Lidia Alecci
Hey there 👋
I'm Lidia Alecci
Ph.D. student at Università della Svizzera Italiana (Lugano, Switzerland)
As a Ph.D. student at USI since October 2021, I specialize in wearable computing and its applications for enhancing human well-being. My research particularly focuses on tackling the challenge of inter-personal variability — differences in physiological and behavioral patterns across individuals — by combining generalized models with personalized approaches.
Latest publications
Enhancing XGBoost with Heuristic Smoothing for Transportation Mode and Activity Recognition

Enhancing XGBoost with Heuristic Smoothing for Transportation Mode and Activity Recognition

Lidia Alecci, Leonardo Alchieri, Nouran Abdalazim, Pietro Barbiero, Silvia Santini, and Martin Gjoreski. 2023. In Adjunct Proceedings of the 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing & the 2023 ACM International Symposium on Wearable Computing (UbiComp/ISWC '23 Adjunct). Association for Computing Machinery, New York, NY, USA, 540‐545. https://doi.org/10.1145/3594739.3610752

Paper Presentation
Prediction of upper limb chorea severity using passive monitoring smartwatch motion sensor data in individuals with Huntington's disease

Prediction of upper limb chorea severity using passive monitoring smartwatch motion sensor data in individuals with Huntington's disease

Lidia Alecci, Jonas Dorn, Florian Lipsmeier, Johannes Rennig, Atieh Bamdadian, Fiona Kinsella, Peter McColgan, Michael Lindemann, Edward J Wild and Cedric Simillion. 2023. CHDI 2023 Poster (Roche).

Paper
On the mismatch between measured and perceived sleep quality

On the mismatch between measured and perceived sleep quality

Lidia Alecci, Nouran Abdalazim, Leonardo Alchieri, Shkurta Gashi, and Silvia Santini. 2022. In Proceedings of the 2022 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp/ISWC '22 Adjunct), September 11-15, 2022, Cambridge, United Kingdom. ACM, New York, NY, USA, 7 pages. https://doi.org/10.1145/3544793.3563412

Paper Presentation
Latest code repositories
Transformer

Transformer

Transformer encoder-decoder model to solve mathematical problems.
Convolutional neural networ

Convolutional neural networ

Convolutional neural network for image classification (CIFAR-10).
LSTM

LSTM

LSTM language model for predicting fables using PyTorch.
Spreading Tweet News Project

Spreading Tweet News Project

Spreading tweet news simulation, case study of Giuseppe Conte followers network.