The Artificial Intelligence & Information Mining (aiim - pronunced as i'm /aɪm/, and aim /eɪm/) is a collective of Individuals (/aɪm/) who share a common Interest (/eɪm/) in
Artificial Intelligence, Data Mining, and Machine Learning.
News
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October 15, 2025
A New Step Toward Teaching Machines to Forget - Forget-Set Identification (ForSId) - Journal Of Machine Learning
A new research paper titled “The Forget-Set Identification Problem” has just been published in Machine Learning (Springer) by Andrea D’Angelo, Francesco Gullo, and Giovanni Stilo.
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March 23, 2025
Accepted Workshop at ECML-PKDD 2025
We are happy to be informed that our proposal on Workshop on Innovations, Privacy-preservation, and Evaluations Of machine Unlearning Techniques (WIPE-OUT 2025) has been accepted as workshop at ECMl-PKDD 2025. The selection process was very competitive as the average quality of the proposals was very high, and the amount of slots available for workshops was limited. Workshop website …
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March 22, 2025
Tutorial on Graph Counterfactual Explainability accepted to be held at ECML-PKDD 2025
We are delighted to announce that our proposals for a tutorial has been accepted for presentation at the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2025), scheduled to take place in Porto, Portugal from 15 to 19 September 2025.
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March 22, 2025
Accepted Workshop at ECML-PKDD 2025
We are happy to be informed that our proposal on SynDAiTE: Synthetic Data for AI Trustworthiness and Evolution has been accepted as workshop at ECMl-PKDD 2025. The selection process was very competitive as the average quality of the proposals was very high, and the amount of slots available for workshops was limited. Workshop website …
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Events
Co-located with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2025), on 15th September 2025 (Porto, Portugal)"
As AI adoption soars, so do concerns over data privacy, ethics, and regulatory compliance. Machine Unlearning (MU) enables the selective removal of learned information without costly retraining—mitigating biases, protecting sensitive data, and aligning AI with ethical standards. …
Workshop at the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2025), September 15, 2025 - Porto, Portugal
Synthetic data is emerging as the key to AI’s future - scalable, customizable, and privacy-friendly fuel for innovation in a world running low on real data.
Tutorial at the the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2025)
Graph Neural Networks (GNNs) have proven highly effective in graph-related tasks, including Traffic Modeling, Learning Physical Simulations, Protein Modeling, and Large-scale Recommender Systems. …
Course on Machine Unlearning at 3rd European Summer School on Artificial Intelligence (ESAI-25) on 30 June - 4 July, 2025
This PhD course explores Machine Unlearning, covering its theoretical foundations, state-of-the-art techniques, evaluation metrics, and practical hands-on benchmarking to efficiently “forget” specific training data without full model retraining.
Workshop at ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2024), 14:00, August 26, 2024
Centre de Convencions Internacional de Barcelona (room #120) - Barcelona, Catalonia (Spain)
In today’s rapidly evolving landscape, integrating automated systems into various aspects of daily tasks is a primary objective for both industry and academia. …
Involved People
Faculty
Prof. Giovanni Stilo
Prof. Carlotta Domeniconi
Researchers
Dr. Bardh Prenkaj
Dr. Matteo Spezialetti
Structured
Dr. Alessandro Celi
Graduate
Francesca Ciccarelli
Daniele Fossemò
Giuseppe Costanzo
Andrea D'Angelo
Alumni
Mario A. Prado-Romero
Hamed Sarvari
Dr. Lorenzo Madeddu
Dr.s Giorgia Di Tommaso
