plugin Framework
Could Virtual Reality Be an Effective Tool to Combat Obesity and Sedentariness in Children? Results from Two Research Studies
A Multiple Kernel Learning Based Fusion Framework for Real-Time Multi-View Action Recognition
An Study on Re-identification in RGB-D Imagery
Usability Evaluation Method for Mobile Applications for the Elderly: A Methodological Proposal
High-Level Context Inference for Human Behavior Identification
Affectively Aligned Cognitive Assistance Using Bayesian Affect Control Theory
Stay in Touch: An in Context Evaluation of a Smartphone Interface Designed for People with Dementia
Method, Design and Implementation of a Self-checking Indoor Localization System
Detecting Changes in Elderly's Mobility Using Inactivity Profiles
A Framework for Situation Awareness Based upon Dynamic Situation Modeling
Pilot Evaluation of a Collaborative Game for Motor Tele-Rehabilitation and Cognitive Stimulation of the Elderly
An Integral Medicine Taking Solution for Mild and Moderate Alzheimer Patients
Human Facial Expression Recognition Using Wavelet Transform and Hidden Markov Model
LED Strips for Color- and Illumination-Based Emotion Regulation at Home
emHEALTH: Online-Platform with Telecare Services to Promote Healthy Lifestyle for People with Multiple Sclerosis
Combining Technical and User Requirement Analysis to Support Wellbeing at the Workplace
E-Smart Real-Time Blood Sugar Administration
Application of a Cluster-Based Classifier Ensemble to Activity Recognition in Smart Homes
Context-Aware and User-Centered Evaluation of Assistive Systems. Methodology and Web Analysis Tool
Lessons Learned from a Long-Running Assistive System for Geriatric Care
Mobile Monitoring Review: Comparative with MoMo Framework Solution
Improvement of the Elderly Quality of Life and Care through Smart Emotion Regulation
Energy Expenditure Analysis: A Comparative Research of Based on Mobile Accelerometers
Troyoculus: An Augmented Reality System to Improve Reading Capabilities of Night-Blind People
Communication of Health Related Vital Sign- and Activity Data in the A 2 LICE Research Project
Technological Solution for Improving Time Management Skills Using an Android Application for Children with ADD
Adapting Social and Intelligent Environments to Support People with Special Needs
The Caregiver Perspective: An Assistive AAL Platform
GeoFencing on a Mobile Platform with Alert Escalation
Designing ICT for Health and Wellbeing - An Allostatic, Behavioral-Change Approach to a Monitoring and Coaching App
Development and Evaluation of an Augmented Object for Notifications of Particular Emails
Fall Risk Assessment and Prevention Using Wearables
Return to Activities of Daily Life: Physiotherapy Rehabilitation with Serious Game
Towards Ubiquitous User Modeling Interoperability for Dealing with Overweight and Obesity
Linguistic Description of Human Activity Based on Mobile Phone's Accelerometers
Offline and Online Activity Recognition on Mobile Devices Using Accelerometer Data
A Wearable Electrocardiogram Recorder (ECG) Using ISO / IEEE 11073 Interoperability Standard
Personalization of Serious Videogames for Occupational Engagement for Elderly
Mobile Based Prompted Labeling of Large Scale Activity Data
An Ubiquitous Game for Providing Emotional Support to Hospitalized Children
A Preliminary Model to Choose the Most Appropriate Target Population for Home Monitoring Telemedicine Interventions Basing on the Best Available Evidence
Ambient Sensor System for Freezing of Gait Detection by Spatial Context Analysis
Mobile and Context-Aware Grocery Shopping to Promote Active Aging
Modeling a Risk Detection System for Elderly's Home-Care with a Network of Timed Automata
Ambient Assisted Living and Active Aging - 5th International Work-Conference, IWAAL 2013, Carrillo, Costa Rica, December 2-6, 2013, Proceedings
Decision Modeling in Smart Home Design - The Importance of Lifestyle in an Individual's Design Decision
EmotionContext: User Emotion Dataset Using Smartphones
Garment Design for an Ambulatory Pregnancy Monitoring System
Ergonomic-Monitoring of Office Workplaces Using Kinect
Encouraging Behavioral Change via Everyday Technologies to Reduce Risk of Developing Alzheimer's Disease
Semantic Based Self-configuration Approach for Social Robots in Health Care Environments
A New Approach to Prevent Cardiovascular Diseases Based on SCORE Charts through Reasoning Methods and Mobile Monitoring
A Method to Develop Interactive Environments to Support Occupational Therapies
A Vision System for Intelligent Monitoring of Activities of Daily Living at Home
Ubiquitous Tele-monitoring Kit (UTK): Measuring Physiological Signals Anywhere at Anytime
KNX-Based Sensor Monitoring for User Activity Detection in AAL-environments
Monitoring Moods in Elderly People through Voice Processing
Applying the Gerontechnology Matrix for Research Involving Ageing Adults
Landmark-Based Histograms of Oriented Gradients for Facial Emotion Recognition
Influence of Seasons on Human Behavior in Smart Environments
Identification of Sounds and Sensing Technology for Home-Care Applications
A Framework to Design Parameterized and Personalized m-health Applications according to the Patient's Diseases
Supporting the Design of an Ambient Assisted Living System Using Virtual Reality Prototypes
An Ontology Based Approach to the Provision of Personalized Patient Education
Implementing Shared Displays: A Tool for Smooth Integration of Large-Screen TVs and Mobile Devices
