yusuke1997/dblp-id-title huggingface dataset:
An effective approach to identify gene-gene interactions for complex quantitative traits using generalized fuzzy accuracy
A particle swarm optimization solution for challenging planted(l, d)-Motif problem
A novel hybrid differential evolution strategy applied to classifier design for mortality prediction in adult critical care admissions
Selected String Representation for Whole Genomes
A Fast Algorithm for Detecting Frame Shifts in DNA sequences
Modeling Transcriptional Regulation in Chondrogenesis Using Particle Swarm Optimization
Granular computing approach for the design of medical data classification systems
Bayesian Segmentation using Residue Proximity for Secondary Structure and Contact Prediction
Cross-validation and cross-study validation of kidney cancer with machine learning and whole exome sequences from the National Cancer Institute
GPU-powered Bat Algorithm for the parameter estimation of biochemical kinetic values
The Brain Watching Itself: Identifying Brain Tumors with Spiking Neural Networks
A meta decision tree approach for B-cell epitope mining
Risk factors rule mining in hypertension: Korean National Health and Nutrient Examinations Survey 2007-2014
Molecular distance geometry optimization using geometric build-up and evolutionary techniques on GPU
CNN-based Approaches For Cross-Subject Classification in Motor Imagery: From the State-of-The-Art to DynamicNet
Mapping of DNA sequences using hidden Markov model self organizing maps
A regression tree-based Gibbs sampler to learn the regulation programs in a transcription regulatory module network
Diffuse Large B-cell Lymphoma Classification Using Genetic Programming Classifier
Neural grammar networks for toxicology
Leveraging Diffusion-Based Models for Data Augmentation in Maternal-Fetal Ultrasound Classification
The identification of replication origin in bacterial genomes by cumulated phase signal
Edit metric decoding: Return of the side effect machines
Digitization of trait representation in microarray data analysis of wheat infected by fusarium graminearum
A method for design of data-tailored partitioning algorithms for optimizing the number of clusters in microarray analysis
EEG emotion detection review
Towards accurate de novo assembly for genomes with repeats
Bicluster Analysis of Genome-Wide Gene Expression
A Wrapper Feature Selection Method Based on Simulated Annealing Algorithm for Prostate Protein Mass Spectrometry Data
Intrinsic Disorder and Protein modifications: Building an SVM Predictor for Methylation
Enhancing Machine Learning Models for Medical Coding: Diagnostic Codes Mapping and Synthetic Clinical Notes
Domain Generalization of Deep Learning Models Under Subgroup Shift in Breast Cancer Prognosis
Proceedings of the 2006 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB 2006, Renaissance Hotel Downtown, Toronto, Ontario, Canada, September 28-29, 2006
A profile-based protein sequence alignment algorithm for a domain clustering database
The Difference of Bilateral Limbs Involvement During Trunk Bending and Reaching in Stroke Patients
Truncated Profile Hidden Markov Models
Leveraging data mining techniques to understand drivers of obesity
Organizational texts classification using artificial immune recognition systems
Inference of Genetic Networks using Random Forests: A Quantitative Weighting Method for Gene Expression Data
A single-cell Systems Biology approach for disease-specific subpathway extraction
Varying decision inputs in Prisoner's Dilemma
Odd Distance Anchors for Rapid Clustering
A comparative study of the time-series data for inference of gene regulatory networks using B-Spline
Electronic nose inhibition in a spiking neural network for noise cancellation
An information extraction system for protein function prediction
Evolution strategy with greedy probe selection heuristics for the non-unique oligonucleotide probe selection problem
Cost-Sensitive Fuzzy Classification for Medical Diagnosis
A study on the effect of different thermodynamic models for predicting pseudoknotted RNA secondary structures
A multi-trait evaluation of network propagation for GWAS results
Retinal Disease Classification from OCT Images Using Deep Learning Algorithms
The Impact of Variable Selection and Transformation on the Interpretability and Accuracy of Fuzzy Models
On the generalizability of linear and non-linear region of interest-based multivariate regression models for fMRI data
Detecting aberrant signal transduction pathways from high-throughput data using GIST algorithm
A novel gene selection algorithm for cancer identification based on random forest and particle swarm optimization
Multiclass unbalanced protein data classification using sequence features
Proceedings of the 2008 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB 2008, Sun Valley Resort, Sun Valley, Idaho, USA, September 15-17, 2008
Large residual multiple view 3D CNN for false positive reduction in pulmonary nodule detection
Assessing reliability of protein-protein interactions by gene ontology integration
