yusuke1997/dblp-id-title huggingface dataset:
Stochastic Learning in Kolkata Paise Restaurant Problem: Classical and Quantum Strategies
Editorial: Advances and challenges in AI-driven visual intelligence: bridging theory and practice
Educational Automatic Question Generation Improves Reading Comprehension in Non-native Speakers: A Learner-Centric Case Study
The energy challenges of artificial superintelligence
Prediction, Knowledge, and Explainability: Examining the Use of General Value Functions in Machine Knowledge
Evaluation of Goal Recognition Systems on Unreliable Data and Uninspectable Agents
Explainable machine learning to predict postoperative ileus after radical cystectomy: an 11-year real-world cohort
Artificial liver classifier: a new alternative to conventional machine learning models
Exploring gender biases in ML and AI academic research through systematic literature review
The assessment list for trustworthy artificial intelligence: A review and recommendations
Shapley Idioms: Analysing BERT Sentence Embeddings for General Idiom Token Identification
Investigation of deep learning approaches for automated damage diagnostics in fiber metal laminates using Detectron2 and SAM
Stakeholder-centric explanations for black-box decisions: an XAI process model and its application to automotive goodwill assessments
Toward a Taxonomy for Adaptive Data Visualization in Analytics Applications
Explainable online health information truthfulness in Consumer Health Search
Deep learning classification of drainage crossings based on high-resolution DEM-derived geomorphological information
Deep Active Inference and Scene Construction
The role of artificial intelligence in preoperative planning for Total Hip Arthroplasty: a systematic review
Patient-centric knowledge graphs: a survey of current methods, challenges, and applications
A critical look into artificial intelligence and healthcare disparities
Signal Perceptron: On the Identifiability of Boolean Function Spaces and Beyond
Clinical Enhancement in AI-Based Post-processed Fast-Scan Low-Dose CBCT for Head and Neck Adaptive Radiotherapy
Editorial: Explainable artificial intelligence models and methods in finance and healthcare
Cosmic Ray Background Removal With Deep Neural Networks in SBND
A Community-Based Model of Care During the Fourth Wave of the COVID-19 Outbreak in Ho Chi Minh City, Vietnam
Can AI teach me employability? A multi-national study in three countries
Prediction of E. coli Concentrations in Agricultural Pond Waters: Application and Comparison of Machine Learning Algorithms
Profiling investor behavior in the Malaysian derivatives market using K-means clustering
The role of artificial intelligence based systems for cost optimization in colorectal cancer prevention programs
A Quantitative Evaluation of Global, Rule-Based Explanations of Post-Hoc, Model Agnostic Methods
Unveiling the predictive power: a comprehensive study of machine learning model for anticipating chronic kidney disease
Biologically-Inspired Pulse Signal Processing for Intelligence at the Edge
Machine learning: A non-invasive prediction method for gastric cancer based on a survey of lifestyle behaviors
Single Shot Corrective CNN for Anatomically Correct 3D Hand Pose Estimation
Testing an inverse modeling approach with gradient boosting regression for stroke volume estimation using patient thermodilution data
Explaining graph convolutional network predictions for clinicians - An explainable AI approach to Alzheimer's disease classification
Artificial intelligence: clinical applications and future advancement in gastrointestinal cancers
Accelerating human-computer interaction through convergent conditions for LLM explanation
Ocular Biometry OCR: a machine learning algorithm leveraging optical character recognition to extract intra ocular lens biometry measurements
Machine learning approaches to anxiety detection: trends, model evaluation, and future directions
Bone age assessment based on deep neural networks with annotation-free cascaded critical bone region extraction
Phase-specific kidney graft failure prediction with machine learning model
Predicting therapy dropout in chronic pain management: a machine learning approach to cannabis treatment
What is critical for human-centered AI at work? - Toward an interdisciplinary theory
Early-fusion hybrid CNN-transformer models for multiclass ovarian tumor ultrasound classification
ChatGPT in medicine: an overview of its applications, advantages, limitations, future prospects, and ethical considerations
Editorial: Large language models in work and business
Redefining digital health interfaces with large language models
In Search of Ambiguity: A Three-Stage Workflow Design to Clarify Annotation Guidelines for Crowd Workers
Apps for Mental Health: An Evaluation of Behavior Change Strategies and Recommendations for Future Development
An efficient method for early Alzheimer's disease detection based on MRI images using deep convolutional neural networks
