yusuke1997/dblp-id-title huggingface dataset:
An approach for RNA secondary structure prediction based on Bayesian network
A New Hybrid Approach for Unsupervised Gene Selection
Simulation of the impact of retroviruses on genome organization of an artificial organism
Analyzing gene expression data for childhood medulloblastoma survival with artificial neural networks
idock: A multithreaded virtual screening tool for flexible ligand docking
Automatic Detection of Necrotizing Fasciitis: A Dataset and Early Results
Towards Explainability of Dimension Reduction Plots of Unsupervised Learning Model Outcomes
A Fast Feature Selection for Interpretable Modeling Based on Fuzzy Inference Systems
Arithmetic computation in the tile assembly model: Inversion over finite field GF(2n)
A hierarchical model to predict the probability of germination of bacterial spores
Vaccinating a Population is a Changing Programming Problem
Optimization of the Sliding Window Size for Protein Structure Prediction
A Markov random field-based Bayesian model to identify genes with differential methylation
Prediction of Co-Regulated Gene Groups through Gene Ontology
Lung nodule diagnosis from CT images based on ensemble learning
Protein secondary structure prediction based on physicochemical features and PSSM by SVM
Evolving DNA classifiers with extinction based ring optimization
Predicting Tumor Malignancies using Combined Computational Intelligence, Bioinformatics and Laboratory Molecular Biology Approaches
Human Activity Recognition Using Convolutional Neural Networks
Understanding the Evolutionary Process of Grammatical Evolution Neural Networks for Feature Selection in Genetic Epidemiology
Parameter Estimation Of A Physiological Diabetes Model Using Neural Networks
Sequence learning: analysis and solutions for sparse data in high dimensional spaces
Evaluating the Segmentation Performance of Gross Volume Tumor in Cervical Cancer Using MRI Images
GMM Based Detection of Schizophrenia Using Eye Tracking
Using associators to generate ensemble biclustering from multiple evolved biclusterings
Numerical representation of DNA sequences based on genetic code context and its applications in periodicity analysis of genomes
The Development of CanPrompt Strategy in Large Language Models for Cancer Care
Binning metagenomic reads with probabilistic sequence signatures based on spaced seeds
Clustering and Cross-talk in a Yeast Functional Interaction Network
Alzheimer's Disease Risk Prediction in the Elderly: A Machine Learning Approach Combining Clinical Characteristics and Polygenic Risk Scores
SMOTE for gene regulatory network sampling
Early lung cancer detection using nucleus segementation based features
Multi-objective Optimization Approach to find Biclusters in Gene Expression Data
Deep Learning-Based Object Detection System for Vocal Cords in Laryngoscopy Images
Combining Neural Network and Wavelet Transformn for Trigger Asynchrony Detection
Mining distinctive DNA patterns from the upstream of human coding&non-coding genes via class frequency distribution
Visual Game-Based Upper Limb Ergometer Therapy Associated with EEG Responses in Stroke Rehabilitation
Handling Data Sparseness in Gene Network Reconstruction
Fitting contact networks to epidemic behavior with an evolutionary algorithm
A novel representation for boolean networks designed to enhance heritability and scalability
Clustering density based gene expression data in the mouse brainstem and comparison to actual neuroanatomy
Ensemble Learning for Medical Image Character Recognition based on Enhanced Lenet-5
Predicting coding region candidates in the DNA sequence based on visualization without training
A Kernel Method for MicroRNA Target Prediction Using Sensible Data and Position-Based Features
An Oscillator Model for Interbrain Synchrony: Slow Interactional Rhythms Entrain Fast Neural Activity
Metabolic Flux Estimation from Incomplete Labelling Measurements Using the Expectation/Conditional-Maximisation Algorithm
Integrating deep and radiomics features in cancer bioimaging
A Model-Free Greedy Gene Selection for Microarray Sample Class Prediction
Evaluating the Feasibility of Vision-Language Models in Skin Cancer Detection: A Comparative Study with CNNs and Vision Transformers
A 4 C: an adaptive artificial ants clustering algorithm
A comparison of sequence alignment algorithms for measuring secondary structure similarity
An integrative bioinformatics approach for identifying subtypes and subtype-specific drivers in cancer
TSC_ATP: A two-stage classifier for predicting protein-ATP binding sites from protein sequence
How to discriminate between potentially novel and considered biomarkers within molecular signature?
