default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDArlindo L. Oliveira
Arlindo Limede Oliveira
Person information
- affiliation: Instituto Superior Técnico, Lisbon, Portugal
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[c80]Ruxandra Barbulescu
, Tiago Marques, Arlindo L. Oliveira:
Contribution of V1 Receptive Field Properties to Corruption Robustness in CNNs. ECAI 2024: 658-665- [c79]André V. Duarte, João Marques, Miguel Graça, Miguel Freire, Lei Li, Arlindo L. Oliveira:
LumberChunker: Long-Form Narrative Document Segmentation. EMNLP (Findings) 2024: 6473-6486 - [c78]André V. Duarte, Xuandong Zhao, Arlindo L. Oliveira, Lei Li:
DE-COP: Detecting Copyrighted Content in Language Models Training Data. ICML 2024 - [i22]André V. Duarte, Xuandong Zhao, Arlindo L. Oliveira, Lei Li:
DE-COP: Detecting Copyrighted Content in Language Models Training Data. CoRR abs/2402.09910 (2024) - [i21]Martim Afonso, Praphulla M. S. Bhawsar, Monjoy Saha, Jonas S. Almeida, Arlindo L. Oliveira:
Finding Regions of Interest in Whole Slide Images Using Multiple Instance Learning. CoRR abs/2404.01446 (2024) - [i20]Hongwei Bran Li, Fernando Navarro, Ivan Ezhov, Amirhossein Bayat, Dhritiman Das, Florian Kofler, Suprosanna Shit, Diana Waldmannstetter, Johannes C. Paetzold, Xiaobin Hu, Benedikt Wiestler, Lucas Zimmer, Tamaz Amiranashvili, Chinmay Prabhakar, Christoph Berger, Jonas Weidner, Michelle Alonso-Basanta, Arif Rashid, Ujjwal Baid, Wesam Adel, Deniz Alis, Bhakti Baheti, Yingbin Bai, Ishaan Bhat, Sabri Can Cetindag, Wenting Chen, Li Cheng, Prasad Dutande, Lara Dular, Mustafa A. Elattar, Ming Feng, Shengbo Gao, Henkjan Huisman, Weifeng Hu, Shubham Innani, Wei Jiat, Davood Karimi, Hugo J. Kuijf, Jin Tae Kwak, Hoang Long Le, Xiang Lia, Huiyan Lin, Tongliang Liu, Jun Ma, Kai Ma, Ting Ma, Ilkay Öksüz, Robbie Holland, Arlindo L. Oliveira, Jimut Bahan Pal, Xuan Pei, Maoying Qiao, Anindo Saha, Raghavendra Selvan, Linlin Shen, João Lourenço Silva, Ziga Spiclin, Sanjay N. Talbar, Dadong Wang, Wei Wang, Xiong Wang, Yin Wang, Ruiling Xia, Kele Xu, Yanwu Yan, Mert Yergin, Shuang Yu, Lingxi Zeng, YingLin Zhang, Jiachen Zhao, Yefeng Zheng, Martin Zukovec, Richard K. G. Do, Anton S. Becker, Amber L. Simpson, Ender Konukoglu, András Jakab, Spyridon Bakas, Leo Joskowicz, Bjoern H. Menze:
QUBIQ: Uncertainty Quantification for Biomedical Image Segmentation Challenge. CoRR abs/2405.18435 (2024) - [i19]André V. Duarte, João Marques, Miguel Graça, Miguel Freire, Lei Li, Arlindo L. Oliveira:
LumberChunker: Long-Form Narrative Document Segmentation. CoRR abs/2406.17526 (2024) - [i18]Lucas Piper, Arlindo L. Oliveira, Tiago Marques:
Explicitly Modeling Pre-Cortical Vision with a Neuro-Inspired Front-End Improves CNN Robustness. CoRR abs/2409.16838 (2024) - 2023
- [c77]Manuel Goulão, Arlindo L. Oliveira:
Pretraining the Vision Transformer Using Self-Supervised Methods for Vision Based Deep Reinforcement Learning. ECAI 2023: 899-907 - [c76]André V. Duarte, Arlindo L. Oliveira:
Improving Address Matching Using Siamese Transformer Networks. EPIA (2) 2023: 413-425 - [c75]André V. Duarte, Arlindo L. Oliveira:
