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Ajitha Rajan
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2020 – today
- 2024
- [c40]Xiaoliang Wu, Peter Bell, Ajitha Rajan:
Can We Trust Explainable AI Methods on ASR? An Evaluation on Phoneme Recognition. ICASSP 2024: 10296-10300 - [c39]Chao Peng
, Zhengwei Lv
Hawkeye: Change-targeted Testing for Android Apps based on Deep Reinforcement Learning. ICSE-SEIP 2024: 298-308 - [i21]Amy Rafferty
Transparent and Clinically Interpretable AI for Lung Cancer Detection in Chest X-Rays. CoRR abs/2403.19444 (2024) - [i20]Xiaoliang Wu, Chau Luu, Peter Bell, Ajitha Rajan:
Explainable Attribute-Based Speaker Verification. CoRR abs/2405.19796 (2024) - 2023
- [c38]Xiaoliang Wu, Peter Bell, Ajitha Rajan:
Explanations for Automatic Speech Recognition. ICASSP 2023: 1-5 - [c37]Nikolaos Louloudakis, Perry Gibson, José Cano, Ajitha Rajan:
DeltaNN: Assessing the Impact of Computational Environment Parameters on the Performance of Image Recognition Models. ICSME 2023: 414-424 - [c36]Nikolaos Louloudakis, Perry Gibson, José Cano, Ajitha Rajan:
Fault Localization for Buggy Deep Learning Framework Conversions in Image Recognition. ASE 2023: 1795-1799 - [c35]Bénédicte Legastelois, Amy Rafferty
Challenges in Explaining Brain Tumor Detection. TAS 2023: 21:1-21:8 - [i19]Xiaoliang Wu, Peter Bell, Ajitha Rajan:
Explanations for Automatic Speech Recognition. CoRR abs/2302.14062 (2023) - [i18]Foivos Tsimpourlas, Pavlos Petoumenos, Min Xu, Chris Cummins, Kim M. Hazelwood, Ajitha Rajan, Hugh Leather:
BenchDirect: A Directed Language Model for Compiler Benchmarks. CoRR abs/2303.01557 (2023) - [i17]Aryo Pradipta Gema
Vaxformer: Antigenicity-controlled Transformer for Vaccine Design Against SARS-CoV-2. CoRR abs/2305.11194 (2023) - [i16]Xiaoliang Wu, Peter Bell, Ajitha Rajan:
Can We Trust Explainable AI Methods on ASR? An Evaluation on Phoneme Recognition. CoRR abs/2305.18011 (2023) - [i15]Aryo Pradipta Gema
Knowledge Graph Embeddings in the Biomedical Domain: Are They Useful? A Look at Link Prediction, Rule Learning, and Downstream Polypharmacy Tasks. CoRR abs/2305.19979 (2023) - [i14]Nikolaos Louloudakis, Perry Gibson, José Cano, Ajitha Rajan:
MutateNN: Mutation Testing of Image Recognition Models Deployed on Hardware Accelerators. CoRR abs/2306.01697 (2023) - [i13]Nikolaos Louloudakis, Perry Gibson, José Cano, Ajitha Rajan:
Fault Localization for Framework Conversions of Image Recognition Models. CoRR abs/2306.06157 (2023) - [i12]Nikolaos Louloudakis, Perry Gibson, José Cano, Ajitha Rajan:
A Differential Testing Framework to Evaluate Image Recognition Model Robustness. CoRR abs/2306.06208 (2023) - [i11]Chao Peng, Zhengwei Lv, Jiarong Fu, Jiayuan Liang, Zhao Zhang, Ajitha Rajan, Ping Yang:
Hawkeye: Change-targeted Testing for Android Apps based on Deep Reinforcement Learning. CoRR abs/2309.01519 (2023) - [i10]Nikolaos Louloudakis, Perry Gibson, José Cano, Ajitha Rajan:
Fix-Con: Automatic Fault Localization and Repair of Deep Learning Model Conversions. CoRR abs/2312.15101 (2023) - 2022
- [j5]Foivos Tsimpourlas
Embedding and classifying test execution traces using neural networks. IET Softw. 16(3): 301-316 (2022) - [j4]Vanya Yaneva
GPU acceleration of finite state machine input execution: Improving scale and performance. Softw. Test. Verification Reliab. 32(1) (2022) - [c34]Foivos Tsimpourlas, Pavlos Petoumenos, Min Xu, Chris Cummins, Kim M. Hazelwood, Ajitha Rajan, Hugh Leather:
