yusuke1997/dblp-id-title huggingface dataset:
Structure and evidence in identity cases
Cost efficient prediction of Cabernet Sauvignon wine quality
Runtime Analysis of (1+1)-EA on a Biobjective Test Function in Unbounded Integer Search Space
Adapting Procedural Content Generation to Player Personas Through Evolution
Designing Heuristic-Based Tuners for PID Controllers in Automatic Voltage Regulator Systems Using an Automated Hyper-Heuristic Approach
Parallelization of Multi-label classification for large data sets
Toci: Computational Intelligence in an Energy Management System
Hierarchical Mahalanobis Distance Clustering Based Technique for Prognostics in Applications Generating Big Data
A co-evolutionary approach to interpretable reinforcement learning in environments with continuous action spaces
A Network Analysis of the Cryptocurrency Market
Evolving Neural Networks for Prediction with Negative Correlation Search: Application in Consumer Demand Forecasting
A service provider model for demand response management
Using market-based optimisation to solve the dynamic vehicle routing problem
A Virtual Spine Construction Algorithm for a Patient - Specific Pedicle Screw Surgical Simulators
A Feasibility Study of Open-Source Sentiment Analysis and Text Classification Systems on Disaster-Specific Social Media Data
Optimal Consensus Control for Second-Order Discrete-Time Multi-Agent Systems: Using Online Policy Iteration Algorithm
Industry-Led Blockchain Projects for Smart Grids: An In-Depth Inspection
Robust tracking and behavioral modeling of movements of biological collectives from ordinary video recordings
Co-saliency Detection via Extremely Weakly Supervised Convolutional Neural Network
Interval forecasting with Fuzzy Time Series
Synchronization of External Inertial Sensors and Built-in Camera on Mobile Devices
FinSenticNet: A Concept-Level Lexicon for Financial Sentiment Analysis
Are small swarms effective in PSO optimization tasks?
From Actions to Events: A Transfer Learning Approach Using Improved Deep Belief Networks
2-Dimensional rectangles-in-circles packing and stock cutting with particle swarm optimization
The Power of AI in IoT : Cognitive IoT-based Scheme for Web Spam Detection
Development of Optimal PI Controllers for a Grid-Tied Photovoltaic Inverter
Impressionist Hole Detection and Healing Using Swarms of Agents with Quantized Perception
Comparisons of different kernels in Kriging-assisted evolutionary expensive optimization
Plane extraction using Point Cloud data for service robot
Evaluating Robustness of Counterfactual Explanations
A Constructive Heuristic Approach for Single Airport Slot Allocation Problems
A Knowledge Acquisition Framework for Autonomous Decision Making in Service Robots
Co-operative Vector-Evaluated Particle Swarm Optimization for Multi-objective Optimization
Data-Driven Fuzzy Demand Forecasting Models for Resilient Supply Chains
Structured Prediction Networks through Latent Cost Learning
Singlish SenticNet: A Concept-Based Sentiment Resource for Singapore English
A Blockchain based approach for multimedia privacy protection and provenance
An inverse reinforcement learning algorithm for semi-Markov decision processes
Metapopulation Differential Co-Evolution of Trading Strategies in a Model Financial Market
A Computational Analysis of Protein Sequences for Cyclophilin Superfamily using Feature Extraction
Adaptive Geodesic Flow Kernel Transfer for Many-Task Optimization
Online Data-Driven Inverse Reinforcement Learning for Deterministic Systems
A Performance Indicator for Reference-Point-Based Multiobjective Evolutionary Optimization
Improving forecast accuracy for grid demand and renewables supply with pattern-match features
Balanced Image Data Based Ensemble of Convolutional Neural Networks
The Marked-line Recognition Based on Network Topology Diagram Points Clustering
Hypervolume-Based Evolutionary Many-Disciplinary Design Optimization of Blended-Wing-Body-Type Flyback Booster
A multiobjective genetic algorithm based hybrid recommendation approach
