yusuke1997/dblp-id-title huggingface dataset:
Deepfakes: A new threat to image fabrication in scientific publications?
Staying the course
Artificial intelligence for antibody reading comprehension: AntiBERTa
Energy efficiency as a normative account for predictive coding
Data science, human intelligence, and therapeutics discovery: An interview with Sean Escola, Saul Kato, and Pavan Ramkumar
Metadata and Reuse: Antidotes to Information Entropy
A normative framework for artificial intelligence as a sociotechnical system in healthcare
Explaining the Genetic Causality for Complex Phenotype via Deep Association Kernel Learning
RiskPath: Explainable deep learning for multistep biomedical prediction in longitudinal data
Combined statistical-biophysical modeling links ion channel genes to physiology of cortical neuron types
Administrative Data Research UK
Reproducibility Starts from You Today
Data-model alliance network for the online multi-step thermal warning of energy storage system based on surface temperature diffusion
Deep Learning in Protein Structural Modeling and Design
Toward large reasoning models: A survey of reinforced reasoning with large language models
Uncovering Effective Explanations for Interactive Genomic Data Analysis
Grounding deep neural network predictions of human categorization behavior in understandable functional features: The case of face identity
FLEX-SMOTE: Synthetic over-sampling technique that flexibly adjusts to different minority class distributions
Machine learning discovery of high-temperature polymers
Toward audience-aware argument generation
An information theoretic approach for the inference of Boolean networks and functions from data: BoCSE
MediSim: Multi-granular simulation for enriching longitudinal, multi-modal electronic health records
Self-supervised learning and prediction of microstructure evolution with convolutional recurrent neural networks
Toward a tipping point in federated learning in healthcare and life sciences
S2S: A deep learning method for the radiological diagnosis of fine-grained diseases spanning screening to subtyping
Differential privacy for public health data: An innovative tool to optimize information sharing while protecting data confidentiality
AI-enhanced collective intelligence
Accurate prediction of B-form/A-form DNA conformation propensity from primary sequence: A machine learning and free energy handshake
Accelerating scientific discoveries through data-driven innovations
Machine vision-assisted identification of the lung adenocarcinoma category and high-risk tumor area based on CT images
Detrimental network effects in privacy: A graph-theoretic model for node-based intrusions
Forecasting coal power plant retirement ages and lock-in with random forest regression
Privacy of single-cell gene expression data
Accessing scientific data through knowledge graphs with Ontop
Three-factor learning in spiking neural networks: An overview of methods and trends from a machine learning perspective
LATTE: Label-efficient incident phenotyping from longitudinal electronic health records
Common-sense approaches to sharing tabular data alongside publication
Lots of Lovely Numbers, but Why Does Everyone Make It So Difficult?
Unraveling learning characteristics of transformer models for molecular design
Plug-and-play computational method for advancing natural and biomedical image representation
Multivariate hyperspectral data analytics across length scales to probe compositional, phase, and strain heterogeneities in electrode materials
Unsupervised cross-domain translation via deep learning and adversarial attention neural networks and application to music-inspired protein designs
Data science's communication problem in three films
Why technical solutions for detecting AI-generated content in research and education are insufficient
AlphaML: A clear, legible, explainable, transparent, and elucidative binary classification platform for tabular data
Empowering local communities using artificial intelligence
Closing the multichannel gap through computational reconstruction of interaction in super-resolution microscopy
VERSO: A comprehensive framework for the inference of robust phylogenies and the quantification of intra-host genomic diversity of viral samples
GeoSPM: Geostatistical parametric mapping for medicine
Deep learning and computer vision techniques for microcirculation analysis: A review
Energy system digitization in the era of AI: A three-layered approach toward carbon neutrality
A historical perspective of biomedical explainable AI research
Bioimage Analysis and Cell Motility
Fine-tuning large neural language models for biomedical natural language processing
Data-driven learning of Boolean networks and functions by optimal causation entropy principle
Tokenized and continuous embedding compressions of protein sequence and structure
Graph-sequence enhanced transformer for template-free prediction of natural product biosynthesis
To Boldly Go Where No Data Stream Has Gone Before
