yusuke1997/dblp-id-title huggingface dataset:
A Pyramidal Feature Selection and Translation Approach for Large Deformation Image Registration
TADBay: A Bayesian Construction of Topologically Associated Domains
Prediction of proteasomal cleavage sites using PCPS
GCS-ICHNet: Assessment of Intracerebral Hemorrhage Prognosis using Self-Attention with Domain Knowledge Integration
Predicting Microbe-Metabolite Interactions by Integrating Non-negative Matrix Factorization and Generative Network
VentSR: A Self-Rectifying Deep Learning Method for Extubation Readiness Prediction
Feature study of conversion blindness on functional network with aggregation of local key information
Layerwise feature selection in Stacked Sparse Auto-Encoder for tumor type prediction
Supervised Mixture Models for Population Health
Generation of novel encrypted code using cryptography for multiple level data security for Electronic Patient Record
Imaging-genetic data mapping for clinical outcome prediction via supervised conditional Gaussian graphical model
Metabolomic profiling for biomarker discovery in pancreatic cancer
Analysis of heart rate response to sleep apnea events in patients with Parkinson's disease
Exploration of topological torsion fingerprints
Estimating Brain Effective Connectivity in fMRI data by Non-stationary Dynamic Bayesian Networks
Toxicity Prediction Using Pre-trained Autoencoder
Better Understand Rare Disease Patients' Needs by Analyzing Social Media Data - a Case Study of Cystic Fibrosis
Discriminative Graph Representation Learning with Distributed Sampling
Identifying Main and Epistasis Effects of Genetic Variations on Neuroimaging Phenotypes Using Effective Feature Interaction Learning
Drug-Protein-Disease Association Prediction and Drug Repositioning Based on Tensor Decomposition
Using Biological Processes as Prior Knowledge Identifies New Microglial Immune Signatures at Single Cell Level in Alzheimer's Disease
Geostatistical visualization of ecological interactions in tumors
Feature selections using AdaBoost: Application in gene-gene interaction detection
Leveraging Vote and Cooperate Mechanism for Brain Tumor Segmentation
MS-EBDL: Reliable Glaucoma Assessment via Sufficient Epistemic Uncertainty
Lung deformation estimation using spatially mean shift for 4D-CT
Cardiotoxicity Prediction Based on Integreted hERG Database with Molecular Convolution Model
Cross-Modality Generation of Amyloid PET from FDG PET for Alzheimer's Disease Diagnosis
Seizure prediction with long-term iEEG recordings: What can we learn from data nonstationarity?
Multi-Slice Spatial Transcriptomics Data Integration Analysis with STG3Net
Evidence of positive selection on D-lactate dehydrogenases in Lactobacillus delbrueckii subsp. bulgaricus
Maps, rates, and fuzzy mountains: Generating meaningful risk maps
Optimal Modularity Method (OMM) for unbiased TADs detection in chromatin contact maps of single cells
Discover potential adverse drug reactions using the skip-gram model
GraphCPI: Graph Neural Representation Learning for Compound-Protein Interaction
Information and decision-making in dynamic cell signaling
A Simple Yet Effective Hand Pose Tremor Classification Algorithm To Diagnosis Parkinsons Disease
Modeling and formal verification of biological regulatory networks: An integrative approach
The role of Eigen-matrix translation in classification of biological datasets
Knowledge-guided Protein Complex Identification with Fuzzy-based Graph Representation Learning
Predicting HIV Diagnosis Among Emerging Adults Using Electronic Health Records and Health Survey Data in All of Us Research Program
saskPrimer - An automated pipeline for design of intron-spanning PCR primers in non-model organisms
Simulation of ventricular automaticity induced by reducing inward-rectifier K + current
Box2Pseudo: A Semi-Supervised Learning Framework for Pulmonary Nodule Segmentation with Box-Prompt Pseudo Supervision
Split Learning Optimized For The Medical Field: Reducing Communication Overhead
An Efficient Weakly-Supervised Learning Method for Optic Disc Segmentation