On the effect of localized PBI method in MOEA/D for multi-objective optimization
Covariance in Ordered Weighted Logarithm Aggregation Operators
Investigation of Linear Genetic Programming for Dynamic Job Shop Scheduling
Prediction of Grain Humidity Based on Improved Grey Markov Model
General Regression Neural Networks for the Concurrent, Timely and Reliable Identification of Detector Malfunctions and/or Nuclear Reactor Deviations from Steady-State Operation
SIMARD: A simulated annealing based RNA design algorithm with quality pre-selection strategies
Static Video Summarization Using Artificial Bee Colony optimization
Fingerprint classification using convolutional neural networks and ridge orientation images
HIGhER: Improving instruction following with Hindsight Generation for Experience Replay
Instability of Multilayer Networks Induced by Inter-Layer Coupling
Enhancing discrete differential evolution by conducting election
Identification of program signatures from cloud computing system telemetry data
Effects of Several Bioinspired Methods on the Stability of Coevolutionary Complexification
Using matching substructures as an optimization objective for RNA design
Mobile Robot Self-LocalizationUsing Visual Odometry Based on Ceiling Vision
Vector evaluated particle swarm optimization archive management: Pareto optimal front diversity sensitivity analysis
Genetic optimization of fuzzy membership functions for cloud resource provisioning
An introduction to buildings cybersecurity framework
Employing sentiment-based affinity and gravity scores to identify relations of medical concepts
Parallalizable deep self-organizing maps for image classification
Mental Workload Classification Using Short Duration EEG Data: an Ensemble Approach Based on Individual Channels
Crew Constrained Home Care Routing Problem with Time Windows
Per-Instance Configuration of the Modularized CMA-ES by Means of Classifier Chains and Exploratory Landscape Analysis
Efficient exploration by switching agents according to degree of convergence of learning on Heterogeneous Multi-Agent Reinforcement Learning in Single Robot
Voice Feature Learning using Convolutional Neural Networks Designed to Avoid Replay Attacks
Deep learning driven multimodal fusion for automated deception detection
Investigating The Scalability of Kernel Minimum Enclosing Balls for Novelty Detection: Algorithms with Empirical Evaluations
An SSVEP Stimuli Design using Real-time Camera View with Object Recognition
A Rule and Graph-Based Approach for Targeted Identity Resolution on Policing Data
Fuzzy cell genetic algorithm approach for flexible flow-line scheduling model
The understanding of the quantifiers 'many' and 'most'
Forecasting directional changes in the FX markets
Towards biologically plausible learning in neural networks
Multimodal Multi-Objective Football Game Algorithm for Optimizing Test Task Scheduling Problems
XF-OPT/META: A Hyperparameter Optimization Framework Applied to the H -SPPBO Metaheuristic for the Dynamic TSP
Unpaired multi-view kernel spectral clustering
Hierarchical Cooperative Swarm Policy Learning with Role Emergence
Features and Classes Drift Detector to Deal with Imbalanced Data Streams
Induced generalized ordered weighted logarithmic aggregation operators
Shared Intelligence for smart grids management
Evaluating Machine Learning Classifiers for Data Sharing in Internet of Battlefield Things
More Machine Learning for Less: Comparing Data Generation Strategies in Mechanical Engineering and Manufacturing
Maritime Incident Information Extraction using Machine and Deep Learning Techniques
Evolving Robotic Neuro-Controllers Using Gene Expression Programming
Irregular breathing detection in CPAP assisted patients using hierarchical temporal memory
Fuzzy Set-Based Detection of Hypotension Episodes for Predicting Leaks in Sleeve Gastrectomy
Context based pedestrian intention prediction using factored latent dynamic conditional random fields
Local modes-based free-shape data partitioning
Learning Deep Representations via Contrastive Learning for Instance Retrieval
