Active cooperative perception in network robot systems using POMDPs. - Matthijs T. J. Spaan; Tiago Veiga; Pedro U. Lima (IROS, 2010)

Point-Based POMDP Solving with Factored Value Function Approximation. - Tiago Veiga; Matthijs T. J. Spaan; Pedro U. Lima (AAAI, 2014)

Improving Value Function Approximation in Factored POMDPs by Exploiting Model Structure. - Tiago S. Veiga; Matthijs T. J. Spaan; Pedro U. Lima (AAMAS, 2015)

Decision-theoretic planning under uncertainty with information rewards for active cooperative perception. - Matthijs T. J. Spaan; Tiago S. Veiga; Pedro U. Lima (Auton. Agents Multi Agent Syst., 2015)

Efficient object search for mobile robots in dynamic environments: Semantic map as an input for the decision maker. - Tiago S. Veiga; Pedro Miraldo; Rodrigo Ventura 001; Pedro U. Lima (IROS, 2016)

Decision-theoretic planning under uncertainty for multimodal human-robot interaction. - João A. Garcia; Pedro U. Lima; Tiago Veiga (RO-MAN, 2017)

A Hierarchical Approach to Active Semantic Mapping Using Probabilistic Logic and Information Reward POMDPs. - Tiago S. Veiga; Miguel Silva; Rodrigo Ventura 001; Pedro U. Lima (ICAPS, 2019)

SocRob@Home - Integrating AI Components in a Domestic Robot System. - Pedro U. Lima; Carlos Azevedo; Emilia Brzozowska; João Cartucho; Tiago J. Dias; João Gonçalves; Mithun Kinarullathil; Guilherme Lawless; Oscar Lima; Rute Luz; Pedro Miraldo; Enrico Piazza; et al. (Künstliche Intell., 2019)

On the Use of Air Quality Microsensors for Supporting Decision Makers. - Kerstin Bach; Sigmund Akselsen; Tiago Veiga; Ilias Kalamaras (IOT Companion, 2020)

A Unified Decision-Theoretic Model for Information Gathering and Communication Planning. - Jennifer Renoux; Tiago S. Veiga; Pedro U. Lima; Matthijs T. J. Spaan (RO-MAN, 2020)

Blind Calibration of Air Quality Wireless Sensor Networks Using Deep Neural Networks. - Tiago Veiga; Erling Ljunggren; Kerstin Bach; Sigmund Akselsen (COINS, 2021)

From a Low-Cost Air Quality Sensor Network to Decision Support Services: Steps towards Data Calibration and Service Development. - Tiago Veiga; Arne Munch-Ellingsen; Christoforos Papastergiopoulos; Dimitrios Tzovaras; Ilias Kalamaras; Kerstin Bach; Konstantinos Votis; Sigmund Akselsen (Sensors, 2021)

Learning attention models for resource-constrained, self-adaptive visual sensing applications. - Hafiz Areeb Asad; Frank Alexander Kraemer; Kerstin Bach; Christian Renner; Tiago Santos Veiga (RACS, 2022)

Container-Based IoT Architectures: Use Case for Visual Person Counting. - Tiago Veiga; Hafiz Areeb Asad; Frank Alexander Kraemer; Kerstin Bach (NAIS, 2023)

From Reactive to Active Sensing: A Survey on Information Gathering in Decision-theoretic Planning. - Tiago Veiga; Jennifer Renoux (ACM Comput. Surv., 2023)

Towards containerized, reuse-oriented AI deployment platforms for cognitive IoT applications. - Tiago Veiga; Hafiz Areeb Asad; Frank Alexander Kraemer; Kerstin Bach (Future Gener. Comput. Syst., 2023)

plain X - AI Supported Multilingual Video Workflow Platform. - Carlos Amaral; Catarina Lagrifa; Mirko Lorenz; Peggy van der Kreeft; Tiago Veiga (PROPOR (2), 2024)