yusuke1997/dblp-id-title huggingface dataset:
Color Correction Meets Blind Validation for Image Capture: Are We Teaching to the Test?
Document Image Quality Assessment with Relaying Reference to Determine Minimum Readable Resolution for Compression
Relation Between Image Quality and Scan Resolution: Part I
Photoconductor surface modeling for defect compensation based on printed images
Dynamic Field Theory and Embodied Communication
Modeling Embodied Feedback with Virtual Humans
Modeling Multimodal Communication as a Complex System
Theory of Mind as a Theoretical Prerequisite to Model Communication with Virtual Humans
The Recognition and Comprehension of Hand Gestures - A Review and Research Agenda
History and Current Researches on Building a Human Interface for Humanoid Robots
From Annotated Multimodal Corpora to Simulated Human-Like Behaviors
The Evolution of Cognition - From First Order to Second Order Embodiment
True Emotion vs. Social Intentions in Nonverbal Communication: Towards a Synthesis for Embodied Conversational Agents
Modeling Communication with Robots and Virtual Humans, Second ZiF Research Group International Workshop on Embodied Communication in Humans and Machines, Bielefeld, Germany, April 5-8, 2006, Revised Selected Papers
Can't Get You Out of My Head: A Connectionist Model of Cyclic Rehearsal
Con-tact - On the Problem of the Absence of Eye Contact and Physical Contact in Virtual Interaction
'I, Max' - Communicating with an Artificial Agent
Talking to Virtual Humans: Dialogue Models and Methodologies for Embodied Conversational Agents
Typological and Computational Investigations of Spatial Perspective
Facial Deception in Humans and ECAs
Listening Heads
Modeling Facial Expression of Uncertainty in Conversational Animation
CLARITY AI: A Comprehensive Checklist Integrating Established Frameworks for Enhanced Research Quality in Medical AI Studies
Risk Communication in Healthcare: The Management of Misunderstandings
Proceedings of the 3rd AIxIA Workshop on Artificial Intelligence For Healthcare (HC@AIxIA 2024) co-located with the 23rd International Conference of the Italian Association for Artificial Intelligence (AIxIA 2024), Bolzano, Italy, 27-28 November 2024
Applying Retrieval-Augmented Generation on Open LLMs for a Medical Chatbot Supporting Hypertensive Patients
A Preliminary Study on Augmenting Neuroimaging data using a Diffusion Model (Short Paper)
An Adaptive Version of the Metropolis Adjusted Langevin Algorithm for Survival Prediction in a High-Dimensional Framework
Blueprint Personas in Digital Health Transformation (Short Paper)
Reinforcement Learning and Fuzzy Logic Modelling for Personalized Dynamic Treatment
Similarity-Based Positional Encoding for Enhanced Classification in Medical Images (Short Paper)
Encoding Methods Comparison for Stress Detection
Deep Learning Approaches for Segmentation and Classification of Breast Ultrasound Images (Short Paper)
Strategic Optimization of Blood Allocation in Blood Banks for Enhanced Resource Utilization
Addressing Challenges in Image Translation for Contrast-Enhanced Mammography using Generative Adversarial Networks
Detecting Anxiety and Depression in Dialogues: a Multi-Label and Explainable Approach
To Heart via Liver: a Study on Prognostic Stratification of Heart Disease in MASLD Patients using Machine Learning Models
Bayesian Networks in Medicine: Presenting Query Response Uncertainty for Decision Support (Short Paper)
Predicting COVID-19 Post-vaccination Mortality in Persons with Cardiovascular Disease Risk Factors Using Explainable AI
"Doctor, Is It Normal?" Enabling Medical Chatbots to Provide Certified Replies to Normalcy Questions (Short Paper)
A Physics-Based View of Brain-Network Alteration in Neurological Disease
Bimodal ECG-PCG Cardiovascular Disease Detection: a Close Look at Transfer Learning and Data Collection Issues
CHAT(Child Helper and Assistant Tool): An AI-Based Educational Tool for Supporting Neurodiverse Children with Autism, Dyscalculia, and DSA (Short Paper)
On Counterfactual Explainations of Cardiovascular Risk in Adolescents and Young Adults Breast Cancer Survivors
Exploring Zero-Shot Anomaly Detection with CLIP in Medical Imaging: Are We There Yet?
