Maryam Abbasi

61 papers B 4C 1Journal 29Unranked 27
YearRankTypeTitle / Venue / Authors
2026 J jnl
Performance Comparison of Python-Based Complex Event Processing Engines for IoT Intrusion Detection: Faust Versus Streamz.
Comput.
Maryam Abbasi, Filipe Cardoso, Paulo Váz, José Silva, Filipe Sá, Pedro Martins
2026 J jnl
Unified Data Governance in Heterogeneous Database Environments: An API-Driven Architecture for Multi-Platform Policy Enforcement.
Data
Maryam Abbasi, Paulo Váz, José Silva, Filipe Cardoso, Filipe Sá, Pedro Martins
2025 — conf
A Novel Deep Learning Framework for Predicting Antimicrobial Peptide Activity Using ProtBert and Neural Networks.
IbPRIA (2)
Maryam Abbasi, Verónica Vasconcelos, Edgar M. C. O. S. Vicente, Ana L. M. Santos, Joel P. Arrais
2025 J jnl
A Practical Performance Benchmark of Post-Quantum Cryptography Across Heterogeneous Computing Environments.
Cryptogr.
Maryam Abbasi, Filipe Cardoso, Paulo Váz, José Silva, Pedro Martins
2025 J jnl
ABIET: An explainable transformer for identifying functional groups in biological active molecules.
Comput. Biol. Medicine
Tiago O. Pereira, Maryam Abbasi, Joel P. Arrais
2025 — conf
Attention-Based Transfer Learning for Multi-modal EEG and Eye Tracking in Brain-Computer Interfaces.
HCI (70)
Maryam Abbasi, Sónia Brito-Costa, Ana Rita Teixeira, Pedro Martins
2025 J jnl
Comparative accuracy of artificial intelligence versus manual interpretation in detecting pulmonary hypertension across chest imaging modalities: a diagnostic test accuracy meta-analysis.
Frontiers Artif. Intell.
Faizan Ahmed, Faseeh Haider, Ramsha Ali, Muhammad Arham, Yusra Junaid, Allah Dad, Kinza Bakht, Maryam Abbasi, Bareera Tanveer Malik, Abdul Mateen, Najam Gohar, Rubiya Ali, Yasar Sattar, Mushood Ahmed, Mohamed Bakr, Swapnil Patel, Jesús Almendral, Fawaz Alenezi
2025 — conf
Enhancing Drug-Target Interaction Prediction: A Deep Learning Approach with Embedding-Based Representations.
IWBBIO (1)
Maryam Abbasi, Paulo Váz, José Silva, Pedro Martins
2025 — conf
Integrated In Silico Pipeline for Validating AI-Generated Ligands: From Docking Consensus to Molecular Dynamics.
IWBBIO (1)
Maryam Abbasi, Paulo Váz, José Silva, Pedro Martins
2025 J jnl
Integrating AI and genomics: predictive CNN models for schizophrenia phenotypes.
J. Integr. Bioinform.
Guilherme Henriques, Maryam Abbasi, Daniel Martins, Joel P. Arrais
2025 J jnl
Performance and Scalability of Data Cleaning and Preprocessing Tools: A Benchmark on Large Real-World Datasets.
Data
Pedro Martins, Filipe Cardoso, Paulo Váz, José Silva, Maryam Abbasi
2024 J jnl
Adaptive and Scalable Database Management with Machine Learning Integration: A PostgreSQL Case Study.
Inf.
Maryam Abbasi, Marco V. Bernardo, Paulo Váz, José Silva, Pedro Martins
2024 J jnl
Data Privacy and Ethical Considerations in Database Management.
J. Cybersecur. Priv.
Eduardo Pina, José Ramos, Henrique Jorge, Paulo Váz, José Silva, Cristina Wanzeller, Maryam Abbasi, Pedro Martins
2024 J jnl
Detecting outliers in case-control cohorts for improving deep learning networks on Schizophrenia prediction.
J. Integr. Bioinform.
Daniel Martins, Maryam Abbasi, Conceição Egas, Joel P. Arrais
2024 J jnl
EFL learners' engagement in online learning context: development and validation of potential measurement inventory.
Univers. Access Inf. Soc.
Maryam Abbasi, Masoumeh Ghamoushi, Zohre Mohammadi Zenouzagh
2024 — conf
Intelligent Control System for Wood Drying: Scalable Architecture, Predictive Analytics, and Future Enhancements.
ANT/EDI40
Pedro Martins, Ricardo Cláudio, Francisco Soares, Jorge Leitão, Paulo Váz, José Silva, Maryam Abbasi
2024 — conf
Navigating the Local Transport Gap: A Comprehensive Development Proposal for a Real-Time Location Service Application.
