Robust Facial Alignment with Internal Denoising Auto-Encoder. - Decky Aspandi; Oriol Martínez; Federico Sukno; Xavier Binefa (CRV, 2019)

Heatmap-Guided Balanced Deep Convolution Networks for Family Classification in the Wild. - Decky Aspandi; Oriol Martínez; Xavier Binefa (FG, 2019)

Fully End-to-End Composite Recurrent Convolution Network for Deformable Facial Tracking In The Wild. - Decky Aspandi; Oriol Martínez; Federico Sukno; Xavier Binefa (FG, 2019)

Latent-Based Adversarial Neural Networks for Facial Affect Estimations. - Decky Aspandi; Adria Mallol-Ragolta; Björn W. Schuller; Xavier Binefa (FG, 2020)

End-to-end Facial and Physiological Model for Affective Computing and Applications. - Joaquim Comas; Decky Aspandi; Xavier Binefa (FG, 2020)

Adversarial-based neural networks for affect estimations in the wild. - Decky Aspandi; Adria Mallol-Ragolta; Björn W. Schuller; Xavier Binefa (CoRR, 2020)

An Enhanced Adversarial Network with Combined Latent Features for Spatio-temporal Facial Affect Estimation in the Wild. - Decky Aspandi; Federico Sukno; Björn W. Schuller; Xavier Binefa (VISIGRAPP (4: VISAPP), 2021)

Texture Based Classification of High Resolution Remotely Sensed Imagery using Weber Local Descriptor. - Decky Aspandi-Latif; Sally Goldin; Preesan Rakwatin; Kurt Rudahl (CoRR, 2021)

Machine Learning based Lie Detector applied to a Collected and Annotated Dataset. - Nuria Rodriguez-Diaz; Decky Aspandi; Federico Sukno; Xavier Binefa (CoRR, 2021)

Composite recurrent network with internal denoising for facial alignment in still and video images in the wild. - Decky Aspandi; Oriol Martínez; Federico Sukno; Xavier Binefa (Image Vis. Comput., 2021)

Deep spatio-temporal neural network for facial analysis. - Decky Aspandi (2021)

User Interaction Analysis through Contrasting Websites Experience. - Decky Aspandi; Sarah Doosdal; Victor Ülger; Lukas Gillich; Steffen Staab (CoRR, 2022)

Detecting Anomalies within Time Series using Local Neural Transformations. - Tim Schneider; Chen Qiu 001; Marius Kloft; Decky Aspandi-Latif; Steffen Staab; Stephan Mandt; Maja Rudolph (CoRR, 2022)

Robust Recurrent Neural Network to Identify Ship Motion in Open Water with Performance Guarantees - Technical Report. - Daniel Frank; Decky Aspandi-Latif; Michael Muehlebach; Benjamin Unger; Steffen Staab (CoRR, 2022)

Machine Learning-Based Lie Detector Applied to a Novel Annotated Game Dataset. - Nuria Rodriguez-Diaz; Decky Aspandi; Federico M. Sukno; Xavier Binefa (Future Internet, 2022)

ReLiNet: Stable and Explainable Multistep Prediction with Recurrent Linear Parameter Varying Networks. - Alexandra Baier; Decky Aspandi; Steffen Staab (IJCAI, 2023)

Predicting Eye Gaze Location on Websites. - Ciheng Zhang; Decky Aspandi; Steffen Staab (VISIGRAPP (4: VISAPP), 2023)

Audio-Visual Gated-Sequenced Neural Networks for Affect Recognition. - Decky Aspandi; Federico Sukno; Björn W. Schuller; Xavier Binefa (IEEE Trans. Affect. Comput., 2023)

Supplements for "ReLiNet: Stable and Explainable Multistep Prediction with Recurrent Linear Parameter Varying Networks"". - Alexandra Baier; Decky Aspandi; Steffen Staab (DaRUS, 2023)

Deep self-supervised learning with visualisation for automatic gesture recognition. - Fabien Allemand; Alessio Mazzela; Jun Villette; Decky Aspandi; Titus Zaharia (CoRR, 2024)

Multi-Modal interpretable automatic video captioning. - Antoine Hanna-Asaad; Decky Aspandi; Titus Zaharia (CoRR, 2024)