BenchPress: A Deep Active Benchmark Generator. PACT 2022: 505-516 - [c33]Xiaoliang Wu, Ajitha Rajan:
Catch Me If You Can: Blackbox Adversarial Attacks on Automatic Speech Recognition using Frequency Masking. APSEC 2022: 169-178 - [c32]Dominic Phillips
Generating Immune-aware SARS-CoV-2 Spike Proteins for Universal Vaccine Design. Healthcare AI and COVID-19 Workshop 2022: 100-116 - [c31]Amy Rafferty
Explainable Artificial Intelligence for Breast Tumour Classification: Helpful or Harmful. iMIMIC@MICCAI 2022: 104-123 - [i9]Xin Du, Bénédicte Legastelois, Bhargavi Ganesh, Ajitha Rajan, Hana Chockler, Vaishak Belle, Stuart Anderson, Subramanian Ramamoorthy:
Vision Checklist: Towards Testable Error Analysis of Image Models to Help System Designers Interrogate Model Capabilities. CoRR abs/2201.11674 (2022) - [i8]Foivos Tsimpourlas, Pavlos Petoumenos, Min Xu, Chris Cummins, Kim M. Hazelwood, Ajitha Rajan, Hugh Leather:
BenchPress: A Deep Active Benchmark Generator. CoRR abs/2208.06555 (2022) - [i7]Nikolaos Louloudakis, Perry Gibson, José Cano, Ajitha Rajan:
Exploring Effects of Computational Parameter Changes to Image Recognition Systems. CoRR abs/2211.00471 (2022) - 2021
- [c30]Sefa Akca
Testing Smart Contracts: Which Technique Performs Best? ESEM 2021: 21:1-21:11 - [c29]Chao Peng, Ajitha Rajan, Tianqin Cai:
CAT: Change-focused Android GUI Testing. ICSME 2021: 460-470 - [c28]Foivos Tsimpourlas, Ajitha Rajan, Miltiadis Allamanis:
Supervised learning over test executions as a test oracle. SAC 2021: 1521-1531 - [i6]Xiaoliang Wu, Ajitha Rajan:
Blackbox Untargeted Adversarial Testing of Automatic Speech Recognition Systems. CoRR abs/2112.01821 (2021) - 2020
- [c27]Bruce Collie
M3: Semantic API Migrations. ASE 2020: 90-102 - [c26]Chao Peng, Ajitha Rajan:
Automated test generation for OpenCL kernels using fuzzing and constraint solving. GPGPU@PPoPP 2020: 61-70 - [i5]Foivos Tsimpourlas, Ajitha Rajan, Miltiadis Allamanis:
Learning to Encode and Classify Test Executions. CoRR abs/2001.02444 (2020) - [i4]Bruce Collie, Philip Ginsbach, Jackson Woodruff, Ajitha Rajan, Michael F. P. O'Boyle:
M3: Semantic API Migrations. CoRR abs/2008.12118 (2020) - [i3]Chao Peng, Ajitha Rajan:
CAT: Change-focused Android GUI Testing. CoRR abs/2011.11766 (2020)
2010 – 2019
- 2019
- [c25]Chao Peng, Sefa Akca
SIF: A Framework for Solidity Contract Instrumentation and Analysis. APSEC 2019: 466-473 - [c24]Sefa Akca
SolAnalyser: A Framework for Analysing and Testing Smart Contracts. APSEC 2019: 482-489 - [c23]Chao Peng, Ajitha Rajan:
CLTestCheck: Measuring Test Effectiveness for GPU Kernels. FASE 2019: 315-331 - [i2]Chao Peng, Ajitha Rajan:
SIF: A Framework for Solidity Code Instrumentation and Analysis. CoRR abs/1905.01659 (2019) - 2018
- [j3]Panagiotis Stratis
Speeding up test execution with increased cache locality. Softw. Test. Verification Reliab. 28(5) (2018) - [c22]Vanya Yaneva, Arnav Kapoor
Accelerated Finite State Machine Test Execution Using GPUs. APSEC 2018: 109-118 - [c21]Panagiotis Stratis, Vanya Yaneva, Ajitha Rajan:
Assessing the effect of data transformations on test suite compilation. ESEM 2018: 4:1-4:10 - [c20]Panagiotis Stratis, Ajitha Rajan:
Reordering tests for faster test suite execution. ICSE (Companion Volume) 2018: 442-443 - 2017
- [c19]Vanya Yaneva, Ajitha Rajan, Christophe Dubach:
Compiler-assisted test acceleration on GPUs for embedded software. ISSTA 2017: 35-45 - [c18]Vanya Yaneva, Ajitha Rajan, Christophe Dubach:
ParTeCL: parallel testing using OpenCL. ISSTA 2017: 384-387 - 2016
- [j2]Gregory Gay
The Effect of Program and Model Structure on the Effectiveness of MC/DC Test Adequacy Coverage. ACM Trans. Softw. Eng. Methodol. 25(3): 25:1-25:34 (2016) - [c17]Ajitha Rajan, Adel Noureddine
A Study on the Influence of Software and Hardware Features on Program Energy. ESEM 2016: 37:1-37:10 - [c16]Panagiotis Stratis, Ajitha Rajan:
Test case permutation to improve execution time. ASE 2016: 45-50 - [c15]Ajitha Rajan, Boris Penev:
Sensitivity of Application Performance to Resource Availability. VALUETOOLS 2016 - 2015
- [c14]Adel Noureddine
Optimising Energy Consumption of Design Patterns. ICSE (2) 2015: 623-626 - [p1]Ajitha Rajan, Daniel Kroening
Measuring Change Impact on Program Behaviour. Validation of Evolving Software 2015: 125-145 - 2014
- [c13]Ajitha Rajan, Subodh Sharma, Peter Schrammel
Accelerated test execution using GPUs. ASE 2014: 97-102 - 2013
- [c12]Hana Chockler, Giovanni Denaro
PINCETTE - Validating Changes and Upgrades in Networked Software. CSMR 2013: 461-464 - 2012
- [i1]Pamela Farries, Ajitha Rajan:
PINCETTE - Validating Changes and Upgrades in Networked Software. ERCIM News 2012(88) (2012) - 2011
- [c11]Virginia Papailiopoulou, Ajitha Rajan, Ioannis Parissis:
Structural Test Coverage Criteria for Integration Testing of LUSTRE/SCADE Programs. FMICS 2011: 85-101 - 2010
- [c10]Ajitha Rajan, Lydie du Bousquet, Yves Ledru, Germán Vega
Assertion-based test oracles for home automation systems. MOMPES 2010: 45-52 - [c9]Matt Staats, Michael W. Whalen, Ajitha Rajan, Mats Per Erik Heimdahl:
Coverage Metrics for Requirements-Based Testing: Evaluation of Effectiveness. NASA Formal Methods 2010: 161-170
2000 – 2009
- 2009
- [c8]Lydie du Bousquet, Ajitha Rajan, Catherine Oriat, Jean-Luc Richier, Germán Vega:
Service specification and validation in the context of the home. ICFI 2009: 207-219 - 2008
- [c7]Ajitha Rajan, Michael W. Whalen, Matt Staats, Mats Per Erik Heimdahl:
Requirements Coverage as an Adequacy Measure for Conformance Testing. ICFEM 2008: 86-104 - [c6]Ajitha Rajan, Michael W. Whalen, Mats Per Erik Heimdahl:
The effect of program and model structure on mc/dc test adequacy coverage. ICSE 2008: 161-170 - [c5]Matt Staats, Weijia Deng, Ajitha Rajan, Mats Per Erik Heimdahl, Kurt Woodham:
ReqsCov: A Tool for Measuring Test-Adequacy over Requirements. ASE 2008: 499-500 - 2007
- [c4]Ajitha Rajan, Michael W. Whalen, Mats Per Erik Heimdahl:
Model Validation using Automatically Generated Requirements-Based Tests. HASE 2007: 95-104 - 2006
- [j1]Ajitha Rajan:
Automated requirements-based test case generation. ACM SIGSOFT Softw. Eng. Notes 31(6): 1-2 (2006) - [c3]Renée C. Bryce, Ajitha Rajan, Mats Per Erik Heimdahl:
Interaction Testing in Model-Based Development: Effect on Model-Coverage. APSEC 2006: 259-268 - [c2]Michael W. Whalen, Ajitha Rajan, Mats Per Erik Heimdahl, Steven P. Miller:
Coverage metrics for requirements-based testing. ISSTA 2006: 25-36 - [c1]Ajitha Rajan:
Coverage Metrics to Measure Adequacy of Black-Box Test Suites. ASE 2006: 335-338
Coauthor Index
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last updated on 2024-11-28 20:34 CET by the dblp team
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