Daniel Acevedo

16 papers and 152 indexed citations i.

About

Daniel Acevedo has authored 16 papers that have received a total of 152 indexed citations. This includes 14 papers in Computer Vision and Pattern Recognition, 2 papers in Cognitive Neuroscience and 2 papers in Media Technology. The topics of these papers are Image and Signal Denoising Methods (6 papers), Advanced Data Compression Techniques (5 papers) and Data Visualization and Analytics (4 papers). Daniel Acevedo is often cited by papers focused on Image and Signal Denoising Methods (6 papers), Advanced Data Compression Techniques (5 papers) and Data Visualization and Analytics (4 papers) and collaborates with scholars based in Argentina, United States and Spain. Daniel Acevedo's co-authors include David H. Laidlaw, Charless C. Fowlkes, Min‐Hyung Choi, Sen Wang and Jürgen P. Schulze and has published in prestigious journals such as Pattern Recognition, Experimental Biology and Medicine and Methods

In The Last Decade

Rankless by CCL
2025