activity
20212026
collaborators

6 papers

cs.AI2026

H2: A Dual Hybrid Semantic Data Lake Architecture for Medical Data Harmonization with Human-In-the-Loop verified, LLM Driven Metadata Annotation System

Ioannis N. Tzortzis, Georgia Kapetadimitri, Agapi Davradou +6

Medical data, by its nature, exhibit a high degree of heterogeneity on multiple levels ranging from (a) different modalities like images, text and time series, (b) diverse tabular…

cs.DB2024

Ocean-DC: An analysis ready data cube framework for environmental and climate change monitoring over the port areas

Ioannis Kavouras, Ioannis Rallis, Nikolaos Doulamis +1

The environmental hazards and climate change effects causes serious problems in land and coastal areas. A solution to this problem can be the periodic monitoring over critical area…

cs.AI2024

Multi-scale Intervention Planning based on Generative Design

Ioannis Kavouras, Ioannis Rallis, Emmanuel Sardis +3

The scarcity of green spaces, in urban environments, consists a critical challenge. There are multiple adverse effects, impacting the health and well-being of the citizens. Small s…

cs.CV2024

Learning using privileged information for segmenting tumors on digital mammograms

Ioannis N. Tzortzis, Konstantinos Makantasis, Ioannis Rallis +3

Limited amount of data and data sharing restrictions, due to GDPR compliance, constitute two common factors leading to reduced availability and accessibility when referring to medi…

cs.CV2022

Automatic inspection of cultural monuments using deep and tensor-based learning on hyperspectral imagery

Ioannis N. Tzortzis, Ioannis Rallis, Konstantinos Makantasis +3

In Cultural Heritage, hyperspectral images are commonly used since they provide extended information regarding the optical properties of materials. Thus, the processing of such hig…

cs.CV2021

Evaluating the Usefulness of Unsupervised monitoring in Cultural Heritage Monuments

Charalampos Zafeiropoulos, Ioannis N. Tzortzis, Ioannis Rallis +3

In this paper, we scrutinize the effectiveness of various clustering techniques, investigating their applicability in Cultural Heritage monitoring applications. In the context of t…