yusuke1997/dblp-id-title huggingface dataset:
An improved Dijkstra cross-plane image encryption algorithm based on a chaotic system
3Es for AI: Economics, Explanation, Epistemology
A Straightforward HPV16 Lineage Classification Based on Machine Learning
Evaluating accuracy and reproducibility of large language model performance on critical care assessments in pharmacy education
NLP-enhanced inflation measurement using BERT and web scraping
Data stream-pairwise bottleneck transformer for engagement estimation from video conversation
Developing and testing a prediction model for periodontal disease using machine learning and big electronic dental record data
An Introduction to Topological Data Analysis: Fundamental and Practical Aspects for Data Scientists
Re-tear after arthroscopic rotator cuff repair can be predicted using deep learning algorithm
Enhancing one-year mortality prediction in STEMI patients post-PCI: an interpretable machine learning model with risk stratification
Leveraging Open Electronic Health Record Data and Environmental Exposures Data to Derive Insights Into Rare Pulmonary Disease
Pipeline monitoring data recovery using novel deep learning models: an engineering case study
Enhancing detection of common bean diseases using Fast Gradient Sign Method-trained Vision Transformers
A global model-agnostic rule-based XAI method based on Parameterized Event Primitives for time series classifiers
AI-Assisted CT as a Clinical and Research Tool for COVID-19
mPD-APP: a mobile-enabled plant diseases diagnosis application using convolutional neural network toward the attainment of a food secure world
Persuasive Apps for Sustainable Waste Management: A Comparative Systematic Evaluation of Behavior Change Strategies and State-of-the-Art
Improving the Robustness of Object Detection Through a Multi-Camera-Based Fusion Algorithm Using Fuzzy Logic
Transparency and precision in the age of AI: evaluation of explainability-enhanced recommendation systems
Psychological assessment of AI-based decision support systems: tool development and expected benefits
A Genetic Folding Strategy Based Support Vector Machine to Optimize Lung Cancer Classification
Unanswerable Questions About Images and Texts
Editorial: Human-Centered Artificial Intelligence in Industry 5.0
On the Impact of Digitalization and Artificial Intelligence on Employers' Flexibility Requirements in Occupations - Empirical Evidence for Germany
Modelling Speaker Attribution in Narrative Texts With Biased and Bias-Adjustable Neural Networks
A decision support system to recommend appropriate therapy protocol for AML patients
Editorial: Respecting Human Autonomy through Human-Centered AI
Exploring the role of AI in classifying, analyzing, and generating case reports on assisted suicide cases: feasibility and ethical implications
Argument-based human-AI collaboration for supporting behavior change to improve health
Three-stage registration pipeline for dynamic lung field of chest X-ray images based on convolutional neural networks
Participatory design of teacher dashboards: navigating the tension between teacher input and theories on teacher professional vision
Analysis and correcting pronunciation disorders based on artificial intelligence approach
Predicting Biomass and Yield in a Tomato Phenotyping Experiment Using UAV Imagery and Random Forest
Location and Language Independent Fake Rumor Detection Through Epidemiological and Structural Graph Analysis of Social Connections
Application of artificial intelligence in the development of Jamu "traditional Indonesian medicine" as a more effective drug
Segmentation of Lung Nodules on CT Images Using a Nested Three-Dimensional Fully Connected Convolutional Network
Closed-Form Results for Prior Constraints in Sum-Product Networks
Understanding the need for digital twins' data in patient advocacy and forecasting oncology
Governing AI in Southeast Asia: ASEAN's way forward
Interactive network visualization of opioid crisis research: a tool for reinforcing data linkage skills for public health policy researchers
Predicting patient reported outcome measures: a scoping review for the artificial intelligence-guided patient preference predictor
Patient-centered modeling of the breast biopsy experience
Explainable machine learning to predict the cost of capital
Ethical theories, governance models, and strategic frameworks for responsible AI adoption and organizational success
Correction: Stylistic variation across English translations of Chinese science fiction: Ken Liu versus ChatGPT
HMA-Net: a hybrid mixer framework with multihead attention for breast ultrasound image segmentation
AI-driven routing pipeline in software-defined networks using DQL: a mini review
Graph Learning for Fake Review Detection
An Occupational Safety and Health Perspective on Human in Control and AI
Editorial: Learning Analytics - Trends and Challenges
Deep Active Learning via Open-Set Recognition
Machine Learning Models for the Classification of Sleep Deprivation Induced Performance Impairment During a Psychomotor Vigilance Task Using Indices of Eye and Face Tracking
Explainable deep learning in plant phenotyping
Artificial intelligence technology application and corporate ESG performance - evidence from national pilot zones for artificial intelligence innovation and application
