yusuke1997/dblp-id-title huggingface dataset:
An artificial intelligence model for early-stage breast cancer classification from histopathological biopsy images
A review on AI Safety in highly automated driving
Autonomous Tool for Monitoring Multi-Morbidity Health Conditions in UAE and India
Deep learning in ultrasound tongue imaging: a systematic review toward automated detection of speech sound disorders
An Exploration of Stress: Leveraging Online Data from Crowdsourcing Platforms
How Are Patented AI, Software and Robot Technologies Related to Wage Changes in the United States?
Insights Into Co-Morbidity and Other Risk Factors Related to COVID-19 Within Ontario, Canada
The application progress of artificial intelligence in osteoporosis diagnosis
The precision medicine process for treating rare disease using the artificial intelligence tool mediKanren
Using knowledge graphs to infer gene expression in plants
The utility of generative artificial intelligence Chatbot (ChatGPT) in generating teaching and learning material for anesthesiology residents
Evaluating the role of generative AI and color patterns in the dissemination of war imagery and disinformation on social media
Accelerating computational fluid dynamics simulation of post-combustion carbon capture modeling with MeshGraphNets
Editorial: Disinformation countermeasures and artificial intelligence
The Applicability of Self-Play Algorithms to Trading and Forecasting Financial Markets
Infant food users' perceptions of safety: A web-based analysis approach
ChatGPT and reference intervals: a comparative analysis of repeatability in GPT-3.5 Turbo, GPT-4, and GPT-4o
AlphaZe∗∗: AlphaZero-like baselines for imperfect information games are surprisingly strong
Business analytics approach to artificial intelligence
Scaling transformers to high-dimensional sparse data: a Reformer-BERT approach for large-scale classification
Algorithmic management and human-centered task design: a conceptual synthesis from the perspective of action regulation and sociomaterial systems theory
Exploring Behavioral Patterns for Data-Driven Modeling of Learners' Individual Differences
Modeling Users' Cognitive Performance Using Digital Pen Features
Semantic Representations for NLP Using VerbNet and the Generative Lexicon
Prediction of mental effort derived from an automated vocal biomarker using machine learning in a large-scale remote sample
Gaussian process latent variable models-ANN based method for automatic features selection and dimensionality reduction for control of EMG-driven systems
First impressions of a financial AI assistant: differences between high trust and low trust users
Similarities and Differences in Gene Expression Networks Between the Breast Cancer Cell Line Michigan Cancer Foundation-7 and Invasive Human Breast Cancer Tissues
Structural analysis of VirD4 a type IV ATPase encoded by transmissible plasmids of Salmonella enterica isolated from poultry products
Network Based Scoring Models to Improve Credit Risk Management in Peer to Peer Lending Platforms
Decoding manipulative narratives in cognitive warfare: a case study of the Russia-Ukraine conflict
A nnU-Net-based automatic segmentation of FCD type II lesions in 3D FLAIR MRI images
A comparative study of Arabic syntactic analyzers
A Unified Framework on Generalizability of Clinical Prediction Models
Advanced sleep disorder detection using multi-layered ensemble learning and advanced data balancing techniques
Clinical concept recognition: Evaluation of existing systems on EHRs
In the search for the perfect prompt in medical AI queries
Solution of the Fokker-Planck Equation by Cross Approximation Method in the Tensor Train Format
Deep learning-based feature selection for detection of autism spectrum disorder
Quantification: The View From Natural Language Generation
Evaluating Multimedia and Language Tasks
Chatbots as a Tool to Scale Mentoring Processes: Individually Supporting Self-Study in Higher Education
A systematic review of deep learning methods for community detection in social networks
Adapting conversational strategies in information-giving human-agent interaction
Editorial: Artificial intelligence and the future of work: humans in control
Editorial: Artificial Intelligence and Machine Learning Applications in Plant Genomics and Genetics
Artificial intelligence in biology and medicine, and radioprotection research: perspectives from Jerusalem
Acronyms and Opportunities for Improving Deep Nets
Named entity recognition for Chinese electronic medical records by integrating knowledge graph and ClinicalBERT
High-resolution image inpainting using a probabilistic framework for diverse images with large arbitrary masks
