yusuke1997/dblp-id-title huggingface dataset:
Nanodevices Based on Quantum Mechanics and Classsical Electrodynamics as Vascular Endothelial Growth Blockers to Detain Angiogenesis
Symptoms Ontology for Mapping Diagnostic Knowledge Systems
Development of an ontology for a preoperative risk assessment clinical decision support system
Secure Database Outsourcing to the Cloud: Side-Channels, Counter-Measures and Trusted Execution
ProtCV: A Tool for Extracting, Visualizing and Validating Protein Clusters Using Mass Spectra Peak-Lists
Safety & hazard analysis for software controlled medical devices
Classifying the decision to perform surgery in MEN1 cancer patients using decision trees
Diagnosing Schizophrenia from Activity Records using Hidden Markov Model Parameters
A medical care application using the integrated services digital network
Development of Stereoscopic-Haptic Virtual Environments
Deep Learning based Diagnostic and Severity Assessment Framework for Lung Diseases using Chest Radiographs
Experimenting with artificial neural networks-artificial intelligence mini-tutorial. 3
Advanced Local Feature Selection in Medical Diagnostics
Bayesian networks to answer challenging neuroscience questions
Automated Detection of 3D Landmarks for the Elimination of Non-Biological Variation in Geometric Morphometric Analyses
SIPRAD: A Radiotherapy Planning System (RTPS)
Intensive-Help-a knowledge-based system for intensive care units
Analysis directional features in images using Gabor filters
Secure Transmission of Medical Records Using High Capacity Steganography
Seismocardiography: a technique for recording precordial acceleration
Automated Reading and Mining of Pre-Hospital Care Reports
Intelligent support for the neuroimaging
Image Restoration with High Resolution Adaptive Optical Imaging System
Diagnostic algorithms and clinical diagnostic thinking
Extracting 3-D structure and focused images using an optical microscope
Care pathway records and variance data: Enabling research through the use of ontologies
Dissecting Deep Neural Networks for Better Medical Image Classification and Classification Understanding
Wavelet Based Adaptive Vector Quantization for Encoding Large Color Images
Image Segmentation of Uterine Cervix Images for Indexing in PACS
A Customizable Framework to Access and Interconnect Clinical Patient Data and Molecular Biology Information
Building the domain-expert for a cardiovascular physiology tutor
Toward a Minimal sEMG Setup for Knee and Ankle Kinematic Estimation during Gait
CHART-ADAPT: Enabling actionable analytics at the critical care unit bedside
Towards Situation-Aware Mobile Applications in Mental Health
Optimization of Organizational Knowledge Transfer Model
How Do You Feel? Information Retrieval in Psychotherapy and Fair Ranking Assessment
Beyond Accuracy in Link Prediction
An Information-Theoretic Measure for Enabling Category Exemptions with an Application to Filter Bubbles
Enhancing Fairness in Classification Tasks with Multiple Variables: A Data- and Model-Agnostic Approach
Advances in Bias and Fairness in Information Retrieval - 5th International Workshop, BIAS 2024, Washington, DC, USA, July 18, 2024, Revised Selected Papers
Do Perceived Gender Biases in Retrieval Results Affect Relevance Judgements?
