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ORCIDEmanuel Weitschek
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2020 – today
- 2023
[j18]Fabio Cumbo
, Emanuel Weitschek, Daniel Blankenberg:
hdlib: A Python library for designing Vector-Symbolic Architectures. J. Open Source Softw. 8(90): 5704 (2023)- 2021
- [j17]Stefano Azzolina, Manuel Razza, Kevin Sartiano, Emanuel Weitschek:
Price Discrimination in the Online Airline Market: An Empirical Study. J. Theor. Appl. Electron. Commer. Res. 16(6): 2282-2303 (2021) - 2020
- [j16]Fabio Cumbo, Eleonora Cappelli, Emanuel Weitschek:
A Brain-Inspired Hyperdimensional Computing Approach for Classifying Massive DNA Methylation Data of Cancer. Algorithms 13(9): 233 (2020) - [j15]Valerio Morfino, Salvatore Rampone, Emanuel Weitschek:
SP-BRAIN: scalable and reliable implementations of a supervised relevance-based machine learning algorithm. Soft Comput. 24(10): 7417-7434 (2020) - [c16]Fabio Cumbo, Emanuel Weitschek:
An In-Memory Cognitive-Based Hyperdimensional Approach to Accurately Classify DNA-Methylation Data of Cancer. DEXA Workshops 2020: 3-10 - [p2]Valerio Morfino, Salvatore Rampone, Emanuel Weitschek:
A Comparison of Apache Spark Supervised Machine Learning Algorithms for DNA Splicing Site Prediction. Neural Approaches to Dynamics of Signal Exchanges 2020: 133-143 - [d1]Fabio Cumbo, Eleonora Cappelli, Anna Bernasconi, Arif Canakoglu, Stefano Ceri, Marco Masseroli, Emanuel Weitschek:
OpenGDC. Zenodo, 2020
2010 – 2019
- 2019
- [c15]Eleonora Cappelli, Emanuel Weitschek, Fabio Cumbo:
Extending Knowledge on Genomic Data and Metadata of Cancer by Exploiting Taxonomy-Based Relaxed Queries on Domain-Specific Ontologies. CIBB 2019: 33-43 - [c14]Eleonora Cappelli, Emanuel Weitschek, Fabio Cumbo:
Smart Persistence and Accessibility of Genomic and Clinical Data. DEXA Workshops 2019: 8-14 - [c13]Naoual Guannoni, Faouzi Mhamdi, Emanuel Weitschek, Mourad Elloumi:
Novel algorithm to extract multiple solutions for RNA sequence classification problem. HPCS 2019: 856-863 - 2018
- [j14]Fabrizio Celli, Fabio Cumbo, Emanuel Weitschek:
Classification of Large DNA Methylation Datasets for Identifying Cancer Drivers. Big Data Res. 13: 21-28 (2018) - [j13]Eleonora Cappelli, Giovanni Felici, Emanuel Weitschek:
Combining DNA methylation and RNA sequencing data of cancer for supervised knowledge extraction. BioData Min. 11(1): 22:1-22:23 (2018) - [j12]Emanuel Weitschek, Silvia Di Lauro, Eleonora Cappelli, Paola Bertolazzi, Giovanni Felici:
CamurWeb: a classification software and a large knowledge base for gene expression data of cancer. BMC Bioinform. 19-S(10): 245-256 (2018) - [j11]Giulia Fiscon, Emanuel Weitschek, Alessio Cialini, Giovanni Felici, Paola Bertolazzi, Simona De Salvo, Alessia Bramanti, Placido Bramanti, Maria Cristina De Cola:
Combining EEG signal processing with supervised methods for Alzheimer's patients classification. BMC Medical Informatics Decis. Mak. 18(1): 35:1-35:10 (2018) - [c12]Giulia Fiscon, Emanuel Weitschek, Maria Cristina De Cola, Giovanni Felici, Paola Bertolazzi:
An integrated approach based on EEG signals processing combined with supervised methods to classify Alzheimer's disease patients. BIBM 2018: 2750-2752 - [c11]Emanuel Weitschek, Fabio Cumbo, Eleonora Cappelli, Giovanni Felici, Paola Bertolazzi:
Classifying Big DNA Methylation Data: A Gene-Oriented Approach. DEXA Workshops 2018: 138-149 - [i1]Fabrizio Celli, Fabio Cumbo, Emanuel Weitschek:
Classification of large DNA methylation datasets for identifying cancer drivers. CoRR abs/1804.04839 (2018) - 2017
- [j10]Fabio Cumbo, Giulia Fiscon, Stefano Ceri, Marco Masseroli, Emanuel Weitschek:
TCGA2BED: extracting, extending, integrating, and querying The Cancer Genome Atlas. BMC Bioinform. 18(1): 6:1-6:9 (2017) - [j9]Fabio Previtali, Paola Bertolazzi, Giovanni Felici, Emanuel Weitschek:
A novel method and software for automatically classifying Alzheimer's disease patients by magnetic resonance imaging analysis. Comput. Methods Programs Biomed. 143: 89-95 (2017) - [c10]Dario Assante, Claudio Fornaro, Emanuel Weitschek, Manuel Castro, Sergio Martín, Ileana Hamburg, Aisling Owens, Ricardo Tavio Gallo, Kostas Konstantinou, Stekoulis Spyros, Alcino Pascoal, Catarina Reis, Mario Spatafora, Ana Maria Cotovanu:
