yusuke1997/dblp-id-title huggingface dataset:
Belief Inference with Timed Evidence - Methodology and Application Using Sensors in a Smart Home
A Study on Generalising Bayesian Inference to Evidential Reasoning
Quantifying Confidence of Safety Cases with Belief Functions
Ensemble Learning Based on Evidential Reasoning Rule with a New Weight Calculation Method
Econometric Forecasting Using Linear Regression and Belief Functions
An Evidential Fusion Rule for Ambient Intelligence for Activity Recognition
Addressing Ambiguity in Randomized Reinsurance Contracts Using Belief Functions
The Belief Functions Theory for Sensors Localization in Indoor Wireless Networks
Conjunctive Rules in the Theory of Belief Functions and Their Justification Through Decisions Models
Designing an Evidential Assertion Language for Multiple Analysts
Evidential Clustering by Competitive Agglomeration
Partially-Hidden Markov Models
The Internal Conflict of a Belief Function
Prejudiced Information Fusion Using Belief Functions
An Evidential Neural Network Model for Regression Based on Random Fuzzy Numbers
Contrasting Two Laws of Large Numbers from Possibility Theory and Imprecise Probability
Evidential Regression by Synthesizing Feature Selection and Parameters Learning
Belief Functions: Theory and Applications - 8th International Conference, BELIEF 2024, Belfast, UK, September 2-4, 2024, Proceedings
Consonant Approximations in the Belief Space
Evidential Fusion for Sentiment Polarity Classification
Belief Functions: Theory and Applications - 7th International Conference, BELIEF 2022, Paris, France, October 26-28, 2022, Proceedings
An Evidence-Based Framework For Heterogeneous Electronic Health Records: A Case Study In Mortality Prediction
Belief Functions: Theory and Applications - 6th International Conference, BELIEF 2021, Shanghai, China, October 15-19, 2021, Proceedings
Distributed Data Fusion for Detecting Sybil Attacks in VANETs
Integrity Preserving Belief Update for Recursive Bayesian Tracking with Non-ideal Sensors
Deep Evidential Clustering of Images
Truthfulness in Contextual Information Correction
The Evidence-Theoretic k-NN Rule for Rank-Ordered Data: Application to Predict an Individual's Source of Loan
Consensus-Based Credibility Estimation of Soft Evidence for Robust Data Fusion
Exploiting Domain-Experts Knowledge Within an Evidential Process for Case Base Maintenance
Evidential Filtering and Spatio-Temporal Gradient for Micro-movements Analysis in the Context of Bedsores Prevention
An Evidential Improvement for Gender Profiling
Applying ER-MCDA and BF-TOPSIS to Decide on Effectiveness of Torrent Protection
Adaptive Initialization of a EvKNN Classification Algorithm
Evidential Multi-label Classification Using the Random k-Label Sets Approach
Optimization Under Severe Uncertainty: a Generalized Minimax Regret Approach for Problems with Linear Objectives
Credal Clustering for Imbalanced Data
Fusion of Evidential CNN Classifiers for Image Classification
Imprecise Deep Networks for Uncertain Image Classification
Conflict between Belief Functions: A New Measure Based on Their Non-conflicting Parts
SHADED: Shapley Value-Based Deceptive Evidence Detection in Belief Functions
Discussions on the Connectedness of a Random Closed Set
Logistic Regression Revisited: Belief Function Analysis
Belief Approach for Social Networks
Using the Belief Functions Theory to Deploy Static Wireless Sensor Networks
Transfer Evidential C-Means Clustering
Belief Hierarchical Clustering
Classification Trees Based on Belief Functions
Belief Functions on Ordered Frames of Discernment
From Relations Between Sets to Relations Between Belief Functions
On Improving a Group of Evidential Sources with Different Contextual Corrections
Conflict Measure of Belief Functions with Blurred Focal Elements on the Real Line
Methods Handling Accident and Traffic Jam Information with Belief Functions in VANETs
A Novel Optimization-Based Combination Rule for Dempster-Shafer Theory
Hybrid Artificial Immune Recognition System with Improved Belief Classification Process
Learning Parameters in Directed Evidential Networks with Conditional Belief Functions
Dempster-Shafer Fusion of Context Sources for Pedestrian Recognition
Combination of Dependent Gaussian Random Fuzzy Numbers
Characterization of Experts in Crowdsourcing Platforms
