yusuke1997/dblp-id-title huggingface dataset:
An Affordable Hybrid Cloud Based Cluster for Secure Health Informatics Research
Privacy-Preserving Public Auditing and Data Dynamics for Secure Cloud Storage Based on Exact Regenerated Code
Evaluating the Impact of Cryptographic Algorithms on Network Performance
Adaptive and Convex Optimization-Inspired Workflow Scheduling for Cloud Environment
A Cloud-Based Predictive Model for the Detection of Breast Cancer
Multi-Cloud Service Brokers for Selecting the Optimal Data Center in Cloud Environment
Secure Healthcare Monitoring Sensor Cloud With Attribute-Based Elliptical Curve Cryptography
Next-Gen Phishing Defense Enhancing Detection With Machine Learning and Expert Whitelisting/Blacklisting
Enhancing QoS with Resource Optimization Technique Based on Harmony Search in Cloud Environment
Offloading as a Service Middleware for Mobile Cloud Apps
Model Based Monitoring and Controlling for Platform-as-a-Service (PaaS)
Resource-Efficient Pareto-Optimal Green Scheduler Architecture
A Comprehensive Survey on Cloud Computing: Architecture, Tools, Technologies, and Open Issues
AFTTM: Agent-Based Fault Tolerance Trust Mechanism in Cloud Environment
λHive: Formal Semantics of an Edge Computing Model Based on JavaScript
Integrated Predictive Experience Management Framework (IPEMF) for Improving Customer Experience: In the Era of Digital Transformation
Agent based Resource Allocation Mechanism Focusing Cost Optimization in Cloud Computing
Determinants of Cloud Business Intelligence Adoption Among Ghanaian SMEs
Page Ranking Validation using Cellular Automata in Cloud
Analyzing Virtualization Vulnerabilities and Design a Secure Cloud Environment to Prevent from XSS Attack
A Cost-Optimized Data Parallel Task Scheduling in Multi-Core Resources Under Deadline and Budget Constraints
A Context-Based Performance Enhancement Algorithm for Columnar Storage in MapReduce with Hive
Improving Virtual Machine Migration Effects in Cloud Computing Environments Using Depth First Inspired Opportunity Exploration
Modelling of the Cloud Service Quality Factors Using ISM
Gaussian Distribution-Based Machine Learning Scheme for Anomaly Detection in Healthcare Sensor Cloud
Testing Software Services in Cloud Ecosystems
Analysis on Cloud Classification using Accessibility
An Adaptive Mechanism for Virtual Machine Migration in the Cloud Environment
A Secure Data Transmission Mechanism for Cloud Outsourced Data
A Novel Spatio-Temporal Access Control Model for Online Social Networks and Visual Verification
Integrated Fog and Cloud Computing Issues and Challenges
User Modeling Approach for Dyslexic Students in Virtual Learning Environments
Multi-Cloud Adoption Challenges for the Cloud-Native Era: Best Practices and Solution Approaches
Database Sharding: To Provide Fault Tolerance and Scalability of Big Data on the Cloud
An Analysis of the Factors Affecting the Adoption of Cloud Computing in Higher Educational Institutions: A Developing Country Perspective
Ranking Model for SLA Resource Provisioning Management
A Comparative Study of Privacy-Preserving Homomorphic Encryption Techniques in Cloud Computing
Architecture of Fog-Enabled and Cloud-Enhanced Internet of Things Applications
Cloud Data Centre Energy Utilization Estimation: Simulation and Modelling With iDR
Survey of the State-of-the-Art of Cloud Computing
Determinants of Customer Loyalty in a Cloud Computing Environment
Efficient Pairing-Free Identity-Based Signcryption Scheme for Cloud-Assisted IoT
Power Aware Meta Scheduler for Adaptive VM Provisioning in IaaS Cloud
A Survey on Multi-Objective Tasks and Workflow Scheduling Algorithms in Cloud Computing
A Generic, Cloud-Based Representation for Supply Chains (SC's)
Survey on Service Placement, Provisioning, and Composition for Fog-Based IoT Systems
Catholic Impact Evolution Through Public Twitter Data During COVID-19
Security Issues in Cloud Computing: A Survey of Risks, Threats and Vulnerabilities
Load and Cost-Aware Min-Min Workflow Scheduling Algorithm for Heterogeneous Resources in Fog, Cloud, and Edge Scenarios
System Level Benchmarking of Public Clouds
Virtual Machine Allocation in Cloud Computing Environment
Data Specific Ranking in Cloud
Deep Learning-Based COVID-19 Pneumonia Classification Using Chest CT Images: Model Generalizability
A Comparative Study of Machine Learning Methods for Persistence Diagrams
A review of AI-based business lead generation: Scrapus as a case study
LLM services in the management of social communications
Evaluating ChatGPT-4's historical accuracy: a case study on the origins of SWOT analysis
Performance comparison of bio-inspired and learning-based clustering analysis with machine learning techniques for classification of EEG signals
Generative AI with WGAN-GP for boosting seizure detection accuracy
Bringing multi-modal multi-task federated foundation models to education domain: prospects and challenges
A framework for establishing shared, task-oriented understanding in hybrid open multi-agent systems
Editorial: Women in language and computation 2022
Unsupervised literature mining approaches for extracting relationships pertaining to habitats and reproductive conditions of plant species
Is Class-Incremental Enough for Continual Learning?
