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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March 22, 2024
Accepted Workshop at KDD 2024
We are happy to be informed that our proposal on Discovering Drift Phenomena in Evolving Landscape (DELTA 2024) has been accepted as workshop at KDD 2024. The selection process was very competitive as the average quality of the proposals was very high, and the amount of slots available for tutorials is limited. Workshop website …
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March 19, 2024
Professor Giovanni Stilo one of the Top 500 Most Influential Italians in Artificial Intelligence (AI)
We are delighted to announce that Professor Giovanni Stilo, renowned expert in the fields of Machine Learning and Data Mining, has been recognized as one of the Top 500 Most Influential Italians in Artificial Intelligence (AI)!
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November 15, 2023
Invited talk AI-GAP 2023 - Algorithmic Biases in Artificial Intelligence from Interdisciplinary Perspectives
L’Aquila, Italy — AI-GAP 2023 - Algorithmic Biases in Artificial Intelligence from Interdisciplinary Perspectives, is thrilled to announce the participation of a renowned expert in the field of Algorithmic Bias and Fairness, G. Stilo, who has been invited as speaker for this prestigious event.
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Events
Workshop at ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2024), August 26, 2024 - 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. …
Tutorial at the Thirty-Eighth AAAI Conference on Artificial Intelligence (AAAI-24) on 20-21, Feb. 2024
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. …
Laboratory at the Thirty-Eighth AAAI Conference on Artificial Intelligence (AAAI-24) on 20-21, Feb. 2024
In this lab, we provide a hands-on experience to help users develop and evaluate novel Graph Counterfactual Explanation (GCE) methods using a simple and modular framework, GRETEL. …
Invited talk XAI.it 2023 - 4th Italian Workshop on Explainable Artificial Intelligence | co-located with AIxIA 2023 on 8, Nov. 2023
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. …
Workshop at the 45th European Conference on Information Retrieval (ECIR 2023) on April 2, 2023
Creating efficient and effective search and recommendation algorithms has been the main objective of industry practitioners …
Demo at WSDM 2023: The 16th ACM International Conference on Web Search and Data Mining on Mar. 2, 2023
This demo discusses the challenges of interpreting Graph Neural Networks (GNNs) in social networks and introduces Graph Counterfactual Explanation (GCE) methods as a solution …
Involved People
Less Bright Minds
Prof. Carlotta Domeniconi
Prof. Giovanni Stilo
Bright Minds
Dr. Bardh Prenkaj
Structured Minds
Dr. Alessandro Celi
Graduate Minds
Mario A. Prado-Romero
Past Graduate Minds
Hamed Sarvari
Dr. Lorenzo Madeddu
Dr.s Giorgia Di Tommaso