Fusing Independent Inferential Models in a Black-Box Manner
Compositional Models in Valuation-Based Systems
Conflict Management in a Distance to Prototype-Based Evidential Deep Learning
Geometric Interpretations of Conflict: A Viewpoint
Threshold Functions and Operations in the Theory of Evidence
General Schemes of Combining Rules and the Quality Characteristics of Combining
Ranking from Pairwise Comparisons in the Belief Functions Framework
Application of Belief Functions Theory to Non Destructive Testing of Industrial Pieces
Measure of Information Content of Basic Belief Assignments
A Compact Belief Rule-Based Classification System with Evidential Clustering
Use of Evidence Theory in Fault Tree Analysis for Road Safety Inspection
Facial Expression Classification Based on Dempster-Shafer Theory of Evidence
Multi-oversampling with Evidence Fusion for Imbalanced Data Classification
A Novel Methodology for Target Classification Based on Dempster-Shafer Theory
Imperfect Labels with Belief Functions for Active Learning
Improved Performance of EK-NNClus by Selecting Appropriate Parameter
Outliers in Evidential C-Means: An Empirical Exploration Using Survey Data on Organizational Social Capital
On Conditional Belief Functions in the Dempster-Shafer Theory
Semi-supervised Evidential Label Propagation Algorithm for Graph Data
Validation of Smets' Hypothesis in the Crowdsourcing Environment
α-Junctions of Categorical Mass Functions
Causal Compositional Models in Valuation-Based Systems
A New Matrix Addition Rule for Combining Linear Belief Functions
A New Multi-source Information Fusion Method Based on Belief Divergence Measure and the Negation of Basic Probability Assignment
Evidential Network with Conditional Belief Functions for an Adaptive Training in Informed Virtual Environment
A Qualitative Counterpart of Belief Functions with Application to Uncertainty Propagation in Safety Cases
A Classification Tree Method Based on Belief Entropy for Evidential Data
A Novel Privacy Preserving Framework for Training Dempster-Shafer Theory-Based Evidential Deep Neural Network
An Extension of Specificity-Based Approximations to Other Belief Function Relations
Decision Theory via Model-Free Generalized Fiducial Inference
Evidential Weighted Multi-view Clustering
Decision-Making with Belief Interval Distance
An Evidential k-nearest Neighbors Combination Rule for Tree Species Recognition
Deep Evidential Fusion Network for Image Classification
A Correspondence Between Credal Partitions and Fuzzy Orthopartitions
Heterogeneous Image Fusion for Target Recognition Based on Evidence Reasoning
Improving Micro-Extended Belief Rule-Based System Using Activation Factor for Classification Problems
Predicting Stock Returns in the Capital Asset Pricing Model Using Quantile Regression and Belief Functions
Modelling and Fusion of Imperfect Implication Rules
A Comparison between a Bayesian Approach and a Method Based on Continuous Belief Functions for Pattern Recognition
On Marginal Problem in Evidence Theory
Orbit Classification for Prediction Based on Evidential Reasoning and Belief Rule Base
Unequal Singleton Pair Distance for Evidential Preference Clustering
The Extension of Dempster's Combination Rule Based on Generalized Credal Sets
QLEN: Quantum-Like Evidential Networks for Predicting the Decision in Prisoner's Dilemma
Improving an Evidential Source of Information Using Contextual Corrections Depending on Partial Decisions
Outer Approximations of Coherent Lower Probabilities Using Belief Functions
An Evidential Pattern Matching Approach for Vehicle Identification
Distributed EK-NN Classification
A New Local Measure of Disagreement between Belief Functions - Application to Localization
Random Generation of Mass Functions: A Short Howto
Logistic Regression of Soft Labeled Instances via the Evidential EM Algorithm
Partial Ranking by Incomplete Pairwise Comparisons Using Preference Subsets
Second-Order Belief Hidden Markov Models
A Relational Representation of Belief Functions
An Interval-Valued Dissimilarity Measure for Belief Functions Based on Credal Semantics
A Mean Distance Between Elements of Same Class for Rich Labels
An OWA-Based Distance Measure for Ordered Frames of Discernment
Ensemble of Adapters for Transfer Learning Based on Evidence Theory
Evidential Clustering Based on Transfer Learning
