yusuke1997/dblp-id-title huggingface dataset:
Moving beyond "algorithmic bias is a data problem"
Data visualization explorer: A tool for participant representation in pivotal trials of FDA-approved medicinal products
Phe2vec: Automated disease phenotyping based on unsupervised embeddings from electronic health records
A review of dynamical systems approaches for the detection of chaotic attractors in cancer networks
On the transparency of large AI models
Drone flight data reveal energy and greenhouse gas emissions savings for very small package delivery
Pan-microalgal dark proteome mapping via interpretable deep learning and synthetic chimeras
Model interpretability enhances domain generalization in the case of textual complexity modeling
Reliable imputation of spatial transcriptomes with uncertainty estimation and spatial regularization
Achieving handle-level random access in an encrypted DNA archival storage system via frequency dictionary mapping coding
Pyomo: Accidentally outrunning the bear
Auto-annotating sleep stages based on polysomnographic data
Women, AI, and the Power of Supporting Communities: A Digital Gender-Support Partnership
Application of particle swarm optimization to understand the mechanism of action of allosteric inhibitors of the enzyme HSD17β13
The Ontologies Community of Practice: A CGIAR Initiative for Big Data in Agrifood Systems
Coordination of network heterogeneity and individual preferences promotes collective fairness
A guide to backward paper writing for the data sciences
Revealing drivers and risks for power grid frequency stability with explainable AI
The potential of self-supervised learning in embryo selection for IVF success
Machine-Learning Approaches in COVID-19 Survival Analysis and Discharge-Time Likelihood Prediction Using Clinical Data
TCGA-Reports: A machine-readable pathology report resource for benchmarking text-based AI models
Fair enough: A sideways look
The inadequacy of offline large language model evaluations: A need to account for personalization in model behavior
Machine learning and network medicine approaches for drug repositioning for COVID-19
The roles, challenges, and merits of the p value
Safe Blues: The case for virtual safe virus spread in the long-term fight against epidemics
A database of zooplankton abundance in the Atlantic sectors of the Southern and sub-Arctic Oceans
The risk of re-identification remains high even in country-scale location datasets
AI Naturalists Might Hold the Key to Unlocking Biodiversity Data in Social Media Imagery
Bi-level graph learning unveils prognosis-relevant tumor microenvironment patterns in breast multiplexed digital pathology
Considering the ethical implications of digital collaboration in the Food Sector
A novel quantum algorithm for efficient attractor search in gene regulatory networks
Linking ion channel gene expression to neuronal firing patterns through a statistical-biophysical model
Toward ordered -omics data science: Researchers on the magic of turning metagenomic chaos into image-like patterns
A reframed landscape of causal emergence
Advancing LGBTQ+ inclusion in STEM education and AI research
A Tale of Two Cities: Reflections on Digital Technology and the Natural Environment
HCGA: Highly comparative graph analysis for network phenotyping
Lessons from the EU AI Act
An artificial intelligence life cycle: From conception to production
reval: A Python package to determine best clustering solutions with stability-based relative clustering validation
A fine-grained network for human identification using panoramic dental images
Do We Need a Coronavirus (Safeguards) Act 2020? Proposed Legal Safeguards for Digital Contact Tracing and Other Apps in the COVID-19 Crisis
Hierarchical confounder discovery in the experiment-machine learning cycle
A graph-traversal approach to identify influential nodes in a network
Federated learning of molecular properties with graph neural networks in a heterogeneous setting
Complex Network Representation of the Structure-Mechanical Property Relationships in Elastomers with Heterogeneous Connectivity
Artificial intelligence to shed light on the algal dark proteomes
Knowledge-guided deep learning models of drug toxicity improve interpretation
Improving reduced-order models through nonlinear decoding of projection-dependent outputs
A deep-learning method for the end-to-end prediction of intracranial aneurysm rupture risk
Measuring disparate outcomes of content recommendation algorithms with distributional inequality metrics
Accounting for uncertainty during a pandemic
VONet: A deep learning network for 3D reconstruction of organoid structures with a minimal number of confocal images
Unlocking Elementary Conversion Modes: ecmtool Unveils All Capabilities of Metabolic Networks
AISleep: Automated and interpretable sleep staging from single-channel EEG data
Design for financial sustainability
The Uruguayan Digital Data Journey
FedEYE: A scalable and flexible end-to-end federated learning platform for ophthalmology
S 3 -CIMA: Supervised spatial single-cell image analysis for identifying disease-associated cell-type compositions in tissue
How Could COVID-19 Change Scholarly Communication to a New Normal in the Open Science Paradigm?