Political Bias of Large Language Models in Few-Shot News Summarization
Advances in Bias and Fairness in Information Retrieval - Third International Workshop, BIAS 2022, Stavanger, Norway, April 10, 2022, Revised Selected Papers
Effect of Debiasing on Information Retrieval
Preliminary Experiments to Examine the Stability of Bias-Aware Techniques
Advances in Bias and Fairness in Information Retrieval - Second International Workshop on Algorithmic Bias in Search and Recommendation, BIAS 2021, Lucca, Italy, April 1, 2021, Proceedings
Utilizing Implicit Feedback for User Mainstreaminess Evaluation and Bias Detection in Recommender Systems
What Are We Missing in Algorithmic Fairness? Discussing Open Challenges for Fairness Analysis in User Profiling with Graph Neural Networks
The Impact of Recommender System and Users' Behaviour on Choices' Distribution and Quality
The Unfairness of Active Users and Popularity Bias in Point-of-Interest Recommendation
Preserving Utility in Fair Top-k Ranking with Intersectional Bias
What Kind of Content Are You Prone to Tweet? Multi-topic Preference Model for Tweeters
Analysis of Biases in Calibrated Recommendations
Measuring Bias in Multimodal Models: Multimodal Composite Association Score
Addressing Biases in the Texts Using an End-to-End Pipeline Approach
Improving News Personalization Through Search Logs
Advances in Bias and Fairness in Information Retrieval - 4th International Workshop, BIAS 2023, Dublin, Ireland, April 2, 2023, Revised Selected Papers
Users' Perception of Search-Engine Biases and Satisfaction
New Performance Metrics for Offline Content-Based TV Recommender System
Crucial Challenges in Large-Scale Black Box Analyses
Do You MIND? Reflections on the MIND Dataset for Research on Diversity in News Recommendations
Detecting Race and Gender Bias in Visual Representation of AI on Web Search Engines
Bootless Application of Greedy Re-ranking Algorithms in Fair Neural Team Formation
Towards an Approach for Analyzing Dynamic Aspects of Bias and Beyond-Accuracy Measures
Understanding Search Behavior Bias in Wikipedia
Keyword Recommendation for Fair Search
FARGO: A Fair, Context-AwaRe, Group RecOmmender System
Popularity Bias in Collaborative Filtering-Based Multimedia Recommender Systems
Bias and Social Aspects in Search and Recommendation - First International Workshop, BIAS 2020, Lisbon, Portugal, April 14, 2020, Proceedings
Bias Reduction in Social Networks Through Agent-Based Simulations
Venue Suggestion Using Social-Centric Scores
Retention Induced Biases in a Recommendation System with Heterogeneous Users
A Crowdsourcing Methodology to Measure Algorithmic Bias in Black-Box Systems: A Case Study with COVID-Related Searches
Matchmaking Under Fairness Constraints: A Speed Dating Case Study
Enriching Product Catalogs with User Opinions
Equality of Opportunity in Ranking: A Fair-Distributive Model
Mitigating Gender Bias in Machine Learning Data Sets
Media Bias Everywhere? A Vision for Dealing with the Manipulation of Public Opinion
Towards Fairness-Aware Ranking by Defining Latent Groups Using Inferred Features
Evaluating Fairness Metrics
Fairness Analysis of Machine Learning-Based Code Reviewer Recommendation
Simultaneous Unlearning of Multiple Protected User Attributes From Variational Autoencoder Recommenders Using Adversarial Training
Examining Video Recommendation Bias on YouTube
Facets of Fairness in Search and Recommendation
Mitigating Popularity Bias in Recommendation: Potential and Limits of Calibration Approaches
[inline-graphic not available: see fulltext]: Exploring the Bias of Web Domains Through the Eyes of Users
An Offer You Cannot Refuse? Trends in the Coercive Impact of Amazon Book Recommendations
The Impact of Foursquare Checkins on Users' Emotions on Twitter
Why Do We Need to Be Bots? What Prevents Society from Detecting Biases in Recommendation Systems
Recommendation Filtering à la carte for Intelligent Tutoring Systems
A Novel Similarity Measure for Group Recommender Systems with Optimal Time Complexity
Perception-Aware Bias Detection for Query Suggestions
Improving Recommender System Diversity with Variational Autoencoders
A Study on Accuracy, Miscalibration, and Popularity Bias in Recommendations
