Alina Trifan

According to our database, Alina Trifan authored at least 34 papers between 2012 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Knowledge Maps as Support Tool for Managing Scientific Competences: A Case Study at a Portuguese Research Institute.

João Génio, Alina Trifan, António J. R. Neves

Publ., March, 2023

MEMORIA: A Memory Enhancement and MOment RetrIeval Application for LSC 2023.

Ricardo F. Ribeiro, Luísa Amaral, Wei Ye, Alina Trifan, António J. R. Neves, Pedro Iglésias

Proceedings of the 6th Annual ACM Lifelog Search Challenge, 2023

2022

Systematic review of question answering over knowledge bases.

Arnaldo Pereira, Alina Trifan, Rui Pedro Lopes, José Luís Oliveira

IET Softw., 2022

MEMORIA: A Memory Enhancement and MOment RetrIeval Application for LSC 2022.

Ricardo F. Ribeiro, Alina Trifan, António J. R. Neves

Proceedings of the LSC@ICMR 2022: Proceedings of the 5th Annual on Lifelog Search Challenge, Newark, NJ, USA, June 27, 2022

BioInfo@UAVR@SMM4H'22: Classification and Extraction of Adverse Event mentions in Tweets using Transformer Models.

Edgar Morais, José Luís Oliveira, Alina Trifan, Olga Fajarda

Proceedings of The Seventh Workshop on Social Media Mining for Health Applications, 2022

Early risk detection of mental illnesses using various types of textual features.

Rodrigo Ferreira, Alina Trifan, José Luís Oliveira

Proceedings of the Working Notes of CLEF 2022 - Conference and Labs of the Evaluation Forum, Bologna, Italy, September 5th - to, 2022

Automatic Classification of Stigmatizing Articles of Mental Illness: The Case of Portuguese Online Newspapers.

Alina Yanchuk, Alina Trifan, Olga Fajarda, José Luís Oliveira

Proceedings of the New Trends in Database and Information Systems, 2022

2021

Cross-evaluation of social mining for classification of depressed online personas.

Alina Trifan, José Luís Oliveira

J. Integr. Bioinform., 2021

VADER meets BERT: sentiment analysis for early detection of signs of self-harm through social mining.

Lucas Barros, Alina Trifan, José Luís Oliveira

Proceedings of the Working Notes of CLEF 2021 - Conference and Labs of the Evaluation Forum, Bucharest, Romania, September 21st - to, 2021

Bilingual Emotion Analysis on Social Media throughout the COVID19 Pandemic in Portugal.

Alina Trifan, Sérgio Matos, Pedro Morgado, José Luís Oliveira

Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies, 2021

2020

Machine Learning for Depression Screening in Online Communities.

Alina Trifan, Rui Antunes, José Luís Oliveira

Proceedings of the Practical Applications of Computational Biology & Bioinformatics, 2020

Social Media Mining for Postpartum Depression Prediction.

Alina Trifan, Dave Semeraro, Justin A. Drake, Radek Bukowski, José Luís Oliveira

Proceedings of the Digital Personalized Health and Medicine - Proceedings of MIE 2020, Medical Informatics Europe, Geneva, Switzerland, April 28, 2020

Understanding Depression from Psycholinguistic Patterns in Social Media Texts.

Alina Trifan, Rui Antunes, Sérgio Matos, José Luís Oliveira

Proceedings of the Advances in Information Retrieval, 2020

BioInfo@UAVR at eRisk 2020: on the Use of Psycholinguistics Features and Machine Learning for the Classification and Quantification of Mental Diseases.

Alina Trifan, Pedro Salgado, José Luís Oliveira

Proceedings of the Working Notes of CLEF 2020, 2020

UA.PT Bioinformatics at ImageCLEF 2020: Lifelog Moment Retrieval Web based Tool.

Ricardo F. Ribeiro, Júlio Silva, Alina Trifan, José Luís Oliveira, António J. R. Neves

Proceedings of the Working Notes of CLEF 2020, 2020

2019

Patient data discovery platforms as enablers of biomedical and translational research: A systematic review.