Aligning Multiple PPI Networks with Representation Learning on Networks
An Adaptive Ray-Shooting Model for Terminations Detection: Applications in Neuron and Retinal Blood Vessel Images
Efficient Calculation of Structural Similarity Threshold for the SCAN Network Clustering Algorithm
3D tracking swimming fish school using a master view tracking first strategy
Classifying protein crystallization trial images using subordinate color channel
Identification of core-attachment complexes based on maximal frequent patterns in protein-protein interaction networks
PEST: A General-Purpose Protein Embedding Model for Homology Search
Bioinformatics approaches in tuberculosis vaccination strategies by whole genome sequence
Disease Diagnosis based on Multiple Semantic Relationship Prompt Subgraph
A Stacked Ensemble Learning Framework with Heterogeneous Feature Combinations for Predicting ncRNA-Protein Interaction
Comparative analysis of diabetes diagnosis: WE-LSTM networks and WizardLM-powered DiabeTalk chatbot
Determining Dose-Response Characteristics of Molecular Perturbations in Whole-Organism Assays Using Biological Imaging and Machine Learning
Integrating sequence conservation features and a domain-domain interaction network to detect disease-associated nsSNPs
GRPGAT: Predicting CircRNA-disease Associations Based on Graph Random Propagation Network and Graph Attention Network
CoMTAnet: An Enhanced Framework for Sleep Apnea Detection via Contrastive Multi-Temporal Respiratory Signal Analysis
SiS: Significant subnetworks in massive number of network topologies
Application of Static Virus Spread Algorithm in Base-Balanced DNA Fragment Optimization
Consumer Demand Modeling During COVID-19 Pandemic
Analysis of uterine contraction signals
Mining clinical and laboratory data of neurodegenerative diseases by Machine Learning: transcriptomic biomarkers
Automatic EEG Independent Component Classification Using ICLabel in Python
Detecting Novel Structural Variants In Genomes By Leveraging Parent-Child Relatedness
Preliminary study on diurnal variation of pulse signals in TCM
Simulating an Immune Response with a Combined Agent-Based Model of a Triple-Negative Breast Cancer Tumor and Vascular Network
Self-Supervised Rotation Learning for 3D Segmentation on Nasopharyngeal Carcinoma MRI Images
Evaluation of herbal medicine's bioactivity capacity prediction algorithms
Meta Analysis of Microarray Data Using Gene Regulation Pathways
Utilizing Comprehensive Biological Network to Improve Accuracy of Computational Drug Repurposing
A knowledge graph embedding-based method for predicting the synergistic effects of drug combinations
A Novel Non-contrast CT Analysis based Method for Segmenting Epicardial Fat and Exploring the Correlation between Epicardial Fat and Cardiac Function
Emotion classification using deep neural networks and emotional patches
DL2G: Anatomical Landmark Detection with Deep Local Features and Geometric Global Constraint
Optimizing analytical depth and cost efficiency of IEF-LC/MS proteomics
Hierarchical MAP Denoising of Longitudinal Hamilton Depression Rating Scores
FluRF, an automated flu virus reassortment finder based on phylogenetic trees
Automatic and fast registration method for image-guided surgery
A Novel Deterministic-Stochastic Crossover Method for Simulating Biochemical Networks
Imputing Growth Snapshot Similarity in Early Childhood Development: A Tensor Decomposition Approach
Integrate multi-omic data using affinity network fusion (ANF) for cancer patient clustering
Exploratory textual analysis of consumer health languages for people who are D/deaf and hard of hearing
Mining hub-based protein complexes in massive biological networks
A Novel Approach for LncRNA Function Prediction Based on Deep Learning
MotiMul: A significant discriminative sequence motif discovery algorithm with multiple testing correction
A multi-source fusion method to identify biomarkers for breast cancer prognosis based on dual-layer heterogeneous network
A Student Emotions Recognition Based Online Texts with Large Language Models for Learning Prediction
