www.bing.com/ck/a?!&&p=9d1d600f782c15953536830db5ddc2c034483bbd5041d792c19511a5b30a468fJmltdHM9MTc3MjQ5NjAwMA&ptn=3&ver=2&hsh=4&fclid=1c350617-9d75-64a7-04ca-11069cb06536&u=a1aHR0cHM6Ly9zY2llbmNlbm90ZXMub3JnL2ludmVydGVicmF0ZXMtZGVmaW5pdGlvbi1leGFtcGxlcy1jaGFyYWN0ZXJpc3RpY3Mv&ntb=1
Sep 13, 2025 · Invertebrates are animals without backbones. Learn their definition, types, characteristics, classification, evolution, and importance.
github.com/aquaMetrics/rict
? R package for River Invertebrate Classification Tool (rict) (⭐ 6)
arxiv.org/abs/2601.14084v1
Vision-language models (VLMs) are increasingly important in medical applications; however, their evaluation in dermatology remains limited by datasets that focus primarily on image-level classification tasks such as lesion recognition. While valuable...
arxiv.org/abs/2507.23001v1
Deep learning models for skin disease classification require large, diverse, and well-annotated datasets. However, such resources are often limited due to privacy concerns, high annotation costs, and insufficient demographic representation. While tex...
en.wikipedia.org/wiki/Psoriasis
PMID 19884985. "Application to Dermatology of International Classification of Disease (ICD-10)". The International League of Dermatological Societies. Archived from
arxiv.org/abs/2105.10477v1
Artificial intelligence (AI) algorithms using deep learning have advanced the classification of skin disease images; however these algorithms have been mostly applied "in silico" and not validated clinically. Most dermatology AI algorithms perform bi...
arxiv.org/abs/1911.10617v2
Transgender individuals (TIs) show brain structural alterations that differ from their biological sex as well as their perceived gender. To substantiate evidence that the brain structure of TIs differs from male and female, we use a combined multivar...
arxiv.org/abs/2005.08640v1
kNN is a very effective Instance based learning method, and it is easy to implement. Due to heterogeneous nature of data, noises from different possible sources are also widespread in nature especially in case of large-scale databases. For noise elim...
arxiv.org/abs/1701.01980v1
In this note we study the Seifert rational homology spheres with two complementary legs, i.e. with a pair of invariants whose fractions add up to one. We give a complete classification of the Seifert manifolds with 3 exceptional fibers and two comple...
arxiv.org/abs/1707.05576v1
We propose a novel method for classifying resume data of job applicants into 27 different job categories using convolutional neural networks. Since resume data is costly and hard to obtain due to its sensitive nature, we use domain adaptation. In par...
arxiv.org/abs/0802.2515v2
We present a medium-resolution optical spectrum of the alleged high-redshift quasar Q0045-3337, taken at the ESO/3.6m telescope. Our observations show that the object is not a quasar but a star of spectral type B. We suggest that the object is eith...
arxiv.org/abs/2302.03952v1
Nearly all practical neural models for classification are trained using cross-entropy loss. Yet this ubiquitous choice is supported by little theoretical or empirical evidence. Recent work (Hui & Belkin, 2020) suggests that training using the (rescal...
github.com/nkicsl/DDR-dataset
A General-purpose High-quality Dataset for Diabetic Retinopathy Classification, Lesion Segmentation and Lesion Detection (⭐ 120)
arxiv.org/abs/2103.15822v1
Manual classification of IT service desk tickets may result in routing of the tickets to the wrong resolution group. Incorrect assignment of IT service desk tickets leads to reassignment of tickets, unnecessary resource utilization and delays the res...
arxiv.org/abs/2510.24124v1
We present the Global Water Classifier (GWC), a supervised, geospatially extensive Machine Learning (ML) classifier trained on Sen2Cor corrected Sentinel-2 surface reflectance data. Using nearly 100 globally distributed inland water bodies, GWC disti...
arxiv.org/abs/1803.11364v1
Deep neural networks (DNNs) trained on large-scale datasets have exhibited significant performance in image classification. Many large-scale datasets are collected from websites, however they tend to contain inaccurate labels that are termed as noisy...
arxiv.org/abs/2309.04184v1
This article analyzes the reception of a novel algorithmic recommendation of documentary films by a panel of moviegoers of the T{ë}nk platform. In order to propose an alternative to recommendations based on a thematic classification, the director or...
github.com/uzaymacar/comparatively-finetuning-bert
Comparatively fine-tuning pretrained BERT models on downstream, text classification tasks with different architectural configurations in PyTorch. (⭐ 126)
arxiv.org/abs/2008.07617v2
There are numerous models of quantum neural networks that have been applied to variegated problems such as image classification, pattern recognition etc.Quantum inspired algorithms have been relevant for quite awhile. More recently, in the NISQ era,...
en.wikipedia.org/wiki/Comparative_economic_systems
Comparative Economic Systems is the sub-classification of economics dealing with the comparative study of different systems of economic organization, such
