yusuke1997/dblp-id-title huggingface dataset:
Systematic analysis of hepatotoxicity: combining literature mining and AI language models
Tokenization efficiency of current foundational large language models for the Ukrainian language
Managing human-AI collaborations within Industry 5.0 scenarios via knowledge graphs: key challenges and lessons learned
Predicting offer burden to optimize batch sizes in simultaneously expiring kidney offers
Mediating role of Digital Ethics on the impact of Artificial Intelligence Usage and Public Relations Practices: evidence from Malaysia
Accelerating earth science discovery via multi-agent LLM systems
Can chatbots teach us how to behave? Examining assumptions about user interactions with AI assistants and their social implications
Modelling societal preferences for automated vehicle behaviour with ethical goal functions
Editorial: AI and Financial Technology
Teaching Multiple Inverse Reinforcement Learners
A predictive analytics approach to improve telecom's customer retention
StaBle-MambaNet: structure-aware and blur-guided lane detection with Mamba
Toward standardization of GenAI-driven agentic architectures for radio access networks
Argumentation: A calculus for Human-Centric AI
A deep-learning pipeline for the diagnosis and grading of common blinding ophthalmic diseases based on lesion-focused classification model
Prognostics and Health Management of Industrial Assets: Current Progress and Road Ahead
Toward a new AI winter? How diffusion of technological innovation on networks leads to chaotic boom-bust cycles
Quantum Propensity in Economics
DeepSpectrumLite: A Power-Efficient Transfer Learning Framework for Embedded Speech and Audio Processing From Decentralized Data
Nonlinear Noise Cleaning in Gravitational-Wave Detectors With Convolutional Neural Networks
Conditional autoencoder pre-training and optimization algorithms for personalized care of hemophiliac patients
DeepCarc: Deep Learning-Powered Carcinogenicity Prediction Using Model-Level Representation
AI alignment is all your need for future drug discovery
CLIP knows image aesthetics
Adjusting for Conditional Bias in Process Model Simulations of Hydrological Extremes: An Experiment Using the North Wyke Farm Platform
Dual-channel deep graph convolutional neural networks
Collocations in Parsing and Translation
Explainable AI for Data-Driven Feedback and Intelligent Action Recommendations to Support Students Self-Regulation
David vs. Goliath: comparing conventional machine learning and a large language model for assessing students' concept use in a physics problem
Characterising Online News Comments: A Multi-Dimensional Cruise Through Online Registers
Interpretable neural networks: principles and applications
Predicting the risk of hospital readmissions using a machine learning approach: a case study on patients undergoing skin procedures
An Interpretable Predictive Model of Vaccine Utilization for Tanzania
Testing the applicability of a governance checklist for high-risk AI-based learning outcome assessment in Italian universities under the EU AI act annex III
Legal linguistic templates and the tension between legal knowledge representation and reasoning
QF-TraderNet: Intraday Trading via Deep Reinforcement With Quantum Price Levels Based Profit-And-Loss Control
Strategic technological innovation through ChatMu: transforming information accessibility in Muhammadiyah
Deep learning in gonarthrosis classification: a comparative study of model architectures and single vs. multi-model methods
Active feature elicitation: An unified framework
Impact on bias mitigation algorithms to variations in inferred sensitive attribute uncertainty
Interlocutors' Age Impacts Teenagers' Online Writing Style: Accommodation in Intra- and Intergenerational Online Conversations
Real-time sleep disorder monitoring design using dynamic temporal graphs with facial and acoustic feature fusion
The automated Greulich and Pyle: a coming-of-age for segmental methods?
