output
20212026
most citedPromoting Fairness through Hyperparameter Optimization

23 citations

5 papers

cs.HC2026★ 2 cited

Beyond Technological Solutionism: Rethinking XR in Healthcare

Md Haseen Akhtar, Cecilia Landa-Avila, Shital Desai +5

The healthcare industry's enthusiastic adoption of Extended Reality (XR) technologies obscures a concerning reality: we were building increasingly sophisticated ways to perpetuate…

cs.HC2026

OrganicHAR: Towards Activity Discovery in Organic Settings for Privacy Preserving Sensors Using Efficient Video Analysis

Prasoon Patidar, Riku Arakawa, Ricardo Graça +9

Deploying human activity recognition (HAR) at home is still rare because sensor signals vary wildly across houses, people, and time, essentially requiring in-situ data collection a…

cs.LG2024★ 6 cited

RHiOTS: A Framework for Evaluating Hierarchical Time Series Forecasting Algorithms

Luis Roque, Carlos Soares, Luís Torgo

We introduce the Robustness of Hierarchically Organized Time Series (RHiOTS) framework, designed to assess the robustness of hierarchical time series forecasting models and algorit…

cs.LG2024★ 1 cited

Kernel Corrector LSTM

Rodrigo Tuna, Yassine Baghoussi, Carlos Soares +1

Forecasting methods are affected by data quality issues in two ways: 1. they are hard to predict, and 2. they may affect the model negatively when it is updated with new data. The…

cs.LG2021★ 23 cited

Promoting Fairness through Hyperparameter Optimization

André F. Cruz, Pedro Saleiro, Catarina Belém +2

Considerable research effort has been guided towards algorithmic fairness but real-world adoption of bias reduction techniques is still scarce. Existing methods are either metric-…