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Outputs (23)

Classification-to-Segmentation: Class Activation Mapping for Zero-Shot Skin Lesion Segmentation (2025)
Presentation / Conference Contribution
Cockayne, M. J., Ortolani, M., & Al-Bander, B. (2025, September). Classification-to-Segmentation: Class Activation Mapping for Zero-Shot Skin Lesion Segmentation. Presented at Second International Conference, AIiH 2025, Cambridge, UK

Zero-shot skin lesion segmentation allows for efficient processing times, without reliance on laborious data gathering for training supervised segmentation models. However, while foundation models such as Segment Anything (SAM) have shown strong abil... Read More about Classification-to-Segmentation: Class Activation Mapping for Zero-Shot Skin Lesion Segmentation.

MicroMaps: Ontology-driven Semantic Geospatial Data Fusion Approach for IoT Integration and Decision Making in Smart Cities (2025)
Presentation / Conference Contribution
Rayis, A., Ortolani, M., David, R.-M., Hirschi, R., & Misirli, G. (2025, August). MicroMaps: Ontology-driven Semantic Geospatial Data Fusion Approach for IoT Integration and Decision Making in Smart Cities. Presented at 2025 the 9th International Conference on Cloud, Big Data and Communication Systems (ICCBDCS 2025), Manchester

Smart cities generate large amounts of Internet of
Things data from diverse sources, often presented in varying
formats and with inconsistent quality, complicating effective data
management and interoperability. Despite recent advancements
relate... Read More about MicroMaps: Ontology-driven Semantic Geospatial Data Fusion Approach for IoT Integration and Decision Making in Smart Cities.

Reflections on the 35th BCS Human-Computer Interaction Conference at Keele University (2022)
Presentation / Conference Contribution
Woolley, S., de Quincey, E., Flint, T., Grandison, T., Rugg, G., Fleck, R., Whittington, P., Ortolani, M., Misirli, G., & Collins, T. (2022, July). Reflections on the 35th BCS Human-Computer Interaction Conference at Keele University. Presented at 35th International BCS Human-Computer Interaction Conference, Keele, Staffordshire, UK

Compounding barriers to fairness in the digital technology ecosystem (2021)
Presentation / Conference Contribution
Woolley, S. I., Collins, T., Andras, P., Gardner, A., Ortolani, M., & Pitt, J. (2021, October). Compounding barriers to fairness in the digital technology ecosystem. Presented at 2021 IEEE International Symposium on Technology and Society (ISTAS), Waterloo, ON, Canada

A growing sense of unfairness permeates our quasi-digital society. Despite drivers supporting and motivating ethical practice in the digital technology ecosystem, there are compounding barriers to fairness that, at every level, impact technology inno... Read More about Compounding barriers to fairness in the digital technology ecosystem.

A fog-based hybrid intelligent system for energy saving in smart buildings (2020)
Journal Article
Ortolani. (2020). A fog-based hybrid intelligent system for energy saving in smart buildings. Journal of Ambient Intelligence and Humanized Computing, 2793-2807. https://doi.org/10.1007/s12652-019-01375-2

In recent years, the widespread diffusion of pervasive sensing devices and the increasing need for reducing energy consumption have encouraged research in the energy-aware management of smart environments. Following this direction, this paper propose... Read More about A fog-based hybrid intelligent system for energy saving in smart buildings.

Hierarchical Syntactic Models for Human Activity Recognition through Mobility Traces (2019)
Journal Article
Casella, E., Ortolani, M., Silvestri, S., & Das, S. K. (2019). Hierarchical Syntactic Models for Human Activity Recognition through Mobility Traces. Personal and Ubiquitous Computing, 24, 451-464. https://doi.org/10.1007/s00779-019-01319-9

Recognizing users’ daily life activities without disrupting their lifestyle is a key functionality to enable a broad variety of advanced services for a Smart City, from energy-efficient management of urban spaces to mobility optimization. In this pa... Read More about Hierarchical Syntactic Models for Human Activity Recognition through Mobility Traces.

Hierarchical Syntactic Models for Human Activity Recognition through Mobility Traces (2019)
Journal Article
Casella, E., Ortolani, M., Silvestri, S., & Das, S. K. (2020). Hierarchical Syntactic Models for Human Activity Recognition through Mobility Traces. Personal Technologies, 24, 451-464. https://doi.org/10.1007/s00779-019-01319-9

Recognizing users’ daily life activities without disrupting their lifestyle is a key functionality to enable a broad variety of advanced services for a Smart City, from energy-efficient management of urban spaces to mobility optimization. In this pap... Read More about Hierarchical Syntactic Models for Human Activity Recognition through Mobility Traces.

A Network Tomography Approach for Traffic Monitoring in Smart Cities (2018)
Journal Article
Ortolani, Zhang, R., Newman, S., Ortolani, M., & Silvestri, S. (2018). A Network Tomography Approach for Traffic Monitoring in Smart Cities. IEEE Transactions on Intelligent Transportation Systems, 19(7), 2268 - 2278. https://doi.org/10.1109/TITS.2018.2829086

Traffic monitoring is a key enabler for several planning and management activities of a Smart City. However, traditional techniques are often not cost efficient, flexible, and scalable. This paper proposes an approach to traffic monitoring that does... Read More about A Network Tomography Approach for Traffic Monitoring in Smart Cities.

An Ambient Intelligence System for Assisted Living (2017)
Book Chapter
Ortolani. (2017). An Ambient Intelligence System for Assisted Living. In 2017 AEIT International Annual Conference, Cagliari, Italy, 20-22 Sep (1 -6). https://doi.org/10.23919/AEIT.2017.8240559

Nowadays, the population's average age is constantly increasing, and thus the need for specialized home assistance is on the rise. Smart homes especially tailored to meet elderly and disabled people's needs can help them maintaining their autonomy, w... Read More about An Ambient Intelligence System for Assisted Living.