Model Selection - Knowledge Distillation Framework for Model Compression
Simultaneous Causal Noise Removal for Causal Rule Discovery and Learning
Detection of driver maneuvers using evolving fuzzy cloud-based system
Optimal Control using Evolutionary Algorithms through Neural network based TRANSFORMation
A regulatory algorithm (RGA) for optimizing examination timetabling
Explainability and Fairness in Machine Learning: Improve Fair End-to-end Lending for Kiva
Characterization of Entomological Micro Traces Images with Deep Neural Networks
Towards generic communication interfaces of existing applications
Modeling of Organic Rankine Cycle for waste heat recovery using RBF neural networks
Pose Based Trajectory Forecast of Vulnerable Road Users
Heart Sound Analysis Based on Extended Features and Related Factors
Lysosomes Computational Labeling Method Based on Feature Map Slice of Deeplabv3+
Optimization of air flowrate under different control strategies focus on biological process in wastewater treatment plant
Decoding the Confidence Level of Subjects in Answering Multiple Choice Questions Using EEG Induced Capsule Network
Proposal of Self-generation of Reward for danger avoidance by disregarding specific situations
A Multi-recurrent Network for Crude Oil Price Prediction
Explosive hazard detection with feature and decision level fusion, multiple kernel learning, and fuzzy integrals
Evolving neuro-fuzzy system based online identification of a bio-inspired flapping wing micro aerial vehicle
Influence of Pointing on Learning to Count: A Neuro-Robotics Model
On Reducing Adversarial Vulnerability with Data Dependent Stochastic Resonance
An unsupervised K-means based clustering method for geophysical post-earthquake diagnosis
Explainable Artificial Intelligence for Improving a Session-Based Malware Traffic Classification with Deep Learning
Optimal Power Flow in Distribution Scheme Using Load Forecast
UGV Path Planning based on an Improved Continuous Ant Colony Optimisation Algorithm
Towards Frame-Level Person Identification Using Kinect Skeleton Data with Deep Learning
Near optimal control for microgrid energy systems considering battery lifetime characteristics
Heart-disease diagnosis decision support employing fuzzy systems with genetically optimized accuracy-interpretability trade-off
Periodic Extrapolative Generalisation in Neural Networks
A Multi-Objective Hyper-Heuristic for Unmanned Aerial Vehicle Data Collection in Wireless Sensor Networks
Negative Selection Approach to support Formal Verification and Validation of BlackBox Models' Input Constraints
pyDVS: An extensible, real-time Dynamic Vision Sensor emulator using off-the-shelf hardware
Description and First Evaluation of an Approach for a Pilot Decision Support System Based on Multi-attribute Decision Making
Forecasting Ambulance Demand using Machine Learning: A Case Study from Oslo, Norway
A Novel Population Optimizer for Unit Scheduling Problems in Power Systems
Cooperative Geometric Scheme for Passive Localization of Target in an Indoor Environment
Staining of Histopathology Slides Using Image Style Transfer Algorithm
Modeling the Population Growth of the Co-cultured Blood Cells Exposed by Microbubble-mediated Ultrasound
Efficient Bone Detector and Geometric Descriptor for X-Ray Imaging
Study on Improving Efficiency of Multi-Objective Evolutionary Algorithm with Large Population by M2M Decomposition and Elitist Mate Selection Scheme
Measuring Overfitting in Convolutional Neural Networks using Adversarial Perturbations and Label Noise
Deep hierarchical reinforcement learning in a markov game applied to fishery management decision making
Using a knowledge-based security orchestration tool to reduce the risk of browser compromise
Scalable Hierarchical Clustering: Twister Tries with a Posteriori Trie Elimination
STF-RNN: Space Time Features-based Recurrent Neural Network for predicting people next location
Artificial bee colony-inspired run-time task management for many-core systems
Multi-objective evolution of machine learning workflows
An Adaptive Recombination-Based Extension of the iMOACOR Algorithm