A Predictive Model for Drug-Drug Interaction Using a Similarity Measure
Equivariant Graph Attention Networks with Structural Motifs for Predicting Cell Line-Specific Synergistic Drug Combinations
Enhancement in Focality of Non-Invasive Brain Stimulation through High Definition (HD) Anodal Transcranial Direct Current Stimulation (tDCS) Techniques
Additive noise analysis on microarray data via SVM classification
Prediction of high-throughput protein-protein interactions based on protein sequence information
Assembly independent functional annotation of short-read data using SOFA: Short-ORF functional annotation
A multifuzzy filtering approach to reliable gene expression profile analysis
Improved PCR design for mouse DNA by training finite state machines
Computational intelligence for metabolic pathway design: Application to the pentose phosphate pathway
Effective Side Effect Machines for Decoding
Agent-based modelling of resource flow in plant networks
Preliminary Results for GAMI: A Genetic Algorithms Approach to Motif Inference
Hybrid metaheuristic for multi-objective biclustering in microarray data
Hybrid feature selection method for autism spectrum disorder SNPs
REFBSS: Reference based similarity search in biological network databases
Biclustering of Gene Expression Data Using Genetic Algorithm
Towards Equitable Diagnosis: Bias Evaluation and Mitigation in Skin Cancer Classification
Microbial abundance analysis and phylogenetic adoption in functional metagenomics
Evaluation of the salmon algorithm
A study of comparing the ambiguity of existing virus taxonomy structures using protein's region names in the vector space model
IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB 2017, Manchester, United Kingdom, August 23-25, 2017
Development of a Sliding Window-Based Oversampling Framework for Convolutional Neural Network Sleep Stage Classification Using Polysomnographic Spectrogram Fusion
DeePSLiM: A Deep Learning Approach to Identify Predictive Short-linear Motifs for Protein Sequence Classification
A non-Gaussian factor analysis approach to transcription Network Component Analysis
Toward Protein Structure Analysis with Self-Organizing Maps
SDPA++: A General Framework for Self-Supervised Denoising with Patch Aggregation
Intelligent Biomechanical Simulation of Bone Healing and Remodeling
Matrix factorization for transcriptional regulatory network inference
Evolving Dilation Functions for Parameter Estimation
Predicting Peroxisomal Proteins
Hybrid Architecture for Accelerating DNA Codeword Library Searching
Protein secondary structure prediction using rule induction from coverings
Leveraging protein-protein interactions in phenotype prediction through graph neural networks
Automatic identification of Head and Neck Swellings in MRI images using support vector machines based on cepstral analysis
High sensitivity technique for translation initiation site detection
Reservoir Computing Model For Multi-Electrode Electrophysiological Data Analysis
Neuro-fuzzy Prediction of Biological Activity and Rule Extraction for HIV-1 Protease Inhibitors
AI-Enhanced MALDI-TOF MS Analysis for Important Peaks on Predicting Ciprofloxacin Resistance across Different Gram-Negative Bacteria
Automated classification of author's sentiments in citation using machine learning techniques: A preliminary study
Predicting Drug-Drug Interactions Using Meta-path Based Similarities
Biomarker Identification and Rule Extraction from Mass Spectral Serum Profiles
TooT-BERT-M: Discriminating Membrane Proteins from Non-Membrane Proteins using a BERT Representation of Protein Primary Sequences
miRNAFinder: A pre-microRNA classifier for plants and analysis of feature impact
Evaluating Pruning Methods in Gene Network Inference
Chemical structure recognition and prediction: A machine learning technique
Bacterial phenotype prediction based on methylation site profiles
Interactive evolution instead of default parameters
Blind identification of post-translational modifications via dynamic time warping model
Leveraging Neural Networks in Malaria Control
Artificial Neural Networks for the Rapid Prediction of Possible Ferroptosis Inducers Using the GPx4 Enzyme
Revisiting epidemic network evolution with a new representation
Immunity Vanishing Act: Epidemic Variant and Immunity Analysis via Evolutionary Computation
Harnessing Digital Pathology And Causal Learning To Improve Eosinophilic Esophagitis Dietary Treatment Assignment
PSpice Simulation of Cardiac Impulse Propagation: studying the mechanisms of action potential propagation
Identifying duplications and lateral gene transfers simultaneously and rapidly
Identification of optimal surgical intervention for Chiari I malformation
Towards Accurate Identification of Anti-Hepatitis C Peptides Using Stack-AHCP
Gene Classification Using Codon Usage Patterns and SVMs
Generating Models of Human Gait in Patients with Parkinson's Disease using Genetic Programming
Mining sequence features for DNA-binding site prediction
Fast Data Driven Estimation of Cluster Number in Multiplex Images using Embedded Density Outliers
