yusuke1997/dblp-id-title huggingface dataset:
The privacy-explainability trade-off: unraveling the impacts of differential privacy and federated learning on attribution methods
Componential Analysis of English Verbs
Deep hybrid model for maternal health risk classification in pregnancy: synergy of ANN and random forest
Evaluation of vision transformers for the detection of fullness of garbage bins for efficient waste management
Augmented intelligence with voice assistance and automated machine learning in Industry 5.0
Cryptographic key generation using deep learning with biometric face and finger vein data
App2: software solution for apple leaf disease detection based on deep learning (CNN+SVM)
There are significant differences among artificial intelligence large language models when answering scientific questions
Editorial: Computational argumentation: a foundation for human-centric AI
Explainability as the key ingredient for AI adoption in Industry 5.0 settings
LegNER: a domain-adapted transformer for legal named entity recognition and text anonymization
Bringing Big Data to Bear in Environmental Public Health: Challenges and Recommendations
Quantitative evaluation of meibomian gland dysfunction via deep learning-based infrared image segmentation
One or two things we know about concept drift - a survey on monitoring in evolving environments. Part A: detecting concept drift
AmericasNLI: Machine translation and natural language inference systems for Indigenous languages of the Americas
Decoding Gen Z: AI's influence on brand trust and purchasing behavior
Federated knee injury diagnosis using few shot learning
Recommendations for ethical and responsible use of artificial intelligence in digital agriculture
A convolutional neural network with image and numerical data to improve farming of edible crickets as a source of food - A decision support system
A lexicon obtained and validated by a data-driven approach for organic residues valorization in emerging and developing countries
Volume Prediction With Neural Networks
Classification of land use/land cover using artificial intelligence (ANN-RF)
VMDU-net: a dual encoder multi-scale fusion network for polyp segmentation with Vision Mamba and Cross-Shape Transformer integration
Machine learning corroborates subjective ratings of walking and balance difficulty in multiple sclerosis
SkyMap: a generative graph model for GNN benchmarking
Constructing Equity Investment Strategies Using Analyst Reports and Regime Switching Models
Integrated ensemble of BERT- and feature-based models for authorship attribution in Japanese literary works
Entropy-adaptive differential privacy federated learning for student performance prediction and privacy protection: a case study in Python programming
The perceived impact of artificial intelligence on academic learning
Share buybacks: a theoretical exploration of genetic algorithms and mathematical optionality
A human-centered automated machine learning agent with large language models for multimodal data management and analysis
Active learning for data efficient semantic segmentation of canine bones in radiographs
Generative Adversarial Networks-Enabled Human-Artificial Intelligence Collaborative Applications for Creative and Design Industries: A Systematic Review of Current Approaches and Trends
Role of artificial intelligence in smart grid - a mini review
Gender-based Alzheimer's detection using ResNet-50 and binary dragonfly algorithm on neuroimaging
Correction: Research on the robustness of the open-world test-time training model
SeismoQuakeGNN: a hybrid framework for spatio-temporal earthquake prediction with transformer-enhanced models
Critical Analysis of Deconfounded Pretraining to Improve Visio-Linguistic Models
Fitting a collider in a quantum computer: tackling the challenges of quantum machine learning for big datasets
Evaluating the impact of common clinical confounders on performance of deep-learning-based sepsis risk assessment
Let Me Take Over: Variable Autonomy for Meaningful Human Control
The MAS4AI framework for human-centered agile and smart manufacturing
Adaptation of convolutional neural networks for real-time abdominal ultrasound interpretation
The history of the semantic hacking project and the lessons it teaches for modern cognitive security
"Part Man, Part Machine, All Cop": Automation in Policing
AI revolution in insurance: bridging research and reality
Configural relations in humans and deep convolutional neural networks
"We are at war": The military rhetoric of COVID-19 in cross-cultural perspective of discourses
Cyberinfrastructure for machine learning applications in agriculture: experiences, analysis, and vision
Exploring the matrix: knowledge, perceptions and prospects of artificial intelligence and machine learning in Nigerian healthcare
The technology acceptance model and adopter type analysis in the context of artificial intelligence