Homomorphic encryption application on FinancialCloud framework
Pheromone modification strategy for the dynamic travelling salesman problem with weight changes
A study on the effectiveness of constraint handling schemes within Efficient Global Optimization framework
Automated scalable modeling for population microsimulations
Research on Load Recognition Algorithms Based on Current Distortion and Harmonic Content
Training Data Leakage via Imperceptible Backdoor Attack
Evolution of Diverse, Manufacturable Robot Body Plans
On ensemble components selection in data streams scenario with reoccurring concept-drift
Experiments with Dissimilarity Measures for Clustering Waveform Data from Wearable Sensors
Optimized automatic generation control in a multi-area power system with particle swarm optimization
Watchlist risk assessment using multiparametric cost and relative entropy
AutoLL: Automatic Linear Layout of Graphs based on Deep Neural Network
A Gradient-Guided ACO Algorithm for Neural Network Learning
Improving security requirements adequacy
The effectiveness of surrogate functions in improving the accuracy of PSO-type algorithms in an NLP task
Utilizing gait traits to improve e-border watchlist performance
Self-adaptive Decomposition and Incremental Hyperparameter Tuning Across Multiple Problems
A Family of Turn Based Strategy Games with Moose
Adaptive Speech Recognition System Using Data From Keyboard
R2 Indicator and Objective Space Partition Based Evolutionary Algorithm for Many-objective Optimization
Multi-Sensor Object Detection System for Real-Time Inferencing in ADAS
Privacy-Preserving Average Consensus for Multi-Agent Network
Lifelike Neuromorphic Learning Networks (LNLN)
Reusable Toolkit for Natural Language Processing in an Ambient Intelligence Environment
An Empirical Study on Unsupervised Pre-training Approaches in Regression Problems
An Event-Driven Object Recognition Model Using Activated Connected Domain Detection
Neuromorphic Event Alarm Time-Series Suppression
One-Class Classification for Intrusion Detection on Vehicular Networks
Fuzzy Clustering Edge Detection Method via neutrosophy based on Norm Entropy
The effects of adjusting task difficulty on learning motor and cognitive aspects of a multitasking task
Interaction-Aware Sensitivity Analysis for Aerodynamic Optimization Results using Information Theory
Real-Time Simultaneous Localization and Mapping for Low-Power Wide-Area Communication
Advancing Smart Cities Through Novel Social Media Text Analysis: A Case Study of Calgary
LSTM networks for data-aware remaining time prediction of business process instances
Mining data on traumatic brain injury with reconstructability analysis
Comparative Analysis of Five Local Search Operators on Visiting Constrained Multiple Traveling Salesmen Problem
Conditioning Latent-Space Clusters for Real-World Anomaly Classification
A dynamic truck dispatching problem in marine container terminal
Finite Memory Estimation-Based Recurrent Neural Network Learning Algorithm for Accurate Identification of Unknown Nonlinear Systems
A Tuning Free Approach to Multi-guide Particle Swarm Optimization
A Dec-POMDP Model for Congestion Avoidance and Fair Allocation of Network Bandwidth in Rate-Adaptive Video Streaming
Gesture Recognition Intermediary Robot for Abnormality Detection in Human Activities
An Agent-Based Framework for Indoor Navigation in Blended Shopping
Adaptive Differential Evolution Applied to Point Matching 2D GIS Data
Identification of unknown nonlinear systems based on multilayer neural networks and Lyapunov theory
Algorithm Selection across Algorithm Configurators A Case Study on Multi-objective Optimization
Rodent Tracking and Abnormal Behavior Classification in Live Video using Deep Neural Networks
Vigilant Dynamic Honeypot Assisted by Dynamic Fuzzy Rule Interpolation
Intelligent energy forecasting based on the correlation between solar radiation and consumption patterns
Facilitating Investment Strategy Negotiations Through Logic
Machine Learning for Predicting Development of Asthma in Children
