yusuke1997/dblp-id-title huggingface dataset:
An Ensemble Approach for the Diagnosis of Cognitive Decline with Missing Data
Frailty Related Survival Risks at Short and Middle Term of Older Adults Admitted to Hospital
Dealing with Missing Data and Uncertainty in the Context of Data Mining
Friends Forever: Social Relationships with a Fuzzy Agent-Based Model
Network Anomaly Classification by Support Vector Classifiers Ensemble and Non-linear Projection Techniques
Evolutionary Non-linear Great Deluge for University Course Timetabling
Fusion of Similarity Measures for Time Series Classification
Predicting Innovative Cities Using Spatio-Temporal Activity Patterns
Supervised Hyperparameter Estimation for Anomaly Detection
Agglomerative Constrained Clustering Through Similarity and Distance Recalculation
Evaluation of Bounding Box Level Fusion of Single Target Video Object Trackers
Zero-Shot and Few-Shot Learning with Vision-Language Models for Post-disaster Structural Damage Assessment
On the Design of a CADS for Shoulder Pain Pathology
Using a Hybrid Cellular Automata Topology and Neighborhood in Rule Discovery
Application of Mixture of Experts to Construct Real Estate Appraisal Models
Hybrid Computational Methods for Hyperspectral Image Analysis
A Sensory Control System for Adjusting Group Emotion Using Bayesian Networks and Reinforcement Learning
Integration of Self-organization and Cooperation Mechanisms to Enhance Service Discovery
A Fuzzy Approach of the Kohonen's Maps Applied to the Analysis of Biomedical Signals
Reduct-Based Analysis of Decision Algorithms: Application in Computational Stylistics
A Genetic Algorithm for Solving the Generalized Vehicle Routing Problem
Towards Automatic Image Annotation Supporting Document Understanding
Lattice Independent Component Analysis for Mobile Robot Localization
Concept Drift Detection to Improve Time Series Forecasting of Wind Energy Generation
Applying Reinforcement Learning to Multi-robot Team Coordination
Density-Based Clustering in Cloud-Oriented Collaborative Multi-Agent Systems
Evolutionary Multi-objective Scheduling for Anti-Spam Filtering Throughput Optimization
Hybrid Vision System for Minor Pre-assembly Identification in a Robotic Welding Cell
Nowcasting for Improving Radon-222 Forecasting at Canfranc Underground Laboratory
An Abstract Argumentation Framework for Supporting Agreements in Agent Societies
Closures of Downward Closed Representations of Frequent Patterns
Using Self-Organizing Maps for Intelligent Camera-Based User Interfaces
Building a Classification Model Using Affinity Propagation
Influence Maximization and Extremal Optimization
Performance Analysis of Fuzzy Aggregation Operations for Combining Classifiers for Natural Textures in Images
Black Widow Optimization for the Node Location Problem in Localization Wireless Sensor Networks
Reconciling Knowledge in Social Tagging Web Services
Evaluation of Subspace Clustering Quality
Agent-Based Simulation of Business Processes in a Virtual World
An Evolutionary Ensemble-Based Method for Rule Extraction with Distributed Data
Deformation Based Features for Alzheimer's Disease Detection with Linear SVM
Combining Diverse One-Class Classifiers
Model and Feature Selection in Hidden Conditional Random Fields with Group Regularization
Waste Collection Vehicle Routing Problem Using Filling Predictions
Augmented Reality: An Observational Study Considering the MuCy Model to Develop Communication Skills on Deaf Children
Theory-Inspired Optimizations for Privacy Preserving Distributed OLAP Algorithms
A Modular Distributed Decision Support System with Data Mining Capabilities
Intelligent System for Channel Prediction in the MIMO-OFDM Wireless Communications Using a Multidimensional Recurrent LS-SVM
The Impact of Data Annotations on the Performance of Object Detection Models in Icon Detection for GUI Images
Aspects on Image Edge Detection Based on Sensitive Swarm Intelligence
Early Failure Detection for Air Production Unit in Metro Trains
Evaluation of Relative Indexes for Multi-objective Clustering
Combining Random Subspace Approach with smote Oversampling for Imbalanced Data Classification
Analyzing the Impact of Data Augmentation on Tumor Detection and Classification in Mammograms
A Novel Adaptive Genetic Algorithm for Mobility Management in Cellular Networks