Assessing the Validity of a Functional Status Knowledge Graph in a Large-Scale Living Lab
Features Selection Through Autoencoder Filtering and Deepshap: an Iterative Algorithm (Short Paper)
Analyzing Trajectories of Clinical Markers in Patients with Sepsis Through Multivariate Longitudinal Clustering (Short Paper)
Artificial Intelligence in Emergency Care: Implementing Machine Learning for Triage Optimization in Italian Hospitals
Nuclear Medicine Rescheduling Problem: A Logic-based Approach
Argumentation-based Example Interchange for Multiagent Induction
Adapting a Fuzzy Random Forest for Ordinal Multi-Class Classification
Micro-Foundations of Macroeconomic Dynamics: The Agent-Based BAM Model
Human-like Heuristics in Scrabble
Data Driven Predictive Models Based on Artificial Intelligence to Anticipate the Presence of Plasmopara Viticola and Uncinula Necator in Southern European Winegrowing Regions
Comparison of Strategies Based on Evolutionary Computation for the Design of Similarity Functions
Measuring Rating Exigency: Identifying Relevant Consumer Reviews
Towards an Organizational MAS Methodology
Artificial Intelligence Research and Development - Proceedings of the 13th International Conference of the Catalan Association for Artificial Intelligence, l'Espluga de Francolí, Tarragona, Spain, 20-22 October 2010
Bootstrap-CURE Clustering: An Investigation of Impact of Shrinking on Clustering Performance
On Filtering the Training Prototypes in Nearest Neighbour Classification
Individual Specialization in Multi-Task Environments with Multiagent Reinforcement Learners
From Batch to Online Learning Using Copies
On Probabilistic Logical Argumentation
Classifying and Generalizing Successful Parameter Combinations for Sound Design
Using a Simulated Annealing to Enhance Learning in Adjustment Processes
No-Reference Digital Image Quality Assessment Based on Structure Similarity
MGNet: Depth Map Prediction from a Single Photograph Using a Multi-Generative Network
Efficient Path Planning Using Harmonic Functions Computed on a Non-regular Grid
Integrating the Organ and Tissue Allocation Processes through an Agent-Mediated Electronic Institution
A Tableau Calculus for MaxSAT Based on Resolution
Object-based Place Recognition for Mobile Robots Using Panoramas
Similarity for Attribute-value Representations in Fuzzy Description Logics
The SLAM problem: a survey
Image Texture Prediction Using Colour Photometric Stereo
Quaternion Phase CNN
Aggregation Operators and Ruled Surfaces
Hybr-iT Project: Initial Steps Towards Contextual Robotic Manipulation for Human-Robot Teams in Industrial Environments
Textual Descriptors for Browsing People by Visual Appearance
Neural networks for estimating the efficiency of a WWTP biologic treatment
An Efficient Closed Frequent Itemset Miner for the Moa Stream Mining System
Authorship Attribution Using Syntactic Dependencies
Argumentation Reasoning with Graph Neural Networks for Reddit Conversation Analysis
Polyp Re-Identification System for Video Capsule Endoscopy Studies
Mapping and Localization for Mobile Robots through Environment Appearance Update
Weakly Supervised Localization of Mammograms for Dense Breast Tissues
Unlocking the Power of LLMs: Navigating Challenges for Industry in the AI Renaissance
A First Approximation to a Cognitive Icon Query By Example Search Engine
Semantic disambiguation of taxonomies
A study of registration techniques for 6DoF SLAM
Detection of Epileptic Seizures with EEG Sequential Patterns
The use of the Traffic Lights Panel as a goodness-of-clustering indicator - An application to Financial Assets
Streamlining Text Pre-Processing and Metrics Extraction
Detecting Mammographic Abnormalities from Image Registration Results
An OWA-Based Multi-Criteria System for Assigning Papers to Reviewers
Agent-based agreement over concept meaning using contrast sets
Coarse Qualitative Model of 3-D Orientation
Scientific and technological challenges of musical interest
The Architecture of a Churn Prediction System Based on Stream Mining