General Geometry of Belief Function Combination
Modeling Qualitative Assessments under the Belief Function Framework
A Decomposable Entropy of Belief Functions in the Dempster-Shafer Theory
Identification of Elastic Properties Based on Belief Function Inference
Toward Updating Belief Functions over Belnap-Dunn Logic
On the Estimation of Mass Functions Using Self Organizing Maps
Logical and Evidential Inconsistencies Meet: First Steps
Designing a Belief Function-Based Accessibility Indicator to Improve Web Browsing for Disabled People
D-S Theory for Argument Confidence Assessment
Data Association for Object Enumeration Using Belief Function Theory
Evidential Trustworthiness Estimation for Cooperative Perception
Entropy-Based Learning of Compositional Models from Data
Belief Functions: Theory and Applications - 4th International Conference, BELIEF 2016, Prague, Czech Republic, September 21-23, 2016, Proceedings
Training and Evaluating Classifiers from Evidential Data: Application to E 2 M Decision Tree Pruning
Belief Functions: Theory and Applications - 5th International Conference, BELIEF 2018, Compiègne, France, September 17-21, 2018, Proceedings
Belief Theory for Large-Scale Multi-label Image Classification
An Ordered Family of Consistency Measures of Belief Functions
Belief and Plausibility Functions on the Space of Scalar Products and Applications
Entropy of Belief Functions in the Dempster-Shafer Theory: A New Perspective
Dempster-Shafer Credal Probabilistic Circuits
Reliability in the Thresholded Dempster-Shafer Algorithm for ESM Data Fusion
A Heuristic Approach for the Robust Flight Level Assignment Problem
Study of Distributed Data Fusion Using Dempster's Rule and Cautious Operator
Prognostic by Classification of Predictions Combining Similarity-Based Estimation and Belief Functions
Belief Functions: Theory and Applications - Third International Conference, BELIEF 2014, Oxford, UK, September 26-28, 2014. Proceedings
Linear Belief Functions for Data Analytics
On the α-Conjunctions for Combining Belief Functions
A Note About Entropy and Inconsistency in Evidence Theory
Cluster Decomposition of the Body of Evidence
Imbalance Data Classification Based on Belief Function Theory
E2CM: An Evolutionary Version of Evidential C-Means Clustering Algorithm
Fast Computation of L p Norm-Based Specialization Distances between Bodies of Evidence
Approximately Valid and Model-Free Possibilistic Inference
Towards a Theory of Valid Inferential Models with Partial Prior Information
Application of Belief Functions to Levee Assessment
Continuous Belief Functions: Focal Intervals Properties
The Kantorovich Problem and Wasserstein Metric in the Theory of Belief Functions
About Sources Dependence in the Theory of Belief Functions
Causal Transfer Evidential Clustering
A Variational Bayesian Clustering Approach to Acoustic Emission Interpretation Including Soft Labels
Valid Inferential Models Offer Performance and Probativeness Assurances
Choquet Integral as Maximum of Integrals with Respect to Belief Functions
An Efficient Computation of Dempster-Shafer Theory of Evidence Based on Native GPU Implementation
The Capacitated Vehicle Routing Problem with Evidential Demands: A Belief-Constrained Programming Approach
Map-Aided Fusion Using Evidential Grids for Mobile Perception in Urban Environment
Real Bird Dataset with Imprecise and Uncertain Values
Accelerated Dempster Shafer Using Tensor Train Representation
Large-Sample Theory for Inferential Models: A Possibilistic Bernstein-von Mises Theorem
SVM Classifier Fusion Using Belief Functions: Application to Hyperspectral Data Classification
The Choice of Generalized Dempster-Shafer Rules for Aggregating Belief Functions Based on Imprecision Indices
Mutual Information and Kullback-Leibler Divergence in the Dempster-Shafer Theory
Combination of Supervised and Unsupervised Classification Using the Theory of Belief Functions
A 3-Valued Logical Foundation for Evidential Reasoning
Evidential Object Recognition Based on Information Gain Maximization
Mathematical Theory of Evidence in Navigation
Decision Making: A Beliefs, Preferences and Constraints Model
Controling the Number of Focal Elements - Some Combinatorial Considerations
Ascribing Causality from Interventional Belief Function Knowledge
On Random Sets Independence and Strong Independence in Evidence Theory
