Lape, D.[Deanna]
* 2023: Crowd-Driven Deep Learning Tracks Amazon Deforestation
Lape, N.[Nicole]
* 2020: Apricot: A Dataset of Physical Adversarial Attacks on Object Detection
Lapedes, A.
* 1994: Noise sensitivity signatures for model selection
Lapedriza, A.[Agata]
* 2005: Are External Face Features Useful for Automatic Face Classification?
* 2005: Contribution of External Features to Face Recognition, The
* 2006: Face Verification using External Features
* 2006: Gender Recognition in Non Controlled Environments
* 2007: Hierarchical Approach for Multi-task Logistic Regression, A
* 2008: On the use of independent tasks for face recognition
* 2012: Depth Information in Human Gait Analysis: An Experimental Study on Gender Recognition
* 2013: Robust gait-based gender classification using depth cameras
* 2015: Emotion recognition from mid-level features
* 2016: Learning Deep Features for Discriminative Localization
* 2017: EMOTIC: Emotions in Context Dataset
* 2017: Emotion Recognition in Context
* 2017: Interpreting CNN Models for Apparent Personality Trait Regression
* 2017: Winner takes all hashing for speeding up the training of neural networks in large class problems
* 2018: Places: A 10 Million Image Database for Scene Recognition
* 2020: Context Based Emotion Recognition Using EMOTIC Dataset
* 2020: Detecting Natural Disasters, Damage, and Incidents in the Wild
* 2021: Facial Expressions as a Vulnerability in Face Recognition
* 2021: Learning Emotional-Blinded Face Representations
* 2021: Person Perception Biases Exposed: Revisiting the First Impressions Dataset
* 2022: Interpreting Face Inference Models Using Hierarchical Network Dissection
* 2023: Incidents1M: A Large-Scale Dataset of Images With Natural Disasters, Damage, and Incidents
* 2023: Predicting the Subjective Responses' Emotion in Dialogues with Multi-task Learning
* 2024: Explainable Automatic Detection of Fiber-Cement Roofs in Aerial RGB Images
Includes: Lapedriza, A.[Agata] Lapedriza, À.[Àgata] Lapedriza, A.
24 for Lapedriza, A.
Lapen, D.R.[David R.]
* 2020: Using Artificial Neural Networks and Remotely Sensed Data to Evaluate the Relative Importance of Variables for Prediction of Within-Field Corn and Soybean Yields
Lapenna, V.[Vincenzo]
* 2020: GPR and ERT Investigations in Urban Areas: the Case-Study of Matera (Southern Italy)
Lapenta, V.[Virginia]
* 2022: Laser Scanning Investigation and Geophysical Monitoring to Characterise Cultural Heritage Current State and Threat by Traffic-Induce Vibrations: The Villa Farnesina in Rome
Lapertot, R.[Raphael]
* 2023: Supervised Learning of Hierarchical Image Segmentation
Lapeyronnie, A.[Agnes]
* 2010: Audio-video surveillance system for public transportation