Identifying the role of vision transformer for skin cancer - A scoping review
Graph Neural Networks for Maximum Constraint Satisfaction
The Generative Adversarial Brain
Bayesian model of tilling wheat confronting climatic and sustainability challenges
Sentence-level complexity in Russian: An evaluation of BERT and graph neural networks
Foresight for ethical AI
Variation-Based Distance and Similarity Modeling: A Case Study in World Englishes
Benefits of Adaptive Learning Transfer From Typing-Based Learning to Speech-Based Learning
An empirical assessment of the use of an algorithm factory for video delivery operations
Backpropagation-Based Decoding for Multimodal Machine Translation
Topic modeling and social network analysis approach to explore diabetes discourse on Twitter in India
Investigating generative AI models and detection techniques: impacts of tokenization and dataset size on identification of AI-generated text
AI and its consequences for the written word
Factors associated with citations of articles on circular economy in the Web of Science: modeling for main publishers
Rare and complex diseases in focus: ChatGPT's role in improving diagnosis and treatment
Automatic Artifact Detection Algorithm in Fetal MRI
Experiments with LDA and Top2Vec for embedded topic discovery on social media data - A case study of cystic fibrosis
Developing and validating a drug recommendation system based on tumor microenvironment and drug fingerprint
Segmenting female students' perceptions about Fintech using Explainable AI
Predicting BRICS NIFTY50 returns using XAI and S.A.F.E AI lens
Dual feature-based and example-based explanation methods
Auto-scaling LLM-based multi-agent systems through dynamic integration of agents
Exploratory-Phase-Free Estimation of GP Hyperparameters in Sequential Design Methods - At the Example of Bayesian Inverse Problems
MagNet: Detecting Digital Presentation Attacks on Face Recognition
Structuring ontologies from natural language for collaborative scenario modeling in agri-food systems
Minimal Cycle Representatives in Persistent Homology Using Linear Programming: An Empirical Study With User's Guide
XGSleeve: detecting sleeve incidents in well completion by using XGBoost classifier
Editorial: Intelligence Support for Mentoring Processes in Higher Education (and Beyond)
Metaverse technology tree: a holistic view
Artificial intelligence adoption and corporate ESG performance: evidence from a refined large language model
A review of the explainability and safety of conversational agents for mental health to identify avenues for improvement
Unsupervised Text Segmentation Predicts Eye Fixations During Reading
FLA-UNet: feature-location attention U-Net for foveal avascular zone segmentation in OCTA images
Corrigendum: Using Crowd-Sourced Speech Data to Study Socially Constrained Variation in Nonmodal Phonation
Asian hate speech detection on Twitter during COVID-19
Integration of AI and Machine Learning in Radiotherapy QA
An Introductory Review of Deep Learning for Prediction Models With Big Data
Socially interactive agents for robotic neurorehabilitation training: conceptualization and proof-of-concept study
Predicting clinical trial success for Clostridium difficile infections based on preclinical data
Computed Tomography Radiomics Kinetics as Early Imaging Correlates of Osteoradionecrosis in Oropharyngeal Cancer Patients
A Modified AUC for Training Convolutional Neural Networks: Taking Confidence Into Account
Predicting the Bitcoin's price using AI
Cracking the genetic code with neural networks
A prospective evaluation of breast thermography enhanced by a novel machine learning technique for screening breast abnormalities in a general population of women presenting to a secondary care hospital
From digital traces to public vaccination behaviors: leveraging large language models for big data classification
Development and Validation of Manually Modified and Supervised Machine Learning Clinical Assessment Algorithms for Malaria in Nigerian Children
Artificial Neural Network Based Non-linear Transformation of High-Frequency Returns for Volatility Forecasting
A step-by-step method for cultural annotation by LLMs
Three levels at which the user's cognition can be represented in artificial intelligence
ICT Enabled Disease Diagnosis, Treatment and Management - A Holistic Cost-Effective Approach Through Data Management and Analysis in UAE and India
A systematic review of Machine Learning and Deep Learning approaches in Mexico: challenges and opportunities
Decision trees: from efficient prediction to responsible AI
Interpretability Versus Accuracy: A Comparison of Machine Learning Models Built Using Different Algorithms, Performance Measures, and Features to Predict E. coli Levels in Agricultural Water
Creating Music With Fuzzy Logic
Predicting overall survival from tumor dynamics metrics using parametric statistical and machine learning models: application to patients with RET-altered solid tumors
Algorithmic Probability-Guided Machine Learning on Non-Differentiable Spaces
Mortality Prediction in Cardiac Intensive Care Unit Patients: A Systematic Review of Existing and Artificial Intelligence Augmented Approaches
