Master’s – Livia

RESEARCH & INNOVATION

THESES

[Seminar] Generative models as queryable world models

[Seminar] Hallucinating RGB Modality for Person Detection Through Privileged Information

Cost optimization of blockchain technology-enabled supply chain system using evolutionary computation approaches: A healthcare case study

Ultrasonic imaging using conditional generative adversarial networks

Smartphone integration of artificial intelligence for automated plagiocephaly diagnosis

Privacy-cost management in smart meters with mutual-information-based reinforcement learning

Modeling of the sintered density in Cu-Al alloy using machine learning approaches

On the evaluation of the carbon dioxide solubility in polymers using gene expression programming

GNN-DES: A new end-to-end dynamic ensemble selection method based on multi-label graph neural network

Negative evidence matters in interpretable histology image classification

Cascaded zoom-in detector for high resolution aerial images

Privileged knowledge distillation for dimensional emotion recognition in the wild

GNN-DES: A new end-to-end dynamic ensemble selection method based on multi-label graph neural network

Distance functions and normalization under stream scenarios

Security relevant methods of Android’s API classification: A machine learning empirical evaluation

Dynamic ensemble algorithm post-selection using hardness-aware oracle

Privileged knowledge distillation for dimensional emotion recognition in the wild

Negative evidence matters in interpretable histology image classification

TCAM: Temporal class activation maps for object localization in weakly-labeled unconstrained videos

Cascaded zoom-in detector for high resolution aerial images

Privileged knowledge distillation for dimensional emotion recognition in the wild

Facial expression analysis using decomposed multiscale spatiotemporal networks

Adversarial grammatical error generation: Application to Persian language

Hybrid deep morpho-temporal framework for oscillometric blood pressure measurement

Harmonizing flows: Unsupervised MR harmonization based on normalizing flows

Mixup-privacy: A simple yet effective approach for privacy-preserving segmentation

An automatic deep learning-based system for screening and management of DME

Determining regional brain growth in premature and mature infants in relation to age at MRI using deep neural networks

Harmonizing flows: Unsupervised MR harmonization based on normalizing flows

Detection and root cause analysis of performance degradation in optical networks using machine learning

Mixup-privacy: A simple yet effective approach for privacy-preserving segmentation

Advancements in MRI-based radiomics and artificial intelligence for prostate cancer: A comprehensive review and future prospects

Learning joint surface reconstruction and segmentation, from brain images to cortical surface parcellation

Active learning for medical image segmentation with stochastic batches

Determining regional brain growth in premature and mature infants in relation to age at MRI using deep neural networks

Towards practical few-shot query sets: Transductive minimum description length inference

Negative evidence matters in interpretable histology image classification

TCAM: Temporal class activation maps for object localization in weakly-labeled unconstrained videos

An automatic deep learning-based system for screening and management of DME

[Seminar] LIVIA’s infrastructure, servers, and services

[Seminar] Data stream mining: going beyond training then testing

[Seminar] Segmentation in echocardiography: is the problem finally solved ?

[Seminar] The Real World Strikes Back – Failures and Biases of Brain Segmentation

[Seminar] Balanced Mixture of SuperNets for Learning the CNN Pooling Architecture (AutoML 2023 paper)

Optimization and design of a flexible droop nose leading edge morphing wing based on a novel black widow optimization (B.W.O.) algorithm—part II

Flow control around the UAS-S45 pitching airfoil using a dynamically morphing leading edge (DMLE): A numerical study

Supervised learning by evolutionary computation tuning: An application to blockchain-based pharmaceutical supply chain cost model

Privacy-preserving adversarial network (PPAN) for continuous non-Gaussian attributes

Predicting the equilibrium solubility of CO2 in alcohols, ketones, and glycol ethers: Application of ensemble learning and deep learning approaches

A multi-task approach for contrastive learning of handwritten signature feature representations

Privacy-preserving person detection using low-resolution infrared cameras

Discriminative sampling of proposals in self-supervised transformers for weakly supervised object localization

Camera alignment and weighted contrastive learning for domain adaptation in video person ReID

OCR-VQGAN: Taming text-within-image generation

CAT: Constrained adversarial training for anatomically-plausible semi-supervised segmentation

Shape-aware joint distribution alignment for cross-domain image segmentation

Multimodal data augmentation for visual-infrared person ReID with corrupted data

The choice of scaling technique matters for classification performance

A multi-task approach for contrastive learning of handwritten signature feature representations

Multiresolution texture analysis of histopathologic images using ecological diversity measures[Formula presented]

Multiscale analysis for improving texture classification

E-BiT: Extended bio-inspired texture descriptor for 2D texture analysis and characterization

Large-margin representation learning for texture classification

Camera alignment and weighted contrastive learning for domain adaptation in video person ReID

Privacy-preserving person detection using low-resolution infrared cameras

TransVLAD: Multi-scale attention-based global descriptors for visual geo-localization

Multimodal data augmentation for visual-infrared person ReID with corrupted data

Discriminative sampling of proposals in self-supervised transformers for weakly supervised object localization

Audio-visual fusion for emotion recognition in the valence-arousal space using joint cross-attention

The good grasp, the bad grasp, and the plateau in tactile-based grasp stability prediction

A novel human-safe robotic gripper: An application of a programmable permanent magnet actuator

Calibrating segmentation networks with margin-based label smoothing

Symmetry structured analysis sparse coding for key frame extraction

TTTFlow: Unsupervised Test-Time Training with Normalizing Flow

Camera alignment and weighted contrastive learning for domain adaptation in video person ReID

CAT: Constrained adversarial training for anatomically-plausible semi-supervised segmentation

Shape-aware joint distribution alignment for cross-domain image segmentation

Forecasting lightpath quality of transmission and implementing uncertainty in the forecast models

Audio-visual fusion for emotion recognition in the valence-arousal space using joint cross-attention