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| | After graduating with a degree in physics from the University of Milano, Giuseppina Gini specialized in computer science as a post-doc fellow and worked on different artificial intelligence projects at the Politecnico di Milano (1972-1976). From 1976 to 1987, she held an assistant professor position at Politecnico di Milano, as well as various appointments as a visiting scholar and research assistant at Stanford University (California, USA) (in the Artificial intelligence Laboratory of the Computer Science Department and in the NMR Laboratory of the Medical School) and at SRI. Since 1987, she has been an associate professor at Politecnico di Milano, Faculty of Computer Engineering. Gini has written and edited two books, and has authored about 200 refereed papers in scientific journals, books, and conference proceedings. Among other professional services, she organized and chaired the Symposium on Predictive Toxicology (Stanford, March 1999) for the American Association of Artificial Intelligence, and the AI&Math special session on Knowledge Exploration in Predictive Toxicology (January 2000). She has been a partner in 16 international research projects (for NATO and the EU), and the coordinator of an EU project devoted to the development of new expert system methods in predictive toxicology. Moreover, she has directed seven national research projects. Her main areas of research are knowledge representation and reasoning, with an emphasis on algorithms, biologically inspired solutions, hybrid systems, and computational efficiency. The main application areas in which she focuses her work are spatial and visual reasoning, human-machine interaction, and data mining. Over the course of her career, she has developed languages, simulators, and planners. In addition, she has cooperated with many European research centers over the past 15 years on various projects related to toxicity modeling, predictive systems, data mining, and in silico models. Gini has been a reviewer for Computing Reviews since 1985, and has over 60 published reviews. |
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1 - 10 of 131
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Online learning for network resource allocation
Salem T., Salem T. ACM SIGMETRICS Performance Evaluation Review 50(3): 20-23, 2023. Type: Article
Network resource allocation is still a challenge in many scenarios where fast services need to be provided in changing and unpredictable situations, for example, the ones encountered in streaming data applications....
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Aug 25 2023 |
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Should robots have rights or rites?
Kim T., Strudler A. Communications of the ACM 66(6): 78-85, 2023. Type: Article
Imagining a future where robots routinely interact with people has raised debate about whether robots deserve special treatment, and eventually rights. Instead of discussing the legal status of robots, the authors propose a view rooted in Confucia...
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Aug 18 2023 |
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Intelligent robot: implementation and applications
Duan F., Li W., Tan Y., Springer International Publishing, New York, NY, 2023. 302 pp. Type: Book (978-9811982521)
Developing intelligent robots is a difficult task. Even the act of defining an intelligent robot is hard. However, according to the book’s subtitle--implementation and applications--the authors aim to develop robot applicati...
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Jul 17 2023 |
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Deep learning based single sample face recognition: a survey
Liu F., Chen D., Wang F., Li Z., Xu F. Artificial Intelligence Review 1(1): 1-26, 2022. Type: Article
Deep learning (DL) methods, and in particular convolutional neural networks (CNNs), provide the most used and most effective face recognition systems. However, when “each identity has only a single sample available for training,” perfo...
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Dec 27 2022 |
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 Deep transfer learning in human-robot interaction for cognitive and physical rehabilitation purposes
Aqdus Ilyas C., Rehm M., Nasrollahi K., Madadi Y., Moeslund T., Seydi V. Pattern Analysis & Applications 25(3): 653-677, 2022. Type: Article
Despite the huge number of publicly available images, emotion recognition for real applications suffers from a lack of relevant images. This challenge is considered here, where the task involves interpreting the facial expressions of patients with...
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Oct 17 2022 |
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Detection and resolution of rumours in social media: A Survey
Zubiaga A., Aker A., Bontcheva K., Liakata M., Procter R. ACM Computing Surveys 51(2): 1-36, 2018. Type: Article
Unverified information can spread on the web and influence public opinion before it is eventually verified as true or false. Such rumors eventually evolve during reiterated transmission, and often accompany fake news. The use of social...
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Mar 30 2022 |
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Dependable visual light-based indoor localization with automatic anomaly detection for location-based service of mobile cyber-physical systems
Liu Y., Chen X., Kadambi D., Bari A., Li X., Hu S., Zhou P. ACM Transactions on Cyber-Physical Systems 3(1): 1-17, 2018. Type: Article
Indoor localization for mobile devices can employ beacons inserted in known positions in the environment. Light-emitting diodes (LEDs) are becoming popular beacons because of their simplicity; however, using the light for localization ...
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Jul 2 2021 |
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A survey on gait recognition
Wan C., Wang L., Phoha V. ACM Computing Surveys 51(5): 1-35, 2018. Type: Article
Gait recognition is a biometric method that uses sensor data to recognize people based on body shape and walking styles. Gait data is acquired from video images, inertial sensors, or sensors in the environment. The possible uses are di...
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Jun 8 2021 |
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Probabilistic policy reuse for safe reinforcement learning
García J., Fernández F. ACM Transactions on Autonomous and Adaptive Systems 13(3): 1-24, 2019. Type: Article
Human and robot planners seek safe and optimal action plans. Learning to adapt good examples, such as the ones provided by a teacher, is an effective way to speed up action planning and can be used to start reinforcement learning. When...
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Dec 17 2020 |
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Learning from human-robot interactions in modeled scenes
Murnane M., Breitmeyer M., Ferraro F., Matuszek C., Engel D. SIGGRAPH 2019 (ACM SIGGRAPH 2019 Posters, Los Angeles, CA, Jul 28, 2019) 1-2, 2019. Type: Proceedings
Usually robots are checked and tested in virtual environments before delivering them to the real world. In this poster, however, the robot is only virtual, and users interacting with it are also rendered in virtual reality....
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Sep 2 2020 |
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