Computational Science – ICCS 2023: 23rd International Conference, Prague, Czech Republic, July 3–5, 2023, Proceedings, Part II (Lecture Notes in Computer Science, 14074)

Preface
Organization
Contents – Part II
ICCS 2023 Main Track Full Papers (Continued)
Automated Identification and Location of Three Dimensional Atmospheric Frontal Systems
	1 Introduction
	2 Data
		2.1 Atmospheric Data
		2.2 Frontal Types
	3 Methods
		3.1 Surface Front Detection
		3.2 Cross Sections
		3.3 Extension to Other Pressure Levels
		3.4 Scoring Function
		3.5 Final Processing
	4 Results
		4.1 Probability Density Distribution of Temperature Difference
		4.2 Temperature Difference at Various Levels
		4.3 Evaluation of Frontal Inclination
		4.4 Runtime
		4.5 Potential Extensions
	5 Conclusions and Future Work
	References
Digital Twin Simulation Development and Execution on HPC Infrastructures
	1 Motivation
	2 Typical Requirements of Digital Twins Simulation
	3 A Critical Review of Platforms for Digital Twins
	4 The Concept of a Universal Platform for Digital Twins
	5 Overview of Implementation
	6 Example of Usage - The BoneStrength Application
	7 Evaluation - Assessment of Proof of Concept
	8 Conclusions and Future Work
	References
Numerical Simulation of the Octorotor Flying Car in Sudden Rotor Stop
	1 Introduction
	2 Numerical Approach
		2.1 Governing Equation
		2.2 Unstructured Moving-Grid Finite-Volume Method
		2.3 Sliding Mesh Approach
		2.4 Coupled Computation
	3 Flight Simulation of Flying Car
		3.1 Computational Model
		3.2 Computational Conditions
		3.3 Control Method
	4 Calculation Results
		4.1 Stopping FLU
		4.2 Stopping FLU-FLL
		4.3 No Rotation Speed Limit in Stopping FLU-FLL
	5 Conclusions
	References
Experimental Study of a Parallel Iterative Solver for Markov Chain Modeling
	1 Introduction
	2 Mathematical Background
	3 Numerical Experiments
	4 Conclusions
	References
Impact of Mixed-Precision: A Way to Accelerate Data-Driven Forest Fire Spread Systems
	1 Introduction
	2 Mixed-Precision Methodology
	3 Experimental Study and Results
	4 Conclusions
	References
RL-MAGE: Strengthening Malware Detectors Against Smart Adversaries
	1 Introduction
	2 Adversarial Attack and Defense
		2.1 Proposed RL-MAGE Framework
		2.2 Malware Evasion Attack (MEA)
		2.3 Adversarial Retraining Defense (ARShield)
	3 Experimental Setup
		3.1 Performance Metrics
	4 Experimental Results
		4.1 Baseline Android Malware Detection Models
		4.2 Adversarial Attack on Malware Detection Models
		4.3 ARShield Defense Strategy
	5 Related Work
	6 Conclusion
	References
Online Runtime Environment Prediction for Complex Colocation Interference in Distributed Streaming Processing
	1 Introduction
	2 Motivation
		2.1 Interference Characteristics of Operator Colocation to Runtime Environment
		2.2 Importance of Interference of Operator Colocation to Runtime Environment
	3 Design and Implementation
		3.1 Overview
		3.2 OIProfiler: Operator Interference Profiler
		3.3 CILearner: Colocation Interference Learner
		3.4 REPredictor: Runtime Environment Predictor
	4 Experiments
		4.1 Settings and Datasets
		4.2 Evaluation
	5 Conclusion
	References
ICCS 2023 Main Track Short Papers
On the Impact of Noisy Labels on Supervised Classification Models
	1 Introduction
	2 Materials and Methods
	3 Experimental Results
	4 Conclusions
	References
Improving Patients' Length of Stay Prediction Using Clinical and Demographics Features Enrichment
	1 Introduction
	2 Related Work
	3 Methodology
		3.1 Dataset and Exploratory Analysis of Vermont Dataset
		3.2 Data Processing and Feature Engineering
	4 Experiments
		4.1 Constructing Model to Predict LOS
		4.2 Results
	5 Discussion
	6 Conclusion and Future Work
	References
Compiling Tensor Expressions into Einsum*-1pc
	1 Introduction
	2 Understanding Einsum Notation
