yusuke1997/dblp-id-title huggingface dataset:
EmotionNet Nano: An Efficient Deep Convolutional Neural Network Design for Real-Time Facial Expression Recognition
Cross Country Determinants of Investors' Sentiments Prediction in Emerging Markets Using ANN
Size Matters: Digital Social Networks and Language Change
Issues of AI and human resource development: applications in education and the arts
AI-assisted human clinical reasoning in the ICU: beyond "to err is human"
Multi-agent systems powered by large language models: applications in swarm intelligence
Declarative Learning-Based Programming as an Interface to AI Systems
Artificial intelligence-based framework for early detection of heart disease using enhanced multilayer perceptron
Generative Adversarial Phonology: Modeling Unsupervised Phonetic and Phonological Learning With Neural Networks
Computational Modeling of Stereotype Content in Text
Explainable person-job recommendations: challenges, approaches, and comparative analysis
Conversational AI agent for precision oncology: AI-HOPE-WNT integrates clinical and genomic data to investigate WNT pathway dysregulation in colorectal cancer
Anomaly detection via Gumbel Noise Score Matching
Safer not to know? Shaping liability law and policy to incentivize adoption of predictive AI technologies in the food system
Artificial intelligence approaches for tinnitus diagnosis: leveraging high-frequency audiometry data for enhanced clinical predictions
"Snake flu," "killer bug," and "Chinese virus": A corpus-assisted critical discourse analysis of lexical choices in early UK press coverage of the COVID-19 pandemic
Application of human-in-the-loop hybrid augmented intelligence approach in security inspection system
Minimal reduct for propositional circumscription
Fluence Map Prediction Using Deep Learning Models - Direct Plan Generation for Pancreas Stereotactic Body Radiation Therapy
Image-text coherence and its implications for multimodal AI
Regulating Ruminative Web Browsing Based on the Counterbalance Modeling Approach
Management of scientific and ancestral knowledge: a decision-making model in mezcal industry in Mexico
Deep learning and explainable AI for classification of potato leaf diseases
Survival prediction landscape: an in-depth systematic literature review on activities, methods, tools, diseases, and databases
Is AI a functional equivalent to expertise in organizations and decision-making? Opportunities and pitfalls for AI in the context of just transitions
Evolving Musical Sight Reading Exercises Using Expert Models
Hate speech detection in the Arabic language: corpus design, construction, and evaluation
Co-Learning: code learning for multi-agent reinforcement collaborative framework with conversational natural language interfaces
Parallel joint encoding for drone-view object detection under low-light conditions
Tracing the Phonetic Space of Prosodic Focus Marking
DeepSeek vs. ChatGPT: prospects and challenges
Correction: Predicting the risk of depression in older adults with disability using machine learning: an analysis based on CHARLS data
DeepCausality: A general AI-powered causal inference framework for free text: A case study of LiverTox
Enhanced fingerprint classification through modified PCA with SVD and invariant moments
Coronavirus diagnosis using cough sounds: Artificial intelligence approaches
Editorial: Music and AI
Targeted Screening for Alzheimer's Disease Clinical Trials Using Data-Driven Disease Progression Models
AI-enabled workforce integration: blended human resource contribution rate in Chinese companies
Achieving descriptive accuracy in explanations via argumentation: The case of probabilistic classifiers
Non-linearity of Metabolic Pathways Critically Influences the Choice of Machine Learning Model
What Makes Artificial Intelligence Exceptional in Health Technology Assessment?