Causal interactions from proteomic profiles: Molecular data meet pathway knowledge
Malicious source code detection using a translation model
CALANGO: A phylogeny-aware comparative genomics tool for discovering quantitative genotype-phenotype associations across species
Cross-Modal Data Programming Enables Rapid Medical Machine Learning
Meta-learning for fake news detection surrounding the Syrian war
Privacy preservation for federated learning in health care
Preview of: A Primer on Motion Capture with Deep Learning: Principles, Pitfalls, and Perspectives
Information about immune cell proportions and tumor stage improves the prediction of recurrence in patients with colorectal cancer
Folding paper models of biostructures for outreach and education
Citizen science as a data-based practice: A consideration of data justice
Unraveling neural coding of dynamic natural visual scenes via convolutional recurrent neural networks
AutoStepfinder : A fast and automated step detection method for single-molecule analysis
Automating quantum computing laboratory experiments with an agent-based AI framework
Learning across diverse biomedical data modalities and cohorts: Challenges and opportunities for innovation
Data justice and data solidarity
AnnoMate: Exploring and annotating integrated molecular data through custom interactive visualizations
Exploring the reversal curse and other deductive logical reasoning in BERT and GPT-based large language models
Discover immunotherapy biomarkers from single-cell cytometry data
SIMBA: A robust and generalizable measure of data imbalance
Building a best-in-class automated de-identification tool for electronic health records through ensemble learning
Data Science for Virtual Tourism Using Cutting-Edge Visualizations: Information Geometry and Conformal Mapping
SASC: A simple approach to synthetic cohorts for generating longitudinal observational patient cohorts from COVID-19 clinical data
Polar biodiversity data: From a national marine platform to a global data portal
How transparency modulates trust in artificial intelligence
In medicine, how do we machine learn anything real?
Leveraging quantum computing for dynamic analyses of logical networks in systems biology
Artisanal and Industrial: The Different Methods of Data Creation
Exploiting noise as a resource for computation and learning in spiking neural networks
Animal behavior and animal personality from a non-human perspective: Getting help from the machine
Evaluation of unsupervised learning algorithms for the classification of behavior from pose estimation data
Two researchers share how their cross disciplinary collaboration enables work to guide the future of data science
A systematic literature review on persuasive technology at the workplace
DSM: Deep sequential model for complete neuronal morphology representation and feature extraction
A Learning-Based Model to Evaluate Hospitalization Priority in COVID-19 Pandemics
Contrastive learning of heart and lung sounds for label-efficient diagnosis
Improving antibody language models with native pairing
A journey toward artificial intelligence-assisted automated sleep scoring
A brain-inspired theory of mind spiking neural network improves multi-agent cooperation and competition
Ada Lovelace: A Simple Solution to a Lengthy Controversy
Uncovering drivers of climate research in policy with pretrained language models
Lag time between state-level policy interventions and change points in COVID-19 outcomes in the United States
Peter Fox (1959-2021)
MANGEM: A web app for multimodal analysis of neuronal gene expression, electrophysiology, and morphology
Can an accurate model be bad?
