Emanuel Weitschek

Orcid: 0000-0002-8045-2925

According to our database1, Emanuel Weitschek authored at least 37 papers between 2009 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
hdlib: A Python library for designing Vector-Symbolic Architectures.
J. Open Source Softw., October, 2023

2021
Price Discrimination in the Online Airline Market: An Empirical Study.
J. Theor. Appl. Electron. Commer. Res., 2021

2020

A Comparison of Apache Spark Supervised Machine Learning Algorithms for DNA Splicing Site Prediction.
Proceedings of the Neural Approaches to Dynamics of Signal Exchanges, 2020

SP-BRAIN: scalable and reliable implementations of a supervised relevance-based machine learning algorithm.
Soft Comput., 2020

A Brain-Inspired Hyperdimensional Computing Approach for Classifying Massive DNA Methylation Data of Cancer.
Algorithms, 2020

An In-Memory Cognitive-Based Hyperdimensional Approach to Accurately Classify DNA-Methylation Data of Cancer.
Proceedings of the Database and Expert Systems Applications, 2020

2019
Novel algorithm to extract multiple solutions for RNA sequence classification problem.
Proceedings of the 17th International Conference on High Performance Computing & Simulation, 2019

Smart Persistence and Accessibility of Genomic and Clinical Data.
Proceedings of the Database and Expert Systems Applications, 2019

Extending Knowledge on Genomic Data and Metadata of Cancer by Exploiting Taxonomy-Based Relaxed Queries on Domain-Specific Ontologies.
Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2019

2018
Combining EEG signal processing with supervised methods for Alzheimer's patients classification.
BMC Medical Informatics Decis. Mak., 2018

CamurWeb: a classification software and a large knowledge base for gene expression data of cancer.
BMC Bioinform., 2018

Combining DNA methylation and RNA sequencing data of cancer for supervised knowledge extraction.
BioData Min., 2018

Classification of Large DNA Methylation Datasets for Identifying Cancer Drivers.
Big Data Res., 2018

Classifying Big DNA Methylation Data: A Gene-Oriented Approach.
Proceedings of the Database and Expert Systems Applications, 2018

An integrated approach based on EEG signals processing combined with supervised methods to classify Alzheimer's disease patients.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

2017
A novel method and software for automatically classifying Alzheimer's disease patients by magnetic resonance imaging analysis.
Comput. Methods Programs Biomed., 2017

TCGA2BED: extracting, extending, integrating, and querying The Cancer Genome Atlas.
BMC Bioinform., 2017

Extending the Genomic Data Model and the Genometric Query Language with Domain Taxonomies.
Proceedings of the Web Engineering - 17th International Conference, 2017

Smart open online tool for adaptive education on Cloud Computing.
Proceedings of the 2017 IEEE Global Engineering Education Conference, 2017

String-Matching and Alignment Algorithms for Finding Motifs in NGS Data.
Proceedings of the Algorithms for Next-Generation Sequencing Data, Techniques, 2017

2016
Highlights from the 11th ISCB Student Council Symposium 2015: Dublin, Ireland. 10 July 2015.
BMC Bioinform., February, 2016

Optimal discretization and selection of features by association rates of joint distributions.
RAIRO Oper. Res., 2016

Integer programming models for feature selection: New extensions and a randomized solution algorithm.
Eur. J. Oper. Res., 2016

CAMUR: Knowledge extraction from RNA-seq cancer data through equivalent classification rules.
Bioinform., 2016

MISSEL: a method to identify a large number of small species-specific genomic subsequences and its application to viruses classification.
BioData Min., 2016

Genomic Data Integration: A Case Study on Next Generation Sequencing of Cancer.
Proceedings of the 27th International Workshop on Database and Expert Systems Applications, 2016

IRIS-TCGA: An Information Retrieval and Integration System for Genomic Data of Cancer.
Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2016

2015
LAF: Logic Alignment Free and its application to bacterial genomes classification.
BioData Min., 2015

GELA: A Software Tool for the Analysis of Gene Expression Data.
Proceedings of the 26th International Workshop on Database and Expert Systems Applications, 2015

2014
Supervised DNA Barcodes species classification: analysis, comparisons and results.
BioData Min., 2014

Classifying Bacterial Genomes with Compact Logic Formulas on k-Mer Frequencies.
Proceedings of the 25th International Workshop on Database and Expert Systems Applications, 2014

Alzheimer's disease patients classification through EEG signals processing.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence and Data Mining, 2014

2013
Clinical Data Mining: Problems, Pitfalls and Solutions.
Proceedings of the 24th International Workshop on Database and Expert Systems Applications, 2013

2012
Mining logic models in the presence of noisy data.
Proceedings of the International Symposium on Artificial Intelligence and Mathematics, 2012

MALA: A Microarray Clustering and Classification Software.
Proceedings of the 23rd International Workshop on Database and Expert Systems Applications, 2012

2009
Learning to classify species with barcodes.
BMC Bioinform., 2009


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