| 2023 | IDEAL | Plant Disease Detection and Classification Using a Deep Learning-Based Framework. | Mridul Ghosh, Asifuzzaman Lasker, Poushali Banerjee, Anindita Manna, Sk Md Obaidullah, Teresa Gonalves, Kaushik Roy |
| 2022 | IBPRIA | Abbreviating Labelling Cost for Sentinel-2 Image Scene Classification Through Active Learning. | Kashyap Raiyani, Teresa Gonalves, Lus Rato |
| 2022 | IDEAL | Ensemble Stack Architecture for Lungs Segmentation from X-ray Images. | Asifuzzaman Lasker, Mridul Ghosh, Sk Md Obaidullah, Chandan Chakraborty, Teresa Gonalves, Kaushik Roy |
| 2021 | EPIA | Aiding Clinical Triage with Text Classification. | Rute Veladas, Hua Yang, Paulo Quaresma, Teresa Gonalves, Renata Vieira, Ctia Sousa Pinto, Joo Pedro Martins, Joo Oliveira, Maria Cortes Ferreira |
| 2021 | IDEAL | An Empirical Study of the Impact of Field Features in Learning-to-rank Method. | Hua Yang, Teresa Gonalves |
| 2019 | ECIR | Automated Event Extraction Model for Linked Portuguese Documents. | Kashyap Raiyani, Teresa Gonalves, Paulo Quaresma, Vtor Beires Nogueira |
| 2019 | ICAIL | Using Clustering Techniques to Identify Arguments in Legal Documents. | Prakash Poudyal, Teresa Gonalves, Paulo Quaresma |
| 2018 | COLING | Fully Connected Neural Network with Advance Preprocessor to Identify Aggression over Facebook and Twitter. | Kashyap Raiyani, Teresa Gonalves, Paulo Quaresma, Vtor Beires Nogueira |
| 2018 | IDEAL | Handwritten Character Recognition Using Active Semi-supervised Learning. | Papangkorn Inkeaw, Jakramate Bootkrajang, Teresa Gonalves, Jeerayut Chaijaruwanich |
| 2018 | LREC | A Multi- versus a Single-classifier Approach for the Identification of Modality in the Portuguese Language. | Joo Sequeira, Teresa Gonalves, Paulo Quaresma, Amlia Mendes, Iris Hendrickx |
| 2017 | ECIR | Promoting Understandability in Consumer Health Information Search. | Hua Yang, Teresa Gonalves |
| 2016 | CICLING | Using Syntactic and Semantic Features for Classifying Modal Values in the Portuguese Language. | Joo Sequeira, Teresa Gonalves, Paulo Quaresma, Amlia Mendes, Iris Hendrickx |
| 2015 | EPIA | How Does Irony Affect Sentiment Analysis Tools? | Leila Weitzel, Raul A. Freire, Paulo Quaresma, Teresa Gonalves, Ronaldo C. Prati |
| 2013 | PACLIC | Classifying Questions in Question Answering System Using Finite State Machines with a Simple Learning Approach. | Mohammad Moinul Hoque, Teresa Gonalves, Paulo Quaresma |
| 2010 | LREC | Using Linguistic Information and Machine Learning Techniques to Identify Entities from Juridical Documents. | Paulo Quaresma, Teresa Gonalves |
| 2008 | ICMLA | Text Classification Using Tree Kernels and Linguistic Information. | Teresa Gonalves, Paulo Quaresma |
| 2006 | CICLING | Analysing Part-of-Speech for Portuguese Text Classification. | Teresa Gonalves, Cassiana Fagundes da Silva, Paulo Quaresma, Renata Vieira |
| 2005 | ICAIL | Is linguistic information relevant for the text legal classification problem? | Teresa Gonalves, Paulo Quaresma |
| 2004 | NLDB | Using IR Techniques to Improve Automated Text Classification. | Teresa Gonalves, Paulo Quaresma |
| 2003 | EPIA | A Preliminary Approach to the Multilabel Classification Problem of Portuguese Juridical Documents. | Teresa Gonalves, Paulo Quaresma |
| 1998 | AI | An Attribute Redundancy Measure for Clustering. | Teresa Gonalves, Fernando Moura-Pires |
| 1997 | EDOC | Organization, Information System and Distribution Modeling: An Integrated Approach. | Antnio Rito Silva, Teresa Gonalves, Francisco Assis Rosa, Arne-Jrgen Berre, Jan yvind Aagedal |