New approaches to identify cancer heterogeneity in DNA methylation studies using the lepage test and multinomial logistic regression
3D-Shape analysis of the HIV-1 protease ligand binding site
Extracting Efficient Fuzzy If-Then Rules from Mass Spectra of Blood Samples to Early Diagnosis of Ovarian Cancer
Compression of Biological Networks using a Genetic Algorithm with Localized Merge
Biclustering of gene expression microarray data using dynamic deme parallelized genetic algorithm (DdPGA)
LErNet: characterization of lncRNAs via context-aware network expansion and enrichment analysis
Comparison of normalization methods in clinical research applications of mass spectrometry-based proteomics
Feature Selection for Microarray Data Using Least Squares SVM and Particle Swarm Optimization
Using diffusion characters for the taxonomy of self-organizing social networks
Evolutionary Granular Kernel Trees and Applications in Drug Activity Comparisons
Modularization of Protein Interaction Networks by Incorporating Gene Ontology Annotations
A benchmark for automated peak picking of protein NMR spectra
Descriptive Symbolic Models of Gaits from Parkinson's Disease Patients
Statistical neural networks and support vector machine for the classification of genetic mutations in ovarian cancer
GoFuzzKegg: Mapping Genes to KEGG Pathways Using an Ontological Fuzzy Rule System
A hybrid semantic similarity measure for gene ontology based on offspring and path length
Analysis of cell migration patterns in time lapse microscopy using texture features
A sitting posture recognition system based on 3 axis accelerometer
Identification of Genes Associated with Alzheimer's Disease using Evolutionary Computation
GPU-accelerated machine learning techniques enable QSAR modeling of large HTS data
Real Value Solvent Accessibility Prediction using Adaptive Support Vector Regression
ATLAS: A Robust Algorithm for Temporal Sequence Alignment of Treatment Lines using Claim Databases
Understanding the Prediction of Transmembrane Proteins by Support Vector Machine using Association Rule Mining
Evolutionary computation for disease gene association
Comparison of dynamic programming and evolutionary algorithms for RNA secondary structure prediction
Integrating multiple scoring functions to improve protein loop structure conformation space sampling
A Comparative Study of Machine Learning Algorithms and SIFT for Identifying the Quality of Human Induced Pluripotent Stem Cell Colony
Improving the prediction of cardiovascular risk with machine-learning and DNA methylation data
Infinite string block matching features for DNA classification
Prediction of Phi and Psi Angle Fluctuations from Protein Sequences
FAST: Fast annotation with synchronized threads
Comparative analysis of machine learning techniques for the prediction of logP
An automatic gene ontology software tool for bicluster and cluster comparisons
Support vectors based correlation coefficient for gene and sample selection in cancer classification
Generating the logicome from microarray data
Partial Logistic Artificial Neural Network with automatic relevance determination and Markov Chain Monte Carlo methods applied in medical survival studies
Predicting Single Genes Related to Immune-Relevant Processes
Multiple Sequence Alignment using Fuzzy Logic
Analysis of MRI-based cortical surface structure complexity in dementia by sample entropy
A new Kernel non-negative matrix factorization and its application in microarray data analysis
Classification of Parkinson's Disease Patients and Effectiveness of Medication for Freezing of Gait
Evolutionary optimization of interval rules for drug design
A Scaled-2D CNN for Skin Cancer Diagnosis
A neural network approach to retinal layer boundary identification from optical coherence tomography images
A Fast Multivariate Feature-Selection/Classification Approach for Prediction of Therapy Response in Multiple Sclerosis
IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB 2015, Niagara Falls, ON, Canada, August 12-15, 2015
Compound Virtual Screening by Learning-to-Rank with Gradient Boosting Decision Tree and Enrichment-based Cumulative Gain
Machine learning for mortality risk prediction with changing patient demographics
Predicting protein-protein interactions using numerical associational features
Using an aggregation tree to arrange energy function terms for protein structure prediction
Assessing network characteristics of cancer associated genes in metabolic and signaling networks
An efficient machine learning approach to low-complexity filtering in biological sequences
Event-based Detection of Obstructive Sleep Apnea via YOLOv8 Nano and ECG Spectrograms: Integration with Home Sleep Apnea Test and Edge Computing
Factoring tertiary classification into binary classification improves neural network for protein secondary structure prediction
Evolving Boolean networks for biological control: State space targeting in scale free Boolean networks
Comparison of Human and Mouse Pseudogenes
True Or False: How Does Our Brain Decide About Truth?
