yusuke1997/dblp-id-title huggingface dataset:
A Recommender System for Programming Online Judges Using Fuzzy Information Modeling
Feasibility Study on the Role of Personality, Emotion, and Engagement in Socially Assistive Robotics: A Cognitive Assessment Scenario
Development and Evaluation of a Mobile Application Suite for Enhancing the Social Inclusion and Well-Being of Seniors
OA-Pain-Sense: Machine Learning Prediction of Hip and Knee Osteoarthritis Pain from IMU Data
Risk Factors Influencing Fatal Powered Two-Wheeler At-Fault and Not-at-Fault Crashes: An Application of Spatio-Temporal Hotspot and Association Rule Mining Techniques
Applications of Blockchain Technology to Logistics Management in Integrated Casinos and Entertainment
What the Web Has Wrought
Application of Machine Learning in Intensive Care Unit (ICU) Settings Using MIMIC Dataset: Systematic Review
Building a Workforce for Smart City Governance: Challenges and Opportunities for the Planning and Administrative Professions
Digital Transformation in Omani Higher Education: Assessing Student Adoption of Video Communication during the COVID-19 Pandemic
Machine Learning Applied to Tree Crop Yield Prediction Using Field Data and Satellite Imagery: A Case Study in a Citrus Orchard
Conceptualization and Survey Instrument Development for Website Usability
Research on Power Cable Intrusion Identification Using a GRT-Transformer-Based Distributed Acoustic Sensing (DAS) System
Improving Smart Cities Safety Using Sound Events Detection Based on Deep Neural Network Algorithms
Development and Internal Validation of an Interpretable Machine Learning Model to Predict Readmissions in a United States Healthcare System
Improving Minority Class Recall through a Novel Cluster-Based Oversampling Technique
Deep Learning-Based Forecasting of Boarding Patient Counts to Address Emergency Department Overcrowding
Predictive Model for ICU Readmission Based on Discharge Summaries Using Machine Learning and Natural Language Processing
What Is It Like to Make a Prototype? Practitioner Reflections on the Intersection of User Experience and Digital Humanities/Social Sciences during the Design and Delivery of the "Getting to Mount Resilience" Prototype
Development of a Chatbot for Pregnant Women on a Posyandu Application in Indonesia: From Qualitative Approach to Decision Tree Method
Domain-Specific Aspect-Sentiment Pair Extraction Using Rules and Compound Noun Lexicon for Customer Reviews
Bagging Machine Learning Algorithms: A Generic Computing Framework Based on Machine-Learning Methods for Regional Rainfall Forecasting in Upstate New York
Data Governance in the Sustainable Smart City
Teaching HCI Skills in Higher Education through Game Design: A Study of Students' Perceptions
Ambient Assisted Living and Health-Related Outcomes - A Systematic Literature Review
Evaluating the Reliability of ChatGPT for Health-Related Questions: A Systematic Review
Application of Machine Learning Methods on Patient Reported Outcome Measurements for Predicting Outcomes: A Literature Review
An Internet of Things Based Multi-Level Privacy-Preserving Access Control for Smart Living
Measuring Digital Citizenship: A Comparative Analysis
In Search of Smartness: The EU e-Justice Challenge
What Is This Sensor and Does This App Need Access to It?