Hybrid Methodology Based on Bayesian Optimization and GA-PARSIMONY for Searching Parsimony Models by Combining Hyperparameter Optimization and Feature Selection
Hybrid Multi-agent System for Knowledge Management in Distributed Control System
Concept Discovery in Graph Databases - A Case Study with Neo4j
On Distributed Cooperative Control for the Manipulation of a Hose by a Multirobot System
Fusion of Single View Soft k-NN Classifiers for Multicamera Human Action Recognition
Approximate Versus Linguistic Representation in Fuzzy-UCS
Analysis of the Effectiveness of G3PARM Algorithm
Ambient Temperature Modelling through Traditional and Soft Computing Methods
Modelling Stress Recognition in Conflict Resolution Scenarios
Hybrid Methods Aiding Organisational and Technological Production Preparation Using Simulation Models of Nonlinear Production Systems
Unsupervised Feature Selection in High Dimensional Spaces and Uncertainty
Resilience to the Flowing Unknown: An Open Set Recognition Framework for Data Streams
A Convex Formulation of SVM-Based Multi-task Learning
Integration of Intelligent Information Technologies Ensembles for Modeling and Classification
Managing Monotonicity in Classification by a Pruned AdaBoost
Stereovision-Based Obstacle Avoidance Procedure for Autonomous Mobile Platforms
Comparative Analysis of Cattle Behavior Across Intensive Dairy Farms Through Dimensional Reduction Techniques
Comparison of Fuzzy Functions for Low Quality Data GAP Algorithms
Window Size Optimization for Gaussian Processes in Large Time Series Forecasting
Using Cultural Algorithms to Improve Intelligent Logistics
Perplexity, Uncertainty, and the Limits of Active Learning
Hyperspectral Image Analysis Based on Color Channels and Ensemble Classifier
A Feature Selection and Association Rule Approach to Identify Genes Associated with Metastasis and Low Survival in Sarcoma
Data Mining for Grammatical Inference with Bioinformatics Criteria
Effective Diagnosis of Alzheimer's Disease by Means of Association Rules
An Approach of Soft Computing Applications in Clinical Neurology
Clustering Techniques Performance Analysis for a Solar Thermal Collector Hybrid Model Implementation
Mining Correlated High-Utility Itemsets Using the Bond Measure
Reducing Artifacts in TMS-Evoked EEG
Measuring and Visualising Similarity of Customer Satisfaction Profiles for Different Customer Segments
Expert System for Handwritten Numeral Recognition Using Dynamic Zoning
A Functional Taxonomy for Artifacts
A New Tool for the Modeling of AI and Machine Learning Applications: Random Walk-Jump Processes
Fuzzy Modeling of Digital Products Pricing in the Virtual Marketplace
A Novel Lattice Associative Memory Based on Dendritic Computing
Discovery of Genes Implied in Cancer by Genetic Algorithms and Association Rules
Hybrid Optimization Method Applied to Adaptive Splitting and Selection Algorithm
A New Training Algorithm for Support Vector Machines
Optimizing LIME Explanations Using REVEL Metrics
FRB-Dialog: A Toolkit for Automatic Learning of Fuzzy-Rule Based (FRB) Dialog Managers
Revisiting Automatic Essay Assessment: A Relative Approach
A Hybrid Genetic Algorithm with Variable Neighborhood Search Approach to the Number Partitioning Problem
Case-Based Argumentation Infrastructure for Agent Societies
Evolving Neural Networks with Maximum AUC for Imbalanced Data Classification
Best Fuzzy Partitions to Build Interpretable DSSs for Classification in Medicine
An Embeddable Fusion Framework to Manage Context Information in Mobile Devices
On Performance of DRSA-ANN Classifier
Learning-Based Multi-agent System for Solving Combinatorial Optimization Problems: A New Architecture
Surface Defect Modelling Using Co-occurrence Matrix and Fast Fourier Transformation
Using Genetic Algorithms to Improve Prediction of Execution Times of ML Tasks
Classification Agent-Based Techniques for Detecting Intrusions in Databases
Analysis of Measures of Quantitative Association Rules
Frequent Sets Discovery in Privacy Preserving Quantitative Association Rules Mining
A Simple Noise-Tolerant Abstraction Algorithm for Fast k-NN Classification
Context-Aware Data Mining: Embedding External Data Sources in a Machine Learning Process
Neuronal Electrical Behavior Modeling of Solar Panels
CBRid4SQL: A CBR Intrusion Detector for SQL Injection Attacks
