181 citations · 334 across the 14 of their papers we have counts for
15 papers
TextMineX: Data, Evaluation Framework and Ontology-guided LLM Pipeline for Humanitarian Mine Action
Chenyue Zhou, Gürkan Solmaz, Flavio Cirillo +2
Humanitarian Mine Action (HMA) addresses the challenge of detecting and removing landmines from conflict regions. Much of the life-saving operational knowledge produced by HMA agen…
AgenticIE: An Adaptive Agent for Information Extraction from Complex Regulatory Documents
Gaye Colakoglu, Gürkan Solmaz, Jonathan Fürst
Declaration of Performance (DoP) documents, mandated by EU regulation, specify characteristics of construction products, such as fire resistance and insulation. While this informat…
Problem Solved? Information Extraction Design Space for Layout-Rich Documents using LLMs
Gaye Colakoglu, Gürkan Solmaz, Jonathan Fürst
This paper defines and explores the design space for information extraction (IE) from layout-rich documents using large language models (LLMs). The three core challenges of layout-…
Desk-AId: Humanitarian Aid Desk Assessment with Geospatial AI for Predicting Landmine Areas
Flavio Cirillo, Gürkan Solmaz, Yi-Hsuan Peng +2
The process of clearing areas, namely demining, starts by assessing and prioritizing potential hazardous areas (i.e., desk assessment) to go under thorough investigation of experts…
Label Augmentation with Reinforced Labeling for Weak Supervision
Gürkan Solmaz, Flavio Cirillo, Fabio Maresca +1
Weak supervision (WS) is an alternative to the traditional supervised learning to address the need for ground truth. Data programming is a practical WS approach that allows program…
Design Considerations for Data Daemons: Co-creating Design Futures to Explore Ethical Personal Data Management
Wiebke Toussaint, Alejandra Gomez Ortega, Jered Vroon +6
Mobile applications and online service providers track our virtual and physical behaviour more actively and with a broader scope than ever before. This has given rise to growing co…
Group-In: Group Inference from Wireless Traces of Mobile Devices
Gürkan Solmaz, Jonathan Fürst, Samet Aytaç +1
This paper proposes Group-In, a wireless scanning system to detect static or mobile people groups in indoor or outdoor environments. Group-In collects only wireless traces from the…
A Standard-based Open Source IoT Platform: FIWARE
Flavio Cirillo, Gürkan Solmaz, Everton Luís Berz +3
The ever-increasing acceleration of technology evolution in all fields is rapidly changing the architectures of data-driven systems towards the Internet-of-Things concept. Many gen…
CrowdEstimator: Approximating Crowd Sizes with Multi-modal Data for Internet-of-Things Services
Fang-Jing Wu, Gürkan Solmaz
Crowd mobility has been paid attention for the Internet-of-things (IoT) applications. This paper addresses the crowd estimation problem and builds an IoT service to share the crowd…
Toward Understanding Crowd Mobility in Smart Cities through the Internet of Things
Gürkan Solmaz, Fang-Jing Wu, Flavio Cirillo +5
Understanding crowd mobility behaviors would be a key enabler for crowd management in smart cities, benefiting various sectors such as public safety, tourism and transportation. Th…
Fog Function: Serverless Fog Computing for Data Intensive IoT Services
Bin Cheng, Jonathan Fürst, Gurkan Solmaz +1
Fog computing can support IoT services with fast response time and low bandwidth usage by moving computation from the cloud to edge devices. However, existing fog computing framewo…
We Hear Your Activities through Wi-Fi Signals
Fang-Jing Wu, Gürkan Solmaz
In this paper we focus on the problem of human activity recognition without identification of the individuals in a scene. We consider using Wi-Fi signals to detect certain human mo…
Together or Alone: Detecting Group Mobility with Wireless Fingerprints
Gürkan Solmaz, Fang-Jing Wu
This paper proposes a novel approach for detecting groups of people that walk "together" (group mobility) as well as the people who walk "alone" (individual movements) using wirele…
Are You in the Line? RSSI-based Queue Detection in Crowds
Fang-Jing Wu, Gürkan Solmaz
Crowd behaviour analytics focuses on behavioural characteristics of groups of people instead of individuals' activities. This work considers human queuing behaviour which is a spec…
Internet of Things Applications: Animal Monitoring with Unmanned Aerial Vehicle
Jun Xu, Gurkan Solmaz, Rouhollah Rahmatizadeh +2
In animal monitoring applications, both animal detection and their movement prediction are major tasks. While a variety of animal monitoring strategies exist, most of them rely on…