Use of Virtual Reality to Reduce Anxiety and Pain of Adults Undergoing Outpatient Procedures
Social Media Providing an International Virtual Elective Experience for Student Nurses
Development of Ontology for Knowledge of Traditions Common Culture of Countries in the Greater Mekong Subregion
Data Provenance for Agent-Based Models in a Distributed Memory
Enhancing Cultural Heritage Accessibility Through Three-Dimensional Artifact Visualization on Web-Based Open Frameworks
When Wiki Technology Meets Corporate Knowledge Management Routines: A Sociomateriality Perspective
Utilizing LSTM-GRU for IOT-Based Water Level Prediction Using Multi-Variable Rainfall Time Series Data
How 2.5D Maps Design Improve the Wayfinding Performance and Spatial Ability of Map Users
Machine Learning Applied to Improve Prevention of, Response to, and Understanding of Violence Against Women
Identifying Opportunities to Integrate Digital Professionalism into Curriculum: A Comparison of Social Media Use by Health Profession Students at an Australian University in 2013 and 2016
AI Literacy and Intention to Use Text-Based GenAI for Learning: The Case of Business Students in Korea
Advancements in Artificial Intelligence-Based Decision Support Systems for Improving Construction Project Sustainability: A Systematic Literature Review
Early Estimation in Agile Software Development Projects: A Systematic Mapping Study
AI Language Models: An Opportunity to Enhance Language Learning
Building a Persuasive Virtual Dietitian
Linking Smart Governance to Future Generations: A Study on the Use of Local E-Government Service among Undergraduate Students in a Chinese Municipality
Intelligent Remote Photoplethysmography-Based Methods for Heart Rate Estimation from Face Videos: A Survey
Modeling and Application of Customer Lifetime Value in Online Retail
A Machine-Learning-Based Motor and Cognitive Assessment Tool Using In-Game Data from the GAME2AWE Platform
Deep Full-Body HPE for Activity Recognition from RGB Frames Only
Healthcare and the Internet of Medical Things: Applications, Trends, Key Challenges, and Proposed Resolutions
Do Trusting Belief and Social Presence Matter? Service Satisfaction in Using AI Chatbots: Necessary Condition Analysis and Importance-Performance Map Analysis
Predictive Language Processing in Humans and Large Language Models: A Comparative Study of Contextual Dependencies
MSProfileR: An Open-Source Software for Quality Control of Matrix-Assisted Laser Desorption Ionization-Time of Flight Spectra
Blockchain and Smart Contracts: A Solution for Payment Issues in Construction Supply Chains
Decision Tree Modeling for Osteoporosis Screening in Postmenopausal Thai Women
WordDGA: Hybrid Knowledge-Based Word-Level Domain Names Against DGA Classifiers and Adversarial DGAs
Human-Information Interaction - A Special Issue of the Journal of Informatics
Multi-Gateway-Based Energy Holes Avoidance Routing Protocol for WSN
Detection of Abnormal Patterns in Children's Handwriting by Using an Artificial-Intelligence-Based Method
Acceptance of Google Meet during the Spread of Coronavirus by Arab University Students
Literature Review of Location-Based Mobile Games in Education: Challenges, Impacts and Opportunities
Does Fun Matter? Using Chatbots for Customer Services
Modeling Subcutaneous Microchip Implant Acceptance in the General Population: A Cross-Sectional Survey about Concerns and Expectations
Recognition of Physical Activities from a Single Arm-Worn Accelerometer: A Multiway Approach
The C2G Framework to Convert Infrastructure Data from Computer-Aided Design (CAD) to Geographic Information Systems (GIS)
Misalignment Detection for Web-Scraped Corpora: A Supervised Regression Approach
Acknowledgement to Reviewers of Informatics in 2017
Cryptoblend: An AI-Powered Tool for Aggregation and Summarization of Cryptocurrency News
Digital Weather Information in an Embodied World
Bayesian Integrative Modeling of Genome-Scale Metabolic and Regulatory Networks
Impact of E-Learning Activities on English as a Second Language Proficiency among Engineering Cohorts of Malaysian Higher Education: A 7-Month Longitudinal Study
Artificial Eyes with Emotion and Light Responsive Pupils for Realistic Humanoid Robots
Aspects of E-Scooter Sharing in the Smart City
Tagging Users' Social Circles via Multiple Linear Regression
Molecular Imaging of Bacterial Infections in vivo : The Discrimination between Infection and Inflammation
Transforming Service Quality in Healthcare: A Comprehensive Review of Healthcare 4.0 and Its Impact on Healthcare Service Quality
Use of Chipless Radio Frequency Identification Technology for Smart Food Packaging: An Economic Analysis for an Australian Seafood Industry
Nursing Informatics: Consumer-Centred Digital Health
Player-Game Interaction and Cognitive Gameplay: A Taxonomic Framework for the Core Mechanic of Videogames
Selective Wander Join: Fast Progressive Visualizations for Data Joins
Modeling of Open Government Data for Public Sector Organizations Using the Potential Theories and Determinants - A Systematic Review
FOXS-GSC - Fast Offset Xpath Service with HexagonS Communication
Deep Learning for Enterprise Systems Implementation Lifecycle Challenges: Research Directions
