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R. Muhammad Atif Azad
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2020 – today
- 2024
- [j14]Aslak Tøn, Ammar Ahmed, Ali Shariq Imran, Mohib Ullah, R. Muhammad Atif Azad
:
Metadata augmented deep neural networks for wild animal classification. Ecol. Informatics 83: 102805 (2024) - [i2]Aslak Tøn, Ammar Ahmed, Ali Shariq Imran, Mohib Ullah, R. Muhammad Atif Azad:
Metadata augmented deep neural networks for wild animal classification. CoRR abs/2409.04825 (2024) - 2022
- [j13]Amna Dridi
Vec2Dynamics: A Temporal Word Embedding Approach to Exploring the Dynamics of Scientific Keywords - Machine Learning as a Case Study. Big Data Cogn. Comput. 6(1): 21 (2022) - 2021
- [j12]Aliyu Sani Sambo
Evolving simple and accurate symbolic regression models via asynchronous parallel computing. Appl. Soft Comput. 104: 107198 (2021) - [j11]Bizzat Hussain Zaidi, Ihsan Ullah
Incentive Based Load Shedding Management in a Microgrid Using Combinatorial Auction with IoT Infrastructure. Sensors 21(6): 1935 (2021) - [j10]Amna Dridi
Scholarly data mining: A systematic review of its applications. WIREs Data Mining Knowl. Discov. 11(2) (2021) - [c46]Aliyu Sani Sambo
Improving the generalisation of genetic programming models with evaluation time and asynchronous parallel computing. GECCO Companion 2021: 265-266 - [i1]Sean-Kelly Palicki, R. Muhammad Atif Azad:
GA-SVM for Evaluating Heroin Consumption Risk. CoRR abs/2103.12633 (2021) - 2020
- [j9]Julian Hatwell, Mohamed Medhat Gaber
CHIRPS: Explaining random forest classification. Artif. Intell. Rev. 53(8): 5747-5788 (2020) - [j8]Julian Hatwell
Ada-WHIPS: explaining AdaBoost classification with applications in the health sciences. BMC Medical Informatics Decis. Mak. 20(1): 250 (2020) - [c45]Aliyu Sani Sambo
Time Control or Size Control? Reducing Complexity and Improving Accuracy of Genetic Programming Models. EuroGP 2020: 195-210 - [c44]Aliyu Sani Sambo
Feature engineering for improving robustness of crossover in symbolic regression. GECCO Companion 2020: 249-250 - [c43]Aliyu Sani Sambo
Leveraging asynchronous parallel computing to produce simple genetic programming computational models. SAC 2020: 521-528
2010 – 2019
- 2019
- [j7]Amna Dridi
Leap2Trend: A Temporal Word Embedding Approach for Instant Detection of Emerging Scientific Trends. IEEE Access 7: 176414-176428 (2019) - [c42]Amna Dridi
DeepHist: Towards a Deep Learning-based Computational History of Trends in the NIPS. IJCNN 2019: 1-8 - 2018
- [j6]Fergal Lane
DICE: exploiting all bivariate dependencies in binary and multary search spaces. Memetic Comput. 10(3): 245-255 (2018) - [c41]Amna Dridi
k-NN Embedding Stability for word2vec Hyper-Parametrisation in Scientific Text. DS 2018: 328-343 - [p2]R. Muhammad Atif Azad
Comparing Methods to Creating Constants in Grammatical Evolution. Handbook of Grammatical Evolution 2018: 245-262 - [p1]Gopinath Chennupati, R. Muhammad Atif Azad
Synthesis of Parallel Programs on Multi-Cores. Handbook of Grammatical Evolution 2018: 289-315 - 2017
- [j5]Raja Muhammad Atif Azad
Krzysztof Krawiec: Behavioral program synthesis with genetic programming - Springer 2016, ISBN: 978-3-319-27563-5. Genet. Program. Evolvable Mach. 18(1): 111-113 (2017) - [c40]Fergal Lane, R. Muhammad Atif Azad
DICE: A New Family of Bivariate Estimation of Distribution Algorithms Based on Dichotomised Multivariate Gaussian Distributions. EvoApplications (1) 2017: 670-685 - 2016
- [c39]Gopinath Chennupati
Automatic lock-free parallel programming on multi-core processors. CEC 2016: 4143-4150 - [c38]Fergal Lane, R. Muhammad Atif Azad
Principled Evolutionary Algorithm Design and the Kernel Trick. GECCO (Companion) 2016: 149-150 - [c37]David Medernach, Jeannie Fitzgerald
A New Wave: A Dynamic Approach to Genetic Programming. GECCO 2016: 757-764 - [c36]Fergal Lane, R. Muhammad Atif Azad
Principled Evolutionary Algorithm search operator design and the kernel trick. SSCI 2016: 1-9 - 2015
- [c35]Gopinath Chennupati
Automatic Evolution of Parallel Recursive Programs. EuroGP 2015: 167-178 - [c34]Gopinath Chennupati
Automatic Evolution of Parallel Sorting Programs on Multi-cores. EvoApplications 2015: 706-717 - [c33]Gopinath Chennupati
Performance Optimization of Multi-Core Grammatical Evolution Generated Parallel Recursive Programs. GECCO 2015: 1007-1014 - [c32]Gopinath Chennupati
Synthesis of Parallel Iterative Sorts with Multi-Core Grammatical Evolution. GECCO (Companion) 2015: 1059-1066 - [c31]David Medernach, Jeannie Fitzgerald
Wave: Incremental Erosion of Residual Error. GECCO (Companion) 2015: 1285-1292 - [c30]Gopinath Chennupati
