yusuke1997/dblp-id-title huggingface dataset:
A system for recognition of biological patterns in toxins using computational intelligence
Significance testing for variable selection in high-dimension
Gaussian derivative wavelets identify dynamic changes in histone modification
Comparative analysis on modularization of metabolic network of methanogens based on simulated annealing algorithm
Optimizing the Salmon Algorithm for the construction of DNA error-correcting codes
A Multiobjective Approach to Classification in Drug Discovery
On predicting transport proteins and their substrates for the reconstruction of metabolic networks
A comparison of Finite State Classifier and Mahalanobis-Taguchi System for multivariate pattern recognition in skin cancer detection
A Hidden Markov Model Approach to Identifying HTH Motifs Using Protein Sequence and Predicted Solvent Accessibility
Graphical approach for motif recognition in DNA sequences
Using multi-objective genetic programming to evolve stochastic logic gate circuits
Application of ensemble learning to the differential gene expression in left-right breast tumors
Transience in the simulation of ring species
A Comparison of Sequence Kernels for Localization Prediction of Transmembrane Proteins
Transmembrane segments prediction with support vector machine based on high performance encoding schemes
A Systematic Statistical Process for Microarray Data Analysis: Countering the Limitations in the Public Data Sets
Inferring Regulatory Interactions between Transcriptional Factors and Genes by Propagating Known Regulatory Links
Designing predictors of halophilic and non-halophilic proteins using support vector machines
Analysis of Thermodynamic Models and Performance in RnaPredict - An Evolutionary Algorithm for RNA Folding
Feature Sensitivity on Biochemical Signaling Pathways
SMISB: A system for Managing Minimum Information from omics' studies in systems biology
Semantic Analysis of Genome Annotations using Weighting Schemes
IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB 2020, Viña del Mar, Chile, October 27-29, 2020
Introduction of R-LCS and comparative analysis with FSC and Mahalanobis-Taguchi method for Breast Cancer classification
De novo assembly of nucleotide sequences in a compressed feature space
Towards a temporal modeling of the genetic network controlling Systemic Acquired Resistance in Arabidopsis thaliana
Super Granular SVM Feature Elimination (Super GSVM-FE) Model for Protein Sequence Motif Informnation Extraction
Non-Invasive Blood Pressure Measurement Using A Mobile Phone Camera
Feature Selection using a Random Forests Classifier for the Integrated Analysis of Multiple Data Types
Comparative Analysis of Feature Selection Methods to Identify Biomarkers in a Stroke-Related Dataset
An exploration into improving DNA motif inference by looking for highly conserved core regions
2016 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB 2016, Chiang Mai, Thailand, October 5-7, 2016
Classification of Scleroderma and Normal Biopsy Data and Identification of Possible Biomarkers of the Disease
Dental fluorosis classification using multi-prototypes from fuzzy C-means clustering
miSAM: Robust MicroRNA Expression Estimation Using Bi-Objective Evolutionary Learning Algorithm in Cancer Transcriptomics
Robust integrated framework for effective feature selection and sample classification and its application to gene expression data analysis
A Novel Graphical Model Approach to Segmenting Cell Images
A Stochastic model to estimate the time taken for Protein-Ligand Docking
Medical and Behavioral Knowledge Discovery using Multi-Objective Analysis
Multi-class Protein Subcellular Localization Classification Using Support Vector Machines
Deep Learning and Ensemble Method for Optic Disc and Cup Segmentation
Control strategies for intelligent adjustment of pressure in intermittent pneumatic compression systems
A Bayesian approach to construct Context-Specific Gene Ontology: Application to protein function prediction
PCA-based linear combinations of oligonucleotide frequencies for metagenomic DNA fragment binning
A Framework for Discrete Modeling of Juxtacrine Signaling Systems
CVis - Towards a novel visualization tool to explore the relationship between input and output partitions in multi-objective clustering ensembles
2018 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB 2018, Saint Louis, MO, USA, May 30 - June 2, 2018
Continual Learning for Weakly-Supervised Histopathology Tissue Segmentation
Synthetic data in AI-powered medical devices - the EU regulatory implications
A Hybrid CI-Based Knowledge Discovery System on Microarray Gene Expression Data
Bottom-Up Biclustering of Expression Data
PUPPI: A pathway analysis method using protein-protein interaction network for case-control data
