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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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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July 11, 2024
Invited talks at TU Munich
We are thrilled to announce that we will be visiting the Technical University of Munich (TUM) with my current PhD student, Andrea D’Angelo. During our visit, we will be collaborating with the Responsible Data Science group, under the esteemed leadership of Prof. Gjergji Kasneci.
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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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Events
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. …
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. …
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
University of L'Aquila
Graduate
Francesca Ciccarelli
University of L'Aquila
Daniele Fossemò
University of L'Aquila
Giuseppe Costanzo
University of L'Aquila
Andrea D'Angelo
University of L'Aquila
Mario A. Prado-Romero
Gran Sasso Science Institute
Alumni
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.