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Publication search results
found 2,822 matches
- 2024
- Oliver Kramer:
LLaMA Tunes CMA-ES. ESANN 2024 - John A. Lee, Edouard Couplet, Pierre Lambert, Ludovic Journaux, Dounia Mulders, Cyril de Bodt, Michel Verleysen:
Forget early exaggeration in t-SNE: early hierarchization preserves global structure. ESANN 2024 - Ammar Al-Najjar, István Megyeri, Márk Jelasity:
Adversarial Training without Hard Labels. ESANN 2024 - Alejandro Castellanos Alonso, Antonio M. López, Diego García-Pérez, Diego Álvarez, Juan Carlos Alvarez:
Human Activity Recognition from Thigh and Wrist Accelerometry. ESANN 2024 - Nawal Alqurashi, Yuhua Li, Kirill A. Sidorov, David Marshall:
Decision fusion based multimodal hierarchical method for speech emotion recognition from audio and text. ESANN 2024 - Dina Faneva Andriantsiory, Joseph Ben Geloun, Mustapha Lebbah:
HDBSCAN for 3-rd order tensor. ESANN 2024 - Ferhat Attal, Nicolas Khoury, Yacine Amirat:
Multidimensional CDTW-based features for Parkinson's Disease classification. ESANN 2024 - Thomas Avé
, Matthias Hutsebaut-Buysse, Wei Wei
Online Adaptation of Compressed Models by Pre-Training and Task-Relevant Pruning. ESANN 2024 - Aleksi Avela:
On Fb-score and Cost-Consistency in Evaluation of Imbalanced Classification. ESANN 2024 - Davide Bacciu, Francesco Landolfi:
Generalizing Convolution to Point Clouds. ESANN 2024 - Quinten Van Baelen
Constraints as Alternative Learning Objective in Deep Learning. ESANN 2024 - Dario Balboni, Davide Bacciu:
ADLER - An efficient Hessian-based strategy for adaptive learning rate. ESANN 2024 - Jill Baumann, Oliver Kramer:
Towards Explainable Evolution Strategies with Large Language Models. ESANN 2024 - Dag Björnberg, Morgan Ericsson, Welf Löwe, Jonas Nordqvist:
Unpaired Image-to-Image Translation to Improve Log End Identification. ESANN 2024 - Ignacio Díaz Blanco, José M. Enguita-Gonzalez, Diego García-Pérez, Abel Alberto Cuadrado Vega, Nuria Valdés, Maria Dolores Chiara-Romero:
Analysis of DNA methylation patterns in cancer samples using SOM. ESANN 2024 - Jérémie Bogaert, François-Xavier Standaert:
Does a Reduced Fine-Tuning Surface Impact the Stability of the Explanations of LLMs? ESANN 2024 - Giovanni Bonetta, Davide Zago, Rossella Cancelliere, Mirko Polato, Bernardo Magnini:
Vision Language Models as Policy Learners in Reinforcement Learning Environments. ESANN 2024 - Tassadit Bouadi, Benoît Frénay, Luis Galárraga, Pierre Geurts, Barbara Hammer, Gilles Perrouin:
Trust in Artificial Intelligence: Beyond Interpretability. ESANN 2024 - Antônio de Pádua Braga, Murilo V. F. Menezes, Luiz C. B. Torres:
Learning Kernel Parameters for Support Vector Classification Using Similarity Embeddings. ESANN 2024 - Samuel Branders, Jérôme Paul, Arthur Ooghe, Álvaro Pereira:
Transfer learning to minimize the predictive risk in clinical research. ESANN 2024 - Johannes Brinkrolf
Causes of Rejects in Prototype-based Classification Aleatoric vs. Epistemic Uncertainty. ESANN 2024 - Bruno Casella, Alessio Barbaro Chisari
Federated Learning in a Semi-Supervised Environment for Earth Observation Data. ESANN 2024 - Bruno Casella, Matthias Jakobs, Marco Aldinucci, Sebastian Buschjäger:
Federated Time Series Classification with ROCKET features. ESANN 2024 - Asli Çelik, Oguzhan Urhan, Andrea Cossu, Vincenzo Lomonaco:
Towards Deep Continual Workspace Monitoring: Performance Evaluation of CL Strategies for Object Detection in Working Sites. ESANN 2024 - Abiola Paterne Chokki, Benoît Frénay:
ChatDT: Simplifying Constraint Integration in Decision Trees. ESANN 2024 - Gianluca Coda, Massimo De Gregorio, Antonio Sorgente, Paolo Vanacore:
"Mental Images" driven classification. ESANN 2024 - Sarel Cohen, Manuel Hettich, Philipp Bielefeld, Crispin Schomers, Tobias Friedrich:
Predicting the Closing Cross Auction Results at the NASDAQ Stock Exchange. ESANN 2024 - Sacha Corbugy, Thibaut Septon, Bruno Dumas, Benoît Frénay:
Insight-SNE: Understanding t-SNE Embeddings through Interactive Explanation. ESANN 2024 - Nuno Costa, Filipa S. Barros, João J. G. Lima
Leveraging Physics-Informed Neural Networks as Solar Wind Forecasting Models. ESANN 2024 - Daniel Crowley
SAT Instances Generation Using Graph Variational Autoencoders. ESANN 2024
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