Kaplan, Lance

1. Evidential Deep Learning to Quantify Classification Uncertainty
   2018/06/05 by Murat Şensoy, Lance Kaplan, Sensoy, Murat +3 · 123 citations
   Computer Science · #Adversarial Robustness in Machine Learning #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification
2. Spherical Text Embedding
   2019/11/04 by Meng Yu, Yu Meng, Meng, Yu +12 · 1 voice · 6 citations
   Computer Science · Mathematics · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Natural Language Processing Techniques #Text and Document Classification Technologies #Topic Modeling #cs.CL #cs.LG #stat.ML
3. Uncertainty-Aware Deep Classifiers using Generative Models
   2020/06/07 by Murat Şensoy, Sensoy, Murat, Lance Kaplan +5 · 6 citations
   Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Generative Adversarial Networks and Image Synthesis
4. Automatic Concept Extraction for Concept Bottleneck-based Video Classification
   2022/06/21 by Jeya Vikranth Jeyakumar, Jeyakumar, Jeya Vikranth, Luke Dickens +16 · 4 citations
   Computer Science · #Explainable Artificial Intelligence (XAI) #Machine Learning and Data Classification #Multimodal Machine Learning Applications
5. Prior Activation Distribution (PAD): A Versatile Representation to Utilize DNN Hidden Units
   2019/07/05 by Lakmal Meegahapola, Meegahapola, Lakmal, Vengateswaran Subramaniam +5 · 1 citation
   Computer Science · Engineering · #Adversarial Robustness in Machine Learning #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Fault Detection and Control Systems #Machine Learning (cs.LG) #Machine Learning and Algorithms
6. Uncertainty Aware AI ML: Why and How
   2018/09/20 by Lance Kaplan, Federico Cerutti, Kaplan, Lance +7 · 1 citation
   Computer Science · #AI-based Problem Solving and Planning #Anomaly Detection Techniques and Applications #Artificial Intelligence (cs.AI) #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences
7. A Fundamental Limitation on Maximum Parameter Dimension for Accurate Estimation with Quantized Data
   2016/05/24 by Jiangfan Zhang, Rick S. Blum, Zhang, Jiangfan +5 · 1 citation
   Computer Science · Engineering · #Distributed Sensor Networks and Detection Algorithms #Target Tracking and Data Fusion in Sensor Networks #Fault Detection and Control Systems