Looking through glass: Knowledge discovery from materials science literature using natural language processing
Quantifying the predictability of renewable energy data for improving power systems decision-making
SIMON: Open-Source Knowledge Discovery Platform
Privacy-preserving local analysis of digital trace data: A proof-of-concept
Multivariate landscapes constructed by Bayesian estimation over five hundred microbial electrochemical time profiles
Why the Environmental Data & Governance Initiative is archiving public environmental data
MetaGate: Interactive analysis of high-dimensional cytometry data with metadata integration
Why brain organoids are not conscious yet
Explainability and human intervention in autonomous scanning probe microscopy
FoodSky: A food-oriented large language model that can pass the chef and dietetic examinations
Responsible data science is a responsibility for all
End the AI detection arms race
Predicting drug response through tumor deconvolution by cancer cell lines
Aligning large language models and geometric deep models for protein representation
Navigating the "Kessel Run" of digital materials acceleration
Transcriptomic mapping of the 5-HT receptor landscape
Disease mapping and innovation: A history from wood-block prints to Web 3.0
DiffuSETS: 12-Lead ECG generation conditioned on clinical text reports and patient-specific information
Oner, Sung, and Lee: Researchers in digital pathology for the future of modern medicine
MDIC3: Matrix decomposition to infer cell-cell communication
Selection of 51 predictors from 13, 782 candidate multimodal features using machine learning improves coronary artery disease prediction
Machine learning applications for therapeutic tasks with genomics data
Leveraging cell-cell similarity for high-performance spatial and temporal cellular mappings from gene expression data
Physiology as a Lingua Franca for Clinical Machine Learning
Explainability pitfalls: Beyond dark patterns in explainable AI
Connected Research: The Potential of the PID Graph
Physicians should build their own machine-learning models
How our advisory board members are using generative AI in teaching
Sentiment Analysis of Conservation Studies Captures Successes of Species Reintroductions
Data, Inspiration, and the New Year
Identifying Data Sharing and Reuse with Scholix: Potentials and Limitations
Cellular signaling pathways as plastic, proto-cognitive systems: Implications for biomedicine
Data Sharing in a Time of Pandemic
Toward automated and explainable high-throughput perturbation analysis in single cells
Afro Algorithms : Imagining new possibilities for race, technology, and the future through animated storytelling
Accurate, interpretable predictions of materials properties within transformer language models
Data visualization for Industry 4.0: A stepping-stone toward a digital future, bridging the gap between academia and industry
The widespread adoption of large language model-assisted writing across society
An intra-host SARS-CoV-2 dynamics model to assess testing and quarantine strategies for incoming travelers, contact management, and de-isolation
Secondary analysis of transcriptomes of SARS-CoV-2 infection models to characterize COVID-19
Highlighting the achievements and impact of women in data science
A supervised take on dimensionality reduction via hybrid subset selection
Compressive sensing of functional connectivity maps from patterned optogenetic stimulation of neuronal ensembles
gfoRmula: An R Package for Estimating the Effects of Sustained Treatment Strategies via the Parametric g-formula
Three Lessons from Accelerating Scientific Insight Discovery via Visual Querying
AI-generated research paper fabrication and plagiarism in the scientific community
ACSNI: An unsupervised machine-learning tool for prediction of tissue-specific pathway components using gene expression profiles
Biology-inspired graph neural network encodes reactome and reveals biochemical reactions of disease
DIMPLE: An R package to quantify, visualize, and model spatial cellular interactions from multiplex imaging with distance matrices
Sleep staging through an unsupervised learning lens
International Space Station Open-Source Data
Methods for identifying emergent concepts in deep neural networks
The carbon and water footprints of data centers and what this could mean for artificial intelligence
Nature visible only digitally
Barely sufficient practices in scientific computing
Tucano: Advancing neural text generation for Portuguese
Quantitative evaluation of explainable graph neural networks for molecular property prediction
RePower: An LLM-driven autonomous platform for power system data-guided research
Model-Driven Decision Making in Multiple Sclerosis Research: Existing Works and Latest Trends
A high-level overview of AI ethics
RummaGEO: Automatic mining of human and mouse gene sets from GEO
Understanding the host-pathogen evolutionary balance through Gaussian process modeling of SARS-CoV-2
Revisiting the Links-Species Scaling Relationship in Food Webs
Lessons from complex systems science for AI governance
Unleashing the potential of prompt engineering for large language models
Data-knowledge co-driven innovations in engineering and management
The Sleep Blanket
Physical scientist or a data scientist? A journey between disciplines
SplitFusion enables ultrasensitive gene fusion detection and reveals fusion variant-associated tumor heterogeneity
Latent representation learning in biology and translational medicine
Codabench: Flexible, easy-to-use, and reproducible meta-benchmark platform
MERGE: A model for multi-input biomedical federated learning
Humans versus machines: Who is perceived to decide fairer? Experimental evidence on attitudes toward automated decision-making
Bringing AI participation down to scale
Understanding emerging patterns and dynamics through the lenses of the cyber-physical universe
From Ethnomethodologist to Data Lover: How I Became a Keen Advocate for Using Administrative Data
Meet the authors: Zixin Jiang and Bing Dong
How to be responsible in all the steps of a data science pipeline: The case of the Italian public sector
Is using ChatGPT cheating, plagiarism, both, neither, or forward thinking?
