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Andrea Passarella

Modeling Human Behavior Part I -- Learning and Belief Approaches



Andrew Fuchs , Andrea Passarella , Marco Conti

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* Part 1 of our review (see Modeling Human Behavior Part II - Cognitive approaches and Uncertainty) relating to learning and modeling behavior. This work was partially funded by the following projects. European Union's Horizon 2020 research and innovation programme: HumaneAI-Net (No 952026). CHIST-ERA program: SAI project (grant CHIST-ERA-19-XAI-010, funded by MUR, grant number not yet available) 
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Modeling Human Behavior Part II -- Cognitive approaches and Uncertainty



Andrew Fuchs , Andrea Passarella , Marco Conti

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* This is Part 2 of our review (see Modeling Human Behavior Part I - Learning and Belief Approaches) relating to learning and modeling behavior. This work was partially funded by the following projects. European Union's Horizon 2020 research and innovation programme: HumaneAI-Net (No 952026). CHIST-ERA program: SAI project (grant CHIST-ERA-19-XAI-010, funded by MUR, grant number not yet available) 
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A Cognitive Framework for Delegation Between Error-Prone AI and Human Agents



Andrew Fuchs , Andrea Passarella , Marco Conti

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* This work was partially funded by the following projects. European Union's Horizon 2020 research and innovation programme: HumaneAI-Net (No 952026). CHIST-ERA program: SAI project (grant CHIST-ERA-19-XAI-010, funded by MUR, grant number not yet available) 
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Structural invariants and semantic fingerprints in the "ego network" of words



Kilian Ollivier , Chiara Boldrini , Andrea Passarella , Marco Conti

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* This work was partially funded by the H2020 SoBigData++ (Grant No 871042), H2020 HumaneAI-Net (Grant No 952026), and CHIST-ERA SAI (Grant No not yet available) projects. arXiv admin note: text overlap with arXiv:2110.06015 
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Predictive Auto-scaling with OpenStack Monasca



Giacomo Lanciano , Filippo Galli , Tommaso Cucinotta , Davide Bacciu , Andrea Passarella

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* Accepted at 2021 IEEE/ACM 14th International Conference on Utility and Cloud Computing (UCC'21) 
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Cellular traffic offloading via Opportunistic Networking with Reinforcement Learning



Lorenzo Valerio , Raffaele Bruno , Andrea Passarella

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* Elsevier Computer Communications. Volume 71, 1 November 2015, Pages 129-141 
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A communication efficient distributed learning framework for smart environments



Lorenzo Valerio , Andrea Passarella , Marco Conti

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* Elsevier Pervasive and Mobile Computing, Volume 41, October 2017, Pages 46-68 
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Energy efficient distributed analytics at the edge of the network for IoT environments



Lorenzo Valerio , Marco Conti , Andrea Passarella

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* Pervasive and Mobile Computing, Volume 51, December 2018, Pages 27-42 
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Harnessing the Power of Ego Network Layers for Link Prediction in Online Social Networks



Mustafa Toprak , Chiara Boldrini , Andrea Passarella , Marco Conti

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* This work was partially funded by the following projects. European Union's Horizon 2020 research and innovation programme: SoBigData++ (No 871042), HumaneAI-Net (No 952026), MARVEL (No 957337). Italian PON-MISE program: OK-INSAID project (No ARS01 00917). CHIST-ERA program: SAI project (grant CHIST-ERA-19-XAI-010, funded by MUR, grant number not yet available) 
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Optimising cost vs accuracy of decentralised analytics in fog computing environments



Lorenzo Valerio , Andrea Passarella , Marco Conti

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* Submitted to IEEE TNSE 
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