Intelligent weight prediction of cows based on semantic segmentation and back propagation neural network
Humanizing AI in medical training: ethical framework for responsible design
Distributional Measures of Semantic Abstraction
Robots in the moral loop: a field study of AI advisors in ethical military decision-making
Early breast cancer detection and differentiation tool based on tissue impedance characteristics and machine learning
Assessing artificial intelligence's impact on e-customer loyalty in the Saudi Arabian market
Integration of AI and ML in regenerative braking for electric vehicles: a review
ExDoRA: enhancing the transferability of large language models for depression detection using free-text explanations
Spectral momentum integration: hybrid optimization of frequency and time domain gradients
Does artificial intelligence kill employment growth: the missing link of corporate AI posture
Artificial intelligence skills and their impact on the employability of university graduates
An Overview of Current Solutions for Privacy in the Internet of Things
Unsupervised Quark/Gluon Jet Tagging With Poissonian Mixture Models
Editorial: Machine learning for cybersecurity
Crop genomic selection with deep learning and environmental data: A survey
XAI-BT-EdgeNet: explainable edge-aware deep learning with squeeze-and-excitation for brain tumor detection and prediction
On Consequentialism and Fairness
An Artificial Intelligence Approach to Regulating Systemic Risk
Forecasting Stock Price Trends by Analyzing Economic Reports With Analyst Profiles
Evaluating a retrieval-augmented pregnancy chatbot: a comprehensibility-accuracy-readability study of the DIAN AI assistant
Editorial: Conversational AI
A comparison of the diagnostic ability of large language models in challenging clinical cases
Comparing Constraints on Contraction Using Bayesian Regression Modeling
Swipe, click, regret: an opinion on persuasive e-commerce and consumer autonomy
An Empirical Investigation Into Deep and Shallow Rule Learning
Lung Cancer Segmentation With Transfer Learning: Usefulness of a Pretrained Model Constructed From an Artificial Dataset Generated Using a Generative Adversarial Network
Models of Language and Multiword Expressions
Improving Robotic Hand Prosthesis Control With Eye Tracking and Computer Vision: A Multimodal Approach Based on the Visuomotor Behavior of Grasping
Analyzing classification and feature selection strategies for diabetes prediction across diverse diabetes datasets
Spatial Regression Models to Improve P2P Credit Risk Management
Enhanced sleep staging with artificial intelligence: a validation study of new software for sleep scoring
Intrinsic motivation in cognitive architecture: intellectual curiosity originated from pattern discovery
Automatic Speech Recognition in Noise for Parkinson's Disease: A Pilot Study
Enhancing educational Q&A systems using a Chaotic Fuzzy Logic-Augmented large language model
Mitigating Issues With/of/for True Personalization
Comparing Plan Recognition Algorithms Through Standard Plan Libraries
AI assistance in enterprise UX design workflows: enhancing design brief creation for designers
Artificial intelligence in respiratory care: knowledge, perceptions, and practices - a cross-sectional study
Challenging social media threats using collective well-being-aware recommendation algorithms and an educational virtual companion
Reader's digest version of scientific writing: comparative evaluation of summarization capacity between large language models and medical students in analyzing scientific writing in sleep medicine
Evaluation of large language model-generated medical information on idiopathic pulmonary fibrosis
Improving Crowdsourcing-Based Image Classification Through Expanded Input Elicitation and Machine Learning
Editorial: Artificial intelligence in finance and industry: Highlights from 6 European COST conferences
"The Rodney Dangerfield of Stylistic Devices": End-to-End Detection and Extraction of Vossian Antonomasia Using Neural Networks
A hybrid computational approach to anticipate individuals in sequential problem solving
On Topological Analysis of fs-LIMS Data. Implications for in Situ Planetary Mass Spectrometry
Generating rhythm game music with jukebox
Predictive Modelling of Susceptibility to Substance Abuse, Mortality and Drug-Drug Interactions in Opioid Patients
Mind the semantic gap: semantic efficiency in human computer interfaces
Editorial: Deep learning with limited labeled data for vision, audio, and text
Artificial Intelligence Think Tank: a modern problem-solving framework
A Bayesian Account of Generalist and Specialist Formation Under the Active Inference Framework
A hybrid deep learning framework for SEM-based air pollutant analysis: Mamba integration and GAN-augmented training
CNN-Based LCD Transcription of Blood Pressure From a Mobile Phone Camera
On the Improvement of Default Forecast Through Textual Analysis
The impact of AI on education and careers: What do students think?