The Development of an Information Technology Architecture for Automated, Agile and Versatile Companies with Ecological and Ethical Guidelines
Pruning Policy for Image Classification Problems Based on Deep Learning
Implementing Big Data Analytics in Marketing Departments: Mixing Organic and Administered Approaches to Increase Data-Driven Decision Making
Barriers Affecting Higher Education Institutions' Adoption of Blockchain Technology: A Qualitative Study
Genealogical Data-Driven Visits of Historical Cemeteries
Factors Affecting Reputational Damage to Organisations Due to Cyberattacks
Visual Analytics for Electronic Health Records: A Review
AgroAId: A Mobile App System for Visual Classification of Plant Species and Diseases Using Deep Learning and TensorFlow Lite
Exploring Multidimensional Embeddings for Decision Support Using Advanced Visualization Techniques
Modifying the Unified Theory of Acceptance and Use of Technology (UTAUT) Model for the Digital Transformation of the Construction Industry from the User Perspective
Strategies and Recommendations for the Management of Uncertainty in Research Tools and Environments for Digital History
Developing a Model of Distributed Sensemaking: A Case Study of Military Analysis
Barriers to the Adoption of Digital Twin in the Construction Industry: A Literature Review
Developing and Improving Student Non-Technical Skills in IT Education: A Literature Review and Model
Large Language Models in Healthcare and Medical Domain: A Review
Identification of the Consequences of COVID-19 through the Analysis of Data Obtained in Surveys of a Specific Population
Evaluation of the Forms of Education of High School Students Using a Hybrid Model Based on Various Optimization Methods and a Neural Network
Blockchain in the Tourism Industry - A Review of the Situation in Croatia and Macedonia
Analysis of Descriptors of Concept Drift and Their Impacts
An Exploratory Study on the Validation of THUNDERS: A Process to Achieve Shared Understanding in Problem-Solving Activities
Defining Valid Activity Monitor Data: A Multimethod Analysis of Weight-Loss Intervention Participants' Barriers to Wear and First 100 Days of Physical Activity
Constraining the Reionization History using Bayesian Normalizing Flows
Artificial applicability labels for improving policies in retrosynthesis prediction
Prediction of the evolution of the stress field of polycrystals undergoing elastic-plastic deformation with a hybrid neural network model
Neural network training with highly incomplete medical datasets
Human-in-the-loop reinforcement learning for data quality monitoring in particle physics experiments
Developing novel machine-learning-based fire weather indices
Building high accuracy emulators for scientific simulations with deep neural architecture search
Transformer-powered surrogates close the ICF simulation-experiment gap with extremely limited data
Machine learning reveals complex behaviours in optically trapped particles
Boost invariant polynomials for efficient jet tagging
Machine learning meets Kepler: inverting Kepler's equation for All vs All conjunction analysis
Calibration of uncertainty in the active learning of machine learning force fields
New parameterized quantum gates design and efficient gradient solving based on variational quantum classification algorithm
Leveraging trust for joint multi-objective and multi-fidelity optimization
Illuminating new and known relations between knot invariants
Towards arbitrary QUBO optimization: analysis of classical and quantum-activated feedforward neural networks
Enabling robust offline active learning for machine learning potentials using simple physics-based priors
Adaptive partial scanning transmission electron microscopy with reinforcement learning
Deep learning of interface structures from simulated 4D STEM data: cation intermixing vs. roughening
Efficient mapping of phase diagrams with conditional Boltzmann Generators
Revving up 13C NMR shielding predictions across chemical space: benchmarks for atoms-in-molecules kernel machine learning with new data for 134 kilo molecules
Physics-AI symbiosis
Stochastic gradient descent with random label noises: doubly stochastic models and inference stabilizer
Deep neural network for x-ray photoelectron spectroscopy data analysis
Investigation of inverse design of multilayer thin-films with conditional invertible neural networks
Fast neural network inference on FPGAs for triggering on long-lived particles at colliders
Phase diagram and eigenvalue dynamics of stochastic gradient descent in multilayer neural networks
High-resolution regional SST AI downscaling based on multi-mode inputs from nested ROMS simulations
Machine-learning based high-bandwidth magnetic sensing
Enhancing the rationale of convolutional neural networks for glitch classification in gravitational wave detectors: a visual explanation
Scalable and accurate simulation of electrolyte solutions with quantum chemical accuracy
High-dimensional encryption in optical fibers using spatial modes of light and machine learning
WBC-KICNet: knowledge-infused convolutional neural network for white blood cell classification
Scientific intuition inspired by machine learning-generated hypotheses
Mutual information scaling for tensor network machine learning