Sequence-to-sequence pretraining for a less-resourced Slovenian language
A United States Fair Lending Perspective on Machine Learning
MAD-Onto: an ontology design for mobile app development
Editorial: Explainable, Trustworthy, and Responsible AI for the Financial Service Industry
Vision-language models for medical report generation and visual question answering: a review
The imperative of diversity and equity for the adoption of responsible AI in healthcare
Advances in Completely Automated Vowel Analysis for Sociophonetics: Using End-to-End Speech Recognition Systems With DARLA
Towards enhanced creativity in fashion: integrating generative models with hybrid intelligence
Deep Learning and its Application for Healthcare Delivery in Low and Middle Income Countries
First Organoid Intelligence (OI) workshop to form an OI community
A risk identification model for detection of patients at risk of antidepressant discontinuation
Liver cancer knowledge graph construction based on dynamic entity replacement and masking strategies RoBERTa-wwm-large-BiLSTM-CRF model with clinical Chinese EMRs
Construction of medical scientific data repositories in China: analysis of survey and recommendations
Novel machine learning models for the prediction of acute respiratory distress syndrome after liver transplantation
Medical reasoning in LLMs: an in-depth analysis of DeepSeek R1
Fostering effective hybrid human-LLM reasoning and decision making
Generative AI cybersecurity and resilience
Multi-scale and deeply supervised network for image splicing localization
GDP Forecasting: Machine Learning, Linear or Autoregression?
Toward Sharing Brain Images: Differentially Private TOF-MRA Images With Segmentation Labels Using Generative Adversarial Networks
Editorial: Advances in Goal, Plan and Activity Recognition
Editorial: Artificial Intelligence for Precision Medicine
Construction of a diagnostic model for temporal lobe epilepsy using interpretable deep learning: disease-associated markers identification
EXP-Crowd: A Gamified Crowdsourcing Framework for Explainability
A novel deep learning technique for multi classify Alzheimer disease: hyperparameter optimization technique
Phenology analysis for trait prediction using UAVs in a MAGIC rice population with different transplanting protocols
Compact Neural Architecture Designs by Tensor Representations
Automated quantification of penile curvature using artificial intelligence
Topology Applied to Machine Learning: From Global to Local
Extended Goal Recognition: Lessons from Magic
Shape modeling of longitudinal medical images: from diffeomorphic metric mapping to deep learning
An Analysis of Music Perception Skills on Crowdsourcing Platforms
Artificial Creativity: from predictive AI to Generative System 3
Corrigendum: The impact of pedagogical agents' gender on academic learning: a systematic review
Advanced interpretable diagnosis of Alzheimer's disease using SECNN-RF framework with explainable AI
Rule Extraction From Binary Neural Networks With Convolutional Rules for Model Validation
Artificial intelligence at work: The problem of managerial control from call centers to transport platforms
Analysis of social metrics on scientific production in the field of emotion-aware education through artificial intelligence
Corrigendum: Contextual emotion detection in images using deep learning
Arabic speech recognition model using Baidu's deep and cluster learning
Identifying geopolitical event precursors using attention-based LSTMs
Perception in Black and White: Effects of Intonational Variables and Filtering Conditions on Sociolinguistic Judgments With Implications for ASR
Stylistic variation across English translations of Chinese science fiction: Ken Liu versus ChatGPT
Adaptive consensus optimization in blockchain using reinforcement learning and validation in adversarial environments
Smart grading of diabetic retinopathy: an intelligent recommendation-based fine-tuned EfficientNetB0 framework
From service design thinking to the third generation of activity theory: a new model for designing AI-based decision-support systems
Rationalization for explainable NLP: a survey
Backchannel Behavior Influences the Perceived Personality of Human and Artificial Communication Partners
Using synthetic dataset for semantic segmentation of the human body in the problem of extracting anthropometric data
The weaponization of artificial intelligence: What the public needs to be aware of
Image Completion in Embedded Space Using Multistage Tensor Ring Decomposition
Discriminative context-aware network for camouflaged object detection
A novel approach to Indian bird species identification: employing visual-acoustic fusion techniques for improved classification accuracy
AI-Empowered Computational Examination of Chest Imaging for COVID-19 Treatment: A Review
Correction: AI for scientific integrity: detecting ethical breaches, errors, and misconduct in manuscripts
I Need a CAVAA: How Conversational Agent Voting Advice Applications (CAVAAs) Affect Users' Political Knowledge and Tool Experience
Trends in EEG signal feature extraction applications
