Search Results for author:
Found 21 papers, 9 papers with code
Early Time-Series Classification Algorithms: An Empirical Comparison
Our goal is to provide a framework for the evaluation and comparison of ETSC algorithms and to obtain intuition on how such approaches perform on real-life applications.
Symbolic Register Automata for Complex Event Recognition and Forecasting
We show how SRA can be used in Complex Event Recognition in order to detect patterns upon streams of events, using our framework that provides declarative and compositional semantics, and that allows for a systematic treatment of such automata.
Complex Event Forecasting with Prediction Suffix Trees: Extended Technical Report
In particular, prediction suffix trees, being variable-order Markov models, have the ability to capture long-term dependencies in a stream by remembering only those past sequences that are informative enough.
Online Learning Probabilistic Event Calculus Theories in Answer Set Programming
Complex Event Recognition (CER) systems detect event occurrences in streaming time-stamped input using predefined event patterns.
Parallel Model Exploration for Tumor Treatment Simulations
The main challenges are first to calibrate the simulators so as to reproduce real-world cases, and second, to search for specific values of the parameter space concerning effective drug treatments.
Proceedings 36th International Conference on Logic Programming (Technical Communications)
Since the first conference held in Marseille in 1982, ICLP has been the premier international event for presenting research in logic programming.
Optimizing Vessel Trajectory Compression
We take into account the type of each vessel in order to provide a suitable configuration that can yield improved trajectory synopses, both in terms of approximation error and compression ratio.
Online Event Recognition from Moving Vehicles: Application Paper
We present a system for online composite event recognition over streaming positions of commercial vehicles.
Composite Event Recognition for Maritime Monitoring
Maritime monitoring systems support safe shipping as they allow for the real-time detection of dangerous, suspicious and illegal vessel activities.
Wayeb: a Tool for Complex Event Forecasting
Complex Event Processing (CEP) systems have appeared in abundance during the last two decades.
Event Forecasting with Pattern Markov Chains
We present a system for online probabilistic event forecasting.
Semi-Supervised Online Structure Learning for Composite Event Recognition
Online structure learning approaches, such as those stemming from Statistical Relational Learning, enable the discovery of complex relations in noisy data streams.
The Complex Event Recognition Group
The Complex Event Recognition (CER) group is a research team, affiliated with the National Centre of Scientific Research "Demokritos" in Greece.
Distributed Online Learning of Event Definitions
Logic-based event recognition systems infer occurrences of events in time using a set of event definitions in the form of first-order rules.
An Integrated and Scalable Platform for Proactive Event-Driven Traffic Management
Traffic on freeways can be managed by means of ramp meters from Road Traffic Control rooms.
Online Learning of Event Definitions
The Event Calculus is a temporal logic that has been used as a basis in event recognition applications, providing among others, direct connections to machine learning, via Inductive Logic Programming (ILP).
Online Event Recognition from Moving Vessel Trajectories
We present a system for online monitoring of maritime activity over streaming positions from numerous vessels sailing at sea.
Reactive Reasoning with the Event Calculus
Systems for symbolic event recognition accept as input a stream of time-stamped events from sensors and other computational devices, and seek to identify high-level composite events, collections of events that satisfy some pattern.
Incremental Learning of Event Definitions with Inductive Logic Programming
Ideally, systems that learn from temporal data should be able to operate in an incremental mode, that is, revise prior constructed knowledge in the face of new evidence.
Probabilistic Event Calculus for Event Recognition
In a typical event recognition application, however, these systems often have to deal with a significant amount of uncertainty.
A Probabilistic Logic Programming Event Calculus
The input of our system is a set of time-stamped short-term activities (STA) detected on video frames.