Analyzing the Interaction of Users with News Articles to Create Personalization Services
When Is a Recommendation Model Wrong? A Model-Agnostic Tree-Based Approach to Detecting Biases in Recommendations
Sequential Nature of Recommender Systems Disrupts the Evaluation Process
Mitigating Position Bias in Hotels Recommender Systems
Data Pipelines for Personalized Exploration of Rated Datasets
Detecting and Measuring Social Bias of Arabic Generative Models in the Context of Search and Recommendation
vivaFemme: Mitigating Gender Bias in Neural Team Recommendation via Female-Advocate Loss Regularization
Incentives for Item Duplication Under Fair Ranking Policies
The Unfairness of Popularity Bias in Book Recommendation
Quantification of the Impact of Popularity Bias in Multi-stakeholder and Time-Aware Environments
Using String-Comparison Measures to Improve and Evaluate Collaborative Filtering Recommender Systems
A Symbolic Regression Screening Approach Within Peptide Optimisation
Emergent Kin Selection of Altruistic Feeding via Non-episodic Neuroevolution
Measuring Similarities in Model Structure of Metaheuristic Rule Set Learners
Evolutionary Multi-objective Optimization of Large Language Model Prompts for Balancing Sentiments
A PSO-Based MPPT with Dynamic Monitoring Reset for PV Systems
Scalable Evolution of Logically Independent Polycomputational Materials
An AI-Based Support System for Microgrids Energy Management
Hybrid Optimization of Horizontal Alignments in European Terrains: A Comparative Study
Designing Hardware-Friendly Hash Functions for Network Security Using Cartesian Genetic Programming
Methodology for Designing Injection Molds: Data Mining and Multi-objective Optimization
Optimizing the Logistics Operations of Distribution Network Operators from a Multinational Electric Utility Company
Hybrid Surrogate Assisted Evolutionary Multiobjective Reinforcement Learning for Continuous Robot Control
Multi-tree Genetic Programming for Dynamic Tugboat Scheduling
Feature Selection on Epistatic Problems Using Genetic Algorithms with Nested Classifiers
Optimizing Camera Placement for Chicken Farm Monitoring
Robust Search for the Underlying Objectives in Black-Box Games with Binary Outcomes
Frequency Fitness Assignment on JSSP: A Critical Review
Progressive Self-supervised Multi-objective NAS for Image Classification
Social Interpretable Reinforcement Learning
Genetic Programming with Co-operative Co-evolution for Feature Manipulation in Basal Cell Carcinoma Identification
Genetic Programming and Coevolution to Play the Bomberman™ Video Game
An Evolutionary Deep Learning Approach for Efficient Quantum Algorithms Transpilation
Hindsight Experience Replay with Evolutionary Decision Trees for Curriculum Goal Generation
An Innovative Approach for Managing the Water Requirements of Fig Trees Using Artificial Intelligence
Measuring Energy Consumption of BBOB Fitness Functions
Applications of Evolutionary Computation - 28th European Conference, EvoApplications 2025, Held as Part of EvoStar 2025, Trieste, Italy, April 23-25, 2025, Proceedings, Part II
Algorithm Selection with Probing Trajectories: Benchmarking the Choice of Classifier Model
Analysis of Illicit Drug Mixtures at Festivals Using Portable Near-Infrared Spectroscopy with Genetic Programming
A Fitness Landscape Analysis Approach for Reinforcement Learning in the Control of the Coupled Inverted Pendulum Task
Analyzing the Effects of Memetic Variations on Convergence in Overlapping Swarm Intelligence
An Evolutionary Approach for Scheduling a Fleet of Shared Electric Vehicles
A Collection of Robotics Problems for Benchmarking Evolutionary Computation Methods
Multi-purpose Image Filter Evolution Using Cellular Automata and Function-Based Conditional Rules
A Multispectral Image Classification Framework for Estimating the Operational Risk of Lethal Wilt in Oil Palm Crops
Greater AI Design Control Aids Evolution of Computational Materials
Proposal of Efficient Particle Swarm Optimization for Constrained Optimization Problems
Estimation of Total Body Fat Using Symbolic Regression and Evolutionary Algorithms
Predicting Algorithm Performance in Constrained Multiobjective Optimization: A Tough Nut to Crack