Smart open online tool for adaptive education on Cloud Computing. EDUCON 2017: 1183-1186 - [c9]Eleonora Cappelli, Emanuel Weitschek:
Extending the Genomic Data Model and the Genometric Query Language with Domain Taxonomies. ICWE 2017: 567-574 - [p1]Giulia Fiscon, Emanuel Weitschek:
String-Matching and Alignment Algorithms for Finding Motifs in NGS Data. Algorithms for Next-Generation Sequencing Data 2017: 235-264 - 2016
- [j8]Giulia Fiscon, Emanuel Weitschek, Eleonora Cella, Alessandra Lo Presti, Marta Giovanetti, Muhammed Babakir-Mina, Marco Ciotti, Massimo Ciccozzi, Alessandra Pierangeli, Paola Bertolazzi, Giovanni Felici:
MISSEL: a method to identify a large number of small species-specific genomic subsequences and its application to viruses classification. BioData Min. 9: 38:1-38:24 (2016) - [j7]Valerio Cestarelli, Giulia Fiscon, Giovanni Felici, Paola Bertolazzi, Emanuel Weitschek:
CAMUR: Knowledge extraction from RNA-seq cancer data through equivalent classification rules. Bioinform. 32(5): 697-704 (2016) - [j6]Katie Wilkins, Mehedi Hassan, Margherita Francescatto, Jakob B. Jespersen, R. Gonzalo Parra, Bart Cuypers, Dan F. DeBlasio, Alexander Junge, Anupama Jigisha, Farzana Rahman, Griet Laenen, Sander Willems, Lieven Thorrez, Yves Moreau, Nagarajan Raju, Sonia P. Chothani, C. Ramakrishnan, Masakazu Sekijima, M. Michael Gromiha, Paddy J. Slator, Nigel J. Burroughs, Przemyslaw Szalaj, Zhonghui Tang, Paul J. Michalski, Oskar Luo, Xingwang Li, Yijun Ruan, Dariusz Plewczynski, Giulia Fiscon, Emanuel Weitschek, Massimo Ciccozzi, Paola Bertolazzi, Giovanni Felici, Pieter Meysman, Manu Vanaerschot, Maya Berg, Hideo Imamura, Jean-Claude Dujardin, Kris Laukens, Westa Domanova, James R. Krycer, Rima Chaudhuri, Pengyi Yang, Fatemeh Vafaee, Daniel J. Fazakerley, Sean J. Humphrey, David E. James, Zdenka Kuncic:
Highlights from the 11th ISCB Student Council Symposium 2015: Dublin, Ireland. 10 July 2015. BMC Bioinform. 17(S-3) (2016) - [j5]Paola Bertolazzi, Giovanni Felici, Paola Festa, Giulia Fiscon, Emanuel Weitschek:
Integer programming models for feature selection: New extensions and a randomized solution algorithm. Eur. J. Oper. Res. 250(2): 389-399 (2016) - [j4]Daniele Santoni, Emanuel Weitschek, Giovanni Felici:
Optimal discretization and selection of features by association rates of joint distributions. RAIRO Oper. Res. 50(2): 437-449 (2016) - [c8]Fabio Cumbo, Emanuel Weitschek, Paola Bertolazzi, Giovanni Felici:
IRIS-TCGA: An Information Retrieval and Integration System for Genomic Data of Cancer. CIBB 2016: 160-171 - [c7]Emanuel Weitschek, Fabio Cumbo, Eleonora Cappelli, Giovanni Felici:
Genomic Data Integration: A Case Study on Next Generation Sequencing of Cancer. DEXA Workshops 2016: 49-53 - 2015
- [j3]Emanuel Weitschek, Fabio Cunial, Giovanni Felici:
LAF: Logic Alignment Free and its application to bacterial genomes classification. BioData Min. 8: 39 (2015) - [c6]Emanuel Weitschek, Giulia Fiscon, Giovanni Felici, Paola Bertolazzi:
GELA: A Software Tool for the Analysis of Gene Expression Data. DEXA Workshops 2015: 31-35 - 2014
- [j2]Emanuel Weitschek, Giulia Fiscon, Giovanni Felici:
Supervised DNA Barcodes species classification: analysis, comparisons and results. BioData Min. 7: 4 (2014) - [c5]Giulia Fiscon, Emanuel Weitschek, Giovanni Felici, Paola Bertolazzi, Simona De Salvo, Placido Bramanti, Maria Cristina De Cola:
Alzheimer's disease patients classification through EEG signals processing. CIDM 2014: 105-112 - [c4]Emanuel Weitschek, Fabio Cunial, Giovanni Felici:
Classifying Bacterial Genomes with Compact Logic Formulas on k-Mer Frequencies. DEXA Workshops 2014: 69-73 - 2013
- [c3]Emanuel Weitschek, Giovanni Felici, Paola Bertolazzi:
Clinical Data Mining: Problems, Pitfalls and Solutions. DEXA Workshops 2013: 90-94 - 2012
- [c2]Emanuel Weitschek, Giovanni Felici, Paola Bertolazzi:
MALA: A Microarray Clustering and Classification Software. DEXA Workshops 2012: 201-205 - [c1]Giovanni Felici, Emanuel Weitschek:
Mining logic models in the presence of noisy data. ISAIM 2012
2000 – 2009
- 2009
- [j1]Paola Bertolazzi, Giovanni Felici, Emanuel Weitschek:
Learning to classify species with barcodes. BMC Bioinform. 10(S-14): 7 (2009)
Coauthor Index
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