	3 A Language for Tensor Expressions
	4 Transformation and Compilation into Einsum
	5 Conclusion
	References
r-softmax: Generalized Softmax with Controllable Sparsity Rate
	1 Introduction
	2 Sparse Version of Softmax
	3 Experiments
		3.1 Alternative to Softmax in Multi-label Classification
		3.2 Alternative to Softmax in the Self-attention Block in Transformer-Based Model
	4 Conclusions
	References
Solving Uncertainly Defined Curvilinear Potential 2D BVPs by the IFPIES
	1 Introduction
	2 Modelling Uncertainties in the IFPIES
	3 Solving the IFPIES
	4 Numerical Results
	5 Conclusions
	References
Improving LocalMaxs Multiword Expression Statistical Extractor
	1 Introduction
	2 Improvement to LocalMaxs Statistical Extractor
		2.1 Background on MWE Statistical Extraction
		2.2 The Previous Version
		2.3 The Improved Version of LocalMaxs
		2.4 Experimental Evaluation of the Improved LocalMaxs Version
	3 Identifying the Set of Stopwords in Corpora
	4 Conclusions
	References
PIES in Multi-region Elastic Problems Including Body Forces
	1 Introduction
	2 PIES for Elasticity with Body Forces
	3 Multi-region Formulation
	4 Modeling of Regions
	5 Tested Examples
		5.1 Example 1
		5.2 Example 2
	6 Conclusions
	References
Fine-Tuning Large Language Models for Answering Programming Questions with Code Snippets
	1 Introduction
	2 Dataset
	3 Methods
		3.1 Large Language Models
		3.2 Fine-Tuning, Prompt Engineering, and Data Preprocessing
		3.3 Evaluation Procedure
	4 Results
	5 Conclusion
	References
Introducing a Computational Method to Retrofit Damaged Buildings under Seismic Mainshock-Aftershock Sequence
	1 Introduction
	2 Modeling of Structures
	3 Computational Method
	4 Retrofitting Damaged Building
	5 Conclusion
	References
Hierarchical Classification of Adverse Events Based on Consumer’s Comments
	1 Introduction
	2 Materials and Methods
		2.1 Dataset
		2.2 Data Processing
		2.3 Classification
	3 Results
	4 Discussion and Conclusions
	References
Estimating Chlorophyll Content from Hyperspectral Data Using Gradient Features
	1 Introduction
	2 Materials and Methods
		2.1 Dataset
		2.2 Estimating Chlorophyll Content Using Machine Learning
	3 Experimental Validation
	4 Conclusions
	References
Image Recognition of Plants and Plant Diseases with Transfer Learning and Feature Compression
	1 Introduction
	2 Related Work
	3 Datasets
	4 Proposed Approach
	5 Experiments and Results
	6 Conclusions
	References
TwitterEmo: Annotating Emotions and Sentiment in Polish Twitter
	1 Introduction
	2 Related Works
	3 Data Gathering
		3.1 Data Source and Preprocessing
		3.2 Annotation Methodology and Guidelines
		3.3 Positive Specific Agreement
		3.4 Rendering the Final Annotation
	4 Data Analysis
		4.1 Overall Results
		4.2 Co-occurrence of Emotions
		4.3 Distribution of Sentiment Over Time
		4.4 Co-occurrence of Emotions and Sentiment
	5 Experiments
		5.1 Sentiment Analysis
		5.2 Emotion Recognition
	6 Conclusions
	References
Timeseries Anomaly Detection Using SAX and Matrix Profiles Based Longest Common Subsequence
	1 Introduction
	2 Related Works
		2.1 Review of Anomaly Detection-Based SAX Approaches
		2.2 Review of the Longest Common Subsequence (LCS) Method
	3 Proposed Method
	4 Experimental Results
		4.1 Anomaly Detection on the Tested Datasets
		4.2 Performance Evaluation
	5 Conclusion
	References
Korpusomat.eu: A Multilingual Platform for Building and Analysing Linguistic Corpora
	1 Introduction
	2 Korpusomat: Creating Universal Dependencies Corpora
	3 Computational Architecture
		3.1 Processing Pipelines
		3.2 Index and Search
	4 Computational Performance Benchmarks
	5 Applying Korpusomat to Multilingual Multidisciplinary Research: A Case Study
	6 Conclusions and Future Work
	References
What Will Happen When We Radically Simplify t-SNE and UMAP Visualization Algorithms? Is It Worth Doing So?
