yusuke1997/dblp-id-title huggingface dataset:
An Attentive Pruning Method for Edge Computing
FedMCT: A Federated Framework for Intellectual Property Protection and Malicious Client Tracking
Research on Ripple Removal on the Basis of Marine Monitoring
Automatic Identification Method of Pointer Meter under Complex Environment
Model&Motion based Shape Tracking in Large-Scale Cellular Datasets
Fault-Tolerant Consensus for Leader-following Multi-Agent Systems under False Data Injection Attacks
Pseudo Reward and Action Importance Classification for Sparse Reward Problem
A Study for Physiological Response of Intelligent Sports Training Products
A Survey on XSS Attack Detection and Prevention in Web Applications
Understanding the Impact of IT Affordances and Social Tie Strength in Online Social Commerce
Bidirectional-GRU Based on Attention Mechanism for Aspect-level Sentiment Analysis
Accelerated operating room scheduling using Lagrangian relaxation method and VNS meta-heuristic
Breeds Classification with Deep Convolutional Neural Network
Revisiting the Correlation of Basketball Stats and Match Outcome Prediction
Comprehensive Evaluation Method for Wireless Network Optimization Scheme Based on Improved TOPSIS
Multi-factor Quantitative Investment Tactic Design Based on Support Vector Machine
Semantically Enhanced Multi-scale Feature Pyramid Fusion for Pedestrian Detection
Multi-level Disentangled Contrastive Learning on Heterogeneous Graphs
Multi-Objective Optimal Design of Excitation Systems of Synchronous Condensers for HVDC Systems Based on MOEA/D
Multi-missile Path Planning algorithm based on Reinforcement Learning
Brain MR Images Super-Resolution with the Consistent Features
A Particle Swarm Optimization Approach to Multi Criteria Recommender System Utilizing Effective Similarity Measures
Control Weighting Parameter Setting of GPC-based Artificial Pancreas for Child Patients with Type 1 Diabetes
BP-TEG: Topic-to-Essay Generation for Official Documents
Applying XAI in Fashion-MNIST: Evaluating Hybrid Deep Neural Networks and Capsule Networks
A Robust Mature Tomato Detection in Greenhouse Scenes Using Machine Learning and Color Analysis
A Novel Ensemble Based Identification of Phishing E-Mails
Research on the Application of Big Data Management in Enterprise Management Decision-making and Execution Literature Review
Ensemble-Initialized k-Means Clustering
Bridging Language and Culture: Applying NLP Methods for Topic Classification of Couplets using BERT
Optical Remote Sensing Image Defogging Algorithm based on Different Wavelength
Text Document Clustering Using Memetic Feature Selection
Feature-based Selection for Open-source Video Conferencing Software System Using Fuzzy Analytical Hierarchy Process (FAHP)
Optimization and Reconstruction of EPMA Image Based on SAMP Algorithm
An Adaptive Control Mechanism for Improving the Loading Precision of Aircraft Hydraulic Servo Load Simulator
The target tracking of the non-smooth motion trajectory based on Volterra adaptive control
Hierarchy Generation and Exploitation via Extended Local Classification Schemes
Online Optimal Investment Portfolio Model Based on Deep Reinforcement Learning
Distributed Semi-supervised Multi-label Classification with Quantized Communication
Object Detection with Multi-RCNN Detectors
MNGAN: Detecting Anomalies with Memorized Normal Patterns
A New Method for Short-term Traffic Flow Prediction Based on Multi-segments Features
A Face Replacement Neural Network for Image and Video
Community detection in social tagging systems based semantics of tags
Fine-grained Recognition of 3D Shapes Based on Multi-view Recurrent Neural Network
Baby Shrimp Counting via Automated Image Processing
Siamese Network for Underwater Multiple Object Tracking
Predicting Personality Using Facebook Status Based on Semi-supervised Learning
Integrated Artificial Intelligence for Making Digital Human
Power Load Forecasting Using a Refined LSTM
SMOTE-Least Square Support Vector Machine for Classification of Multiclass Imbalanced Data
MakeApp: A Makeup Filter Application using Augmented Reality
An Ontology Embedding Approach Based on Multiple Neural Networks