Artificial intelligence in ADHD assessment: a comprehensive review of research progress from early screening to precise differential diagnosis
Moving LLM evaluation forward: lessons from human judgment research
Editorial: Artificial Intelligence in Finance and Industry: volume II - highlights from the 7th European conference
Artificial intelligence as the new frontier in chemical risk assessment
Graph neural networks with configuration cross-attention for tensor compilers
Matrix Profile-Based Interpretable Time Series Classifier
SAMI: an M-Health application to telemonitor intelligibility and speech disorder severity in head and neck cancers
Corrigendum: Unveiling the predictive power: a comprehensive study of machine learning model for anticipating chronic kidney disease
Online Brand Community User Segments: A Text Mining Approach
A machine learning-driven web application for sign language learning
AI adoption among adolescents in education: extending the UTAUT2 with psychological and contextual factors
Improving text mining in plant health domain with GAN and/or pre-trained language model
Trends and hotspots in research on medical images with deep learning: a bibliometric analysis from 2013 to 2023
Using Crowd-Sourced Speech Data to Study Socially Constrained Variation in Nonmodal Phonation
A Recommender for Research Collaborators Using Graph Neural Networks
Opinion Formation on the Internet: The Influence of Personality, Network Structure, and Content on Sharing Messages Online
Cyberbullying detection approaches for Arabic texts: a systematic literature review
"Better than my professor?" How to develop artificial intelligence tools for higher education
Survey and analysis of hallucinations in large language models: attribution to prompting strategies or model behavior
A computational model for the cancer field effect
Editorial: Business transformation through AI-enabled technologies
Hyperdimensional computing with holographic and adaptive encoder
Corrigendum: Insights Into Co-Morbidity and Other Risk Factors Related to COVID-19 Within Ontario, Canada
Modeling the dynamics of contractual relations
Noise-induced modality-specific pretext learning for pediatric chest X-ray image classification
Balancing Performance and Human Autonomy With Implicit Guidance Agent
Corrigendum: Poultry diseases diagnostics models using deep learning
A short report on deep learning synergy for decentralized smart grid cybersecurity
Learning private equity recommitment strategies for institutional investors
Risk prediction of stroke-associated pneumonia in acute ischemic stroke with atrial fibrillation using machine learning models
Accurate species identification of food-contaminating beetles with quality-improved elytral images and deep learning
Corrigendum: Opportunities for human factors in machine learning
Human-AI teams - Challenges for a team-centered AI at work
There Is Hope After All: Quantifying Opinion and Trustworthiness in Neural Networks
Determining the meter of classical Arabic poetry using deep learning: a performance analysis
Error driven synapse augmented neurogenesis
Functional partitioning through competitive learning
Crowdsourcing Team Formation With Worker-Centered Modeling
Stochastic and deterministic processes in Asymmetric Tsetlin Machine
Generalizable Machine Learning in Neuroscience Using Graph Neural Networks
Artificial Intelligence (AI) in the Financial Sector - Potential and Public Strategies
A multi-center distributed learning approach for Parkinson's disease classification using the traveling model paradigm
Revisiting the role of HR in the age of AI: bringing humans and machines closer together in the workplace
Editorial: Information extraction for health documents
Schrödinger's tree - On syntax and neural language models
NatureKG: an ontology and knowledge graph for nature finance with a Text2Cypher application
A Comparison of Artificial Intelligence and Human Doctors for the Purpose of Triage and Diagnosis
Exploring neural question generation for formal pragmatics: Data set and model evaluation
Enzyme catalytic efficiency prediction: employing convolutional neural networks and XGBoost
Audience-Dependent Explanations for AI-Based Risk Management Tools: A Survey
Real-time crop row detection using computer vision- application in agricultural robots
A hybrid AI approach for predicting academic performance in RBE students
Classification of patients with early-stage multiple sclerosis and healthy controls using kinematic analysis during a dual-task
Machine learning-based classifiers to predict metastasis in colorectal cancer patients
Correction: Artificial intelligence as a tool to enhance social interventions in reducing crime
On the Adaptability of Recurrent Neural Networks for Real-Time Jazz Improvisation Accompaniment