Analysis of a collaborative advisory channel for group recommendation
Evaluating Feature Selection Algorithms
Evolutionary Processes in Economics: Multi-Agent Model of Macrogenerations Dynamics
Some Advances on the Solution of the Generalized Law of Importation for Fuzzy Implication Functions
A randomized algorithm for exact transduction
Exploring Genetic Algorithms and Simulated Annealing for Immobile Location-Allocation Problem
The Use of NLP Interchange Format for Question Answering in Organizations
Perceptual Maps to Aggregate Information from Decision Makers
Feature Learning for Breast Tumour Classification Using Bio-Inspired Optimization Algorithms
Encoding Basic Arithmetic Operations for SAT-Solvers
RCND: Random Based Clustering for Numerical Data
Testing Reinforcement Learning Explainability Methods in a Multi-Agent Cooperative Environment
Region-Boundary Cooperative Image Segmentation Based on Active Regions
On the Use of User-generated Content in Critiquing Recommendation
Classifying Objects at Different Sizes with Multi-Scale Stacked Sequential Learning
Cognitive Architecture: The Key to AI-Based Digital Transformation in Organizations
Sentient Embodied Conversational Agents: Architecture and Evaluation
Multicast Session Protection Planner - Tool to plan and deploy protection infrastructure: a SPEA approach
A Flexible Agent-Oriented Solution to Model Organisational and Normative Requirements in Assistive Technologies
Cognitive Similarity Through Bibliometric Analysis
Foreground Detection in a Multi-Target Fish Tracking from Video-Recordings Using U-Net Based Architecture
On the Analysis of Utility and Risk for Masked Data in Big Data: A Small Data Analysis
On the Importance of Color Pre-Processing for Object Detection in Submarine Images
Improving Pseudobagging techniques
Analyzing Car Configurator Impact Through Genetic Algorithm from a Regional Perspective
An Android Malware Detection Framework Using Graph Embeddings and Convolutional Neural Networks
Comparison of Topologies in Peer-to-Peer Data Sharing Networks
Sequential prediction under incomplete feedback
A Rule-Extraction Algorithm for Describing Perceptual Parametric Subspaces in Algorithmic Composition Systems
Explanation of a Clustered Case Memory Organization
Deep Causal Graphs for Causal Inference, Black-Box Explainability and Fairness
Efficient Fundus Image Gradeability Approach Based on Deep Reconstruction-Classification Network
Assessing Confidence in Cased Based Reuse Step
Solving MaxSAT with Natural Deduction
Phase Transition in Realistic Random SAT Models
Determining Classic Versus Modern Style in Fashion
Automated Cleanliness Scoring and Digestive Content Segmentation for Capsule Endoscopy
A Case-Based Hybrid System for Injection Molding Sensorization
Towards a Universal Neural Network Encoder for Time Series
Multidimensional OWA Operators in Group Decision Making
Towards an Efficient Use of Resources in All-Optical Networks
Multi-Scale Multi-Resolution Stacked Sequential Learning
Improving On-Line Debates by Aggregating Citizen Support
Proprioceptive Feedback and Intrinsic Motivations in Early-Vocal Development
About model-based distances
Artificial Intelligence Research and Development - Proceedings of the 26th International Conference of the Catalan Association for Artificial Intelligence, CCIA 2024, Barcelona, Spain, 2-4 October 2024
Contextual TV Show Recommendation
A General Model for the Metainformation of Complex Questionnaires for Automatic Preprocessing and Reporting Under INSESS Methodology
Selection of Gabor Filters with Choquet Integral for Texture Analysis in Mammogram Images
Artificial Intelligence Research and Development - Proceedings of the 24th International Conference of the Catalan Association for Artificial Intelligence, CCIA 2022, Sitges, Spain, 19-21 October 2022
Measuring Distances Between Medical Entities. Step 1: DrugBank
Longitudinal Segmentation of Multiple Sclerosis Lesions Using nnU-Net Architecture
Approaches to Hospital Process Management
