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E. Weitschek · SciRah

Researcher profile · Semantic Scholar

E. Weitschek

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E. Weitschek — researcher profile on SciRah

h-index: 20
Works: 85
Citations: 1,536

Most-cited papers

DNA Barcoding of Recently Diverged Species: Relative Performance of Matching Methods
R. van Velzen, E. Weitschek, G. Felici, F. Bakker
2012PLoS ONE169 citations Open access
Semantic Scholar
Combining EEG signal processing with supervised methods for Alzheimer’s patients classification
G. Fiscon, E. Weitschek, Alessio Cialini, G. Felici +5 more
2018BMC Medical Informatics and Decision Making163 citations Open access
Semantic Scholar
Gene Expression Biomarkers in the Brain of a Mouse Model for Alzheimer's Disease: Mining of Microarray Data by Logic Classification and Feature Selection
I. Arisi, M. D'Onofrio, R. Brandi, A. Felsani +6 more
2011Journal of Alzheimer's Disease131 citations
Semantic Scholar
EEG Signal Processing and Supervised Machine Learning to Early Diagnose Alzheimer’s Disease
D. Pirrone, E. Weitschek, Primiano Di Paolo, S. De Salvo +1 more
2022Applied Sciences114 citations Open access
Semantic Scholar
Supervised DNA Barcodes species classification: analysis, comparisons and results
E. Weitschek, G. Fiscon, G. Felici
2014BioData Mining107 citations Open access
Semantic Scholar
Learning to classify species with barcodes
P. Bertolazzi, G. Felici, E. Weitschek
2009BMC Bioinformatics106 citations Open access
Semantic Scholar
BLOG 2.0: a software system for character‐based species classification with DNA Barcode sequences. What it does, how to use it
E. Weitschek, R. van Velzen, G. Felici, P. Bertolazzi
2013Molecular Ecology Resources85 citations Open access
Semantic Scholar
Integer programming models for feature selection: New extensions and a randomized solution algorithm
P. Bertolazzi, G. Felici, P. Festa, G. Fiscon +1 more
2016European Journal of Operational Research64 citations
Semantic Scholar
Alzheimer's disease patients classification through EEG signals processing
G. Fiscon, E. Weitschek, G. Felici, P. Bertolazzi +3 more
2014IEEE Symposium on Computational Intelligence and Data Mining63 citations
Semantic Scholar
Classification of selectively constrained DNA elements using feature vectors and rule-based classifiers.
D. Polychronopoulos, E. Weitschek, S. Dimitrieva, P. Bucher +2 more
2014Genomics50 citations Open access
Semantic Scholar
Classification of large DNA methylation datasets for identifying cancer drivers
Fabrizio Celli, Fabio Cumbo, E. Weitschek
2018Big Data Research40 citations Open access
Semantic Scholar
Human polyomaviruses identification by logic mining techniques
E. Weitschek, Alessandra Lo Presti, Guido Drovandi, G. Felici +3 more
2012Virology Journal39 citations Open access
Semantic Scholar
TCGA2BED: extracting, extending, integrating, and querying The Cancer Genome Atlas
Fabio Cumbo, G. Fiscon, S. Ceri, M. Masseroli +1 more
2017BMC Bioinformatics38 citations Open access
Semantic Scholar
A novel method and software for automatically classifying Alzheimer's disease patients by magnetic resonance imaging analysis
Fabio Previtali, P. Bertolazzi, G. Felici, E. Weitschek
2017Comput. Methods Programs Biomed.38 citations
Semantic Scholar
CAMUR: Knowledge extraction from RNA-seq cancer data through equivalent classification rules
Valerio Cestarelli, G. Fiscon, G. Felici, P. Bertolazzi +1 more
2015Bioinform.34 citations Open access
Semantic Scholar
Combining DNA methylation and RNA sequencing data of cancer for supervised knowledge extraction
E. Cappelli, G. Felici, E. Weitschek
2018BioData Mining33 citations Open access
Semantic Scholar
Clinical Data Mining: Problems, Pitfalls and Solutions