Gym Exercises Monitoring with Smart Gloves: Exercise Recognition, Repetition Counting, and Imbalance Quantification
3VFP: Three-View Feature Propagation Entity Alignment
Bad Weather Condition Shadow detection of Docking Aircraft Algorithm
Temporal Word Embeddings for Narrative Understanding
QoE-Aware Adaptive Bitrate Algorithm Based on Subepisodic Deep Reinforcement Learning for DASH
ALBS: An Active Learning Framework Based on Syncretic Sample Selection Strategy
Construct the Students' Consumption Portrait Based on Large-scale Campus Data
Melanoma Segmentation and Classification in Clinical Images Using Deep Learning
Multi-Path and Multi-Loss Network for Person Re-Identification
Active Learning for Concept Prerequisite Learning in Wikipedia
Session-aware Graph Neural Network-based Recommendations for Custom Advertisement Segment Generation
A Comparative Study for Classification on Different Domain
Functional Regions Discovery and Evaluation using Spatial and Semantic Data
Applications of Machine Learning Techniques in Genetic Circuit Design
Linear Regression Based DDoS Attack Detection
SETE: Syntax-Enhanced Triplet Extraction with Semantic Consistency
Research of Automobile Fault Lamp Recognition Algorithm Based on Mobile Platform
A Segmentation Model of Lung Parenchyma in Chest CT Based on ResUnet
BERT-Based Models with Attention Mechanism and Lambda Layer for Biomedical Named Entity Recognition
Optimal Set of Overlapping Clusters Using Multi-objective Genetic Algorithm
A Hybrid Reinforcement Learning and Genetic Algorithm for VLSI Floorplanning
Semantic Auto-Encoder with L2-norm Constraint for Zero-Shot Learning
Research on Airport Bird Recognition Based on the Convolution Neural Network
ZeroLess-DARTS: Improved Differentiable Architecture Search with Refined Search Operation and Early Stopping
A Clustering Ensemble Method Based on Cluster Selection and Cluster Splitting
Toward an Effective Analysis of COVID-19 Moroccan Business Survey Data using Machine Learning Techniques
NTP-VFL - A New Scheme for Non-3rd Party Vertical Federated Learning
A Multi-source Data Modelling Method for Reliability Evaluation based on conversion factor and improved Particle Swarm Optimization
Hypernym Information and Sentiment Bias Probing in Distributed Data Representation
Performance Comparisons of Fault-Tolerant Rouging Approaches for IoT Wireless Sensor Networks
"The Foreign Language Effect" and Movie Recommendation: A Comparative Study of Sentiment Analysis of Movie Reviews in Chinese and English
Long-term Forecasting of Risk Indicators for Chinese Financial Derivatives Market Based on Seasonal-trend Decomposition and Sub-components Modeling
Development of Image Reconstruction Engine for Hand Scanner
A Flexible Approach for Human Activity Recognition Based on Broad Learning System
CHESS: Joint Energy and Makespan Optimization for Dynamic CNN Task Scheduling on the Heterogeneous System
Low Light Image Enhancement in USV Imaging System Via U-Net and Attention Mechanism
A New Method for Tuning Mutation and Crossover Rate in Genetic Algorithm
Application of Word2vec in Phoneme Recognition
A Gradient heatmap based Table Structure Recognition
Flower pollination Algorithm based on triple differential evolution and its application in Research on the classification and leveling of power cloud data
A Transmittance Optimization-based Framework for Image Dehazing on Multi-rotor Drones Imaging
A Review of Wrapper Feature Selection in Content Based Image Retrieval Systems
A Design of Convolutional Neural Network Using ReLU-Based ELM Classifier and Its Application
Modeling and Analysis Method of Dependency Network Based on Kill Chain and FDNA
Proceedings of the 9th International Conference on Machine Learning and Computing, ICMLC 2017, Singapore, February 24 - 26, 2017
Single Image De-Rain Algorithm Based on Multi-Scale Attention Residual Structure
Continual Few-Shot Relation Learning Via Dynamic Margin Loss and Space Recall
Analysis Method of Travel Mode Choice of Urban Residents Based on Spatial-temporal Heterogeneity
Inter-domain Link Inference with Confidence Using Naïve Bayes Classifier