Knitting Ripples
Patient and public involvement to build trust in artificial intelligence: A framework, tools, and case studies
HINT: Hierarchical interaction network for clinical-trial-outcome predictions
Data-driven assessment of dimension reduction quality for single-cell omics data
Student skills need to evolve to match our new AI society
Florence Nightingale (1820-1910): An Unexpected Master of Data
Inferring global-scale temporal latent topics from news reports to predict public health interventions for COVID-19
Preview of "Data and its (dis)contents: A survey of dataset development and use in machine learning research"
Digitalization in psychology: A bit of challenge and a byte of success
The future of research software is the future of research
Enhancing visibility and inclusivity of queer scientists to advance equality in academia
Evaluating vaccine allocation strategies using simulation-assisted causal modeling
Looking back on forward-looking COVID models
UltraLight VM-UNet: Parallel Vision Mamba significantly reduces parameters for skin lesion segmentation
Data hygiene factors
DRAC 2022: A public benchmark for diabetic retinopathy analysis on ultra-wide optical coherence tomography angiography images
Modeling and simulation of a Tamil language encoder for advanced encryption technologies
Machine-learning-assisted discovery of highly efficient high-entropy alloy catalysts for the oxygen reduction reaction
Neural mechanisms of visual quality perception and adaptability in the visual pathway
ETHOS.REFLOW: An open-source workflow for reproducible renewable energy potential assessments
What's in a Name? How We Named Patterns
Potential carbon emissions reduction from fleet schedule reconfiguration of China's and India's external routes
A visual probability analysis tool for board game designers
To democratize research with sensitive data, we should make synthetic data more accessible
Meteorological data rescue: Citizen science lessons learned from Southern Weather Discovery
Human Data Science
How we measure our impact
Privacy-preserving data sharing via probabilistic modeling
Multi-objective latent space optimization of generative molecular design models
Diversity, Inclusion, and Digital Preservation
Exploring the hidden world of RNA viruses with a transformer-based tool
Reframing research impact
Meet the authors: Yong Chen, Xiqun (Michael) Chen, and Ziyou Gao
Obligations to assess: Recent trends in AI accountability regulations
Affirming our commitment to diversity, equity, and inclusion
Don't lose samples to estimation
Architecting data-driven microbial electrochemistry from scratch
The role of the African value of Ubuntu in global AI inclusion discourse: A normative ethics perspective
Systematizing Effective Practice, Embedding It in Standard Practice
SynapseCLR: Uncovering features of synapses in primary visual cortex through contrastive representation learning
Comprehensively identifying Long Covid articles with human-in-the-loop machine learning
Generative modeling of single-cell gene expression for dose-dependent chemical perturbations
GastritisMIL: An interpretable deep learning model for the comprehensive histological assessment of chronic gastritis
The QGIS project: Spatial without compromise
Connecting the dots: The boons and banes of network modeling
Deep learning for detecting and elucidating human T-cell leukemia virus type 1 integration in the human genome
Exploring energy grid resilience: The impact of data, prosumer awareness, and action
The stacking cell puzzle
TDAExplore: Quantitative analysis of fluorescence microscopy images through topology-based machine learning
Data-driven discovery of medication effects on blood glucose from electronic health records
A federated learning architecture for secure and private neuroimaging analysis
Progress toward a comprehensive teaching approach to the FAIR data principles
DeepND: Deep multitask learning of gene risk for comorbid neurodevelopmental disorders
The homeschooling timetable blanket
EMBEDR: Distinguishing signal from noise in single-cell omics data
Federated learning for multi-omics: A performance evaluation in Parkinson's disease
What Have Games Got to Do with Me?
Artificial intelligence-assisted drug repurposing via "chemical-induced gene expression ranking"
Paper vs. practice: How legal and ethical frameworks influence public sector data professionals in the Netherlands
The Medical Futurist Institute: A vision about the technological future of healthcare
Privacy-preserving federated neural network learning for disease-associated cell classification
Growing the pattern: Our first year
Why We Need to Bust Some Myths about AI
Integrated Value of Influence: An Integrative Method for the Identification of the Most Influential Nodes within Networks
Incorporating simulated spatial context information improves the effectiveness of contrastive learning models
Meet the authors: Nicholas Kluge Corrêa and Camila Trindade Galvão
Exit through the App Store?
