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.

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News

  • 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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  • August 20, 2024
    Everything is Ready for DELTA Cutting-Edge Workshop at KDD 2024!
    As anticipation builds for KDD 2024, the data science and machine learning community is buzzing with excitement, and for good reason. One of the standout events at this year’s conference is the KDD Workshop on Discovering Drift Phenomena in Evolving Landscapes (DELTA 2024), set to take place on August 26, 2024, from 2:00 to 6:00 PM in room 120.
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All news…

Events

Workshop on Innovations, Privacy-preservation, and Evaluations Of machine Unlearning Techniques (WIPE-OUT 2025)
Workshop at the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2025), on 15-19 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. …

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SynDAiTE: Synthetic Data for AI Trustworthiness and Evolution
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.

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Unraveling Graph Counterfactual Explainability: from Theoretical Foundations to Technical Mastery
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. …

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Machine Unlearning: Theory, Methods, and Evaluations with Hands-On Insights (ESSAI 2025)
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.

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All events…

Involved People

Faculty

Prof. Giovanni Stilo
University of L'Aquila
Prof. Carlotta Domeniconi
George Mason University

Researchers

Dr. Bardh Prenkaj
Technical University of Munich
Dr. Matteo Spezialetti
University of L'Aquila

Structured

Dr. Alessandro Celi
Dr. Alessandro Celi
University of L'Aquila

Graduate

Francesca Ciccarelli F
Francesca Ciccarelli
University of L'Aquila
Daniele Fossemò D
Daniele Fossemò
University of L'Aquila
Giuseppe Costanzo G
Giuseppe Costanzo
University of L'Aquila
Andrea D'Angelo
University of L'Aquila

Alumni

Mario A. Prado-Romero
Ph.D. 2025 at GSSI
Hamed Sarvari
Hamed Sarvari
Ph.D. 2022 at GMU
Dr. Lorenzo Madeddu
Ph.D., 2022 Now at AstraZeneca.
Dr.s Giorgia Di Tommaso
Ph.D., 2019 Now at Enel Group.
Prof. Jose Camacho Collados
Ph.D., 2018 Now at Cardiff University.

All people…