An algorithm for computing Schubert varieties of best fit with applications
Who speaks next? Multi-party AI discussion leveraging the systematics of turn-taking in Murder Mystery games
Advanced driving assistance integration in electric motorcycles: road surface classification with a focus on gravel detection using deep learning
Artificial intelligence applied to omics data in liver diseases: Enhancing clinical predictions
Transfer learning-based hybrid VGG16-machine learning approach for heart disease detection with explainable artificial intelligence
Neuroimaging data repositories and AI-driven healthcare - Global aspirations vs. ethical considerations in machine learning models of neurological disease
Fintech Risk Management: A Research Challenge for Artificial Intelligence in Finance
Rare disease-based scientific annotation knowledge graph
Artificial intelligence for algorithmic trading digital assets: evidence from the Counter-Strike 2 skin market
Combining large language models with enterprise knowledge graphs: a perspective on enhanced natural language understanding
Multi-modal texture fusion network for detecting AI-generated images
Artificial intelligence, complexity, and systemic resilience in global governance
Modeling disagreement in automatic data labeling for semi-supervised learning in Clinical Natural Language Processing
Forecasting global monthly cotton prices: the superiority of NNAR models over traditional models
Predicting food prices in Kenya using machine learning: a hybrid model approach with XGBoost and gradient boosting
Fibrosis-Net: A Tailored Deep Convolutional Neural Network Design for Prediction of Pulmonary Fibrosis Progression From Chest CT Images
MLR-predictor: a versatile and efficient computational framework for multi-label requirements classification
African American English intensifier dennamug: Using twitter to investigate syntactic change in low-frequency forms
Machine learning based assessment of hoarseness severity: a multi-sensor approach centered on high-speed videoendoscopy
Application of machine learning for lung cancer survival prognostication - A systematic review and meta-analysis
Registerial Adaptation vs. Innovation Across Situational Contexts: 18th Century Women in Transition
A case study for unlocking the potential of deep learning in asset-liability-management
Considerations on the regulation of AI systems in the financial sector by the AI Act
Assessing longitudinal housing status using Electronic Health Record data: a comparison of natural language processing, structured data, and patient-reported history
NLP-based removal of personally identifiable information from Hungarian electronic health records
COVLIAS 3.0: cloud-based quantized hybrid UNet3+ deep learning for COVID-19 lesion detection in lung computed tomography
SATS: simplification aware text summarization of scientific documents
Governing Ethical AI Transformation: A Case Study of AuroraAI
Artificial Intelligence and Telehealth may Provide Early Warning of Epidemics
Benchmarking Perturbation-Based Saliency Maps for Explaining Atari Agents
A Machine Learning Approach to Personalize Computerized Cognitive Training Interventions
AI for evidence-based treatment recommendation in oncology: a blinded evaluation of large language models and agentic workflows
A sentiment analysis approach to the prediction of market volatility
A longitudinal study on artificial intelligence adoption: understanding the drivers of ChatGPT usage behavior change in higher education
Diagnostic medical artificial intelligence: Futuristic prospects for implementation in healthcare settings
Linguistic Variation and Change in 250 Years of English Scientific Writing: A Data-Driven Approach
Knowledge, attitude, and practice of artificial intelligence among doctors and medical students in Syria: A cross-sectional online survey
Application of Laser-Induced Breakdown Spectroscopy Coupled With Spectral Matrix and Convolutional Neural Network for Identifying Geographical Origins of Gentiana rigescens Franch
Editorial: AI in digital oncology: imaging and wearable technology for cancer detection and management
Where Did FinTechs Come From, and Where Do They Go? The Transformation of the Financial Industry in Germany After Digitalization
Diagnostic Accuracy of Machine Learning Models to Identify Congenital Heart Disease: A Meta-Analysis
More polished, not necessarily more learned: LLMs and perceived text quality in higher education
Analysis of argument structure constructions in the large language model BERT
Contact Tracing in Healthcare Settings During the COVID-19 Pandemic Using Bluetooth Low Energy and Artificial Intelligence - A Viewpoint
Understanding image-text relations and news values for multimodal news analysis
ArabBert-LSTM: improving Arabic sentiment analysis based on transformer model and Long Short-Term Memory
Are We There Yet? - A Systematic Literature Review on Chatbots in Education
On automatic decipherment of lost ancient scripts relying on combinatorial optimisation and coupled simulated annealing
Reliable and Interpretable Mortality Prediction With Strong Foresight in COVID-19 Patients: An International Study From China and Germany
Accuracy improvement in financial sanction screening: is natural language processing the solution?