Automated Creation of a High-Performing Algorithmic Trader via Deep Learning on Level-2 Limit Order Book Data
A Novel Ontology and Machine Learning Inspired Hybrid Cardiovascular Decision Support Framework
Modelling Human Movements With Turing Learning
Detection of Real Concept Drift Under Noisy Data Stream
Visualization and Analysis Tools for Explainable Choquet Integral Regression
Quantifying correlation between Financial News and stocks
Hybrid Evolutionary Approach to Multi-objective Path Planning for UAVs
Data Stream Clustering Algorithm for Smart Site and Its Implementation Based on Flink
Kernel Target Alignment based Fuzzy Least Square Twin Bounded Support Vector Machine
Why Simple Population Restart Does Not Work in PSO
Adversarial Audio Attacks that Evade Temporal Dependency
Non-generational Geometric Semantic Genetic Programming
A fully recursive perceptron network architecture
Cyclist Motion State Forecasting - Going beyond Detection
Leaf Characteristic Patterns Clustering Based on Self-Organizing Map
Sliding Mode Observer Based Fuzzy Control for TS Systems
Energy consumption forecasting based on Hybrid Neural Fuzzy Inference System
Benchmarking Many-Objective Topology and Weight Evolution of Neural Networks: A Study with NEWS/D
Using the Simulation of Ecological Systems to Explain the Wheel of Retailing
Improving Metaheuristic Algorithm Design Through Inequality and Diversity Analysis: A Novel Multi-Population Differential Evolution
Robustness Analysis of Data-Driven Self-Learning Controllers for IoT Environmental Monitoring Nodes based on Q-learning Approaches
Using Machine Learning to Detect Rotational Symmetries from Reflectional Symmetries in 2D Images
Finding Influential Variables in Multi-Objective optimization Problems
Spaceplane trajectory optimisation with evolutionary-based initialisation
A Plane Extraction Method for Embedded Computers in Mobile Robots
A Novel Neural Network Based Method for Analysis of Pavement Deflection Data
Cross-session Classification of Mental Workload Levels using Recurrent Neural Networks
Uncovering informative genes from colon cancer gene expression data via multi-step clustering based on generalized SOMs with splitting-merging structures
Solving the sequential ordering problem using branch and bound
Pointing gesture detection for human-robot communication in informationally structured space
Evolving Spiking Neural Networks for Nonlinear Control Problems
A Weighted Ensemble of Regression Methods for Gross Error Identification Problem
Accelerometer-based Hand Gesture Recognition for Human-Robot Interaction
Synthesis of reactive control protocols for switch electrical power systems for commercial application with safety specifications
Maximum Clusterability Divisive Clustering
Differential Evolution Through Variable Neighborhood Search for Constrained Real-Parameter Optimization Problems
Interactive genetic algorithm with implicit uncertainty evaluation for application in personalized search
Low-Cost Automated Visual Screw Inspection System
High-Performance Computing based Scalable Online Fuzzy Clustering Algorithms for Big Data
Double Q-learning Adaptive Wavelet Compression Method for Data Transmission at Environmental Monitoring Stations
Analysis of Partition Methods for Dominated Solution Removal from Large Solution Sets
Learning under extreme verification latency quickly: FAST COMPOSE
Using a Semi-Evolutionary Algorithm to Optimize Deep Network Hyper-Parameters with an Application to Donor Detection
Adapting linear discriminant analysis to the paradigm of learning from label proportions
Hybrid Deep Learning Model for Stock Price Prediction
An Evolutionary Computation Approach for Smart Grid Cascading Failure Vulnerability Analysis
Crowd Counting on Heavily Compressed Images with Curriculum Pre-Training
Distributed co-evolutionary particle swarm optimization using adaptive migration strategy
Emergent Behavior in Swarms with On-board Sensing
Improved Genetic Programming for Symbolic Regression: Case Studies on Practical Applications
