Zoekresultaten - Rokach, Lior

The Clinical Trial Pipeline Reveals the Next Wave of Artificial Intelligence in Healthcare: A Multidimensional Analysis of 8,532 Registered Studies door Rokach, Lior

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PrivGen: Preserving Privacy of Sequences Through Data Generation door Shaked, Sigal, Rokach, Lior

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Lessons Learned from Applying off-the-shelf BERT: There is no Silver Bullet door Makarenkov, Victor, Rokach, Lior

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A Universal Adversarial Policy for Text Classifiers door Maimon, Gallil, Rokach, Lior

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BagStacking: An Integrated Ensemble Learning Approach for Freezing of Gait Detection in Parkinson's Disease door Cohen, Seffi, Rokach, Lior

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Beyond Static Sandboxing: Learned Capability Governance for Autonomous AI Agents door Sidik, Bronislav, Rokach, Lior

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MEMTIER: Tiered Memory Architecture and Retrieval Bottleneck Analysis for Long-Running Autonomous AI Agents door Sidik, Bronislav, Rokach, Lior

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Automatic selection of clustering algorithms using supervised graph embedding door Cohen-Shapira, Noy, Rokach, Lior

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PIVEN: A Deep Neural Network for Prediction Intervals with Specific Value Prediction door Simhayev, Eli, Katz, Gilad, Rokach, Lior

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Approximating Aggregated SQL Queries With LSTM Networks door Regev, Nir, Rokach, Lior, Shabtai, Asaf

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Enhancing Real-World Adversarial Patches through 3D Modeling of Complex Target Scenes door Mathov, Yael, Rokach, Lior, Elovici, Yuval

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Cross Version Defect Prediction with Class Dependency Embeddings door Cohen, Moti, Rokach, Lior, Puzis, Rami

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Silent Killer: A Stealthy, Clean-Label, Black-Box Backdoor Attack door Lederer, Tzvi, Maimon, Gallil, Rokach, Lior

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TemporalGraphLLM: Temporal Graph Neural Networks with Large Language Models for Dynamic Text-Attributed Graphs door Beladev, Moran, Eitan, Or, Katz, Gilad, Rokach, Lior

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Query-Efficient Black-Box Attack Against Sequence-Based Malware Classifiers door Rosenberg, Ishai, Shabtai, Asaf, Elovici, Yuval, Rokach, Lior

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Deep Context-Aware Recommender System Utilizing Sequential Latent Context door Livne, Amit, Unger, Moshe, Shapira, Bracha, Rokach, Lior

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Adversarial Machine Learning Attacks and Defense Methods in the Cyber Security Domain door Rosenberg, Ihai, Shabtai, Asaf, Elovici, Yuval, Rokach, Lior

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Boosting Anomaly Detection Using Unsupervised Diverse Test-Time Augmentation door Cohen, Seffi, Goldshlager, Niv, Rokach, Lior, Shapira, Bracha

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Transfer learning for time series classification using synthetic data generation door Rotem, Yarden, Shimoni, Nathaniel, Rokach, Lior, Shapira, Bracha

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AMFPMC -- An improved method of detecting multiple types of drug-drug interactions using only known drug-drug interactions door Vered, Bar, Shtar, Guy, Rokach, Lior, Shapira, Bracha

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