Assembloid learning: opportunities and challenges for personalized approaches to brain functioning in health and disease
Do generative models learn rare generative factors?
WOAENet: a whale optimization-guided ensemble deep learning with soft voting for uterine cancer diagnosis based on MRI images
Commentary: How to have agency in a pandemic
Comparative analysis of multimodal architectures for effective skin lesion detection using clinical and image data
Search-optimized quantization in biomedical ontology alignment
Opportunities for synthetic data in nature and climate finance
A comprehensive review of machine learning for heart disease prediction: challenges, trends, ethical considerations, and future directions
Are GRU Cells More Specific and LSTM Cells More Sensitive in Motive Classification of Text?
Predicting cardiovascular disease risk using retinal optical coherence tomography imaging
Editorial: Emerging techniques in Arabic natural language processing
Users' Responsiveness to Persuasive Techniques in Recommender Systems
SciLinker: a large-scale text mining framework for mapping associations among biological entities
Toward the appropriate interpretation of Alphafold2
Learning Medical Materials From Radiography Images
Editorial: Explainable artificial intelligence for critical healthcare applications
A drop-out mechanism for active learning based on one-attribute heuristics
AI in humanitarian healthcare: a game changer for crisis response
On Distributed Cognition While Designing an AI System for Adapted Learning
Enhanced plant disease classification with attention-based convolutional neural network using squeeze and excitation mechanism
AI Systems and Respect for Human Autonomy
Inference-Optimized AI and High Performance Computing for Gravitational Wave Detection at Scale
Dynamic-budget superpixel active learning for semantic segmentation
A hybrid framework for enhanced segmentation and classification of colorectal cancer histopathology
Online platform vs. doctors: a comparative exploration of congenital cataract patient education from virtual to reality
Challenges and Prospects in Vision and Language Research
Defining human-AI teaming the human-centered way: a scoping review and network analysis
Persuasive Technology and computational manipulation: hypernudging out of mental self-determination
Visceral condition assessment through digital tongue image analysis
An Attempt to Boost Posterior Population Expansion Using Fast Machine Learning Algorithms
A panoramic view of personalization based on individual differences in persuasive and behavior change interventions
The Impact of Pedagogical Agents' Gender on Academic Learning: A Systematic Review
Short-Term Nationwide Airport Throughput Prediction With Graph Attention Recurrent Neural Network
An explainable dual-modal diagnostic model for coronary artery disease: a feature-gated approach using tongue and facial image features
Minimizing unnecessary tax audits using multi-objective hyperparameter tuning of XGBoost with focal loss
Integrating AI tools in teacher professional learning: a conceptual model and illustrative case
Argument-based inductive logics, with coverage of compromised perception
Ensuring the Robustness and Reliability of Data-Driven Knowledge Discovery Models in Production and Manufacturing
Validation of PARX Models for Default Count Prediction
Training and intrinsic evaluation of lightweight word embeddings for the clinical domain in Spanish
Making sense of transformer success
Self-Explaining Social Robots: An Explainable Behavior Generation Architecture for Human-Robot Interaction
The implementation of artificial intelligence in upper extremity surgery: a systematic review
Using ChatGPT as an assessment tool for medical residents in Mexico: a descriptive experience
Journaling with large language models: a novel UX paradigm for AI-driven personal health management
Machine learning-based analysis of Ebola virus' impact on gene expression in nonhuman primates
Rejected by an AI? Comparing job applicants' fairness perceptions of artificial intelligence and humans in personnel selection
Identifying Ingredient Substitutions Using a Knowledge Graph of Food
InGSA: integrating generalized self-attention in CNN for Alzheimer's disease classification
