Optimized Gauss and Cholesky Algorithms for Using the LMMSE Decoder in MIMO/BLAST Systems with Frequency-Selective Channels - Reduced-Complexity Equalization. - João Carlos Silva 001; Nuno Souto; Francisco Cercas 001; António Rodrigues; Rui Dinis 001; Sérgio M. Jesus (WINSYS, 2006)

Employing the Block Fourier Algorithm for Solving the LMMSE Receiver Equation Under Variable Channel Conditions. - João Carlos Silva 001; Rui Dinis 001; António Rodrigues; Francisco Cercas 001; Nuno Souto; Sérgio M. Jesus (VTC Spring, 2007)

Multi-node Processing for Asymmetrical Communications in Underwater Acoustic Networks. - António Silva 002; Julien Huillery; Sérgio M. Jesus (AINA Workshops, 2009)

Vector Sensor Arrays in Underwater Acoustic Applications. - Paulo Santos 003; Paulo Felisberto; Sérgio M. Jesus (DoCEIS, 2010)

Experimental Results of Underwater Cooperative Source Localization Using a Single Acoustic Vector Sensor. - Paulo Felisberto; Orlando C. Rodríguez; Paulo Santos 003; Emanuel Ey; Sérgio M. Jesus (Sensors, 2013)

Improved direction finding using a maneuverable array of directional sensors. - Houcem Gazzah; Jean Pierre Delmas; Sérgio M. Jesus (ICASSP, 2015)

Time-variant Adaptive Passive Time Reversal Equaliser and a Perspective for Environmental Focusing Method. - Lussac P. Maia; António Silva 002; Sérgio M. Jesus (SENSORNETS, 2015)

Direction-finding arrays of directional sensors for randomly located sources. - Houcem Gazzah; Jean Pierre Delmas; Sérgio M. Jesus (IEEE Trans. Aerosp. Electron. Syst., 2016)

Development and Testing of a Dual Accelerometer Vector Sensor for AUV Acoustic Surveys. - Agni Mantouka; Paulo Felisberto; Paulo Santos 003; Friedrich Zabel; Mário Saleiro; Sérgio M. Jesus; Luís Sebastião (Sensors, 2017)

Environmental Model-Based Time-Reversal Underwater Communications. - Lussac P. Maia; António Silva 002; Sérgio M. Jesus (IEEE Access, 2018)

Wideband and Wide Beam Polyvinylidene Difluoride (PVDF) Acoustic Transducer for Broadband Underwater Communications. - Marcos S. Martins 001; Carlos L. Faria; Tiago Matos; Luís M. Gonçalves; José Cabral; António Silva 002; Sérgio M. Jesus (Sensors, 2019)

Erratum: Martins, M.S., et al. Wideband and Wide Beam Polyvinylidene Difluoride (PVDF) Acoustic Transducer for Broadband Underwater. Sensors 2019, 19, 3991. - Marcos S. Martins 001; Carlos L. Faria; Tiago Matos; Luís M. Gonçalves; José Cabral; António Silva 002; Sérgio M. Jesus (Sensors, 2019)

Numerical Enhancements and Parallel GPU Implementation of a 3D Gaussian Beam Model. - Rogério M. Calazan; Orlando C. Rodríguez; Sérgio M. Jesus (ICCSA (1), 2020)

How can I choose an explainer?: An Application-grounded Evaluation of Post-hoc Explanations. - Sérgio M. Jesus; Catarina G. Belém; Vladimir Balayan; João Bento 002; Pedro Saleiro; Pedro Bizarro; João Gama 001 (FAccT, 2021)

Turning the Tables: Biased, Imbalanced, Dynamic Tabular Datasets for ML Evaluation. - Sérgio M. Jesus; José Pombal; Duarte M. Alves; André Ferreira Cruz; Pedro Saleiro; Rita P. Ribeiro; João Gama 001; Pedro Bizarro (NeurIPS, 2022)

Joint Vector Sensor Beam Steering and Passive Time Reversal for Underwater Acoustic Communications. - Fabricio A. Bozzi; Sérgio M. Jesus (IEEE Access, 2022)

Vector Sensor Steering-Dependent Performance in an Underwater Acoustic Communication Field Experiment. - Fabricio A. Bozzi; Sérgio M. Jesus (Sensors, 2022)

Addressing Bias and Fairness in Machine Learning: A Practical Guide and Hands-on Tutorial. - Rayid Ghani; Kit T. Rodolfa; Pedro Saleiro; Sérgio M. Jesus (KDD, 2023)

A Case Study on Designing Evaluations of ML Explanations with Simulated User Studies. - Ada Martin; Valerie Chen; Sérgio M. Jesus; Pedro Saleiro (CoRR, 2023)

FiFAR: A Fraud Detection Dataset for Learning to Defer. - Jean V. Alves; Diogo Leitão; Sérgio M. Jesus; Marco O. P. Sampaio; Pedro Saleiro; Mário A. T. Figueiredo; Pedro Bizarro (CoRR, 2023)

On the Importance of Application-Grounded Experimental Design for Evaluating Explainable ML Methods. - Kasun Amarasinghe; Kit T. Rodolfa; Sérgio M. Jesus; Valerie Chen; Vladimir Balayan; Pedro Saleiro; Pedro Bizarro; Ameet Talwalkar; Rayid Ghani (AAAI, 2024)

Fair-OBNC: Correcting Label Noise for Fairer Datasets. - Inês Oliveira e Silva; Sérgio M. Jesus; Hugo M. Ferreira; Pedro Saleiro; Inês Sousa; Pedro Bizarro; Carlos Soares (ECAI, 2024)

Aequitas Flow: Streamlining Fair ML Experimentation. - Sérgio M. Jesus; Pedro Saleiro; Inês Oliveira e Silva; Beatriz M. Jorge; Rita P. Ribeiro; João Gama 001; Pedro Bizarro; Rayid Ghani (CoRR, 2024)

Cost-Sensitive Learning to Defer to Multiple Experts with Workload Constraints. - Jean V. Alves; Diogo Leitão; Sérgio M. Jesus; Marco O. P. Sampaio; Javier Liébana; Pedro Saleiro; Mário A. T. Figueiredo; Pedro Bizarro (Trans. Mach. Learn. Res., 2024)