Enhancing XGBoost with Heuristic Smoothing for Transportation Mode and Activity Recognition

Type
Publication
Adjunct Proceedings of the 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing & the 2023 ACM International Symposium on Wearable Computing, Cancun, Quintana Roo, Mexico, October 8-12, 2023
publications
Lidia Alecci
Authors
PhD Student
Lidia Alecci is a PhD student at the Faculty of Informatics, Università della Svizzera italiana (USI). Her research uses wearable devices for sleep monitoring, personal health, and much more.
Leonardo Alchieri
Authors
PhD Student
Leonardo Alchieri is a PhD student at the Faculty of Informatics, Università della Svizzera italiana (USI), supervised by Prof. Silvia Santini. His research pursues machine learning for affective, wearable, and ubiquitous computing, with a focus on personal health.
Nouran Abdalazim
Authors
PhD Student
Nouran Abdalazim is a PhD student at the Faculty of Informatics, Università della Svizzera italiana (USI). She works on affective and wearable computing, focusing on personal health and productivity in both the workplace and personal life.
Authors
Former Member
Silvia Santini
Authors
Professor
Silvia Santini is an Associate Professor at the Faculty of Informatics of USI since September 2016, where she co-leads the People-Centered Computing Lab together with Prof. Marc Langheinrich. From July 2014 until August 2016 she held an Associate Professor position at TU Dresden, where she led the Embedded Systems Lab. From October 2011 until July 2014 she was an Assistant Professor at the Department of Electrical Engineering and Information Technology of TU Darmstadt, Germany, where she led the Wireless Sensor Networks Lab. From 2009 until 2011 she was a postdoctoral researcher in Prof. Friedemann Mattern’s Distributed Systems Group at ETH Zurich, and from November 2010 until February 2011 she joined Leonidas Guibas’s research group at Stanford University as a visiting scholar. Silvia completed her PhD under the supervision of Prof. Friedemann Mattern at ETH Zurich in 2009, and graduated in Telecommunication Engineering (with honors) from the Sapienza University of Rome, Italy, in May 2004.
Martin Gjoreski
Authors
Postdoc

Martin Gjoreski is an Ambizione Fellow supported by the Swiss National Science Foundation (SNSF) and a Scientific Collaborator at the People-Centered Computing Lab, within the Faculty of Informatics at Università della Svizzera italiana (USI). His primary research areas are artificial intelligence — specifically machine learning, federated learning, and explainable AI (XAI) — applied to wearable computing, affective computing, and digital healthcare.

Education & recognition

Martin earned his PhD in Computer Science from the Jožef Stefan Institute in Slovenia under the supervision of Profs. Matjaž Gams and Mitja Luštrek. His doctoral thesis received the Jožef Stefan golden emblem, awarded to outstanding PhD theses in Slovenia. In 2021 he was included in the list of the top 2% scientists in the world for single-year impact.

Professional service

  • Associate Editor, ACM IMWUT (Interactive, Mobile, Wearable and Ubiquitous Technologies)
  • Board Member, Global SNSF Fellows Network