Identification of Suicidal Ideation in the Canadian Community Health Survey - Mental Health Component Using Deep Learning
Editorial: Probabilistic Perspectives on Brain (Dys)function
Enhancing pre-trained language model by answering natural questions for event extraction
Editorial: Unleashing Innovation on Precision Public Health-Highlights From the MCBIOS and MAQC 2021 Joint Conference
Network Models to Enhance Automated Cryptocurrency Portfolio Management
A modified U-Net to detect real sperms in videos of human sperm cell
One size fits all: Enhanced zero-shot text classification for patient listening on social media
AI-Based Estimation of End-Systolic Elastance From Arm-Pressure and Systolic Time Intervals
Hybrid recurrent with spiking neural network model for enhanced anomaly prediction in IoT networks security
Editorial: Intelligent Conversational Agents
Development of a knowledge graph framework to ease and empower translational approaches in plant research: a use-case on grain legumes
LC-YOLOmatch: a novel scene segmentation approach based on YOLO for laparoscopic cholecystectomy
Twitter data emotion analysis using Hadoop and metaheuristic optimized Graphical Neural Network
Distributed cognition for collaboration between human drivers and self-driving cars
A survey on detecting healthcare concept drift in AI/ML models from a finance perspective
Text summarization method of argumentative discourse by combining the BERT-transformer model
Enhancing COVID-19 classification of X-ray images with hybrid deep transfer learning models
What Does a Language-And-Vision Transformer See: The Impact of Semantic Information on Visual Representations
Editorial: Artificial intelligence techniques for personalized educational software
Development of machine learning algorithms to predict viral load suppression among HIV patients in Conakry (Guinea)
Estimating Successful Internal Mobility: A Comparison Between Structural Equation Models and Machine Learning Algorithms
Exploring the role of generative AI in international students' sociocultural adaptation: a cognitive-affective model
Domain Adaptation Using Convolutional Autoencoder and Gradient Boosting for Adverse Events Prediction in the Intensive Care Unit
Linguistic patterns in pandemic-related content: a comparative analysis of COVID-19, Constraint, and Monkeypox datasets
Interpreting CNN models for musical instrument recognition using multi-spectrogram heatmap analysis: a preliminary study
Listener Modeling and Context-Aware Music Recommendation Based on Country Archetypes
Sources of Microtemporal Clustering in Sociolinguistic Sequences
Using machine learning models to predict post-revascularization thrombosis in PAD
Epistemic limits of local interpretability in self-modulating cognitive architectures
ChatGPT: perspectives from human-computer interaction and psychology
Active learning with human heuristics: an algorithm robust to labeling bias
Biomimicry as a decision-making methodology in condition monitoring
A synthetic segmentation dataset generator using a 3D modeling framework and raycaster: a mining industry application
AI for scientific integrity: detecting ethical breaches, errors, and misconduct in manuscripts
BioVDB: biological vector database for high-throughput gene expression meta-analysis
A data-driven approach for the partial reconstruction of individual human molar teeth using generative deep learning
Deep learning for cardiovascular management: optimizing pathways and cost control under diagnosis-related group models
Dissemination Dynamics of Receding Words: A Diachronic Case Study of Whom
Ps and Qs: Quantization-Aware Pruning for Efficient Low Latency Neural Network Inference
Language writ large: LLMs, ChatGPT, meaning, and understanding
Semantics in High-Dimensional Space
Artificial intelligence and machine learning applications for cultured meat
Traditional vs. AI-generated meteorological risks for emergency predictions
A quantum-inspired, biomimetic, and fractal framework for self-healing AI code generation: bridging responsible automation and emergent intelligence
Classification prediction of load losses in power stations using machine learning multilayer stack ensemble
A conceptual exploration of generative AI-induced cognitive dissonance and its emergence in university-level academic writing