Mapping research topics at multiple levels of detail
Meta-learning for fake news detection surrounding the Syrian war: An interview with co-author Roaa Al Feel
Transitive Sequencing Medical Records for Mining Predictive and Interpretable Temporal Representations
EmptyNN: A neural network based on positive and unlabeled learning to remove cell-free droplets and recover lost cells in scRNA-seq data
Toward structuring real-world data: Deep learning for extracting oncology information from clinical text with patient-level supervision
Density physics-informed neural networks reveal sources of cell heterogeneity in signal transduction
Long-sequence voltage series forecasting for internal short circuit early detection of lithium-ion batteries
Cortical similarities in psychiatric and mood disorders identified in federated VBM analysis via COINSTAC
Harvesting Patterns from Textual Web Sources with Tolerance Rough Sets
EXSCLAIM!: Harnessing materials science literature for self-labeled microscopy datasets
Generating hard-to-obtain information from easy-to-obtain information: Applications in drug discovery and clinical inference
Navigating COP16's digital sequence information outcomes: What researchers need to do in practice
An objective quantitative diagnosis of depression using a local-to-global multimodal fusion graph neural network
Reliance on metrics is a fundamental challenge for AI
Toward machine learning-enhanced high-throughput experimentation for chemistry
Designing a large language model for chemists
Can counterfactual explanations of AI systems' predictions skew lay users' causal intuitions about the world? If so, can we correct for that?
Optimizing human-centered AI for healthcare in the Global South
Computational workflows for natural and biomedical image processing based on hypercomplex algebras
Linking scientific instruments and computation: Patterns, technologies, and experiences
Early prediction and longitudinal modeling of preeclampsia from multiomics
Machine learning for predicting readmission risk among the frail: Explainable AI for healthcare
Deep learning-based risk prediction for interventional clinical trials based on protocol design: A retrospective study
Toward an idiomatic framework for cognitive robotics
Quantifying the advantage of domain-specific pre-training on named entity recognition tasks in materials science
Ada Lovelace Day and Celebrating Women in STEM
Transfer learning: The key to functionally annotate the protein universe
A method to establish functional vagus nerve topography from electro-neurographic spontaneous activity
The non-linear impact of data handling on network diffusion models
Fidelity-agnostic synthetic data generation improves utility while retaining privacy
A Machine Learning-Aided Global Diagnostic and Comparative Tool to Assess Effect of Quarantine Control in COVID-19 Spread
Inferring gene regulatory networks from single-cell RNA-seq temporal snapshot data requires higher-order moments
Functional microRNA-targeting drug discovery by graph-based deep learning
Starting a synthetic biological intelligence lab from scratch
Avoiding common machine learning pitfalls
Meet the authors: Rita González-Márquez, Philipp Berens, and Dmitry Kobak
Using machine learning to identify important predictors of COVID-19 infection prevention behaviors during the early phase of the pandemic
Decontextualized learning for interpretable hierarchical representations of visual patterns
How our authors are using AI tools in manuscript writing
Topic Modeling Uncovers Shifts in Media Framing of the German Renewable Energy Act
Msuite: A High-Performance and Versatile DNA Methylation Data-Analysis Toolkit
An evaluation of synthetic data augmentation for mitigating covariate bias in health data
A critical review of the Online Safety Bill
A weighted two-stage sequence alignment framework to identify motifs from ChIP-exo data
A review of explainable AI in the satellite data, deep machine learning, and human poverty domain
CURE: A deep learning framework pre-trained on large-scale patient data for treatment effect estimation
RATING: Medical knowledge-guided rheumatoid arthritis assessment from multimodal ultrasound images via deep learning
A Review of Super-Resolution Single-Molecule Localization Microscopy Cluster Analysis and Quantification Methods
Accelerating health system innovation: principles and practices from the Duke Institute for Health Innovation
Artificial Intelligence Meets Citizen Science to Supercharge Ecological Monitoring
Response to "Low cost, uncertain value: Why cheap PV may still not become UK's main power source"
A cardiologist-like computer-aided interpretation framework to improve arrhythmia diagnosis from imbalanced training datasets
Zooming in on the brain via data science
Obtaining spatially resolved tumor purity maps using deep multiple instance learning in a pan-cancer study
Recalibrating academic expertise in the age of generative AI
