17th International Conference on Computational Intelligence Methods for Bioinformatics and Biostatistics

CIBB 2021

CIBB 2021 - Keynotes

Predicting medical complications in intensive care: early recognition of sepsis using machine learning
  • Karsten Borgwardt
Cellular and gene signatures of tumor-infiltrating dendritic cells and natural-killer cells predict prognosis of neuroblastoma
  • Ombretta Melaiu
A new concordant partial AUC and partial c statistic for imbalanced data in the evaluation of machine learning algorithms
  • André M. Carrington
Successful writing of bioinformatics grant proposals
  • Olaf Wolkenhauer
The prevalence threshold metric and its application to obstetrics and gynecology screening tests
  • Jacques Balayla
DOME: recommendations for supervised machine learning validation in biology
  • Dmytro Fishman
Interdisciplinary research and scientific journals: how to get the best out of both
  • Stefano Tonzani
Instructions for supplements and post-proceedings and farewell
  • Davide Chicco

CIBB 2021 - Main Track

Integrating Decision Tree Learning on the Graph Database Neo4j to Analyze Clinical Data
  • Rahul Mondal
Topology-Aware Optimisation of Vaccination Strategy for Minimising Virus Spreading
  • Pietro Hiram Guzzi
A collaborative training approach for stress detection
  • Eleonora Ciceri
Camera-assisted Motor State Assessment of Patients with Parkinson’s Disease
  • Vassilis Plagianakos
Recent Dimensionality Reduction Techniques for High-Dimensional COVID-19 Data
  • Sotirios Tasoulis
Interpretability methods for differential gene analysis of scRNA-seqclustering models
  • Ciortan Madalina
High-dimensional multi-trait GWAS by reverse prediction of genotypes using machine learning methods
  • Muhammad Ammar Malik
Identifying SNP associations and predicting disease risk from Genome-wide association studies using LassoNet
  • Hussain Sajwani
Cancer-lncRNA: A Database of lncRNAs exploring chromosomal linkages in human cancers
  • Gaurav Kumar Bhagat
Summarizing Global SARS–CoV–2 Geographical Spread by Phylogenetic Multitype Branching Models
  • Hao Chi Kiang
Batch Effect Detection in RNA-Seq Data using Machine-Learning-Based Automated Assessment of Quality
  • Maximilian Sprang
Structural Classification of RNA Molecules using ASPRA Distance
  • Michela Quadrini
Improving bacterial sRNA identification by combining genomic context and sequence-derived features
  • Moustafa Elsisy
Improved prediction of H3K27ac histone marks in time-series experiments at one time-point using deep learning and novel DNA sequence features extracted from a reference time-point.
  • Mohammad Hallal
Feature Relevance in lncRNA Microarray Data
  • Emanuel Di Nardo
RF-Isolation: a Novel Representation of Structural Connectivity Networks for Multiple Sclerosis Classification
  • Manuele Bicego
Boolean Network Inference at Different Levels of Logical Complexity
  • Eline van Mantgem
BRANET: Graph-based Integration of Multi-omics Data with Biological a priori for Regulatory Network Inference
  • Surabhi Jagtap
Text mining enhancements for image recognitions of gene names and gene relations
  • Yijie Ren
Table detection in text documents for extracting regulatory interaction from literature of regulation in bacteria
  • Axel Zagal-Norman
What architectures could lead next generation single cell analysis pipelines?
  • Zhengyu Chen
Predictive modeling for Inflammatory Bowel Disease detection from endoscopic imaging
  • Marco Chierici
An alternative learning algorithm for tree augmented naive Bayes: an application to facial biotype classification
  • Gonzalo A. Ruz
Deep Learning based Deblocking of Fourier Ptycographic images
  • Mattia Delli Priscoli
Towards Generating Synthetic Pathways for Object Detection
  • Joshua Thompson
Automatic Plankton Detection and Classification on Raw Hologram with a Single Deep Learning Architecture
  • Romane Scherrer
Using Machine Learning to Predict Reading Strategies from fNIRS Data
  • Matthew Campbell
Convolution and Fast Fourier Transform to Compare Symbol Sequences
  • Michael Sadovsky
RNA Secondary Structure Factorization in Prime Tangles
  • Daniele Marchei
Chemical Language Transformer for Drug-Target Binding Affinity
  • Vincenzo Marco De Luca
A Non-Negative Matrix Tri-Factorization based Method for Predicting Antitumor Drug Sensitivity
  • Pietro Pinoli
Synthetic cell biotechnology as a useful platform for chemical AI
  • Pasquale Stano

