| A preliminary approach to the multilabel classification problem of Portuguese juridical documents T Gonçalves, P Quaresma Portuguese Conference on Artificial Intelligence, 435-444, 2003 | 104 | 2003 |
| Is linguistic information relevant for the classification of legal texts? T Gonçalves, P Quaresma Proceedings of the 10th international conference on Artificial intelligence …, 2005 | 71 | 2005 |
| ECHR: Legal corpus for argument mining P Poudyal, J Šavelka, A Ieven, MF Moens, T Goncalves, P Quaresma Proceedings of the 7th Workshop on Argument Mining, 67-75, 2020 | 68 | 2020 |
| Using linguistic information and machine learning techniques to identify entities from juridical documents P Quaresma, T Gonçalves Semantic Processing of Legal Texts: Where the Language of Law Meets the Law …, 2010 | 56 | 2010 |
| Multilingual author profiling using word embedding averages and svms R Bayot, T Gonçalves 2016 10th International Conference on Software, Knowledge, Information …, 2016 | 55 | 2016 |
| Single diode model parameters analysis of photovoltaic cell MT Ahmed, T Gonçalves, M Tlemcani 2016 IEEE International Conference on Renewable Energy Research and …, 2016 | 54 | 2016 |
| Sentinel-2 image scene classification: A comparison between Sen2Cor and a machine learning approach K Raiyani, T Gonçalves, L Rato, P Salgueiro, JR Marques da Silva Remote Sensing 13 (2), 300, 2021 | 44 | 2021 |
| Fully connected neural network with advance preprocessor to identify aggression over facebook and twitter K Raiyani, T Gonçalves, P Quaresma, V Nogueira TRAC-2018-ACL, 2018 | 44 | 2018 |
| Evaluating preprocessing techniques in a text classification problem T Gonçalves, P Quaresma Proceedings of the Conference of the Brazilian Computer Society, 2005 | 44 | 2005 |
| Feature extraction from MRI ADC images for brain tumor classification using machine learning techniques SM Vijithananda, ML Jayatilake, B Hewavithana, T Gonçalves, LM Rato, ... Biomedical engineering online 21 (1), 52, 2022 | 38 | 2022 |
| MATLAB Simulink modeling of photovoltaic cells for understanding shadow effect MR Rashel, A Albino, M Tlemcani, TCF Gonçalves, J Rifath 2016 IEEE International Conference on Renewable Energy Research and …, 2016 | 37 | 2016 |
| The impact of nlp techniques in the multilabel text classification problem T Gonçalves, P Quaresma Intelligent Information Processing and Web Mining: Proceedings of the …, 2004 | 34 | 2004 |
| Analysing part-of-speech for portuguese text classification T Gonçalves, C Silva, P Quaresma, R Vieira Computational Linguistics and Intelligent Text Processing: 7th International …, 2006 | 25 | 2006 |
| Comparison of different graph distance metrics for semantic text based classification N Das, S Ghosh, T Gonçalves, P Quaresma Polibits 49, 51-57, 2014 | 23 | 2014 |
| Using Clustering Techniques to Identify Arguments in Legal Documents. P Poudyal, T Gonçalves, P Quaresma ASAIL@ ICAIL 2385, 2019 | 22 | 2019 |
| Age and gender classification of tweets using convolutional neural networks RK Bayot, T Gonçalves Machine Learning, Optimization, and Big Data: Third International Conference …, 2018 | 21 | 2018 |
| Age and Gender Identification using Stacking for Classification⋆ Notebook for PAN at CLEF 2016 M Agrawal, T Gonçalves CEUR, 2016 | 19 | 2016 |
| Recognition of similar characters using gradient features of discriminative regions P Inkeaw, J Bootkrajang, S Marukatat, T Gonçalves, J Chaijaruwanich Expert Systems with Applications 134, 120-137, 2019 | 18 | 2019 |
| Sensitivity analysis through error function of crystalline-Si photovoltaic cell model integrated in a smart grid MR Rashel, J Rifat, T Goncalves, M Tlemcani, R Melicio INTERNATIONAL JOURNAL of RENEWABLE ENERGY RESEARCH, 2017 | 15 | 2017 |
| RMID: A novel and efficient image descriptor for mammogram mass classification SM Obaidullah, S Ahmed, T Gonçalves, L Rato Information Technology, Systems Research, and Computational Physics 3, 229-240, 2020 | 14 | 2020 |
Paulo QuaresmaUniversidade de Évorauevora.pt의 이메일 확인됨