Legal regulation of AI-assisted academic writing: challenges, frameworks, and pathways
Features of lexical complexity: insights from L1 and L2 speakers
On the construction of artificial general intelligence based on the correspondence between goals and means
Bayesian reinforcement learning for navigation planning in unknown environments
Editorial: Knowledge graph technologies: the next Frontier of the food, agriculture, and water domains
Information Theoretic Characterization of Uncertainty Distinguishes Surprise From Accuracy Signals in the Brain
Imagining the city in lockdown: Place in the COVID-19 self-recordings of the Lothian Diary Project
Adversarially Robust Learning via Entropic Regularization
How to train a self-driving vehicle: On the added value (or lack thereof) of curriculum learning and replay buffers
Does personality matter: examining the value of personality insights for personalized nudges that encourage the selection of learning resources
Clinical validation of an artificial intelligence algorithm for classifying tuberculosis and pulmonary findings in chest radiographs
In the Pursuit of Privacy: The Promises and Predicaments of Federated Learning in Healthcare
Corrigendum: Trust Dynamics and Verbal Assurances in Human Robot Physical Collaboration
Judgment aggregation, discursive dilemma and reflective equilibrium: Neural language models as self-improving doxastic agents
Tracking priming-induced language recovery in aphasia with pre-trained language models
Research on the robustness of the open-world test-time training model
Outliers and anomalies in training and testing datasets for AI-powered morphometry - evidence from CT scans of the spleen
The role of AI-enhanced fast delivery services in strengthening customer retention and loyalty in competitive markets
Artificial intelligence analysis applied to the treatment of granulosa cell tumors of the ovary
Neural Network Models for Bitcoin Option Pricing
Dynamic taxonomy generation for future skills identification using a named entity recognition and relation extraction pipeline
Learning to play against any mixture of opponents
Transforming glaucoma diagnosis: transformers at the forefront
Using Natural Language Processing and Artificial Intelligence to Explore the Nutrition and Sustainability of Recipes and Food
Medical Information Mart for Intensive Care: A Foundation for the Fusion of Artificial Intelligence and Real-World Data
Long-short term memory networks for modeling track geometry in laser metal deposition
Heart rates, facial expressions and self-reports: a multimodal longitudinal approach of learners' emotions in the foreign language classroom
MLGCN: an ultra efficient graph convolutional neural model for 3D point cloud analysis
A field-based recommender system for crop disease detection using machine learning
Graph theoretic visualization of patient and health worker messaging in the EHR
Measuring trust in artificial intelligence: validation of an established scale and its short form
Clearing the Transcription Hurdle in Dialect Corpus Building: The Corpus of Southern Dutch Dialects as Case Study
A hybrid model of complexity estimation: Evidence from Russian legal texts
Leveraging multi-scale feature integration in UNet and FPN for semantic segmentation of lung nodules
A self-learning multimodal approach for fake news detection
The application of random forest-based models in prognostication of gastrointestinal tract malignancies: a systematic review
SRflow: Deep learning based super-resolution of 4D-flow MRI data
Deception detection in educational AI: challenges for Japanese middle school students in interacting with generative AI robots
An AI-powered framework for assessing teacher performance in classroom interactions: a deep learning approach
E-Commerce Shopping Motivation and the Influence of Persuasive Strategies
The Issue of Proxies and Choice Architectures. Why EU Law Matters for Recommender Systems
Adaptability of AI for safety evaluation in regulatory science: A case study of drug-induced liver injury
The Next Generation of Medical Decision Support: A Roadmap Toward Transparent Expert Companions
Editorial: The Mental Lexicon, Blueprint of the Dictionaries of Tomorrow: Cognitive Aspects of the Lexicon
EPPO ontology: a semantic-driven approach for plant and pest codes representation
Longitudinal Analysis of Tactical Strategy in the Men's Division of the Ultimate Fighting Championship
Crack detection in structural images using a hybrid Swin Transformer and enhanced features representation block
Does splitting make sentence easier?