Choosing the Root of the Tree Decomposition When Solving WCSPs: Preliminary Results
Hipertension Demand Forecasting Using Cross-Correlation and Lagged Multiple Linear Regression Models for Anticipating Health Resources Needs
Cartogram-Based Data Visualization Using the Growing Hierarchical SOM
Artificial Intelligence Research and Development - Proceedings of the 23rd International Conference of the Catalan Association for Artificial Intelligence, CCIA 2021, Virtual Event, 20-22 October, 2021
Disjunction of Non-binary and Numeric Constraint Satisfaction Problems
Optimal Extension of Error Correcting Output Codes
Long Short-Term Memory to Predict 3D Amino Acids Positions in GPCR Molecular Dynamics
From Clustering to Intelligent Decision Support System: An Application to 3D Printing
Assessing Falling Risk in Elderly with the Ten Meter Walking Test: A Machine Learning Approach
Using Contextual Information in Music Playlist Recommendations
Kohonen self-organizing maps and mass balance method for the supervision of a lowland river area
Evaluation of knowledge bases by means of multi-dimensional OWA operators
Maximum and Minimum of Discrete Fuzzy Numbers
Improving Voltage Ride-Through Procedures in Distributed Generation Systems by Reinforcement Learning
Referenceless Image Quality Assessment Utilizing Deep Transfer-Learned Features
Evaluation of the SIFT Object Recognition Method in Mobile Robots
Imbalanced Training Set Reduction and Feature Selection Through Genetic Optimization
Learning Force-Based Robot Skills from Haptic Demonstration
Planning under temporal uncertainty indurative actions
Bug-based T 2 : A New Globally Convergent Approach to Reactive Navigation
Towards Object Descriptions in Natural Language from Qualitative Models
2-LAMA Architecture vs. BitTorrent Protocol in a Peer-to-Peer Scenario
An ontology-based record linkage method for textual microdata
Tactical Modularity in Cognitive Systems
Sorting Hams Using Bagged Decision Trees in a Commercial Pig Slaughterhouse
Data Mining and Query Answer techniques applied to a bio-nutritional trials focused Expert System
Tweet-SCAN: An event discovery technique for geo-located tweets
A New Lexical Chain Algorithm Used for Automatic Summarization
Improvement of Mass Detection In Breast X-Ray Images Using Texture Analysis Methods
Clause Branching in MaxSAT and MinSAT
Reducing the Learning Domain by Using Image Processing to Diagnose COVID-19 from X-Ray Image
Blockchain and Artificial Intelligence: Challenges and Opportunities
A Knowledge Discovery Methodology for Identifying Vulnerability Factors of Mental Disorder in an Intellectually Disabled Population
Towards an Implementation of Merging Operators in Many-Valued Logics
Probabilistic Appearance-based Mapping and Localization using the Feature Stability Histogram
Experimental Study of the Usefulness of External Face Features for Face Classification
Reasoning About Actions for the Management of Urban Wastewater Systems: Preliminary report
PN to CSP Methodology: Improved Bounds
Data-Driven Analysis of Friction Stir Welding for Aerospace Applications
Automatic Hand Detection in RGB-Depth Data Sequences
Challenges in the Exploitation of Historical Clinical Data for the Classification of Diabetic Retinopathy Patients
A Windowing based GPU optimized strategy for the induction of Decision Trees in JaCa-DDM
Visual Localization Using Ground Points
Trading Paper Clips - An Analysis of "Trading Up" in Artificial Societies without Altruists
Feature Subset Selection in an ICA Space
Classification of Breast Cancer Molecular Subtypes from Their Micro-Texture in Mammograms Using a VGGNet-Based Convolutional Neural Network
Performance Analysis of Bag of Visual Words for Recognition of Complex Scenes
One-dimensional T-preorders
Ramon Llull: From the Ars Magna to Agreement Computing
On Improving Breast Density Segmentation Using Conditional Generative Adversarial Networks
Predicting Personalized Quality of Life of an Intellectually Disabled Person Utilizing Machine Learning
DemetrIA: Artificial Intelligence and Ethics for the Voice Cloning of Grandfather Demetrio