OralImmunoAnalyser: a software tool for immunohistochemical assessment of oral leukoplakia using image segmentation and classification models
A tale of two lexica: Investigating computational pressures on word representation with neural networks
A unified Foot and Mouth Disease dataset for Uganda: evaluating machine learning predictive performance degradation under varying distributions
Assuring assistance to healthcare and medicine: Internet of Things, Artificial Intelligence, and Artificial Intelligence of Things
ML-based validation of experimental randomization in learning games
Application of Video-to-Video Translation Networks to Computational Fluid Dynamics
Integrating 4E cognition with science and technology studies: a framework for understanding AI applications
A hybrid deep learning-based approach for optimal genotype by environment selection
A Dynamic Representation Solution for Machine Learning-Aided Performance Technology
Nudging Healthy Choices in Food Search Through Visual Attractiveness
Construction and validation of a method for automated time label segmentation of heart sounds
A novel interpretable and real-time dengue prediction framework using clinical blood parameters with genetic and GAN-based optimization
Crowdsourcing lexical diversity
XAI-MRI: an ensemble dual-modality approach for 3D brain tumor segmentation using magnetic resonance imaging
Statistical inference for dependence networks in topological data analysis
The Bitcoin as a Virtual Commodity: Empirical Evidence and Implications
Personalized bundle recommendation using preference elicitation and the Choquet integral
Editorial: Perspectives for natural language processing between AI, linguistics and cognitive science
Improving plant disease classification by adaptive minimal ensembling
Detecting early gastrointestinal polyps in histology and endoscopy images using deep learning
Expandable-RCNN: toward high-efficiency incremental few-shot object detection
Spectral Entropic Radiomics Feature Extraction (SERFE): an adaptive approach for glioblastoma disease classification
A brief reference to AI-driven audible reality (AuRa) in open world: potential, applications, and evaluation
Detecting and identifying the reasons for deleted tweets before they are posted
Bridging the gap: a practical step-by-step approach to warrant safe implementation of large language models in healthcare
Morphology in a Parallel, Distributed, Interactive Architecture of Language Production
A multidimensional comparison of ChatGPT, Google Translate, and DeepL in Chinese tourism texts translation: fidelity, fluency, cultural sensitivity, and persuasiveness
Limiting medical certainties? Funding challenges for German and comparable public healthcare systems due to AI prediction and how to address them
Does business news sentiment matter in the energy stock market? Adopting sentiment analysis for short-term stock market prediction in the energy industry
Radical Knowledge Management: Using Lessons Learned From Artists to Create Sustainable Workplaces
Knowledge Models as Teaching Aid for Training Intensity Modulated Radiation Therapy Planning: A Lung Cancer Case Study
Kernel Conversion for Robust Quantitative Measurements of Archived Chest Computed Tomography Using Deep Learning-Based Image-to-Image Translation
Linking Linguistic and Geographic Distance in Four Semantic Domains: Computational Geo-Analyses of Internal and External Factors in a Dialect Continuum
Explainable AI-driven depression detection from social media using natural language processing and black box machine learning models
An Integrated World Modeling Theory (IWMT) of Consciousness: Combining Integrated Information and Global Neuronal Workspace Theories With the Free Energy Principle and Active Inference Framework; Toward Solving the Hard Problem and Characterizing Agentic Causation
Editorial: Biomedical informatics applications in rare diseases
Effective methods and framework for energy-based local learning of deep neural networks
Federated learning for cognitive impairment detection using speech data
LLMCARE: early detection of cognitive impairment via transformer models enhanced by LLM-generated synthetic data
Descriptor Free QSAR Modeling Using Deep Learning With Long Short-Term Memory Neural Networks
Sequence labeling via reinforcement learning with aggregate labels
Large language models can help boost food production, but be mindful of their risks
Deep skin diseases diagnostic system with Dual-channel Image and Extracted Text
Speech phoneme and spectral smearing based non-invasive COVID-19 detection
Explaining pretrained language models' understanding of linguistic structures using construction grammar
Optimal blending of multiple independent prediction models
Recursive Metropolis-Hastings naming game: symbol emergence in a multi-agent system based on probabilistic generative models
Grouped semantic-feature relation extraction from texts to represent medicinal-plant property knowledge on social media
Explainable detection: a transformer-based language modeling approach for Bengali news title classification with comparative explainability analysis using ML and DL