Current progress and open challenges for applying artificial intelligence across the in vitro fertilization cycle
A FAIR, open-source virtual reality platform for dendritic spine analysis
FHBF: Federated hybrid boosted forests with dropout rates for supervised learning tasks across highly imbalanced clinical datasets
The AI for Scientific Discovery Network +
Machine-learning-enhanced time-of-flight mass spectrometry analysis
Data Ethics Club: Creating a collaborative space to discuss data ethics
Decoding multi-joint hand movements from brain signals by learning a synergy-based neural manifold
Bioconductor: Planning a third decade of comprehensive support for genomic data science
Tracking online low-rank approximations of higher-order incomplete streaming tensors
Diet during the COVID-19 pandemic: An analysis of Twitter data
Identification of Intrinsic Drug Resistance and Its Biomarkers in High-Throughput Pharmacogenomic and CRISPR Screens
AIDMAN: An AI-based object detection system for malaria diagnosis from smartphone thin-blood-smear images
An interpretable deep-learning model for early prediction of sepsis in the emergency department
Rejewski & Enigma
A proposal in Brazil to use generative AI in education threatens quality and equity
Consultative engagement of stakeholders toward a roadmap for African language technologies
Navigating color integrity in data visualization
Massive Monte Carlo simulations-guided interpretable learning of two-dimensional Curie temperature
Multiplex gene quantification as digital markers for extremely rapid evaluation of chemo-drug sensitivity
Machine-learning-assisted rational design of 2D doped tellurene for fin field-effect transistor devices
A conversation with research software engineers at the International Brain Laboratory
A k-nearest neighbor space-time simulator with applications to large-scale wind and solar power modeling
Structured deep embedding model to generate composite clinical indices from electronic health records for early detection of pancreatic cancer
An archival perspective on pretraining data
A multi-dimensional approach to the future of digital research infrastructure for systemic environmental science
Service Oriented Enterprise and Contracted Profit Sharing
Towards a Framework for Weaving Social Networks Into Mobile Commerce
Applications of Social Media in Academic Library Services: A Case of the Hong Kong Polytechnic University Library
Regulatory Requirements Compliance in Requirements Engineering: A Systematic Classification and Analysis
The Social Psychology of Cryptocurrency: Do Accounting Standard-Setters Understand the Users?
Governance of Cross-Organizational Healthcare Document Exchange through Watermarking Services and Alerts
Building and Operating a System to Promote Regional Competitive Industries Through Cross-Sectoral Collaborations: Findings From the Experience in Germany
Providing Engineering Services With Smart Objects: An Active Big Data Approach
Big Data: The Path to Maturity
Using Description Logics for the Provision of Context-Driven Content Adaptation Services
An Adaptive System for Retrieval and Composition of Learning Objects
Developing Rich Internet Applications as Social Sites on the Semantic Web: A Model-Driven Approach
Lightweight and Secure Image Segmentation-Based Consensus Mechanism
Dynamic Business Collaborations Through Contract Services
A Framework for Developing Management Intelligent Systems
Exploring the Use of Social Media to Advance K12 Science Education
Clustering-Based Approach for Clustering Journals in Computer Science
A Service-Oriented Foundation for Big Data
RFID Enabled Vehicular Network for Ubiquitous Travel Query
Flexible Provenance Tracing
Capacity-Driven Web Services: Concepts, Definitions, Issues, and Solutions
Hybrid Regression Testing Based on Path Pruning
Multidimensional Ontology-Based Information Retrieval for Academic Counseling
Context, Gender and Intended Use of Mobile Messaging, Entertainment and Social Media Services
Assessment of Technology Acceptance in Intensive Care Units
Business Intelligence and Analytics Cost Accounting: An Empirical Study of the Perceptions of Stakeholders and Their Implications
A Graph Transformation Approach for Modeling UML Diagrams
AIWAS: The Automatic Identification of Web Attacks System
Refactoring Flash Embedding Methods
Impact of Fault-Prone Components on Effective Software Testing: An Industrial Survey
Empowering Microfinance Processes through Hybrid Cloud Based Services
Tourists' Mobile Information Seeking Behavior: An Investigation on China's Youth
ODACE SLA: Ontology Driven Approach for Automatic Establishment of Service Level Agreements
Non-Monotonic Modeling for Personalized Services Retrieval and Selection
Requirement Prioritization of Complex Web 2.0 Application based on Effects on Regression Testing: A Hybrid Approach
OPAC Usability Problems of Archives: A Case Study of the Hong Kong Film Archive
Business Model for Mobile Payment in China
Knowledge Capture in E-Services Development: A Prosperous Marriage?