Application of Generative Graph Models in Biological Network Regeneration: A Selective Review and Qualitative Analysis
Weakly Supervised Virtual Immunohistochemistry Staining via Schrödinger Bridge Method
DeepTracer-Denoising: Deep Learning for 3D Electron Density Map Denoising
The identification of microRNAs associated with immune response pathways modulated by ORF8 during SARS-CoV-2 infection: a preliminary in silico analysis
CUDA-LR: CUDA-accelerated logistic regression analysis tool for gene-gene interaction for genome-wide association study
FedPAB: Federated Medical Image Segmentation with Personalized Attention and Boundary-oriented Learning
A machine learning model for disease risk prediction by integrating genetic and non-genetic factors
COLT: COnstrained Lineage Tree Generation from sequence data
DMCTOP: Topology Prediction of Alpha-Helical Transmembrane Protein Based on Deep Multi-Scale Convolutional Neural Network
Transformer-based Multi-target Regression on Electronic Health Records for Primordial Prevention of Cardiovascular Disease
A Graph Method for Predicting Protein-RNA Interaction Using Reduced Amino Acid Alphabets
Fine-Grained Chemical Entity Typing with Multimodal Knowledge Representation
Analysis of the Medication Rules for Treating Thyroid Nodules with Ancient Classic Prescriptions Based on Data Mining
Consensus gene modules identification of cervical cancer and head neck cancer
Fine-tuning a pre-trained Transformers-based model for gene name entity recognition in biomedical text using a customized dataset: case of Desulfovibrio vulgaris Hildenborough
DeepDock: Enhancing Ligand-protein Interaction Prediction by a Combination of Ligand and Structure Information
The chaotic behavior of the endoplasmic-reticulum network in time-lapse microscopy images
Challenges in matching secondary structures in cryo-EM: An exploration
TCM syndrome differentiation of AIDS using subspace clustering algorithm
Why Is a Rule-based Shock Early Warning System Not Accurate: a Case Study
Medication Rule and Mechanism of Action for the Treatment of Mumps Based on Data Mining and Network Pharmacology
Pairwise input neural network for target-ligand interaction prediction
30 Cases of clinical efficacy observation on degenerative cervical spondylosis treated with needle-knife therapy
Novel gene selection method for breast cancer intrinsic subtypes from two large cohort study
A multi-stage protein secondary structure prediction system using machine learning and information theory
A Fast Quantum Clustering Approach for Cancer Gene Clustering
Prediction of Drug-Disease Associations and Their Effects by Signed Network-Based Nonnegative Matrix Factorization
Radiographic Reports Generation via Retrieval Enhanced Cross-modal Fusion
Finding function in the unknown
AffinityLM: Binding-Site Informed Multitask Language Model for Drug-Target Affinity Prediction
2019 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2019, San Diego, CA, USA, November 18-21, 2019
Assessing a Personalized, Hybrid, and Generic Approach for Glucose Prediction in Type 1 Diabetes
FEATURE-pHLA: Physico-chemical features efficiently predict peptide-HLA binding affinity
Boosting Local Causal Discovery in High-Dimensional Expression Data
EEG-MLP: An all-MLP Architecture for EEG Emotion Recognition
Data Integration on Multiple Data Sets
Essential protein identification based on essential protein-protein interaction prediction by integrated edge weights
TOPPER: An algorithm for mining top k patterns in biological sequences based on regularity measurement
PAS-SNP: iOS App with GWAS SNP-Disease Database for Personalized Genomics Research: PAS-SNP for GWAS SNP-Disease
Abdominal acupuncture for Bi syndrome of casino workers in Macau: A randomized controlled trial
EEG-based Seizure Type Classification with Temporal-Spatial-Spectral Attention
Pattern-directed aligned pattern clustering
A skull-face translation network used for generating faces from skulls
LIRNet: Local Integral Regression Network for Both Strongly and Weakly Supervised Nuclei Detection