Improving Embeddings for High-Accuracy Transformer-Based Address Matching Using a Multiple in-Batch Negatives Loss. ICMLA 2023: 120-127 - [c74]João Pedro Novo, Manuel Goulão, Lourenço Bandeira, Bruno Martins, Arlindo L. Oliveira:
Augmentation-Based Approaches for Overcoming Low Visibility in Street Object Detection. ICMLA 2023: 1943-1948 - [i17]Tiago Oliveira, Tiago Marques, Arlindo L. Oliveira:
Connecting metrics for shape-texture knowledge in computer vision. CoRR abs/2301.10608 (2023) - [i16]André V. Duarte, Arlindo L. Oliveira:
Improving Address Matching using Siamese Transformer Networks. CoRR abs/2307.02300 (2023) - [i15]Ruxandra Barbulescu, Tiago Marques, Arlindo L. Oliveira:
Matching the Neuronal Representations of V1 is Necessary to Improve Robustness in CNNs with V1-like Front-ends. CoRR abs/2310.10575 (2023) - [i14]Arlindo L. Oliveira, Tiago Domingos, Mário A. T. Figueiredo, Pedro U. Lima:
DeepThought: An Architecture for Autonomous Self-motivated Systems. CoRR abs/2311.08547 (2023) - 2022
- [j36]Mário Cardoso, André Cavalheiro, Alexandre Borges, Ana Filipa Duarte, Amílcar Soares, Maria João Pereira, Nuno Jardim Nunes, Leonardo Azevedo, Arlindo L. Oliveira:
Modeling the Geospatial Evolution of COVID-19 using Spatio-temporal Convolutional Sequence-to-sequence Neural Networks. ACM Trans. Spatial Algorithms Syst. 8(4): 28:1-28:19 (2022) - [c73]Ana Beatriz Vieira, Ana Catarina Fonseca, José M. Ferro, Arlindo L. Oliveira:
Using a Siamese Network to Accurately Detect Ischemic Stroke in Computed Tomography Scans. EPIA 2022: 159-170 - [c72]Tiago Gaspar Oliveira, Arlindo L. Oliveira:
Assessing Policy, Loss and Planning Combinations in Reinforcement Learning Using a New Modular Architecture. EPIA 2022: 427-439 - [c71]Pedro Van Stralen, Dinis L. Rodrigues, Arlindo L. Oliveira, Miguel Nobre Menezes, Fausto J. Pinto:
Stenosis Detection in X-ray Coronary Angiography with Deep Neural Networks Leveraged by Attention Mechanisms. ICBRA 2022: 123-128 - [c70]Rafael Pedro, Arlindo L. Oliveira:
Assessing the Impact of Attention and Self-Attention Mechanisms on the Classification of Skin Lesions. IJCNN 2022: 1-8 - [i13]Tiago Gaspar Oliveira, Arlindo L. Oliveira:
Assessing Policy, Loss and Planning Combinations in Reinforcement Learning using a New Modular Architecture. CoRR abs/2201.02874 (2022) - [i12]Manuel Goulão, Arlindo L. Oliveira:
Pretraining the Vision Transformer using self-supervised methods for vision based Deep Reinforcement Learning. CoRR abs/2209.10901 (2022) - 2021
- [c69]João Lourenço Silva, Arlindo L. Oliveira:
Using Soft Labels to Model Uncertainty in Medical Image Segmentation. BrainLes@MICCAI (2) 2021: 585-596 - [c68]João Lourenço Silva, Miguel Nobre Menezes, Tiago Rodrigues, Beatriz Silva, Fausto J. Pinto, Arlindo L. Oliveira:
Encoder-Decoder Architectures for Clinically Relevant Coronary Artery Segmentation. ICCABS 2021: 63-78 - [i11]Alexandre Borges, Arlindo L. Oliveira:
Combining Off and On-Policy Training in Model-Based Reinforcement Learning. CoRR abs/2102.12194 (2021) - [i10]Dinis L. Rodrigues, Miguel Nobre Menezes, Fausto J. Pinto, Arlindo L. Oliveira:
Automated Detection of Coronary Artery Stenosis in X-ray Angiography using Deep Neural Networks. CoRR abs/2103.02969 (2021) - [i9]João Rico, José Barateiro, Arlindo L. Oliveira:
Graph Neural Networks for Traffic Forecasting. CoRR abs/2104.13096 (2021) - [i8]Mário Cardoso, André Cavalheiro, Alexandre Borges, Ana Filipa Duarte, Amílcar Soares, Maria João Pereira, Nuno Jardim Nunes, Leonardo Azevedo, Arlindo L. Oliveira:
Modeling the geospatial evolution of COVID-19 using spatio-temporal convolutional sequence-to-sequence neural networks. CoRR abs/2105.02752 (2021) - [i7]João Lourenço Silva, Miguel Nobre Menezes, Tiago Rodrigues, Beatriz Silva, Fausto J. Pinto, Arlindo L. Oliveira:
Encoder-Decoder Architectures for Clinically Relevant Coronary Artery Segmentation. CoRR abs/2106.11447 (2021) - [i6]Gonçalo Mestre, Ruxandra Barbulescu, Arlindo L. Oliveira, L. Miguel Silveira:
Modelling Neuronal Behaviour with Time Series Regression: Recurrent Neural Networks on C. Elegans Data. CoRR abs/2107.06762 (2021) - [i5]João Lourenço Silva, Arlindo L. Oliveira:
Using Soft Labels to Model Uncertainty in Medical Image Segmentation. CoRR abs/2109.12622 (2021) - [i4]Rafael Pedro, Arlindo L. Oliveira:
Assessing the Impact of Attention and Self-Attention Mechanisms on the Classification of Skin Lesions. CoRR abs/2112.12748 (2021)
2010 – 2019
- 2018
- [b1]Guilherme Arroz, José Monteiro, Arlindo L. Oliveira:
Computer Architecture - Digital Circuits to Microprocessors. WorldScientific 2018, ISBN 9789813238336, pp. 1-752 - [j35]Miguel Monteiro, Ana Catarina Fonseca, Ana Teresa Freitas, Teresa Pinho e Melo, Alexandre P. Francisco, José M. Ferro, Arlindo L. Oliveira:
Using Machine Learning to Improve the Prediction of Functional Outcome in Ischemic Stroke Patients. IEEE ACM Trans. Comput. Biol. Bioinform. 15(6): 1953-1959 (2018) - [i3]Miguel Monteiro, Mário A. T. Figueiredo, Arlindo L. Oliveira:
Conditional Random Fields as Recurrent Neural Networks for 3D Medical Imaging Segmentation. CoRR abs/1807.07464 (2018) - 2016
- [j34]André Veríssimo, Arlindo Limede Oliveira, Marie-France Sagot, Susana Vinga:
DegreeCox - a network-based regularization method for survival analysis. BMC Bioinform. 17(S-16): 109-121 (2016) - 2014
- [j33]Miguel Cacho Teixeira, Pedro Tiago Monteiro, Joana Fernandes Guerreiro, Joana Pinho Gonçalves, Nuno Pereira Mira, Sandra Costa dos Santos, Tânia Rodrigues Cabrito, Margarida Palma, Catarina Costa, Alexandre Paulo Francisco, Sara Cordeiro Madeira, Arlindo Limede Oliveira, Ana Teresa Freitas, Isabel Sá-Correia:
The YEASTRACT database: an upgraded information system for the analysis of gene and genomic transcription regulation in Saccharomyces cerevisiae. Nucleic Acids Res. 42(Database-Issue): 161-166 (2014) - 2012
- [j32]Alexandre P. Francisco, Ricardo Baeza-Yates, Arlindo L. Oliveira:
Mining query log graphs towards a query folksonomy. Concurr. Comput. Pract. Exp. 24(17): 2179-2192 (2012) - 2011
- [j31]Alexandra M. Carvalho, Arlindo L. Oliveira:
GRISOTTO: A greedy approach to improve combinatorial algorithms for motif discovery with prior knowledge. Algorithms Mol. Biol. 6: 13 (2011) - [j30]Ana Graça, João Marques-Silva, Inês Lynce, Arlindo L. Oliveira:
Haplotype inference with pseudo-Boolean optimization. Ann. Oper. Res. 184(1): 137-162 (2011) - [j29]Joana P. Gonçalves, Alexandre P. Francisco, Nuno P. Mira, Miguel C. Teixeira, Isabel Sá-Correia, Arlindo L. Oliveira, Sara C. Madeira:
TFRank: network-based prioritization of regulatory associations underlying transcriptional responses. Bioinform. 27(22): 3149-3157 (2011) - [j28]Francisco Fernandes, Paulo G. S. da Fonseca, Luís M. S. Russo, Arlindo L. Oliveira, Ana T. Freitas:
Efficient alignment of pyrosequencing reads for re-sequencing applications. BMC Bioinform. 12: 163 (2011) - [j27]Dulce Calçada, Susana Vinga, Ana T. Freitas, Arlindo L. Oliveira:
Quantitative Modeling of the Saccharomyces cerevisiae Flr1 regulatory Network Using an S-System Formalism. J. Bioinform. Comput. Biol. 9(5): 613-630 (2011) - [j26]Alexandra M. Carvalho, Teemu Roos, Arlindo L. Oliveira, Petri Myllymäki:
Discriminative Learning of Bayesian Networks via Factorized Conditional Log-Likelihood. J. Mach. Learn. Res. 12: 2181-2210 (2011) - [j25]Dário Abdulrehman, Pedro T. Monteiro, Miguel C. Teixeira, Nuno P. Mira, Artur B. Lourenço, Sandra Costa dos Santos, Tânia Rodrigues Cabrito, Alexandre P. Francisco, Sara C. Madeira, Ricardo Santos Aires, Arlindo L. Oliveira, Isabel Sá-Correia, Ana T. Freitas:
YEASTRACT: providing a programmatic access to curated transcriptional regulatory associations in Saccharomyces cerevisiae through a web services interface. Nucleic Acids Res. 39(Database-Issue): 136-140 (2011) - [j24]Luís M. S. Russo, Gonzalo Navarro, Arlindo L. Oliveira:
Fully compressed suffix trees. ACM Trans. Algorithms 7(4): 53:1-53:34 (2011) - [c67]Artur J. Ferreira, Arlindo L. Oliveira, Mário A. T. Figueiredo:
Sliding Window Update Using Suffix Arrays. DCC 2011: 456 - [c66]Dulce Calçada, Susana Vinga, Ana T. Freitas, Arlindo L. Oliveira:
Quantitative Modeling the Saccharomyces cerevisiae FLR1 Regulatory Network Using an S-System Formalism. HISB 2011: 69-75 - 2010
- [j23]Ana Graça, Inês Lynce, João Marques-Silva, Arlindo L. Oliveira:
Haplotype Inference by Pure Parsimony: A Survey. J. Comput. Biol. 17(8): 969-992 (2010) - [j22]Sara C. Madeira, Miguel C. Teixeira, Isabel Sá-Correia, Arlindo L. Oliveira:
Identification of Regulatory Modules in Time Series Gene Expression Data Using a Linear Time Biclustering Algorithm. IEEE ACM Trans. Comput. Biol. Bioinform. 7(1): 153-165 (2010) - [c65]Ana Graça, Inês Lynce, João Marques-Silva, Arlindo L. Oliveira:
Efficient and Accurate Haplotype Inference by Combining Parsimony and Pedigree Information. ANB 2010: 38-56 - [c64]Alexandre P. Francisco, Sophie Schbath, Ana T. Freitas, Arlindo L. Oliveira:
Using graph modularity analysis to identify transcription factor binding sites. BIBM Workshops 2010: 19-26 - [c63]Alexandre P. Francisco, Arlindo L. Oliveira:
Fully Generalized Graph Cores. CompleNet 2010: 22-34 - [c62]Alexandre P. Francisco, Arlindo L. Oliveira:
On Community Detection in Very Large Networks. CompleNet 2010: 208-216 - [c61]Luís M. S. Russo, Gonzalo Navarro, Arlindo L. Oliveira:
Parallel and Distributed Compressed Indexes. CPM 2010: 348-360 - [c60]Orlando Anunciação, Bruno C. Gomes, Susana Vinga, Jorge Gaspar, Arlindo L. Oliveira, José Rueff:
A Data Mining Approach for the Detection of High-Risk Breast Cancer Groups. IWPACBB 2010: 43-51 - [c59]Paulo Trezentos, Inês Lynce, Arlindo L. Oliveira:
Apt-pbo: solving the software dependency problem using pseudo-boolean optimization. ASE 2010: 427-436 - [c58]Alexandre P. Francisco, Ricardo Baeza-Yates, Arlindo L. Oliveira:
Mining Large Query Induced Graphs towards a Hierarchical Query Folksonomy. SPIRE 2010: 237-242
2000 – 2009
- 2009
- [j21]Luís M. S. Russo, Gonzalo Navarro, Arlindo L. Oliveira, Pedro Morales:
Approximate String Matching with Compressed Indexes. Algorithms 2(3): 1105-1136 (2009) - [j20]Sara C. Madeira, Arlindo L. Oliveira:
A polynomial time biclustering algorithm for finding approximate expression patterns in gene expression time series. Algorithms Mol. Biol. 4 (2009) - [j19]Miguel M. F. Bugalho, Arlindo L. Oliveira:
Constant Time Clash Detection in protein Folding. J. Bioinform. Comput. Biol. 7(1): 55-74 (2009) - [c57]Artur J. Ferreira, Arlindo L. Oliveira, Mário A. T. Figueiredo:
On the Use of Suffix Arrays for Memory-Efficient Lempel-Ziv Data Compression. DCC 2009: 444 - [c56]Sara C. Madeira, Arlindo L. Oliveira:
Efficient Biclustering Algorithms for Time Series Gene Expression Data Analysis. IWANN (2) 2009: 1013-1019 - [i2]Artur J. Ferreira, Arlindo L. Oliveira, Mário A. T. Figueiredo:
On the Use of Suffix Arrays for Memory-Efficient Lempel-Ziv Data Compression. CoRR abs/0903.4251 (2009) - [i1]Artur J. Ferreira, Arlindo L. Oliveira, Mário A. T. Figueiredo:
Time and Memory Efficient Lempel-Ziv Compression Using Suffix Arrays. CoRR abs/0912.5449 (2009) - 2008
- [j18]André L. Martins, Helena Sofia Pinto, Arlindo L. Oliveira:
Using Grammatical Inference Techniques to Learn Ontologies that Describe the Structure of Domain Instances. Appl. Artif. Intell. 22(1&2): 139-167 (2008) - [j17]Ana C. Casimiro, Susana Vinga, Ana T. Freitas, Arlindo L. Oliveira:
An analysis of the positional distribution of DNA motifs in promoter regions and its biological relevance. BMC Bioinform. 9 (2008) - [j16]Luís M. S. Russo, Arlindo L. Oliveira:
A compressed self-index using a Ziv-Lempel dictionary. Inf. Retr. 11(4): 359-388 (2008) - [j15]Pedro T. Monteiro, Nuno D. Mendes, Miguel C. Teixeira, Sofia d'Orey, Sandra Tenreiro, Nuno P. Mira, Hélio Pais, Alexandre P. Francisco, Alexandra M. Carvalho, Artur B. Lourenço, Isabel Sá-Correia, Arlindo L. Oliveira, Ana T. Freitas:
YEASTRACT-DISCOVERER: new tools to improve the analysis of transcriptional regulatory associations in Saccharomyces cerevisiae. Nucleic Acids Res. 36(Database-Issue): 132-136 (2008) - [c55]Ana Graça, João Marques-Silva, Inês Lynce, Arlindo L. Oliveira:
Efficient Haplotype Inference with Combined CP and OR Techniques. CPAIOR 2008: 308-312 - [c54]Luís M. S. Russo, Gonzalo Navarro, Arlindo L. Oliveira:
