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TitleStatusHype
Predicting the Impact of Batch Refactoring Code Smells on Application Resource Consumption0
Predicting two-dimensional spatiotemporal chaotic patterns with optimized high-dimensional hybrid reservoir computing0
Predicting User Experience on Laptops from Hardware Specifications0
Prediction of Cytochrome P450-Mediated Metabolism Using a Combination of QSAR Derived Reactivity and Induced Fit Docking0
Predictive Attractor Models0
PreSto: An In-Storage Data Preprocessing System for Training Recommendation Models0
Pre-Training on Large-Scale Generated Docking Conformations with HelixDock to Unlock the Potential of Protein-ligand Structure Prediction Models0
Privacy-Preserving Online Content Moderation: A Federated Learning Use Case0
PrivFT: Private and Fast Text Classification with Homomorphic Encryption0
ProAI: An Efficient Embedded AI Hardware for Automotive Applications -- a Benchmark Study0
Probabilistic Dalek -- Emulator framework with probabilistic prediction for supernova tomography0
Productive Reproducible Workflows for DNNs: A Case Study for Industrial Defect Detection0
Project and Forget: Solving Large Scale Metric Constrained Problems0
Proof of Quality: A Costless Paradigm for Trustless Generative AI Model Inference on Blockchains0
Protecting Confidentiality, Privacy and Integrity in Collaborative Learning0
ProTrain: Efficient LLM Training via Memory-Aware Techniques0
Providing Meaningful Data Summarizations Using Exemplar-based Clustering in Industry 4.00
Proxy Templates for Inverse Compositional Photometric Bundle Adjustment0
Prune or quantize? Strategy for Pareto-optimally low-cost and accurate CNN0
PTFlash : A deep learning framework for isothermal two-phase equilibrium calculations0
PulseDL-II: A System-on-Chip Neural Network Accelerator for Timing and Energy Extraction of Nuclear Detector Signals0
PupilNet v2.0: Convolutional Neural Networks for CPU based real time Robust Pupil Detection0
Pushbroom Stereo for High-Speed Navigation in Cluttered Environments0
Pushing the Envelope of Low-Bit LLM via Dynamic Error Compensation0
Pushing the Limits of Learning-based Traversability Analysis for Autonomous Driving on CPU0
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