A Machine Learning Approach to Monitor the Emergence of Late Intrauterine Growth Restriction
Machine learning algorithms in microbial classification: a comparative analysis
The potential of learning with (and not from) artificial intelligence in education
Gamma and vega hedging using deep distributional reinforcement learning
Neuronal Sequence Models for Bayesian Online Inference
Comparative performance of large language models in emotional safety classification across sizes and tasks
Applications for open access normalized synthesis in metastatic prostate cancer trials
Mapping cover crop species in southeastern Michigan using Sentinel-2 satellite data and Google Earth Engine
Code generation system based on MDA and convolutional neural networks
Divide and summarize: improve SLM text summarization
Enhancing structured data generation with GPT-4o evaluating prompt efficiency across prompt styles
Machine learning-based mortality prediction in critically ill patients with hypertension: comparative analysis, fairness, and interpretability
The AI trilemma: Saving the planet without ruining our jobs
Hammering with the telescope
Profiling the barriers to the spreading of news using news headlines
Human reconstruction using 3D Gaussian Splatting: a brief survey
Evaluating XAI techniques under class imbalance using CPRD data
The unreasonable effectiveness of large language models in zero-shot semantic annotation of legal texts
Targeting resources efficiently and justifiably by combining causal machine learning and theory
Environment sustainability with smart grid sensor
Blueprint2Code: a multi-agent pipeline for reliable code generation via blueprint planning and repair
Cutting-edge communication and learning assistive technologies for disabled children: An artificial intelligence perspective
Utilizing XGBoosts to correct arcjet contamination in magnetic field measurements from GOES missions
What you see is not what you get anymore: a mixed-methods approach on human perception of AI-generated images
Evaluating the accuracy of ChatGPT in delivering patient instructions for medications: an exploratory case study
Relation is an option for processing context information
COVID-19 and beyond: leveraging artificial intelligence for enhanced outbreak control
Prediction of PD-L1 tumor positive score in lung squamous cell carcinoma with H&E staining images and deep learning
Considering Performance in the Automated and Manual Coding of Sociolinguistic Variables: Lessons From Variable (ING)
Retrospective Inference as a Form of Bounded Rationality, and Its Beneficial Influence on Learning
A Framework for the Computational Linguistic Analysis of Dehumanization
Learning Systems versus Future Everyday Domestic Life: A Designer's Interpretation of Social Practice Imaginaries
Inferior: The Challenges of Gender Parity in the Artificial Intelligence Ecosystem-A Case for Canada
Predicting Cervical Cancer Outcomes: Statistics, Images, and Machine Learning
Artificial intelligence-enhanced assessment of fundamental motor skills: validity and reliability of the FUS test for jumping rope performance
Developing and comparing deep learning and machine learning algorithms for osteoporosis risk prediction
Editorial: Outbreak oracles: how AI's journey through COVID-19 shapes future epidemic strategy
Governing AI in Electricity Systems: Reflections on the EU Artificial Intelligence Bill
A robust approach for endotracheal tube localization in chest radiographs
Stacked ensemble deep learning for pancreas cancer classification using extreme gradient boosting
Deep learning for prediction of post-thrombectomy outcomes based on admission CT angiography in large vessel occlusion stroke
Artificial neural network-assisted prediction of radiobiological indices in head and neck cancer
Combining different points of view on plant descriptions: mapping agricultural plant roles and biological taxa
Statistical and machine learning approaches for identifying biomarker associations in respiratory diseases in a population-specific region
HairSentinel: a time-aware anomaly detection framework for forecasting hairfall trends using temporal fusion transformers
Using Topic Modeling Methods for Short-Text Data: A Comparative Analysis
EQRbot: A chatbot delivering EQR argument-based explanations
Causal contextual bandits with one-shot data integration
Review of Multi-Criteria Decision-Making Methods in Finance Using Explainable Artificial Intelligence
Revolutionizing the construction industry by cutting edge artificial intelligence approaches: a review
Prognostic Value of Transfer Learning Based Features in Resectable Pancreatic Ductal Adenocarcinoma
Exploring the use and perceived impact of artificial intelligence in medical internship: a cross-sectional study of Palestinian doctors
Testing network clustering algorithms with natural language processing