Knowledge sharing in manufacturing using LLM-powered tools: user study and model benchmarking
Deep learning for causal inference using low birth weight in midwife-led continuity care intervention in north Shoa zone, Ethiopia
Interpretable machine learning for predicting pathologic complete response in patients treated with chemoradiation therapy for rectal adenocarcinoma
Comparing emotions in ChatGPT answers and human answers to the coding questions on Stack Overflow
Evaluation of large language model-driven AutoML in data and model management from human-centered perspective
From Lexicon to Flexicon: The Principles of Morphological Transcendence and Lexical Superstates in the Characterization of Words in the Mind
Credit Risk Modeling Using Transfer Learning and Domain Adaptation
Explainable AI and Reinforcement Learning - A Systematic Review of Current Approaches and Trends
Performance analysis of large language models in the domain of legal argument mining
Editorial: Unhealthy language: linguistic investigations of COVID-19 discourse
Unsupervised domain adaptation for the detection of cardiomegaly in cross-domain chest X-ray images
Research on the structure function recognition of PLOS
Addressing Label Sparsity With Class-Level Common Sense for Google Maps
Modeling needs user modeling
Dichotomic Pattern Mining Integrated With Constraint Reasoning for Digital Behavior Analysis
Enhancing accessibility: a multi-level platform for visual question answering in diabetic retinopathy for individuals with disabilities
Evaluating AI decision tools in Ecuador's courts: efficiency, consistency, and uncertainty in legal judgments
Estimating daily semantic segmentation maps of classified ocean eddies using sea level anomaly data from along-track altimetry
Predicting ward transfer mortality with machine learning
FinTech: A New Hedge for a Financial Re-intermediation. Strategy and Risk Perspectives
Emotional prompting amplifies disinformation generation in AI large language models
Assessing the potential for application of machine learning in predicting weather-sensitive waterborne diseases in selected districts of Tanzania
Leveraging diffusion models for unsupervised out-of-distribution detection on image manifold
Supporting Cognition With Modern Technology: Distributed Cognition Today and in an AI-Enhanced Future
Topological Data Analysis of C. elegans Locomotion and Behavior
An Overview of Alphafold's Breakthrough
Cross-validated tree-based models for multi-target learning
Oral squamous cell carcinoma grading classification using deep transformer encoder assisted dilated convolution with global attention
Discovery of Physics From Data: Universal Laws and Discrepancies
Automating parasite egg detection: insights from the first AI-KFM challenge
Catalyzing IVF outcome prediction: exploring advanced machine learning paradigms for enhanced success rate prognostication
Evaluating Personalization: The AB Testing Pitfalls Companies Might Not Be Aware of - A Spotlight on the Automotive Sector Websites
Creating a list of word alignments from parallel Russian simplification data
A Synaptic Pruning-Based Spiking Neural Network for Hand-Written Digits Classification
Computer-vision based automatic rider helmet violation detection and vehicle identification in Indian smart city scenarios using NVIDIA TAO toolkit and YOLOv8
Heart rate prediction with contactless active assisted living technology: a smart home approach for older adults
High Resolution, Annual Maps of Field Boundaries for Smallholder-Dominated Croplands at National Scales
Automated facial characterization and image retrieval by convolutional neural networks
Structural studies of Parvoviridae capsid assembly and evolution: implications for novel AAV vector design
Application of Seq2Seq Models on Code Correction
Leveraging artificial intelligence to optimize COVID-19 robust spread and vaccination roll-out strategies in Southern Africa
Cultivation of human centered artificial intelligence: culturally adaptive thinking in education (CATE) for AI
A Novel Machine Learning Model for Dose Prediction in Prostate Volumetric Modulated Arc Therapy Using Output Initialization and Optimization Priorities
The Turing Teacher: Identifying core attributes for AI learning in K-12
Enhancing e-commerce recommendation systems through approach of buyer's self-construal: necessity, theoretical ground, synthesis of a six-step model, and research agenda
Feature alignment as a generative process
Assessing Banks' Distress Using News and Regular Financial Data
Xputer: bridging data gaps with NMF, XGBoost, and a streamlined GUI experience
When AI speaks like a specialist: ChatGPT-4 in the management of inflammatory bowel disease
A deep learning algorithm to identify carotid plaques and assess their stability