A Study on the Noise Label Influence in Boosting Algorithms: AdaBoost, GBM and XGBoost
Leveraging Distributed Representations of Elements in Triples for Predicate Linking
Architecture for Fault Detection in Sandwich Panel Production Using Visual Analytics
Finding Communities in Recommendation Systems by Multi-agent Spatial Dynamics
Improving the Behavior of the Nearest Neighbor Classifier against Noisy Data with Feature Weighting Schemes
Automatic Behavior Pattern Classification for Social Robots
Using the Variational-Quantum-Eigensolver (VQE) to Create an Intelligent Social Workers Schedule Problem Solver
The Problem of Concept Learning and Goals of Reasoning in Large Language Models
Supporting Emotion Recognition in Human-Robot Interactions: An Experimental Italian Textual Dataset
Multi-agent System for Management and Monitoring of Routes Surveillance
Multi-agent ERA Model Based on Belief Interaction Solves Wireless Sensor Networks Routing Problem
Controlling the Prediction Accuracy by Adjusting the Abstraction Levels
Learning from Normal Brain Activity for Automatic Detection of Photoparoxysmal Responses as Electroencephalogram Anomalies
Hybrid Sparse Linear and Lattice Method for Hyperspectral Image Unmixing
Partial Least Squares for Feature Extraction of SPECT Images
A Thermodynamical Model Study for an Energy Saving Algorithm
Loss Functions for Time Series Forecasting in Network Security Situation Awareness
Data Processing on Database Management Systems with Fuzzy Query
An Hybrid Registration Method for SLAM with the M8 Quanergy LiDAR
PHAT: Physical Human Activity Tester
Motion Capture Systems for Jump Analysis
Hybrid Patient Classification System in Nursing Logistics Activities
A Genetic Algorithm Applied to a Main Sequence Stellar Model
Fuzzy Control of Trade-Off between Exploration and Exploitation Properties of Evolutionary Algorithms
Hybrid Artificial Intelligence Systems, 5th International Conference, HAIS 2010, San Sebastián, Spain, June 23-25, 2010. Proceedings, Part I
Scalability of a Methodology for Generating Technical Trading Rules with GAPs Based on Risk-Return Adjustment and Incremental Training
Self-Organizing Maps versus Growing Neural Gas in Detecting Data Outliers for Security Applications
Minimizing Energy Consumption in Heating Systems under Uncertainty
Fall Detection Using Body-Worn Accelerometer and Depth Maps Acquired by Active Camera
A Proof of Concept in Multivariate Time Series Clustering Using Recurrent Neural Networks and SP-Lines
A Novel Hybrid Algorithm for Solving the Clustered Vehicle Routing Problem
Addressing Constrained Sampling Optimization Problems Using Evolutionary Algorithms
On the Influence of Admissible Orders in IVOVO
Forecasting Satellite Trajectories by Interpolating Hybrid Orbit Propagators
Student Performance Prediction Applying Missing Data Imputation in Electrical Engineering Studies Degree
A Hybrid Algorithm for the Prediction of Computer Vision Syndrome in Health Personnel Based on Trees and Evolutionary Algorithms
A Comparison of Multi-objective Grammar-Guided Genetic Programming Methods to Multiple Instance Learning
Fraudulent E-Commerce Websites Detection Through Machine Learning
Evaluation of Decision Trees Algorithms for Position Reconstruction in Argon Dark Matter Experiment
Augmented Narratives: A Data-Driven Platform for Interactive Storytelling based on Artificial Intelligence and Knowledge Representation techniques
Bridging LLMs and Symbolic Reasoning in Educational QA Systems: Insights from the XAI Challenge at IJCNN 2025
A User-Centered Approach to Create Realistic Datasets for AI. Case Study: Creditworthiness in the Banking Sector
A Privacy-Preserving Schema Matching Technique based on k-Anonymity
HybridKAN: Leveraging Multi-Sized Sub-MLPs for Enhanced Performance
Proceedings of the 4th Italian Conference on Big Data and Data Science - Workshops (ITADATA-WS 2025), Turin, Italy, September 9-11, 2025
On effective ways to warn people against misleading contents
Assessing Large Language Models Inference Performance on a 64-core RISC-V CPU with Silicon-Enabled Vectors
Distributed Resource Orchestration at the Edge Based on Consensus
Proceedings of the 1st Italian Conference on Big Data and Data Science (itaDATA 2022), Milan, Italy, September 20-21, 2022
BoXoR-C: Coherence and Directionality of Counterfactual Explanations