Evolving Dynamic Fault Mitigation Strategies in a Robot Swarm for Collective Transport
Climbing the Tower of Meta-mutations - The Role of Higher-Order Mutations
DeepEMO: A Multi-indicator Convolutional Neural Network-Based Evolutionary Multi-objective Algorithm
Into the Black Box: Mining Variable Importance with XAI
On the Latent Structure of the bbob-biobj Test Suite
The Importance of Being Earnest: Multiple Heterogeneous Container Loading with a Simple Genetic Algorithm
A Surrogate Function in Cellular GA for the Traffic Light Scheduling Problem
FedGP: Genetic Programming for Evolutionary Aggregation in Federated Learning with Non-IID Data
Evolutionary Feature-Binning with Adaptive Burden Thresholding for Biomedical Risk Stratification
Epoch-Based Application of Problem-Aware Operators in a Multiobjective Memetic Algorithm for Portfolio Optimization
Multi-objective Evolutionary Optimization of Virtualized Fast Feedforward Networks
Automatic Design of Telecom Networks with Genetic Algorithms
Optimizing Dietary Plans Using Evolutionary Algorithms
Further Investigations on the Characteristics of Neural Network Based Opinion Selection Mechanisms for Robotics Swarms
Facial Geometric Feature Extraction for Dimensional Emotion Analysis Using Genetic Programming
Applications of Evolutionary Computation - 28th European Conference, EvoApplications 2025, Held as Part of EvoStar 2025, Trieste, Italy, April 23-25, 2025, Proceedings, Part I
Robust Neural Architecture Search Using Differential Evolution for Medical Images
A Genetic Algorithm Approach for Aggregation of Residential Electricity Prosumers' Flexibility
Adjacent Distance Matrix-Based Competitive Swarm Optimizer
Applications of Evolutionary Computation - 26th European Conference, EvoApplications 2023, Held as Part of EvoStar 2023, Brno, Czech Republic, April 12-14, 2023, Proceedings
Extending Boundary Updating Approach for Constrained Multi-objective Optimization Problems
Surrogate-Assisted (1+1)-CMA-ES with Switching Mechanism of Utility Functions
Predicting Normal and Anomalous Urban Traffic with Vectorial Genetic Programming and Transfer Learning
Local Optima Networks for Assisted Seismic History Matching Problems
Using Genetic Programming to Learn Behavioral Models of Lithium Batteries
Explaining Recommender Systems by Evolutionary Interests Mix Modeling
Reducing the Price of Stable Cable Stayed Bridges with CMA-ES
Strategies for Evolving Diverse and Effective Behaviours in Pursuit Domains
Using Evolution and Deep Learning to Generate Diverse Intelligent Agents
Leveraging More of Biology in Evolutionary Reinforcement Learning
Energy-Aware Dynamic Resource Allocation in Container-Based Clouds via Cooperative Coevolution Genetic Programming
Fair Ambulance Allocation via Multi-Objective Evolutionary Optimization
Probing LLMs on Optimization Problems: Can They Recall and Interpret Problem Features?
A Survey of Modern Hybrid Particle Swarm Optimization Algorithms
Evaluating the Impact of Hysteretic Phenomena and Implementation Choices on Energy Consumption in Evolutionary Algorithms
Open and Closed Source Models for LLM-Generated Metaheuristics Solving Engineering Optimization Problem
Stalling in Space: Attractor Analysis for Any Algorithm
Beyond the Hype: Benchmarking LLM-Evolved Heuristics for Bin Packing
Evolutionary Bias Identification with Embeddings
Improving the Size and Quality of MAP-Elites Containers via Multiple Emitters and Decoders for Urban Logistics
An Investigation of Structural Bias in Particle Swarm Optimization
Controlling the Mutation in Large Language Models for the Efficient Evolution of Algorithms
Deep Reinforcement Learning for 5 ˟ 5 Multiplayer Go
Building Cross-Sectional Trading Strategies via Geometric Semantic Genetic Programming
To Switch or Not to Switch: Predicting the Benefit of Switching Between Algorithms Based on Trajectory Features
Injecting Combinatorial Optimization into MCTS: Application to the Board Game Boop
Integrating Bayesian and Evolutionary Approaches for Multi-objective Optimisation
Variable-Size Genetic Network Programming for Portfolio Optimization with Trading Rules
GPBus: Genetic Programming Based Automated Machine Learning for Bus Delay Prediction
