Corso di dottorato in "Computer and Data Science"

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Call for admission to PhD Programmes – 41° cycle – A.Y. 2025/2026

Publication date: May 30th, 2025.

For more information visit the official page of the Doctoral Research Programmes of UNIMORE.

ANDREA MARONGIU 30 Maggio 202530 Maggio 2025 Senza categoria Leggi tutto

PhD Teaching – Scalable Data Science – Explanable AI – 12 – 15 May, 2025

Prof. Paolo Missier – University of Birmingham, UK Part I of this seminar series runs over 10 hours and is focused on Explainable AI (XAI), covering the following topics: –  The need for explanations in Machine Learning and AI –

ANDREA MARONGIU 7 Maggio 20257 Maggio 2025 Senza categoria Leggi tutto

Seminar Series – History, Science, Language(s): Back to the Future

March 7 – May 12, 2025 The series consists of seven meetings. The speakers will present their ongoing research on topics related to the analysis of language variation and change, and on the contribution that automatic data analysis is able

ANDREA MARONGIU 3 Marzo 202522 Aprile 2025 Senza categoria Leggi tutto

International Summer School – ADVANCES IN ARTIFICIAL INTELLIGENCE

International Summer School on

ADVANCES IN ARTIFICIAL INTELLIGENCE

September 23-27, 2024

Villa del Grumello (Como, ITALY)

ANDREA MARONGIU 13 Settembre 202413 Settembre 2024 Senza categoria Leggi tutto

Summer School on Artificial Intelligence for a Secure Society

Summer School on Artificial Intelligence for a Secure Society

05 September 2024 – 10 September 2024

Capo Vaticano Resort Thalasso Spa

Capo Vaticano, Calabria (Italy)

ANDREA MARONGIU 8 Luglio 20248 Luglio 2024 Senza categoria Leggi tutto

PhD program 40th cycle – The call for application is now available

The call is available at this link.

ANDREA MARONGIU 27 Giugno 202427 Giugno 2024 Senza categoria Leggi tutto

PhD Teaching: “Can FPGA boost my research? Harnessing programmable logic to accelerate advanced applications in the era of artificial intelligencePhD”

PhD Teaching: “Can FPGA boost my research? Harnessing programmable logic to accelerate advanced applications in the era of artificial intelligencePhD”

Dr. Giacomo Valente, PhD – Università degli Studi dell’Aquila

4, 5, 6 June 2024. Math building, Dept. of Physics, Informatics and Mathematics, via Campi 213/b.

ANDREA MARONGIU 23 Maggio 202423 Maggio 2024 Senza categoria Leggi tutto

PhD teachings: June 7, 2024. Donatella Firmani and Francesco Leotta – Sapienza University of Rome

Semantic Approaches for Entity Resolution (9:00 am – 1:00 pm);

Towards Adaptive Context-aware Intelligent Environments (2:00 pm – 6:00 pm)

ANDREA MARONGIU 23 Maggio 202423 Maggio 2024 Senza categoria Leggi tutto

Upcoming PhD teachings in May 2024

Details for four new PhD teachings are available on the TEACHING page.

ANDREA MARONGIU 26 Aprile 202426 Aprile 2024 Senza categoria Leggi tutto

PhD teaching: Scalable Data Processing for Data Science – Prof. Paolo Missier (University of Birmingham, UK)

The course will take place on April 3rd, 8th, 9th, 10th 2024, at the Department of Physics, Informatics and Mathematics.

ANDREA MARONGIU 27 Marzo 202427 Marzo 2024 Senza categoria Leggi tutto
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RECENT NEWS

  • Call for admission to PhD Programmes – 41° cycle – A.Y. 2025/2026

    Publication date: May 30th, 2025. For more information visit the official page of the Doctoral Research Programmes of UNIMORE.