A3DQN: Adaptive Anderson Acceleration for Deep Q-Networks
Feature extraction and target classification of side-scan sonar images
Deep Convolutional Neural Networks with Transfer Learning for Waterline Detection in Mussel Farms
Aggregation validation approach for the management of resources in a smart grid
Hybrid Fuzzy Weighted K-Nearest Neighbor to Predict Hospital Readmission for Diabetic Patients
Rapid Cigarette Detection Based on Faster R-CNN
Authentication Based on Touch Patterns Using an Artificial Immune System
Cooperative Particle Swarm Optimization Decomposition Methods for Large-scale Optimization
A multivariate time series approach to forecasting daily attendances at hospital emergency department
Sentiment analysis via Doc2Vec and Convolutional Neural Network hybrids
A Study in Overlapping Factor Decomposition for Cooperative Co-Evolution
Optimizing the Energy Consumption of Neural Networks
Multi-Channel Bayesian ART for robot fusion perception
Cascade Gaussian Process Regression Framework for Biomass Prediction in a Fed-batch Reactor
Study on Remote Sensing Image Vegetation Classification Method Based on Decision Tree Classifier
Quantitative Quality Assessment for EEG Data: A Mini Review
A Statistical Analysis of Performance in the 2021 CEC-GECCO-PESGM Competition on Evolutionary Computation in the Energy Domain
Polynomial-Spline Networks with Exact Integrals and Convergence Rates
Assessment of Post-Stroke Motor Function Weakness using Pressure Sensor Data
Decision-Making using the Hesitant Fuzzy Sets COMET Method: An Empirical Study of the Electric City Buses Selection
Brain Emotional Learning-Based Path Planning and Intelligent Control Co-Design for Unmanned Aerial Vehicle in Presence of System Uncertainties and Dynamic Environment
Finger Multimodal Features Fusion and Recognition Based on CNN
Design and Implementation of Hotel Room Management System
Analysis of Time Series Generated By Long Short-Term Memory Trained with Adversarial Imitation Learning
Data mining parameters' selection procedure applied to a multi-start local search algorithm for the permutation flow shop scheduling problem
Computing Sequences of Coalition Structures
An Adaptive Congestion Control and Fairness Scheduling Strategy for Wireless Mesh Networks
Ads-Guard: Detecting Scammers in Online Classified Ads
Multi-objective optimization of base classifiers in StackingC by NSGA-II for intrusion detection
On line emotion detection using retrainable deep neural networks
Designing a multilingual virtual agent capable of interacting with uneducated people for automated data collection
Comparison of the Effectiveness of Simple Agent Capabilities for an On-line Area Coverage Task
Decoding the Creative Ability of Subjects from Aesthetic Quality Assessment Using Dual Convolution Induced Capsule Network
XOR-Based Binary AEFA: Theoretical Studies and Applications
DeepHealth: Deep Representation Learning with Autoencoders for Healthcare Prediction
Effect of PE File Header Features on Accuracy
Audio-Textual Arabic Dialect Identification for Opinion Mining Videos
Evolving adabot: A mobile robot with adjustable wheel extensions
A novel distance measure over intuitionistic fuzzy sets with its applications in Pattern Recognition
Generalized Automated Energy Function Selection for Protein Structure Prediction on 2D and 3D HP Models
When and How to Transfer Knowledge in Dynamic Multi-objective Optimization
A discharge detection method in high-voltage direct current system using wavelet transform with adaptive wavelet level decision
Human Body Odor Based Authentication Using Machine Learning
Worst and Generalized Severity Evaluation for Evolutionary Dynamic Multi-objective Optimization
Brain Magnetic Resonance Imaging Generation using Generative Adversarial Networks
Towards the universal framework of stochastic nature-inspired population-based algorithms
Learning Boosts Optimisation: Surrogate-Assisted Real Engine Calibration
Machine Learning Inspired Phishing Detection (PD) for Efficient Classification and Secure Storage Distribution (SSD) for Cloud-IoT Application