A Quality-Diversity Approach to Evolving a Repertoire of Diverse Behaviour-Trees in Robot Swarms
A Multi-brain Approach for Multiple Tasks in Evolvable Robots
Multi-agent vs Classic System of an Electricity Mix Production Optimization
A Multi-Agent System for Optimal Train Scheduling in Single-Track Railways
A Comparative Analysis of Evolutionary Adversarial One-Pixel Attacks
Trace-Elites: Better Quality-Diversity with Multi-point Descriptors
Evolutionary Reinforcement Learning for Interpretable Decision-Making in Supply Chain Management
Evolutionary Based Transfer Learning Approach to Improving Classification of Metamorphic Malware
Evolutionary Computation for Causality-Driven Feature Selection: A Preliminary Study
Hilbert Curves for Efficient Exploratory Landscape Analysis Neighbourhood Sampling
Generate More than One Child in Your Co-evolutionary Semi-supervised Learning GAN
Using Knowledge Graphs for Performance Prediction of Modular Optimization Algorithms
Grammatical Feature Construction for Enhanced Interpretability in Breast Cancer Classification
BBOB Instance Analysis: Landscape Properties and Algorithm Performance Across Problem Instances
A Robust Statistical Framework for the Analysis of the Performances of Stochastic Optimization Algorithms Using the Principles of Severity
RF+clust for Leave-One-Problem-Out Performance Prediction
We Are Sending You Back... to the Optimum! Fuzzy Time Travel Particle Swarm Optimization
A New Prediction-Based Algorithm for Dynamic Multi-objective Optimization Problems
Incremental Growth on Compositional Pattern Producing Networks Based Optimization of Biohybrid Actuators
Genetic Programming with Aggregate Channel Features for Flower Localization Using Limited Training Data
Hybridization of Techniques Based on Genetic Algorithms and Neural Networks to Determine the Water Requirements of Fig Trees
A Genetic Algorithm-Based Parameter Selection for Communication-Efficient Federated Learning
Use of a Genetic Algorithm to Evolve the Parameters of an Iterated Function System in Order to Create Adapted Phenotypic Structures
Under the Hood of Transfer Learning for Deep Neuroevolution
Inferring Reaction Elasticities from Metabolic Correlations in Cells Through Multi-objective Evolutionary Optimization
Grammar-Guided Evolution of the U-Net
Centroid-Based Differential Evolution with Composite Trial Vector Generation Strategies for Neural Network Training
Real Application Challenges in Evolutionary Optimization? People!
On the Evolution of Boomerang Uniformity in Cryptographic S-boxes
The More the Merrier: On Evolving Five-Valued Spectra Boolean Functions
Multi-objective Location-Aware Service Brokering in Multi-cloud - A GPHH Approach with Transfer Learning
EDCA - An Evolutionary Data-Centric AutoML Framework for Efficient Pipelines
Interactive Stage-Wise Optimisation of Personalised Medicine Supply Chains
Using Local Correlation Between Objectives to Detect Problem Modality
A Hierarchical Dissimilarity Metric for Automated Machine Learning Pipelines, and Visualizing Search Behaviour
Cultivating Diversity: A Comparison of Diversity Objectives in Neuroevolution
Evolving Non-cryptographic Hash Functions Using Genetic Programming for High-speed Lookups in Network Security Applications
The Specialized Threat Evaluation and Weapon Target Assignment Problem: Genetic Algorithm Optimization and ILP Model Solution
Multi-objective Evolutionary Discretization of Gene Expression Profiles: Application to COVID-19 Severity Prediction
An Evolutionary Hyper-Heuristic for Airport Slot Allocation
An Intelligent Optimised Estimation of the Hydraulic Jump Roller Length
Evolving Neural Networks for Robotic Arm Control
Towards Physical Plausibility in Neuroevolution Systems
Understanding Trade-Offs in Classifier Bias with Quality-Diversity Optimization: An Application to Talent Management
Towards Constructing a Suite of Multi-objective Optimization Problems with Diverse Landscapes
Adaptive Local Search for Real-World Multi-echelon Inventory Control
A Communication-Aware and Energy-Efficient Genetic Programming Based Method for Dynamic Resource Allocation in Clouds
Addressing Radiotherapy Scheduling with a Bin Packing Problem Formulation: A Comparative Study of Exact Solvers and Genetic Algorithms