Weight-aware semi-supervised self-ensembling framework for interior decoration style classification
Automatic text classification of drug-induced liver injury using document-term matrix and XGBoost
Automatic modeling of student characteristics with interaction and physiological data using machine learning: A review
An argumentation semantics for rational human evaluation of arguments
Image restoration in frequency space using complex-valued CNNs
Hypergraph-based contrastive learning for enhanced fraud detection
Artificial Intelligence Based Approaches to Identify Molecular Determinants of Exceptional Health and Life Span-An Interdisciplinary Workshop at the National Institute on Aging
Statistical learning models to measure the impact of COVID-19 on financial fragility
Artificial intelligence-assisted capsule endoscopy for detecting lesions in Crohn's disease: a systematic review and meta-analysis
AI for Improving Children's Health: A Community Case Study
Man vs. machine: can AI outperform ESL student translations?
General SIR model for visible and hidden epidemic dynamics
A graph neural architecture search approach for identifying bots in social media
CMDMamba: dual-layer Mamba architecture with dual convolutional feed-forward networks for efficient financial time series forecasting
Analyzing handwriting legibility through hand kinematics
Limitations of broadly trained LLMs in interpreting orthopedic Walch glenoid classifications
Emotion Analysis of Arabic Tweets: Language Models and Available Resources
How AI competencies can make B2B marketing smarter: strategies to boost customer lifetime value
Deep learning architectures for influenza dynamics and treatment optimization: a comprehensive review
A review on deep learning methods for heart sound signal analysis
Understanding acceptance and resistance toward generative AI technologies: a multi-theoretical framework integrating functional, risk, and sociolegal factors
Editorial: Applications of AI and machine learning in finance and economics
Implementation of deep reinforcement learning models for emotion detection and personalization of learning in hybrid educational environments
An Ontology-Based Chatbot to Enhance Experiential Learning in a Cultural Heritage Scenario
Local transplantation, adaptation, and creation of AI models for public health policy
Emotional characteristic analysis of human gait while real-time movie viewing
Using ChatGPT to navigate ambivalent and contradictory research findings on artificial intelligence
Comparing Deep Learning Approaches for Understanding Genotype × Phenotype Interactions in Biomass Sorghum
Large language models for whole-learner support: opportunities and challenges
A dynamic approach for visualizing and exploring concept hierarchies from textbooks
Artificial intelligence for ovarian cancer diagnosis via ultrasound: a systematic review and quantitative assessment of model performance
Multimodal data integration for oncology in the era of deep neural networks: a review
Machine vs. human, who makes a better judgment on innovation? Take GPT-4 for example
Automatic Detection of Flavescence Dorée Symptoms Across White Grapevine Varieties Using Deep Learning
Predictors of mortality among neonates in Lusaka, Zambia: a comparative analysis of machine learning and traditional survival analysis techniques
Ethical Questions Raised by AI-Supported Mentoring in Higher Education
Model-agnostic explainable artificial intelligence tools for severity prediction and symptom analysis on Indian COVID-19 data
How the Brain Dynamically Constructs Sentence-Level Meanings From Word-Level Features
SE(3) group convolutional neural networks and a study on group convolutions and equivariance for DWI segmentation
Solving the elusiveness of word meanings: two arguments for a continuous meaning space for language
Doctor AI? A pilot study examining responses of artificial intelligence to common questions asked by geriatric patients
Comparative diagnostic accuracy of artificial intelligence-derived risk stratification versus conventional risk stratification methods in pulmonary hypertension patients: a systematic review and meta-analysis
Is synthetic data generation effective in maintaining clinical biomarkers? Investigating diffusion models across diverse imaging modalities
Preventing Failures by Dataset Shift Detection in Safety-Critical Graph Applications
An analysis of artificial intelligence automation in digital music streaming platforms for improving consumer subscription responses: a review
Digital Articulation: Examining Text-Based Linguistic Performances in Mobile Communication Through Keystroke-Logging Analysis
Robust predictive framework for diabetes classification using optimized machine learning on imbalanced datasets
