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Veronica

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Presentations (1477)

Cybersecurity and Hacking Threats
Cybersecurity and Hacking Threats
Exploring Advanced Security Devices for Enhanced Network Defense
Exploring Advanced Security Devices for Enhanced Network Defense
Unlocking the Potential of OVN for OPNFV
Unlocking the Potential of OVN for OPNFV
Preventing Cyber-Attacks: Phishing and Social Engineering Awareness
Preventing Cyber-Attacks: Phishing and Social Engineering Awareness
Essential Guide to Protecting Your Computer from Viruses and Removing Them Safely
Essential Guide to Protecting Your Computer from Viruses and Removing Them Safely
Real Options for Expansion and Abandonment in Business
Real Options for Expansion and Abandonment in Business
Scalable and Crash-Tolerant Load Balancing for OpenFlow Controllers
Scalable and Crash-Tolerant Load Balancing for OpenFlow Controllers
Enhancing Antivirus for Network Traffic Scanning
Enhancing Antivirus for Network Traffic Scanning
Unlocking the Potential of CMS Higher Level Trigger Farm in Cloud Computing
Unlocking the Potential of CMS Higher Level Trigger Farm in Cloud Computing
Use Cases and Benefits of HTCondor Annex in Cloud Computing
Use Cases and Benefits of HTCondor Annex in Cloud Computing
Scaling Distributed Machine Learning with the Parameter Server
Scaling Distributed Machine Learning with the Parameter Server
Random Walks and Markov Chains in Data Science Lecture
Random Walks and Markov Chains in Data Science Lecture
Importance of Computer Safety and Practical Tips
Importance of Computer Safety and Practical Tips
Capture The Flag (CTF) Competition Overview and Guidelines
Capture The Flag (CTF) Competition Overview and Guidelines
Getting Started with CASGPU for Machine Learning | AI on Chip Lab
Getting Started with CASGPU for Machine Learning | AI on Chip Lab
Mitigation Methodology for Ground Clutter in GPM Combined Algorithm
Mitigation Methodology for Ground Clutter in GPM Combined Algorithm
Utilizing Python Notebooks for AI Development
Utilizing Python Notebooks for AI Development
Advanced Nuclear Data Research at LLNL
Advanced Nuclear Data Research at LLNL
UltravisionAR Project Progress Report Presentation Slides
UltravisionAR Project Progress Report Presentation Slides
Implementing Neural Network Models using Tensorflow
Implementing Neural Network Models using Tensorflow
TensorFlow: Large-Scale Machine Learning Insights
TensorFlow: Large-Scale Machine Learning Insights
TensorFlow: Basics of Machine Intelligence
TensorFlow: Basics of Machine Intelligence
Achieving Fast and Robust ImageNet Classification with Deep CNNs
Achieving Fast and Robust ImageNet Classification with Deep CNNs
Advanced Phishing Detection Model Using CNN for E-business
Advanced Phishing Detection Model Using CNN for E-business
Innovative Image Recognition Algorithms for Efficient Data Access
Innovative Image Recognition Algorithms for Efficient Data Access
Analyzing Algorithms Beyond Worst-Case Scenarios
Analyzing Algorithms Beyond Worst-Case Scenarios
Enhancing Computing Performance with Approximate Computing Methods
Enhancing Computing Performance with Approximate Computing Methods
Methods for Magnetic Field Estimation in Electromagnetic Analysis
Methods for Magnetic Field Estimation in Electromagnetic Analysis
Decision Trees for Stock Market Forecasting
Decision Trees for Stock Market Forecasting
RNNs, LSTMs, and Gradient Issues in Deep Learning
RNNs, LSTMs, and Gradient Issues in Deep Learning
Recurrent Encoder-Decoder Networks in Time-Varying Predictions
Recurrent Encoder-Decoder Networks in Time-Varying Predictions
Geometric Models in Machine Learning: Understanding Linear & Non-linear Approaches
Geometric Models in Machine Learning: Understanding Linear & Non-linear Approaches
Neural Networks and Activation Functions
Neural Networks and Activation Functions
Classification Using K-Nearest Neighbor and Distance Measures
Classification Using K-Nearest Neighbor and Distance Measures
Kernel Learning with a Million Kernels - Methods and Formulations
Kernel Learning with a Million Kernels - Methods and Formulations
k-Nearest Neighbor (KNN) Classifiers in Machine Learning
k-Nearest Neighbor (KNN) Classifiers in Machine Learning
Multidimensional Gradient Methods in Optimization Theory Overview
Multidimensional Gradient Methods in Optimization Theory Overview
Efficient Parallelization Techniques for K-Nearest Neighbors Algorithm on GPU
Efficient Parallelization Techniques for K-Nearest Neighbors Algorithm on GPU
Gradient Descent
Gradient Descent
Evaluating Robustness of Influence Maximization in Presence of Edge Uncertainty
Evaluating Robustness of Influence Maximization in Presence of Edge Uncertainty