Missing data in multi-omics integration: Recent advances through artificial intelligence
Editorial: Ethical design of artificial intelligence-based systems for decision making
Zero-shot stance detection: Paradigms and challenges
An intelligence coordination system toward creating the super-intelligent law firm
Benefits, limits, and risks of ChatGPT in medicine
Countering AI-powered disinformation through national regulation: learning from the case of Ukraine
Unsupervised learning and natural language processing highlight research trends in a superbug
Prediction of unobserved bifurcation by unsupervised extraction of slowly time-varying system parameter dynamics from time series using reservoir computing
Deriving equivalent symbol-based decision models from feedforward neural networks
Federated Learning for Privacy-Aware Human Mobility Modeling
Using genAI in education: the case for critical thinking
Spectroscopy Approaches for Food Safety Applications: Improving Data Efficiency Using Active Learning and Semi-supervised Learning
Designing novel peptides with amyloid-β binding and clearance potential using BiLSTM and molecular dynamics
AI generations: from AI 1.0 to AI 4.0
How AI tools can - and cannot - help organizations become more ethical
The three-step persuasion model on YouTube: A grounded theory study on persuasion in the protein supplements industry
Applied Machine Learning for Stochastic Local Volatility Calibration
Weaponizing cognitive bias in autonomous systems: a framework for black-box inference attacks
Building One-Shot Semi-Supervised (BOSS) Learning Up to Fully Supervised Performance
Applications of contemporary artificial intelligence technology in forensic odontology as primary forensic identifier: A scoping review
AI-driven disinformation: policy recommendations for democratic resilience
Masking important information to assess the robustness of a multimodal classifier for emotion recognition
PED: a novel predictor-encoder-decoder model for Alzheimer drug molecular generation
Intention Recognition With ProbLog
Machine learning approaches to identify Parkinson's disease using voice signal features
A bibliometric review of deep learning in crop monitoring: trends, challenges, and future perspectives
BLoss-DDNet: bending loss and dual-task decoding network for overlapping cell nucleus segmentation of cervical clinical LBC images
AI-assisted anatomical structure recognition and segmentation via mamba-transformer architecture in abdominal ultrasound images
Handling missing data of using the XGBoost-based multiple imputation by chained equations regression method
Regularization by neural style transfer for MRI field-transfer reconstruction with limited data
Convolutional Neural Network-Based Technique for Gaze Estimation on Mobile Devices
Comparative analysis of frequentist, Bayesian, and machine learning models for predicting SARS-CoV-2 PCR positivity
Clear, easy, plain, and simple as keywords for text simplification
Assessing Open-Ended Human-Computer Collaboration Systems: Applying a Hallmarks Approach
Population health management through human phenotype ontology with policy for ecosystem improvement
Frost prediction using machine learning and deep neural network models
The evaluation of performance for agroecological greenhouse tomato strategies by the CRITIC-OWA model
Investigation of independent reinforcement learning algorithms in multi-agent environments
Implicit Standardization in a Minority Language Community: Real-Time Syntactic Change among Hasidic Yiddish Writers
Predicting Universal Healthcare Through Health Financial Management for Sustainable Development in BRICS, GCC, and AUKUS Economic Blocks
Forecasting air passenger traffic and market share using deep neural networks with multiple inputs and outputs
Can I Influence You? Development of a Scale to Measure Perceived Persuasiveness and Two Studies Showing the Use of the Scale
Grounding human-object interaction to affordance behavior in multimodal datasets
Electronic Brainstorming With a Chatbot Partner: A Good Idea Due to Increased Productivity and Idea Diversity
Algorithmic discrimination: examining its types and regulatory measures with emphasis on US legal practices
A systematic review of the hybrid machine learning models for brain tumour segmentation and detection in medical images
Lexical simplification benchmarks for English, Portuguese, and Spanish
MeaningBERT: assessing meaning preservation between sentences
A systematic literature review on the use of multicriteria decision making methods for small and medium-sized enterprises innovation assessment
Argumentation and explanation in the law
Automated analysis of whole slide digital skin biopsy images
Optimized design and performance evaluation of long-pressure-short-extraction ventilation and dust removal system based on the Coanda effect
BRAVE-NET: Fully Automated Arterial Brain Vessel Segmentation in Patients With Cerebrovascular Disease
First deployment of artificial intelligence recommendations in orthopedic surgery