A Memetic Genetic Algorithm for Optimal IoT Workflow Scheduling
Search Trajectory Networks Applied to a Real-World Parallel Batch Scheduling Problem
Evolving Lightweight Intrusion Detection Systems for RPL-Based Internet of Things
A Fitness-Based Migration Policy for Biased Random-Key Genetic Algorithms
Nullifying the Inherent Bias of Non-invariant Exploratory Landscape Analysis Features
Geometric Particle Swarm Optimization in Program Trace Optimization
Evolving RNNs for Stock Forecasting: A Low Parameter Efficient Alternative to Transformers
A Coach-Based Quality-Diversity Approach for Multi-agent Interpretable Reinforcement Learning
AMTEA-Based Multi-task Optimisation for Multi-objective Feature Selection in Classification
YOLO Based Bridge Surface Defect Detection Using Decoupled Prediction
Navigation of Ground Robots with Reinforcement Learning
Deep Reinforcement Learning for Mobile Robot Navigation
A Helmet Detection Model Based on Attention Mechanism
Application Research of Belt Conveyor Monitoring Based on Laser Technology
End Positioning Method of TBM Cutter-changing Robot Based on Binocular Vision
An Improved Face Detection Method Based on Face Recognition Application
Development of a Lightweight Octocopter Drone for Monitoring Complex Indoor Environment
Sim-to-Real Transfer with Action Mapping and State Prediction for Robot Motion Control
DSMPC-DCBF: A Hierarchical Parking Trajectory Optimization Method Based on MPC
YOLO-SDD: A Scattered Defect Detection Model for Metal Plate Surface Based on Improved YOLO
Structural Design of a TBM Foldable Disc Cutter Changing Robot
Modeling and Simulation Analysis of a Six Wheel Multimodal Mobile Robot
Research on Robot Accuracy Compensation Method Based on Modified Grey Wolf Algorithm
Abstractive Summarization Model with a Feature-Enhanced Seq2Seq Structure
Research on Occupancy Grid Map Creation Method Based on RPBF-SLAM
Estimation of Vehicle Sideslip Angle based on Modified Sliding Mode Observer and Recurrent Neural Network
Path Tracking Control Algorithm Considering Delay Compensation
Hydrodynamics Simulation of a Dual Fin Propelled Biomimetic Amphibious Robot
9th Asia-Pacific Conference on Intelligent Robot Systems, ACIRS 2024, Dalian, China, July 18-20, 2024
Decision Behavioral Approach for Self Organizing Multi Agent Robots Based on Deep Neural Network
7th Asia-Pacific Conference on Intelligent Robot Systems, ACIRS 2022, Tianjin, China, July 1-3, 2022
Research on Improving Intelligent Inspection Efficiency of Substation Based on Big Data Analysis
6th Asia-Pacific Conference on Intelligent Robot Systems, ACIRS 2021, Tokyo, Japan, July 16-18, 2021
Modelling and Motion Control of an Underactuated Autonomous Underwater Vehicle
Simulated Data Generation through Algorithmic Force Coefficient Estimation for AI-Based Robotic Projectile Launch Modeling
Design of Small-Scale AUV with Novel Propulsion System
Instrument Recognition in Transformer Substation Base on Image Recognition Algorithm
CNN Based Adaptive Kalman Filter in High-Dynamic Condition for Low-Cost Navigation System on Highspeed UAV
Size Measurement of Thin-walled Parts Based on Point Cloud Classification Simplification Strategy
Automatic Path Planning of Robot for Intelligent Manufacturing Based on Network Remoted Controlling and Simulation
An Adaptive Row Crops Path Generator with Deep Learning Synergy
Adaptive Multi-Strategy Observation of Kernelized Correlation Filter for Visual Object Tracking
The Application and Inspiration of Robots in the US Military
UUV Path Planning Based on Improved Dung Beetle Optimization Algorithm
Research on Structure Design and Intelligent Control of Pipeline Desilting Robot
UUV Target Tracking Path Planning Algorithm Based on Deep Reinforcement Learning
Study on Automatic PID Gain Adjustment for a Four-rotor Flying Robot using Neural Network
Memory-based Stochastic Trajectory Optimization for Manipulator Obstacle Avoiding Motion Planning
Accuracy Analysis of Hybrid Mechanism for Aero-Engine Installation
Deep Learning Powered Estimate of The Extrinsic Parameters on Unmanned Surface Vehicles
Desigh Method and Research on Hydraulic Propulsion System for Large Underwater Negative Buoyancy Robots