Cloudy: heterogeneous middleware for in time queries processing. - Pedro Martins 003; Maryam Abbasi; Pedro Furtado 001 (IDEAS, 2013)

Improvements on bicriteria pairwise sequence alignment: algorithms and applications. - Maryam Abbasi; Luís Paquete; Arnaud Liefooghe; Miguel Pinheiro; Pedro Matias 001 (Bioinform., 2013)

AuDy: Automatic Dynamic Least-Weight Balancing for Stream Workloads Scalability. - Pedro Martins 003; Maryam Abbasi; Pedro Furtado 001 (BigData Congress, 2014)

MOSAL: software tools for multiobjective sequence alignment. - Luís Paquete; Pedro Matias 001; Maryam Abbasi; Miguel Pinheiro (Source Code Biol. Medicine, 2014)

AutoScale: Automatic ETL Scale Process. - Pedro Martins 003; Maryam Abbasi; Pedro Furtado 001 (ADBIS (Short Papers and Workshops), 2015)

Local Search for Multiobjective Multiple Sequence Alignment. - Maryam Abbasi; Luís Paquete; Francisco B. Pereira (IWBBIO (2), 2015)

AScale: automatically scaling the ETL+Q process for performance. - Pedro Martins 003; Maryam Abbasi; Pedro Furtado 001 (Int. J. Bus. Process. Integr. Manag., 2015)

AScale: Auto-Scale in and out ETL+Q Framework. - Pedro Martins 003; Maryam Abbasi; Pedro Furtado 001 (BDAS, 2016)

AScale: Big/Small Data ETL and Real-Time Data Freshness. - Pedro Martins 003; Maryam Abbasi; Pedro Furtado 001 (BDAS, 2016)

GISB: A Benchmark for Geographic Map Information Extraction. - Pedro Martins 003; José Cecílio; Maryam Abbasi; Pedro Furtado 001 (BDAS, 2016)

GPII: A Benchmark for Generic Purpose Image Information. - Pedro Martins 003; José Cecílio; Maryam Abbasi; Pedro Furtado 001 (C3S2E, 2016)

Integrating Map-Reduce and Stream-Processing for Efficiency (MRSP). - Pedro Martins 003; Maryam Abbasi; José Cecílio; Pedro Furtado 001 (BDAS, 2017)

Approaches for image segmentation applied to food. - Pedro Martins 003; Igor Cruz; José Cecílio; Maryam Abbasi; Pedro Furtado 001 (Int. J. Appl. Pattern Recognit., 2017)

SINGLE vs. MapReduce vs. Relational: Predicting Query Execution Time. - Maryam Abbasi; Pedro Martins 003; José Cecílio; João Pedro Costa; Pedro Furtado 001 (BDAS, 2018)

Intelligent beacon location and fingerprinting. - Pedro Martins 003; Maryam Abbasi; Filipe Sá; Jose Celiclio; Francisco Morgado; Filipe Caldeira (ANT/EDI40, 2019)

A Study over NoSQL Performance. - Pedro Martins 003; Maryam Abbasi; Filipe Sá (WorldCIST (1), 2019)

End-to-end Deep Reinforcement Learning for Targeted Drug Generation. - Tiago Oliveira Pereira 001; Maryam Abbasi; Bernardete Ribeiro; Joel P. Arrais (ICCBB, 2020)

An Overview of Search and Match Algorithms Complexity and Performance. - Maryam Abbasi; Pedro Martins 003 (IWBBIO, 2020)

Improving bluetooth beacon-based indoor location and fingerprinting. - Pedro Martins 003; Maryam Abbasi; Filipe Sá; José Cecílio; Francisco Morgado; Filipe Caldeira (J. Ambient Intell. Humaniz. Comput., 2020)

Optimizing Recurrent Neural Network Architectures for De Novo Drug Design. - Beatriz P. Santos; Maryam Abbasi; Tiago Pereira 001; Bernardete Ribeiro; Joel P. Arrais (CBMS, 2021)

Multiobjective Reinforcement Learning in Optimized Drug Design. - Maryam Abbasi; Tiago Pereira 001; Beatriz P. Santos; Bernardete Ribeiro; Joel Arrais (ESANN, 2021)