BlockNet: Beyond reliable spatial Digital Twins to Parallel Metaverse
ProLesA-Net: A multi-channel 3D architecture for prostate MRI lesion segmentation with multi-scale channel and spatial attentions
Analyzing the impact of a real-life outbreak simulator on pandemic mitigation: An epidemiological modeling study
TriNet: A tri-fusion neural network for the prediction of anticancer and antimicrobial peptides
A consensus privacy metrics framework for synthetic data
From Regression Analysis to Deep Learning: Development of Improved Proxy Measures of State-Level Household Gun Ownership
Mechanical improvement of boron nitride nanosheet-reinforced cement paste by multiscale modeling
The overfitted brain hypothesis
Optimal shrinkage denoising breaks the noise floor in high-resolution diffusion MRI
Facing the possibility of consciousness in human brain organoids
Dignity, properly used, could be a useful construct in AI ethics
Bias-variance decomposition of absolute errors for diagnosing regression models of continuous data
Creating ethics guidelines for artificial intelligence and big data analytics customers: The case of the consumer European insurance market
Revealing factors influencing polymer degradation with rank-based machine learning
Machine Learning Maps Research Needs in COVID-19 Literature
Data Science Degree Apprentice
Interdependent Networks: A Data Science Perspective
Hydrogen storage in MOFs: Machine learning for finding a needle in a haystack
Personalizing self-management via behavioral predictive analytics with health education for improved self-efficacy
Gender bias, social bias, and representation: 70 years of B H ollywood
Generative Adversarial Networks in Digital Pathology: A Survey on Trends and Future Potential
Neural algorithmic reasoning
Meet the authors: Georgios Rizos, Jenna L. Lawson, and Björn W. Schuller
Geometric graphs from data to aid classification tasks with Graph Convolutional Networks
Looking forward to the new year
A latent transfer learning method for estimating hospital-specific post-acute healthcare demands following SARS-CoV-2 infection
A community effort to identify and correct mislabeled samples in proteogenomic studies
Uncovering social-contextual and individual mental health factors associated with violence via computational inference
Self-Protection versus Fear of Stricter Firearm Regulations: Examining the Drivers of Firearm Acquisitions in the Aftermath of a Mass Shooting
Cell-Type-Specific Proteogenomic Signal Diffusion for Integrating Multi-Omics Data Predicts Novel Schizophrenia Risk Genes
New interpretable machine-learning method for single-cell data reveals correlates of clinical response to cancer immunotherapy
Reinforcing the role of competition platforms
Keeping generative artificial intelligence reliable in omics biology
Responsible and accountable data science
Wiz: A Web-Based Tool for Interactive Visualization of Big Data
Data-driven evaluation of electric vehicle energy consumption for generalizing standard testing to real-world driving
COVIDStrategyCalculator: A software to assess testing and quarantine strategies for incoming travelers, contact management, and de-isolation
Taking a fresh look at FAIR for research software
Cross-modal contrastive learning for unified placenta analysis using photographs
Multi-input convolutional network for ultrafast simulation of field evolvement
Consider this a WARNing
Recovering large-scale battery aging dataset with machine learning
Network-based virus-host interaction prediction with application to SARS-CoV-2
The Role of Digital Technologies in Responding to the Grand Challenges of the Natural Environment: The Windermere Accord
A hierarchically annotated dataset drives tangled filament recognition in digital neuron reconstruction
The hidden dimension of open science: "Peopleware"
Discovering the nuclear localization signal universe through a deep learning model with interpretable attention units
Predictive remapping and allocentric coding as consequences of energy efficiency in recurrent neural network models of active vision
DPHL v.2: An updated and comprehensive DIA pan-human assay library for quantifying more than 14,000 proteins
Unraveling overoptimism and publication bias in ML-driven science
NeuriTES. Monitoring neurite changes through transfer entropy and semantic segmentation in bright-field time-lapse microscopy
A robust and efficient AI assistant for breast tumor segmentation from DCE-MRI via a spatial-temporal framework
The Bird Is Not the Migration Data: Insights from an Artwork Exploring Machine-Animal Collaboration
Inferring CTCF-binding patterns and anchored loops across human tissues and cell types