Modular Hardware Design and Realization for Vital Signs Monitoring
A Thermal Data Simulation Tool for the Testing of Novel Approaches to Activity Recognition
First Contribution to Complex Emotion Recognition in Patients with Alzheimer's Disease
Doorstep Security; Using a Technology Based Solution for the Prevention of Doorstep Crime
Consolidation of Results amongst Undergraduate Occupational Therapist Students in Scoring of the Barthel ADL
A Novel Software Development Kit (SDK) to Foster Adoption of Health Informatics Standards in Personal Health Device (PHD) Communications
Context-Aware Generation and Adaptive Execution of Daily Living Care Pathways
Multiple Structured Light-Based Depth Sensors for Human Motion Analysis: A Review
Informal Carer Role in the Personalisation of Assistive Solutions Connected to Aspirations of People with Dementia
Adaptive Collaborative Environment for Vascular Problems Telediagnosis
3D Object Reconstruction Using Convex Hull Improved by a Peeling Process
Multiprotocol Android Application for Smart Control and Monitoring in Buildings
Mobile NFC vs Touchscreen Based Interaction: Architecture Proposal and Evaluation
Towards Holistic Support of Active Aging through Cognitive Stimulation, Exercise and Assisted Nutrition
Predictability of Some Pregnancy Outcomes Based on SVM and Dichotomous Regression Techniques
On the Development of a Real-Time Multi-sensor Activity Recognition System
PAM-Based Behavior Modelling
PChCT: A Tool to Monitor Child Whereabouts
A Case Study on the Analysis of Behavior Patterns and Pattern Changes in Smart Environments
Pathological Vocal Folds Quantitative Parameters Exchange Using HL7 Standard
Quality of Life Tools to Inform Co-design in the Development of Assistive Technologies for People with Dementia and Their Carers
Comparative Analysis between ANP and ANP- DEMATEL for Six Sigma Project Selection Process in a Healthcare Provider
Adaptive Training for Older Adults Based on Dynamic Diagnosis of Mild Cognitive Impairments and Dementia
Towards Secure e-Health Interoperable Personal Networks
Predicting Technology Adoption in People with Dementia; Initial Results from the TAUT Project
Towards Resilient Services in the Home - A Home Service Platform with Support for Conflict Resolution
Moving Brain Computer Interfaces towards Home Based Systems for People with Acquired Brain Injury
A Virtual Coach for Active Ageing Based on Sentient Computing and m-health
Mobile System for Medical Control of Chronic Diseases through Intelligent Devices
Validation Tool for Smart Screening of Language Disorders in Pediatrics Care
Technical Validation of COPD Activity Support Monitor- Towards COPD Self-management
Ambient Assisted Living and Daily Activities - 6th International Work-Conference, IWAAL 2014, Belfast, UK, December 2-5, 2014. Proceedings
mHealthDroid: A Novel Framework for Agile Development of Mobile Health Applications
User Experience of Elders and Relatives in a Collaborative Cognitive Stimulation Tool
Big Data Processing Using Wearable Devices for Wellbeing and Healthy Activities Promotion
A Knowledge Based Framework to Support Active Aging at Home Based Environments
Critical Success Factors for e-Healthcare: Integrated Set of Performance Indicators System (ISPIS)
A Model to Develop Frailty Diagnosis Tools through Mobile Devices and a Service-Oriented Approach
Authentication and Authorization in Ambient Assisting Living Applications: An Approach for UniversAAL
Contextualizing Tasks in Tele-Rehabilitation Systems for Older People
Exergames as Tools Used on Interventions to Cope with the Effects of Ageing: A Systematic Review
Detection of Motion Disorders of Patients with Autism Spectrum Disorders
A Mechanism for Nominating Video Clips to Provide Assistance for Instrumental Activities of Daily Living
Metaphorical Design of Feedback Interfaces in Activity-Aware Ambient Assisted-Living Applications
MonAMI: Mainstream on Ambient Intelligence. Scaled Field Trial Experience in a Spanish Geriatric Residence
I Feel You: Towards Affect-Sensitive Domotic Spoken Conversational Agents
Improving the Portability of Ambient Intelligence Systems
Wearable Computing to Support Activities of Daily Living
Facial Expression Recognition from Webcam Based on Active Shape Models and Support Vector Machines
Experimentation on Emotion Regulation with Single-Colored Images
JeWheels: Kinect Based Serious Game Aimed at Wheelchair Users
Intervention Tailoring in AAL Systems for Elders with Dementia Using Ontologies
PeerAssist: A P2P Platform Supporting Virtual Communities to Assist Independent Living of Senior Citizens
Detecting Disruptive Vocalizations for Ambient Assisted Interventions for Dementia
Discovering the Social Interaction Patterns of Younger and Older Facebook Users
Automatic Summarization of Activities Depicted in Instructional Videos by Use of Speech Analysis
Characterizing Ubiquitous Systems Privacy Issues by Gender and Age
An Augmented Object Prototype for Helping to Prevent the Sudden Infant Death Syndrome
A Gesture-Based Interaction Approach for Manipulating Augmented Objects Using Leap Motion
Analytic Hierarchy Process for Determining the Most Important Factors to Empower Elderly People in Taking an Active Role in Their Health: Study Design
A Framework for Recognizing and Regulating Emotions in the Elderly
A Clinically Assisted Collaborative System Architecture for Preventing Falls in Elderly People
A New Feature Extraction Technique for Human Facial Expression Recognition Systems Using Depth Camera