Opinions and attitudes toward artificial intelligence among operating room nurses: a descriptive meta-analysis based on the comparative studies of the different opinions
Advancing smart city factories: enhancing industrial mechanical operations via deep learning techniques
Digital model for monitoring national programs: the Kazakhstan experience
A bird's-eye view of the biological mechanism and machine learning prediction approaches for cell-penetrating peptides
Large language models generating synthetic clinical datasets: a feasibility and comparative analysis with real-world perioperative data
Who are the haters? A corpus-based demographic analysis of authors of hate speech
The Relationship Between Performance and Trust in AI in E-Finance
Human-centered AI through employee participation
Natural language processing in the era of large language models
Data-Driven Prediction of Fatigue in Parkinson's Disease Patients
From data silos to insights: the PRINCE multi-agent knowledge engine for preclinical drug development
Assessment of demographic bias in retinal age prediction machine learning models
Trust Dynamics and Verbal Assurances in Human Robot Physical Collaboration
Evaluating and selecting arguments in the context of higher order uncertainty
Artificial Intelligence and Employment: New Cross-Country Evidence
Synchronizing LLM-based semantic knowledge bases via secure federated fine-tuning in semantic communication
Brain organoids and organoid intelligence from ethical, legal, and social points of view
Artificial intelligence challenges in the face of biological threats: emerging catastrophic risks for public health
Comparison of Structural Parsers and Neural Language Models as Surprisal Estimators
BlendNet: a blending-based convolutional neural network for effective deep learning of electrocardiogram signals
Artificial intelligence in clinical medicine: catalyzing a sustainable global healthcare paradigm
Quantum Prisoner's Dilemma and High Frequency Trading on the Quantum Cloud
Human-centered evaluation of explainable AI applications: a systematic review
Machine learning for improved path loss prediction in urban vehicle-to-infrastructure communication systems
Applied machine learning in intelligent systems: knowledge graph-enhanced ophthalmic contrastive learning with "clinical profile" prompts
PACKETCLIP: multi-modal embedding of network traffic and language for cybersecurity reasoning
Editorial: Bias, Subjectivity and Perspectives in Natural Language Processing
Application of Artificial Intelligence to Plasma Metabolomics Profiles to Predict Response to Neoadjuvant Chemotherapy in Triple-Negative Breast Cancer
Hate speech detection with ADHAR: a multi-dialectal hate speech corpus in Arabic
Precision enhancement in wireless capsule endoscopy: a novel transformer-based approach for real-time video object detection
A reliable approach for identifying acute lymphoblastic leukemia in microscopic imaging
Rise of artificial general intelligence: risks and opportunities
Universal medical image segmentation via in-context cross-attention
"Machine replacement" or "job creation": How does artificial intelligence impact employment patterns in China's manufacturing industry?
The Greatest Challenge to Using AI/ML for Primary Health Care: Mindset or Datasets?
Self-attention with temporal prior: can we learn more from the arrow of time?
Process Mining of Football Event Data: A Novel Approach for Tactical Insights Into the Game
The Singleton Fallacy: Why Current Critiques of Language Models Miss the Point
Facing the Challenges of Developing Fair Risk Scoring Models
A survey on the role of artificial intelligence in managing Long COVID
Analysis of Features Selected by a Deep Learning Model for Differential Treatment Selection in Depression
A Survey of Topological Machine Learning Methods
Multimodal observable cues in mood, anxiety, and borderline personality disorders: a review of reviews to inform explainable AI in mental health
Automated detection of dolphin whistles with convolutional networks and transfer learning
Factorial Network Models to Improve P2P Credit Risk Management
Learning and reasoning with graph data
The impact of text topic and assumed human vs. AI authorship on competence and quality assessment
Rough-set based learning: Assessing patterns and predictability of anxiety, depression, and sleep scores associated with the use of cannabinoid-based medicine during COVID-19
Digital twin-enabled interactive cockpits for smart products management and testing
Deep Learning for Understanding Satellite Imagery: An Experimental Survey
Beyond the Failure of Direct-Matching in Keyword Evaluation: A Sketch of a Graph Based Solution
Dawn of the dialogue: AI's leap from lab to living room
Correction: Navigating the AI revolution: challenges and opportunities for integrating emerging technologies into knowledge management systems. Systematic literature review