A System for Generation and Visualization of Resource-Constrained Projects
Qualitative Comparison of Temporal Series. QSI
Enhancing Text Spotting with a Language Model and Visual Context Information
A hybrid system combining Self Organizing Maps with Case Based Reasoning in Structural Assessment
An inference model for analyzing termination conditions of Evolutionary Algorithms
Using Community Detection Techniques to Discover Non-Explicit Relationships in Neurorehabilitation Treatments
Knowledge Discovery in a Wastewater Treatment Plant with Clustering Based on Rules by States
Unsupervised Pairwise Causal Discovery on Heterogeneous Data Using Mutual Information Measures
How to Demonstrate Incentive Compatibility in Multi-Attribute Auctions
User Profile Analysis in Reddit Debates
A Heuristic Technique for the Capacity Assessment of Periodic Trains
Hierarchical Inference Applied to Cyc
Towards Detecting Structures in Computational Astrophysics Plasma Simulations: Using Machine Learning for Shock Front Classification
Recommenders for Improved Lesson Planning in Formal Education
Pulse Identification Using SVM
WEU-Net: A Weight Excitation U-Net for Lung Nodule Segmentation
Supporting Enrollment in Higher Education Through a Visual Recommendation System
Using ant colony systems with pheromone dispersion in the traveling salesman problem
Real-Time Object Segmentation Using a Bag of Features Approach
A comparison of two MCDM methodologies in the selection of a windfarm location in Catalonia
Considering the Anchoring Problem in Robotic Intelligent Bin Picking
A Max-SAT-Based Approach to Constructing Optimal Covering Arrays
Distributed Meeting Scheduling
METO: A Motivated and Emotional Task-Oriented 3D Agent
Interaction, observance or both? Study of the effects on convention emergence
Low-complex Real-Time Breathing Monitoring System for Smartphones
Enabling Reproducibility in Group Recommender Systems
Analyzing Distances in Word Embeddings and Their Relation with Seme Analysis
Deep Neural Classification of Darknet Traffic
Fault Detection and Identification in a Fuel Cell System
FoodPlaces: Learning Deep Features for Food Related Scene Understanding
On Partial Deduction and Conversational Agents
Evolution Strategies for DS-CDMA Pseudonoise Sequence Design
Limits of Multi-Agent Predictive Models in the Formation of Social Conventions
Integration of Different Fuzzy Rule-Induction Methods to Improve the Classification of Patients with Diabetic Retinopathy
Feature Selection with Non-Parametric Mutual Information for Adaboost Learning
Robots for Care: A Social Scientist's View
Web pattern detection for Business Intelligence with data mining
A Formalization of Trust Alignment
Breast Tumor Classification in Digital Tomosynthesis Based on Deep Learning Radiomics
Open Innovation Platform: Adding Social Machines for Enlightening Discussions
Representing Qualitative Trajectories by Autonomous Mobile Robots
How Hard is a Commercial Puzzle: the Eternity II Challenge
The DeuteroNoise Dataset: An Initial Exploration of an Underwater Vessel Sound Dataset Within the Framework of a JPI-Oceans Project
A Lattice Structure for the Set of Interval-Valued Fuzzy-Qualitative Labels
Resource Allocation in Home Care Services Using Reinforcement Learning
Integrating information sources for recommender systems
Fuzzy Logic-Based Variable Encoding for Improved Diabetic Retinopathy Prediction
Averaged Similarities Generable by Single Attributes
Solving Ceramic Tile Factory Production Programming by MAS
Open Source Cardiac Digital Twinning of Human Ventricular Repolarisation from 12-Lead ECG and MRI
Using symbolic descriptions to explain similarity on CBR
Modeling Problem Transformations based on Data Complexity
An approach for Mail-Robot navigation using a CBR technique
Analysis and Generation of Pseudo-Industrial MaxSAT Instances
Preserving T-Transitivity
A First Approach to Activity Recognition using Topic Models
Interactive Optic Disk Segmentation via Discrete Convexity Shape Knowledge Using High-Order Functionals
