Trustworthy Predictive Models For Temporal Event Data (Trusted) + New Project Development Found[...] Bolzano

Trustworthy Predictive Models For Temporal Event Data (Trusted) + New Project Development Found[...]
Bolzano
Trentino Alto Adige, Bolzano

Organisation/Company: Libera Università di Bolzano

Research Field: Computer Science

Researcher Profile: Recognised Researcher (R2), Leading Researcher (R4), First Stage Researcher (R1), Established Researcher (R3)

Country: Italy

Application Deadline: 25 Feb 2025 - 23:59 (UTC)

Type of Contract: To be defined

Job Status: Not Applicable

Is the job funded through the EU Research Framework Programme?

Not funded by a EU programme

Is the Job related to staff position within a Research Infrastructure?

No

Offer DescriptionIntegrative AI is considered one of the most promising approaches to realise future Artificial Intelligence systems able to produce trustworthy predictive models.

It combines the effectiveness of Machine Learning approaches with the transparency of Logic-based systems.

Integrative AI architectures have been investigated for a number of domains (e. g. , in computer vision) but are not deeply investigated in the construction of predictive models for temporal event data.

To achieve this, the applicant will work on two tasks:

Definition of novel integrative AI techniques for the training of predictive models for temporal event data using temporal background knowledge.

This investigation will start from recent work that aims to combine Deterministic Finite Automata (DFAs) with numeric approaches such as generic algorithms or Recurrent Neural Networks. Implementation of the developed technique and assessment of the feasibility of the approach. Eligibility of fellows: country/ies of residence: OTHER

Eligibility of fellows: nationality/ies:

#J-18808-Ljbffr