COPD lifestyle support through self-management (CALS)
Deep Representation Learning for Electron Ionization Mass Spectra Retrieval
Multimodal Emotion Recognition Using CNN-SVM with Data Augmentation
Investigating Potential Natural Antibiotics Plants Based on Unani Formula Using Supervised Network Analysis and Machine Learning Approach
Immunomodulatory activity of herb-partition moxibustion on Stat3 and Stat4 in the mucosa of ulcerative colitis rats
Whole mammogram image classification with convolutional neural networks
Epistasis Detection using Heterogeneous Bio-molecular Network
DeepGOA: Predicting Gene Ontology Annotations of Proteins via Graph Convolutional Network
Investigation on the feasibility of selecting soft tissue elasticity as the objective evaluating indicator of the neck type of cervical spondylosis
A Machine Learning Approach to Motif Finding for LncRNA Sub-cellular Localization
A Self-Attention Synthesizing Model with Privacy-Preserving(ACCT-GAN) for Medical Tabular Data
Intra- and inter-sparse multiple output regression with application on environmental microbial community study
2014 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2014, Belfast, United Kingdom, November 2-5, 2014
A Statistical Optimization Technique to Inform Statistical Resampling Assessments of Phylogenetic Reconstruction Reliability
Mapping conformational pathways between known functional protein states
Functional protein networks underlying the comorbidity of gout and hyperuricemia
Bézier Curves Meet Deep Learning: A Novel Pretraining Method for Improved and Generalized Retinal Vessel Segmentation
Amethod based on network formulaology and network pharmacology for analyzing the correlation and synergy patterns in the compatibility of Traditional Chinese medicine formulas/prescriptions
Whole cancer genome analysis using an I/O aware job scheduler on high performance computing resource
Feature Selection and Classification Reveal Key lncRNAs for Multiple Cancers
ELMDF: A new classification algorithm based on Data Field
A Novel Radiogenomics Framework for Genomic and Image Feature Correlation using Deep Learning
An information-theoretic neural model based on concepts in Chinese medicine
Towards an environment for data mining based analysis processes in bioinformatics & personalized medicine
SLP-T5: A New Method for Predicting Protein Sub-chloroplast Localization Based on Text-to-Text Transfer Transformer
Towards a multi-level framework for supporting systematic review - A pilot study
Hierarchical Distillation Network for Biomedical Event Extraction
Chinese Medicine Tongue Recognition under Data Scarcity Based on the Xingbaohui Platform
Biomedical Event Extraction as Semantic Segmentation
Efficient Sequential and Parallel Algorithms for Incremental Record Linkage Using Complete Linkage Clustering
Graph-Driven Multimodal Information Model for Robust Feature Fusion
Detecting somatic mutations with high accuracy in plasma cell-free DNA with TNER2
Survey of network-based approaches of drug-target interaction prediction
Exploring Latent Space for Generating Peptide Analogs Using Protein Language Models
Application of critical condition scoring scale of traditional Chinese medicine in predicting operative risks for elder patients with orthopedic surgery
Discrimination of Insoluble-Carbohydrate Binding Proteins and Their Binding Sites Using a 3D Motif Detection Method
Autonomous Pharmaceutical Care with Large Language Models
3D Segmentation of Abdominal Aortic Aneurysm Walls from CT Angiograms
Detecting Semantic Similarity of Diseases based Machine Learning
Comparisons on Perception Mechanism of Mental Rotation Between Health and Stroke Groups with EEG Indicators
Inference of genetic regulatory network for stem cell using single cells expression data
Causal discovery based on healthcare information
3D Reconstruction of Medical Images with Transformer
Long-term PM2.5 Exposure, Genome-wide DNA Methylation and Lung Function in Korean Adults
A Multimodal Deep Neural Network for Causally Learning Chest X-ray Images
