Maryam Abbasi

According to our database, Maryam Abbasi authored at least 38 papers between 2013 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Artificial intelligence for prediction of biological activities and generation of molecular hits using stereochemical information.

Tiago O. Pereira, Maryam Abbasi, Rita I. Oliveira, Romina A. Guedes, Jorge A. R. Salvador, Joel P. Arrais

J. Comput. Aided Mol. Des., December, 2023

FSM-DDTR: End-to-end feedback strategy for multi-objective <i>De Novo</i> drug design using transformers.

Nelson R. C. Monteiro, Tiago Pereira, Ana Catarina D. Machado, José Luís Oliveira, Maryam Abbasi, Joel P. Arrais

Comput. Biol. Medicine, September, 2023

Comparison of Image Processing and Classification Methods for a Better Diet Decision-Making.

Maryam Abbasi, Filipe Cardoso, Pedro Martins

Proceedings of the Bioinformatics and Biomedical Engineering, 2023

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

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

BigData oriented to business decision making: a real case study in constructel.

Anthony Martins, Maryam Abbasi, Pedro Martins, Filipe Sá

Comput. Math. Organ. Theory, 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

Deep generative model for therapeutic targets using transcriptomic disease-associated data - USP7 case study.

Tiago Pereira, Maryam Abbasi, Rita I. Oliveira, Romina A. Guedes, Jorge A. R. Salvador, Joel P. Arrais

Briefings Bioinform., 2022

On Algorand Transaction Fees: Challenges and Mechanism Design.

Maryam Abbasi, Mohammad Hossein Manshaei, Mohammad Ashiqur Rahman, Kemal Akkaya, Murtuza Jadliwala

Proceedings of the IEEE International Conference on Communications, 2022

Deep Model for Anticancer Drug Response through Genomic Profiles and Compound Structures.

Filipa G. Carvalho, Maryam Abbasi, Bernardete Ribeiro, Joel P. Arrais

Proceedings of the 35th IEEE International Symposium on Computer-Based Medical Systems, 2022

2021

Diversity oriented Deep Reinforcement Learning for targeted molecule generation.

Tiago Pereira, Maryam Abbasi, Bernardete Ribeiro, Joel P. Arrais

J. Cheminformatics, 2021

Optimizing blood-brain barrier permeation through deep reinforcement learning for de novo drug design.

Tiago Pereira, Maryam Abbasi, José Luís Oliveira, Bernardete Ribeiro, Joel Arrais

Bioinform., 2021

Comparing Oracle and PostgreSQL, Performance and Optimization.

Pedro Martins, Paulo Tomé, Cristina Wanzeller, Filipe Sá, Maryam Abbasi

Proceedings of the Trends and Applications in Information Systems and Technologies, 2021

NoSQL Comparative Performance Study.

Pedro Martins, Paulo Tomé, Cristina Wanzeller, Filipe Sá, Maryam Abbasi

Proceedings of the Trends and Applications in Information Systems and Technologies, 2021

MongoDB, Couchbase, and CouchDB: A Comparison.

Pedro Martins, Francisco Morgado, Cristina Wanzeller, Filipe Sá, Maryam Abbasi

Proceedings of the Trends and Applications in Information Systems and Technologies, 2021

ImageAI: Comparison Study on Different Custom Image Recognition Algorithms.

Manuel Martins, David Mota, Francisco Morgado, Cristina Wanzeller, Pedro Martins, Maryam Abbasi

Proceedings of the Trends and Applications in Information Systems and Technologies, 2021

Improvement on Generative Adversarial Network for Targeted Drug Design.

Beatriz P. Santos, Maryam Abbasi, Tiago Pereira, Bernardete Ribeiro, Joel Arrais

Proceedings of the 29th European Symposium on Artificial Neural Networks, 2021

Multiobjective Reinforcement Learning in Optimized Drug Design.

Maryam Abbasi, Tiago Pereira, Beatriz P. Santos, Bernardete Ribeiro, Joel Arrais

Proceedings of the 29th European Symposium on Artificial Neural Networks, 2021

Optimizing Recurrent Neural Network Architectures for De Novo Drug Design.

Beatriz P. Santos, Maryam Abbasi, Tiago Pereira, Bernardete Ribeiro, Joel P. Arrais

Proceedings of the 34th IEEE International Symposium on Computer-Based Medical Systems, 2021

2020

Improving bluetooth beacon-based indoor location and fingerprinting.

Pedro Martins, Maryam Abbasi, Filipe Sá, José Cecílio, Francisco Morgado, Filipe Caldeira

J. Ambient Intell. Humaniz. Comput., 2020

An Overview of Search and Match Algorithms Complexity and Performance.

