Search Results for author:
Found 7 papers, 1 papers with code
Efficient argument classification with compact language models and ChatGPT-4 refinements
Argument mining (AM) is defined as the task of automatically identifying and extracting argumentative components (e. g. premises, claims, etc.)
AD-NEV: A Scalable Multi-level Neuroevolution Framework for Multivariate Anomaly Detection
Anomaly detection tools and methods present a key capability in modern cyberphysical and failure prediction systems.
From MNIST to ImageNet and Back: Benchmarking Continual Curriculum Learning
Continual learning (CL) is one of the most promising trends in recent machine learning research.
Context based lemmatizer for Polish language
In computational linguistics, lemmatisation is the algorithmic process of determining the lemma of a word based on its intended meaning.
Retrain or not retrain? -- efficient pruning methods of deep CNN networks
Convolutional neural networks (CNN) play a major role in image processing tasks like image classification, object detection, semantic segmentation.
Ensemble approach for natural language question answering problem
The best models have been selected, studied and compared with each other.
Method for Hybrid Precision Convolutional Neural Network Representation
This invention addresses fixed-point representations of convolutional neural networks (CNN) in integrated circuits.