Homomorphic Encryption for EDSS Classification: Safeguarding Patient Privacy in MRI-Based Assessment of Multiple Sclerosis
A Sound and Repeatable Approach to Building Integrated Repositories of Genomic Data
Automatic Evaluation of Cancer Reduction during Radiotherapy
Dividi et Impera: Enhancing Synthetic Data Fidelity through Data Partitioning
Multimodal Emotion Recognition from Voice and Video Signals
Healthcare Data Summarization via Medical Entity Recognition and Generative AI
An Experimental Comparison of Large Language Models for Emotion Recognition in Italian Tweets
Diabetes Management: Non-Invasive Glucose Monitoring via ECG and Machine Learning
Unveiling the Roots of Big Data Project Failure: a Critical Analysis of the Distinguishing Features and Uncertainties in Evaluating Big Data Potential Value
High-Performance Computation on a Rust-based distributed ABM engine
Anomaly Detection for Physical Threat Intelligence
Toward Explainable Biomedical Deep Learning
A Service-Oriented Architecture for the Digital Thread of Smart Products
Dataspaces: Concepts, Architectures and Initiatives
Towards an AI-assisted T1DM Data Analysis Pipeline
A secure AI-enabled platform to support the automated Alzheimer's disease diagnosis
A Service Infrastructure for Management of Legal Documents
Benchmarking AyraDB Next-Generation Database on Davinci-1 Super-Computer
From Data Sources to User Screens: a Multimodal hEalth Data lakehouse for ITAly (MEDITA)
Extracting Data from Text and Querying it via KGQA and BESt Queries
In-browser Visualization of Large-scale Graphs
Proceedings of the 4th Italian Conference on Big Data and Data Science (ITADATA 2025), Turin, Italy, September 9-11, 2025
Variational Inference for the Partial Credit Model
Network Traffic-Based Malware Detection for Android Devices
Proceedings of the 2nd Italian Conference on Big Data and Data Science (ITADATA 2023), Naples, Italy, September 11-13, 2023
Exploring the Dataset Landscape for Automated Propaganda Detection: A Data-Centric Insight
The SWH-Analytics Framework
A Manifesto for Applied Data Science - Reasoning from a Business Perspective
Health Data Sharing for Secondary Use: a Critical Overview
Safe Egress Scenario Detection: from Baseline to Active Events
A Federated Learning Architecture for Prostate MRI Image Segmentation
Real-Time Detection of Social Media Disinformation Using DISARM: Twitter Case Study
Improving Preliminary Diagnosis in Italian Through a Retrieval-Augmented Medical Chatbot
Web3 Social Platforms: Modeling, Mining and Evolution
Towards a Realtime FRB Pipeline at the Northern Cross Radio Telescope
Analysis of Video Lessons: a Case for Smart indexing and Topic Extraction
Proceedings of the 2nd Special Track on Big Data and High-Performance Computing (BigHPC 2024) co-located with the 3rd Italian Conference on Big Data and Data Science (ITADATA 2024), Pisa, Italy, September 17-19, 2024
Exascale In-situ Visualization for Astronomy & Cosmology
Are Large Language Models Better Peer‑Reviewers Than Humans? An Early Investigation on OpenReview
Enhancing Human Resources through Data Science: a Case in Recruiting
Quantum-Enhanced Causal Inference for High-Dimensional Astronomical Data - Extended Abstract
S-PIC4CHU: Semantics-Enriched Techniques for Data Preparation in Data Science
Workflow Models for Heterogeneous Distributed Systems
Automatic Code Decomposition, Parallelization, and Distribution on Heterogeneous Systems. A Case Study on Training a Neural Network for Image Classification
(Un)supervised Univariate Feature Extraction and Selection for Dimensional Data
Reconciling Statistical and Causal Metrics of Fairness in Machine Learning on Data-Driven Systems
Question Answering through Retrieval-Augmented Large Language Models: an Experimental Evaluation
Effective Heuristics for Finding Small Minimal Feedback Arc Set Even for Large Graphs
Space-efficient private estimation of quantiles
Enhancing Scalability of Distributed SNPs Calling Pipelines Using Cluster-Driven Partitioning Strategy
Large-scale Computing Frameworks: Experiments and Guidelines
DIORAMA: Digital twIn fOR sustAinable territorial MAnagement
Explainable AI methods and their interplay with privacy protection
A Semantic Rule Based Expert System for the Discovery and Composition of Cloud Services
Discovering Functional Dependencies: Can We Use ChatGPT to Generate Algorithms?