Remarks on Multimodality: Grammatical Interactions in the Parallel Architecture
Detection and classification of ChatGPT-generated content using deep transformer models
ChatGPT in society: emerging issues
Artificial intelligence and machine learning in the development of vaccines and immunotherapeutics - yesterday, today, and tomorrow
Evaluating artificial intelligence bias in nephrology: the role of diversity, equity, and inclusion in AI-driven decision-making and ethical regulation
Introducing DynaPTI-constructing a dynamic patent technology indicator using text mining and machine learning
Forecasting Quoted Depth With the Limit Order Book
Examining the integration of artificial intelligence in supply chain management from Industry 4.0 to 6.0: a systematic literature review
Evaluation of MRI Denoising Methods Using Unsupervised Learning
Freedom under algorithms: how unpredictable and asocial management erodes free choice
From data extraction to analysis: a comparative study of ELISE capabilities in scientific literature
A MAGDM approach for evaluating the impact of artificial intelligence on education using 2-tuple linguistic q-rung orthopair fuzzy sets and Schweizer-Sklar weighted power average operator
InferBERT: A Transformer-Based Causal Inference Framework for Enhancing Pharmacovigilance
Leveraging Guided Backpropagation to Select Convolutional Neural Networks for Plant Classification
Evaluating LLMs on Kazakhstan's mathematics exam for university admission
The ReIMAGINE Multimodal Warehouse: Using Artificial Intelligence for Accurate Risk Stratification of Prostate Cancer
Perceptions of health data commodification in AI-driven healthcare systems in Saudi Arabia
How could fit between polychronicity and multitasking shape employees' self-leadership? The moderating role of AI-empowered task processing
Classification of elderly pain severity from automated video clip facial action unit analysis: A study from a Thai data repository
An Overcomplete Approach to Fitting Drift-Diffusion Decision Models to Trial-By-Trial Data
Applications of Topological Data Analysis in Oncology
Predicting financial distress in TSX-listed firms using machine learning algorithms
Conformational Changes of the Receptor Binding Domain of SARS-CoV-2 Spike Protein and Prediction of a B-Cell Antigenic Epitope Using Structural Data
Scaling and Disagreements: Bias, Noise, and Ambiguity
Streamlining event extraction with a simplified annotation framework
Editorial: Explanation in human-AI systems
Leveraging pre-trained embeddings in an ensemble machine learning approach for Arabic sentiment analysis
The impact of artificial intelligence on behavioral intentions to use mobile banking in the post-COVID-19 era
Toward a Knowledge-Based System for African Traditional Herbal Medicine: A Design Science Research Approach
Decision tree-based approach to robust Parkinson's disease subtyping using clinical data of the Michael J. Fox Foundation LRRK2 cross-sectional study
tachAId - An interactive tool supporting the design of human-centered AI solutions
SHAP and LIME: An Evaluation of Discriminative Power in Credit Risk
From data-driven cities to data-driven tumors: dynamic digital twins for adaptive oncology
Diagnostic performance of AI-based models versus physicians among patients with hepatocellular carcinoma: a systematic review and meta-analysis
Dimensions of artificial intelligence on family communication
AMaze: an intuitive benchmark generator for fast prototyping of generalizable agents
ADP-Net: a hierarchical attention-diffusion-prediction framework for human trajectory prediction
Editorial: Machine Learning for Water Resources
Estimation and Discriminability of Doppler Ultrasound Fetal Heart Rate Variability Measures
Key point generation as an instrument for generating core statements of a political debate on Twitter
RECLAIM: Toward a New Era of Refurbishment and Remanufacturing of Industrial Equipment
Image based deep learning in 12-lead ECG diagnosis
Epistemic responsibility: toward a community standard for human-AI collaborations
A conceptual ethical framework to preserve natural human presence in the use of AI systems in education
Feature relevance XAI in anomaly detection: Reviewing approaches and challenges
Artificial intelligence as a tool to enhance social interventions in reducing crime
Politics by Automatic Means? A Critique of Artificial Intelligence Ethics at Work
Revolutionizing smart grid security: a holistic cyber defence strategy
Impact of ChatGPT on medical chatbots as a disruptive technology
Fuzzy Leaky Bucket System for Intelligent Management of Consumer Electricity Elastic Load in Smart Grids
The interactive reading task: Transformer-based automatic item generation
Statistical biopsy: An emerging screening approach for early detection of cancers