Sentiment Analysis of Students' Feedback in MOOCs: A Systematic Literature Review
Innova4Health: an integrated approach for prevention of recurrence and personalized treatment of Major Depressive Disorder
Deep treasury management for banks
Smart match: revolutionizing organ allocation through artificial intelligence
Wearable sensors based on artificial intelligence models for human activity recognition
Physician perceptions of artificial intelligence in Northern Italy healthcare: a survey of fears and expectations
Subtle changes on electrocardiogram in severe patients with COVID-19 may be predictors of treatment outcome
Dairy DigiD: a keypoint-based deep learning system for classifying dairy cattle by physiological and reproductive status
The Autonomous Mind: The Right to Freedom of Thought in the Twenty-First Century
Measuring the effects of pedagogical agent cognitive and affective feedback on students' academic performance
Augmenting Semantic Lexicons Using Word Embeddings and Transfer Learning
Correction: Artificial intelligence-enhanced assessment of fundamental motor skills: validity and reliability of the FUS test for jumping rope performance
The Promise of AI for DILI Prediction
Machine learning-based detection of cognitive decline using SSWTRT: classification performance and decision analysis
Adolescents' use and perceived usefulness of generative AI for schoolwork: exploring their relationships with executive functioning and academic achievement
Deep learning analysis of exercise stress electrocardiography for identification of significant coronary artery disease
Perceptions of Artificial Intelligence Among Healthcare Staff: A Qualitative Survey Study
Disembodied creativity in generative AI: prima facie challenges and limitations of prompting in creative practice
SPEMix: a lightweight method via superclass pseudo-label and efficient mixup for echocardiogram view classification
AI for Anglophone Africa: Unlocking its adoption for responsible solutions in academia-private sector
HAWKFOG-an enhanced deep learning framework for the Fog-IoT environment
AI in conjunctivitis research: assessing ChatGPT and DeepSeek for etiology, intervention, and citation integrity via hallucination rate analysis
Bone fracture detection - Can artificial intelligence replace doctors in orthopedic radiography analysis?
A Survey on Human Cancer Categorization Based on Deep Learning
Editorial: AI and Healthcare Financial Management (HFM) towards sustainable development
Mobile robotics in smart farming: current trends and applications
Correction: Phenology analysis for trait prediction using UAVs in a MAGIC rice population with different transplanting protocols
Accurate V2X traffic prediction with deep learning architectures
Predicting the risk of depression in older adults with disability using machine learning: an analysis based on CHARLS data
Ethics dumping in artificial intelligence
OLTW-TEC: online learning with sliding windows for text classifier ensembles
Editorial: Artificial intelligence education & governance -human enhancive, culturally sensitive and personally adaptive HAI
Adapting emotional support in teams: productivity, emotional stability, and conscientiousness
Intersemiotic translation of contracts into digital environments
Large language models for intelligent RDF knowledge graph construction: results from medical ontology mapping
Symptom Prediction and Mortality Risk Calculation for COVID-19 Using Machine Learning
COVID-19 lateral flow test image classification using deep CNN and StyleGAN2
Predicting Tissue-Specific mRNA and Protein Abundance in Maize: A Machine Learning Approach
Leveraging artificial intelligence to explore gendered patterns in financial literacy among teachers in academia
General-Purpose Bayesian Tensor Learning With Automatic Rank Determination and Uncertainty Quantification
Planning as Inference in Epidemiological Dynamics Models
Editorial: Financial Intermediation Versus Disintermediation: Opportunities and Challenges in the FinTech Era
CoViNAR: a context-aware social media dataset for pandemic severity level prediction and analysis
A framework for extending co-creative communication models to sustainability research
Phenotype clustering in health care: A narrative review for clinicians
Exploring how AI adoption in the workplace affects employees: a bibliometric and systematic review
Assessment of a Spatiotemporal Deep Learning Approach for Soil Moisture Prediction and Filling the Gaps in Between Soil Moisture Observations
Towards Computational Modeling of Human Goal Recognition
Technology innovation to reduce health inequality in skin diagnosis and to improve patient outcomes for people of color: a thematic literature review and future research agenda
IRC-Safe Graph Autoencoder for Unsupervised Anomaly Detection
A machine learning model to predict heart failure readmission: toward optimal feature set
Legal framework for the coexistence of humans and conscious AI
Automated Page Turner for Musicians
