Results 111 to 120 of about 40,461 (309)

Learning Concept Hierarchies from Text Corpora using Formal Concept Analysis

, 2004
Cimiano P, Hotho A, Staab S. Learning Concept Hierarchies from Text Corpora using Formal Concept Analysis. Karlsruhe: Universität Karlsruhe, Institut für Angewandte Informatik und Formale Beschreibungsverfahren (AIFB ...
Staab, Steffen, Hotho, Andreas, Cimiano, Philipp ; https://orcid.org/   +2 more
core  

When Biology Meets Medicine: A Perspective on Foundation Models

Advanced Intelligent Discovery, EarlyView.
Artificial intelligence, and foundation models in particular, are transforming life sciences and medicine. This perspective reviews biological and medical foundation models across scales, highlighting key challenges in data availability, model evaluation, and architectural design.
Kunying Niu, Yuxing Wang, Limin Zou, Jing Huang   +3 more
wiley   +1 more source

Learning Concept Hierarchies from Text Corpora using Formal Concept Anaylsis

, 2005
Cimiano P, Hotho A, Staab S. Learning Concept Hierarchies from Text Corpora using Formal Concept Anaylsis. Journal of Artificial Intelligence Research (JAIR).
Staab, Steffen, Hotho, Andreas, Cimiano, Philipp ; https://orcid.org/   +2 more
core  

AI‐Driven Cancer Multi‐Omics: A Review From the Data Pipeline Perspective

Advanced Intelligent Discovery, EarlyView.
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

Corpora in the translation classroom? No, please, we are students! ‐ Using online resources and corpora in the classroom.

, 2011
Corpora in the translation classroom? No, please, we are students! Using online resources and corpora in the classroom. Corpora, as we all know, can be extremely useful in the classroom.
ZANCA, CESARE
core  

Corpora and the changing society: studies in the evolution of English Studies in corpus linguistics ;, v. 96./ edited by Paula Rautionaho, University of Eastern Finland ; Arja Nurmi, Tampere University ; Juhani Klemola, Tampere University.

, 2020
Based on papers presented at the 39th ICAME conference organized at the University of Tampere, 2018.Includes bibliographical references and index."This book showcases eleven studies dealing with corpora and the changing society.
Nurmi Arja, Klemola Juhani, Rautionaho Paula   +2 more
core  

Artificial Intelligence‐Driven Network Pharmacology: A Methodological Paradigm Shift Bridging Traditional Wisdom and Modern Science

Advanced Intelligent Discovery, EarlyView.
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, Sile Hu, Rigahai Ji, Riguna A, Siqige Hao, Ma Zhuo, Yi‐Hung Chen, Bisihalatu Hu, Ulana Bai, Xigui Hada   +9 more
wiley   +1 more source

Large Language Model‐Based Chatbots in Higher Education

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
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, Merve Eryilmaz, Ail K. Yetisen, Savas Tasoglu, Aydogan Ozcan   +4 more
wiley   +1 more source

CROATIAN ADULT SPOKEN LANGUAGE CORPUS (HrAL)

Fluminensia: Journal for Philological Research, 2016
Interest in spoken-language corpora has increased over the past two decades leading to the development of new corpora and the discovery of new facets of spoken language.
Jelena Kuvač Kraljević, Gordana Hržica   +1 more
doaj  

Calibration‐Free Electromyography Motor Intent Decoding Using Large‐Scale Supervised Pretraining

Advanced Intelligent Systems, EarlyView.
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, Nebojša Maleševic, Anders Björkman, Christian Antfolk   +3 more
wiley   +1 more source