RIPGA: RNA-RNA interaction prediction using genetic algorithm
Modeling protein-DNA binding time in Stochastic Discrete Event Simulation of Biological Processes
Machine Learning Identifies Novel MicroRNA Biomarkers Predictive for Gastric Cancer
Predicting gene expression level in E. coli from mRNA sequence information
Detection and Assessment of Encephalitis from EEG
An Efficient Sequential RBF Network for Gene Expression-Based Multi-category Classification
A note on population size inspired by the extinction of mammoths
The impact of particles initialization in PSO: Parameter estimation as a case in point
E2D: A Novel Tool for Annotating Protein Domains in Expressed Sequence Tags
Applying brain emotional learning based fuzzy inference system for EEG signal classication between schizophrenics and control participant
Latent growth curve modeling of incomplete timecourse data in microarray gene expression studies
Iris Recognition Algorithm Optimized for Hardware Implementation
Two-way Clustering using Fuzzy ASI for Knowledge Discovery in Microarrays
A survey of loss functions for semantic segmentation
Bleeding classification in Wireless Capsule Endoscopy Images based on Inception-ResNet-V2 and CNNs
Efficient and Scalable Motif Discovery using Graph-based Search
A Comparison of Machine Learning Models for Predicting CRISPR/Cas On-target Efficacy
Combining multiple types of biological data in constraint-based learning of gene regulatory networks
Protein Structure Prediction Using Dynamic Speciation Evolutionary Algorithm with Aggregated Problem Information
Generalized operators and its application to a nonlinear fuzzy clustering model
Secondary structure element voting for RNA gene finding
Optimization of Bacterial Strains with Variable-Sized Evolutionary Algorithms
Identification of Functional RNA Genes Using Evolved Neural Networks
A Random Walk Modelling Approach for Passive Metabolic Pathways in Gram-Negative Bacteria
Data Visualization with Simultaneous Feature Selection
Implementing Phenotypic Plasticity with an Adaptive Generative Representation
A Cross-Entropy method for change-point detection in four-letter DNA sequences
Information theoretic methods for modeling of gene regulatory networks
Overestimation for Multiple Sequence Alignment
Sequence transformation to a complex signature form for consistent phylogenetic tree using Extensible Markov Model
On the performance of particle swarm optimization for parameterizing kinetic models of cellular networks
Using Heatmaps for Deep Learning based Disease Classification
Reverse engineering of gene regulatory networks: A systems approach
Using a Bayesian Posterior Density in the Design of Perturbation Experiments
Classifying Cytochrome c Oxidase subunit 1 by translation initiation mechanism using side effect machines
An intelligent multi-agent system architecture for enhancing self-management of type 2 diabetic patients
Classification of LTR Retrotransposons via Interaction Prediction
Characterization of extremal epidemic networks with diffusion characters
Machine learning based search space optimisation for drug discovery
Graph based MRI brain scan classification and correlation discovery
Machine Learning in Basecalling Decoding Trace Peak Behaviour
Health Vision: An interactive web based platform for healthcare data analysis and visualisation
Wearable antenna design for bioinformation
Predicting Metabolic Reactions with a Molecular Transformer for Drug Design Optimization
Using Node-Based Resilience Clustering to Predict and Analyze Medical Data
Detecting epistasis in the presence of linkage disequilibrium: A focused comparison
Classification of RNA sequences with pseudoknots using features based on partial sequences
Data mining techniques for AFM- based tumor classification
Low noise microelectrode array signal headstage pre-amplifier for in-vitro neuron culture
Filtration and Depth Annotation Improve Non-linear Projection for RNA Motif Discovery
Detecting retroviruses using reading frame information and side effect machines
A Bayesian approach to pairwise RNA Secondary Structure Alignment
Classification of Relapse Ovarian Cancer on MALDI-TOF Mass Spectrometry Data
A Multiobjective Evolutionary Algorithm for Colon Cancer Biomarkers Identification on Gene Expression Data
Automatic Parameterization of the Purine Metabolism Pathway through Discrete Event-based Simulation
A multi-objective genetic algorithm with side effect machines for motif discovery