Beyond the stereotypes: Artificial Intelligence image generation and diversity in anesthesiology
Machine learning techniques for predicting neurodevelopmental impairments in premature infants: a systematic review
Exploring the utilization and deficiencies of Generative Artificial Intelligence in students' cognitive and emotional needs: a systematic mini-review
An overview of pink eye infection to evaluate its medications: group decision-making approach with 2-tuple linguistic T-spherical fuzzy WASPAS method
Fetal Organ Anomaly Classification Network for Identifying Organ Anomalies in Fetal MRI
Use of AI to assess COVID-19 variant impacts on hospitalization, ICU, and death
AI-powered creative stimulus: the ascent of virtual virtuoso entrepreneurship
The Test Pyramid 2.0: AI-assisted testing across the pyramid
Air pollution particulate matter (PM2.5) prediction in South African cities using machine learning techniques
Sentiment interpretability analysis on Chinese texts employing multi-task and knowledge base
A Chinese question and answer system for liver cancer based on knowledge graph and large language mode
The extended hollowed mind: why foundational knowledge is indispensable in the age of AI
NC 4.0, a Novel Approach to Nonconformities Management: Prioritizing Events With Risk Management Tools
A multi-model longitudinal assessment of ChatGPT performance on medical residency examinations
Accurately predicting hit songs using neurophysiology and machine learning
Editorial: Financial intermediation versus disintermediation: opportunities and challenges in the FinTech era, volume II
Predictive keywords: Using machine learning to explain document characteristics
Human-like problem-solving abilities in large language models using ChatGPT
Self-Organising Map Based Framework for Investigating Accounts Suspected of Money Laundering
Irrationality in humans and creativity in AI
A hype-adjusted probability measure for NLP stock return forecasting
Self-Net: Lifelong Learning via Continual Self-Modeling
Predicting disease onset from electronic health records for population health management: a scalable and explainable Deep Learning approach
Identification of Scams in Initial Coin Offerings With Machine Learning
On the use of sentiment analysis for linguistics research. Observations on sentiment polarity and the use of the progressive in Italian
It's not just a phase: Investigating text simplification in a second language from a process and product perspective
Probing for consciousness in machines
Artificial intelligence assisted acute patient journey
Reduction of Survey Sites in Dialectology: A New Methodology Based on Clustering
Machine learning algorithms for predicting determinants of COVID-19 mortality in South Africa
Contextual emotion detection in images using deep learning
Financial Risk Management and Explainable, Trustworthy, Responsible AI
Emulation of Cosmological Mass Maps with Conditional Generative Adversarial Networks
Exploring the performance of automatic speaker recognition using twin speech and deep learning-based artificial neural networks
Visible neural networks for multi-omics integration: a critical review
Deep Learnability: Using Neural Networks to Quantify Language Similarity and Learnability
Graph embedding and geometric deep learning relevance to network biology and structural chemistry
Meta-learner-based frameworks for interpretable email spam detection
Human-annotated rationales and explainable text classification: a survey
Toward the Impact of Non-pharmaceutical Interventions and Vaccination on the COVID-19 Pandemic With Time-Dependent SEIR Model
Attention-based speech feature transfer between speakers
A Proxy for Detecting IUGR Based on Gestational Age Estimation in a Guatemalan Rural Population
Transfer learning for predicting of gross domestic product growth based on remittance inflows using RNN-LSTM hybrid model: a case study of The Gambia
Gender and content bias in Large Language Models: a case study on Google Gemini 2.0 Flash Experimental
A review of machine learning in scanpath analysis for passive gaze-based interaction
GAAPO: genetic algorithmic applied to prompt optimization
Jersey number detection using synthetic data in a low-data regime
From Llama to language: prompt-engineering allows general-purpose artificial intelligence to rate narratives like expert psychologists
Revisiting the political biases of ChatGPT
Agent-Supported Peer Collaboration in MOOCs
Artificial intelligence in healthcare: combining deep learning and Bayesian optimization to forecast COVID-19 confirmed cases
Models of Intervention: Helping Agents and Human Users Avoid Undesirable Outcomes
Enhanced YOLOv8 for industrial polymer films: a semi-supervised framework for micron-scale defect detection
Equipping AI-decision-support-systems with emotional capabilities? Ethical perspectives
Interpretability With Accurate Small Models
Editorial: Semantics and natural language processing in agriculture