Maryam Abbasi, Pedro Martins

Proceedings of the Bioinformatics and Biomedical Engineering, 2020

End-to-end Deep Reinforcement Learning for Targeted Drug Generation.

Tiago Oliveira Pereira, Maryam Abbasi, Bernardete Ribeiro, Joel P. Arrais

Proceedings of the ICCBB 2020: 4th International Conference on Computational Biology and Bioinformatics, Bali Island, Indonesia, 27 December, 2021, 2020

2019

A Study over NoSQL Performance.

Pedro Martins, Maryam Abbasi, Filipe Sá

Proceedings of the New Knowledge in Information Systems and Technologies, 2019

Intelligent beacon location and fingerprinting.

Pedro Martins, Maryam Abbasi, Filipe Sá, Jose Celiclio, Francisco Morgado, Filipe Caldeira

Proceedings of the 10th International Conference on Ambient Systems, Networks and Technologies (ANT 2019) / The 2nd International Conference on Emerging Data and Industry 4.0 (EDI40 2019) / Affiliated Workshops, April 29, 2019

2018

SINGLE vs. MapReduce vs. Relational: Predicting Query Execution Time.

Maryam Abbasi, Pedro Martins, José Cecílio, João Pedro Costa, Pedro Furtado

Proceedings of the Beyond Databases, Architectures and Structures. Facing the Challenges of Data Proliferation and Growing Variety, 2018

2017

Approaches for image segmentation applied to food.

Pedro Martins, Igor Cruz, José Cecílio, Maryam Abbasi, Pedro Furtado

Int. J. Appl. Pattern Recognit., 2017

Integrating Map-Reduce and Stream-Processing for Efficiency (MRSP).

Pedro Martins, Maryam Abbasi, José Cecílio, Pedro Furtado

Proceedings of the Beyond Databases, Architectures and Structures. Towards Efficient Solutions for Data Analysis and Knowledge Representation, 2017

2016

GPII: A Benchmark for Generic Purpose Image Information.

Pedro Martins, José Cecílio, Maryam Abbasi, Pedro Furtado

Proceedings of the Ninth International C* Conference on Computer Science & Software Engineering, 2016

GISB: A Benchmark for Geographic Map Information Extraction.

Pedro Martins, José Cecílio, Maryam Abbasi, Pedro Furtado

Proceedings of the Beyond Databases, Architectures and Structures. Advanced Technologies for Data Mining and Knowledge Discovery, 2016

AScale: Big/Small Data ETL and Real-Time Data Freshness.

Pedro Martins, Maryam Abbasi, Pedro Furtado

Proceedings of the Beyond Databases, Architectures and Structures. Advanced Technologies for Data Mining and Knowledge Discovery, 2016

AScale: Auto-Scale in and out ETL+Q Framework.

Pedro Martins, Maryam Abbasi, Pedro Furtado

Proceedings of the Beyond Databases, Architectures and Structures. Advanced Technologies for Data Mining and Knowledge Discovery, 2016

2015

AScale: automatically scaling the ETL+Q process for performance.

Pedro Martins, Maryam Abbasi, Pedro Furtado

Int. J. Bus. Process. Integr. Manag., 2015

Local Search for Multiobjective Multiple Sequence Alignment.

Maryam Abbasi, Luís Paquete, Francisco B. Pereira

Proceedings of the Bioinformatics and Biomedical Engineering, 2015

AutoScale: Automatic ETL Scale Process.

Pedro Martins, Maryam Abbasi, Pedro Furtado

Proceedings of the New Trends in Databases and Information Systems, 2015

2014

MOSAL: software tools for multiobjective sequence alignment.

Luís Paquete, Pedro Matias, Maryam Abbasi, Miguel Pinheiro

Source Code Biol. Medicine, 2014

AuDy: Automatic Dynamic Least-Weight Balancing for Stream Workloads Scalability.

Pedro Martins, Maryam Abbasi, Pedro Furtado

Proceedings of the 2014 IEEE International Congress on Big Data, Anchorage, AK, USA, June 27, 2014

2013

Improvements on bicriteria pairwise sequence alignment: algorithms and applications.

Maryam Abbasi, Luís Paquete, Arnaud Liefooghe, Miguel Pinheiro, Pedro Matias

Bioinform., 2013

Cloudy: heterogeneous middleware for in time queries processing.

Pedro Martins, Maryam Abbasi, Pedro Furtado

Proceedings of the 17th International Database Engineering & Applications Symposium, 2013