Predicting Cancer Driver Genes: Leveraging Graph Convolutional Networks and Ensemble Learning
Predictive pattern analysis using SOM in medical data sets for medical treatment service
Hybridization and ring optimization for larger sets of embeddable biomarkers
Predicting Influenza A Viral Host Using PSSM and Word Embeddings
Gene expression correlation and gene ontology-based similarity: an assessment of quantitative relationships
geneDRAGNN: Gene Disease Prioritization using Graph Neural Networks
Multi-objective Optimization for Marker Panel Identification in Single-cell Data
Inferring functional coupling of proteins using the Evolutionary Bond Energy Algorithm
Exploring genetic variability in drug therapy by selecting a minimum subset of the most informative single nucleotide polymorphisms through approximation of a markov blanket in a kernel-induced space
SARNA-Predict: A Study of RNA Secondary Structure Prediction Using Different Annealing Schedules
Multi-Criterion Phylogenetic Inference using Evolutionary Algorithms
Rank Correlation and Cluster Testing in Multi-Objective Data Analysis of Medical Data
Biomedical (cardiac) data mining: Extraction of significant patterns for predicting heart condition
PEvoLM: Protein Sequence Evolutionary Information Language Model
Ensemble Regression Modelling for Genetic Network Inference
Application of modulation spectrum for iEEG seizure analysis
A simulation of bacterial communities
Haplotype inference using a genetic algorithm
Position control of head and neck swellings resection operation using Artificial Neural Networks
Semi-automated patient-specific scalp EEG seizure detection with unsupervised machine learning
An Improved Method for Finding Attractors of Large-Scale Asynchronous Boolean Networks
Using Clinical Drug Representations for Improving Mortality and Length of Stay Predictions
G Protein-Coupled Receptor Classification at the Subfamily Level with Probabilistic Suffix Tree
FragGeneScan-plus for scalable high-throughput short-read open reading frame prediction
Collaboration visualization on large dataset for protein-protein interaction network
Pathway Analyst--Automated Metabolic Pathway Prediction
Trustworthy Artificial Intelligence in Medical Applications: A Mini Survey
Improving the transparency in fuzzy modelling of radiotherapy margins in cancer treatment
Deep Learning for Brain Tumor Segmentation using Magnetic Resonance Images
Comparing features from ECG pattern and HRV analysis for emotion recognition system
A comparison of multi-objective optimization algorithms to identify drug target combinations
2013 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB), Singapore, April 16-19, 2013
Assessment of Purposeful Movements for Post-Stroke Patients in Activites of Daily Living with Wearable Sensor Device
Predictive modeling of lung cancer recurrence using alternative splicing events versus differential expression data
Predicting Structural Disruption of Proteins Caused by Crossover (based on Amino Acid Sequence)
Optimized Kernel Machine for Cancer Classification Using Gene Expression Data
A multi-stage approach to detect gene-gene interactions associated with multiple correlated phenotypes
Using decision trees to study the convergence of phylogenetic analyses
Reboot strategies in particle swarm optimization and their impact on parameter estimation of biochemical systems
Visualizing Contact Networks Evolved To Fit Epidemic Profiles
Analysis of Interacting Factors Contributing to the Onset of Diabetes Type 2 in the Female Pima Population: A Step towards Understanding the Links
Detecting sequence and structure homology via an integrative kernel: A case-study in recognizing enzymes
Integrative Multi-Omics Prognostic Modeling of Glioma Recurrence Using Variational Autoencoder and Similarity Network Fusion
An algebraic generalization for graph and tensor-based neural networks
Diagnostic character location within the cryptic skipper butterfly species complex with an evolutionary algorithm
SetQuence & SetOmic: Deep Set Transformer-based Representations of Cancer Multi-Omics
Protein fold recognition with adaptive local hyperplane algorithm
Self-Attention Enhanced Deep Learning Models for Immune Cell Deconvolution from Bulk RNA-Seq
DeepGREP: A deep convolutional neural network for predicting gene-regulating effects of small molecules
An incremental method for mosaicing of optical microscope imagery
An ontology design methodology for Knowledge-Based systems with application to bioinformatics
A Genetic Algorithm Approach for Discovering Diagnostic Patterns in Molecular Measurement Data
$\mathcal{LAJA}{-}$ Label Attention Transformer Architectures for ICD-10 Coding of Unstructured Clinical Notes
Classification of event-related potentials in individuals at risk for alcoholism using wavelet transform and artificial neural network
