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2020 – today
- 2025
[j23]Tiago O. Pereira, Maryam Abbasi
, Joel P. Arrais:
ABIET: An explainable transformer for identifying functional groups in biological active molecules. Comput. Biol. Medicine 187: 109740 (2025)- 2024
- [j22]Maryam Abbasi, Filipa G. Carvalho, Bernardete Ribeiro, Joel P. Arrais:
Predicting drug activity against cancer through genomic profiles and SMILES. Artif. Intell. Medicine 150: 102820 (2024) - [j21]Maryam Abbasi, Marco V. Bernardo, Paulo Váz, José Silva, Pedro Martins:
Optimizing Database Performance in Complex Event Processing through Indexing Strategies. Data 9(8): 93 (2024) - [j20]Maryam Abbasi, Marco V. Bernardo, Paulo Váz, José Silva, Pedro Martins:
Revisiting Database Indexing for Parallel and Accelerated Computing: A Comprehensive Study and Novel Approaches. Inf. 15(8): 429 (2024) - [j19]Maryam Abbasi, Marco V. Bernardo, Paulo Váz, José Silva, Pedro Martins:
Adaptive and Scalable Database Management with Machine Learning Integration: A PostgreSQL Case Study. Inf. 15(9): 574 (2024) - [j18]Daniel Martins, Maryam Abbasi, Conceição Egas, Joel P. Arrais:
Detecting outliers in case-control cohorts for improving deep learning networks on Schizophrenia prediction. J. Integr. Bioinform. 21(2) (2024) - [j17]Eduardo Pina, José Ramos, Henrique Jorge, Paulo Váz, José Silva, Cristina Wanzeller, Maryam Abbasi, Pedro Martins:
Data Privacy and Ethical Considerations in Database Management. J. Cybersecur. Priv. 4(3): 494-517 (2024) - [j16]Maryam Abbasi, Masoumeh Ghamoushi, Zohre Mohammadi Zenouzagh:
EFL learners' engagement in online learning context: development and validation of potential measurement inventory. Univers. Access Inf. Soc. 23(3): 1467-1481 (2024) - 2023
- [j15]Tiago O. Pereira, Maryam Abbasi, Joel P. Arrais:
Enhancing reinforcement learning for de novo molecular design applying self-attention mechanisms. Briefings Bioinform. 24(6) (2023) - [j14]Nelson R. C. Monteiro, Tiago Pereira, Ana Catarina D. Machado, José Luís Oliveira, Maryam Abbasi, Joel P. Arrais:
FSM-DDTR: End-to-end feedback strategy for multi-objective De Novo drug design using transformers. Comput. Biol. Medicine 164: 107285 (2023) - [j13]Tiago O. Pereira, Maryam Abbasi, Rita I. Oliveira, Romina A. Guedes, Jorge A. R. Salvador, Joel P. Arrais:
Artificial intelligence for prediction of biological activities and generation of molecular hits using stereochemical information. J. Comput. Aided Mol. Des. 37(12): 791-806 (2023) - [c24]Maryam Abbasi, Filipe Cardoso, Pedro Martins:
Comparison of Image Processing and Classification Methods for a Better Diet Decision-Making. IWBBIO (1) 2023: 390-403 - 2022
- [j12]Tiago Pereira, Maryam Abbasi, Rita I. Oliveira, Romina A. Guedes, Jorge A. R. Salvador, Joel P. Arrais:
Deep generative model for therapeutic targets using transcriptomic disease-associated data - USP7 case study. Briefings Bioinform. 23(4) (2022) - [j11]Nelson R. C. Monteiro, Carlos J. V. Simões, Henrique V. Ávila, Maryam Abbasi, José Luís Oliveira, Joel P. Arrais:
Explainable deep drug-target representations for binding affinity prediction. BMC Bioinform. 23(1): 237 (2022) - [j10]Anthony Martins, Maryam Abbasi, Pedro Martins, Filipe Sá:
BigData oriented to business decision making: a real case study in constructel. Comput. Math. Organ. Theory 28(3): 271-291 (2022) - [j9]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:
Designing optimized drug candidates with Generative Adversarial Network. J. Cheminformatics 14(1): 40 (2022) - [j8]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:
Correction to: Designing optimized drug candidates with Generative Adversarial Network. J. Cheminformatics 14(1): 53 (2022) - [c23]Filipa G. Carvalho, Maryam Abbasi, Bernardete Ribeiro, Joel P. Arrais:
Deep Model for Anticancer Drug Response through Genomic Profiles and Compound Structures. CBMS 2022: 1-6 - [c22]Maryam Abbasi, Mohammad Hossein Manshaei, Mohammad Ashiqur Rahman, Kemal Akkaya, Murtuza Jadliwala:
On Algorand Transaction Fees: Challenges and Mechanism Design. ICC 2022: 5403-5408 - 2021
- [j7]Tiago Pereira, Maryam Abbasi, José Luís Oliveira, Bernardete Ribeiro, Joel Arrais:
Optimizing blood-brain barrier permeation through deep reinforcement learning for de novo drug design. Bioinform. 37(Supplement): 84-92 (2021) - [j6]Tiago Pereira, Maryam Abbasi, Bernardete Ribeiro, Joel P. Arrais:
Diversity oriented Deep Reinforcement Learning for targeted molecule generation. J. Cheminformatics 13(1): 21 (2021) - [c21]Beatriz P. Santos, Maryam Abbasi, Tiago Pereira, Bernardete Ribeiro, Joel P. Arrais:
Optimizing Recurrent Neural Network Architectures for De Novo Drug Design. CBMS 2021: 172-177 - [c20]Maryam Abbasi, Tiago Pereira, Beatriz P. Santos, Bernardete Ribeiro, Joel Arrais:
Multiobjective Reinforcement Learning in Optimized Drug Design. ESANN 2021 - [c19]Beatriz P. Santos, Maryam Abbasi, Tiago Pereira, Bernardete Ribeiro, Joel Arrais:
Improvement on Generative Adversarial Network for Targeted Drug Design. ESANN 2021 - [c18]Pedro Martins, Paulo Tomé, Cristina Wanzeller, Filipe Sá, Maryam Abbasi:
NoSQL Comparative Performance Study. WorldCIST (2) 2021: 428-438 - [c17]Pedro Martins, Francisco Morgado, Cristina Wanzeller, Filipe Sá, Maryam Abbasi:
MongoDB, Couchbase, and CouchDB: A Comparison. WorldCIST (2) 2021: 469-480 - [c16]Pedro Martins, Paulo Tomé, Cristina Wanzeller, Filipe Sá, Maryam Abbasi:
Comparing Oracle and PostgreSQL, Performance and Optimization. WorldCIST (2) 2021: 481-490 - [c15]Manuel Martins, David Mota, Francisco Morgado, Cristina Wanzeller, Pedro Martins, Maryam Abbasi:
ImageAI: Comparison Study on Different Custom Image Recognition Algorithms. WorldCIST (2) 2021: 602-610 - 2020
- [j5]Pedro Martins, Maryam Abbasi, Filipe Sá, José Cecílio, Francisco Morgado, Filipe Caldeira:
Improving bluetooth beacon-based indoor location and fingerprinting. J. Ambient Intell. Humaniz. Comput. 11(10): 3907-3919 (2020) - [c14]Tiago Oliveira Pereira, Maryam Abbasi, Bernardete Ribeiro, Joel P. Arrais:
End-to-end Deep Reinforcement Learning for Targeted Drug Generation. ICCBB 2020: 7-13 - [c13]Maryam Abbasi, Pedro Martins:
An Overview of Search and Match Algorithms Complexity and Performance. IWBBIO 2020: 457-471
2010 – 2019
- 2019
- [c12]Pedro Martins, Maryam Abbasi, Filipe Sá, Jose Celiclio, Francisco Morgado, Filipe Caldeira:
Intelligent beacon location and fingerprinting. ANT/EDI40 2019: 9-16 - [c11]Pedro Martins, Maryam Abbasi, Filipe Sá:
A Study over NoSQL Performance. WorldCIST (1) 2019: 603-611 - 2018
- [c10]Maryam Abbasi, Pedro Martins, José Cecílio, João Pedro Costa, Pedro Furtado:
SINGLE vs. MapReduce vs. Relational: Predicting Query Execution Time. BDAS 2018: 63-74 - 2017
- [j4]Pedro Martins, Igor Cruz, José Cecílio, Maryam Abbasi, Pedro Furtado:
Approaches for image segmentation applied to food. Int. J. Appl. Pattern Recognit. 4(2): 161-180 (2017) - [c9]Pedro Martins, Maryam Abbasi, José Cecílio, Pedro Furtado:
Integrating Map-Reduce and Stream-Processing for Efficiency (MRSP). BDAS 2017: 3-15 - 2016
- [c8]Pedro Martins, Maryam Abbasi, Pedro Furtado:
AScale: Auto-Scale in and out ETL+Q Framework. BDAS 2016: 303-314 - [c7]Pedro Martins, Maryam Abbasi, Pedro Furtado:
AScale: Big/Small Data ETL and Real-Time Data Freshness. BDAS 2016: 315-327 - [c6]Pedro Martins, José Cecílio, Maryam Abbasi, Pedro Furtado:
GISB: A Benchmark for Geographic Map Information Extraction. BDAS 2016: 600-609 - [c5]Pedro Martins, José Cecílio, Maryam Abbasi, Pedro Furtado:
GPII: A Benchmark for Generic Purpose Image Information. C3S2E 2016: 119-122 - 2015
- [j3]Pedro Martins, Maryam Abbasi, Pedro Furtado:
AScale: automatically scaling the ETL+Q process for performance. Int. J. Bus. Process. Integr. Manag. 7(4): 300-313 (2015) - [c4]Pedro Martins, Maryam Abbasi, Pedro Furtado:
AutoScale: Automatic ETL Scale Process. ADBIS (Short Papers and Workshops) 2015: 20-27 - [c3]Maryam Abbasi, Luís Paquete, Francisco B. Pereira:
Local Search for Multiobjective Multiple Sequence Alignment. IWBBIO (2) 2015: 175-182 - 2014
- [j2]Luís Paquete, Pedro Matias, Maryam Abbasi, Miguel Pinheiro:
MOSAL: software tools for multiobjective sequence alignment. Source Code Biol. Medicine 9: 2 (2014) - [c2]Pedro Martins, Maryam Abbasi, Pedro Furtado:
AuDy: Automatic Dynamic Least-Weight Balancing for Stream Workloads Scalability. BigData Congress 2014: 176-183 - 2013
- [j1]Maryam Abbasi, Luís Paquete, Arnaud Liefooghe, Miguel Pinheiro, Pedro Matias:
Improvements on bicriteria pairwise sequence alignment: algorithms and applications. Bioinform. 29(8): 996-1003 (2013) - [c1]Pedro Martins, Maryam Abbasi, Pedro Furtado:
Cloudy: heterogeneous middleware for in time queries processing. IDEAS 2013: 5-13
Coauthor Index
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last updated on 2025-03-04 22:27 CET by the dblp team
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