A Machine Learning algorithm for Predicting Translation Initiation Start Positions
Explaining Body Composition After Bariatric Surgery using Accelerometry
Discovering Connected Patterns in Gene Expression Arrays
Regularized linear discriminant analysis and its recursive implementation for gene subset selection
Shape modeling and clustering of white matter fiber tracts using fourier descriptors
Data-driven longitudinal modeling and prediction of symptom dynamics in major depressive disorder: Integrating factor graphs and learning methods
Lexicode crossover for embeddable biomarkers
Motifs and Modules in Fractured Functional Yeast Networks
Compressed sensing denoising for segmentation of localization microscopy data
Classification of HIV-1 protease crystal structures using Random Forest, linear discriminant analysis and logistic regression
Training Reformulated Radial Basis Function Neural Networks Capable of Identifying Uncertainty in the Recognition of Videotaped Neonatal Seizures
Analyzing fuzzy partitions of Saccharomyces cerevisiae cell-cycle gene expression data by Bayesian validation method
Extracting Information from Weighted Contact Networks via Genetic Algorithms
Biological Sequence Prediction using General Fuzzy Automata
Simulation of the south-eastern Polish subpopulations behaviour
Hierarchical clustering and tree stability
P-found: The Protein Folding and Unfolding Simulation Repository
Interactions between Inter Partes Review and Hatch-Waxman Litigations
Protein model assessment using extented fuzzy decision tree with spatial neighborhood features
Hypermotifs: Novel Discriminatory Patterns for Nucleotide Sequences and their Application to Core Promoter Prediction in Eukaryotes
2012 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB 2012, San Diego, CA, USA, May 9-12, 2012
ProLoc-rGO: Using rule-based knowledge with Gene Ontology terms for prediction of protein subnuclear localization
Fitness directed intervention crossover approaches applied to bio-scheduling problems
Applying neural networks to classify influenza virus antigenic types and hosts
Exploring 3D-QSAR pharmacophore mapping of azaphenanthrenone derivatives for mPGES-1 inhibition Using HypoGen technique
Neutral graph of regulatory Boolean networks using evolutionary computation
Epileptic seizure prediction using zero-crossings analysis of EEG wavelet detail coefficients
Accelerating kernel clustering for biomedical data analysis
An ensemble deep transfer-learning approach to identify COVID-19 cases from chest X-ray images
Discovering novel cancer therapies: A computational modeling and search approach
An Exploration of Differential Utility in Iterated Prisoner's Dilemma
Computation intelligence method to find generic non-coding RNA search models
Positome: A method for improving protein-protein interaction quality and prediction accuracy
Two-stage support vector machines to protein relative solvent accessibility prediction
A visual spreadsheet using HTML5 for whole genome display
Comprehensive Modeling and Question Answering of Cancer Clinical Practice Guidelines using LLMs
Dilated Squeeze-and-Excitation U-Net for Fetal Ultrasound Image Segmentation
Segmentation of mitochondria in intracellular space
Drowsiness Detection based on Continuous State Transitions from Alertness to Sleep using Forehead EEG
Well-connectedness - a novel measure for improving protein complex detection from PPI network
Cluster Methodology Defines Archetype Sentinel Consomic Rats
Very large scale ReliefF for genome-wide association analysis
Hybrid PCA and LDA Analysis of Microarray Gene Expression Data
Finding Healthcare Provider Experts via Sheaf Laplacian
Spatial graphs and Convolutive Models
Classification of Human Emotions using EEG-based Causal Connectivity Patterns
Pervasive computing technologies for retail in-store shopping
Reliable file sharing scheme for mobile peer-to-peer users using epidemic selective caching
The IEEE/ACS International Conference on Pervasive Services (ICPS'04), July 19-23, 2004, American University of Beirut (AUB), Lebanon
Software Engineering of Pervasive Services
DJess - a context-sharing middleware to deploy distributed inference systems in pervasive computing domains
Taxonomy Caching: A Scalable Low-CostMechanism for Indexing Remote Contents in Peer-to-Peer Systems
Query Scoping for the Sensor Internet
Q-CAD: QoS and context aware discovery framework for mobile systems
Web services and speech-based applications
An efficient strategy of processing distributed location based events