A Study on the Performance Evaluation of Machine Learning Models for Phoneme Classification
Feature Encoding Methods Evaluation based on Multiple kernel Learning
The Application of Narrow-Band NDVI as a Tool for Mapping Mangrove Environment in Abu Dhabi
Learning-based Vulnerability Detection in Binary Code
Discourse-Aware Prompt for Argument Impact Classification
Reference-based Video Colorization with AB Chrominance Point and Temporal Propagation
Constrained Problem Optimization using Altered Artificial Bee Colony Algorithm
A Monte-Carlo Approach to the Value of Information in Crowdsourcing Quality Control Tasks
Word Sense Disambiguation for Lexicon-Based Sentiment Analysis
A Hybrid Binary Neural Tree For Malicious URL Detection
The Binary Equilibrium Optimization Algorithm with Sigmoid Transfer Functions
Enhanced Feature Importance Learning for the Click-Through Rate Prediction
Wireless Operation Monitoring and Remote Control System Implementation Using the Smartphone-Based Video Camera
One-Shot Face Recognition Based on Multiple Classifiers Training
Application of Data Mining Classification in Job-Changing
Leader-Follower Adaptive Formation Control without Observation of Agent's Velocity Using Wavelet Neural Network
Baileys: An Efficient Distributed Machine Learning Framework by Dynamic Grouping
Self-Attention-based Data Augmentation Method for Text Classification
A Machine Learning-Based Approach for Cardiovascular Diseases Prediction
Brain-inspired hierarchical spiking neural network using unsupervised STDP rule for image classification
SGCNN for 3D Point Cloud Classification
A Swin Transformer based Framework for Shape Recognition
Analysis of Music Transition in Acoustic Feature Space for Music Recommendation
K-CSRL: Knowledge Enhanced Conversational Semantic Role Labeling
Multiclass Classification of Software Vulnerabilities with Deep Learning
Improving Person Re-identification by Mask Guiding and Part Pooling
Metrological evaluation of modeling method between Kinect Fusion and 3D Scan with Kinect V2
Cost-Sensitive Ensemble Learning for Venture Capital Exit Prediction
Contrastive Pre-training for Imbalanced Corporate Credit Ratings
Using the Naive Bayes as a discriminative model
A New Chinese Event Detection Method based on PMTNet
Late Fusion in Part-based Person Re-identification
Tracking an Object over 200 FPS with the Fusion of Prior Probability and Kalman Filter
Ash Content Detection in Coal Slime Flotation Tailings Based on MobileViT
AdaBoost-Based 3D Object Classification from Surface and Depth Map Descriptors
A K-Prototypes Algorithm Based on Adaptive Determination of the Initial Centroids
User Authentication from Mouse Movement Data Using Multiple Classifiers
Backbone Feature Hierarchy Selection Strategy and Verification in Small Object Detection
Artificial Intelligence Model to Predict the Virality of Press Articles
Past Data-Driven Adaptation in Hierarchical Reinforcement Learning
Quantum Algorithm for Regularized Spectral Clustering
The Determination of the Equivalence of Causal Theories
Towards a More Generic and Elastic Metadata Management Model in a Data Lake Environment
Convolutional Neural Network for Freight Train Information Recognition
A General Personality Prediction Framework Based on Facebook Profiles
Conditional Generative Adversarial Networks for Hyperspectral Image Classification
Energy and Delay Efficient Routing Protocol (EDERP) for Threshold based Cluster Head Selection in Heterogeneous WSN
Characterizing phenotypes for Mental Health Disorders with Wrapper-typed Feature selection techniques: : Comparison of RF-RFE and Fuzzy Forest
Classification and Segmentation of Apple Diseases Based on Deep Learning
A Lip Localization Algorithm under Variant Light Conditions
Combining Sentence-based Relational Features with Biaffine Mechanism for Triple Extraction
A Novel Training Mechanism for Extending Convolutional Neural Network
Minimizing the Misclassification Rate of the Nearest Neighbor Rule Using a Two-stage Method
A Multi-Candidate Batch Mode Active Learning Approach
Self-supervised Domain Adaptation Model Based on Contrastive Learning