A Practical Strategy for Valid Partial Prior-Dependent Possibilistic Inference
On Belief Functions and Random Sets
On Evidential Clustering with Partial Supervision
Merging Possibilistic Networks through a Disjunctive Mode
On Modelling and Solving the Shortest Path Problem with Evidential Weights
An Evidential RANSAC Algorithm and Its Application to GNSS Positioning
New Distance Measures of Evidence Based on Belief Intervals
Evidential Community Detection Based on Density Peaks
About Conflict in the Theory of Belief Functions
An Evidential Pixel-Based Face Blurring Approach
An Evidential Collaborative Filtering Approach Based on Items Contents Clustering
Multi-branch Recurrent Attention Convolutional Neural Network with Evidence Theory for Fine-Grained Image Classification
An Empirical Study to Determine the Optimal k in Ek-NNclus Method
Evidential Database: A New Generalization of Databases?
Reflections on DS/AHP: Lessons to Be Learnt
Improvements to the GRP1 Combination Rule
Large Scale Multinomial Inferences and Its Applications in Genome Wide Association Studies
Evidence-Based Modelling of Organizational Social Capital with Incomplete Data: An NCaRBS Analysis
Ordinal Classification Using Single-Model Evidential Extreme Learning Machine
Evidential Correlated Gaussian Mixture Markov Model for Pixel Labeling Problem
Idempotent Conjunctive Combination of Belief Functions by Distance Minimization
Entropy-Based Counter-Deception in Information Fusion
Belief Function Robustness in Estimation
Uncertainty-Aware Parzen-Rosenblatt Classifier for Multiattribute Data
Gamma Belief Functions
Multi-Sensor Fusion Using Evidential SLAM for Navigating a Probe through Deep Ice
Evidential Logistic Regression for Binary SVM Classifier Calibration
On the Conflict Measures Agreed with the Combining Rules
Multi-level Dempster-Shafer Speed Limit Assistant
Automated Hierarchical Conflict Reduction for Crowdsourced Annotation Tasks Using Belief Functions
Birnbaum's Importance Measure Extended for Non-coherent Systems
Combining Linear Equation Models via Dempster's Rule
Belief Reasoning Model for Mapping Public Participation in Transport Planning
Uncertainty Quantification in Regression Neural Networks Using Likelihood-Based Belief Functions
The BF-TOPSIS Approach for Solving Non-classical MCDM Problems
Generalised Max Entropy Classifiers
On Internal Conflict as an External Conflict of a Decomposition of Evidence
Game-Theoretical Semantics of Epistemic Probability Transformations
A New Parameterless Credal Method to Track-to-Track Assignment Problem
Algebraic Expression for the Relative Likelihood-Based Evidential Prediction of an Ordinal Variable
A Relationship of Conflicting Belief Masses to Open World Assumption
Generalizations of the Relative Belief Transform
An Intelligent System for Managing Uncertain Temporal Flood Events
Incremental Belief-Peaks Evidential Clustering
Active Evidential Calibration of Binary SVM Classifiers
Using Belief Function Theory to Deal with Uncertainties and Imprecisions in Image Processing
An Evidential Time-to-Event Prediction Model Based on Gaussian Random Fuzzy Numbers
Measuring Market Performance with Stochastic Demand: Price of Anarchy and Price of Uncertainty
Some Notes on Canonical Decomposition and Separability of a Belief Function
Evidential Segmentation of 3D PET/CT Images
Plausibility in DSmT
A Distributional Approach for Soft Clustering Comparison and Evaluation
Fast Unfolding of Credal Partitions in Evidential Clustering
Object Hallucination Detection in Large Vision Language Models via Evidential Conflict
A New ER-MCDA Mapping for Decision-Making Based on Imperfect Information
k-EVCLUS: Clustering Large Dissimilarity Data in the Belief Function Framework
Evidential Independence Maximization on Twitter Network
An Optimal Unified Combination Rule
Variational Approximations of Possibilistic Inferential Models
Combining Statistical and Expert Evidence within the D-S Framework: Application to Hydrological Return Level Estimation
An Evidential K-Nearest Neighbor Classifier Based on Contextual Discounting and Likelihood Maximization
Conditioning in Dempster-Shafer Theory: Prediction vs. Revision
Belief Fusion of Predictions of Industries in China's Stock Market
Which Statistical Hypotheses are Afflicted with False Confidence?