	1 Introduction
	2 Simplifying t-SNE and UMAP
		2.1 Evaluation Criteria
		2.2 t-SNE with Euclidean and Binary Distances
		2.3 UMAP with a Low Negative Sample Rate and a Small Number of Nearest Neighbours
	3 Improvements in the IVHD Algorithm
	4 Experiments
	5 Conclusions
	References
Fast Electromagnetic Field Pattern Calculation with Fourier Neural Operators
	1 Introduction
	2 Methodology
		2.1 Simulation Setup and Dataset Generation with Meep
		2.2 Fourier Neural Operator Architecture
	3 Results
	4 Discussion and Conclusions
	References
Elements of Antirival Accounting with sNFT
	1 Introduction
	2 On Open DLTs and Antirival Goods
	3 Methodology
	4 Model Description
	5 Discussion
	References
Learning Shape-Preserving Autoencoder for the Reconstruction of Functional Data from Noisy Observations
	1 Introduction
	2 Derivation of the Proposed Autoencoder
	3 Selecting N Using the Autoencoder
	References
Attribute Relevance and Discretisation in Knowledge Discovery: A Study in Stylometric Domain
	1 Introduction
	2 Characteristics of Input Space and Data Mining
	3 Procedure for Ranking Driven Discretisation
	4 Experiments
		4.1 Preparation of Input Stylometric Datasets
		4.2 Rankings of Characteristic Features
		4.3 Employed Discretisation Algorithms
		4.4 Classification Process and Evaluation of Performance
	5 Conclusions
	References
Bayesian Networks for Named Entity Prediction in Programming Community Question Answering
	1 Introduction
	2 Methodology
		2.1 Problem Statement
		2.2 Dataset
		2.3 Semantic Entities Recognition
		2.4 Bayesian Networks
	3 Results
		3.1 Comparison of Evaluation Metrics
		3.2 Visual DAG Representation
		3.3 Predictions Analysis
	4 Discussion and Conclusion
	References
Similarity-Based Memory Enhanced Joint Entity and Relation Extraction
	1 Introduction
	2 Related Work
	3 Approach
		3.1 Memory Reading
		3.2 Memory Writing
		3.3 Training
	4 Experiments
	5 Results
	6 Conclusions and Future Work
	References
Solving Complex Sequential Decision-Making Problems by Deep Reinforcement Learning with Heuristic Rules
	1 Introduction
	2 Modifying A3C to Incorporate Heuristic Rules
	3 Heuristic Rules to Encode Human Expertise
		3.1 Heuristic Rules for the River Raid Game
		3.2 Generalizing to Other Problems
	4 Experimental Results
	5 Conclusions
	References
Weighted Hamming Metric and KNN Classification of Nominal-Continuous Data
	1 Introduction
	2 Related Works
	3 Determining the Weights
	4 Numerical Experiments
		4.1 Australian Credit Approval
		4.2 Heart Disease
		4.3 Artificial Dataset
	5 Conclusion and Future Work
	References
Application of Genetic Algorithm to Load Balancing in Networks with a Homogeneous Traffic Flow
	1 Introduction
	2 Problem Formulation and Proposed Solution
		2.1 SDNGALB Algorithm Description
	3 Experimental Setup and Results
	4 Concluding Remarks
	References
Automatic Structuring of Topics for Natural Language Generation in Community Question Answering in Programming Domain
	1 Introduction
	2 Related Works
	3 Data
	4 Methods
		4.1 Thematic Modeling
		4.2 Text Generation
	5 Results
	6 Conclusion
	References
Modelling the Interplay Between Chronic Stress and Type 2 Diabetes On-Set
	1 Introduction
	2 Methods
		2.1 Model Definitions
		2.2 Algorithm Definitions
	3 Results
	4 Discussions and Conclusions
	References
How to Select Superior Neural Network Simulating Inner City Contaminant Transport? Verification and Validation Techniques
	1 Introduction
	2 ANN Model
	3 Domain, Training, and Testing Dataset. Data Preprocessing
	4 ANN Model Validation
	5 Results
	6 Summary
	References
DeBERTNeXT: A Multimodal Fake News Detection Framework
	1 Introduction
	2 Literature Review
	3 Methodology
	4 Experimentation and Results
	5 Conclusion
	References
Optimization and Comparison of Coordinate- and Metric-Based Indexes on GPUs for Distance Similarity Searches
