github.com/aitomatic/openssa
aitomatic/openssa
OpenSSA: Small Specialist Agents based on Domain-Aware Neurosymbolic Agent (DANA) architecture for industrial problem-solving (⭐ 323)
arxiv.org/abs/2510.07784v1
PLUM: Adapting Pre-trained Language Models for Industrial-scale Generative Recom…
Large Language Models (LLMs) pose a new paradigm of modeling and computation for information tasks. Recommendation systems are a critical application domain poised to benefit significantly from the sequence modeling capabilities and world knowledge i...
github.com/asc-lab/better-code-with-ddd
asc-lab/better-code-with-ddd
This repository contains code that accompanies presentation ASC LAB team gave at meetup about “Creating better code with Domain Driven Design”. (⭐ 320)
arxiv.org/abs/2309.08027v1
Comparative Assessment of Markov Models and Recurrent Neural Networks for Jazz M…
As generative models have risen in popularity, a domain that has risen alongside is generative models for music. Our study aims to compare the performance of a simple Markov chain model and a recurrent neural network (RNN) model, two popular models f...
en.wikipedia.org/wiki/Kumamoto_%28disambiguation%29
Kumamoto (disambiguation) - Wikipedia
of Japan Kumamoto Domain, a historical region in Japan Kumamoto Station, a station in Kumamoto City Kumamoto Airport, an airport in Kumamoto Prefecture
arxiv.org/abs/2207.00431v1
Stain Isolation-based Guidance for Improved Stain Translation
Unsupervised and unpaired domain translation using generative adversarial neural networks, and more precisely CycleGAN, is state of the art for the stain translation of histopathology images. It often, however, suffers from the presence of cycle-cons...
arxiv.org/abs/2210.09798v1
HistoStarGAN: A Unified Approach to Stain Normalisation, Stain Transfer and Stai…
Virtual stain transfer is a promising area of research in Computational Pathology, which has a great potential to alleviate important limitations when applying deeplearningbased solutions such as lack of annotations and sensitivity to a domain shift....
github.com/ricokaloklo/GeneralizedSasakiNakamura.jl
ricokaloklo/GeneralizedSasakiNakamura.jl
Computing solutions to the frequency-domain radial Teukolsky equation with the Generalized Sasaki-Nakamura (GSN) formalism in julia (⭐ 20)
arxiv.org/abs/2504.14822v2
Completing A Systematic Review in Hours instead of Months with Interactive AI Ag…
Systematic reviews (SRs) are vital for evidence-based practice in high stakes disciplines, such as healthcare, but are often impeded by intensive labors and lengthy processes that can take months to complete. Due to the high demand for domain experti...
arxiv.org/abs/2311.01185v1
Revolutionizing Healthcare Image Analysis in Pandemic-Based Fog-Cloud Computing…
The emergence of pandemics has significantly emphasized the need for effective solutions in healthcare data analysis. One particular challenge in this domain is the manual examination of medical images, such as X-rays and CT scans. This process is ti...
arxiv.org/abs/2407.04922v1
Revolutionizing Alloy Microstructure Segmentation through SAM and Domain Knowled…
Fundamental models, trained on large-scale datasets and adapted to new data using innovative learning methods, have revolutionized various fields. In materials science, microstructure image segmentation plays a pivotal role in understanding alloy pro...
github.com/nescitus/publius
nescitus/publius
Public domain didactic chess engine (⭐ 8)
arxiv.org/abs/1312.6190v2
Adaptive Feature Ranking for Unsupervised Transfer Learning
Transfer Learning is concerned with the application of knowledge gained from solving a problem to a different but related problem domain. In this paper, we propose a method and efficient algorithm for ranking and selecting representations from a Rest...
arxiv.org/abs/2505.10950v1
Shackled Dancing: A Bit-Locked Diffusion Algorithm for Lossless and Controllable…
Data steganography aims to conceal information within visual content, yet existing spatial- and frequency-domain approaches suffer from trade-offs between security, capacity, and perceptual quality. Recent advances in generative models, particularly...
www.reddit.com/r/AZURE/comments/1paf900/microsoft_entra_kerberos_authentication_for/
Microsoft Entra Kerberos authentication for Cloud-only Identities on Azure Files…
? It is here. Microsoft Entra Kerberos authentication for cloud only identities on Azure Files SMB is now available in preview. This makes it possible to access Azure Files without any domain contr...
www.bing.com/ck/a?!&&p=492c2e3999dfe4f1f82ccf390db071bb3441bb5333b3af5020eed2c531ebfdd8JmltdHM9MTc3MjU4MjQwMA&ptn=3&ver=2&hsh=4&fclid=1f0534a9-37b2-690d-32a7-23ba36d368b1&u=a1aHR0cHM6Ly93d3cuY2lwbGEuY29tL2NhcmVlcnM&ntb=1
Careers | Cipla
They are found corresponding through fake letterheads and bogus mail addresses of @cipla.com domain name, making job offers and appointment letters using the details of Cipla India.
arxiv.org/abs/2401.10337v4
Noise Contrastive Estimation-based Matching Framework for Low-Resource Security…
Tactics, Techniques and Procedures (TTPs) represent sophisticated attack patterns in the cybersecurity domain, described encyclopedically in textual knowledge bases. Identifying TTPs in cybersecurity writing, often called TTP mapping, is an important...
www.bing.com/ck/a?!&&p=6f4a19be992c04fd371ad807703520452d6a76c695112681405c736b846f61d2JmltdHM9MTc3MjU4MjQwMA&ptn=3&ver=2&hsh=4&fclid=21f62efe-5317-69e7-3ada-39ec5219689a&u=a1aHR0cHM6Ly9yb2Jpbmhvb2QuY29tL3NpZ251cC9sb2dpbg&ntb=1
Commission-free Stock Trading & Investing App | Robinhood
app.usercentrics.eu cross-domain bridge
arxiv.org/abs/2303.09547v5
On Steiner Symmetrizations for First Exit Time Distributions
Let $A_t$ be an $α$-stable symmetric process, $0<α\leq 2$, on $\mathbb{R}^d$ and $D\subset \mathbb{R}^d$ be a bounded domain. This paper presents a proof, based on the classical Brascamp-Lieb-Luttinger inequalities for multiple integrals, that the...
arxiv.org/abs/2003.12299v2
CurlingNet: Compositional Learning between Images and Text for Fashion IQ Data
We present an approach named CurlingNet that can measure the semantic distance of composition of image-text embedding. In order to learn an effective image-text composition for the data in the fashion domain, our model proposes two key components as...