Pilot Study of Real-World Monitoring of the Heart Rate Variability in Amyotrophic Lateral Sclerosis
The rise of generative AI and enculturating AI writing in postsecondary education
Assessing medical students' attitudes, performance, and usage of ChatGPT in Jeddah, Saudi Arabia
Application of the symbolic regression program AI-Feynman to psychology
Experiences of Game-Based Learning and Reviewing History of the Experience Using Player's Emotions
Digital Slide Assessment for Programmed Death-Ligand 1 Combined Positive Score in Head and Neck Squamous Carcinoma: Focus on Validation and Vision
Explainable AI in Fintech Risk Management
Developing and Evaluating a University Recommender System
ALL classification using neural ensemble and memetic deep feature optimization
Editorial: Human-centered artificial intelligence in interaction processes
Proactive and reactive engagement of artificial intelligence methods for education: a review
Sentiment Analysis of European Bonds 2016-2018
Machine Learning Approaches Reveal That the Number of Tests Do Not Matter to the Prediction of Global Confirmed COVID-19 Cases
Comparison of the accuracy of GPT-4 and resident physicians in differentiating benign and malignant thyroid nodules
Rethinking symbolic and visual context in Referring Expression Generation
Infusing Expert Knowledge Into a Deep Neural Network Using Attention Mechanism for Personalized Learning Environments
Mortality prediction of heart transplantation using machine learning models: a systematic review and meta-analysis
Bibliometric analysis for artificial intelligence in the internet of medical things: mapping and performance analysis
Applications of Learning Analytics in High Schools: A Systematic Literature Review
Research on intelligent matching of students' learning ability and healthcare job market demand based on industrial engineering expertise graph
Targeted generative data augmentation for automatic metastases detection from free-text radiology reports
Large language model triaging of simulated nephrology patient inbox messages
Evaluation of large language models under different training background in Chinese medical examination: a comparative study
Large Language Models in equity markets: applications, techniques, and insights
An Explainable Multimodal Neural Network Architecture for Predicting Epilepsy Comorbidities Based on Administrative Claims Data
On the emergent capabilities of ChatGPT 4 to estimate personality traits
Mysteries, Epistemological Modesty, and Artificial Intelligence in Surgery
A distance-based kernel for classification via Support Vector Machines
Efficient spatio-temporal modeling for sign language recognition using CNN and RNN architectures
Prompt engineering for accurate statistical reasoning with large language models in medical research
Analysis of article screening and data extraction performance by an AI systematic literature review platform
Exploring artificial intelligence techniques to research low energy nuclear reactions
Developing a Conversational Agent's Capability to Identify Structural Wrongness in Arguments Based on Toulmin's Model of Arguments
Text-Graph Enhanced Knowledge Graph Representation Learning
A novel framework for automated warehouse layout generation
Legal Logit Model for predicting judicial disagreement in Indian courts
AI integration in nephrology: evaluating ChatGPT for accurate ICD-10 documentation and coding
"I don't Think These Devices are Very Culturally Sensitive." - Impact of Automated Speech Recognition Errors on African Americans
Hierarchical structures emerge from the cultural transmission: an iterated learning experiment using a non-linguistic task
Shallow Univariate ReLU Networks as Splines: Initialization, Loss Surface, Hessian, and Gradient Flow Dynamics
Development and evaluation of a java-based deep neural network method for drug response predictions
Deep learning for accurate B-line detection and localization in lung ultrasound imaging
ROA: A Rapid Learning Scheme for In-Situ Memristor Networks
Deep Learning Based Superconducting Radio-Frequency Cavity Fault Classification at Jefferson Laboratory
Ontology-based prompt tuning for news article summarization
Generating high-fidelity privacy-conscious synthetic patient data for causal effect estimation with multiple treatments
Causal Datasheet for Datasets: An Evaluation Guide for Real-World Data Analysis and Data Collection Design Using Bayesian Networks
Catastrophic Forgetting in Deep Graph Networks: A Graph Classification Benchmark
Exploring the evolution and future prospects of Amharic to English machine translation: a systematic review
Edge computing for detection of ship and ship port from remote sensing images using YOLO
Training neural networks with universal adiabatic quantum computing