	1 Introduction
	2 Background: Comparison of GDS-Join and COSS
	3 Experimental Evaluation
		3.1 Experimental Methodology
		3.2 Results
	4 Discussion and Conclusions
	References
Sentiment Analysis Using Machine Learning Approach Based on Feature Extraction for Anxiety Detection
	1 Introduction
	2 Related Research
	3 Proposed Method
	4 Results and Discussion
	5 Conclusions
	References
Efficiency Analysis for AI Applications in HPC Systems. Case Study: K-Means
	1 Introduction
	2 Related Works
	3 Efficiency Analysis Model over Application Phases
	4 Experimental Results
	5 Conclusions
	References
A New Algorithm for the Closest Pair of Points for Very Large Data Sets Using Exponent Bucketing and Windowing
	1 Introduction
	2 Proposed Algorithm with Oexp(N) Complexity
	3 Algorithm Analysis
	4 Experimental Results
	5 Conclusions
	References
Heart Rate-Based Identification of Users of IoT Wearables: A Supervised Learning Approach
	1 Introduction
	2 Related Work
	3 Datasets for Classification
	4 Methodology - Heart Rate Based Identification
	5 Results and Discussion
	6 Conclusion and Future Work-0.3em
	References
Transferable Keyword Extraction and Generation with Text-to-Text Language Models
	1 Introduction
	2 Overview of KEG Datasets
	3 Evaluation of Text-to-text Models for KEG
	References
Adsorption and Thermal Stability of Hydrogen Terminationṇ on Diamond Surface: A First-Principles Study
	1 Introduction
	2 Calculation Methods
	3 Results and Discussion
		3.1 Adsorption Properties of Hydrogen Atoms on Diamond Surface
		3.2 Electronic Structure and Band Structure
		3.3 Thermal Stability of Hydrogen Atoms on Diamond Surface
	4 Conclusions
	References
Exploring Counterfactual Explanations for Predicting Student Success
	1 Introduction and Background
	2 Predicting Student Success
		2.1 Dataset and Pre-processing
		2.2 Modelling Approach and Evaluation
	3 Counterfactual Generation and Analysis
	4 User Study
	5 Conclusion
	A Appendix
	References
Advances in High-Performance Computational Earth Sciences: Applications and Frameworks
Development of 3D Viscoelastic Crustal Deformation Analysis Solver with Data-Driven Method on GPU*-1pc
	1 Introduction
	2 Target Problem
	3 Base Multi-grid Solver with Data-Driven Predictor
		3.1 Data-Driven Predictor
		3.2 Multi-grid Solver with Data-Driven Predictor
	4 GPU-Based Multi-grid Solver with Data-Driven Predictor
		4.1 Data-Driven Predictor Enhanced by Memory Footprint Reduction Method
		4.2 Multi-grid Solver Enhanced by Multi-vector Computation
	5 Performance Measurement
		5.1 Performance Measurement Settings
		5.2 GPU Kernel Performance
		5.3 Solver Performance
	6 Application Example
	7 Conclusions
	References
Implementation of Coupled Numerical Analysis of Magnetospheric Dynamics and Spacecraft Charging Phenomena via Code-To-Code Adapter (CoToCoA) Framework*-1pc
	1 Introduction
	2 Physical Models to be Coupled
		2.1 Target Physical Phenomena
		2.2 Magnetospheric Simulation
		2.3 Spacecraft Charging Simulation
	3 Code-To-Code Adapter: CoToCoA
		3.1 Overview of the Framework
		3.2 Asynchronous Control of Coupled Programs
		3.3 Inter-code Exchange of Numerical Data
	4 Implementation of Coupled Analysis
	5 Case Study and Performance Evaluation
	6 Conclusions
	References
Artificial Intelligence and High-Performance Computing for Advanced Simulations
Improving Group Lasso for High-Dimensional Categorical Data*-1pc
	1 Introduction
	2 Linear Models and the Algorithm
		2.1 Notations
		2.2 The Algorithm
	3 Statistical Properties of PDMR
	4 Experiments
		4.1 Simulation Study
		4.2 Real Data Study
	5 Conclusions
	References
Actor-Based Scalable Simulation of N-Body Problem
	1 Introduction
	2 Existing Efficient N-Body Solutions
	3 The Proposed Actor-Based Models
		3.1 Problem-Driven Actor Model
		3.2 Computation-Driven Actor Model