The landscape of biomedical research
COVID-19 and the differential dilemma
Addressing the critical need for open experimental databases in materials science
Accurate prediction of virus-host protein-protein interactions via a Siamese neural network using deep protein sequence embeddings
Random Forest Models for Accurate Identification of Coordination Environments from X-Ray Absorption Near-Edge Structure
Unraveling the morphological complexity of two-dimensional macromolecules
Facets of AGI: Where Science Meets Spirituality
Deciphering the language of antibodies using self-supervised learning
BioLLM: A standardized framework for integrating and benchmarking single-cell foundation models
Walking on the thin intersectional lines of disciplines
The role of metadata in reproducible computational research
Patterns of Reliability: Assessing the Reproducibility and Integrity of DNA Methylation Measurement
The impact of public acceptance on cost efficiency and environmental sustainability in decentralized energy systems
Ready, Steady, Go AI: A practical tutorial on fundamentals of artificial intelligence and its applications in phenomics image analysis
How quantum computing can enhance biomarker discovery
Self-supervised graph representation learning integrates multiple molecular networks and decodes gene-disease relationships
Bridging Domain and Data
ADSeg: A flap-attention-based deep learning approach for aortic dissection segmentation
What can data science tell us about finding new superconductors?
Shattering cancer with quantum machine learning: A preview
Insights into transportation CO2 emissions with big data and artificial intelligence
Autonomous language-image generation loops converge to generic visual motifs
The heterogeneous driving forces behind carbon emissions change in 30 selective emerging economies
Providing AI expertise as an infrastructure in academia
Advancing sensory neuroprosthetics using artificial brain networks
Antibody structure prediction using interpretable deep learning
Super-compression of large electron microscopy time series by deep compressive sensing learning
Spaco: A comprehensive tool for coloring spatial data at single-cell resolution
A survey of multilingual large language models
The Pandemic Lens: Focusing across Time Scales for Local-Global Sustainability
Intelligent Electromagnetic Sensing with Learnable Data Acquisition and Processing
DeepDecon accurately estimates cancer cell fractions in bulk RNA-seq data
Artificial nervous systems - A new paradigm for artificial intelligence
DADApy: Distance-based analysis of data-manifolds in Python
HistoChat: Instruction-tuning multimodal vision language assistant for colorectal histopathology on limited data
Why are some plants taller? Researchers on the unveiling of genetic variation associated with complex quantitative phenotypes
The DIRAC framework: Geometric structure underlies roles of diversity and accuracy in combining classifiers
Strategies to include prior knowledge in omics analysis with deep neural networks
Viral Science: Masks, Speed Bumps, and Guard Rails
Using collective curation to pay data forward in the life cycle
Developing tools for analyzing and viewing multiplexed images
The real climate and transformative impact of ICT: A critique of estimates, trends, and regulations
A scale-dependent measure of system dimensionality
A snapshot of a pandemic: The interplay between social isolation and COVID-19 dynamics in Brazil
Backpropagation with biologically plausible spatiotemporal adjustment for training deep spiking neural networks
A critical period for developing face recognition
Uncovering the complexities of biological structures with network-based learning: An application in SARS-CoV-2
Evolutionary characteristics of global offshore carbon emissions network and responsibility allocation of emissions reduction
Application of Aligned-UMAP to longitudinal biomedical studies
Calibrating workers' trust in intelligent automated systems
Inclusion, complexity, and not being able to do it all alone
RaFAH: Host prediction for viruses of Bacteria and Archaea based on protein content
No legal personhood for AI
The End-to-End Provenance Project
Decorrelative network architecture for robust electrocardiogram classification
Autonomous scanning probe microscopy with hypothesis learning: Exploring the physics of domain switching in ferroelectric materials
Toward human intervention-free clinical diagnosis of intracranial aneurysm via deep neural network
SECONDGRAM: Self-conditioned diffusion with gradient manipulation for longitudinal MRI imputation