arxiv.org/abs/2401.12673v2
In this paper, we extend the notions of $λ$-cent-dian and generalized-center from Facility Location Theory to the more intricate domain of Network Design. Our focus is on the task of designing a sub-network within a given underlying network while ad...
arxiv.org/abs/2303.16824v2
Spatial association measures for univariate static spatial data are widely used. When the data is in the form of a collection of spatial vectors with the same temporal domain of interest, we construct a measure of similarity between the regions' seri...
arxiv.org/abs/2212.00979v4
Synthetic data offers the promise of cheap and bountiful training data for settings where labeled real-world data is scarce. However, models trained on synthetic data significantly underperform when evaluated on real-world data. In this paper, we pro...
arxiv.org/abs/1803.08538v1
Strong convergence and convergence in probability were generalized to the setting of a Riesz space with conditional expectation operator, $T$, in [{{\sc Y. Azouzi, W.-C. Kuo, K. Ramdane, B. A. Watson}, {Convergence in Riesz spaces with conditional ex...
arxiv.org/abs/1802.10195v1
Whispering gallery mode (WGM) resonators are compelling optical devices, however they are nearly unexplored in the terahertz (THz) domain. In this letter, we report on THz WGMs in quartz glass bubble resonators with sub-wavelength wall thickness. An...
arxiv.org/abs/2405.00523v1
This paper introduces CookingSense, a descriptive collection of knowledge assertions in the culinary domain extracted from various sources, including web data, scientific papers, and recipes, from which knowledge covering a broad range of aspects is...
arxiv.org/abs/2107.12808v2
In this work we create agents that can perform well beyond a single, individual task, that exhibit much wider generalisation of behaviour to a massive, rich space of challenges. We define a universe of tasks within an environment domain and demonstra...
arxiv.org/abs/2410.09380v1
Video Question Answering (VideoQA) represents a crucial intersection between video understanding and language processing, requiring both discriminative unimodal comprehension and sophisticated cross-modal interaction for accurate inference. Despite a...
en.wikipedia.org/wiki/Ionos
Ionos SE ([iː'ɔnɔs]; proper spelling IONOS) is a German Internet service provider that is known for its web hosting, domain and cloud computing products
arxiv.org/abs/2112.13969v1
Despite the success of mixup in data augmentation, its applicability to natural language processing (NLP) tasks has been limited due to the discrete and variable-length nature of natural languages. Recent studies have thus relied on domain-specific h...
www.bing.com/ck/a?!&&p=78f97adfb52ace8c3ceb3306904c9437b5f662f0bfd2d286f81ad515b411693aJmltdHM9MTc3MjE1MDQwMA&ptn=3&ver=2&hsh=4&fclid=2270e152-c6fc-6b5e-2f50-f65fc7ec6aed&u=a1aHR0cHM6Ly93d3cudG9ueS5jb20ubXgvdWJpY2EtdHUtc3VjdXJzYWw&ntb=1
<meta name="facebook-domain-verification" content="4na5oko7pxk4dsuu3sqtnqakaqt2kq" /> Acapulco Caracol No. 1005 Blvd. Vicente Guerrero , Acapulco De Juarez, Guerrero ...
arxiv.org/abs/0911.1048v1
The sociological domain is different from the psychological one insofar as meaning can be communicated at the supra-individual level (Schutz, 1932; Luhmann, 1984). The computation of anticipatory systems enables us to distinguish between these doma...
arxiv.org/abs/2012.12112v2
Recent advancements in Neural Machine Translation (NMT) models have proved to produce a state of the art results on machine translation for low resource Indian languages. This paper describes the neural machine translation systems for the English-Hin...
en.wikipedia.org/wiki/Refaim_Unit
Established in 2019 by IDF Chief of Staff Aviv Kochavi as part of the "Momentum" program, the unit aims to develop multi-domain operations tactics and
arxiv.org/abs/2006.02774v3
We investigate the impact of more realistic room simulation for training far-field keyword spotting systems without fine-tuning on in-domain data. To this end, we study the impact of incorporating the following factors in the room impulse response (R...
arxiv.org/abs/1907.00661v1
The resale price assessment of secondhand jewelry items relies heavily on the individual knowledge and skill of domain experts. In this paper, we propose a methodology for reconstructing an AI system that autonomously assesses the resale prices of se...
arxiv.org/abs/2504.03931v3
This tutorial on adaptation of LLMs is designed to address the growing demand for models that go beyond the static capabilities of generic LLMs by providing an overview of dynamic, domain-specific, and task-adaptive LLM adaptation techniques. While g...
arxiv.org/abs/2301.03421v1
Ensuring fairness is essential for every education system. Machine learning is increasingly supporting the education system and educational data science (EDS) domain, from decision support to educational activities and learning analytics. However, th...
arxiv.org/abs/2005.05432v2
Automating the classification of camera-obtained microscopic images of White Blood Cells (WBCs) and related cell subtypes has assumed importance since it aids the laborious manual process of review and diagnosis. Several State-Of-The-Art (SOTA) metho...
arxiv.org/abs/2410.20140v3
One of the most challenging forms of misinformation involves pairing images with misleading text to create false narratives. Existing AI-driven detection systems often require domain-specific finetuning, limiting generalizability, and offer little in...