Multi-level Glioma Segmentation using 3D U-Net Combined Attention Mechanism with Atrous Convolution
Segment Anything Model (SAM) for Medical Image Segmentation: A Preliminary Review
Context-learning based electroencephalogram analysis for epileptic seizure detection
Protein Function Prediction with Primary-Tertiary Hierarchical Learning
Detection of functional state after alcohol consumption by classification and machine learning technics
Microarray therapeutic index: A novel method to combine molecular and clinical data from cancer patients
scSASSL: Self-attention semi-supervised learning with deep generative models to automatically identify cell types
Annotating evidence-based argumentation in biomedical text
Discovering breast cancer prognostic biomarkers using a novel feature selection tool
Agent-based modeling of mesenchymal stem cells on a 3D-printed bio-device for the regenerative treatment of the infarcted myocardium
A Tree-structured Neural Network Model for Joint Extraction of Adverse Drug Events
The syndrome differentiation model and program of traditional Chinese medicine based on the fuzzy recognition
Deep learning of tissue fate features in acute ischemic stroke
Classification with imbalance: A similarity-based method for predicting respiratory failure
Revealing Common and Rare Patterns for Peritoneal Dialysis Eligibility Decisions with Association Discovery and Disentanglement
Interpretable temporal graph neural network for prognostic prediction of Alzheimer's disease using longitudinal neuroimaging data
Predicting Markov Chain Order in Genomic Sequences
Structural analysis of heme proteins: Implication for design and prediction
Resource Prediction Service for Efficient Execution of Bioinformatics Workflows in Federated Cloud with Machine Learning
Network-constrained forest for regularized omics data classification
A symmetry-driven BP algorithm for the Discretizable Molecular Distance Geometry Problem
Glycan immunogenicity prediction based on Graph neural network
Contactless iPPG Extraction Using Infrared Imaging
MolCloze: A Unified Cloze-style Self-supervised Molecular Structure Learning Model for Chemical Property Prediction
Boundary Detection by Determining the Difference of Classification Probabilities of Sequences: Topic Segmentation of Clinical Notes
Semantic analysis based on human thought pattern
DBT-UNETR: Double Branch Transformer with Cross Fusion for 3D Medical Image Segmentation
The BaiBu Knowledge Engine: A Solution for Improving the Semantic Knowledge Base of Traditional Chinese Medicine
Improved algorithms for finding edit distance based motifs
Sequence and structural features of binding site residues in protein-protein complexes
Predictive modeling of nanomaterial biological effects
Multi-layer Feature Refinement Extraction With Contrastive Learning For Cervical OCT Image Classification
OWA-PSSM - A position specific scoring matrix based method integrated with OWA weights for HLA-DR peptide binding prediction
Graph Kernel-Based Learning for Gene Function Prediction from Gene Interaction Network
A Practical Approach to Disease Risk Prediction: Focus on High-Risk Patients via Highest-k Loss
Towards DDIs Identification by Knowledge Graph with BiRW and Back Aggregation
Explainable Multimodal Framework for Brain Imaging with 3D MRI and Age Data
Temporal logics for phylogenetic analysis via model checking
MGOD: Multi-Granular Outlier Detection with Clustlier Analysis
Selecting informative genes by Lasso and Dantzig selector for linear classifiers
Revisiting topological properties of protein-protein interaction networks from the perspective of dataset evolution
Gene expression regulation during differentiation from murine ES cells due to microRNA
Progress and prospect of objectivity study on four diagnostic methods in Traditional Chinese Medicine
Time-series lung cancer CT dataset
Automatic Classification of Antepartum Cardiotocography Using Fuzzy Clustering and Adaptive Neuro -Fuzzy Inference System
Identification of disease-related genetic variants and imaging factors leveraging summary statistics