Neuro-fuzzy classification of the Rhagoletis pomonella species group using digitized wing structures
Quantifying Instance Hardness of Protein Folding within the HP-model
Tuning receiver characteristics in bacterial quorum communication: An evolutionary approach using standard virtual biological parts
Prediction of crystal packing and biological protein-protein interactions
An automated approach to translate a biological process from ODEs into graphical hybrid functional Petri Nets
Messages from the technical program chairs
A Neural Network for Predicting Protein Disorder using Amino Acid Hydropathy Values
Bayesian ARTMAP prediction of biological activities for potential HIV-1 protease inhibitors using a small molecular dataset
From Bits to Bases: Evolving a Versatile Construct for Biological Sequence and Network Data
Integrated analysis of gene expression and genome-wide DNA methylation for tumor prediction: An association rule mining-based approach
MotifGP: Using multi-objective evolutionary computing for mining network expressions in DNA sequences
Bcl∷ChemInfo - Qualitative analysis of machine learning models for activation of HSD involved in Alzheimer's Disease
A modified roach infestation optimization
Multiclass Yeast Segmentation in Microstructured Environments with Deep Learning
NMR Analysis of RNA Bulged structures: Tabu Search Application in NOE Signal Assignment
In vivo Intracellular Metabolite Dynamics Estimation by Sequential Monte Carlo Filter
Integrated analysis of microRNA regulation of genes in HSIL
A New Approach to Identify Functional Modules Using Random Matrix Theory
Improved prediction of trans-membrane spans in proteins using an artificial neural network
BacCal GUI: Streamlining Virus Titration Calculations
Reverse Engineering Non-Linear Gene Regulatory Networks Based on the Bacteriophage lambda cI Circuit
Synchronization in Complex Dynamical Networks
Wrist pulse signals analysis based on Deep Convolutional Neural Networks
Using Neural Networks to Identify Features Associated with HIV Nef Protein and Cancer
IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB 2025, Tainan, Taiwan, August 20-22, 2025
Automatic lung segmentation in chest radiographs using shadow filter and local thresholding
Towards a Classification Scheme for Inferring the Atomic Composition of Drug-like Molecules from their Quantum Derived Electronic Properties
Nerve graft selection for peripheral nerve regeneration using neural networks trained by a hybrid ACO/PSO method
Random Forest to Predict Eucalyptus as a Potential Herb in Preventing Covid19
Predicting translation initiation sites using a multi-agent architecture empowered with reinforcement learning
Forest-based Evolutionary Algorithm for Reconstructing Boolean Gene Regulatory Networks
Linkage Disequilibrium in Genetic Association Studies Improves the Performance of Grammatical Evolution Neural Networks
Determination of the Relative Importance of Gene Function or Taxonomic Grouping to Codon Usage Bias Using Cluster Analysis and SVMs
Identification of botanical specimens using artificial neural networks
Mixing patterns in a global influenza a virus network using whole genome comparisons
A method to integrate, assess and characterize the protein-protein interactions
FRI-Feature Relevance Intervals for Interpretable and Interactive Data Exploration
Identification of the Prognostic Signatures for Isocitrate Dehydrogenase Mutant Glioma
Knowledge-Enriched Cell-Type Annotation in Single-Cell Transcriptomics via LLM Embeddings
Automated plant identification using artificial neural networks
Integrating epigenetic prior in dynamic Bayesian network for gene regulatory network inference
Driving Evolution Towards Discovery of Patterns in Sets of Weakly-Conserved DNA Sequences
Critical junction: Nonlinear dynamics, swarm intelligence and cancer research
Structural Prediction of RNA Loops by Simulated Annealing
An Explainable Deep Learning Model for Prediction of Severity of Alzheimer's Disease
Evaluating Robustness of Algorithm for Microsatellite Marker Genotyping
A Discrete Fourier Transform method for alignment of visual evoked potentials
Large Block Matching Characters for Dehydrin Classification
Searching a multicellular model to tame tumor-induced angiogenesis
rnaDesign: Local search for RNA secondary structure design
REnformer, a single-cell ATAC-seq predicting model to investigate open chromatin sites
IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB 2023, Eindhoven, The Netherlands, August 29-31, 2023
Integrating Affymetrix microarray data sets using probe-level test statistic for predicting prostate cancer
ProCell: Investigating cell proliferation with Swarm Intelligence
Statistical comparison of color model-classifier pairs in hematoxylin and eosin stained histological images
CCA based multi-view feature selection for multi-omics data integration
Estimation of Fuzzy Models from Mixed Data Sets with pyFUME
