Madhavji, Nazim
60  Ergebnisse:
Personensuche X
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1

Attention Is not Always What You Need: Towards Efficient Cl..:

, In: Lecture Notes in Networks and Systems; Intelligent Computing,
Wahba, Yasmen ; Madhavji, Nazim ; Steinbacher, John - p. 1159-1166 , 2023
 
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2

A Comparison of SVM Against Pre-trained Language Models (PL..:

, In: Machine Learning, Optimization, and Data Science; Lecture Notes in Computer Science,
 
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3

Reducing Misclassification Due to Overlapping Classes in Te..:

, In: Lecture Notes in Networks and Systems; Advances in Information and Communication,
 
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5

Correction to: Requirements Engineering: Foundation for Sof..:

, In: Requirements Engineering: Foundation for Software Quality; Lecture Notes in Computer Science,
 
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6

Welcome from the Workshop Chairs:

, In: 2018 IEEE 7th International Workshop on Empirical Requirements Engineering (EmpiRE),
 
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8

Diagnosing new faults using mutants and prior faults (NIER ..:

, In: Proceedings of the 33rd International Conference on Software Engineering,
 
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9

Report on the working conference on requirements engineerin..:

Glinz, Martin ; Heymans, Patrick ; Persson, Anne...
ACM SIGSOFT Software Engineering Notes.  34 (2009)  5 - p. 40-45 , 2009
 
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10

Applying agile practices to drive continuous improvement: a..:

, In: Proceedings of the 2009 Conference of the Center for Advanced Studies on Collaborative Research,
Begg, Robert ; Madhavji, Nazim - p. 348 ff. , 2009
 
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11

A Hybrid Continual Learning Approach for Efficient Hierarch..:

, In: 2023 IEEE International Conference on Industrial Technology (ICIT),
 
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12

Automatically Classifying Non-functional Requirements with ..:

, In: Requirements Engineering: Foundation for Software Quality; Lecture Notes in Computer Science,
 
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14

QualiBD: A Tool for Modelling Quality Requirements for Big ..:

, In: 2019 IEEE International Conference on Big Data (Big Data),
Arruda, Darlan ; Madhavji, Nazim H. - p. 5977-5979 , 2019
 
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15

Towards a Meta-model for Requirements-Driven Information fo..:

, In: Requirements Engineering: Foundation for Software Quality; Lecture Notes in Computer Science,
 
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