Special Track  14 PRESENTATIONS
CIBB 2021 - Neurodegenerative Disease Track

Percolation-based Stability Analysis of Functional Connectivity in Mild Cognitive Impairment and Alzheimer's Disease
  • Angela Lombardi
Peeking inside the box: transfer learning vs 3D convolutional neural networks applied in neurodegenerative diseases
  • Amira Soliman
Impaired core networks and time-distant reconfiguration patterns in Alzheimer's disease
  • Kai Du
Computer-aided diagnosis system for Alzheimer’s disease using principal component analysis and machine learning-based approaches
  • Lilia Lazli
Knowledge Graph-based Neurodegenerative Diseases and Diet Relationship Discovery
  • Yi Nian
Deep transfer learning for DTI- and MRI- based early diagnosis of cognitive decline and dementia
  • Nitsa Herzog
Non-linear Clustering of Smell Clinic Data Reliably Differs Parkinson’s Disease Patients and Healthy People
  • Michael Sadovsky
Stratification of Parkinson's disease patients from the Fox Insight study
  • Anita Valmarska
Identifying prototype model patients in Amyotrophic Lateral Sclerosis patients at diagnosis through Archetypal Analysis
  • Isotta Trescato
Inspecting Progression Trajectories in Amyotrophic Lateral Sclerosis using Process Mining
  • Erica Tavazzi
End-to-end facial landmark detection to characterise oro-facial impairments in neurological patients: towards innovative techniques for the assessment of dysarthria
  • Lucia Migliorelli
Specialized prognostic models based on disease progression patterns: predicting non-invasive ventilation in ALS patients stratified by progression rate
  • Andreia Martins
A statistical analysis of multiple sclerosis risk factor interaction with Bayesian networks
  • Morghan Hartmann
In silico clinical trials for Relapsing-Remitting Multiple Sclerosis with MS TreatSim
  • Fianne Sips

Special Track  6 PRESENTATIONS
CIBB 2021 - Modeling and Simulation Track

Genetic Algorithms for the identification of marker panels in single-cell RNA Data
  • Andrea Tangherloni
Combining Denoising and Flux Balance Analysis for Single-cellCluster Analysis
  • Bruno Giovanni Galuzzi
The First In-silico Model of Leg Movement Activity During Sleep
  • Unregistered User
A multi-objective optimisation approach for the linear modelling of cerebral autoregulation system
  • Felipe-Andrés Bello Robles
OG-SPACE: Optimized Stochastic Simulation of Spatial Models of Cancer Evolution
  • Fabrizio Angaroni
Environment perception in biochemical reactions
  • Stefano Maestri

Special Track  3 PRESENTATIONS
CIBB 2021 - DOME Track

Deep Recurrent Neural Networks for Generating Synthetic Coronavirus Spike Protein Sequences
  • Lisa Crossman
The need of standardised metadata to encode causal relationships: Towards safer data-driven machine learning biological solutions
  • Beatriz Garcia Santa Cruz
Toward a standard formal semantic representation of the model card report
  • Muhammad "Tuan" Amith

Special Track  6 PRESENTATIONS
CIBB 2021 - Machine Learning Track

A Machine Learning-Based Efficient Sepsis Detection Using Electronic Health Records
  • Kai-Cheng Hsu
Linear regression modelling to assess the impact of socio-economic, demographic and health-related variables on wellbeing in the elderly population
  • Isotta Trescato
A statistical network method to identify relevant genes for pathway enrichment analysis
  • Giuseppe Agapito
Interlead Conversion of Single-Lead Blindly-Segmented Electrocardiogram Signals
  • João Ribeiro Pinto
X-AI-Covid-19 Diagnosis System based Multi-Datasets
  • Aicha Boutorh
Soft brain ageing indicators based on light-weight LeNet-like neural networks and localized 2D brain age biomarkers.
  • Francesco Bardozzo