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- 2022
-
Mark
Early Identification of Invalid Bug Reports in Industrial Settings – A Case Study
Laiq, Muhammad ; Ali, Nauman bin ; Böstler, Jürgen and Engström, Emelie LU
(2022)
23rd International Conference on Product-Focused Software Process Improvement, PROFES 2022
In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
13709 LNCS.
p.497-507
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
Deep Learning for Modelling of Urban Drainage Networks: A Physics-informed Surrogate Model Using Measured and Simulated Data
Haghighatafshar, Salar LU
; Bergman, Alexander
and Yamanee-Nolin, Mikael
LU
(2022)
IWA World Water Congress and Exhibition, 2022
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
Long-Short Term Memory Technique for Monthly Rainfall Prediction in Thale Sap Songkhla River Basin, Thailand
Salaeh, Nureehan ; Ditthakit, Pakorn ; Pinthong, Sirimon ; Abul Hasan, Mohd ; Islam, Saiful ; Mohammadi, Babak LU
and Thuy Linh, Nguyen
(2022)
In Symmetry
14(8).
- Contribution to journal › Article
-
Mark
Extending GCC-PHAT using Shift Equivariant Neural Networks
Berg, Axel LU
; O'Connor, Mark
; Åström, Kalle
LU
and Oskarsson, Magnus
LU
(2022)
Interspeech 2022
In Interspeech
p.1791-1795
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
eVisits in the digital era of Swedish primary care
- Thesis › Doctoral thesis (compilation)
-
Mark
Optimizing Exposome-wide Assessments in Cardiometabolic Risk
- Thesis › Doctoral thesis (compilation)
-
Mark
On-line compositional measurements of AuAg aerosol nanoparticles using optical emission from spark ablation
Snellman, Markus LU ; Samuelsson, Per LU ; Eriksson, Axel LU
; Li, Zhongshan
LU
and Deppert, Knut
LU
(2022)
International Aerosol Conference 2022
- Contribution to conference › Abstract
-
Mark
Machine Learning based Approach for the Prediction of Surface Integrity in Machining
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
SMIRK : A machine learning-based pedestrian automatic emergency braking system with a complete safety case
- Contribution to journal › Article
-
Mark
PON-All : Amino Acid Substitution Tolerance Predictor for All Organisms
- Contribution to journal › Article