E-LIB Suche - Ergebnisse für: Milano, Michela

1

Towards Sustainability-aware Recommender Systems: Analyzing..:

, In: Proceedings of the 17th ACM Conference on Recommender Systems,

Spillo, Giuseppe ; De Filippo, Allegra ; Musto, Cataldo.. - p. 856-862 , 2023

Link: https://dl.acm.org/doi/1..

2

Robotic Choreography Creation Through Symbolic AI Technique:

, In: Entertainment Computing – ICEC 2023; Lecture Notes in Computer Science,

De Filippo, Allegra ; Milano, Michela - p. 346-351 , 2023

Link: https://doi.org/10.1007/..

3

HADA: An automated tool for hardware dimensioning of AI app..:

De Filippo, Allegra ; Borghesi, Andrea ; Boscarino, Andrea.
Knowledge-Based Systems. 251 (2022) - p. 109199 , 2022

Link: https://doi.org/10.1016/..

4

Robust Optimization Models For Local Flexibility Characteri..:

, In: AIxIA 2021 – Advances in Artificial Intelligence; Lecture Notes in Computer Science,

De Filippo, Allegra ; Lombardi, Michele ; Milano, Michela - p. 609-623 , 2022

Link: https://doi.org/10.1007/..

5

Anomaly Detection and Anticipation in High Performance Comp..:

Borghesi, Andrea ; Molan, Martin ; Milano, Michela.
IEEE Transactions on Parallel and Distributed Systems. 33 (2022) 4 - p. 739-750 , 2022

Link: https://doi.org/10.1109/..

6

Trustworthy AI - Integrating Learning, Optimization and Rea..

Lecture Notes in Artificial Intelligence, 12641

Heintz, Fredrik ; Milano, Michela ; O'Sullivan, Barry - 1st ed. 2021 . , 2021

Link: https://doi.org/10.1007/..

7

An Analysis of Regularized Approaches for Constrained Machi..:

, In: Trustworthy AI - Integrating Learning, Optimization and Reasoning; Lecture Notes in Computer Science,

Lombardi, Michele ; Baldo, Federico ; Borghesi, Andrea. - p. 112-119 , 2021

Link: https://doi.org/10.1007/..

8

Injecting Domain Knowledge in Neural Networks: A Controlled..:

, In: Integration of Constraint Programming, Artificial Intelligence, and Operations Research; Lecture Notes in Computer Science,

Silvestri, Mattia ; Lombardi, Michele ; Milano, Michela - p. 266-282 , 2021

Link: https://doi.org/10.1007/..

9

Artificial Intelligence and the Future of Work:

, In: Reflections on Artificial Intelligence for Humanity; Lecture Notes in Computer Science,

Harayama, Yuko ; Milano, Michela ; Baldwin, Richard... - p. 53-67 , 2021

Link: https://doi.org/10.1007/..

10

Combining learning and optimization for transprecision comp..:

, In: Proceedings of the 17th ACM International Conference on Computing Frontiers,

Borghesi, Andrea ; Tagliavini, Giuseppe ; Lombardi, Michele.. - p. 10-18 , 2020

Link: https://dl.acm.org/doi/1..

11

Injective Domain Knowledge in Neural Networks for Transprec..:

, In: Machine Learning, Optimization, and Data Science; Lecture Notes in Computer Science,

Borghesi, Andrea ; Baldo, Federico ; Lombardi, Michele. - p. 587-600 , 2020

Link: https://doi.org/10.1007/..

12

A Sampling-Free Anticipatory Algorithm for the Kidney Excha..:

, In: Integration of Constraint Programming, Artificial Intelligence, and Operations Research; Lecture Notes in Computer Science,

Chisca, Danuta Sorina ; Lombardi, Michele ; Milano, Michela. - p. 146-162 , 2019

Link: https://doi.org/10.1007/..

13

Logic-Based Benders Decomposition for Super Solutions: An A..:

, In: Lecture Notes in Computer Science; Principles and Practice of Constraint Programming,

Chisca, Danuta Sorina ; Lombardi, Michele ; Milano, Michela. - p. 108-125 , 2019

Link: https://doi.org/10.1007/..

14

Frequency Assignment in High Performance Computing Systems:

, In: Lecture Notes in Computer Science; AI*IA 2019 – Advances in Artificial Intelligence,

Borghesi, Andrea ; Milano, Michela ; Benini, Luca - p. 151-164 , 2019

Link: https://doi.org/10.1007/..

15

A semisupervised autoencoder-based approach for anomaly det..:

Borghesi, Andrea ; Bartolini, Andrea ; Lombardi, Michele..
Engineering Applications of Artificial Intelligence. 85 (2019) - p. 634-644 , 2019

Link: https://doi.org/10.1016/..