Adaptive spammer detection at the source network. - Pedro Henrique B. Las-Casas; Dorgival O. Guedes; Jussara M. Almeida; Artur Ziviani; Marcos André Gonçalves; Humberto T. Marques-Neto (GLOBECOM, 2013)

SpaDeS: Detecting spammers at the source network. - Pedro Henrique B. Las-Casas; Dorgival O. Guedes; Jussara M. Almeida; Artur Ziviani; Humberto T. Marques-Neto (Comput. Networks, 2013)

A Hadoop Extension to Process Mail Folders and its Application to a Spam Dataset. - Pedro Henrique B. Las-Casas; Vinícius Vitor dos Santos Dias; Renato Ferreira 001; Wagner Meira Jr.; Dorgival O. Guedes (SBAC-PAD (Workshops), 2014)

Neighborhoods or Condominiums: An Analysis of the Origin of Spam Based on the Organization of Autonomous Systems. - Osvaldo L. H. M. Fonseca; Pedro Henrique B. Las-Casas; Elverton C. Fazzion; Dorgival O. Guedes; Wagner Meira Jr.; Cristine Hoepers; Klaus Steding-Jessen; Marcelo H. P. Chaves (SBRC, 2014)

A Spam Traffic Cost Analysis for Network Operators. - Osvaldo L. H. M. Fonseca; Elverton C. Fazzion; Ítalo Cunha; Pedro Henrique B. Las-Casas; Dorgival O. Guedes; Wagner Meira Jr.; Cristine Hoepers; Klaus Steding-Jessen; Marcelo H. P. C. Chaves (SBRC, 2015)

Neighborhoods and bands: an analysis of the origins of spam. - Osvaldo L. H. M. Fonseca; Elverton C. Fazzion; Pedro Henrique B. Las-Casas; Dorgival Olavo Guedes Neto; Wagner Meira Jr.; Cristine Hoepers; Klaus Steding-Jessen; Marcelo H. P. Chaves (J. Internet Serv. Appl., 2015)

A Big Data Architecture for Security Data and Its Application to Phishing Characterization. - Pedro Henrique B. Las-Casas; Vinícius Vitor dos Santos Dias; Wagner Meira Jr.; Dorgival O. Guedes (BigDataSecurity/HPSC/IDS, 2016)

Measuring, Characterizing, and Avoiding Spam Traffic Costs. - Osvaldo L. H. M. Fonseca; Elverton C. Fazzion; Ítalo S. Cunha; Pedro Henrique B. Las-Casas; Dorgival O. Guedes; Wagner Meira Jr.; Cristine Hoepers; Klaus Steding-Jessen; Marcelo H. P. Chaves (IEEE Internet Comput., 2016)

Weighted Sampling of Execution Traces: Capturing More Needles and Less Hay. - Pedro Henrique B. Las-Casas; Jonathan Mace; Dorgival O. Guedes; Rodrigo Fonseca (SoCC, 2018)

Sifter: Scalable Sampling for Distributed Traces, without Feature Engineering. - Pedro Henrique B. Las-Casas; Giorgi Papakerashvili; Vaastav Anand; Jonathan Mace (SoCC, 2019)

PACE-LM: Prompting and Augmentation for Calibrated Confidence Estimation with GPT-4 in Cloud Incident Root Cause Analysis. - Dylan Zhang; Xuchao Zhang; Chetan Bansal; Pedro Henrique B. Las-Casas; Rodrigo Fonseca; Saravan Rajmohan (CoRR, 2023)

Building AI Agents for Autonomous Clouds: Challenges and Design Principles. - Manish Shetty; Yinfang Chen; Gagan Somashekar; Minghua Ma; Yogesh Simmhan; Xuchao Zhang; Jonathan Mace; Dax Vandevoorde; Pedro Henrique B. Las-Casas; Shachee Mishra Gupta; Suman Nath; Chetan Bansal; et al. (SoCC, 2024)

Exploring LLM-Based Agents for Root Cause Analysis. - Devjeet Roy; Xuchao Zhang; Rashi Bhave; Chetan Bansal; Pedro Henrique B. Las-Casas; Rodrigo Fonseca; Saravan Rajmohan (SIGSOFT FSE Companion, 2024)

LM-PACE: Confidence Estimation by Large Language Models for Effective Root Causing of Cloud Incidents. - Dylan Zhang; Xuchao Zhang; Chetan Bansal; Pedro Henrique B. Las-Casas; Rodrigo Fonseca; Saravan Rajmohan (SIGSOFT FSE Companion, 2024)

LLexus: an AI agent system for incident management. - Pedro Henrique B. Las-Casas; Alok Gautum Kumbhare; Rodrigo Fonseca; Sharad Agarwal (ACM SIGOPS Oper. Syst. Rev., 2024)

Automated Service Design with Cerulean (Project Showcase). - Vaastav Anand; Alok Gautam Kumbhare; Celine Irvene; Chetan Bansal; Gagan Somashekar; Jonathan Mace; Pedro Henrique B. Las-Casas; Ricardo Bianchini; Rodrigo Fonseca (AIOps, 2025)

Towards Using Llms for Distributed Trace Comparison (Abstract). - Vaastav Anand; Pedro Henrique B. Las-Casas; Rodrigo Fonseca; Antoine Kaufmann (AIOps, 2025)

Intent-based System Design and Operation. - Vaastav Anand; Yichen Li; Alok Gautam Kumbhare; Celine Irvene; Chetan Bansal; Gagan Somashekar; Jonathan Mace; Pedro Henrique B. Las-Casas; Rodrigo Fonseca (CoRR, 2025)