arxiv.org/abs/1801.09103v3
In deep learning, visualization techniques extract the salient patterns exploited by deep networks for image classification, focusing on single images; no effort has been spent in investigating whether these patterns are systematically related to pre...
arxiv.org/abs/2203.16662v3
In this paper, we explore the use of GAN-based few-shot data augmentation as a method to improve few-shot classification performance. We perform an exploration into how a GAN can be fine-tuned for such a task (one of which is in a class-incremental m...
www.bing.com/ck/a?!&&p=e5df0dddfd958b82b8909947c511976bd9a7b3132a1bd80ec7aac084fc22a2f4JmltdHM9MTc3MjQ5NjAwMA&ptn=3&ver=2&hsh=4&fclid=1ccd5247-bfc0-6d5a-166b-4555be0d6c2a&u=a1aHR0cHM6Ly9kYXRhc2NpZW5jZS5zdGFja2V4Y2hhbmdlLmNvbS9xdWVzdGlvbnMvNjUzNDEvZjEtc2NvcmUtdnMtYWNjdXJhY3ktd2hpY2gtbWV0cmljLWlzLW1vcmUtaW1wb3J0YW50&ntb=1
Dec 23, 2019 · I have two multiclass classification models for making predictions (number of classes is three to be precise). One is Keras neural network, other is Gradient Boosted Classifier from Scikit …
github.com/emclaniyi/ML-Precision-Agriculture-Web-App
This web application uses Machine Learning to recommend crop, fertilizer, pesticide and storage process based on various variables. Algorithm used is SVM for multi-classification (⭐ 60)
arxiv.org/abs/2406.19919v2
The symmetry approach to the classification of evolution integrable partial differential equations (see, for example \cite{MikShaSok91}) produces an infinite series of functions, defined in terms of the right hand side, that are conserved densities o...
arxiv.org/abs/1512.03378v1
In order to study AS-regular algebras of dimension 5, we consider dimension 5 graded iterated Ore extensions generated in degree one. We classify the possible degrees of relations and structure of the free resolution for extensions with 3 and 4 gener...
arxiv.org/abs/2311.12284v3
Terrain traversability in unstructured off-road autonomy has traditionally relied on semantic classification, resource-intensive dynamics models, or purely geometry-based methods to predict vehicle-terrain interactions. While inconsequential at low s...
arxiv.org/abs/2510.05189v1
This work introduces a novel methodology for the automatic detection of hallucinations generated during large language model (LLM) inference. The proposed approach is based on a systematic taxonomy and controlled reproduction of diverse hallucination...
en.wikipedia.org/wiki/Platt_scaling
In machine learning, Platt scaling or Platt calibration is a way of transforming the outputs of a classification model into a probability distribution
arxiv.org/abs/2003.04390v4
Meta-learning has been the most common framework for few-shot learning in recent years. It learns the model from collections of few-shot classification tasks, which is believed to have a key advantage of making the training objective consistent with...
arxiv.org/abs/2009.01672v1
Meta learning algorithms have been widely applied in many tasks for efficient learning, such as few-shot image classification and fast reinforcement learning. During meta training, the meta learner develops a common learning strategy, or experience,...
arxiv.org/abs/2004.07919v3
Machine learning-based malware detection is known to be vulnerable to adversarial evasion attacks. The state-of-the-art is that there are no effective defenses against these attacks. As a response to the adversarial malware classification challenge o...
arxiv.org/abs/1904.00247v2
Due to the great growth of motorcycles in the urban fleet and the growth of the study on its behavior and of how this vehicle affects the flow of traffic becomes necessary the development of tools and techniques different from the conventional ones t...
en.wikipedia.org/wiki/Classification_of_swords
term "single-handed sword" or "one-handed sword" was coined to distinguish from "two-handed" or "hand-and-a-half" swords. "Single-handed sword" is used
arxiv.org/abs/2406.07716v1
The purpose of the Insect Detection System for Crop and Plant Health is to keep an eye out for and identify insect infestations in farming areas. By utilizing cutting-edge technology like computer vision and machine learning, the system seeks to iden...
arxiv.org/abs/2508.10545v2
In this paper, we classify hypersurfaces with constant principal curvatures in the four-dimensional Thurston geometry ${\rm Sol_0^4}$ under certain geometric conditions. As an application of the classification result, we give a complete classificatio...
arxiv.org/abs/2008.07481v2
Personal Narratives (PN) - recollections of facts, events, and thoughts from one's own experience - are often used in everyday conversations. So far, PNs have mainly been explored for tasks such as valence prediction or emotion classification (e.g. h...
www.bing.com/ck/a?!&&p=259a52a85c5e11e52e51ec534850828d55d59b01f53dfeb6f60a83d935089fccJmltdHM9MTc3MjQ5NjAwMA&ptn=3&ver=2&hsh=4&fclid=3c1a0443-2a53-6916-33a4-13512b876873&u=a1aHR0cHM6Ly93d3cuYnJpdGFubmljYS5jb20vc2NpZW5jZS9yb2NrLWdlb2xvZ3k&ntb=1
2 days ago · Rock, in geology, naturally occurring and coherent aggregate of one or more minerals. Such aggregates constitute the basic unit of which the solid Earth is composed and typically form …
github.com/phelber/EuroSAT
EuroSAT: Land Use and Land Cover Classification with Sentinel-2 (⭐ 530)
github.com/Olament/DeepMushroom
Image classification of Fungus using ResNet (⭐ 70)