Benchmarking FedAvg and FedCurv for Image Classification Tasks
Representation of the temporal ego-networks through graph evolution rules: a tool for Web3 applications
PARSAL: Pipeline for Automatic Retrieval and Structuring of Academic Literature
Data Analytics on Twitter for Evaluating Women Inclusion and Safety in Modern Society
Demystifying Power-of-Two Quantization: Benchmarking Inference on AVX and RVV
Investigating Edge Fine-Tuning of Large Language Models in a Federated Environment
Coverage-based Queries: Nondiscrimination Awareness in Data Transformation
miniLB: A Performance Portability Study of Lattice-Boltzmann Simulations
Orchestrating DAG Workflows on the Cloud-to-Edge Continuum
Conceptual Constraints for Data Quality in Data Lakes
Prediction of Wave Energy Spectrum Based on Ship Motions Using a Data-Driven Approach
Adversarial Attacks in Machine Learning Based Access Control
Next-Generation Fast Radio Burst Telescopes in the Exascale Era - Extended Abstract
The Journal Pattern for Streaming Data
DART: A Structured Dataset of Regulatory Drug Documents in Italian for Clinical NLP
DF-Threads: A Scalable and Efficient Execution Paradigm for Edge Computing and HPC
From Scratch to Large Pre-Trained Models: a Comparative Study for Medical Image Classification
Non-Euclidean Geometries for Prototype-Based Image Classification: a Reality Check
Performance Analysis on DNA Alignment Workload with Intel SGX Multithreading
Twin (Green and Digital) Patents Identification: an Automated Patent Landscaping Method
Reproducibility and Generalization of a Relation Extraction System for Gene-Disease Associations
Climate Data IT: towards a National Data Hub for Climate Science
Review Spam Detection using Multi-View Deep Learning Combining Content and Behavioral Features
A new framework for Integrated distributed data management, processing, and advanced analytics supporting Digital Twin systems: a Proof of Concept
The Hazard Mapping and vulnerability Monitoring (HaMMon) Post-Event Analysis Pipeline
A Survey of Dataspace Connector Implementations
Cardiac Magnetic Resonance Phase Detection Using Neural Networks
An Examination of Embedding Methods for Entity Comparison in Text-Rich Knowledge Graphs
A Transformer Architecture for Online Gesture Recognition of Mathematical Expressions
Assessing the Appetite for Trustworthiness and the Regulation of Artificial Intelligence in Europe
A Comparison of Machine Learning Techniques for Predicting Insemination Outcome in Irish Dairy Cows
Finding Niche Topics using Semi-Supervised Topic Modeling via Word Embeddings
NaïveRole: Author-Contribution Extraction and Parsing from Biomedical Manuscripts
Attentional Synchrony and the Affects of Repetitve Movie Viewing
Panta Rhei: Curiosity-Driven Exploration to Learn the Image-Schematic Affordances of Pouring Liquids
Less is More when Applying Transfer Learning to Multi-Spectral Data
Fair Machine Learning with Structured and Unstructured Features: A Case Study in Mortality Prediction
A Comparison of Agent-Based Models and Equation Based Models for Infectious Disease Epidemiology
Interpretable Machine Learning Models for Assisting Clinicians in the Analysis of Physiological Data
Deep Learning Human Activity Recognition
A comparative analysis of rule-based, model-agnostic methods for explainable artificial intelligence
An Evolutionary Neural Network Approach to Intrinsic Plagiarism Detection
Synthetic Dataset Generation for Online Topic Modeling
Phase and Coordination in Speech Production
Learning Dynamical Models Using System Motifs
