Publications


Journals

 

-> Hayda Almeida, Ludovic Jean‐Louis, Marie‐Jean Meurs
An open source and modular search engine for biomedical literature retrieval“.
Computational Intelligence. 2018; 34:200–218

-> Hayda Almeida, Marie-Jean Meurs, Leila Kosseim, Adrian Tsang
Data Sampling and Supervised Learning for HIV Literature Screening“.
IEEE Transactions on NanoBioscience, Vol. 15 Issue 4. June 2016 doi: 10.1109/TNB.2016.2565481.

-> Kimchi Strasser, Erin McDonnell, Carol Nyaga, Min Wu, Sherry Wu, Hayda Almeida, Marie-Jean Meurs, Leila Kosseim, Justin Powlowski, Greg Butler, Adrian Tsang
mycoCLAP, the Database for Characterized Lignocellulose-Active Proteins of Fungal Origin: Resource and Text Mining Curation Support”.
DATABASE 2015, doi: 10.1093/database/bav008.

-> Hayda Almeida, Marie-Jean Meurs, Leila Kosseim, Greg Butler, Adrian Tsang
Machine Learning for Biomedical Literature Triage”.
PLoS ONE 9 2014, no. 12: e115892.


Conferences

2019

-> Hayda Almeida, Adrian Tsang, Abdoulaye Baniré Diallo
Supporting Supervised Learning in Fungal Biosynthetic Gene Cluster Discovery: New Benchmark Datasets”. Workshop on Machine Learning and Artificial Intelligence in Bioinformatics and Medical Informatics (MABM) at BIBM 2019. San Diego, USA, November 18-21, 2019.

-> Hayda Almeida, Adrian Tsang, Abdoulaye Baniré Diallo
Towards accurate identification of Biosynthetic Gene Clusters in fungi”. Machine Learning in Computational and Systems Biology COSI at ISMB ECCB 2019. Basel, Switzerland, July 21-25 2019.

2018

-> Antoine Briand, Hayda Almeida, Marie-Jean Meurs
Analysis of Social Media Posts for Early Detection of Mental Health Conditions”. 31st Canadian Conference on Artificial Intelligence (CAI). Toronto, Canada, May 8-11 2018.

2017

-> Hayda Almeida, Antoine Briand, Diego Maupomé, Marie-Jean Meurs
Prediction of Depression from User-generated Content in Social Media”. Montreal AI Symposium. Montréal, Canada, September 26th, 2017.

-> Hayda Almeida, Antoine Briand, Marie-Jean Meurs
Detecting Early Risk of Depression from Social Media User-generated Content”. Early Risk Prediction on the Internet (eRisk) workshop at the 8th International Conference of the CLEF Association (CLEF). Dublin, Ireland, September 11-14 2017.

-> Hayda Almeida, Antoine Briand, Marie-Jean Meurs
Predicting Depression from User-generated Content in Social Media”. 1st Widening Natural Language Processing (WiNLP) at ACL 2017. Vancouver, Canada, July 2017.

-> Hayda Almeida, Marc Queudot, , Leila Kosseim, Marie-Jean Meurs
Supervised Methods to Support Online Triage of Scientific Data”. Seventh International Multidisciplinary Conference on e-Technologies (MCETECH). Ottawa, Canada, May 17-19, 2017.

2016

-> Hayda Almeida, Marc Queudot, Marie-Jean Meurs
Automatic Triage of Mental Health Online Forum Posts”. Computational Linguistics and Clinical Psychology Workshop at NAACL HLT 2016. San Diego, CA, USA, June 16, 2016.

-> Hayda Almeida, Ludovic Jean-Louis, Marie-Jean Meurs
Mining Biomedical Literature: An Open Source and Modular Approach”. 29th Canadian Conference on Artificial Intelligence. Victoria, BC, Canada, May 31-June 03, 2016.

-> Marie-Jean Meurs, Hayda Almeida, Ludovic Jean-Louis, Eric Charton
SemLinker, a Modular and Open Source Framework for Named Entity Discovery and Linking“, LREC 2016. Portoroz, Slovenia, May 23-28, 2016.

-> Marie-Jean Meurs, Hayda Almeida, Leila Kosseim, Adrian Tsang
Développement d’une base documentaire sur le VIH : l’intelligence artificielle au service de la recherche biomédicale.”, Congrès de l’ACFAS 2016. Montreal, QC, Canada, May 9-13, 2016.

-> Hayda Almeida, Ludovic Jean-Louis, Marie-Jean Meurs
Retrieving Biomedical Literature – An Open Source Search Engine Based on Open Access Resources”. Biocuration 2016. The Conference of the International Society for Biocuration, Geneva, Switzerland, April 10-14, 2016.

2015

-> Hayda Almeida, Marie-Jean Meurs, Leila Kosseim, Adrian Tsang
Supporting HIV Literature Screening with Data Sampling and Supervised Learning”. IEEE BIBM 2015. IEEE International Conference on Bioinformatics and Biomedicine, Washington, DC, USA, November 9-12, 2015 .

-> Hayda Almeida, Marie-Jean Meurs, Leila Kosseim, Greg Butler, Adrian Tsang
Data Undersampling for Scientific Literature Triage”. HPCS 2015, High Performance Computing Symposium. Montreal, QC, Canada, June 17-19, 2015.

-> Kimchi Strasser, Erin McDonnell, Carol Nyaga, Min Wu, Sherry Wu, Hayda Almeida, Marie-Jean Meurs, Leila Kosseim, Justin Powlowski, Greg Butler, Adrian Tsang
mycoCLAP, the Database for Characterized Lignocellulose-Active Proteins of Fungal Origin“, Biocuration 2015. The Conference of the International Society for Biocuration, Beijing, China, April 23-26, 2015

2014

-> Hayda Almeida, Marie-Jean Meurs, Leila Kosseim, Greg Butler, Adrian Tsang
Biomedical Literature Triage using Supervised Learning”. NIPS 2014 – ML4CHG, 2nd Workshop on Machine Learning for Clinical Data Analysis, Healthcare and Genomics. Montreal, QC, Canada, December 12-13, 2014.

-> Marie-Jean Meurs, Hayda Almeida, Ludovic Jean-Louis, Eric Charton
SemLinker Entity Discovery and Linking System at TAC-KBP2014”. TAC KBP 2014, Text Analysis Conference, National Institute of Standards and Technology (NIST). Gaithersburg, Maryland, USA, November 17-18, 2014.

-> Hayda Almeida, Marie-Jean Meurs, Leila Kosseim, Greg Butler, Adrian Tsang
A Machine Learning Approach for mycoCLAP Triage”. Biocuration 2014, The Conference of the International Society for Biocuration. Toronto, ON, Canada, April 6-9, 2014.


Invited Talks

2015

-> Hayda Almeida, “Supporting HIV Literature Screening with Supervised Learning”.
Seminar at Université du Quebec a Montréal (UQAM) , Montréal, QC.

-> Hayda Almeida, “Biomedical Literature Triage using Supervised Learning”.
Talk at Yellow Pages, Montréal, QC.

-> Hayda Almeida, “Biomedical Literature Triage using Supervised Learning”.
Talk at Recherche appliquée en linguistique informatique (RALI), Université de Montréal, Montréal, QC.


Thesis

-> Hayda Almeida,
A Supervised Learning Approach for Imbalanced Text Classification of Biomedical Literature Triage”.
Concordia University, Master Thesis, 2015.