Alfonso E. Romero

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Luis M. de CamposProfessor of Computer Science and Artificial Intelligence, Universidad de Granada, SpainVerified email at decsai.ugr.es
Alberto PaccanaroProfessor at Royal Holloway, University of LondonVerified email at cs.rhul.ac.uk
Juan Manuel Fernández LunaUniversity of GranadaVerified email at decsai.ugr.es
Juan HueteUniversity GranadaVerified email at decsai.ugr.es
Giorgio ValentiniComputer Science Dept. - University of MilanVerified email at di.unimi.it
Horacio CanizaUniversidad Paraguayo AlemanaVerified email at hcaniza.com
Kostas StathisRoyal Holloway, University of LondonVerified email at rhul.ac.uk
Özgür KafalıLecturer in School of Computing, University of KentVerified email at kent.ac.uk
Haixuan YangUniversity of GalwayVerified email at cs.rhul.ac.uk
Darriba Bilbao Víctor Manuel Associate Professor of Computer Science, Vigo UniversityVerified email at uvigo.es
Emilio FerraraProfessor of Computer Science at the University of Southern CaliforniaVerified email at usc.edu
Matteo ReDipartimento di Informatica, Università degli studi di MilanoVerified email at di.unimi.it
Mitja LuštrekArtificial intelligence researcher, Jožef Stefan InstituteVerified email at ijs.si
Božidara CvetkovićPostdoctoral research associate at Jožef Stefan InstituteVerified email at ijs.si
Marco MesitiAssociate Professor, Università di milanoVerified email at di.unimi.it
Marco FrascaUniversity of MilanVerified email at di.unimi.it
Michael J MeyerSenior Staff Scientist, Quantum-SiVerified email at cornell.edu
Jishnu DasAssistant Professor, University of Pittsburgh School of MedicineVerified email at pitt.edu
David N. CooperProfessor of Human Molecular Genetics, Cardiff University, UKVerified email at cardiff.ac.uk
Juan Felipe Beltrán LacoutureAssociate Director of AI/ML, BullFrogAIVerified email at cornell.edu

Alfonso E. Romero

Other namesAlfonso Eduardo Romero López

Experian EMAP

Verified email at cs.rhul.ac.uk - Homepage

Bioinformatics Computational Biology Machine Learning Bayesian networks


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A large-scale evaluation of computational protein function prediction P Radivojac, WT Clark, TR Oron, AM Schnoes, T Wittkop, A Sokolov, ... Nature Methods 10 (3), 221-227, 2013	1126	2013
An expanded evaluation of protein function prediction methods shows an improvement in accuracy Y Jiang, TR Oron, WT Clark, AR Bankapur, D D'Andrea, R Lepore, ... Genome Biology 17 (184), 2016	444	2016
The CAFA challenge reports improved protein function prediction and new functional annotations for hundreds of genes through experimental screens N Zhou, Y Jiang, TR Bergquist, AJ Lee, BZ Kacsoh, AW Crocker, ... Genome biology 20, 1-23, 2019	428	2019
mutation3D: cancer gene prediction through atomic clustering of coding variants in the structural proteome MJ Meyer, R Lapcevic, AE Romero, M Yoon, J Das, JF Beltrán, M Mort, ... Human mutation 37 (5), 447-56, 2016	121	2016
Exploring the evolutionary path of plant MAPK networks R Dóczi, L Ökrész, AE Romero, A Paccanaro, L Bögre Trends in Plant Science 17 (9), 518-525, 2012	101	2012
Scientific impact evaluation and the effect of self‐citations: Mitigating the bias by discounting the h‐index E Ferrara, AE Romero Journal of the American Society for Information Science and Technology 64 …, 2013	76	2013
GOssTo: a stand-alone application and a web tool for calculating semantic similarities on the Gene Ontology H Caniza, AE Romero, S Heron, H Yang, A Devoto, M Frasca, M Mesiti, ... Bioinformatics 30 (15), 2235-2236, 2014	73	2014
An extensive analysis of disease-gene associations using network integration and fast kernel-based gene prioritization methods G Valentini, A Paccanaro, H Caniza, AE Romero, M Re Artificial Intelligence in Medicine 61 (2), 63-78, 2014	71	2014
Bayesian network models for hierarchical text classification from a thesaurus LM de Campos, AE Romero International journal of approximate reasoning 50 (7), 932-944, 2009	63	2009
Activity Recognition for Diabetic Patients Using a Smartphone B Cvetković, V Janko, AE Romero, Ö Kafalı, K Stathis, M Luštrek Journal of Medical Systems 40 (256), 2016	44	2016
Recognising lifestyle activities of diabetic patients with a smartphone M Luštrek, B Cvetkovic, V Mirchevska, Ö Kafalı, AE Romero, K Stathis Pervasive Health 2015 : Workshop on Personal Health Systems for Chronic …, 2015	31	2015
A network medicine approach to quantify distance between hereditary disease modules on the interactome. H Caniza, AE Romero, A Paccanaro Scientific reports 5, 17658-17658, 2015	30	2015
Protein function prediction for newly sequenced organisms M Torres, H Yang, AE Romero, A Paccanaro Nature Machine Intelligence 3 (12), 1050-1060, 2021	29	2021
Garnata: An information retrieval system for structured documents based on probabilistic graphical models LM de Campos, JM Fernández-Luna, JF Huete, AE Romero Proceedings of the Eleventh International Conference of Information …, 2006	23	2006
Agent‐oriented activity recognition in the event calculus: An application for diabetic patients Ö Kafalı, AE Romero, K Stathis Computational Intelligence 33 (4), 899–925, 2017	17	2017
Neurogenomic signatures of successes and failures in life-history transitions in a key insect pollinator F Manfredini, AE Romero, I Pedroso, A Paccanaro, S Sumner, MJF Brown Genome Biology and Evolution, 2017	16	2017
Automatic Indexing from a Thesaurus Using Bayesian Networks: Application to the Classification of Parliamentary Initiatives LM Campos, JM Fernandez-Luna, JF Huete, AE Romero Lecture Notes in Computer Science, 865-877, 2007	16	2007
Two Hierarchical Text Categorization Approaches for BioASQ Semantic Indexing Challenge. FJ Ribadas-Pena, LM de Campos Ibañez, VMD Bilbao, AE Romero BioASQ@ CLEF, 2013	15*	2013
Probabilistic Methods for Link-Based Classification at INEX 2008 L de Campos, J Fernández-Luna, J Huete, A Romero Advances in Focused Retrieval, 453-459, 2009	15	2009
How distant is the ideal filter of being a causal one? JM Almira, AE Romero arXiv preprint arXiv:1502.07650, 2015	14	2015

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