On the Quality of Optimal Assignment for Data Association
Reliability-Based Imbalanced Data Classification with Dempster-Shafer Theory
Belief Functions: Theory and Applications - Proceedings of the 2nd International Conference on Belief Functions, Compiègne, France, 9-11 May 2012
Hierarchical Proportional Redistribution for bba Approximation
A Belief Function Model for Pixel Data
A Quantitative Study of the Occurrence of a Railway Accident Based on Belief Functions
IPFP and Further Experiments
Revisiting the Notion of Conflicting Belief Functions
Vocalizations of the Parus minor Bird: Taxonomy and Automatic Classification
Responsible ACI: Expanding the Influence of Animal-Computer Interaction
Designing Technologies for Playful Interspecies Communication
Opportunities for ACI in PLF: Applying Animal- and User-Centred Design to Precision Livestock Farming
cirCAT: PURRtentio: a Litter Box that Monitors Feline Urine using Electrochemical Biosensors
Moon Jam: Enhancing welfare for nocturnal species
Into the Wild: Into the Wild: Opportunities and Challenges for Animal-Computer Interaction in Wildlife Conservation
Measuring Discrimination Abilities of Monk Parakeets Between Discreet and Continuous Quantities Through a Digital Life Enrichment Application
A Method for Evaluating Animal Usability (MEAU)
Inertial Measurement Based Heart and Respiration Rate Estimation of Dogs During Sleep for Welfare Monitoring
WOOFlex: A Wearable Device to Aid Canine Flexibility Exercises
Objective Assessment of Movement for Canine Neurology
Exploring human perceptions of dog-tablet playful interactions
Proceedings of the International Conference on Animal-Computer Interaction, ACI 2024, Glasgow, United Kingdom, December 2-5, 2024
Proceedings of the Ninth International Conference on Animal-Computer Interaction, ACI 2022, Newcastle-upon-Tyne, United Kingdom, December 5-8, 2022
Chameleo: walk like a chameleon detection with AI
ACI'21: Eight International Conference on Animal-Computer Interaction, Bloomington, IN, USA, November 8 - 11, 2021
Reflecting on Methods in Animal Computer Interaction: Novelty Effect and Habituation
Creating an Evaluation System for Future Guide Dogs: A Case Study of Designing for Both Human and Canine Needs
Designing digital enrichment for orangutans
Can Monk Parakeets compare quantities faster and/or better than Humans? A Research Proposal
Supporting Animal-Mediated Interventions at Home: The Role of Animals and Technology to Facilitate Daily Activities
Who Moved My Culture?: Expanding Anthropological Perspectives in ACI
Gorilla game lab: exploring modularity, tangibility and playful engagement in cognitive enrichment design
Play That Trunky Music: Development of an Auditory Enrichment Device for Elephants in Zoos
Is Nothing Better Than Something?: A Preliminary Investigation into Disembodied Stimuli for Home Alone Dogs
Animal-centered design needs dignity: a critical essay on ACI's core concept
The impact of training approaches on experimental setup and design of wearable vibrotactiles for hunting dogs
Sound to your objects: a novel design approach to evaluate orangutans' interest in sound-based stimuli
Drone Delivery Service: An Orangutan Enrichment Pilot Study
Blind dogs need guides too: towards technological support for blind dog caregiving
Use of a Tablet-Based Communication Board and Subsequent Choice and Behavioral Correspondences in a Goffin's Cockatoo (Cacatua goffiana)
Dog-Smart Homes: Portable controls optimised for mobility assistance dogs
