7 citations · 8 across the 4 of their papers we have counts for
6 papers
Channel-Aware Selection of Folded Bloom Filters for Distributed Systems
John Cartmell, Mihaela Cardei, Ionut Cardei
Periodic Bloom-filter transmission can impose substantial overhead in communication-constrained distributed systems. Lossless compression preserves membership behavior but provides…
Entropy-Punctured Bloom Filters for Memory-Efficient Machine Learning
John Cartmell, Mihaela Cardei, Ionut Cardei
Memory-efficient feature representations are increasingly important in machine learning settings where storage, transmission cost, bandwidth, or privacy constraints limit access to…
Minerva: Reinforcement Learning with Verifiable Rewards for Cyber Threat Intelligence LLMs
Md Tanvirul Alam, Aritran Piplai, Ionut Cardei +2
Cyber threat intelligence (CTI) analysts routinely convert noisy, unstructured security artifacts into standardized, automation-ready representations. Although large language model…
Predicting Student Success with Heterogeneous Graph Deep Learning and Machine Learning Models
Anca Muresan, Mihaela Cardei, Ionut Cardei
Early identification of student success is crucial for enabling timely interventions, reducing dropout rates, and promoting on time graduation. In educational settings, AI powered…
Bloom Filter Encoding for Machine Learning
John Cartmell, Mihaela Cardei, Ionut Cardei
We present a method that uses a Bloom filter transform to preprocess data for machine learning. Each sample is encoded into a compact bit-array representation using hash-based enco…
A Mobile Device Prototype Application for the Detection and Prediction of Node Faults in Wireless Sensor Networks
Anthony Marcus, Ionut Cardei, Borko Furht +2
Various implementations of wireless sensor networks (i.e. personal area-, wireless body area- networks) are prone to node and network failures by such characteristics as limited no…