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Chapter and Conference Paper
DAEBI: A Tool for Data Flow and Architecture Explorations of Binary Neural Network Accelerators
Binary Neural Networks (BNNs) are an efficient alternative to traditional neural networks as they use binary weights and activations, leading to significant reductions in memory footprint and computational ene...
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Chapter and Conference Paper
Cascaded Classifier for Pareto-Optimal Accuracy-Cost Trade-Off Using Off-the-Shelf ANNs
Machine-learning classifiers provide high quality of service in classification tasks. Research now targets cost reduction measured in terms of average processing time or energy per solution. Revisiting the con...
