42 citations · 48 across the 10 of their papers we have counts for
10 papers
Can Deep Neural Networks Improve Compression of Very Large Scientific Data?
Muhannad Alhumaidi, Guozhong Li, Spiros Skiadopoulos +1
Error-bounded lossy compression is a fundamental technique for managing the rapidly growing volumes of scientific data produced by modern simulations and observational instruments.…
LLMComp: A Language Modeling Paradigm for Error-Bounded Scientific Data Compression (Technical Report)
Guozhong Li, Muhannad Alhumaidi, Spiros Skiadopoulos +1
The rapid growth of high-resolution scientific simulations and observation systems is generating massive spatiotemporal datasets, making efficient, error-bounded compression increa…
GraphComp: Extreme Error-bounded Compression of Scientific Data via Temporal Graph Autoencoders
Guozhong Li, Muhannad Alhumaidi, Spiros Skiadopoulos +2
The generation of voluminous scientific data poses significant challenges for efficient storage, transfer, and analysis. Recently, error-bounded lossy compression methods emerged d…
A Crawler Architecture for Harvesting the Clear, Social, and Dark Web for IoT-Related Cyber-Threat Intelligence
Paris Koloveas, Thanasis Chantzios, Christos Tryfonopoulos +1
The clear, social, and dark web have lately been identified as rich sources of valuable cyber-security information that -given the appropriate tools and methods-may be identified,…
Local Similarity Search on Geolocated Time Series Using Hybrid Indexing
Georgios Chatzigeorgakidis, Dimitrios Skoutas, Kostas Patroumpas +3
Geolocated time series, i.e., time series associated with certain locations, abound in many modern applications. In this paper, we consider hybrid queries for retrieving geolocated…
Local Pair and Bundle Discovery over Co-Evolving Time Series
Georgios Chatzigeorgakidis, Dimitrios Skoutas, Kostas Patroumpas +3
Time series exploration and mining has many applications across several industrial and scientific domains. In this paper, we consider the problem of detecting locally similar pairs…