Radial Basis Function Network to Predict Gas Flow Rate in Multiphase Flow
Real-Time Deep Compressed Sensing Reconstruction for Electrocardiogram Signals
Room Occupancy Detection using Modified Stacking
Lads: Deep Survival Analysis for Churn Prediction Analysis in the Contract User Domain
DSP-PIGAN: A Precision-Consistency Machine Learning Algorithm for Solving Partial Differential Equations
Detection of Failure Updation and Correction for Visual Tracking with Kernalized Correlation Filter
Multi-View Federated Learning with Data Collaboration
GCN2-NAA: Two-stage Graph Convolutional Networks with Node-Aware Attention for Joint Entity and Relation Extraction
MHDT: A Deep-Learning-Based Text Detection Algorithm for Unstructured Data in Banking
Deep Atrial Fibrillation Classification Based on Multi-modal Attention Network
Detecting Climate Change Deniers on Twitter Using a Deep Neural Network
A Deformable Convolutional Neural Network with Oriented Response for Fine-Grained Visual Classification
Junction density based clustering algorithm for data with arbitrary shapes
Optimizing Chiller Defrosting Control through Spiking Neural Networks-Based Method
House Prices Prediction with Machine Learning Algorithms
Copula-based Cox Regression to Modelling Bivariate Time-to-Event Data
A lightweight single object tracking algorithm for low-power embedded devices
A Vectorization Approach to Language Identification of Social Media Short Texts
Development of a TinyML based four-chamber refrigerator (TBFCR) for efficiently storing pharmaceutical products: Case Study: Pharmacies in Rwanda
Analyzing Role of Artificial Intelligence in Project Management and Investment Risk: A CiteSpace Insight
Learning Item/User Vectors from Comments for Collaborative Recommendation
Modeling Intelligent Human Resources Systems (IRHS) using Big Data and Support Vector Machine (SVM)
An Improved Face Synthesis Model for Two-Pathway Generative Adversarial Network
Face Attribute Analysis Method Based on Self-Supervised Siamese Network
Evolutionary Convolutional Neural Networks Using ABC
Fuzzy Adaptive Internal Model Control for a Pneumatic Muscle Actuator
Refined CNNs for Face Recognition Applications on Embedded Devices
Temporal Difference Enhancement for High-Resolution Video Frame Interpolation
Saliency-aware Generative Art
Intersected EMG Heatmaps and Deep Learning Based Gesture Recognition
Surrogate Deep Learning to Estimate Uncertainties for Driver Intention Recognition
Image Captioning with Scene-graph Based Semantic Concepts
Combining Over-Sampling and Under-Sampling Techniques for Imbalance Dataset
Smart Technologies in Reducing Carbon Emission: Artificial Intelligence and Smart Water Meter
Using Principal Component Analysis and Online Sequential Extreme Learning Machine Approach for Transient Electromagnetic Nonlinear Inversion: TEM-Inversion-based-on-PCA-OSELM
Review of Imaging Device Identification Based on Machine Learning
Industrial Production Index Forecast based on EMD-TCN
Welding Seam Recognition Technology of Welding Robot Based on A Novel Multi-Path Neural Network Algorithm
Classification of Tropical Cyclone Risks in the Philippines using Random Forest
An Aspect Sentiment Triplet Extraction Method based on Syntax-Guided Muti-Turn Machine Reading Comprehension
Deep Residual Network with Self Attention Improves Person Re-Identification Accuracy
Research on Texture Defect Detection Based on Faster-RCNN and Feature Fusion
A Novel CNN Modeling Algorithm for the Instantaneous Flow Rate Measurement of Gas-liquid Multiphase Flow
A Comparative Study on Machine Learning Approaches to Thunderstorm Gale Identification
Smart Matching for Car Rental
Signature Verification with Chain Code and Geometric Features
Pedestrian Detection Based on Depth Information
Feature Extraction Method for Lip-reading under Variant Lighting Conditions
Research on Efficient Stream Cipher Design in Big Data Environment
DSIRBS : A Layer-wise Balanced DNN Weight Pruning Method
Research on fine-tuning CNN for cancer diagnosis with gene expression data
A Disk Failure Prediction Algorithm Based on Fusion Model
A Fast Detecting Method for Clone Functions Using Global Alignment of Token Sequences