Explainable machine learning for predicting recurrence-free survival in endometrial carcinosarcoma patients
Analyzing global utilization and missed opportunities in debt-for-nature swaps with generative AI
Artificial Intelligence for COVID-19 Drug Discovery and Vaccine Development
Construction of a prediction and visualization system for cognitive impairment in elderly COPD patients based on self-assigning feature weights and residual evolution model
The potential of Logistics 4.0 technologies: a case study through business intelligence framing by applying the Delphi method
GaTO: An Ontological Model to Apply Gamification in Intelligent Tutoring Systems
Data quality challenges of AIGC application in smart agriculture
Automated information extraction model enhancing traditional Chinese medicine RCT evidence extraction (Evi-BERT): algorithm development and validation
YOLOv10-based detection of melanocytic nevi: reverse exclusion optimization for melanoma screening
Requirements and challenges for hybrid intelligence: A case-study in education
Ethical prompting: toward strategies for rapid and inclusive assistance in dual-use AI systems
A Perspective on Building Ethical Datasets for Children's Conversational Agents
Evolving intellectual property landscape for AI-driven innovations in the biomedical sector: opportunities in stable IP regime for shared success
Artificial Intelligence, Big Data, and mHealth: The Frontiers of the Prevention of Violence Against Children
Machine learning applications in the analysis of sedentary behavior and associated health risks
Overview and commentary of the CDEI's extended roadmap to an effective AI assurance ecosystem
A New Acoustic-Based Pronunciation Distance Measure
Hybrid Hashtags: #YouKnowYoureAKiwiWhen Your Tweet Contains Māori and English
Time-series representation learning via Time-Frequency Fusion Contrasting
Editorial: Deep neural network architectures and reservoir computing
The current state, challenges, and future directions of artificial intelligence in healthcare in Saudi Arabia: systematic review
Disembodied AI and the limits to machine understanding of students' embodied interactions
Learning from real world data about combinatorial treatment selection for COVID-19
Advancements in cache management: a review of machine learning innovations for enhanced performance and security
A brain-inspired memory transformation based differentiable neural computer for reasoning-based question answering
Machine learning-based strategies for improving healthcare data quality: an evaluation of accuracy, completeness, and reusability
Training in new forms of human-AI interaction improves complex working memory and switching skills of language professionals
Artificial intelligence applied to diabetes complications: a bibliometric analysis
Exploring ChatGPT's potential in the clinical stream of neurorehabilitation
EmoShiftNet: a shift-aware multi-task learning framework with fusion strategies for emotion recognition in multi-party conversations
Adaptive enhancements of autonomous lane keeping via advanced PER-TD3 framework
Topological Data Analysis Highlights Novel Geographical Signatures of the Human Gut Microbiome
CycleStyleGAN-Based Knowledge Transfer for a Machining Digital Twin
GANterfactual - Counterfactual Explanations for Medical Non-experts Using Generative Adversarial Learning
Computational Creativity and Music Generation Systems: An Introduction to the State of the Art
Studying the Evolution of Neural Activation Patterns During Training of Feed-Forward ReLU Networks
Machine Learning Detects Anti-DENV Signatures in Antibody Repertoire Sequences
Editorial: Theory of Mind in Humans and in Machines
Comparative study of machine learning techniques for post-combustion carbon capture systems
Layer wise Scaled Gaussian Priors for Markov Chain Monte Carlo Sampled deep Bayesian neural networks
AI-driven epidemic intelligence: the future of outbreak detection and response
Plant leaf disease recognition based on improved SinGAN and improved ResNet34
Multitask connected U-Net: automatic lung cancer segmentation from CT images using PET knowledge guidance
AI in phishing detection: a bibliometric review
Locally linear attributes of ReLU neural networks
Editorial: Human-centered AI: Crowd computing
SNPAAMapper-Python: A highly efficient genome-wide SNP variant analysis pipeline for Next-Generation Sequencing data
Hybrid morphological-convolutional neural networks for computer-aided diagnosis
Predicting Escherichia coli levels in manure using machine learning in weeping wall and mechanical liquid solid separation systems
DICE: A Drug Indication Classification and Encyclopedia for AI-Based Indication Extraction
Diversity-enhanced reconstruction as plug-in defenders against adversarial perturbations