End-to-end AI framework for interpretable prediction of molecular and crystal properties
ARTS: autonomous research topic selection system using word embeddings and network analysis
Achieving robustness to aleatoric uncertainty with heteroscedastic Bayesian optimisation
Optical flow estimation based on global cross information and dynamic encoder-dynamic decoder
Towards instance-wise calibration: local amortized diagnostics and reshaping of conditional densities (LADaR)
Application of autoencoders artificial neural network and principal component analysis for pattern extraction and spatial regionalization of global temperature data
Symbolic regression as a feature engineering method for machine and deep learning regression tasks
Near-optimal control of dynamical systems with neural ordinary differential equations
Completion of partial chemical equations
Learning to discover: expressive Gaussian mixture models for multi-dimensional simulation and parameter inference in the physical sciences
Probing the effects of broken symmetries in machine learning
Stabilizing training of affine coupling layers for high-dimensional variational inference
Recipes for when physics fails: recovering robust learning of physics informed neural networks
Prediction of chemical reaction yields using deep learning
HPGe-Compton Net: a physics-guided CNN for fast gamma spectra analysis via Compton region learning
Data-driven prediction of blood glucose dynamics from vagus nerve recordings using neural controlled differential equations
Gradient domain machine learning with composite kernels: improving the accuracy of PES and force fields for large molecules
Extending the extended dynamic mode decomposition with latent observables: the latent EDMD framework
Development and deployment of data-driven turbulence model for three-dimensional complex configurations
Determination of latent dimensionality in international trade flow
Quality assurance for online adaptive radiotherapy: a secondary dose verification model with geometry-encoded U-Net
Hierarchical Auxiliary Learning
Bayesian learning of parameterised quantum circuits
Deep learning based event reconstruction for cyclotron radiation emission spectroscopy
Transfer learning nonlinear plasma dynamic transitions in low dimensional embeddings via deep neural networks
Enhancing wildfire spread modelling by building a gridded fuel moisture content product with machine learning
Img2Neuro: brain-trained neural activity encoders for enhanced object recognition
Wasserstein metric for improved quantum machine learning with adjacency matrix representations
Virtual reality for understanding artificial-intelligence-driven scientific discovery with an application in quantum optics
Koopman-inspired approach for identification of exogenous anomalies in nonstationary time-series data
Perspective: new insights from loss function landscapes of neural networks
Evaluating machine learning models for supernova gravitational wave signal classification
Graph representation of local environments for learning high-entropy alloy properties
iDQ: Statistical inference of non-gaussian noise with auxiliary degrees of freedom in gravitational-wave detectors
Automated multi-layer optical design via deep reinforcement learning
Data-driven molecular design for discovery and synthesis of novel ligands: a case study on SARS-CoV-2
Designing precise dynamical steady states in disordered networks
Improving model robustness to weight noise via consistency regularization
A theoretical perspective on mode collapse in variational inference
Photonic modes prediction via multi-modal diffusion model
Complete parameter inference for GW150914 using deep learning
ZeROf-Offload: forward-gradient scheme for efficient full parameter fine-tuning of billion-scale language models
Distance preserving machine learning for uncertainty aware accelerator capacitance predictions
Deep reinforcement learning for optical systems: A case study of mode-locked lasers
Multimodal protein representation learning and target-aware variational auto-encoders for protein-binding ligand generation
New angles on fast calorimeter shower simulation
Atomic structure generation from reconstructing structural fingerprints
Inferring spatially varying bending stiffness of biopolymers with deep-learning approach
Adaptive continuous-discrete variables optimization for active learning with extremely sparse data in optical material design
Efficient Monte Carlo simulation of streamer discharges with deep-learning denoising models
Regularised atomic body-ordered permutation-invariant polynomials for the construction of interatomic potentials
End-to-end optimal detector design with mutual information surrogates
Data-centric machine learning in quantum information science
Subaging in underparametrized deep neural networks
Stable attractors for neural networks classification via ordinary differential equations (SA-nODE)
Negative order sobolev cubatures: preconditioners of partial differential equation learning tasks circumventing numerical stiffness
Application of deep learning-based fuzzy systems to analyze the overall risk of mortality in glioblastoma multiforme
Efficient data acquisition and training of collisional-radiative model artificial neural network surrogates through adaptive parameter space sampling