Alina Trifan, José Luís Oliveira

J. Biomed. Informatics, 2019

EMIF Catalogue: A collaborative platform for sharing and reusing biomedical data.

José Luís Oliveira, Alina Trifan, Luís A. Bastião Silva

Int. J. Medical Informatics, 2019

Focus Estimation in Academic Environments Using Computer Vision.

Daniel Canedo, Alina Trifan, António J. R. Neves

Proceedings of the Pattern Recognition and Image Analysis - 9th Iberian Conference, 2019

BioInfo@UAVR at eRisk 2019: delving into Social Media Texts for the Early Detection of Mental and Food Disorders.

Alina Trifan, José Luís Oliveira

Proceedings of the Working Notes of CLEF 2019, 2019

Towards a More Reproducible Biomedical Research Environment: Endorsement and Adoption of the FAIR Principles.

Alina Trifan, José Luís Oliveira

Proceedings of the Biomedical Engineering Systems and Technologies, 2019

FAIRness in Biomedical Data Discovery.

Alina Trifan, José Luís Oliveira

Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2019), 2019

2018

MONTRA: An agile architecture for data publishing and discovery.

Luís A. Bastião Silva, Alina Trifan, José Luís Oliveira

Comput. Methods Programs Biomed., 2018

Monitoring Students' Attention in a Classroom Through Computer Vision.

Daniel Canedo, Alina Trifan, António J. R. Neves

Proceedings of the Highlights of Practical Applications of Agents, Multi-Agent Systems, and Complexity: The PAAMS Collection, 2018

A Methodology for Fine-Grained Access Control in Exposing Biomedical Data.

Alina Trifan, Johan van der Lei, Carlos Díaz, José Luís Oliveira

Proceedings of the Building Continents of Knowledge in Oceans of Data: The Future of Co-Created eHealth, 2018

A FAIR Marketplace for Biomedical Data Custodians and Clinical Researchers.

Alina Trifan, José Luís Oliveira

Proceedings of the 31st IEEE International Symposium on Computer-Based Medical Systems, 2018

Exploring the Value of Electronic Health Records from Multiple Datasets.

Olga Fajarda, Alina Trifan, Michel Van Speybroeck, Peter R. Rijnbeek, José Luís Oliveira

Proceedings of the Biomedical Engineering Systems and Technologies, 2018

2016

On the Use of Feature Descriptors on Raw Image Data.

Alina Trifan, António J. R. Neves

Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods, 2016

A Ground Truth Vision System for Robotic Soccer.

António J. R. Neves, Fred Gomes, Paulo Dias, Alina Trifan

Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods, 2016

2015

Time-constrained colored object detection for intelligent robots

Alina Trifan

PhD thesis, 2015

Detection of Aerial Balls in Robotic Soccer Using a Mixture of Color and Depth Information.

António José Ribeiro Neves, Alina Trifan, Paulo Dias, José Luís Azevedo

Proceedings of the 2015 IEEE International Conference on Autonomous Robot Systems and Competitions, 2015

2014

UAVision: A Modular Time-Constrained Vision Library for Soccer Robots.

Alina Trifan, António J. R. Neves, Bernardo Cunha, José Luís Azevedo

Proceedings of the RoboCup 2014: Robot World Cup XVIII [papers from the 18th Annual RoboCup International Symposium, 2014

UAVision: A Modular Time-Constrained Vision Library for Color-Coded Object Detection.

António J. R. Neves, Alina Trifan, Bernardo Cunha

Proceedings of the Computational Modeling of Objects Presented in Images. Fundamentals, Methods, and Applications, 2014

2013

Self-calibration of Colormetric Parameters in Vision Systems for Autonomous Soccer Robots.

António J. R. Neves, Alina Trifan, Bernardo Cunha

Proceedings of the RoboCup 2013: Robot World Cup XVII [papers from the 17th Annual RoboCup International Symposium, 2013

2012

A modular real-time vision system for humanoid robots.

Alina Trifan, António J. R. Neves, Nuno Lau, Bernardo Cunha

Proceedings of the Intelligent Robots and Computer Vision XXIX: Algorithms and Techniques, 2012