Applied Learning Methods

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2024

Comparative Analysis of Reasoning Capabilities in Foundation Models

IEEE 2nd International Conference on Foundation and Large Language Models (FLLM 2024)

J. de Curtò, and I. de Zarzà

2022

The Holistic Perspective of the INCISIVE Project—Artificial Intelligence in Screening Mammography

Applied Sciences

F. Agulló, S. Auso, B. Alves, C. Barelle, I. Lazic, J L. Berral, P. Bizopoulos, O. Bunduc, I. Chouvarda, D. Dominguez, D. Filos, A. Gutierrez-Torre, I. Hesso, N. Jakovljevic, and et. al.
TunaOil: A Tuning Algorithm Strategy for Reservoir Simulation Workloads

Journal of Computational Science

F. Portella, D. Buchaca, J. Roberto Rodrigues, and J L. Berral

2021

Automatic Distributed Deep Learning Using Resource-Constrained Edge Devices

IEEE Internet of Things Journal

A. Gutierrez-Torre, K. Bahadori, S-ur-R. Baig, W. Iqbal, T. Vardanega, J L. Berral, and D. Carrera

2020

Proactive Container Auto-scaling for Cloud Native Machine Learning Services

IEEE International Conference on Cloud Computing, CLOUD

D. Buchaca, J L. Berral, C. Wang, and A. Youssef
AI4DL: Mining Behaviors of Deep Learning Workloads for Resource Management

12th USENIX Workshop on Hot Topics in Cloud Computing (HotCloud 20)

J L. Berral, C. Wang, and A. Youssef
Burst-Aware Predictive Autoscaling for Containerized Microservices

IEEE Transactions on Services Computing

M. Abdullah, W. Iqbal, J L. Berral, J. Polo, and D. Carrera
You Only Run Once: Spark Auto-tuning from a Single Run

IEEE Transaction on Networks and Systems Management

D. Buchaca, F. Portella, C. Costa, and J L. Berral
Sequence-to-sequence models for workload interference prediction on batch processing datacenters

Future Generation Computer Systems

D. Buchaca, J. Marcual, J L. Berral, and D. Carrera
Improving maritime traffic emission estimations on missing data with CRBMs

Engineering Applications of Artificial Intelligence

A. Gutierrez-Torre, J L. Berral, D. Buchaca, M. Guevara, A. Soret, and D. Carrera

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