Multidimensional Unfolding Based on Stochastic Neighbor Relationship
Building Visual Malware Dataset using VirusShare Data and Comparing Machine Learning Baseline Model to CoAtNet for Malware Classification
Recruitment Graph Model for Hiring Unique Competencies using Social Media Mining
A Research on liquidity risk management under the framework of COSO-ERM
A Redundancy Based Unsupervised Feature Selection Method for High-Dimensional Data
The Application of Phase Synchronization in Continuous Neural Signals
FDA-Unet: A Feature fusional U-Net with Deep Supervision and Attention Mechanism for COVID-19 Lung Infection Segmentation from CT Images
Improved Tourism Recommendation System
Swarm Search Methods in Weka for Data Mining
Study on the Efficiency of Refugee Migration Based on Computer Quantitative Computing
Unexpectedly Useful: Convergence Bounds And Real-World Distributed Learning
Online Forum Authenticity: Big Data Analytics in Healthcare
A Deep Neural Networks model for Restaurant Recommendation systems in Thailand
Application of ConvLSTM Network in Numerical Temperature Prediction Interpretation
A Method for Measuring Congestion Degree of Subway Network Based on PCA Algorithm
Emotion Recognition Based on Physiological Signals Using Convolution Neural Networks
A CNN-Relstm model based on a hybrid architecture of unidirectional and bidirectional LSTM for predicting stock prices
A Neural Network Architecture Combining Gated Recurrent Unit (GRU) and Support Vector Machine (SVM) for Intrusion Detection in Network Traffic Data
Learning Task-Specific Embeddings for Few-Shot Classification via Local Weight Adaptation
An Optimized Chameleon Algorithm based on Local Features
Reparameterizing Residual Unit for Real-time Maritime Low-light image Enhancement
Study on an Assistant Radiographic Film Evaluation System for Nuclear Power Plant
Ensemble of Radial Basis Neural Networks with Chinese Restaurant Process
Attention-guided Multiple Receptive Field Residual Block for Single Low-light Image Enhancement
Using Deep Learning to Construct Auto Web Penetration Test
Estimating Working Stressor Based on Pulse Wave
Mpox-PyramidTransferNet: A Hierarchical Transfer Learning Framework for Monkeypox and Dermatological Disease Classification
Design and Verification of Terahertz Wave Photoswitch Based on Silicon Photonic Crystal
Towards Big Data Analytics and Mining for UK Traffic Accident Analysis, Visualization & Prediction
A Intelligence Target Situation Assessment Method for Cooperative Search by ASW Patrol Aircraft
A Stance Detection Approach Based on Generalized Autoregressive pretrained Language Model in Chinese Microblogs
HMM Training by Using a Self-Organizing Map for Time Series Prediction
Mining Minds: Predicting IQ Scores Using Social Media Textual Analytics
Study on The Effect of Encoding Method in Quantum Machine Learning
SATE: A Self-Attention Based Text Topic Extraction Mechanism for Customer Service Dialog System
Similarity Measure Based on Adaptive Neighbors for Spectral Clustering
An Improved Calibration Method for the Structured Light System Based on Self-correction of Reprojection Error
Urban Residential Land Price Appraisal via Quantifying Impact Factors Based on Deep Belief Networks
Tracking Ground Targets with Road Constraint Using a Gaussian Mixture Road-Labeled PHD Filter
Track Multiple Objects with Feature-Correlation Algorithms
Kinect sensor performance for Windows V2 through graphical processing
Construction of a bank customer data warehouse and an application of data mining
A Community Detection Algorithm Based on Correlation Analysis of Connection Pattern
Writing the Elementary Function Procedure for the ALGOL68C Compiler
Features for FORTRAN Portability
Fortran Portability via Models and Tools
Algol 68 as a Language for Numerical Software
Multiple Program Realizations Using the TAMPR System
PORT - A Portable Mathematical Subroutine Library
The Production and Testing of Special Function Software in the NAG Library
Some Side Effects of Striving for Portability
Mathematical Software Transportability Systems - Have the Variations a Theme?
