Detailed info On Efficiently Partitioning a Topic in Apache Kafka AuthorsTheofanis P. Raptis, Andrea PassarellaTitleOn Efficiently Partitioning a Topic in Apache KafkaAbstractApache Kafka addresses the general problem of delivering extreme…
Detailed info Optimizing PhiNet architectures for the detection of urban sounds on low-end devices AuthorsAlessio Brutti, Francesco Paissan, Alberto Ancilotto, Elisabetta FarellaTitleOptimizing PhiNet architectures for the detection of urban sounds…
Detailed info The Best of Many Worlds: Scheduling Machine Learning Inference on CPU-GPU Integrated Architectures AuthorsRafail Tsirbas, Giorgos Vasiliadis, Sotiris IoannidisTitleThe Best of Many Worlds: Scheduling Machine Learning Inference on…
MARVEL is organizing the “Edge-Fog-Cloud Machine Learning for Smart Cities Applications” a Special Session at the EUSIPCO 2022. The aim of this special session is to bring together and disseminate state-of-the-art research contributions that address Edge-to-fog-to-cloud (E2F2C) processing in the context of smart cities, including the analysis and design of novel algorithms and methodologies, innovative smart cities applications with E2F2C processing, and enabling technologies, etc. Please consider submitting your latest research in the topic.
Machine learning fairness is a growing field that seeks to cement the abstract principles of "fairness" in machine learning algorithms.
The authors are Vandana Rajan, Alessio Brutti, and Andrea Cavallaro and they will present the results in the IEEE International Conference on Acoustics, Speech, & Signal Processing (ICASSP). The conference will take place in Toronto on the 06th until the 11th of June, 2021.
Prof. Alexandros Iosifidis of Aarhus University, gave a webinar presentation to PROSA, a Danish IT-oriented union with ~16.000 members working in the broad area of IT systems
he Internet of Things (IoT) and smart city paradigm includes ubiquitous technology to extract context information in order to return useful services to users and citizens. An essential role in this scenario is often played by computer vision applications, requiring the acquisition of images from specific devices.