Missing value imputation methods for gene-sample-time microarray data analysis
A Probabilistic Programming Approach to Protein Structure Superposition
Exploiting modularity and hierarchical modularity to infer large causal gene regulatory network
A variant of SVM-RFE for gene selection in cancer classification with expression data
Local Bubble Dilation Functions: Hypersphere-bounded Landscape Deformations Simplify Global Optimization
Multiple DNA sequence approximate matching
iACP-KAN: Identifying Anticancer Peptides using Kolmogorov-Arnold Network
Systematic bone infection detection in axial diabetic foot MRI
Functional data classification for temporal gene expression data with kernel-induced random forests
Comparing Interpretable AI Approaches for the Clinical Environment: an Application to COVID-19
Depth Annotation of RNA Folds for Secondary Structure Motif Search
Fuzzy rule base classifier fusion for protein mass spectra based ovarian cancer diagnosis
Novel visualization methods for protein data
A multiobjective approach for protein structure prediction using a steady-state genetic algorithm with phenotypic crowding
Evolving a social fabric to fit and epidemic profile
Towards large scale genetic network modeling
Deep learning models for bone suppression in chest radiographs
Explainable AI-Enhanced Kinase Activity Profiling Through Phosphoproteomics
Latent Dirichlet Allocation based on Gibbs Sampling for gene function prediction
Chaos automata for sequence visualization
An information theoretic approach for the discovery of irregular and repetitive patterns in genomic data
Biological Sequence Mining Using Plausible Neural Network and its Application to Exon/intron Boundaries Prediction
In SILICO Simulations Predict a Causative Link Between Increased Glycolysis and Metabolic Reprogramming in Autosomal Dominant Polycystic Kidney Disease
Evaluation of support vector machines and random forest classifiers in a real-time fetal monitoring system based on cardiotocography data
Quantitative analysis of redundancy in evolution of developmental systems
A model of emotion in the prisoner's dilemma
Using Evolved Neural Networks to Elucidate Nef Features Associated with HIV-1 Subtype Differentiation
Principal components analysis filters functionally significant peroxidase motions
Effective Vaccination Strategy for Infectious Diseases by Analyzing the Age and Comorbidity Attributes of Individuals on Social Network
A Comparative Study on Machine Learning Algorithms and A Hybrid Model of Genetic Algorithm and Neural Network for Mesothelioma Diagnosis
DDIPred: Graph Convolutional Network-Based Drug-drug Interactions Prediction Using Drug Chemical Structure Embedding
Bridging the multiscale gap: Identifying cellular parameters from multicellular data
Inferring bistable lac operen Boolean regulatory networks using evolutionary computation
Modelling The Fitness Landscapes of a SCRaMbLEd Yeast Genome
Proceedings of the 2011 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB 2011, Paris, France, April 11-15, 2011
GameAAL - an AAL solution based on Gamification and Machine Learning Techniques
Predicting protein crystallization using a simple scoring card method
Towards predictive structure-based models of evolved drug resistance
EBGW_OMP: A sequence-based method for accurate prediction of outer membrane proteins
Paroxysmal Atrial Fibrillation diagnosis based on feature extraction and classification
A tissue-aware simulation framework for [18F]FLT spatiotemporal uptake in pancreatic ductal adenocarcinoma
Proceedings of the 2005 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB 2005, Embassy Suites Hotel La Jolla, La Jolla, CA, USA, November 14 & 15, 2005
Self-adaptive evolutionary algorithm based methods for quantification in metabolic systems
Association rule mining of gene ontology annotation terms for SGD
A comparison of incremental community assembly with evolutionary community selection
Integrating steady-state and dynamic gene expression data for improving genetic network modelling
SARNA-Predict: A Simulated Annealing Algorithm for RNA Secondary Structure Prediction
Locally sensitive backtranslation based on multiple sequence alignment
Grouping and visualizing human endogenous retroviruses by bootstrapping median self-organizing maps
Aggregating Homologous Protein Families in Evolutionary Reconstructions of Herpesviruses
Detecting Similarities between Families of Bio-sequences using the Steady-State of a PCA-Neural Network
Biological pathway completion using network motifs and random walks on graphs
Hybrid feature extractor for harlequin ladybird identification using color images
Novel Algorithm for MALDI-TOF Baseline Drift Removal
Feature Selection for Classification with Proteomic Data of Mixed Quality