Uncertainty quantification from ensemble variance scaling laws in deep neural networks
Joint ptycho-tomography with deep generative priors
Refinable modeling for unbinned SMEFT analyses
Chemical space-informed machine learning models for rapid predictions of x-ray photoelectron spectra of organic molecules
A hybrid quantum regression model for the prediction of molecular atomization energies
Portable network resolving huge-graph isomorphism problem
B2-Net: an artificial intelligence powered machine learning framework for the classification of pneumonia in chest x-ray images
SemiH: DFT Hamiltonian neural network training with semi-supervised learning
Measuring transferability issues in machine-learning force fields: the example of gold-iron interactions with linearized potentials
Deep learning representations for quantum many-body systems on heterogeneous hardware
Learning from topology: cosmological parameter estimation from the large-scale structure
Miniaturizing neural networks for charge state autotuning in quantum dots
Bayesian renormalization
A data driven approach to classify descriptors based on their efficiency in translating noisy trajectories into physically-relevant information
Realistic mask generation for matter-wave lithography via machine learning
Self-supervised learning of materials concepts from crystal structures via deep neural networks
Clarifying trust of materials property predictions using neural networks with distribution-specific uncertainty quantification
High-dimensional multi-fidelity Bayesian optimization for quantum control
Self-supervised representations and node embedding graph neural networks for accurate and multi-scale analysis of materials
Atomic force microscopy simulations for CO-functionalized tips with deep learning
Physics makes the difference: Bayesian optimization and active learning via augmented Gaussian process
Embedding human heuristics in machine-learning-enabled probe microscopy
Data-driven modeling of electrostatic turbulence by physics-informed Fourier neural operator
Identifying chaotic dynamics in noisy time series through multimodal deep neural networks
Uncovering interpretable relationships in high-dimensional scientific data through function preserving projections
Optimizing collective behavior of communicating active particles with machine learning
Warwick electron microscopy datasets
Discovering emergent connections in quantum physics research via dynamic word embeddings
Deep dose plugin: towards real-time Monte Carlo dose calculation through a deep learning-based denoising algorithm
Towards automatic setup of 18 MeV electron beamline using machine learning
Active delta-learning for fast construction of interatomic potentials and stable molecular dynamics simulations
Machine-learning-assisted Monte Carlo fails at sampling computationally hard problems
An extended de Bruijn graph for feature engineering over biological sequential data
Bayesian optimization of hybrid quantum LSTM in a mixed model for precipitation forecasting
Simultaneous energy and mass calibration of large-radius jets with the ATLAS detector using a deep neural network
An exponentially-growing family of universal quantum circuits
Deciphering peptide-protein interactions via composition-based prediction: a case study with survivin/BIRC5
Deep probabilistic direction prediction in 3D with applications to directional dark matter detectors
Accelerated development of multi-component alloys in discrete design space using Bayesian multi-objective optimisation
Convolutional neural network analysis of x-ray diffraction data: strain profile retrieval in ion beam modified materials
SELFormer: molecular representation learning via SELFIES language models
Convolutional neural network classifier for the output of the time-domain $\mathcal{F}$-statistic all-sky search for continuous gravitational waves
Predictive models for inorganic materials thermoelectric properties with machine learning
Variance extrapolation method for neural-network variational Monte Carlo
Retentive neural quantum states: efficient ansätze for ab initio quantum chemistry
Automated real-space lattice extraction for atomic force microscopy images
i- flow: High-dimensional integration and sampling with normalizing flows
LLM4Mat-bench: benchmarking large language models for materials property prediction
High- T c superconductor candidates proposed by machine learning
DIGS: deep inference of galaxy spectra with neural posterior estimation
NCoder - a quantum field theory approach to encoding data
Regression transients modeling of solid rocket motor burning surfaces with physics-guided neural network
Neural signatures of depression: classifying drug-naïve MDD patients with time- and frequency-domain EEG features during emotional processing
A robust estimator of mutual information for deep learning interpretability
On the prediction of the turbulent flow behind cylinder arrays via echo state networks
Neural network Gaussian processes as efficient models of potential energy surfaces for polyatomic molecules
Control of stochastic quantum dynamics by differentiable programming
Towards a comprehensive visualisation of structure in large scale data sets