ANT/EDI40
Pedro Martins, André Bastos, Carlos Silva, Luís Pais, Paulo Sousa, Paulo Váz, José Silva, Maryam Abbasi
2024 J jnl
Optimizing Database Performance in Complex Event Processing through Indexing Strategies.
Data
Maryam Abbasi, Marco V. Bernardo, Paulo Váz, José Silva, Pedro Martins
2024 J jnl
Predicting drug activity against cancer through genomic profiles and SMILES.
Artif. Intell. Medicine
Maryam Abbasi, Filipa G. Carvalho, Bernardete Ribeiro, Joel P. Arrais
2024 J jnl
Revisiting Database Indexing for Parallel and Accelerated Computing: A Comprehensive Study and Novel Approaches.
Inf.
Maryam Abbasi, Marco V. Bernardo, Paulo Váz, José Silva, Pedro Martins
2024 — conf
Server-Side Systems and Mobile Apps for Optimal Job Search Experiences.
ANT/EDI40
Pedro Martins, Henrique Jorge, Manuel Aidos, Rodrigo Cristovam, Paulo Váz, José Silva, Maryam Abbasi
2024 — conf
Smart Building Control: An Android Application for Enhanced Monitoring and Management in the Internet of Things Era.
ANT/EDI40
Pedro Martins, Afonso Ramos, Eduardo Pina, Paulo Váz, José Silva, Maryam Abbasi
2023 J jnl
Artificial intelligence for prediction of biological activities and generation of molecular hits using stereochemical information.
J. Comput. Aided Mol. Des.
Tiago O. Pereira, Maryam Abbasi, Rita I. Oliveira, Romina A. Guedes, Jorge A. R. Salvador, Joel P. Arrais
2023 — conf
Comparison of Image Processing and Classification Methods for a Better Diet Decision-Making.
IWBBIO (1)
Maryam Abbasi, Filipe Cardoso, Pedro Martins
2023 J jnl
Enhancing reinforcement learning for
Briefings Bioinform.
Tiago O. Pereira, Maryam Abbasi, Joel P. Arrais
2023 J jnl
FSM-DDTR: End-to-end feedback strategy for multi-objective
Comput. Biol. Medicine
Nelson R. C. Monteiro, Tiago Pereira, Ana Catarina D. Machado, José Luís Oliveira, Maryam Abbasi, Joel P. Arrais
2022 J jnl
BigData oriented to business decision making: a real case study in constructel.
Comput. Math. Organ. Theory
Anthony Martins, Maryam Abbasi, Pedro Martins, Filipe Sá
2022 J jnl
Correction to: Designing optimized drug candidates with Generative Adversarial Network.
J. Cheminformatics
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
2022 B conf
Deep Model for Anticancer Drug Response through Genomic Profiles and Compound Structures.
CBMS
Filipa G. Carvalho, Maryam Abbasi, Bernardete Ribeiro, Joel P. Arrais
2022 J jnl
Deep generative model for therapeutic targets using transcriptomic disease-associated data - USP7 case study.
Briefings Bioinform.
Tiago Pereira, Maryam Abbasi, Rita I. Oliveira, Romina A. Guedes, Jorge A. R. Salvador, Joel P. Arrais
2022 J jnl
Designing optimized drug candidates with Generative Adversarial Network.
J. Cheminformatics
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
2022 J jnl
Explainable deep drug-target representations for binding affinity prediction.
BMC Bioinform.
Nelson R. C. Monteiro, Carlos J. V. Simões, Henrique V. Ávila, Maryam Abbasi, José Luís Oliveira, Joel P. Arrais
2022 — conf
On Algorand Transaction Fees: Challenges and Mechanism Design.
ICC
Maryam Abbasi, Mohammad Hossein Manshaei, Mohammad Ashiqur Rahman, Kemal Akkaya, Murtuza Jadliwala
2021 — conf
Comparing Oracle and PostgreSQL, Performance and Optimization.
WorldCIST (2)
Pedro Martins, Paulo Tomé, Cristina Wanzeller, Filipe Sá, Maryam Abbasi
2021 J jnl
Diversity oriented Deep Reinforcement Learning for targeted molecule generation.
J. Cheminformatics
Tiago Pereira, Maryam Abbasi, Bernardete Ribeiro, Joel P. Arrais
2021 — conf
ImageAI: Comparison Study on Different Custom Image Recognition Algorithms.
WorldCIST (2)
Manuel Martins, David Mota, Francisco Morgado, Cristina Wanzeller, Pedro Martins, Maryam Abbasi
2021 B conf
Improvement on Generative Adversarial Network for Targeted Drug Design.
ESANN
Beatriz P. Santos, Maryam Abbasi, Tiago Pereira, Bernardete Ribeiro, Joel Arrais
2021 — conf
MongoDB, Couchbase, and CouchDB: A Comparison.
