Over 70% of mammal species are in the orders Rodentia, Chiroptera, and Eulipotyphla. Rodentia (40.5%) Chiroptera (22.2%) Eulipotyphla (8.80%) Primates
We give an introduction to the theory of wonderful G-varieties, with many examples when G is simple of type F4. We present results and open problems about these varieties: on their classification, on their isotropy groups, on morphisms between them...
Recent advances in Large Language Models (LLMs) have enabled the development of text-to-SQL models that allow clinicians to query structured data stored in Electronic Health Records (EHRs) using natural language. However, deploying these models for E...
Understanding human skill performance is essential for intelligent assistive systems, with struggle recognition offering a natural cue for identifying user difficulties. While prior work focuses on offline struggle classification and localization, re...
Determining when people are struggling allows for a finer-grained understanding of actions that complements conventional action classification and error detection. Struggle detection, as defined in this paper, is a distinct and important task that ca...
Classification of 12-lead ECGs: the PhysioNet/Computing in Cardiology Challenge 2020 (⭐ 27)
ECG classification from short single lead segments (Computing in Cardiology Challenge 2017 entry) (⭐ 156)
Counter Terrorism using K-Means Clustering, Density Based Clustering and prediction via Naive Bayes Classification. (⭐ 0)
The EDA on Terrorism using ML project leverages machine learning for analyzing and extracting insights from terrorism datasets. It involves preprocessing, visualization, and applying ML algorithms for classification and clustering. The project uncovers pattern…
The rapid growth of open source machine learning (ML) resources, such as models and datasets, has accelerated IR research. However, existing platforms like Hugging Face do not explicitly utilize structured representations, limiting advanced queries a...
In recent years, Transformers, initially developed for language, have been successfully applied to visual tasks. Vision Transformers have been shown to push the state-of-the-art in a wide range of tasks, including image classification, object detecti...
ViLa-MIL: Dual-scale Vision-Language Multiple Instance Learning for Whole Slide Image Classification (CVPR 2024) (⭐ 96)
Incorporating VIsual LAyout Structures for Scientific Text Classification (⭐ 179)
A surface with an involution can be viewed as a $C_2$-space where $C_2$ is the cyclic group of order two. Using the classification of $C_2$-surfaces given by Dugger, we compute the $RO(C_2)$-graded Bredon cohomology of all $C_2$-surfaces in constant...
Accurate skin disease classification is a critical yet challenging task due to high inter-class similarity, intra-class variability, and complex lesion textures. While deep learning-based computer-aided diagnosis (CAD) systems have shown promise in a...
Enhancing plant disease detection from leaf imagery remains a persistent challenge due to scarce labeled data and complex contextual factors. We introduce a transformative two-stage methodology, Mid Point Normalization (MPN) for intelligent image pre...
We analyse the clustering of cosmic voids using a numerical simulation and the main galaxy sample from the Sloan Digital Sky Survey. We take into account the classification of voids into two types that resemble different evolutionary modes: those wit...
Image classification is an enthusiastic research field where large amount of image data is classified into various classes based on their visual contents. Researchers have presented various low-level features-based techniques for classifying images i...
A challenge in marine bioacoustic analysis is the detection of animal signals, like calls, whistles and clicks, for behavioral studies. Manual labeling is too time-consuming to process sufficient data to get reasonable results. Thus, an automatic sol...
Daniel Brinton's classification of 1891 added Matlatzinca and Chichimeca Jonaz to Pimentel's Oto-Pamean group, which had not yet become known by that name