		3.3 Limited-Communication Actor Model
	4 Experimental Evaluation
		4.1 Correctness Evaluation
		4.2 Simulation Performance
		4.3 Strong Scalability
		4.4 Weak Scalability
	5 Conclusion
	References
Intracellular Material Transport Simulation in Neurons Using Isogeometric Analysis and Deep Learning
	1 Introduction
	2 Methodology and Results
	3 Conclusion
	References
Chemical Mixing Simulations with Integrated AI Accelerator
	1 Introduction
	2 Related Work
	3 Chemical Mixing Simulations
	4 AI Accelerator for CFD Simulations
		4.1 Basic Scheme of AI-Accelerated Simulations
		4.2 New Method of Integrating AI Prediction with a CFD Solver: AI Supervisor
		4.3 AI Model for CFD Acceleration
		4.4 Dataset
	5 Experimental Results
		5.1 Testing Platform
		5.2 Accuracy Results
		5.3 Performance Results
	6 Conclusion
	References
Memory-Based Monte Carlo Integration for Solving Partial Differential Equations Using Neural Networks
	1 Introduction
	2 Approximation with Neural Networks
	3 Memory-Based Integration and Optimization
		3.1 Integration
		3.2 Optimization
	4 Relation with the Momentum Method
	5 Conclusions and Future Work
	References
Fast Solver for Advection Dominated Diffusion Using Residual Minimization and Neural Networks
	1 Introduction
	2 Methodology
		2.1 Galerkin Method
		2.2 Petrov-Galerkin Method
		2.3 Advection-Diffusion Problem with Arbitrary Coefficients
		2.4 Theoretical Uh Vh Space Implications and Limitations
		2.5 Residual Minimization - Optimal Test Functions for Given
	3 Numerical Results
		3.1 Efficient Numerical Solution Using Artificial Neural Net and Petrov-Galerkin Method
		3.2 Dealing with Global Optimal Test Functions
	4 Conclusions
	References
Long-Term Prediction of Cloud Resource Usage in High-Performance Computing
	1 Introduction
	2 Related Work
	3 Long-Term Cloud Resource Usage Prediction System
	4 Evaluation
	5 Conclusions
	References
Least-Squares Space-Time Formulation for Advection-Diffusion Problem with Efficient Adaptive Solver Based on Matrix Compression
	1 Introduction
	2 Model Problem
	3 Space-Time Formulation
		3.1 First-Order Formulation
		3.2 Variational Formulation
		3.3 Discrete Problem
	4 Matrix Compression
	5 Compressed Matrix-Vector Multiplication
	6 GMRES Solver
	7 Numerical Results
	8 Conclusions
	References
Towards Understanding of Deep Reinforcement Learning Agents Used in Cloud Resource Management
	1 Introduction
	2 Related Work
		2.1 DRL in Cloud Resource Management
		2.2 Explainable AI in Deep Reinforcement Learning
	3 Environment Setup
	4 Understanding of DRL Agents Used in Cloud Resource Management
		4.1 Input Metric Attribution
		4.2 Debugging the Training Process
		4.3 Policy Summarization
		4.4 Evolution of Policies During Training
		4.5 Removing Irrelevant Features
	5 Conclusions
	References
ML-Based Proactive Control of Industrial Processes*-1.3pc
	1 Introduction
		1.1 Paper Contribution
		1.2 Paper Outline
	2 Related Works and Motivation
		2.1 Motivation
	3 Methodology
	4 Case Study: Gas Production from Underground Reservoir
		4.1 Problem Definition
		4.2 Methodology Adjustment for the Well Control
		4.3 Proposed Solution Application
		4.4 Results
	5 Discussion and Potential Applications
	6 Conclusion
	References
Parallel Algorithm for Concurrent Integration of Three-Dimensional B-Spline Functions*-1pc
	1 Introduction
	2 Integration Algorithm
		2.1 Formulation of the Model Problem
		2.2 Algorithms and Computational Cost
		2.3 Concurrency Model for Integration
		2.4 Results
	3 Conclusions
	References
Biomedical and Bioinformatics Challenges for Computer Science
Resting State Brain Connectivity Analysis from EEG and FNIRS Signals
	1 Introduction
	2 Materials and Methods
		2.1 EEG Data Pre-processing
		2.2 fNIRS Data Pre-processing
		2.3 Signals Reconstruction
		2.4 Connectivity Differences in Brain Networks