Fortran Poisoning and Antidotes
Two Numerical Analyst's View on the Draft Proposed ANS Fortran
A Study of Portability in Technical and Scientific
Portable Special Function Routines
Preparing Conventions for Parameters for Transportable
The Importance of Standardized Interfaces for Portable
Intermediate Languages: Current Status
Machine Requirement for Reliable, Portable Software
Machine Parameters for Numerical Analysis
The IMSL FORTRAN Converter: An Approach to Solving Portability Problems
Aids to Portability Within the NAG Project
Semantics of Floating Point Arithmetic and Elementary Functions
On the Enhancement of Portability within the NAG Project - Statistical Survey
Portability of Numerical Software, Workshop, Oak Brook, Illinois, USA, June 21-23, 1976
Criteria for Transportable ALGOL Libraries
Improved SIFT-Features Matching for Object Recognition
Grand Challenge 7: Journeys in Non-Classical Computation
Thai Defamatory Text Classification on Social Media
Overcoming Software Fragility with Interacting Feedback Loops and Reversible Phase Transitions
Characteristics of Unmaintainable Source Code in Software Development by Multiple Organizations
Events, Causality and Symmetry
Keynote: A Vision for the Science of Computing
A Customisable Multiprocessor for Application-Optimised Inductive Logic Programming
Web Engineering Revisited
Adaptive Random Re-Routing for Differentiated QoS in Sensor Networks
A Hardware Relaxation Paradigm for Solving NP-Hard Problems
On-Line Approximation Mining for Frequent Closed Itemsets Greater than or Equal to Size K
TOP: An Efficient Two-Levels of Positive Resampling Framework for Class Imbalanced Data
Two-Tier, Location-Aware and Highly Resilient Key Predistribution Scheme for Wireless Sensor Networks
On the Complexity of Parity Games
Spontaneous Pain Expression Recognition in Video Sequences
Computing a Longest Increasing Subsequence of Length k in Time O(n log log k)
Fault-Prone Source File Analysis Focusing on the Contribution Entropy in Open Source Development
Tool Breakage Detection using Deep Learning
Parallelizing the Construction of a k-Dimensional Tree
Beatbox - A Computer Simulation Environment for Computational Biology of the Heart
Do Review Feedbacks Influence to a Contributor's Time Spent on OSS Projects?
Tools for Traceable Security Verification
Keynote: The Space and Motion of Large Informatic Systems
Incremental Connectivity-Based Outlier Factor Algorithm
Provenance-Based Auditing of Private Data Use
Deep Learning Based Sentiment Classification in Social Network Services Datasets
On Using Physical Analogies for Feature and Shape Extraction in Computer Vision
A Unified Theory of Program Logics: An Approach based on the n-Calculus
Community Information's Effects on User Emotions and Behaviors
Hardware Dependability in the Presence of Soft Errors
Cancer Gene Analysis of Microarray Data
Understanding Popularity Growth of Packages in JavaScript Package Ecosystem
Compiling C-like Languages to FPGA Hardware: Some Novel Approaches Targeting Data Memory Organisation
Identifying Spoofing Accounts on Twitter Based on Relationships of Accounts
Energy Informatics Applicability; Machine Learning and Deep Learning
On the Use of Real-Time Maude for Architecture Description and Verification: A Case Study
Analyzing Software Maintenance Cost Based on Work Efficiency and Unit Cost
Developing Knowledge-Based Systems using the Semantic Web
Visions of Computer Science - BCS International Academic Conference, Imperial College, London, UK, 22-24 September 2008
Predictability Classification for Software Effort Estimation
Object representatives: a uniform abstraction for pointer information
Contexts for Human Action
Brain-Like Approximate Reasoning