Leveraging explanations in interactive machine learning: An overview
Fake review identification and utility evaluation model using machine learning
Sysrev: A FAIR Platform for Data Curation and Systematic Evidence Review
Asynchronous Deep Double Dueling Q-learning for trading-signal execution in limit order book markets
Corrigendum: DeepCarc: Deep learning-powered carcinogenicity prediction using model-level representation
COVID-Twitter-BERT: A natural language processing model to analyse COVID-19 content on Twitter
Digital Normativity: A Challenge for Human Subjectivation
Integration between constrained optimization and deep networks: a survey
Real-time temperature anomaly detection in vaccine refrigeration systems using deep learning on a resource-constrained microcontroller
An autoencoder-based deep learning method for genotype imputation
Corrigendum: Editorial: Explainable artificial intelligence models and methods in finance and healthcare
Image restoration and key field alignment for misaligned overlapping text in secondary printing document images
Ontological how and why: action and objective of planned processes in the food domain
Accelerating Hyperparameter Tuning in Machine Learning for Alzheimer's Disease With High Performance Computing
Enhancing credit card fraud detection using traditional and deep learning models with class imbalance mitigation
AI, universal basic income, and power: symbolic violence in the tech elite's narrative
Virtual Cohorts and Synthetic Data in Dementia: An Illustration of Their Potential to Advance Research
Automated surgical step recognition in transurethral bladder tumor resection using artificial intelligence: transfer learning across surgical modalities
LMS-ViT: a multi-scale vision transformer approach for real-time smartphone-based skin cancer detection
A generative AI-driven interactive listening assessment task
A comparative study of bone density in elderly people measured with AI and QCT
The scholarly footprint of ChatGPT: a bibliometric analysis of the early outbreak phase
Visual Features and Their Own Optical Flow
Machine learning-based infant crying interpretation
An artificial intelligence algorithm to select most viable embryos considering current process in IVF labs
Navigating the unseen peril: safeguarding medical imaging in the age of AI
C3PO: a crop planning and production process ontology and knowledge graph
Editorial: AI applications for diagnosis of breast cancer
Evaluating the effectiveness of prompt engineering for knowledge graph question answering
Attitudes Toward Multilingualism in Luxembourg. A Comparative Analysis of Online News Comments and Crowdsourced Questionnaire Data
Detection of COVID-19 Using Deep Learning Techniques and Cost Effectiveness Evaluation: A Survey
Multicenter evaluation of machine and deep learning methods to predict glaucoma surgical outcomes
Elucidating simulated equivalence responding through dynamic visualization of structural connectivity and relational density
Tuberculosis Diagnostics and Localization in Chest X-Rays via Deep Learning Models
Editorial: Trends in AI4ESG: AI for sustainable finance and ESG technology
LRMP: Layer Replication with Mixed Precision for spatial in-memory DNN accelerators
Decentralizing video copyright protection: a novel blockchain-enabled framework with performance evaluation
On the use of AI for Generation of Functional Music to Improve Mental Health
Ethics and responsible AI deployment
Acceptability of artificial intelligence in inclusive education: a TAM2-based study among preservice teachers
Editorial: Methodology for emotion-aware education based on artificial intelligence
A topological model for partial equivariance in deep learning and data analysis
Reconstructing signal during brain stimulation with Stim-BERT: a self-supervised learning model trained on millions of iEEG files
The Promise of AI in Detection, Diagnosis, and Epidemiology for Combating COVID-19: Beyond the Hype
Learning analytics for lifelong career development: a framework to support sustainable formative assessment and self-reflection in programs developing career self-efficacy
MoSViT: a lightweight vision transformer framework for efficient disease detection via precision attention mechanism
How Personality and Communication Patterns Affect Online ad-hoc Teams Under Pressure
Advancements and challenges of artificial intelligence in climate modeling for sustainable urban planning
Machine Learning-Based Modeling of Spatio-Temporally Varying Responses of Rainfed Corn Yield to Climate, Soil, and Management in the U.S. Corn Belt
Machine Learning Analysis of Hydrologic Exchange Flows and Transit Time Distributions in a Large Regulated River
Exploring trust factors in AI-healthcare integration: a rapid review
Analyzing the European institutional response to ethical and regulatory challenges of artificial intelligence in addressing discriminatory bias
Automated Assessment of Peristomal Skin Discoloration and Leakage Area Using Artificial Intelligence