On the Automatic Generation of Efficient Parallel Iterative Sorting Algorithms. GECCO (Companion) 2015: 1369-1370 - [c29]David Medernach, Jeannie Fitzgerald
Wave: A Genetic Programming Approach to Divide and Conquer. GECCO (Companion) 2015: 1435-1436 - [c28]Jeannie M. Fitzgerald, R. Muhammad Atif Azad
GEML: Evolutionary Unsupervised and Semi-Supervised Learning of Multi-class Classification with Grammatical Evolution. IJCCI (ECTA) 2015: 83-94 - [c27]Jeannie M. Fitzgerald
GEML: A Grammatical Evolution, Machine Learning Approach to Multi-class Classification. IJCCI (Selected Papers) 2015: 113-134 - 2014
- [j4]Raja Muhammad Atif Azad
A Simple Approach to Lifetime Learning in Genetic Programming-Based Symbolic Regression. Evol. Comput. 22(2): 287-317 (2014) - [c26]R. Muhammad Atif Azad
The Best Things Don't Always Come in Small Packages: Constant Creation in Grammatical Evolution. EuroGP 2014: 186-197 - [c25]R. Muhammad Atif Azad
Efficient interleaved sampling of training data in genetic programming. GECCO (Companion) 2014: 127-128 - [c24]Gopinath Chennupati
Predict the success or failure of an evolutionary algorithm run. GECCO (Companion) 2014: 131-132 - [c23]Gopinath Chennupati
Multi-core GE: automatic evolution of CPU based multi-core parallel programs. GECCO (Companion) 2014: 1041-1044 - [c22]Gopinath Chennupati
Predict the performance of GE with an ACO based machine learning algorithm. GECCO (Companion) 2014: 1353-1360 - [c21]R. Muhammad Atif Azad
Efficient approaches to interleaved sampling of training data for symbolic regression. NaBIC 2014: 176-183 - [c20]Fergal Lane, R. Muhammad Atif Azad
On Effective and Inexpensive Local Search Techniques in Genetic Programming Regression. PPSN 2014: 444-453 - 2013
- [c19]Jeannie Fitzgerald
Bootstrapping to reduce bloat and improve generalisation in genetic programming. GECCO (Companion) 2013: 141-142 - [c18]Jeannie Fitzgerald
A bootstrapping approach to reduce over-fitting in genetic programming. GECCO (Companion) 2013: 1113-1120 - 2011
- [j3]Adil Raja, R. Muhammad Atif Azad
Evolutionary speech quality estimation in VoIP. Soft Comput. 15(1): 89-94 (2011) - [c17]David Wallin, Conor Ryan
Candidate oversampling prefers two to tango: estimation of distribution algorithms. GECCO (Companion) 2011: 65-66 - [c16]R. Muhammad Atif Azad
Variance based selection to improve test set performance in genetic programming. GECCO 2011: 1315-1322 - 2010
- [c15]R. Muhammad Atif Azad
Abstract functions and lifetime learning in genetic programming for symbolic regression. GECCO 2010: 893-900
2000 – 2009
- 2008
- [j2]Adil Raja, R. Muhammad Atif Azad
A Methodology for Deriving VoIP Equipment Impairment Factors for a Mixed NB/WB Context. IEEE Trans. Multim. 10(6): 1046-1058 (2008) - [c14]Adil Raja, R. Muhammad Atif Azad
VoIP speech quality estimation in a mixed context with genetic programming. GECCO 2008: 1627-1634 - [c13]R. Muhammad Atif Azad
Gecco 2008 grammatical evolution tutorial. GECCO (Companion) 2008: 2339-2366 - 2007
- [c12]Adil Raja, R. Muhammad Atif Azad
Real-Time, Non-intrusive Evaluation of VoIP. EuroGP 2007: 217-228 - [c11]Adil Raja, R. Muhammad Atif Azad
An Evolutionary Approach to Speech Quality Estimation. FBIT 2007: 757-760 - 2006
- [c10]Adil Raja, R. Muhammad Atif Azad, Colin Flanagan, Dorel Picovici, Conor Ryan
Non-intrusive quality evaluation of VoIP using genetic programming. BIONETICS 2006: 31 - 2005
- [c9]David Wallin, Conor Ryan
Symbiogenetic coevolution. Congress on Evolutionary Computation 2005: 1613-1620 - [c8]David Power, Conor Ryan
Promoting diversity using migration strategies in distributed genetic algorithms. Congress on Evolutionary Computation 2005: 1831-1838 - [c7]Hammad Majeed, Conor Ryan
Evaluating GP schema in context. GECCO 2005: 1773-1774 - 2004
- [j1]R. Muhammad Atif Azad
An evolutionary approach to Wall Shear Stress prediction in a grafted artery. Appl. Soft Comput. 4(2): 139-148 (2004) - [c6]Eoin Ryan, R. Muhammad Atif Azad
On the Performance of Genetic Operators and the Random Key Representation. EuroGP 2004: 162-173 - [c5]Conor Ryan
A Competitive Building Block Hypothesis. GECCO (2) 2004: 654-665 - 2003
- [c4]Conor Ryan
Sensible Initialisation in Chorus. EuroGP 2003: 394-403 - [c3]R. Muhammad Atif Azad
Structural Emergence with Order Independent Representations. GECCO 2003: 1626-1638 - 2002
- [c2]Conor Ryan
No Coercion and No Prohibition, a Position Independent Encoding Scheme for Evolutionary Algorithms - The Chorus System. EuroGP 2002: 131-142 - [c1]R. Muhammad Atif Azad, Conor Ryan, Mark E. Burke, Ali R. Ansari:
A Re-examination Of The Cart Centering Problem Using The Chorus System. GECCO 2002: 707-715
Coauthor Index
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