Toward an Integrative Approach for Making Sense Distinctions
How Risk Profiles of Investors Affect Robo-Advised Portfolios
Improving Adversarial Robustness via Attention and Adversarial Logit Pairing
Editorial: Multimodal communication and multimodal computing
Editorial: Text complexity and simplification
The role of AI for MRI-analysis in multiple sclerosis - A brief overview
Heuristic machine learning approaches for identifying phishing threats across web and email platforms
Large language models for closed-library multi-document query, test generation, and evaluation
A Model of Unified Perception and Cognition
A methodology for planning, implementation and evaluation of skills intelligence management - results of a design science project in technology organisations
Implications of causality in artificial intelligence
Editorial: Human-centered AI at work: common ground in theories and methods
Data-driven pit stop decision support for Formula 1 using deep learning models
Employing Explainable AI to Optimize the Return Target Function of a Loan Portfolio
DCM2Net: an improved face recognition model for panoramic stereoscopic videos
How systemic cognition enables epistemic engineering
Enhancing AI microscopy for foodborne bacterial classification using adversarial domain adaptation to address optical and biological variability
Critical thinking in the age of generative AI: implications for health sciences education
Editorial: AI in Healthcare: From Data to Intelligence
Enhancing breast cancer treatment selection through 2TLIVq-ROFS-based multi-attribute group decision making
Generative Models of Brain Dynamics
One or two things we know about concept drift - a survey on monitoring in evolving environments. Part B: locating and explaining concept drift
Contestable AI for criminal intelligence analysis: improving decision-making through semantic modeling and human oversight
DeepHeartCT: A fully automatic artificial intelligence hybrid framework based on convolutional neural network and multi-atlas segmentation for multi-structure cardiac computed tomography angiography image segmentation
DeepAD: A deep learning application for predicting amyloid standardized uptake value ratio through PET for Alzheimer's prognosis
Keep Calm and Do Not Carry-Forward: Toward Sensor-Data Driven AI Agent to Enhance Human Learning
MPAR-RCNN: a multi-task network for multiple person detection with attribute recognition
Addressing Fairness, Bias, and Appropriate Use of Artificial Intelligence and Machine Learning in Global Health
GDP prediction of The Gambia using generative adversarial networks
Application progress of artificial intelligence in tumor diagnosis and treatment
A fuzzy system for detection of road slipperiness in Arctic snowy conditions using LiDAR
Behaviour Recognition with Kinodynamic Planning Over Continuous Domains
Toward "English" Phonetics: Variability in the Pre-consonantal Voicing Effect Across English Dialects and Speakers
Poultry diseases diagnostics models using deep learning
Swedish Medical LLM Benchmark: development and evaluation of a framework for assessing large language models in the Swedish medical domain
Deep Q-Managed: a new framework for multi-objective deep reinforcement learning
Integration of machine learning with complex industrial mining systems for reduced energy consumption
Towards Adaptive Information Visualization - A Study of Information Visualization Aids and the Role of User Cognitive Style
Co-Inference of Data Mislabelings Reveals Improved Models in Genomics and Breast Cancer Diagnostics
Challenges of Developing Robust AI for Intrapartum Fetal Heart Rate Monitoring
Research agenda for algorithmic fairness studies: Access to justice lessons for interdisciplinary research
Artificial intelligence applied to analyzes during the pandemic: COVID-19 beds occupancy in the state of Rio Grande do Norte, Brazil
Social Networks of Lexical Innovation. Investigating the Social Dynamics of Diffusion of Neologisms on Twitter
Explainable correlation-based anomaly detection for Industrial Control Systems
Software engineering education in the era of conversational AI: current trends and future directions
Digital microscopy and artificial intelligence could profoundly contribute to malaria diagnosis in elimination settings
Frugal innovation in the business environment: a literature review and future perspectives
Corrigendum: The Autonomous Mind: The Right to Freedom of Thought in the Twenty-First Century
Self-trainable and adaptive sensor intelligence for selective data generation
Image sequence sorting algorithm for commercial tasks
European sovereign debt control through reinforcement learning
Fog computing: a platform for big-data marketing analytics
Explainable Model Fusion for Customer Journey Mapping
Affordance embeddings for situated language understanding