	3 Results
	4 Discussion
	References
Anomaly Detection of Motion Capture Data Based on the Autoencoder Approach
	1 Introduction
	2 Related Work
	3 Method
	4 Dataset
	5 Results
	6 Summary and Conclusions
	References
Influence of the Capillaries Bed in Hyperthermia for Cancer Treatment
	1 Introduction
	2 Methods
		2.1 Mathematical Model
		2.2 Numerical Scheme
		2.3 Uncertainty Quantification
	3 Numerical Results
		3.1 Influence of the Capillaries Architecture
		3.2 Influence of the Blood Velocity
	4 Discussion
	5 Conclusions and Future Works
	References
Phase Correction and Noise-to-Noise Denoising of Diffusion Magnetic Resonance Images Using Neural Networks
	1 Introduction
	2 Materials and Methods
		2.1 Modelling Synthetic Training Data for the Phase Shifter
		2.2 Phase Correction
		2.3 Denoising
		2.4 Evaluation Methods
	3 Results
		3.1 Phase Shifter Training and Phase Correction in dMR Images
		3.2 Averaging Phase-Corrected dMR Images
		3.3 N2N Denoiser Training and Denoising of Brain dMR Images
	4 Discussion
	References
CNN-Based Quantification of Blood Vessels Lumen in 3D Images
	1 Introduction
	2 Methods and Materials
	3 Results
	4 Summary and Conclusion
	References
Tensor Train Subspace Analysis for Classification of Hand Gestures with Surface EMG Signals*-1pc
	1 Introduction
	2 Related Works
	3 Methods
		3.1 Tensor Train Model
		3.2 Proposed Method
	4 Results and Discussion
	5 Conclusions
	References
A New Statistical Approach to Image Reconstruction with Rebinning for the X-Ray CT Scanners with Flying Focal Spot Tube*-1pc
	1 Introduction
	2 Flying Focus Spot Technique
	3 Reconstruction Algorithm
		3.1 Rebinning Operation
	4 Results
	5 Conclusion
	References
Investigating the Sentiment in Italian Long-COVID Narrations
	1 Introduction
	2 Background on Sentiment Analysis of COVID-19 Texts
	3 Materials and Methods
		3.1 Long-COVID PASC Dataset
		3.2 Sentiment Analysis Using VADER
		3.3 Topic Modeling Using LDA
	4 Results and Discussion
		4.1 Exploratory Data Analysis
		4.2 Polarity Analysis
		4.3 Topic Modeling Analysis
	5 Conclusions and Future Work
	References
Toward the Human Nanoscale Connectome: Neuronal Morphology Format, Modeling, and Storage Requirement Estimation
	1 Introduction
	2 Neuron Morphology and Types
	3 Neuronal Morphologic Parameters and Nanoscale Data Format
	4 Neuronal Morphology Geometric Models
	5 Storage Requirements for Volumetric and Geometric Neuronal Morphology Models
		5.1 Volumetric Neuronal Models
		5.2 Geometric Neuronal Models
	6 Discussion
	References
Replacing the FitzHugh-Nagumo Electrophysiology Model by Physics-Informed Neural Networks*-1pc
	1 Introduction
	2 Background
	3 Methods
		3.1 FitzHugh-Nagumo Model
		3.2 Neural Network Architecture
		3.3 Advanced Techniques
		3.4 Validation
	4 Results
		4.1 Basic Scenario with Time as the Single Parameter
		4.2 PINN Parameterized by Time and the Initial Condition for U
		4.3 PINNs for Any Initial Conditions of the FHN Equations (U0, W0) and Time
		4.4 PINNs Replace the FHN Model Parameterized by Any Initial Conditions, the Parameter K, and Time
	5 Discussion
	6 Conclusions
	References
Sensitivity Analysis of a Two-Compartmental Differential Equation Mathematical Model of MS Using Parallel Programming*-1pc
	1 Introduction
	2 Methods
		2.1 Mathematical Model
		2.2 Numerical Implementation
		2.3 Sensitivity Analysis
		2.4 Parallel Implementation
	3 Results and Discussion
		3.1 Computational Environment
		3.2 Results for the Parallel Execution
		3.3 Sensitivity Analysis
	4 Conclusions
	References
Hierarchical Relative Expression Analysis in Multi-omics Data Classification*-1pc
	1 Introduction
	2 Relative Multi-test Classification Tree
		2.1 Overview
		2.2 Constituting the Multi-test
	3 Experiments
		3.1 Datasets and Setup
		3.2 Results
	4 Conclusions
	References
Author Index