Recognizing protected and anthropogenic patterns in landscapes using interpretable machine learning and satellite imagery
Machine learning-based prediction of hospital prolonged length of stay admission at emergency department: a Gradient Boosting algorithm analysis
Machine learning enhanced acute heart failure phenotype prediction using natural language processing and random forest
Artificial intelligence vs. evolving super-complex tumor intelligence: critical viewpoints
Low-rank human-like agents are trusted more and blamed less in human-autonomy teaming
Using Word Embeddings to Learn a Better Food Ontology
Knowledge and attitudes of medical students in Lebanon toward artificial intelligence: A national survey study
Kernelized Heterogeneity-Aware Cross-View Face Recognition
Guiding principles and proposed classification system for the responsible adoption of artificial intelligence in scientific writing in medicine
Trends in Persuasive Technologies for Physical Activity and Sedentary Behavior: A Systematic Review
Assessing large language models as assistive tools in medical consultations for Kawasaki disease
Data-Driven Discovery of Mathematical and Physical Relations in Oncology Data Using Human-Understandable Machine Learning
Design Implications for Explanations: A Case Study on Supporting Reflective Assessment of Potentially Misleading Videos
BERT-Based Natural Language Processing of Drug Labeling Documents: A Case Study for Classifying Drug-Induced Liver Injury Risk
Yes we care!-Certification for machine learning methods through the care label framework
Semi-supervised active learning using convolutional auto- encoder and contrastive learning
Using Facial Landmark Detection on Thermal Images as a Novel Prognostic Tool for Emergency Departments
Editorial: Exploring the power of AI and ML in smart grids: advancements, applications, and challenges
NeuroSim Simulator for Compute-in-Memory Hardware Accelerator: Validation and Benchmark
Integrating collective know-how for multicriteria decision support in agrifood chains - application to cheesemaking
Enhancing portfolio management using artificial intelligence: literature review
Corrigendum: Person-based design and evaluation of MIA, a digital medical interview assistant for radiology
SineKAN: Kolmogorov-Arnold Networks using sinusoidal activation functions
Lung cancer risk prediction using augmented machine learning pipelines with explainable AI
PSO-XnB: a proposed model for predicting hospital stay of CAD patients
Artificial intelligence: promise and peril in achieving the quadruple aim in healthcare
Explainable multilingual and multimodal fake-news detection: toward robust and trustworthy AI for combating misinformation
Community-engaged artificial intelligence: an upstream, participatory design, development, testing, validation, use and monitoring framework for artificial intelligence and machine learning models in the Alaska Tribal Health System
Exploring the surveillance technology discourse: a bibliometric analysis and topic modeling approach
Using large language models to support pre-service teachers mathematical reasoning - an exploratory study on ChatGPT as an instrument for creating mathematical proofs in geometry
The Future of Computational Linguistics: On Beyond Alchemy
Explanatory machine learning for justified trust in human-AI collaboration: Experiments on file deletion recommendations
Resource-efficient fine-tuning of large vision-language models for multimodal perception in autonomous excavators
A survey of COVID-19 detection and prediction approaches using mobile devices, AI, and telemedicine
Grammar-constrained decoding for structured information extraction with fine-tuned generative models applied to clinical trial abstracts
Comparison of 3D and 2D area measurement of acute burn wounds with LiDAR technique and deep learning model
Use of big data from health insurance for assessment of cardiovascular outcomes
Uncertainty quantification in multi-class image classification using chest X-ray images of COVID-19 and pneumonia
The Role of Self-Improving Tutoring Systems in Fostering Pre-Service Teacher Self-Regulated Learning
The mental lexicon: A blueprint for the dictionaries of tomorrow?
Supervised machine learning models for depression sentiment analysis
Application note: TDbasedUFE and TDbasedUFEadv: bioconductor packages to perform tensor decomposition based unsupervised feature extraction
From outputs to insights: a survey of rationalization approaches for explainable text classification
Intelligent Multirobot Navigation and Arrival-Time Control Using a Scalable PSO-Optimized Hierarchical Controller
Ordinal SuStaIn: Subtype and Stage Inference for Clinical Scores, Visual Ratings, and Other Ordinal Data
Prediction of outpatient rehabilitation patient preferences and optimization of graded diagnosis and treatment based on XGBoost machine learning algorithm