E. Weitschek, G. Felici, P. Bertolazzi
20132013 24th International Workshop on Database and Expert Systems Applications26 citations
Semantic Scholar
MALA: A Microarray Clustering and Classification Software
E. Weitschek, G. Felici, P. Bertolazzi
20122012 23rd International Workshop on Database and Expert Systems Applications22 citations
Semantic Scholar
An integrated approach based on EEG signals processing combined with supervised methods to classify Alzheimer’s disease patients
G. Fiscon, E. Weitschek, M. C. De Cola, G. Felici +1 more
2018IEEE International Conference on Bioinformatics and Biomedicine21 citations
Semantic Scholar
A Brain-Inspired Hyperdimensional Computing Approach for Classifying Massive DNA Methylation Data of Cancer
Fabio Cumbo, E. Cappelli, E. Weitschek
2020Algorithms20 citations Open access
Semantic Scholar
Next generation sequencing reads comparison with an alignment-free distance
E. Weitschek, D. Santoni, G. Fiscon, M. C. De Cola +2 more
2014BMC Research Notes20 citations Open access
Semantic Scholar
OpenGDC: Unifying, Modeling, Integrating Cancer Genomic Data and Clinical Metadata
E. Cappelli, Fabio Cumbo, A. Bernasconi, Arif Canakoglu +3 more
2020Applied Sciences18 citations Open access
Semantic Scholar
Price Discrimination in the Online Airline Market: An Empirical Study
Stefano Azzolina, M. Razza, Kevin Sartiano, E. Weitschek
2021Journal of Theoretical and Applied Electronic Commerce Research17 citations Open access
Semantic Scholar
LAF: Logic Alignment Free and its application to bacterial genomes classification
E. Weitschek, F. Cunial, G. Felici
2015BioData Mining16 citations Open access
Semantic Scholar
MISSEL: a method to identify a large number of small species-specific genomic subsequences and its application to viruses classification
G. Fiscon, E. Weitschek, E. Cella, Alessandra Lo Presti +7 more
2016BioData Mining14 citations Open access
Semantic Scholar
CamurWeb: a classification software and a large knowledge base for gene expression data of cancer
E. Weitschek, S. Di Lauro, E. Cappelli, P. Bertolazzi +1 more
2018BMC Bioinformatics13 citations Open access
Semantic Scholar
Feature selection with vector-symbolic architectures: a case study on microbial profiles of shotgun metagenomic samples of colorectal cancer
Fabio Cumbo, Simone Truglia, E. Weitschek, D. Blankenberg
2024bioRxiv11 citations Open access
Semantic Scholar
hdlib: A Python library for designing Vector-Symbolic Architectures
Fabio Cumbo, E. Weitschek, D. Blankenberg
2023Journal of Open Source Software10 citations Open access
Semantic Scholar
Genomic Data Integration: A Case Study on Next Generation Sequencing of Cancer
E. Weitschek, Fabio Cumbo, E. Cappelli, G. Felici
2016International Conference on Database and Expert Systems Applications10 citations
Semantic Scholar
Classifying Big DNA Methylation Data: A Gene-Oriented Approach
E. Weitschek, Fabio Cumbo, E. Cappelli, G. Felici +1 more
2018DEXA Workshops6 citations
Semantic Scholar
Highlights from the 11th ISCB Student Council Symposium 2015
Katie Wilkins, Mehedi Hassan, Margherita Francescatto, J. B. Jespersen +44 more
2016BMC Bioinformatics5 citations Open access
Semantic Scholar
Clustering and Classification Techniques for Gene Expression Profile Pattern Analysis
E. Weitschek, G. Fiscon, Valentina Fustaino, G. Felici +1 more
20155 citations
Semantic Scholar
Classifying Bacterial Genomes with Compact Logic Formulas on k-Mer Frequencies
E. Weitschek, F. Cunial, G. Felici
20142014 25th International Workshop on Database and Expert Systems Applications5 citations
Semantic Scholar
Species classification using DNA Barcode sequences: A comparative analysis
E. Weitschek, R. van Velzen, G. Felici
20115 citations
