Search Results for author:
Found 39 papers, 18 papers with code
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.
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.
Evaluation Measures for Hierarchical Classification: a unified view and novel approaches
Hierarchical classification addresses the problem of classifying items into a hierarchy of classes.
Probabilistic Cascading for Large Scale Hierarchical Classification
Hierarchies are frequently used for the organization of objects.
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.
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).
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.
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.
Results of the fifth edition of the BioASQ Challenge
The goal of the BioASQ challenge is to engage researchers into creating cuttingedge biomedical information systems.
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.
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.
Event Forecasting with Pattern Markov Chains
We present a system for online probabilistic event forecasting.
Results of the sixth edition of the BioASQ Challenge
This paper presents the results of the sixth edition of the BioASQ challenge.
Wayeb: a Tool for Complex Event Forecasting
Complex Event Processing (CEP) systems have appeared in abundance during the last two decades.
Semi-Supervised Tensor Factorization for Node Classification in Complex Social Networks
This paper proposes a method to guide tensor factorization, using class labels.
Tensor Factorization with Label Information for Fake News Detection
As the detection of fake news is increasingly considered a technological problem, it has attracted considerable research.
iASiS Open Data Graph: Automated Semantic Integration of Disease-Specific Knowledge
In biomedical research, unified access to up-to-date domain-specific knowledge is crucial, as such knowledge is continuously accumulated in scientific literature and structured resources.
Beyond MeSH: Fine-Grained Semantic Indexing of Biomedical Literature based on Weak Supervision
To this end, we propose a new method that uses weak supervision to train a concept annotator on the literature available for a particular disease.
Results of the seventh edition of the BioASQ Challenge
The results of the seventh edition of the BioASQ challenge are presented in this paper.
What is all this new MeSH about? Exploring the semantic provenance of new descriptors in the MeSH thesaurus
To this end, we propose a framework to categorize new descriptors based on their current relation to older descriptors.
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.
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.
Harvesting the Public MeSH Note field
In this document, we report an analysis of the Public MeSH Note field of the new descriptors introduced in the MeSH thesaurus between 2006 and 2020.
Overview of BioASQ 2021: The ninth BioASQ challenge on Large-Scale Biomedical Semantic Indexing and Question Answering
Advancing the state-of-the-art in large-scale biomedical semantic indexing and question answering is the main focus of the BioASQ challenge.
Overview of BioASQ 2020: The eighth BioASQ challenge on Large-Scale Biomedical Semantic Indexing and Question Answering
In this paper, we present an overview of the eighth edition of the BioASQ challenge, which ran as a lab in the Conference and Labs of the Evaluation Forum (CLEF) 2020.
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.
MAGNEx: A Model Agnostic Global Neural Explainer
Black-box decision models have been widely adopted both in industry and academia due to their excellent performance across many challenging tasks and domains.
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.
Tree-based Focused Web Crawling with Reinforcement Learning
A focused crawler aims at discovering as many web pages relevant to a target topic as possible, while avoiding irrelevant ones.
FiNER: Financial Numeric Entity Recognition for XBRL Tagging
We, therefore, introduce XBRL tagging as a new entity extraction task for the financial domain and release FiNER-139, a dataset of 1. 1M sentences with gold XBRL tags.
Predicting Intervention Approval in Clinical Trials through Multi-Document Summarization
In this study, we propose a new method to predict the effectiveness of an intervention in a clinical trial.
Learning Automata-Based Complex Event Patterns in Answer Set Programming
Complex Event Recognition and Forecasting (CER/F) techniques attempt to detect, or even forecast ahead of time, event occurrences in streaming input using predefined event patterns.
Efficient multi-relational network representation using primes
In this work, we propose a novel representation of complex multi-relational networks, which is compact and allows very efficient network analysis.
Overview of BioASQ 2022: The tenth BioASQ challenge on Large-Scale Biomedical Semantic Indexing and Question Answering
This paper presents an overview of the tenth edition of the BioASQ challenge in the context of the Conference and Labs of the Evaluation Forum (CLEF) 2022.
Large-scale investigation of weakly-supervised deep learning for the fine-grained semantic indexing of biomedical literature
Conclusion: The results suggest that concept occurrence is a strong heuristic for refining the coarse-grained labels at the level of MeSH concepts and the proposed method improves it further.
Analysing Biomedical Knowledge Graphs using Prime Adjacency Matrices
Most phenomena related to biomedical tasks are inherently complex, and in many cases, are expressed as signals on biomedical Knowledge Graphs (KGs).
Financial misstatement detection: a realistic evaluation
In this work, we examine the evaluation process for the task of detecting financial reports with a high risk of containing a misstatement.
Overview of BioASQ 2023: The eleventh BioASQ challenge on Large-Scale Biomedical Semantic Indexing and Question Answering
This is an overview of the eleventh edition of the BioASQ challenge in the context of the Conference and Labs of the Evaluation Forum (CLEF) 2023.
