Learning and Algorithms for Data Analytics

Research Area Coordinator

The mission of this research area is to develop novel algorithms and machine learning methods to analyse data of different types, modelling socio-technical systems, and supporting innovative applications in science and industry.

  • Algorithms and Learning on Graphs
  • Algorithmic Analysis of Social Dynamics
  • Fair and Explainable AI
  • (Deep) Learning for Text and Images
  • Streaming, Online, Active Learning
  • AI for Industrial Applications
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Ada Lovelace Lab

The ALL laboratory is substantially integrated with the ISI Foundation teams working on mathematical formalization and complex system science and data science applications and the development of innovative algorithms and machine learning.

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Bridging LGBT+ Content Gaps Across Wikipedia Language Editions

M. Miquel-Ribé, A. Kaltenbrunner, J. M. Keefer

The International Journal of Information, Diversity, & Inclusion 5 (4) (2021)

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Uncovering the Limits of Text-based Emotion Detection

N. Alvarez-Gonzalez, A. Kaltenbrunner, V. Gómez

EMNLP 2021 - Conference on Empirical Methods in Natural Language Processing, Punta Cana, Dominican Republic Findings of the Association for Computational Linguistics: EMNLP 2021 (2021)

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