Online event recognition over noisy data streams
Composite event recognition (CER) systems process streams of sensor data and infer
composite events of interest by means of pattern matching. Data uncertainty is frequent in …
composite events of interest by means of pattern matching. Data uncertainty is frequent in …
A probabilistic interval-based event calculus for activity recognition
Activity recognition refers to the detection of temporal combinations of 'low-level'or 'short-
term'activities on sensor data. Various types of uncertainty exist in activity recognition …
term'activities on sensor data. Various types of uncertainty exist in activity recognition …
Towards an inductive logic programming approach for explaining black-box preference learning systems
FA D'Asaro, M Spezialetti, L Raggioli… - Proceedings of the …, 2020 - proceedings.kr.org
In this paper we advocate the use of Inductive Logic Programming as a device for explaining
black-box models, eg Support Vector Machines (SVMs), when they are used to learn user …
black-box models, eg Support Vector Machines (SVMs), when they are used to learn user …
[HTML][HTML] Probabilistic reasoning about epistemic action narratives
We propose the action language EPEC–Epistemic Probabilistic Event Calculus–that
supports probabilistic, epistemic reasoning about narratives of action occurrences and …
supports probabilistic, epistemic reasoning about narratives of action occurrences and …
An application of a runtime epistemic probabilistic event calculus to decision-making in e-health systems
FA D'ASARO, L Raggioli, S Malek… - Theory and Practice of …, 2023 - cambridge.org
We present and discuss a runtime architecture that integrates sensorial data and classifiers
with a logic-based decision-making system in the context of an e-Health system for the …
with a logic-based decision-making system in the context of an e-Health system for the …
[HTML][HTML] An answer set programming-based implementation of epistemic probabilistic event calculus
We describe a general procedure for translating Epistemic Probabilistic Event Calculus
(EPEC) action language domains into Answer Set Programs (ASP), and show how the …
(EPEC) action language domains into Answer Set Programs (ASP), and show how the …
Introducing k-lingo: a k-depth Bounded Version of ASP System Clingo
FA D'Asaro, P Baldi, G Primiero - KR2021, 2021 - air.unimi.it
Abstract Depth-Bounded Boolean Logics (DBBL for short) are well-understood frameworks
to model rational agents equipped with limited deductive capabilities. These Logics use a …
to model rational agents equipped with limited deductive capabilities. These Logics use a …
A Probabilistic Extension of Action Language$
A Probabilistic Extension of Action Language BC+ Page 1 TLP 18 (3–4): 607–622, 2018. C
Cambridge University Press 2018 doi:10.1017/S1471068418000303 607 A Probabilistic …
Cambridge University Press 2018 doi:10.1017/S1471068418000303 607 A Probabilistic …
Online probabilistic interval-based event calculus
Activity recognition systems detect temporal combinations of 'low-level'or 'short-
term'activities on sensor data. These systems exhibit various types of uncertainty, often …
term'activities on sensor data. These systems exhibit various types of uncertainty, often …
[PDF][PDF] Towards a logic-based approach for multi-modal fusion and decision making during motor rehabilitation sessions
We introduce a general approach which aims at combining machine learning and logic-
based techniques in order to model its user's cognitive and motor abilities. In the context of …
based techniques in order to model its user's cognitive and motor abilities. In the context of …