Metropolis-Hastings algorithm in joint-attention naming game: experimental semiotics study
Transfer Learning Approaches for Neuroimaging Analysis: A Scoping Review
How We Do Things With Words: Analyzing Text as Social and Cultural Data
Artificial Interactionism: Avoiding Isolating Perception From Cognition in AI
Three-dimensional visualization and navigation for micro-noninvasive uterine fibroid surgery based on MRI and ultrasound image fusion
Configurations of human-centered AI at work: seven actor-structure engagements in organizations
A Matrix-Variate t Model for Networks
Spherical model for Minimalist Machine Learning paradigm in handling complex databases
Editorial: Generative AI in education
Understanding Robustness and Generalization of Artificial Neural Networks Through Fourier Masks
A machine learning framework to classify musculoskeletal injury risk groups in military service members
AI: the Apollo guidance computer of the Exposome moonshot
Hybrid artificial intelligence architectures for automatic text correction in the Kazakh language
A novel technique for detecting sudden concept drift in healthcare data using multi-linear artificial intelligence techniques
An Application of an Embedded Model Estimator to a Synthetic Nonstationary Reservoir Model With Multiple Secondary Variables
Predictive Maintenance for Injection Molding Machines Enabled by Cognitive Analytics for Industry 4.0
Zero-shot style transfer for gesture animation driven by text and speech using adversarial disentanglement of multimodal style encoding
Estimating distribution shifts for predicting cross-subject generalization in electroencephalography-based mental workload assessment
Editorial: Explainable AI in Natural Language Processing
Implementation of a Commitment Machine for an Adaptive and Robust Expected Shortfall Estimation
MedAlmighty: enhancing disease diagnosis with large vision model distillation
Application of artificial intelligence techniques for the profiling of visitors to tourist destinations
Mutual human-robot understanding for a robot-enhanced society: the crucial development of shared embodied cognition
Toward explainable deep learning in healthcare through transition matrix and user-friendly features
Development and evaluation of multimodal AI for diagnosis and triage of ophthalmic diseases using ChatGPT and anterior segment images: protocol for a two-stage cross-sectional study
Advancements, challenges, and future prospects of smart grid technology in India
Weighted Bayesian Belief Network for diabetics: a predictive model
Mixture of prompts learning for vision-language models
Global Syntactic Variation in Seven Languages: Toward a Computational Dialectology
Navigating STEM careers with AI mentors: a new IDP journey
Sentiment analysis for measuring hope and fear from Reddit posts during the 2022 Russo-Ukrainian conflict
Chimera: a block-based neural architecture search framework for event-based object detection
FinFakeBERT: financial fake news detection
Language Models Explain Word Reading Times Better Than Empirical Predictability
Is it time we get real? A systematic review of the potential of data-driven technologies to address teachers' implicit biases
Multimodal driver emotion recognition using motor activity and facial expressions
Opportunities and challenges of using generative AI to personalize educational assessment
Artificial intelligence in traditional medicine: evidence, barriers, and a research roadmap for personalized care
Emerging Grounded Shared Vocabularies Between Human and Machine, Inspired by Human Language Evolution
Editorial: The role of conversational AI in higher education
Artificial intelligence in healthcare text processing: a review applied to named entity recognition
Enhancing Africa's agriculture and food systems through responsible and gender inclusive AI innovation: insights from AI4AFS network
A hybrid long short-term memory with generalized additive model and post-hoc explainable artificial intelligence with causal inference for air pollutants prediction in Kimberley, South Africa
She adapts to her student: An expert pragmatic speaker tailoring her referring expressions to the Layman listener
Impact of Box-Cox Transformation on Machine-Learning Algorithms
Editorial: Hammer or telescope? Challenges and opportunities of science-oriented AI in legal and sociolegal research
State-Aware Deep Item Response Theory using student facial features
The effects of anthropomorphism and multimodal biometric authentication on the user experience of voice intelligence
The application of explainable artificial intelligence methods to models for automatic creativity assessment
Artificial intelligence in the tourism business: a systematic review
Automated Disengagement Tracking Within an Intelligent Tutoring System
AMDCnet: attention-gate-based multi-scale decomposition and collaboration network for long-term time series forecasting
Inclusive Growth in the Era of Automation and AI: How Can Taxation Help?
