Segmentation and Detection of Colorectal Polyps Using Local Polynomial Approximation. - Filipe Condessa; José M. Bioucas-Dias (ICIAR (2), 2012)

Classification with reject option using contextual information. - Filipe Condessa; José M. Bioucas-Dias; Carlos A. Castro; John A. Ozolek; Jelena Kovacevic (ISBI, 2013)

Alternating direction optimization for image segmentation using hidden Markov measure field models. - José M. Bioucas-Dias; Filipe Condessa; Jelena Kovacevic (Image Processing: Algorithms and Systems, 2014)

Supervised hyperspectral image segmentation: A convex formulation using hidden fields. - Filipe Condessa; José M. Bioucas-Dias; Jelena Kovacevic (WHISPERS, 2014)

Unsupervised image segmentation using comparative reasoning and random walks. - Anuva Kulkarni; Filipe Condessa; Jelena Kovacevic (GlobalSIP, 2015)

SegSALSA-STR: A convex formulation to supervised hyperspectral image segmentation using hidden fields and structure tensor regularization. - Filipe Condessa; José M. Bioucas-Dias; Jelena Kovacevic (WHISPERS, 2015)

Robust hyperspectral image classification with rejection fields. - Filipe Condessa; José M. Bioucas-Dias; Jelena Kovacevic (WHISPERS, 2015)

Image Classification with Rejection using Contextual Information. - Filipe Condessa; José M. Bioucas-Dias; Carlos A. Castro; John A. Ozolek; Jelena Kovacevic (CoRR, 2015)

Convex formulation for hyperspectral image classification with superpixels. - Yi Liu 017; Filipe Condessa; José M. Bioucas-Dias; Jun Li 009; Antonio J. Plaza (IGARSS, 2016)

Supervised Hyperspectral Image Classification With Rejection. - Filipe Condessa; José M. Bioucas-Dias; Jelena Kovacevic (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016)

From Ideas to Social Signals: Spatiotemporal Analysis of Social Media Dynamics. - Filipe Condessa; Radu Marculescu (SocialSens@CPSWeek, 2017)

Performance measures for classification systems with rejection. - Filipe Condessa; José M. Bioucas-Dias; Jelena Kovacevic (Pattern Recognit., 2017)

Convex Formulation for Multiband Image Classification With Superpixel-Based Spatial Regularization. - Yi Liu 017; Filipe Condessa; José M. Bioucas-Dias; Jun Li 009; Peijun Du; Antonio Plaza (IEEE Trans. Geosci. Remote. Sens., 2018)

Provably robust deep generative models. - Filipe Condessa; J. Zico Kolter (CoRR, 2020)

Defending Multimodal Fusion Models Against Single-Source Adversaries. - Karren Yang; Wan-Yi Lin; Manash Barman; Filipe Condessa; J. Zico Kolter (CVPR, 2021)

You Only Query Once: Effective Black Box Adversarial Attacks with Minimal Repeated Queries. - Devin Willmott; Anit Kumar Sahu; Fatemeh Sheikholeslami; Filipe Condessa; J. Zico Kolter (CoRR, 2021)

Smooth-Reduce: Leveraging Patches for Improved Certified Robustness. - Ameya Joshi; Minh Pham 005; Minsu Cho; Leonid Boytsov; Filipe Condessa; J. Zico Kolter; Chinmay Hegde (CoRR, 2022)

Leveraging Foundation Models to Improve Lightweight Clients in Federated Learning. - Xidong Wu; Wan-Yi Lin; Devin Willmott; Filipe Condessa; Yufei Huang 001; Zhenzhen Li; Madan Ravi Ganesh (CoRR, 2023)

A Curious Case of Remarkable Resilience to Gradient Attacks via Fully Convolutional and Differentiable Front End with a Skip Connection. - Leonid Boytsov; Ameya Joshi; Filipe Condessa (Trans. Mach. Learn. Res., 2025)