Improvement on Generative Adversarial Network for Targeted Drug Design. - Beatriz P. Santos; Maryam Abbasi; Tiago Pereira 001; Bernardete Ribeiro; Joel Arrais (ESANN, 2021)

ImageAI: Comparison Study on Different Custom Image Recognition Algorithms. - Manuel Martins; David Mota; Francisco Morgado; Cristina Wanzeller; Pedro Martins 003; Maryam Abbasi (WorldCIST (2), 2021)

MongoDB, Couchbase, and CouchDB: A Comparison. - Pedro Martins 003; Francisco Morgado; Cristina Wanzeller; Filipe Sá; Maryam Abbasi (WorldCIST (2), 2021)

NoSQL Comparative Performance Study. - Pedro Martins 003; Paulo Tomé; Cristina Wanzeller; Filipe Sá; Maryam Abbasi (WorldCIST (2), 2021)

Comparing Oracle and PostgreSQL, Performance and Optimization. - Pedro Martins 003; Paulo Tomé; Cristina Wanzeller; Filipe Sá; Maryam Abbasi (WorldCIST (2), 2021)

Optimizing blood-brain barrier permeation through deep reinforcement learning for de novo drug design. - Tiago Pereira 001; Maryam Abbasi; José Luís Oliveira; Bernardete Ribeiro; Joel Arrais (Bioinform., 2021)

Diversity oriented Deep Reinforcement Learning for targeted molecule generation. - Tiago Pereira 001; Maryam Abbasi; Bernardete Ribeiro; Joel P. Arrais (J. Cheminformatics, 2021)

Deep Model for Anticancer Drug Response through Genomic Profiles and Compound Structures. - Filipa G. Carvalho; Maryam Abbasi; Bernardete Ribeiro; Joel P. Arrais (CBMS, 2022)

On Algorand Transaction Fees: Challenges and Mechanism Design. - Maryam Abbasi; Mohammad Hossein Manshaei; Mohammad Ashiqur Rahman; Kemal Akkaya; Murtuza Jadliwala (ICC, 2022)

Deep generative model for therapeutic targets using transcriptomic disease-associated data - USP7 case study. - Tiago Pereira 001; Maryam Abbasi; Rita I. Oliveira; Romina A. Guedes; Jorge A. R. Salvador; Joel P. Arrais (Briefings Bioinform., 2022)

Explainable deep drug-target representations for binding affinity prediction. - Nelson R. C. Monteiro; Carlos J. V. Simões; Henrique V. Ávila; Maryam Abbasi; José Luís Oliveira; Joel P. Arrais (BMC Bioinform., 2022)

BigData oriented to business decision making: a real case study in constructel. - Anthony Martins; Maryam Abbasi; Pedro Martins 003; Filipe Sá (Comput. Math. Organ. Theory, 2022)

Designing optimized drug candidates with Generative Adversarial Network. - Maryam Abbasi; Beatriz P. Santos; Tiago C. Pereira; Raul Sofia; Nelson R. C. Monteiro; Carlos J. V. Simões; Rui M. M. Brito; Bernardete Ribeiro; José Luís Oliveira; Joel P. Arrais (J. Cheminformatics, 2022)

Correction to: Designing optimized drug candidates with Generative Adversarial Network. - Maryam Abbasi; Beatriz P. Santos; Tiago C. Pereira; Raul Sofa; Nelson R. C. Monteiro; Carlos J. V. Simões; Rui M. M. Brito; Bernardete Ribeiro; José Luís Oliveira; Joel P. Arrais (J. Cheminformatics, 2022)

Comparison of Image Processing and Classification Methods for a Better Diet Decision-Making. - Maryam Abbasi; Filipe Cardoso; Pedro Martins 003 (IWBBIO (1), 2023)

Enhancing reinforcement learning for de novo molecular design applying self-attention mechanisms. - Tiago O. Pereira 001; Maryam Abbasi; Joel P. Arrais (Briefings Bioinform., 2023)

