2013 B.Sc. in Computer Science by NOVA University of Lisbon.
Temporal Cross-Media Retrieval with Soft-Smoothing
David Semedo, and João Magalhães. ACM Multimedia Conference 2018, Seoul, Korea, Oct. 2018. (To Appear)
Inferring User Gender from User Generated Visual Content on a Deep Semantic Space
David Semedo, Flávio Martins, and João Magalhães. 26th European Signal Processing Conference (EUSIPCO 2018), Rome, Italy, 2018. (To Appear)
NovaSearch at ImageCLEFmed 2016 Subfigure Classification Task
David Semedo, João Magalhães. Working Notes of CLEF 2016 - Conference and Labs of the Evaluation forum, Évora, Portugal, Sep. 2016.
Asynchronous Parallel Ant-Colony Optimization Strategies: Application to the Multi-Depot Vehicle Scheduling Problem with Line Exchanges
David Semedo, Pedro Barahona, Pedro Medeiros. 7th INForum, Covilhã, Portugal, Sep. 2015.
Please find below a list of my most relevant academic activities, grouped by year.
Reviewer for ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2018).
Reviewer for ACM International Conference on Multimedia Retrieval 2018 (ICMR 2018).
Reviewer for International Conference on Theory and Practice of Digital Libraries 2018 (TPDL 2018).
Reviewer for ACM International Conference on Multimedia Retrieval 2017 (ICMR 2017).
Reviewer for IEEE International Conference on Multimedia and Expo 2017 (ICME 2017).
Reviewer for ACM International Conference on Multimedia Retrieval 2016 (ICMR 2016).
Monitor at the LxMLS - 2016 Lisbon Machine Learning Summer School.
Poster Presentation at CLEF 2016 - Conference and Labs of the Evaluation Forum.
2015 Algorithms and Data Structures - Computer Science course.
2014 Algorithms and Data Structures - Electrical and Computer Engineering course.
Projects and Others
2018-Present -Visual Stories: Cross-modal Image and Video Search/Browsing Tool for Social Media Event Data (Ongoing Work) [Link]
2016 -Classical and Neural Language Models Survey [PDF]
Statistical Learning Course final project, lectured by Prof. Mário Figueiredo.