Zobrazeno 1 - 10
of 53
pro vyhledávání: '"Selene Báez"'
Autor:
Rafael E. Cárdenas, Camila Rodríguez-Ortega, Daniel Utreras, Dale L. Forrister, María-José Endara, Simon A. Queenborough, Pablo Alvia, Pablo A. Menéndez-Guerrero, Selene Báez, David A. Donoso
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-15 (2024)
Abstract Over 125 million years of ant-plant interactions have culminated in one of the most intriguing evolutionary outcomes in life history. The myrmecophyte Duroia hirsuta (Rubiaceae) is known for its mutualistic association with the ant Myrmelach
Externí odkaz:
https://doaj.org/article/0e4e1a722da24d50beb352f33630766d
Autor:
Selene Báez, Luis Cayuela, Manuel J. Macía, Esteban Álvarez-Dávila, Amira Apaza-Quevedo, Itziar Arnelas, Natalia Baca-Cortes, Guillermo Bañares de Dios, Marijn Bauters, Celina Ben Saadi, Cecilia Blundo, Marian Cabrera, Felipe Castaño, Leslie Cayola, Julia G. de Aledo, Carlos Iván Espinosa, Belén Fadrique, William Farfán-Rios, Alfredo Fuentes, Claudia Garnica-Díaz, Mailyn González, Diego González, Isabell Hensen, Ana Belén Hurtado, Oswaldo Jadán, Denis Lippok, M. Isabel Loza, Carla Maldonado, Lucio Malizia, Laura Matas-Granados, Jonathan A. Myers, Natalia Norden, Imma Oliveras Menor, Kerstin Pierick, Hirma Ramírez-Angulo, Beatriz Salgado-Negret, Matthias Schleuning, Miles Silman, María Elena Solarte-Cruz, J. Sebastián Tello, Hans Verbeeck, Emilio Vilanova, Greta Weithmann, Jürgen Homeier
Publikováno v:
Scientific Data, Vol 9, Iss 1, Pp 1-9 (2022)
Measurement(s) Bark thickness • Leaf area • Leaf aluminium (Al) content per leaf dry mass • Specific leaf area • Leaf calcium (Ca) content per leaf dry mass • Leaf carbon (C) content per leaf dry mass • Leaf carbon (C) isotope signature (
Externí odkaz:
https://doaj.org/article/37e9cb07526342e39c73c2efc91f842f
We develop an artificial agent motivated to augment its knowledge base beyond its initial training. The agent actively participates in dialogues with other agents, strategically acquiring new information. The agent models its knowledge as an RDF know
Externí odkaz:
http://arxiv.org/abs/2406.19500
Publikováno v:
PLoS ONE, Vol 17, Iss 4 (2022)
Understanding variation in tree functional traits along topographic gradients and through time provides insights into the processes that will shape community composition and determine ecosystem functioning. In montane environments, complex topography
Externí odkaz:
https://doaj.org/article/6a083970e42d4575aa201842ecd62745
Publikováno v:
Mountain Research and Development, Vol 40, Iss 2, Pp D1-D7 (2020)
International sustainable development and conservation agendas can help regional decision makers to frame their own agendas. Agendas can guide programs and initiatives that drive funding and capacity development for research, and the research, in tur
Externí odkaz:
https://doaj.org/article/8d26aa9b50964a699660e3c3f2d679f1
Autor:
Sarah-Lan Mathez-Stiefel, Manuel Peralvo, Selene Báez, Stephan Rist, Wouter Buytaert, Francisco Cuesta, Belén Fadrique, Kenneth J. Feeley, Aaron A. P. Groth, Jürgen Homeier, Luis D. Llambí, Bruno Locatelli, Maria Fernanda López Sandoval, Agustina Malizia, Kenneth R. Young
Publikováno v:
Mountain Research and Development, Vol 37, Iss 3, Pp 323-339 (2017)
The long-term survival of Andean forest landscapes (AFL) and of their capacity to contribute to sustainable development in a context of global change requires integrated adaptation and mitigation responses informed by a thorough understanding of the
Externí odkaz:
https://doaj.org/article/12c47271107046848cddd7719c2a1665
This paper discusses our approaches for task-oriented conversational modelling using subjective knowledge, with a particular emphasis on response generation. Our methodology was shaped by an extensive data analysis that evaluated key factors such as
Externí odkaz:
http://arxiv.org/abs/2308.01080
We present a new method based on episodic Knowledge Graphs (eKGs) for evaluating (multimodal) conversational agents in open domains. This graph is generated by interpreting raw signals during conversation and is able to capture the accumulation of kn
Externí odkaz:
http://arxiv.org/abs/2209.11746
This paper describes our contributions to the Shared Task of the 9th Workshop on Argument Mining (2022). Our approach uses Large Language Models for the task of Argument Quality Prediction. We perform prompt engineering using GPT-3, and also investig
Externí odkaz:
http://arxiv.org/abs/2209.08966
Autor:
Alivanistos, Dimitrios, Santamaría, Selene Báez, Cochez, Michael, Kalo, Jan-Christoph, van Krieken, Emile, Thanapalasingam, Thiviyan
Language Models (LMs) have proven to be useful in various downstream applications, such as summarisation, translation, question answering and text classification. LMs are becoming increasingly important tools in Artificial Intelligence, because of th
Externí odkaz:
http://arxiv.org/abs/2208.11057