Predicting the Expression Profile for Plasmodium Falciparum Genes during the Blood Stage Life Cycle
UWHeart: Periodicity-Driven Contact-free Heartbeat Rate Estimation Based on IR-UWB Technology
An Information-Theoretic Framework for Identifying Age-Related Genes Using Human Dermal Fibroblast Transcriptome Data
Flexible protein structure alignment by variable-length Aligned Fragment Pairs
A tree-search method for single-channel fetal QRS complexes detection in fetal heart rate monitoring
An Improved Biomedical Event Trigger Identification Framework via Modeling Document with Hierarchical Attention
A generic bioinformatics pipeline to integrate large-scale trait data with large phylogenies
Sentiment Analysis in Greek Clinical Conversations: A Comparative Study of BERT, VADER, and Lexicon Approaches
On identifying statistical redundancy at the level of amino acid subsequences
RESurv: A Deep Survival Analysis Model to Reveal Population Heterogeneity by Individual Risk
An Emotion Recognition with Online Learning Data Using Deep Learning Approaches
Clinical Entities Association Rules (CLEAR): Untangling Clinical Notes in Electronic Health Records
Feature selection using co-occurrence correlation improves cell clustering and embedding in single cell RNAseq data
Identification of Human RNA m5C sites using CapsuleNet Architecture
Automatic Fracture Image Recognition Based on an Improved Multi-Stream Residual Convolutional Neural Network
EnlightenDepth: a Novel Self-supervised Monocular Depth Estimation with Low-light Enhancement in Endoscopy
Attention model-based and multi-organism driven gene recognition from text: application to a microbial biofilm organism set
Intracranial pressure level prediction in traumatic brain injury by extracting features from multiple sources and using machine learning methods
The Secondary Isolated Data Island: Isolated Data Island Caused by Blockchain in Federated Learning
Research On Chest Abnormality Detection Based On Improved YOLOv7 Algorithm
SNVSniffer: An integrated caller for germline and somatic SNVs based on Bayesian models
Multi-purpose SNP Selection by the principal variables for a genetic study
PAMS-DP: Building a Unified Open PAMS Human Movement Data Platform
ADTAH: Neuron 3D Reconstruction Via Adaptive Distance Transformation and Adaptive Hessian Matrix
Histological Image Feature Mining Reveals Emergent Diagnostic Properties for Renal Cancer
Stress induces biphasic-rewiring and modularization patterns in the metabolomic networks of Escherichia coli
ACPNet: Enhancing Small-Scale Dieases Detection in Panoramic X-rays
GAInS: Gradient Anomaly-aware Biomedical Instance Segmentation
Mitochondria segmentation in electron microscopy volumes using deep convolutional neural network
A Diffusion Model Approach for Solving the Inverse Problem between Cardiac Electricalphysiology and Electrocardiograph
Assessing learned features of Deep Learning applied to EEG
Feature-level fusion of multimodal physiological signals for emotion recognition
Research on the Method and System of Word Segmentation and POS Tagging for Ancient Chinese Medicine Literature
Multiple sequence alignment and reconstructing phylogenetic trees with Hadoop
BioDB: Integration of biological knowledgebases
A dual-channel deep learning approach to continuous prediction of acute kidney injury in the intensive care unit
Extracting BI-RADS features from Portuguese clinical texts
Microaneurysm detection in fundus images using small image patches and machine learning methods
A programmable device to guide rehabilitation patients: design, testing and data collection
Gene function prediction using an AnnoTree-based genomic language model
Accurate Estimation of Genomic Deletions and Normal Cell Contamination by Bayesian Analysis of Mixtures
A parallel programming framework with Markovian messaging for LC-MS peptide detection
Single-Particle 3D Reconstruction beyond the Nyquist Frequency
Study on the characteristic tree spectrum of traditional Chinese medicine and its algorithm for the diversity