Mild Abstraction in Spatial Problem Solving
Mass Segmentation using a Pattern Matching Approach with a Mutual Information Based Metric
Spanish and Catalan Polarity Detection in Student Satisfaction Surveys
Influencer Detection Approaches in Social Networks: A Current State-of-the-Art
An Agent-Based Simulation Framework for Firefighters Training
Intersection and Signed-Intersection Kernels for Intervals
Convergent Stochastic Almost Natural Gradient Descent
Cutting Tool Wearing Identification Through Predictive Maintenance and Its Impact on Surface Quality
Multi Objective Genetic Algorithm for Optimal Route Selection from a Set of Recommended Touristic Activities
KDSM Methodology for Knowledge Discovery from Ill-Structured Domains Presenting Very Short and Repeated Serial Measures with Blocking Factor
Artificial Intelligence Research and Development - Proceedings of the 16th International Conference of the Catalan Association for Artificial Intelligence, Vic, Catalonia, Spain, October 23-25, 2013
Mássimo Tistarelli Talk
Application of CMSA to the Minimum Positive Influence Dominating Set Problem
Applying IRON to a Virtual Community Scenario
Image Segmentation Using Active Contours Driven by Bias Fitted Image Robust to Intensity Inhomogeneity
Comparing feature-based and distance-based representations for classification similarity learning
Proposition of NON-probabilistic entropy as reliability index for decision making
Introducing a 'Difficulty Factor' for Dataset Bi-Classification Using SVM
Weighted Dissociated Dipoles for Evolutive Learning
Computational Intelligence in Interior Design: State-of-the-Art and Outlook
Scholar Agent: Auction Mechanisms for Efficient Publication Selection on Congresses and Journals
Pattern Discovery in Melanoma Domain Using Partitional Clustering
Improving the Team-work in Heterogeneous Multi-agent Systems: Situation Matching Approach
The Emotional Impact of Hotel Room Colour in Spanish and Equatorian Tourists
Reward System for Completing FAQs
On Modus Ponens in Discrete Implication Derived from Discrete Uninorms
A Comparison of Autonomous Vehicle Navigation Simulators Under Regulatory and Reinforcement Learning Constraints
An Approach to Gait Analysis from Human-Rollator Interaction: The i-Walker
Reversal Error in Mathematics: Training Against It Using ε⃔ coach
Towards Multilingual Natural Language Generation Within Abstractive Summarization
Music Information Retrieval: From Signals to Meaning; from Classical Music to Flamenco
Bayesian Optimization with Additive Kernels for the Calibration of Simulation Models to Perform Cost-Effectiveness Analysis
Kernel Functions for Categorical Variables with Application to Problems in the Life Sciences
A Visual Distance for WordNet
A Qualitative Color Harmony Theory
Focus and Bias: Will It Blend?
From Correlation to Imagination: Deep Generative Models for Artificial Intelligence
Target Detection and Tracking for Grasping Sea Floor Objects During Underwater Intervention Operations
Complex Event Processing for Public-Cycling Transport Supervision
Statistical Monitoring of Injection Moulds
Using the Average Landmark Vector Method for Robot Homing
Designing a Multi-Agent system to simulate scenarios for decision-making in river basin systems
Feature Engineering and Machine Learning Predictive Quality Models for Friction Stir Welding Defect Prediction in Aerospace Applications
Modelling the Human Values Scale in Recommender Systems: A first approach
Kalman Filters to Generate Customer Behavior Alarms
Random SAT Instances à la Carte
Go with the Flow: Recurrent Networks for Wind Time Series Multi-Step Forecasting
Segmenting the Optic Disc Using a Deep Learning Ensemble Model Based on OWA Operators
From Games to Moral Agents: Towards a Model for Moral Actions
Completing the Virtual Analogy of Real Institutions via iObjects
Speeding up Reinforcement Learning by Combining Attention and Agency Features
Fish Size Estimation from Instance Segmentation Results Obtained with a Deep Convolutional Network