Evolutionary approach to NOE paths assignment in RNA structure elucidation
Extracting and mining protein-protein interaction network from biomedical literature
LVQ Approach Using AA Indices for Protein Subcellular Localisation Prediction
More multiple worlds evolution for motif discovery
Classification via correlation-based feature grouping
Drug-target affinity prediction using applicability domain based on data density
Comparison tools for lncRNA identification: analysis among plants and humans
Gene Ontology Driven Feature Selection from Microarray Gene Expression Data
Optimum Window Size and Overlap for Robust Probabilistic Prediction of Seizures with iEEG
Combined covariance model for non-coding RNA gene finding
Fourier Surrogate Models of Dilated Fitness Landscapes in Systems Biology : or how we learned to torture optimization problems until they confess
Gene ranking through the integration of synchronization experiments
Length-Based Substructure Mutation Policies for Improved RNA Design in Simulated Annealing
Developing a novel integrated model of p38 MAPK and glucocorticoid signalling pathways
DNA error correcting codes: No crossover
Conversion of Pixel to Millimeter in Ultrasound Images: A Methodological Approach and Dataset
Exploring chaos automata for protein sequences
Inferring the relationships among genes from weighted GO graph
Protein secondary structure prediction using an evolutionary computation method and clustering
IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB 2019, Siena, Italy, July 9-11, 2019
Modeling metal protein complexes from experimental extended X-ray absorption fine structure using evolutionary algorithms
An Evolutionary Algorithm for the Selection of Geographically Informative Species
Preface to the proceedings
Functional characterization of miRNAs in prostate cancer using functional protein networks
IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB 2014, Honolulu, HI, USA, May 21-24, 2014
GENESIS: Generating scRNA-Seq data from Multiome Gene Expression
A Computational Model to Analyse E/I (Excitation/Inhibition) Dynamics for Neural Network Integrated with Astrocyte
Performance prediction for RNA design using parametric and non-parametric regression models
Gene Mutation Analysis for Functional Annotations Using Graph Heuristics
Multicategory Classification using Extended SVM-RFE and Markov Blanket on SELDITOF Mass Spectrometry Data
Towards EEG-based objective ADHD diagnosis support using convolutional neural networks
Genome-scale prediction of bacterial promoters
Network Motifs, Feedback Loops and the Dynamics of Genetic Regulatory Networks
Tackling the challenging motif problem through hybrid particle swarm optimized alignment clustering
Evaluation of Transfer Learning Models on Traumatic Brain Injury Severity Classification
Neural Spike Communication under Noisy Environments
Protein secondary structure prediction through a novel framework of secondary structure transition sites and new encoding schemes
Hybrid feature selection method for biomedical datasets
Genetic operators based on backbone constraint angles for protein structure prediction
Computational analysis of Plasmodium falciparum RNA-Seq data reveals PPIs that might be implicated in the invasion of the RBCs
A Machine Leaning Approach to Resolving Incongruence in Molecular Phylogenies and Visualization Analysis
Terminator Detection by Support Vector Machine Utilizing a Stochastic Context-Free Grammar
Side-chain flexibility in protein docking
A Novel Variation Operator for More Rapid Evolution of DNA Error Correcting Codes
Comparison of Representations to Evolve Weighted Contact Networks with Epidemic Properties
Iterative learning cascaded multiclass kernel based support vector machine for neural spike data classification
Vertebral compression Fracture Risk in Spinal Metastases Patients Following Stereotactic Body Radiotherapy Using Quantitative Imaging Data and Machine Learning
Color-Texture Segmentation of Medical Images Based on Local Contrast Information
Comparing multiple testing correction methods between two softwares for single nucleotide polymorphisms association analyses: Using OPRD1 and diastolic blood pressure in methadone maintenance patients as an example
Novel Data Mining Techniques in aCGH based Breast Cancer Subtypes Profiling: the Biological Perspective
The Homology Kernel: A Biologically Motivated Sequence Embedding into Euclidean Space
Multimodal medical image registration using particle swarm optimization with influence of the data's initial orientation
Feature selection in proteomic pattern data with support vector machines
Identification of chloroplast and sub-chloroplast proteins from sequence-attributed features using support vector machine and domain information
Modeling treatment and drug effects at the molecular level using hybrid system theory