Enhanced vehicle routing for medical waste management via hybrid deep reinforcement learning and optimization algorithms
A deterministic large language model (LLM) framework for safe, protocol-adherent clinical decision support: application in hemodialysis anemia management (AnemiaCare HDs)
Sketching the vision of the Web of Debates
Fall risk prediction using temporal gait features and machine learning approaches
Shaping integrity: why generative artificial intelligence does not have to undermine education
Supporting long-term condition management: a workflow framework for the co-development and operationalization of machine learning models using electronic health record data insights
AI can empower agriculture for global food security: challenges and prospects in developing nations
A psycholinguistic NLP framework for forensic text analysis of deception and emotion
Tuning Fairness by Balancing Target Labels
Inside out: transforming images of lab-grown plants for machine learning applications in agriculture
Detection of cloned voices in realistic forensic voice comparison scenarios
Corrigendum: mPD-APP: a mobile-enabled plant diseases diagnosis application using convolutional neural network toward the attainment of a food secure world
Food/Non-Food Classification of Real-Life Egocentric Images in Low- and Middle-Income Countries Based on Image Tagging Features
Cross-dialectal Arabic translation: comparative analysis on large language models
Study on the impact of digital countryside construction on fostering sports industry development: based on the moderating role of market-oriented factor allocation and the mediating role of rural consumption upgrade
Dense Paraphrasing for multimodal dialogue interpretation
A review on the efficacy of artificial intelligence for managing anxiety disorders
Data augmentation via diffusion model to enhance AI fairness
Applied artificial intelligence in dentistry: emerging data modalities and modeling approaches
Adaptive Initialization Method for K-Means Algorithm
Semantic Integration of Multi-Modal Data and Derived Neuroimaging Results Using the Platform for Imaging in Precision Medicine (PRISM) in the Arkansas Imaging Enterprise System (ARIES)
Adaptive noise-augmented attention for enhancing Transformer fine-tuning on longitudinal medical data
A Pattern-Based Method for Medical Entity Recognition From Chinese Diagnostic Imaging Text
Application of artificial intelligence in mine ventilation: a brief review
Automatic classification of signal regions in 1H Nuclear Magnetic Resonance spectra
Transparency of AI in Healthcare as a Multilayered System of Accountabilities: Between Legal Requirements and Technical Limitations
On Consensus-Optimality Trade-offs in Collaborative Deep Learning
Evaluation of the accuracy and repeatability of Deepseek V3, Doubao, and Kimi1.5 in answering knowledge-related queries about chronic non-bacterial osteitis
A review of data abstraction
Deep learning for steganalysis: evaluating model robustness against image transformations
Deep learning models for the early detection of maize streak virus and maize lethal necrosis diseases in Tanzania
Machine translation and foreign language education
Using machine learning for healthcare treatment planning
A geometric semantic model and Parts-of-Sense Inference annotation framework
Editorial: Artificial intelligence in visual inspection
Exploring security threats and solutions Techniques for Internet of Things (IoT): from vulnerabilities to vigilance
Ethical implications of ChatGPT and other large language models in academia
Beyond the Benchmarks: Toward Human-Like Lexical Representations
Population health management of human phenotype ontology
Counterfactual learning in enhancing resilience in autonomous agent systems
Advancing engineering research through context-aware and knowledge graph-based retrieval-augmented generation
Semantic and pragmatic precision in conversational AI systems
Biologically inspired hybrid model for Alzheimer's disease classification using structural MRI in the ADNI dataset
FMEA based prescriptive model for equipment repair guidance
Classification of user queries according to a hierarchical medical procedure encoding system using an ensemble classifier
MixTrain: accelerating DNN training via input mixing
Enhancing diagnostic accuracy in symptom-based health checkers: a comprehensive machine learning approach with clinical vignettes and benchmarking
A review on artificial intelligence for the diagnosis of fractures in facial trauma imaging
Artificial intelligence-, organoid-, and organ-on-chip-powered models to improve pre-clinical animal testing of vaccines and immunotherapeutics: potential, progress, and challenges
CowMesh: a data-mesh architecture to unify dairy industry data for prediction and monitoring
BioBricks.ai: a versioned data registry for life sciences data assets
The sociolinguistic foundations of language modeling
Artificial Intelligence for Prognostic Scores in Oncology: a Benchmarking Study
Navigating ethical minefields: a multi-stakeholder approach to assessing interconnected risks in generative AI using grey DEMATEL