AttentionTTE: a deep learning model for estimated time of arrival
An overview of model uncertainty and variability in LLM-based sentiment analysis: challenges, mitigation strategies, and the role of explainability
Optimizing surface defect detection with YOLOv9: the role of advanced backbone models
Control Sequence Ranking for Critical System Based on Health of Equipment Thanks to Choquet Integral
Commentary: Implications of causality in artificial intelligence. Why Causal AI is easier said than done
Physics-Informed Tensor-Train ConvLSTM for Volumetric Velocity Forecasting of the Loop Current
Overview of Chatbots with special emphasis on artificial intelligence-enabled ChatGPT in medical science
Assessing the quality of AI-generated clinical notes: validated evaluation of a large language model ambient scribe
Enhancing random forest predictive performance for foot and mouth disease outbreaks in Uganda: a calibrated uncertainty prediction approach for varying distributions
Enabling Training of Neural Networks on Noisy Hardware
Population-Based Screening for Endometrial Cancer: Human vs. Machine Intelligence
Constructing and evaluating ArabicStanceX: a social media dataset for Arabic stance detection
Human- versus Artificial Intelligence
A multimodal deep learning architecture for smoking detection with a small data approach
Artificial Intelligence: A Clarification of Misconceptions, Myths and Desired Status
Transfer Across Different Machines by Transfer Function Estimation
Federated quantum-inspired anomaly detection using collaborative neural clients
Computing the impact of central clearing on systemic risk
The use of automation in the rendition of certain articles of the Saudi Commercial Law into English: a post-editing-based comparison of five machine translation systems
TB-Net: A Tailored, Self-Attention Deep Convolutional Neural Network Design for Detection of Tuberculosis Cases From Chest X-Ray Images
College Football Overtime Outcomes: Implications for In-Game Decision-Making
Protecting digital assets using an ontology based cyber situational awareness system
Instance Segmentation to Estimate Consumption of Corn Ears by Wild Animals for GMO Preference Tests
AI Data-Driven Personalisation and Disability Inclusion
Adapting Learning Activity Selection to Emotional Stability and Competence
No silver bullet: interpretable ML models must be explained
A mobile hybrid deep learning approach for classifying 3D-like representations of Amazonian lizards
Humans and cyber-physical systems as teammates? Characteristics and applicability of the human-machine-teaming concept in intelligent manufacturing
Leveraging psychedelic neuroscience to boost human creativity using artificial intelligence
Machine learning techniques for improved prediction of cardiovascular diseases using integrated healthcare data
Internet of things driven hybrid neuro-fuzzy deep learning building energy management system for cost and schedule optimization
Predicting the Disease Outcome in COVID-19 Positive Patients Through Machine Learning: A Retrospective Cohort Study With Brazilian Data
On the Construction of Group Equivariant Non-Expansive Operators via Permutants and Symmetric Functions
A cognitive modeling approach to learning and using reference biases in language
The relevance of lead prioritization: a B2B lead scoring model based on machine learning
Authority and solidarity on the Estonian COVID-19 signs: In line with the government's guidelines, we ask you to wear a mask
Domain Generalization for Language-Independent Automatic Speech Recognition
Political ideology shapes support for the use of AI in policy-making
Affective Response Categories - Toward Personalized Reactions in Affect-Adaptive Tutoring Systems
The Perils of Misspecified Priors and Optional Stopping in Multi-Armed Bandits
Artificial intelligence in triage of COVID-19 patients
Whale-optimized LSTM networks for enhanced automatic text summarization
Diversity in people's reluctance to use medical artificial intelligence: Identifying subgroups through latent profile analysis
Manipulation and Malicious Personalization: Exploring the Self-Disclosure Biases Exploited by Deceptive Attackers on Social Media
A Novel Bayesian General Medical Diagnostic Assistant Achieves Superior Accuracy With Sparse History
A dynamic multitask evolutionary algorithm for high-dimensional feature selection based on multi-indicator task construction and elite competition learning
One Hundred Years of Migration Discourse in The Times: A Discourse-Historical Word Vector Space Approach to the Construction of Meaning
Clinical entity-aware domain adaptation in low resource setting for inflammatory bowel disease
Enhancing the design of voting advice applications with BERT language model