1 citations · 1 across the 2 of their papers we have counts for
4 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…
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…