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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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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November 01, 2023
Invited talk XAI.it 2023 - 4th Italian Workshop on Explainable Artificial Intelligence | co-located with AIxIA 2023
Rome, Italy — The 4th Italian Workshop on Explainable Artificial Intelligence (AI), co-located with AIxIA 2023, is thrilled to announce the participation of a renowned expert in the field of Artificial Intelligence, G. Stilo, who has been invited as the keynote speaker for this prestigious event.
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October 24, 2023
Tutorial and Lab on Graph Counterfactual Explainability accepted to be held at AAAI 2024
We are delighted to announce that our proposals for both a tutorial and a lab have been accepted for presentation at the Thirty-Eighth AAAI Conference on Artificial Intelligence (AAAI-24), scheduled to take place at the Vancouver Convention Centre in Vancouver, British Columbia, Canada, from February 20 to February 27, 2024.
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October 22, 2023
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September 22, 2023
Paper on Generative XAI accepted in ECML-PKDD'23 @XKDD Workshop
Are Generative approaches suitable for Counterfactual Explainability? Our answer opens up for potential novel research lines in XAI. More details can be found on our paper in this link.
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September 02, 2023
Survey on Graph Counterfactual Explainability Accepted in ACM CSUR
Embarking on a research journey is akin to setting sail on uncharted waters. It’s a path that can be long, challenging, yet incredibly meaningful. Today, I want to share with you the incredible voyage I’ve had the privilege to undertake, delving deep into the realms of Graph Neural Networks (GNNs) and Counterfactual Explanations (CE).
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March 02, 2023
Demo paper on GRETEL Accepted in WSDM'23
Mario is scheduled to attend WSDM’23 in Singapore, where he will be presenting a demo paper showcasing GRETEL, our framework designed for Graph Counterfactual Explainability. Following a prolonged period of lockdowns and travel restrictions, this event marks Mario’s much-awaited return to A* conferences.
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August 08, 2020
Serving at KDD 2020 by chairing the Autoencoders Session
KDD is the International Conference yearly dedicated to the innovative research on all aspects of knowledge discovery and data mining, ranging from theoretical foundations to novel models and algorithms for data mining problems in science, business, medicine, and engineering. Prof. G. Stilo is honored to serve the KDD community by chairing the Autoencoders Session. Giovanni Stilo will be on stage with papers authors on the 25th of August at 13:30 Pacific Time. Do not miss it: KDD-2020 Technical Program
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June 12, 2020
AIIM with CLAIRE-AI at Euro DIG 2020
CLAIRE AI - COVID19 Initiative: approach, experiences and recommendations at Euro DIG 2020, the European Dialogue on Internet Governance. Iarla Kilbane-Dawe, Prof. G. Stilo and Emanuela Girardi will present CLAIRE task force on AI and COVID-19 and the main results of our group on Bioninformatics. At 1pm CET on June 12th, live streaming from the Big Stage at The Hague Studio. Registered Video of the Event
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May 20, 2020
CLAIRE - COVID19 Task Force - Bioinformatics Dataset Released
The initiative joins forces from AI, clinical and life-sciences experts working on the analysis of complex and multi-sourced biomedical data integrating clinical evidence on COVID-19 with genomic and proteomic information, as well as molecular data. We are exploring data-driven AI methodologies and bioinformatics approaches covering network data analysis, machine learning, and deep learning for graphs, predictive modelling, and feature selection of Omics data. Prof. G. Stilo and Dr. L. Madeddu et. al. assembled a resource that fuses information from heterogeneous sources and different studies from the literature into a unique network-based representation, facilitating the use of relational and graph-based learning methods. Dataset on Github
CLAIRE - Confederation of Laboratories for Artificial Intelligence Research in Europe
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May 18, 2020
Special Issue on Algorithmic Bias and Fairness in Search and Recommendation
Given the increasing adoption of systems empowered with search and recommendation capabilities, it is crucial to ensure that their decisions do not lead to biased or even discriminatory outcomes. Controlling the effects generated by popularity bias to improve the user’s perceived quality of the results, supporting consumers and providers with fair rankings and recommendations, and providing transparent results are examples of challenges that require attention. This special issue intends to bring together original research methods and applications that put people first, inspect social and ethical impacts, and uplift the public’s trust on search and recommendation technologies. The goal is to favor a community-wide dialogue on new research perspectives in this field. Guest editorial of the IPM special issue
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May 16, 2020
Accepted tutorial at CIKM 2020
We are happy to be informed that our proposal Challenges and Solutions to the Student Dropout Prediction Problem in Online Courses has been accepted in the tutorial track of CIKM 2020. This year there were accepted 11 tutorial out of 20 submissions. 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. Detailed report …
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