Introducing the keyconcept approach to the analysis of language: the case of regulation in COVID-19 diaries
Real-Time Inference With 2D Convolutional Neural Networks on Field Programmable Gate Arrays for High-Rate Particle Imaging Detectors
Transforming cataract care through artificial intelligence: an evaluation of large language models' performance in addressing cataract-related queries
Global reform population health management as stewarded by Higher Expert Medical Science Safety (HEMSS)
An Extended UTAUT Model to Explain Factors Affecting Online Learning System Amidst COVID-19 Pandemic: The Case of a Developing Economy
Gender Bias in the News: A Scalable Topic Modelling and Visualization Framework
Breaking the gatekeepers: how AI will revolutionize scientific funding
Pancreatic Cancer Prediction Through an Artificial Neural Network
Quantum pathways for charged track finding in high-energy collisions
The perils and promises of fact-checking with large language models
Balancing accuracy and user satisfaction: the role of prompt engineering in AI-driven healthcare solutions
Multimodal deep learning for liver cancer applications: a scoping review
What is in a food store name? Leveraging large language models to enhance food environment data
A Frequency-Domain Machine Learning Method for Dual-Calibrated fMRI Mapping of Oxygen Extraction Fraction (OEF) and Cerebral Metabolic Rate of Oxygen Consumption (CMRO 2 )
Next generation immuno-oncology tumor profiling using a rapid, non-invasive, computational biophysics biomarker in early-stage breast cancer
Opportunities for human factors in machine learning
Development and validation of an interpretable machine learning for mortality prediction in patients with sepsis
Technostress and generative AI in the workplace: a qualitative analysis of young professionals
AI in business operations: driving urban growth and societal sustainability
Enhanced deep Convolutional Neural Network for SARS-CoV-2 variants classification
Deep Learning of Histopathology Images at the Single Cell Level
Adoption of artificial intelligence and machine learning in banking systems: a qualitative survey of board of directors
Clustering and Recognition of Spatiotemporal Features Through Interpretable Embedding of Sequence to Sequence Recurrent Neural Networks
Efficient incremental training using a novel NMT-SMT hybrid framework for translation of low-resource languages
Fine-tuning a local LLaMA-3 large language model for automated privacy-preserving physician letter generation in radiation oncology
A Unifying Framework for Reinforcement Learning and Planning
Differences between remote and analog design thinking through the lens of distributed cognition
Designing and Evaluating the Usability of a Machine Learning API for Rapid Prototyping Music Technology
Theory of Mind and Preference Learning at the Interface of Cognitive Science, Neuroscience, and AI: A Review
Ethical-legal implications of AI-powered healthcare in critical perspective
Navigating the AI revolution: challenges and opportunities for integrating emerging technologies into knowledge management systems. Systematic literature review
An optimized system for predicting energy usage in smart grids using temporal fusion transformer and Aquila optimizer
Learning to Play the Chess Variant Crazyhouse Above World Champion Level With Deep Neural Networks and Human Data
Enhancing prediction of primary site recurrence in head and neck cancer using radiomics and uncertainty estimation
Initial Coin Offerings: Risk or Opportunity?
Cosmetogenomics unveiled: a systematic review of AI, genomics, and the future of personalized skincare
Predictive digital twin for optimizing patient-specific radiotherapy regimens under uncertainty in high-grade gliomas
Exploring the associative learning capabilities of the segmented attractor network for lifelong learning
Monitoring Weeder Robots and Anticipating Their Functioning by Using Advanced Topological Data Analysis
Algorithmic fairness: challenges to building an effective regulatory regime
Situational perception in distracted driving: an agentic multi-modal LLM framework
Qluster: An easy-to-implement generic workflow for robust clustering of health data
Approach for enhancing the accuracy of semantic segmentation of chest X-ray images by edge detection and deep learning integration
Association of Shanghai air pollution with postoperative infection in adolescent orthopedic patients: a study using a deep learning-based evolutionary model
Stock Price Forecasting by a Deep Convolutional Generative Adversarial Network
Developing a Cancer Digital Twin: Supervised Metastases Detection From Consecutive Structured Radiology Reports
Training humans for synthetic face image detection
Interpreting vision and language generative models with semantic visual priors
Robot Gaze Behavior Affects Honesty in Human-Robot Interaction
Editorial: Computer vision in plant phenotyping and agriculture
Avoiding Conflict: When Speaker Coordination Does Not Require Conceptual Agreement
Understanding Musical Predictions With an Embodied Interface for Musical Machine Learning
Isolated single sound lip-reading using a frame-based camera and event-based camera
Forecasting and Evaluating Multiple Interventions for COVID-19 Worldwide
Benchmarking the influence of pre-training on explanation performance in MR image classification
Enhancing bladder cancer diagnosis through transitional cell carcinoma polyp detection and segmentation: an artificial intelligence powered deep learning solution
Predicting pediatric diagnostic imaging patient no-show and extended wait-times using LLMs, regression, and tree based models