the
dmip
team
Data Mining, Machine Intelligence & Inductive Programming
PRESENTATION
History
The DMIP team began in 1997, and consolidated as a group in 2000, with the initial goal of extending ILP to other declarative languages. Since then, the group has been acquiring a broader view of the field, exploring different techniques and applications, focussing on the evaluation of machine learning and machine intelligence systems, spanning in many areas of machine learning, data mining and AI.
Research areas
Artificial Intelligence, Machine Learning, Data Mining, Data Science, Intelligence measurement, Predictable AI, XAI, Knowledge Discovery, Multi-paradigm Inductive Programming, ROC analysis, ML Robustness, AI Fairness, cost-sensitive learning and model evaluation for decision support, Agreement Technologies, Agent Intelligence Evaluation, MML induction and Solomonoff prediction, Probabilistic (inductive) programming, Inductive Debugging, Universal Psychometrics, ...
Recent Highlights
Participated in the Red Team of GPT-4
Organised a workshop on Predictable AI on March 8th, 2023 (Paper)
Paper published in Science: Rethink reporting of evaluation results in AI
Upcoming tutorials:
Working on international research projects:
ReCOG-AI: Robust Evaluation of Cognitive Capabilities and Generality in Artificial Intelligence (DARPA)
MT4XAI: Machine Teaching for Explainable AI (Norwegian Research Council)
Paradigms of Artificial General Intelligence and Their Associated Risks (Future of Life Institute)
TEAM
Professor
Executive Research Assistant
Postdoc Researcher
PhD Student
PhD Student
PhD Student
PhD Student
PhD Student
PhD Student
Researcher
Researcher
Collaborator (U. Bergen)
Collaborator (UC3M)
CURRENT VISITING FELLOWS
Jan Arne Telle - Professor (University of Bergen)
Dario Garigliotti - Postdoc Researcher (University of Bergen)
Brigt Havardstun - PhD Student (University of Bergen)
Diogo Nuno Freitas - PhD Student (University of Madeira)
PUBLICATIONS
Check our Google Scholar