Forecasting Gold Prices Using Temporal Convolutional Networks
GVR: A New Genetic Representation for the Vehicle Routing Problem
Heterogeneous Multi-Agent Deep Reinforcement Learning for Traffic Lights Control
Detecting Bot Behaviour in Social Media using Digital DNA Compression
Reinforcement Learning for Stock Option Trading
A Cognitive Investigation of a Material Led Art process
Using Magnetic Resonance Imaging to Distinguish a Healthy Brain from a Bipolar Brain: A Transfer Learning Approach
Simple Question Answering Over a Domain-Specific Knowledge Graph using BERT by Transfer Learning
Deep Reinforcement Learning for Advanced Persistent Threat Detection in Wireless Networks
Identity Term Sampling for Measuring Gender Bias in Training Data
Latent Space Cartography for Geometrically Enriched Latent Spaces
The Blogoduct System: A Just-In-Time Information Retrieval Assistant for Bloggers
Illusory Correlations: An Investigation in a Social Media Setting
Beyond DBpedia & YAGO - The New Kids on the Knowledge Graph Block
A Graph-Based Collective Linking Approach with Group Co-existence Strength
Explaining the Effects of Preprocessing on Constraint Satisfaction Search
Exploring Chronic Disease Trends among Adults in the USA: A Statistical Analysis with Visual Insights
Stigma and Empathy: An Organising Principle for the Continuum of Social Understanding
Recursion in Fixed Motor Sequences
Embedded Real-time Implementation of a Computational Efficient Optical Flow Extraction Method for Intelligent Robot Control Applications
Proceedings of The 32nd Irish Conference on Artificial Intelligence and Cognitive Science, Dublin, Republic of Ireland, December 9-10, 2024
A Framework for Generating Aviation Risk Information Mobile User Interfaces from Knowledge Graphs
Using Shallow Natural Language Processing in a Just-In-Time Information Retrieval Assistant for Bloggers
Time Series Clustering of Moodle Activity Data
Artificial Intelligence and Cognitive Science - 30th Irish Conference, AICS 2022, Munster, Ireland, December 8-9, 2022, Revised Selected Papers
The 29th Irish Conference on Artificial Intelligence and Cognitive Science 2021, Dublin, Republic of Ireland, December 9-10, 2021
A Comparative Analysis of Classification Techniques for Cervical Cancer Utilising At Risk Factors and Screening Test Results
Towards a More Systematic Analysis of Twitter Data: A Framework for the Analysis of Twitter Communities
A Comparison on the Classification of Short-text Documents Using Latent Dirichlet Allocation and Formal Concept Analysis
Tangentially Aligned Integrated Gradients for User-Friendly Explanations
Meta-knowledge Annotation for Efficient Natural-Language Question-Answering
Day Ahead Forecasting of FAANG Stocks using ARIMA, LSTM Networks and Wavelet Decomposition
Adaptation of Compositional Data Analysis in Deep Learning to Predict Pasture Biomass Proportions
Dimensionality Reduction and Visualisation Tools for Voting Records
Multi-stream Data Analytics for Enhanced Performance Prediction in Fantasy Football
Data Mining Support for Case-Based Collaborative Recommendation
Recommendation Uncertainty in Implicit Feedback Recommender Systems
Digital- Twin Enabled Dairy Farming for Greenhouse Gas Emission Tracking
Using WGAN for Improving Imbalanced Classification Performance
Unsupervised Learning Approach for Identifying Sub-genres in Music Scores
Modelling the COVID-19 Virus Evolution With Incremental Machine Learning
Detection of Covid-19 From an Imbalanced Chest X-ray Image Data Set