High-performance and distributed computing in a probabilistic finite element comparison study of the human lower leg model with total knee replacement
Territorial clusters of mortality and role of social and environmental factors: the case of ULSS 6 Euganea (Italy)
Operon Prediction in Microbial Genomes Using Decision Tree Approach
A Closer Look on Protein Unfolding Simulations through Hierarchical Clustering
Heuristic principal component analysis-based unsupervised feature extraction and its application to gene expression analysis of amyotrophic lateral sclerosis data sets
Analysis of gene mutation that cause lung cancer by using data miningand study of common remedy
Towards Optimal Microbiome to Inhibit Multidrug Resistance
Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB 2007, Honolulu, Hawaii, USA, April 1-5, 2007, Part of the IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2007)
Unsupervised Temporal Analysis of Mouse Vocalizations
Inferring neutral evolution from Parkinson's disease genes
Simulation of oscillatory dynamics of blood testosterone levels using the crossover method
Distributed Peer-to-Peer Cooperative Partitional-Divisive Clustering for gene expression datasets
A Fuzzy Data Mining Technique for the Reconstruction of Gene Regulatory Networks from Time Series Expression Data
RFL-Score: Random Forest with Lasso Scoring Function for Protein-Ligand Molecular Docking
Modeling protein structural transitions as a multiobjective optimization problem
Computational prediction of bacterial type IV-B effectors using C-terminal signals and machine learning algorithms
Automatic Diverse Subset Selection From Enzyme Families by Solving the Maximum Diversity Problem
Consensus Clustering Strategy for Cell Type Assignments of scRNA-seq Data
Using structural domains to predict obligate and non-obligate protein-protein interactions
Adversarial Deep Evolutionary Learning for Drug Design
ROAR: A Reference Ontology for Anatomical Relations
Utilizing Artificial Neural Networks to Elucidate Serum Biomarker Patterns Which Discriminate Between Clinical Stages in Melanoma
A comparison of evolved finite state classifiers and interpolated Markov models for improving PCR primer design
Side effect machines for quaternary edit metric decoding
Genetic network reverse-engineering and network size; can we identify large GRNs?
A New Semi-Supervised Subspace Clustering Algorithm on Fitting Mixture Models
Granular decision fusion systems for effective protein methylation pPrediction
Comparison of discrimination methods for peptide classification in tandem mass spectrometry
Drug target interaction predictions using PU- Leaming under different experimental setting for four formulations namely known drug target pair prediction, drug prediction, target prediction and unknown drug target pair prediction
Channel Selection in EEG-based Prediction of Shoulder/Elbow Movement Intentions involving Stroke Patients: A Computational Approach
HPC enabled a Novel Deep Fuzzy Scalable Clustering Algorithm and its Application for Protein Data
Evolution in silico of genes with multiple regulatory modules on the example of the Drosophila segmentation gene hunchback
SPOT-1D2: Improving Protein Secondary Structure Prediction using High Sequence Identity Training Set and an Ensemble of Recurrent and Residual-convolutional Neural Networks
A Deep Learning Pipeline for the Automatic cell type Assignment of scRNA-seq Data
Classifying protein interaction type with associative patterns
Predicting and Characterizing Legal Claims of Hospitals with Computational Intelligence: the Legal and Ethical Implications
RNA secondary structure graphical rendering library
Prospecting epilepsy surgery outcome using virtual resection paradigm. Computational-model validation
Gene selection using interaction information for microarray-based cancer classification
Granular support vector machines for medical binary classification problems
Exhaustive RT-RICO algorithm for mining association rules in protein secondary structure
Feature Selection Approach for Quantitative Prediction of Transcriptional Activities
Improving Protein Secondary-Structure Prediction by Predicting Ends of Secondary-Structure Segments
Neural Architecture Search for Genomic Sequence Data
A New Distance Measure of RNA Ensembles and Its Application to Phylogenetic Tree Construction
Feature Selection Based on Physicochemical Properties of Redefined N-term Region and C-term Regions for Predicting Disorder
Capturing hydrophobic moment using spectral coherence for protein secondary structure prediction
An ACGT-Words Tree for Efficient Data Access in Genomic Databases
Boosting Evolutionary Support Vector Machine for Designing Tumor Classifiers from Microarray Data
Marginalised stack denoising autoencoders for metagenomic data binning