GEMSCORE: A New Empirical Energy Function for Protein Folding
Development of a non-invasive screening device of diabetic peripheral neuropathy based on the perception of micro-vibration
Maximum likelihood phylogenetic reconstruction using gene order encodings
A closed-loop optimization framework for personalized cancer therapy design
ERP signal identification of Individuals at Risk for Alcoholism using Learning Vector Quantization Network
A Simple Algorithm for (l, d) Motif Search1
Nearest neighbor training of side effect machines for sequence classification
Leveraging Large Language Models for Information Extraction: Identifying microRNA - Gene Interactions in Biomedical Literature
Intellectual property protection for bioinformatics and computational intelligence
Noise in transcriptional, splicing and translational regulation
Phenotype Prediction of DNA Sequence Data: A Machine- and Statistical Learning Approach
Symbiotic Message Passing Model for Transfer Learning between Anti-Fungal and Anti-Bacterial Domains
Emotion recognition with consideration of facial expression and physiological signals
Novel domain identification approach for protein-protein interaction prediction
A deep learning pipeline to classify different stages of Alzheimer's disease from fMRI data
A Transcriptional Approach to Gene Clustering
Learning binary threshold networks for gene regulatory network modeling
LargeDEL: A tool for identifying large deletions in the whole genome sequencing data
AGED-ViT: A Novel Transformer-Based Framework for Diagnosis of Alzheimer's Disease by Leveraging Gene Expression Data
Visualizing High-Dimensional Single-Cell RNA-seq Data via Random Projections and Geodesic Distances
Using Voronoi Grid and SVM Linear Regression in Drug Discovery
A high-speed real-time nanopore signal detector
Single-objective and multi-objective genetic algorithms for compression of biological networks
Bootstrap Inference with Neural-Network Modeling for Gene-Disease Association Testing
Active Learning for Network Estimation
Gene Relation Discovery by Mining Similar Subsequences in Time-Series Microarray Data
Segment and Combine Approach for Biological Sequence Classification
A biomarker ensemble ranking framework for prioritizing depression candidate genes
Analysis of MALDI-TOF Serum Profiles for Biomarker Selection and Sample Classification
Genetic Algorithm for Optimizing Global Alignment of Protein-Protein Interaction Network
Reconstruction of a GRN model of salt stress response in arabidopsis using genetic algorithms
Big Biological Data: Need for a Reorientation of the Governance Framework
Improving feature representation of natural language gene functional annotations using automatic term expansion
SHAP-Driven Deep Learning Identifies Pre-Symptomatic Influenza A Biomarkers: An Explainable AI Framework for Clinical Genomics
Two-Phase EA/k-NN for Feature Selection and Classification in Cancer Microarray Datasets
Evolutionary Parameter Setting of Multi-clustering
Supervised learning of maternal cigarette-smoking signatures from placental gene expression data: A case study
Machine Learning-Enhanced Molecular Dynamics Analysis of Residue Variant Effects on Human ACE2 and Furin Protein Interactions with SARS-CoV-2 Spike
Analysis of symbolic models of biometrie data and their use for action and user identification
Managing memory and reducing I/O cost for correlation matrix calculation in bioinformatics
Machine Learning and Gut Microbiome for Breast Cancer Screening
Cancer classification using the Extended Biomimetic Pattern Recognition
Developing Antibiotic Regimens Using Evolutionary Algorithms
Utilizing Domain Knowledge in Developing Robust Neural Network Models for Peptide-Allele Binding Prediction
SARNA-ensemble-predict: The effect of different dissimilarity metrics on a novel ensemble-based RNA secondary structure prediction algorithm
Using Benford's law to detect anomalies in electroencephalogram: An application to detecting alzheimer's disease
Quasi-cyclic codes exhibiting the gene regulatory network of the cell cycle
Heuristic Algorithm for Computing Reversal Distance with MultiGene Families via Binary Integer Programming
Short-term impacts of weather conditions on biomarkers among urban adults in Greece
Protein-Protein Interface Residue Prediction with SVM Using Evolutionary Profiles and Accessible Surface Areas
Topological, functional, and structural analyses of protein-protein interaction networks of breast cancer lung and brain metastases
Degenerate primer selection algorithms
New approaches to clustering microarray time-series data using multiple expression profile alignment
ViPeC: Vision transformer-based approach for Peptide-protein interface Classification
Selection of Genetically Diverse Recombinant Inbreds with an Ordered Gene Evolutionary Algorithm
Closed-Loop Brain-Controlled Exoskeleton System with a Hybrid Model for Stroke Rehabilitation