A model for representing the semantics of MWEs: From lexical semantics to the semantic annotation of complex predicates
SMCFO: a novel cuttlefish optimization algorithm enhanced by simplex method for data clustering
Elucidating linear programs by neural encodings
Stakeholder-specific adoption of AI in HRM: workers' representatives' perspective on concerns, requirements, and measures
Culture intelligent workflow, structure, and steps
Quantifying training response in cycling based on cardiovascular drift using machine learning
Efficient dataset extension using generative networks for assessing degree of coating degradation around scribe
Implementing federated learning for privacy-preserving emotion detection in educational environments
The innovation paradox in human-AI symbiosis: ambidextrous effects of AI technology adoption on innovative behavior
Early diagnosis of autism across developmental stages through scalable and interpretable ensemble model
Behind the Leaves: Estimation of Occluded Grapevine Berries With Conditional Generative Adversarial Networks
A systematic review on the integration of explainable artificial intelligence in intrusion detection systems to enhancing transparency and interpretability in cybersecurity
A hybrid fuzzy logic-Random Forest model to predict psychiatric treatment order outcomes: an interpretable tool for legal decision support
AI, agentic models and lab automation for scientific discovery - the beginning of scAInce
Human-centricity in AI governance: A systemic approach
COVID-19 diagnosis using deep learning neural networks applied to CT images
Using the DiCoT framework for integrated multimodal analysis in mixed-reality training environments
Q-Finder: An Algorithm for Credible Subgroup Discovery in Clinical Data Analysis - An Application to the International Diabetes Management Practice Study
Machine Learning Applied to the Search for Nonlinear Features in Breeding Populations
That's Cool. Computational Sociolinguistic Methods for Investigating Individual Lexico-grammatical Variation
Specific challenges posed by artificial intelligence in research ethics
Sustainable artificial intelligence in finance: impact of ESG factors
Artificial intelligence-driven approach for patient-focused drug development
Navigating AI ethics: ANN and ANFIS for transparent and accountable project evaluation amidst contesting AI practices and technologies
Computational Models of Readers' Apperceptive Mass
Decoding children dental health risks: a machine learning approach to identifying key influencing factors
Artificial intelligence for surgical data management and decision support: lessons from wound care
The potential of DeepSeek for AI-aided diagnosis of antibody-positive autoimmune encephalitis: a single-center, retrospective, observational study
Thyroid nodule segmentation in ultrasound images using transformer models with masked autoencoder pre-training
Deep learning prediction of two-dimensional ocean dynamics with wavelet-compressed data
What naturalistic stimuli tell us about pronoun resolution in real-time processing
The Fourth Industrial Revolution - Smart Technology, Artificial Intelligence, Robotics and Algorithms: Industrial Psychologists in Future Workplaces
Adaptive Neuro-Fuzzy Inference System guided objective function parameter optimization for inverse treatment planning
Refinement of machine learning arterial waveform models for predicting blood loss in canines
The impact of pedagogical beliefs on the adoption of generative AI in higher education: predictive model from UTAUT2
AI competence and sentiment: a mixed-methods study of attitudes and open-ended reflections
Utility of Crowdsourced User Experiments for Measuring the Central Tendency of User Performance: A Case of Error-Rate Model Evaluation in a Pointing Task
Editorial: Article Collection on the Human Aspects in Adaptive and Personalized Interactive Environments
The use of artificial intelligence for automatic analysis and reporting of software defects
Large-scale Vietnamese point-of-interest classification using weak labeling
Neural architecture search applying optimal stopping theory
Person-based design and evaluation of MIA, a digital medical interview assistant for radiology
Supporting Artificial Social Intelligence With Theory of Mind
Impact of hypertension on coronary artery plaques and FFR-CT in type 2 diabetes mellitus patients: evaluation utilizing artificial intelligence processed coronary computed tomography angiography
Digital accessibility in the era of artificial intelligence - Bibliometric analysis and systematic review
Domain-Informed Neural Networks for Interaction Localization Within Astroparticle Experiments
A deep learning/machine learning approach for anomaly based network intrusion detection
Can artificial intelligence improve the diagnosis and prognosis of disorders of consciousness? A scoping review