Modelling innovation performance of European regions using multi-output neural networks von Hajek, Petr, Henriques, Roberto

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A stacking-based artificial intelligence framework for an effective detection and localization of colon polyps von Albuquerque, Carina, Henriques, Roberto, Castelli, Mauro

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Educational Data Mining to Predict Bachelors Students’ Success von Jacob, David, Henriques, Roberto

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Machine learning prediction of mortality in acute myocardial infarction von Oliveira, Mariana, Seringa, Joana, Pinto, Fausto J., Henriques, Roberto, Magalhães, Teresa

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Correction: Modelling innovation performance of European regions using multi-output neural networks von Hajek, Petr, Henriques, Roberto

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Object detection for automatic cancer cell counting in zebrafish xenografts von Albuquerque, Carina, Vanneschi, Leonardo, Henriques, Roberto, Castelli, Mauro, Póvoa, Vanda, Fior, Rita, Papanikolaou, Nickolas

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A computational literature review of football performance analysis through probabilistic topic modeling von Principe, Vitor Ayres, de Souza Vale, Rodrigo Gomes, de Castro, Juliana Brandão Pinto, Carvano, Luiz Marcelo, Henriques, Roberto André Pereira, de Almeida e Sousa Lobo, Victor José, de Alkmim Moreira Nunes, Rodolfo

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Accurate, timely, and portable: Course-agnostic early prediction of student performance from LMS logs von Santos, Ricardo Miguel, Henriques, Roberto

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Deep learning-based object detection algorithms in medical imaging: Systematic review von Albuquerque, Carina, Henriques, Roberto, Castelli, Mauro

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Mining corporate annual reports for intelligent detection of financial statement fraud – A comparative study of machine learning methods von Hajek, Petr, Henriques, Roberto

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Exploring Exploratory Data Analysis: An Empirical Test of Run Chart Utility von Barsalou, Matthew, Saraiva, Pedro Manuel, Henriques, Roberto

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The Value of Design Thinking for PhD Students: A Retrospective Longitudinal Study von Victorino, Guilherme, Coelho, Pedro S., Henriques, Roberto

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A Use Case of Patent Classification Using Deep Learning with Transfer Learning von Henriques, Roberto, Ferreira, Adria, Castelli, Mauro

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Learning the Structure of Bayesian Networks: A Quantitative Assessment of the Effect of Different Algorithmic Schemes von Henriques, Roberto, Gonçalves, Ivo, Castelli, Mauro, Beretta, Stefano, Ramazzotti, Daniele

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Predicting Days on Market to Optimize Real Estate Sales Strategy von Vanneschi, Leonardo, Henriques, Roberto, Dobreva, Maria, Castelli, Mauro

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Geospatial Analysis of Extreme Weather Events in Nigeria (1985–2015) Using Self-Organizing Maps von Henriques, Roberto, Mateu, Jorge, Costa, Ana Cristina, Akande, Adeoluwa

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Predicting M&A targets using news sentiment and topic detection von Hajek, Petr, Henriques, Roberto

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Machine Learning applied to student attentiveness detection: Using emotional and non-emotional measures von Elbawab, Mohamed, Henriques, Roberto

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A novel evaluation framework for recommender systems in big data environments von Henriques, Roberto, Pinto, Luís

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Intersecting reinforcement learning and deep factor methods for optimizing locality and globality in forecasting: A review von Sousa, João, Henriques, Roberto

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