Clustering incorporating shortest paths identifies relevant modules in functional interaction networks
Protein fold identification using machine learning methods on contact maps
A novel approach for finding informative genes in ten subtypes of breast cancer
Modeling oncology gene pathways network with multiple genotypes and phenotypes via a copula method
A new hybrid probability-based method for identifying proteins and protein modifications
SpatialVisVR: An Immersive, Multiplexed Medical Image Viewer with Contextual Similar-Patient Search
Methods for Analyzing Swallowing Sound in Dysphagia Care: A Telemedicine Approach
Genetic Regulatory Network Modeling Using Network Component Analysis and Fuzzy Clustering
Predicting the Functions of Proteins from their Co-occurrences with Implicit and Explicit Functional Terms in Texts
Efficacy and accuracy responses of DNA mini-barcodes in species identification under a supervised machine learning approach
An Efficient Boolean Modelling Approach for Genetic Network Inference
An eLORETA EEG analysis to spatially resolve real and imagined neuromotor control
Reference-free compression of next-generation sequencing data in FASTQ format
Utilization of gene ontology in semi-supervised clustering
Dynamic ensemble selection with local expertise consistency
A gait imbalance evaluation system using multi-sensors
A Swarm Intelligence Based Algorithm for Proteomic Pattern Detection of Ovarian Cancer
Large-scale computation of pediatric growth percentiles with fuzzy logic justification of parameter selection
A novel LDA and PCA-based hierarchical scheme for metagenomic fragment binning
Evolving Extremal Epidemic Networks
A hybrid clustering/evolutionary algorithm for RNA folding
Reassessing the limit of data integration for the prediction of protein-protein interactions in Saccharomyces cerevisiae
Predicting chemical activities from structures by attributed molecular graph classification
A multivariate feature selection framework for high dimensional biomedical data classification
Secret sequence comparison in distributed computing environments by interval sampling
Using Bayesian modeling on molecular fragments features for virtual screening
Evolving Lockdown Strategies to Minimize Infections in an Epidemic
Taenia biomolecular phylogeny and the impact of mitochondrial genes on this latter
A Flexible Fully-Multiplicative Orthogonal-Group Based ICA Algorithm
Design of Deep Convolutional Neural Network Architectures for Denoising Electrocardiographic Signals
Modelling intracranial pressure with noninvasive physiological measures
Associative Artificial Neural Network for Discovery of Highly Correlated Gene Groups Based on Gene Ontology and Gene Expression
Extracting Features from Protein Sequences Using Chinese Segmentation Techniques for Subcellular Localization
A Comparative Study on Feature Extraction from Protein Sequences for Subcellular Localization Prediction
Isolating - a new resampling method for gene order data
OSANet: Detection of Obstructive Sleep Apnea Episodes Using a DarkNet-Based Deep Learning Approach and Time-Frequency Spectrogram Features Derived from Single-Lead ECG
Prediction of anti-EGFR drug resistance base on binding free energy and hydrogen bond analysis
Constructing a Semantic Graph with Depression Symptoms Extraction from Twitter
Improving Machine Learning Based Sepsis Diagnosis Using Heart Rate Variability
On side effect machines as a representation for evolutionary algorithms
Proceedings of the 2009 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB 2009, Nashville, TN, USA, March 30 - April 2, 2009
GOcSim: GO context-driven similarity
Goal Driven Analysis of cDNA Microarray Data
Improving the Efficiency and the Validity of Molecular Transformers
An Efficient Approach to Detect a Protein Community from a Seed
Analysis of Gene Variants for Functional Annotations
Reverse engineering of the transcriptional subnetwork in the yeast cell cycle pathway using Dynamic Bayesian Networks and evolutionary search
Discovering Missing Edges in Drug-Protein Networks: Repurposing Drugs for SARS-CoV-2
Multi-objective evolution of artificial neural networks in multi-class medical diagnosis problems with class imbalance
Learning relationships between over-represented motifs in a set of DNA sequences
Optimizing bioengineered vascular systems: A genetic algorithm approach
Preterm infants' limb-pose estimation from depth images using convolutional neural networks
Inductive models for structured output prediction of lncRNA-disease associations
Evolving graph compression using similarity measures for bioinformatics applications
Composite Facility Location Problems: A Case Study of Personalised Medicine
Cooperative Rec-I-DCM3: A Population-Based Approach for Reconstructing Phylogenies