  • PhD Teaching – Scalable Data Science – Explanable AI – 12 – 15 May, 2025

    Prof. Paolo Missier – University of Birmingham, UK Part I of this seminar series runs over 10 hours and is focused on Explainable AI (XAI), covering the following topics: –  The need for explanations in Machine Learning and AI – Classical global and local methods : LIME and Shapley (Shap values) – Influence functions: a robust statistical approach that has recently (circqa 2017) been revisited to associate a relative importance to training examples for explaining a specific model inference. One key advantage of using influence analysis over other methods, is its ability to bypass the “black box” barrier that is typical of complex nonlinear models (eg deep neural networks). The programme includes: – About 4 hours of seminar-style lectures, using key papers and a recent survey to dive into specific approaches to using influence functions – Guided study to relevant literature, where students are required to select recent work from a portfolio of recommended papers, and to present their insights to the class – Practical work using python libraries that implement influence-based methods to provide explanations, in combination with simple ML models. Class schedule (All classes will take place in the Math building of the FIM Department, via Campi 213/B Modena) Mon 12/5 h.12:00-14:00 – classroom M2.3 Tue 13/5 h.11:00-13:00 – 14:00-16:00 – sala Riunioni piano uffici Thu 15/5 h. 11:00-13:00 – 14:00-16:00 – sala Riunioni piano uffici The flyer for the event is available at this link.

  • Seminar Series – History, Science, Language(s): Back to the Future

    March 7 – May 12, 2025 The series consists of seven meetings. The speakers will present their ongoing research on topics related to the analysis of language variation and change, and on the contribution that automatic data analysis is able to provide to the study of the processes and structures which define human language and explain its diversity.A unifying theme will be the interaction, in terms of methods and results, between historical and formal linguistics and the automatic tools for data analyses made available by computer sciences, with the aim to define novel research lines and envisage effective interdisciplinary collaboration.Each meeting will explore these topics from a different angle: the investigation of ancient texts of a composite nature (Homeric texts) through the implementation of automatic analysis techniques (C. Bozzone); the neurobiological coding of the linguistic capacity and its structures (A. Moro); ‘microscopic’ variation and language contact (A. De Angelis); the reconstruction of the human past through the investigation of syntactic change and the automatic analysis of comparative materials (G. Longobardi); the universal coding of syntactic properties with their synchronic and diachronic variation (P. Crisma). For more information see the attached flyer, or contact the organizer, Prof. Cristina Guardiano.

  • International Summer School – ADVANCES IN ARTIFICIAL INTELLIGENCE

    International Summer School on ADVANCES IN ARTIFICIAL INTELLIGENCE September 23-27, 2024 Villa del Grumello (Como, ITALY)

  • Summer School on Artificial Intelligence for a Secure Society

    Summer School on Artificial Intelligence for a Secure Society 05 September 2024 – 10 September 2024 Capo Vaticano Resort Thalasso Spa Capo Vaticano, Calabria (Italy)

  • PhD program 40th cycle – The call for application is now available

    The call is available at this link.

  • PhD Teaching: “Can FPGA boost my research? Harnessing programmable logic to accelerate advanced applications in the era of artificial intelligencePhD”

    Dr. Giacomo Valente, PhD – Università degli Studi dell’Aquila 4, 5, 6 June 2024. Math building, Dept. of Physics, Informatics and Mathematics, via Campi 213/b.

  • PhD teachings: June 7, 2024. Donatella Firmani and Francesco Leotta – Sapienza University of Rome

    Semantic Approaches for Entity Resolution (9:00 am – 1:00 pm); Towards Adaptive Context-aware Intelligent Environments (2:00 pm – 6:00 pm)

  • Upcoming PhD teachings in May 2024

    Details for four new PhD teachings are available on the TEACHING page.

  • PhD teaching: Scalable Data Processing for Data Science – Prof. Paolo Missier (University of Birmingham, UK)

    The course will take place on April 3rd, 8th, 9th, 10th 2024, at the Department of Physics, Informatics and Mathematics.

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