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cs.LG2025
Energy Considerations for Large Pretrained Neural Networks
Leo Mei, Mark Stamp
Increasingly complex neural network architectures have achieved phenomenal performance. However, these complex models require massive computational resources that consume substanti…
cs.LG2024
Malware Classification using a Hybrid Hidden Markov Model-Convolutional Neural Network
Ritik Mehta, Olha Jureckova, Mark Stamp
The proliferation of malware variants poses a significant challenges to traditional malware detection approaches, such as signature-based methods, necessitating the development of…