Results 231 to 240 of about 176,906 (321)

A hitchhiker's guide to single‐cell epigenomics: Methods and applications for cancer research

International Journal of Cancer, EarlyView.
Abstract Genetic mutations are well known to influence tumorigenesis, tumor progression, treatment response and relapse, but the role of epigenetic variation in cancer progression is still largely unexplored. The lack of epigenetic understanding in cancer evolution is in part due to the limited availability of methods to examine such a heterogeneous ...
Marta Moreno‐Gonzalez, Isabel Sierra, Jop Kind   +2 more
wiley   +1 more source

Phoneme-Aware Hierarchical Augmentation and Semantic-Aware SpecAugment for Low-Resource Cantonese Speech Recognition. [PDF]

Sensors (Basel)
Zhang L, Wu S, Wang Z.
europepmc   +1 more source

A Learning Model with Memory in the Financial Markets

International Journal of Finance &Economics, EarlyView.
ABSTRACT Learning is central to a financial agent's aspiration to gain persistent strategic advantage in asset value maximisation. The implicit mechanism that transforms this aspiration into an observed value gain is the speed of error corrections (demonstrating, an agent's speed of learning) whilst facing increased uncertainty.
Shikta Singh, Supun Chandrasena, Yue Shi, Abdullah Alhussaini, Claude Diebolt, Martin Enilov, Tapas Mishra   +6 more
wiley   +1 more source

Deep Learning for Bond Yield Forecasting: The LSTM‐LagLasso

International Journal of Finance &Economics, EarlyView.
ABSTRACT We present long short‐term memory (LSTM)‐LagLasso, a novel explainable deep learning approach applied to bond yield forecasting. Our method involves feature selection from a large universe of potential features and forecasts bond yields using dynamic LSTM networks.
Manuel Nunes, Enrico Gerding, Frank McGroarty, Mahesan Niranjan, Georgios Sermpinis   +4 more
wiley   +1 more source

Semantic influences on object detection: Drift diffusion modeling provides insights regarding mechanism. [PDF]

PLoS Comput Biol
Xue J, Wilson RC, Peterson MA.
europepmc   +1 more source

Exploring the potential of AI‐powered applications for clinical decision‐making in gynecologic oncology

International Journal of Gynecology &Obstetrics, EarlyView.
Abstract Objective The rise of artificial intelligence (AI) and large language models like Llama, Gemini, or Generative Pretraining Transformer (GPT) signals a promising new era in natural language processing and has significant potential for application in medical care.
Bastian Meyer, Raphael Kfuri‐Rubens, Georg Schmidt, Maliha Tariq, Caroline Riedel, Florian Recker, Fabian Riedel, Marion Kiechle, Maximilian Riedel   +8 more
wiley   +1 more source

On the equivalence of the static and disjunctive well-founded semantics and its computation

, 2001
Stefan Brass, Jürgen Dix, Ilkka Niemelä, Teodor C. Przymusiński   +3 more
openalex   +1 more source

Using artificial intelligence as a technological tool in gynecologic and obstetric health: A narrative literature review

International Journal of Gynecology &Obstetrics, EarlyView.
Abstract Maternal mortality remains a critical global public health issue, particularly in low‐ and middle‐income settings where failures in surveillance, early diagnosis, and clinical decision making compromise obstetric care. In this context, the present study aimed to critically review the scientific literature on the use of artificial intelligence (
Gustavo Gonçalves dos Santos
wiley   +1 more source

Intelligent text analysis for effective evaluation of english Language teaching based on deep learning. [PDF]

Sci Rep
Ren Y, Fan W, Wang J.
europepmc   +1 more source

Propagation of Roundoff Errors in Finite Precision Computations: A Semantics Approach

, 2002
Matthieu Martel
openalex   +1 more source