Marjan Alirezaie
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View article: Perspective-Aware AI in Extended Reality
Perspective-Aware AI in Extended Reality Open
AI-enhanced Extended Reality (XR) aims to deliver adaptive, immersive experiences-yet current systems fall short due to shallow user modeling and limited cognitive context. We introduce Perspective-Aware AI in Extended Reality (PAiR), a fo…
View article: Enabling Perspective-Aware Ai with Contextual Scene Graph Generation
Enabling Perspective-Aware Ai with Contextual Scene Graph Generation Open
This paper advances contextual image understanding within perspective-aware Ai (PAi), an emerging paradigm in human–computer interaction that enables users to perceive and interact through each other’s perspectives. While PAi relies on mul…
View article: SSET: Swapping-Sliding Explanation for Time Series Classifiers in Affect Detection
SSET: Swapping-Sliding Explanation for Time Series Classifiers in Affect Detection Open
Local explanation of machine learning (ML) models has recently received significant attention due to its ability to reduce ambiguities about why the models make specific decisions. Extensive efforts have been invested to address explainabi…
View article: CLEVR-POC: Reasoning-Intensive Visual Question Answering in Partially Observable Environments
CLEVR-POC: Reasoning-Intensive Visual Question Answering in Partially Observable Environments Open
The integration of learning and reasoning is high on the research agenda in AI. Nevertheless, there is only a little attention to use existing background knowledge for reasoning about partially observed scenes to answer questions about the…
View article: Decentralized Data and Artificial Intelligence Orchestration for Transparent and Efficient Small and Medium-Sized Enterprises Trade Financing
Decentralized Data and Artificial Intelligence Orchestration for Transparent and Efficient Small and Medium-Sized Enterprises Trade Financing Open
The complexities arising from disparate data sources, conflicting contracts, residency requirements, and the demand for multiple AI models in trade finance supply chains have hindered small and medium-sized enterprises (SMEs) with limited …
View article: Neuro-Symbolic Spatio-Temporal Reasoning
Neuro-Symbolic Spatio-Temporal Reasoning Open
Knowledge about space and time is necessary to solve problems in the physical world: An AI agent situated in the physical world and interacting with objects often needs to reason about positions of and relations between objects; and as soo…
View article: Are Smart Homes Adequate for Older Adults with Dementia?
Are Smart Homes Adequate for Older Adults with Dementia? Open
Smart home technologies can enable older adults, including those with dementia, to live more independently in their homes for a longer time. Activity recognition, in combination with anomaly detection, has shown the potential to recognise …
View article: Metrics and Evaluations of Time Series Explanations: An Application in Affect Computing
Metrics and Evaluations of Time Series Explanations: An Application in Affect Computing Open
Explainable artificial intelligence (XAI) has shed light on enormous applications by clarifying why neural models make specific decisions. However, it remains challenging to measure how sensitive XAI solutions are to the explanations of ne…
View article: Open-Source Data Collection and Data Sets for Activity Recognition in Smart Homes
Open-Source Data Collection and Data Sets for Activity Recognition in Smart Homes Open
As research in smart homes and activity recognition is increasing, it is of ever increasing importance to have benchmarks systems and data upon which researchers can compare methods. While synthetic data can be useful for certain method de…
View article: Decision Explanation: Applying Contextual Importance and Contextual Utility in Affect Detection.
Decision Explanation: Applying Contextual Importance and Contextual Utility in Affect Detection. Open
Explainable AI has recently paved the way to justify decisions made by black-box models in various areas. However, a mature body of work in the field of affect detection is still limited. In this work, we evaluate a black-box outcome expla…
View article: Semantic referee: A neural-symbolic framework for enhancing geospatial semantic segmentation
Semantic referee: A neural-symbolic framework for enhancing geospatial semantic segmentation Open
Understanding why machine learning algorithms may fail is usually the task of the human expert that uses domain knowledge and contextual information to discover systematic shortcomings in either the data or the algorithm. In this paper, we…
View article: Designing an Extensible Domain-Specific Web Corpus for “Layfication”
Designing an Extensible Domain-Specific Web Corpus for “Layfication” Open
In the era of data-driven science, corpus-based language technology is an essential part of cyber physical systems. In this chapter, the authors describe the design and the development of an extensible domain-specific web corpus to be used…
View article: Perceiving and acting out of the box.
Perceiving and acting out of the box. Open
This paper discusses potential limitations in learning in au-tonomous robotic systems that integrate several specialized subsystemsworking at different levels of abstraction. If the designers have antici-pated what the system may have to l…
View article: SmartEnv as a network of ontology patterns
SmartEnv as a network of ontology patterns Open
In this article we outline the details of an ontology, called SmartEnv, proposed as a representational model to assist the development process of smart (i.e., sensorized) environments. The SmartEnv ontology is described in terms of its mod…
View article: SmartEnv Ontology in E-care@home
SmartEnv Ontology in E-care@home Open
In this position paper we briefly introduce SmartEnv ontology which relies on SEmantic Sensor Network (SSN) ontology and is used to represent different aspects of smart and sensorized environments. We will also talk about E-carehome projec…
View article: Integrating Ontologies for Context-based Constraint-based Planning
Integrating Ontologies for Context-based Constraint-based Planning Open
We describe an approach for integrating ontologies with a constraint-based planner to compile configuration planning domains based on the current context. We consider two alternative approaches: The first one integrates SPARQL queries dire…
View article: An Ontology-Based Reasoning Framework for Querying Satellite Images for Disaster Monitoring
An Ontology-Based Reasoning Framework for Querying Satellite Images for Disaster Monitoring Open
This paper presents a framework in which satellite images are classified and augmented with additional semantic information to enable queries about what can be found on the map at a particular location, but also about paths that can be tak…
View article: An Ontology-based Context-aware System for Smart Homes: E-care@home
An Ontology-based Context-aware System for Smart Homes: E-care@home Open
Smart home environments have a significant potential to provide for long-term monitoring of users with special needs in order to promote the possibility to age at home. Such environments are typically equipped with a number of heterogeneou…
View article: Exploiting Context and Semantics for UAV Path-finding in an Urban Setting
Exploiting Context and Semantics for UAV Path-finding in an Urban Setting Open
In this paper we propose an ontology pattern that represents paths in a geo-representation model to be used in an aerial path planning processes. This pattern provides semantics related to constraints (i.e., ight forbidden zones) in a path…
View article: Context Recognition in Multiple Occupants Situations : Detecting the Number of Agents in a Smart Home Environment with Simple Sensors
Context Recognition in Multiple Occupants Situations : Detecting the Number of Agents in a Smart Home Environment with Simple Sensors Open
Context-recognition and activity recognition systems in multi-user environments such as smart homes, usually assume to know the number of occupants in the environment. However, being able to count the number of users in the environment is …
View article: Classification and Segmentation of Satellite Orthoimagery Using Convolutional Neural Networks
Classification and Segmentation of Satellite Orthoimagery Using Convolutional Neural Networks Open
The availability of high-resolution remote sensing (HRRS) data has opened up the possibility for new interesting applications, such as per-pixel classification of individual objects in greater detail. This paper shows how a convolutional n…
View article: Interactive Learning with Convolutional Neural Networks for Image Labeling
Interactive Learning with Convolutional Neural Networks for Image Labeling Open
Recently, deep learning models, such as Convolutional Neural Networks, have shown to give good performance for various computer vision tasks. A pre-requisite for such models is to have access to lots of labeled data since the most successf…