Semantic Scholar
Optimal discretization and selection of features by association rates of joint distributions
D. Santoni, E. Weitschek, G. Felici
2016RAIRO Oper. Res.4 citations Open access
Semantic Scholar
A Comparison of Apache Spark Supervised Machine Learning Algorithms for DNA Splicing Site Prediction
Valerio Morfino, S. Rampone, E. Weitschek
2020Neural Approaches to Dynamics of Signal Exchanges3 citations
Semantic Scholar
GELA: A Software Tool for the Analysis of Gene Expression Data
E. Weitschek, G. Fiscon, G. Felici, P. Bertolazzi
2015International Conference on Database and Expert Systems Applications3 citations Open access
Semantic Scholar
Mining logic models in the presence of noisy data
G. Felici, E. Weitschek
2012International Symposium on Artificial Intelligence and Mathematics2 citations
Semantic Scholar
An In-Memory Cognitive-Based Hyperdimensional Approach to Accurately Classify DNA-Methylation Data of Cancer
Fabio Cumbo, E. Weitschek
2020DEXA Workshops1 citations
Semantic Scholar
Smart Persistence and Accessibility of Genomic and Clinical Data
E. Cappelli, E. Weitschek, Fabio Cumbo
2019DEXA Workshops1 citations
Semantic Scholar
SP-BRAIN: scalable and reliable implementations of a supervised relevance-based machine learning algorithm
Valerio Morfino, S. Rampone, E. Weitschek
2019Soft Computing - A Fusion of Foundations, Methodologies and Applications1 citations
Semantic Scholar
OpenGDC: standardizing, extending, and integrating genomics data of cancer
E. Cappelli, Fabio Cumbo, A. Bernasconi, M. Masseroli +1 more
20181 citations
Semantic Scholar
Extending the Genomic Data Model and the Genometric Query Language with Domain Taxonomies
E. Cappelli, E. Weitschek
2017International Conference on Web Engineering1 citations
Semantic Scholar
Smart open online tool for adaptive education on Cloud Computing
Dario Assante, C. Fornaro, E. Weitschek, M. Castro +10 more
2017IEEE Global Engineering Education Conference1 citations
Semantic Scholar
IRIS-TCGA: An Information Retrieval and Integration System for Genomic Data of Cancer
Fabio Cumbo, E. Weitschek, P. Bertolazzi, G. Felici
2016Computational Intelligence Methods for Bioinformatics and Biostatistics1 citations
Semantic Scholar
Peer Review #2 of "Machine learning analysis of TCGA cancer data (v0.1)"
Jose Liares-Blanco, Alejandro Pazos, C. Fernandez-Lozano, Jose Li ares-Blanco +467 more
20210 citations Open access
Semantic Scholar
Extending Knowledge on Genomic Data and Metadata of Cancer by Exploiting Taxonomy-Based Relaxed Queries on Domain-Specific Ontologies
E. Cappelli, E. Weitschek, Fabio Cumbo
2019Computational Intelligence Methods for Bioinformatics and Biostatistics0 citations
Semantic Scholar
Novel algorithm to extract multiple solutions for RNA sequence classification problem
Naoual Guannoni, F. Mhamdi, E. Weitschek, M. Elloumi
2019International Symposium on High Performance Computing Systems and Applications0 citations
Semantic Scholar
Data for: Classification of large DNA methylation datasets for identifying cancer drivers
E. Weitschek, Fabio Cumbo, Fabrizio Celli
20180 citations
Semantic Scholar
String-Matching and Alignment Algorithms for Finding Motifs in NGS Data
G. Fiscon, E. Weitschek
2017Algorithms for Next-Generation Sequencing Data0 citations
Semantic Scholar

Frequent co-authors

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G. Felici — researcher profile on SciRah
P. Bertolazzi×20
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G. Fiscon×13
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Fabio Cumbo×12
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×11

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M. C. De Cola×5

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