Guido Cantelmo

27 papers B 1C 1Journal 9Unranked 16

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Metalearning traffic assignment for network disruptions with graph convolutional neural networks. CoRR Serio Agriesti, Guido Cantelmo, Francisco Câmara Pereira
2025	—	`conf`	Addressing Data Imbalance in the Bike Sharing Inventory Problem Using Balance Cascade. MT-ITS Nicola Damiano, Thomas Kjær Rasmussen, Guido Cantelmo
2025	—	`conf`	Learning Traffic Flows: Graph Neural Networks for Metamodelling Traffic Assignment. MT-ITS Oskar Bohn Lassen, Serio Agriesti, Mohamed Eldafrawi, Daniele Gammelli, Guido Cantelmo, Guido Gentile, Francisco Câmara Pereira
2025	J	`jnl`	Learning to Learn the Macroscopic Fundamental Diagram using Physics-Informed and meta Machine Learning techniques. CoRR Amalie Roark, Serio Agriesti, Francisco Câmara Pereira, Guido Cantelmo
2025	J	`jnl`	Learning traffic flows: Graph Neural Networks for Metamodelling Traffic Assignment. CoRR Oskar Bohn Lassen, Serio Agriesti, Mohamed Eldafrawi, Daniele Gammelli, Guido Cantelmo, Guido Gentile, Francisco Câmara Pereira
2025	—	`conf`	Meta-Learning Approach for Traffic Prediction. MT-ITS Annarita Carianni, Andrea Gemma, Guido Cantelmo, Ernesto Cipriani
2023	J	`jnl`	Learning from Imbalanced Datasets: The Bike-Sharing Inventory Problem Using Sparse Information. Algorithms Giovanni Ceccarelli, Guido Cantelmo, Marialisa Nigro, Constantinos Antoniou
2023	—	`conf`	Long-term & short-term bike sharing demand predictions using contextual data. MT-ITS Mirfarnam Tabandeh, Constantinos Antoniou, Guido Cantelmo
2023	J	`jnl`	Machine learning for activity pattern detection. J. Intell. Transp. Syst. Natalia Selini Hadjidimitriou, Guido Cantelmo, Constantinos Antoniou
2022	J	`jnl`	A Gaussian sampling heuristic estimation model for developing synthetic trip sets. Comput. Aided Civ. Infrastructure Eng. Sérgio F. A. Batista, Guido Cantelmo, Mónica Menéndez, Constantinos Antoniou
2022	J	`jnl`	Mobility-Driven and Energy-Efficient Deployment of Edge Data Centers in Urban Environments. IEEE Trans. Sustain. Comput. Piergiorgio Vitello, Andrea Capponi, Claudio Fiandrino, Guido Cantelmo, Dzmitry Kliazovich
2021	—	`conf`	Machine Learning from imbalanced data-sets: an application to the bike-sharing inventory problem. MT-ITS Giovanni Ceccarelli, Guido Cantelmo, Marialisa Nigro, Constantinos Antoniou
2019	—	`conf`	A low dimensional model for bike sharing demand forecasting. MT-ITS Guido Cantelmo, Rafal Kucharski, Constantinos Antoniou
2019	C	`conf`	Crowdsensed Data Learning-Driven Prediction of Local Businesses Attractiveness in Smart Cities. ISCC Andrea Capponi, Piergiorgio Vitello, Claudio Fiandrino, Guido Cantelmo, Dzmitry Kliazovich, Ulrich Sorger, Pascal Bouvry
2019	J	`jnl`	Incorporating Trip Chaining within Online Demand Estimation. CoRR Guido Cantelmo, Moeid Qurashi, A. Arun Prakash, Constantinos Antoniou, Francesco Viti
2019	—	`conf`	Leveraging GIS Data and Topological Information to Infer Trip Chaining Behaviour at Macroscopic Level. MT-ITS Filippo Carrese, Guido Cantelmo, Gaetano Fusco, Francesco Viti
2019	B	`conf`	The Impact of Human Mobility on Edge Data Center Deployment in Urban Environments. GLOBECOM Piergiorgio Vitello, Andrea Capponi, Claudio Fiandrino, Guido Cantelmo, Dzmitry Kliazovich
2018	—	`conf`	Using Passive Data Collection Methods to Learn Complex Mobility Patterns: An Exploratory Analysis. ITSC Bogdan Toader, Guido Cantelmo, Mioara Popescu, Francesco Viti
2017	—	`conf`	Demo: MAMBA: A platform for personalised multimodal trip planning. VNC Sébastien Faye, Guido Cantelmo, Ibrahim Tahirou, Thierry Derrmann, Francesco Viti, Thomas Engel
2017	—	`conf`	Effectiveness of the two-step dynamic demand estimation model on large networks. MT-ITS Guido Cantelmo, Francesco Viti, Thierry Derrmann
2016	—	`conf`	A network-wide assessment of local signal control policies' performance in practical implementations. ITSC Guido Cantelmo, Francesco Viti, Marco Rinaldi
2015	—	`conf`	A Markov chain dynamic model for trip generation and distribution based on CDR. MT-ITS Simone Aniello Di Donna, Guido Cantelmo, Francesco Viti
2015	—	`conf`	A Two-Steps Dynamic Demand Estimation Approach Sequentially Adjusting Generations and Distributions. ITSC Guido Cantelmo, Francesco Viti, Ernesto Cipriani, Marialisa Nigro
2015	—	`conf`	Assessing the consistency between observed and modelled route choices through GPS data. MT-ITS Selini Natalia Hadjidimitriou, Mauro Dell'Amico, Guido Cantelmo, Francesco Viti
2015	—	`conf`	Systematic assessment of local & global signal control policies: A methodological perspective. MT-ITS Guido Cantelmo, Francesco Viti, Marco Rinaldi, Chris M. J. Tampère, Michael J. Smith, Klaus Nokel
2015	—	`conf`	The Impact of Route Choice Modeling on Dynamic OD Estimation. ITSC Ernesto Cipriani, Andrea del Giudice, Marialisa Nigro, Francesco Viti, Guido Cantelmo
2014	J	`jnl`	An Adaptive Bi-Level Gradient Procedure for the Estimation of Dynamic Traffic Demand. IEEE Trans. Intell. Transp. Syst. Guido Cantelmo, Ernesto Cipriani, Andrea Gemma, Marialisa Nigro