FSM-DDTR: End-to-end feedback strategy for multi-objective De Novo drug design using transformers. - Nelson R. C. Monteiro; Tiago Pereira 001; Ana Catarina D. Machado; José Luís Oliveira; Maryam Abbasi; Joel P. Arrais (Comput. Biol. Medicine, 2023)

Artificial intelligence for prediction of biological activities and generation of molecular hits using stereochemical information. - Tiago O. Pereira 001; Maryam Abbasi; Rita I. Oliveira; Romina A. Guedes; Jorge A. R. Salvador; Joel P. Arrais (J. Comput. Aided Mol. Des., 2023)

Navigating the Local Transport Gap: A Comprehensive Development Proposal for a Real-Time Location Service Application. - Pedro Martins 003; André Bastos; Carlos Silva; Luís Pais; Paulo Sousa; Paulo Váz; José Silva; Maryam Abbasi (ANT/EDI40, 2024)

Intelligent Control System for Wood Drying: Scalable Architecture, Predictive Analytics, and Future Enhancements. - Pedro Martins 003; Ricardo Cláudio; Francisco Soares; Jorge Leitão; Paulo Váz; José Silva; Maryam Abbasi (ANT/EDI40, 2024)

Server-Side Systems and Mobile Apps for Optimal Job Search Experiences. - Pedro Martins 003; Henrique Jorge; Manuel Aidos; Rodrigo Cristovam; Paulo Váz; José Silva; Maryam Abbasi (ANT/EDI40, 2024)

Smart Building Control: An Android Application for Enhanced Monitoring and Management in the Internet of Things Era. - Pedro Martins 003; Afonso Ramos; Eduardo Pina; Paulo Váz; José Silva; Maryam Abbasi (ANT/EDI40, 2024)

Predicting drug activity against cancer through genomic profiles and SMILES. - Maryam Abbasi; Filipa G. Carvalho; Bernardete Ribeiro; Joel P. Arrais (Artif. Intell. Medicine, 2024)

Detecting outliers in case-control cohorts for improving deep learning networks on Schizophrenia prediction. - Daniel Martins; Maryam Abbasi; Conceição Egas; Joel P. Arrais (J. Integr. Bioinform., 2024)

Optimizing Database Performance in Complex Event Processing through Indexing Strategies. - Maryam Abbasi; Marco V. Bernardo; Paulo Váz; José Silva; Pedro Martins 003 (Data, 2024)

Revisiting Database Indexing for Parallel and Accelerated Computing: A Comprehensive Study and Novel Approaches. - Maryam Abbasi; Marco V. Bernardo; Paulo Váz; José Silva; Pedro Martins 003 (Inf., 2024)

EFL learners' engagement in online learning context: development and validation of potential measurement inventory. - Maryam Abbasi; Masoumeh Ghamoushi; Zohre Mohammadi Zenouzagh (Univers. Access Inf. Soc., 2024)

Adaptive and Scalable Database Management with Machine Learning Integration: A PostgreSQL Case Study. - Maryam Abbasi; Marco V. Bernardo; Paulo Váz; José Silva; Pedro Martins 003 (Inf., 2024)

Data Privacy and Ethical Considerations in Database Management. - Eduardo Pina; José Ramos; Henrique Jorge; Paulo Váz; José Silva; Cristina Wanzeller; Maryam Abbasi; Pedro Martins 003 (J. Cybersecur. Priv., 2024)

A Novel Deep Learning Framework for Predicting Antimicrobial Peptide Activity Using ProtBert and Neural Networks. - Maryam Abbasi; Verónica Vasconcelos; Edgar M. C. O. S. Vicente; Ana L. M. Santos; Joel P. Arrais (IbPRIA (2), 2025)

ABIET: An explainable transformer for identifying functional groups in biological active molecules. - Tiago O. Pereira 001; Maryam Abbasi; Joel P. Arrais (Comput. Biol. Medicine, 2025)

Performance and Scalability of Data Cleaning and Preprocessing Tools: A Benchmark on Large Real-World Datasets. - Pedro Martins 003; Filipe Cardoso; Paulo Váz; José Silva; Maryam Abbasi (Data, 2025)