Dynamic Fully-Compressed Suffix Trees. CPM 2008: 191-203 - [c53]Xiaoshu Wang, Jonas S. Almeida, Arlindo L. Oliveira:
Ontology Design Principles and Normalization Techniques in the Web. DILS 2008: 28-43 - [c52]Artur J. Ferreira, Arlindo L. Oliveira, Mário A. T. Figueiredo:
On the Suitability of Suffix Arrays for Lempel-Ziv Data Compression. ICETE (Selected Papers) 2008: 267-280 - [c51]Inês Lynce, Ana Graça, João Marques-Silva, Arlindo L. Oliveira:
Haplotype Inference with Boolean Constraint Solving: An Overview. ICTAI (1) 2008: 92-100 - [c50]Alexandre P. Francisco, Arlindo L. Oliveira, Ana T. Freitas:
Identification of Transcription Factor Binding Sites in Promoter Regions by Modularity Analysis of the Motif Co-occurrence Graph. ISBRA 2008: 220-231 - [c49]Luís M. S. Russo, Gonzalo Navarro, Arlindo L. Oliveira:
Fully-Compressed Suffix Trees. LATIN 2008: 362-373 - [c48]Artur J. Ferreira, Arlindo L. Oliveira, Mário A. T. Figueiredo:
Suffix Arrays - A Competitive Choice for Fast Lempel-Ziv Compressions. SIGMAP 2008: 5-12 - [c47]Luís M. S. Russo, Gonzalo Navarro, Arlindo L. Oliveira:
Indexed Hierarchical Approximate String Matching. SPIRE 2008: 144-154 - [c46]Alexandre P. Francisco, Ricardo Baeza-Yates, Arlindo L. Oliveira:
Clique Analysis of Query Log Graphs. SPIRE 2008: 188-199 - [c45]Miguel M. F. Bugalho, Arlindo L. Oliveira:
An Evaluation of the Impact of Side Chain Positioning on the Accuracy of Discrete Models of Protein Structures. BSB 2008: 23-34 - 2007
- [j14]Luís M. S. Russo, Arlindo L. Oliveira:
Efficient generation of super condensed neighborhoods. J. Discrete Algorithms 5(3): 501-513 (2007) - [c44]Ana Graça, João Marques-Silva, Inês Lynce, Arlindo L. Oliveira:
Efficient Haplotype Inference with Pseudo-boolean Optimization. AB 2007: 125-139 - [c43]Sara C. Madeira, Arlindo L. Oliveira:
An Efficient Biclustering Algorithm for Finding Genes with Similar Patterns in Time-series Expression Data. APBC 2007: 67-80 - [c42]Alexandra M. Carvalho, Arlindo L. Oliveira, Marie-France Sagot:
Efficient Learning of Bayesian Network Classifiers. Australian Conference on Artificial Intelligence 2007: 16-25 - [c41]João Marques-Silva, Inês Lynce, Ana Graça, Arlindo L. Oliveira:
Efficient and Tight Upper Bounds for Haplotype Inference by Pure Parsimony Using Delayed Haplotype Selection. EPIA Workshops 2007: 621-632 - [c40]Alexandra M. Carvalho, Arlindo L. Oliveira:
Learning bayesian networks consistent with the optimal branching. ICMLA 2007: 369-374 - [c39]Ana Cardoso-Cachopo, Arlindo L. Oliveira:
Semi-supervised single-label text categorization using centroid-based classifiers. SAC 2007: 844-851 - [c38]Luís M. S. Russo, Gonzalo Navarro, Arlindo L. Oliveira:
Approximate String Matching with Lempel-Ziv Compressed Indexes. SPIRE 2007: 264-275 - 2006
- [j13]Nuno D. Mendes, Ana C. Casimiro, Pedro M. Santos, Isabel Sá-Correia, Arlindo L. Oliveira, Ana T. Freitas:
MUSA: a parameter free algorithm for the identification of biologically significant motifs. Bioinform. 22(24): 2996-3002 (2006) - [j12]Miguel C. Teixeira, Pedro T. Monteiro, Pooja Jain, Sandra Tenreiro, Alexandra R. Fernandes, Nuno P. Mira, Marta Alenquer, Ana T. Freitas, Arlindo L. Oliveira, Isabel Sá-Correia:
The YEASTRACT database: a tool for the analysis of transcription regulatory associations in Saccharomyces cerevisiae. Nucleic Acids Res. 34(Database-Issue): 446-451 (2006) - [j11]Alexandra M. Carvalho, Ana T. Freitas, Arlindo L. Oliveira, Marie-France Sagot:
An Efficient Algorithm for the Identification of Structured Motifs in DNA Promoter Sequences. IEEE ACM Trans. Comput. Biol. Bioinform. 3(2): 126-140 (2006) - [c37]José M. Fernandes, Marcelino B. Santos, Arlindo L. Oliveira, João Paulo Teixeira:
Probabilistic Testability Analysis and DFT Methods at RTL. DDECS 2006: 216-217 - [c36]José M. Fernandes, Marcelino B. Santos, Arlindo L. Oliveira, João Paulo Cacho Teixeira:
DFT and Probabilistic Testability Analysis at RTL. HLDVT 2006: 41-47 - [c35]Luís M. S. Russo, Arlindo L. Oliveira:
A Compressed Self-index Using a Ziv-Lempel Dictionary. SPIRE 2006: 163-180 - [c34]Luís Pedro Coelho, Arlindo L. Oliveira:
Dotted Suffix Trees A Structure for Approximate Text Indexing. SPIRE 2006: 329-336 - 2005
- [j10]Miguel M. F. Bugalho, Arlindo L. Oliveira:
Inference of regular languages using state merging algorithms with search. Pattern Recognit. 38(9): 1457-1467 (2005) - [c33]Alexandra M. Carvalho, Ana T. Freitas, Arlindo L. Oliveira, Marie-France Sagot:
A highly scalable algorithm for the extraction of CIS-regulatory regions. APBC 2005: 273-282 - [c32]Luís M. S. Russo, Arlindo L. Oliveira:
An Efficient Algorithm for Generating Super Condensed Neighborhoods. CPM 2005: 104-115 - [c31]André L. Martins, Helena Sofia Pinto, Arlindo L. Oliveira:
Using a More Powerful Teacher to Reduce the Number of Queries of the L* Algorithm in Practical Applications. EPIA 2005: 325-336 - [c30]Luís M. S. Russo, Arlindo L. Oliveira:
Faster Generation of Super Condensed Neighbourhoods Using Finite Automata. SPIRE 2005: 246-255 - [c29]Sara C. Madeira, Arlindo L. Oliveira:
A Linear Time Biclustering Algorithm for Time Series Gene Expression Data. WABI 2005: 39-52 - 2004
- [j9]Alberto H. F. Laender, Arlindo L. Oliveira:
Special issue on string processing and information retrieval. J. Discrete Algorithms 2(1): 1-2 (2004) - [j8]Sara C. Madeira, Arlindo L. Oliveira:
Biclustering Algorithms for Biological Data Analysis: A Survey. IEEE ACM Trans. Comput. Biol. Bioinform. 1(1): 24-45 (2004) - [c28]José M. Fernandes, Marcelino B. Santos, Arlindo L. Oliveira, João Paulo Teixeira:
A Probabilistic Method for the Computation of Testability of RTL Constructs. DATE 2004: 176-181 - [c27]José Poveda, Michael Gould, Arlindo L. Oliveira:
A New Quick Point Location Algorithm. ER (Workshops) 2004: 184-196 - [c26]Cláudia Antunes, Arlindo L. Oliveira:
Constraint Relaxations for Discovering Unknown Sequential Patterns. KDID 2004: 11-32 - [c25]Alexandra M. Carvalho, Arlindo L. Oliveira, Ana T. Freitas, Marie-France Sagot:
A parallel algorithm for the extraction of structured motifs. SAC 2004: 147-153 - [c24]Alexandra M. Carvalho, Ana T. Freitas, Arlindo L. Oliveira, Marie-France Sagot:
Efficient Extraction of Structured Motifs Using Box-Links. SPIRE 2004: 267-268 - 2003
- [j7]