Simulink heart model for simulation of the effect of external signals
Evolutionary-Progressive Method for Multiple Sequence Alignment
Shape control of side effect machines for DNA classification
Detecting protein complexes using gene expression biclusters
Ring Optimization of Epidemic Contact Networks
Computing organoids' volume in medical images: the case study of cystic fibrosis
Identification of Synthetic Engineering in Prokaryotic Genomes Using Evolved Neural Networks
Unsupervised feature selection for tumor profiles using autoencoders and kernel methods
Using Genetic Programming to Investigate a Novel Model of Resting Energy Expenditure for Bariatric Surgery Patients
Fuzzy Profile Hidden Markov Models for Protein Sequence Analysis
An Internet-based Melanoma Diagnostic System - Toward the Practical Application
Fast algorithms for detecting overlapping functional modules in protein-protein interaction networks
BLKnn: A K-nearest neighbors method for predicting bioluminescent proteins
Evaluation of Frameworks for Epidemic Variants and Infectivity using an Evolutionary Algorithm
An Endoscopic Lesion Segmentation Improvement
Prediction of the Number of Helices for the Twilight Zone Proteins
Prioritizing Variants using Rough-set based Relevance Algorithm for GWAS
Simultaneous execution method of gene clustering and network inference
Steady-state analysis of genetic regulatory networks modeled by nonlinear ordinary differential equations
Matching models of HIV-1 viral dynamics to clinical data
Handling Sparse Longitudinal Data with Irregular Missing Data - Analysis of Fecal Coliform Bacteria Data
EURYALE: A versatile Nextflow pipeline for taxonomic classification and functional annotation of metagenomics data
Pathway Optimization of Mycobacterium Tuberculosis Drug Response Networks
Multi-distance based spectral embedding fusion for clustering single-cell methylation data
Engineering bacterial populations for pattern formation
A Systematic Computational Approach for Transcription Factor Target Gene Prediction
Dimensionality reduction approach for genotypic data
Gene-Gene Interaction Tests Using SVM and Neural Network Modeling
Analysis of grapevine gene expression data using node-based resilience clustering
Parallel implementation of efficient search schemes for the inference of cancer progression models
Cluster analysis of the p53 genetic regulatory network: topology and biology
Designing artificial organisms for use in biological simulations
Spiking Neural Networks for Mental Workload Classification with a Multimodal Approach
Multicentre study design in survival analysis
Structural and parametric uncertainties in full Bayesian and graphical lasso based approaches: Beyond edge weights in psychological networks
Clustering Microarrays with Predictive Weighted Ensembles
Visualization of Support Vector Machines with Unsupervised Learning
A Comparison of Novel Representations for Evolving Epidemic Networks
Comparison of RSH with shape signatures and MACT technique for shape analysis of HIV-1 protein
Development of one hand drive wheelchair system: Design and Experiment of the active front wheel system
Machine learning approaches for customized docking scores: Modeling of inhibition of Mycobacterium tuberculosis enoyl acyl carrier protein reductase
A Closed-Loop Deep Brain Stimulation Biomedical Model of Parkinson's Disease
GAknot: RNA secondary structures prediction with pseudoknots using genetic algorithm
Fuzzy rule-based expert system for diagnosis of thyroid disease
Multiple worlds model for motif discovery
TPP Riboswitch Design Using Secondary-Structure-Informed Geometric GNN
An exploration of individual RNA structural elements in RNA gene finding
Multiple Sequence Alignment Containing a Sequence of Regular Expressions
Protein secondary structure prediction using BLAST and exhaustive RT-RICO, the search for optimal segment length and threshold
A Novel Bioinformatics Technique for Predicting Condition-specific Transcription Factor Binding Sites
Predicting cassette exons using transductive learning approaches
Pandemic: A Graph Evolution Story
Temporal and structural analysis of biological networks in combination with microarray data
Attention estimation system via smart glasses
Inference of Gene Regulatory Networks using S-System: A Unified Approach
Tandem mass intensity estimation for de novo peptide sequencing
Keypoint-Guided Ophidian Transformation for String-Shaped Data Augmentation
An assignment walk through 3D NMR spectrum
Parallel multi-objective algorithms for the molecular docking problem
Investigating Semi-Automatic Assessment of Data Sets Fairness by Means of Fuzzy Logic
Disease outbreak prediction by data integration and multi-task learning
NSC-GA: Search for optimal shrinkage thresholds for nearest shrunken centroid
Sensitivity Analysis of Stroke Predictors Using Structural Equation Modeling and Bayesian Networks