Integrating generative adversarial networks with IoT for adaptive AI-powered personalized elderly care in smart homes
Investigating the contribution of image time series observations to cauliflower harvest-readiness prediction
ProTect: a hybrid deep learning model for proactive detection of cyberbullying on social media
Automated feedback and writing: a multi-level meta-analysis of effects on students' performance
Enhancing rehabilitation in stroke survivors: a deep learning approach to access upper extremity movement using accelerometry data
Improving deceased donor kidney utilization: predicting risk of nonuse with interpretable models
iNALU: Improved Neural Arithmetic Logic Unit
A Transfer Learning-Based Active Learning Framework for Brain Tumor Classification
LiT: limit order book transformer
Artificial Intelligence to Analyze the Cortical Thickness Through Age
Big data in financial risk management: evidence, advances, and open questions: a systematic review
Enhancing Ishihara and educational images using machine learning: toward accessible learning for colorblind individuals
Inpainting of damaged temple murals using edge- and line-guided diffusion patch GAN
Understanding heterogeneity of investor sentiment on social media: A structural topic modeling approach
Artificial intelligence attitudes and resistance to use robo-advisors: exploring investor reluctance toward cognitive financial systems
Exploring the Representations of Individual Entities in the Brain Combining EEG and Distributional Semantics
Automating updates for scoping reviews on the environmental drivers of human and animal diseases: a comparative analysis of AI methods
Neural Network Training With Asymmetric Crosspoint Elements
Accuracy of AI chatbots in answering frequently asked questions on cervical cancer
Application of hybrid fuzzy interval-based machine learning models on financial time series - A case study of Taiwan biotech index during the epidemic period
Robust deep-learning based refrigerator food recognition
Multi-scale dynamics by adjusting the leaking rate to enhance the performance of deep echo state networks
Risks and Opportunities of RegTech and SupTech Developments
Early Classification of Intent for Maritime Domains Using Multinomial Hidden Markov Models
Direct domain adaptation through reciprocal linear transformations
The effect of AI on pink marketing: the case of women's purchasing behavior using mobile applications
Integrated Evolutionary Learning: An Artificial Intelligence Approach to Joint Learning of Features and Hyperparameters for Optimized, Explainable Machine Learning
Exploring the potential of AI-driven food waste management strategies used in the hospitality industry for application in household settings
Applications of artificial intelligence in emergency and critical care diagnostics: a systematic review and meta-analysis
Medicine for artificial intelligence: applying a medical framework to AI anomalies
Mapping Lexical Dialect Variation in British English Using Twitter
COVID-FACT: A Fully-Automated Capsule Network-Based Framework for Identification of COVID-19 Cases from Chest CT Scans
General Northern English. Exploring Regional Variation in the North of England With Machine Learning
A review on knowledge and information extraction from PDF documents and storage approaches
Exploring ChatGPT's potential for augmenting post-editing in machine translation across multiple domains: challenges and opportunities
Privacy-, linguistic-, and information-preserving synthesis of clinical documentation through generative agents
Lipschitz-based robustness estimation for hyperdimensional learning
Editorial: Efficient AI in particle physics and astrophysics
Factors influencing trust in algorithmic decision-making: an indirect scenario-based experiment
Learning with privileged and sensitive information: a gradient-boosting approach
Optimizing training of time series diffusion models via similarity score functions: application to cyclic and acyclic motion with IMU data
DiaGuide-LLM - Using large language models for patient-specific education and health guidance in diabetes
An Interactive Visualization for Feature Localization in Deep Neural Networks
Case Report: Utilizing AI and NLP to Assist with Healthcare and Rehabilitation During the COVID-19 Pandemic
Pattern recognition in SARS cases: insights from t-SNE and k-means clustering applied to COVID-19 symptomatology
Towards Effective Patient Simulators
Corrigendum: 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 )
Using Twitter Data for the Study of Language Change in Low-Resource Languages. A Panel Study of Relative Pronouns in Frisian
Sex Robots - A Harbinger for Emerging AI Risk
Detecting body dysmorphic disorder in the age of algorithms
Bridging the Gap of AutoGraph Between Academia and Industry: Analyzing AutoGraph Challenge at KDD Cup 2020
Fluorescent marker prediction for non-invasive optical imaging in bovine satellite cells using deep learning