User centered design approaches to measuring canine behavior: tail wagging as a measure of user experience
Spatial and Temporal Analytic Pipeline for Evaluation of Potential Guide Dogs Using Location and Behavior Data
A Design Proposal and Pilot Study for Addressing Welfare in Health Monitoring Practices in Commercial Fish Farms
A toolkit for animal touchscreen slider design
Noisy technology, unhappy dogs: where technology might support caregiving in the home
Wireless Tension Sensors for Characterizing Dog Frailty in Veterinary Settings
Alexa, Play Fetch! A Review of Alexa Skills for Pets
Technology for Bonding in Human-Animal Interaction
Monitoring the Welfare of Bears in Captivity
De-computing the pigeon sensorium
Exploration of Technology Requirements for the Assistance Canine Training Industry
Dogs using touchscreens in the home: a case study for assistance dogs operating emergency notification systems
Using Inertial Measurement Unit Data for Objective Evaluations of Potential Guide Dogs
Digital Enrichment with Captive Siamang: Video Showcase of Primate Preference
Exploring research methods for ACI (RM4ACI)
Wearable and embedded sensor systems for animal welfare monitoring
Salient features, combined detectors and image flipping: an approach to Haar cascades for recognising horses and other complex, deformable objects
Dry contact electrodes performance in canine ECG
Canine computer interaction: towards designing a touchscreen interface for working dogs
The Animal Whisperer Project
Teaching Animal-Computer Interaction: an Experience Report
Preliminary Evaluation of Dog-Drone Technological Interfaces: Challenges and Opportunities
Towards Rehabilitation Smart Habitats: Designing for North American Opossum Joeys
Use of experiential exhibitions for understanding of animal vision in school-age children and university students: expectations and concerns
Happy dogs and happy owners: using dog activity monitoring technology in everyday life
Investigation on Enhancement of the Sense of Life in Safari Park Online Tours with Animal Breathing Reproduction System
Towards a monitoring and emergency alarm system activated by the barking of assistant dogs
Towards multispecies interaction environments: textending accessibility to canine users
Do AI Models "Like" Black Dogs? Towards Exploring Perceptions of Dogs with Vision-Language Models
The Tenth International Conference on Animal-Computer Interaction, ACI 2023, Raleigh, NC, USA, December 4-8, 2023
"We have a volunteer coordinator who is unfortunately a volunteer": a qualitative assessment of animal shelters
Platypus Surfing: In Search of the Perfect Wave
Contact-Free Simultaneous Sensing of Human Heart Rate and Canine Breathing Rate for Animal Assisted Interactions
Designing for Trust: Autonomous Animal - Centric Robotic & AI Systems
Automatic Video Analysis of Motion-Based Dog Behavior
Digital Technologies in Nature
Co-designing Enrichment Toys with Bottlenose Dolphins: Playfulness as a Corrective to Anthropocentrism
K9-Blyzer: Towards Video-Based Automatic Analysis of Canine Behavior
P for Politics D for Dialogue: Reflections on Participatory Design with Children and Animals
Automated Depth Sensing-Based Computer Vision for Dog Tail Wagging Interpretation
Dogs Need Friends Too: Unleashing the Potential of Dog Wearables in Enhancing Canine Social Well-Being
Animal-Centred Sonic Interaction Design: Musical Instruments and Interfaces for Grey Parrots
Movement Patterns as Enrichment: Exploratory Canine-Drone Interaction Pilot Study
cirCAT: Cat Centered Smart Home System and Veterinary Complementary Devices