Knowledge Extraction from a Computational Consumer Model Based on Questionnaire Data Observed in Retail Service
Empirical Research on the Profitability of R&D Expenditure: Estimations Based on Firm-level Accounting Data in the Japanese Textile Industry
Ethics and Social Networking: An Interdisciplinary Approach to Evaluating Online Information Disclosure
Integrating Big Data Services Into an Undergraduate MIS Curriculum
Japanese R&D Profitability: Industry Production Function Estimation Using Panel Data
A Detailed Framework for SOA Governance
Enforcing ASTD Access-Control Policies with WS-BPEL Processes in SOA Environments
A Multi-Criteria Allocation Strategy for Provisioning Cloud Resources
A Scalable Big Stream Cloud Architecture for the Internet of Things
SLIM: Service Location and Invocation Middleware for Mobile Wireless Sensor and Actuator Networks
A Service-Oriented User Interface for the Next Generation Web
Facilitating Biodefense Research with Mobile-Cloud Computing
FTT: A System to Refactor Traditional Forms into Ajax-Enabled Forms
A Survey of Web Services Provision
Metadata Design of a Content Management System for Music Virtual Learning Environment
Social Networks Discovery Based on Information Retrieval Technologies and Bees Swarm Optimization: Application to DBLP
Software Change Impact Analysis: An Approach to Compute and Prioritize Impacted Functions in Software Systems
Workforce Information Needs for Vocational Guidance System Design
Resource Scheduling Techniques in Utility Computing: A Survey
An Investigation into the Impact of Ethnicity and Culture on the Motivation for using Facebook for Academics and Socialization in Guam
Adaptive Virtual Machine Management in the Cloud: A Performance-Counter-Driven Approach
Composition of Optimal Service Workflows with Quality-of-Service Enabled Multi-Criteria Uniform Cost Search Algorithm
Linked USDL Extension for Describing Business Services and Users' Requirements in a Cloud Context
Conceptual Model for Specialized Learning Systems within Organizations
Advanced Temporal Constraints for Business Processes Modelling and Execution
Developing a Blockchain Solution for West Virginia Medicinal Cannabis
Integration With Docker Container Technologies for Distributed and Microservices Applications: A State-of-the-Art Review
Understanding the Role of Knowledge Management in Software Development: A Case Study in Very Small Companies
On the Concept of Automatic User Behavior Profiling of Websites
Enhancing CAPTCHA Security Using Interactivity, Dynamism, and Mouse Movement Patterns
Fast Fashion Store Image, Customer Satisfaction and Loyalty on the Young Vietnamese Perspective
Segmentation Matters: An Exploratory Study of Mobile Service Users
Fast Data Processing for Large-Scale SOA and Event-Based Systems
Information Needs of Vocational Training From Training Providers' Perspectives
Revisiting Software Engineering in the Social Era
Context and Trust Based Adaptive Security for Accessing Services in Ubiquitous Computing Environment
Investigating the Role of Service Encounter in Enhancing Customer Satisfaction
RT-Llama: Providing Middleware Support for Real-Time SOA
Activity Theory to Guide Online Collaborative Learning Instructional Design
Enhancing Security and Trust in Named Data Networking using Hierarchical Identity Based Cryptography
Engineering e-Collaboration Services with a Multi-Agent System Approach
SOAda: A New Architecture to Enrich SOA with a Decisional Aspect
Sourcing Requirements and Designs for Software as a Service
A Method to Support Fault Tolerance Design in Service Oriented Computing Systems
Exploiting Codified User Task Knowledge to Discover Services at Design-Time
A Holistic Trust Management Leasing Algorithm for IaaS Cloud
A Multi-Level Framework for Validation of Ontology-Driven and Community-Based Web Services Composition
An Analysis of the Internal Consistency of the New Accounting Standard for Virtual Currencies in Generally Accepted Japanese Accounting Principles: A Virtual Currency User Perspective
Deep Neural Network-Based Crime Prediction Using Twitter Data
Secure Key Generation for Static Visual Watermarking by Machine Learning in Intelligent Systems and Services
Mobile Learning Usage of LIS Students in Mainland China
Alert Driven Communications Management for Children Music Learning Based on Suzuki Method
Understanding Cyber Security: A Review of the Cyber Security and Data Protection Bill in Zimbabwe