Results 131 to 140 of about 975,756 (347)
LEONIDE - Longitudinal Learner Corpus in Italiano, Deutsch and English 1.1
LEONIDE is a longitudinal corpus of student essays documenting the language competences and writing development of lower secondary school students in three different languages.
Nicolas, Lionel +4 more
core +1 more source
AI‐Driven Cancer Multi‐Omics: A Review From the Data Pipeline Perspective
The exponential growth of cancer multi‐omics data brings opportunities and challenges for precision oncology. This review systematically examines AI's role in addressing these challenges, covering generative models, integration architectures, Explainable AI for clinical trust, clinical applications, and key directions for clinical translation.
Shilong Liu, Shunxiang Li, Kun Qian
wiley +1 more source
Lexical bundles in scientific English: A corpus-based study of native and non-native writing [PDF]
[eng] The present dissertation is a corpus-based investigation of the frequency, structure and functions of lexical bundles in published scientific writing in English, whose main objective is the creation of an inventory of the most frequent and ...
Lorenzo Salazar, Danica Joy
core
Artificial intelligence is redefining network pharmacology (NP). By integrating knowledge graph engineering, geometric deep learning, multiomics anchoring, and generative reasoning, AI‐driven NP (AI‐NP) transforms static target mapping into dynamic, predictive modeling.
Cong Wang +9 more
wiley +1 more source
CLIL, learner variables and statistical analysis – What is left when you've done it all?
As more and more Content and Language Integrated Learning (CLIL) programmes are being introduced in schools throughout Europe, Bruton (2011, 523) notes that "[i]t seems to be characteristic of many of the CLIL initiatives in the EU and much of the ...
Möller, Verena, Learner Corpus Research
core
Large Language Model‐Based Chatbots in Higher Education
The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation
Defne Yigci +4 more
wiley +1 more source
Calibration‐Free Electromyography Motor Intent Decoding Using Large‐Scale Supervised Pretraining
Calibration‐free electromyography motor intent decoding is enabled through large‐scale supervised pretraining across heterogeneous datasets. A Spatially Aware Feature‐learning Transformer processes variable channel counts and electrode geometries, allowing transfer across users and recording setups. On a held‐out benchmark, fine‐tuned cross‐user models
Alexander E. Olsson +3 more
wiley +1 more source
Slovene learner corpus KOST 1.0
The corpus of Slovene as a foreign language KOST (Korpus slovenščine kot tujega jezika) contains 6,311 texts (just over 1 million words) written by adult speakers for whom Slovene is not their first language.
Preglau, Daniela +9 more
core
OntoLogX is an autonomous AI agent that uses large language models to transform unstructured cyber security logs into ontology grounded knowledge graphs. By integrating retrieval augmented generation, iterative correction, and a light‐weight log ontology, OntoLogX produces semantically consistent intelligence that links raw log events to MITRE ATT & CK
Luca Cotti +4 more
wiley +1 more source
Learner corpora to cater for learners’ individual needs
Learner corpora, like other corpora, have mostly been used to generalize about whole populations. Yet, they can be exploited for teaching purposes in a more differentiated and inclusive manner, by showing how learners with a specific profile use (or are
Gaëtanelle Gilquin
doaj