WorldCIST (2)
Pedro Martins, Francisco Morgado, Cristina Wanzeller, Filipe Sá, Maryam Abbasi
2021 B conf
Multiobjective Reinforcement Learning in Optimized Drug Design.
ESANN
Maryam Abbasi, Tiago Pereira, Beatriz P. Santos, Bernardete Ribeiro, Joel Arrais
2021 — conf
NoSQL Comparative Performance Study.
WorldCIST (2)
Pedro Martins, Paulo Tomé, Cristina Wanzeller, Filipe Sá, Maryam Abbasi
2021 B conf
Optimizing Recurrent Neural Network Architectures for De Novo Drug Design.
CBMS
Beatriz P. Santos, Maryam Abbasi, Tiago Pereira, Bernardete Ribeiro, Joel P. Arrais
2021 J jnl
Optimizing blood-brain barrier permeation through deep reinforcement learning for de novo drug design.
Bioinform.
Tiago Pereira, Maryam Abbasi, José Luís Oliveira, Bernardete Ribeiro, Joel Arrais
2020 — conf
An Overview of Search and Match Algorithms Complexity and Performance.
IWBBIO
Maryam Abbasi, Pedro Martins
2020 — conf
End-to-end Deep Reinforcement Learning for Targeted Drug Generation.
ICCBB
Tiago Oliveira Pereira, Maryam Abbasi, Bernardete Ribeiro, Joel P. Arrais
2020 J jnl
Improving bluetooth beacon-based indoor location and fingerprinting.
J. Ambient Intell. Humaniz. Comput.
Pedro Martins, Maryam Abbasi, Filipe Sá, José Cecílio, Francisco Morgado, Filipe Caldeira
2019 — conf
A Study over NoSQL Performance.
WorldCIST (1)
Pedro Martins, Maryam Abbasi, Filipe Sá
2019 — conf
Intelligent beacon location and fingerprinting.
ANT/EDI40
Pedro Martins, Maryam Abbasi, Filipe Sá, Jose Celiclio, Francisco Morgado, Filipe Caldeira
2018 — conf
SINGLE vs. MapReduce vs. Relational: Predicting Query Execution Time.
BDAS
Maryam Abbasi, Pedro Martins, José Cecílio, João Pedro Costa, Pedro Furtado
2017 J jnl
Approaches for image segmentation applied to food.
Int. J. Appl. Pattern Recognit.
Pedro Martins, Igor Cruz, José Cecílio, Maryam Abbasi, Pedro Furtado
2017 — conf
Integrating Map-Reduce and Stream-Processing for Efficiency (MRSP).
BDAS
Pedro Martins, Maryam Abbasi, José Cecílio, Pedro Furtado
2016 — conf
AScale: Auto-Scale in and out ETL+Q Framework.
BDAS
Pedro Martins, Maryam Abbasi, Pedro Furtado
2016 — conf
AScale: Big/Small Data ETL and Real-Time Data Freshness.
BDAS
Pedro Martins, Maryam Abbasi, Pedro Furtado
2016 — conf
GISB: A Benchmark for Geographic Map Information Extraction.
BDAS
Pedro Martins, José Cecílio, Maryam Abbasi, Pedro Furtado
2016 — conf
GPII: A Benchmark for Generic Purpose Image Information.
C3S2E
Pedro Martins, José Cecílio, Maryam Abbasi, Pedro Furtado
2015 J jnl
AScale: automatically scaling the ETL+Q process for performance.
Int. J. Bus. Process. Integr. Manag.
Pedro Martins, Maryam Abbasi, Pedro Furtado
2015 — conf
AutoScale: Automatic ETL Scale Process.
ADBIS (Short Papers and Workshops)
Pedro Martins, Maryam Abbasi, Pedro Furtado
2015 — conf
Local Search for Multiobjective Multiple Sequence Alignment.
IWBBIO (2)
Maryam Abbasi, Luís Paquete, Francisco B. Pereira
2014 — conf
AuDy: Automatic Dynamic Least-Weight Balancing for Stream Workloads Scalability.
BigData Congress
Pedro Martins, Maryam Abbasi, Pedro Furtado
2014 J jnl
MOSAL: software tools for multiobjective sequence alignment.
Source Code Biol. Medicine
Luís Paquete, Pedro Matias, Maryam Abbasi, Miguel Pinheiro
2013 C conf
Cloudy: heterogeneous middleware for in time queries processing.
IDEAS
Pedro Martins, Maryam Abbasi, Pedro Furtado
2013 J jnl
Improvements on bicriteria pairwise sequence alignment: algorithms and applications.
Bioinform.
Maryam Abbasi, Luís Paquete, Arnaud Liefooghe, Miguel Pinheiro, Pedro Matias