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ORCIDBilal Alsallakh
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2020 – today
- 2023
[c16]Bilal Alsallakh, David Yan, Narine Kokhlikyan, Vivek Miglani, Orion Reblitz-Richardson, Pamela Bhattacharya:
Mind the Pool: Convolutional Neural Networks Can Overfit Input Size. ICLR 2023- [c15]Xiao Ling
, David Yan, Bilal Alsallakh, Ashutosh Pandey, Manan Bakshi, Pamela Bhattacharya:
Learned Temporal Aggregations for Fraud Classification on E-Commerce Platforms. WWW (Companion Volume) 2023: 1365-1372 - 2022
- [c14]David Adkins, Bilal Alsallakh, Adeel Cheema, Narine Kokhlikyan, Emily McReynolds, Pushkar Mishra, Chavez Procope, Jeremy Sawruk, Erin Wang, Polina Zvyagina:
Method cards for prescriptive machine-learning transparency. CAIN 2022: 90-100 - [c13]David Adkins, Bilal Alsallakh, Adeel Cheema, Narine Kokhlikyan, Emily McReynolds, Pushkar Mishra, Chavez Procope, Jeremy Sawruk, Erin Wang, Polina Zvyagina:
Prescriptive and Descriptive Approaches to Machine-Learning Transparency. CHI Extended Abstracts 2022: 402:1-402:9 - [i10]Bilal Alsallakh, Pamela Bhattacharya, Vanessa Feng, Narine Kokhlikyan, Orion Reblitz-Richardson, Rahul Rajan, David Yan:
A Tour of Visualization Techniques for Computer Vision Datasets. CoRR abs/2204.08601 (2022) - [i9]David Adkins, Bilal Alsallakh, Adeel Cheema, Narine Kokhlikyan, Emily McReynolds, Pushkar Mishra, Chavez Procope, Jeremy Sawruk, Erin Wang, Polina Zvyagina:
Prescriptive and Descriptive Approaches to Machine-Learning Transparency. CoRR abs/2204.13582 (2022) - [i8]Narine Kokhlikyan, Bilal Alsallakh, Fulton Wang, Vivek Miglani, Oliver Aobo Yang, David Adkins:
Bias Mitigation Framework for Intersectional Subgroups in Neural Networks. CoRR abs/2212.13014 (2022) - 2021
- [c12]Bilal Alsallakh, Narine Kokhlikyan, Vivek Miglani, Jun Yuan, Orion Reblitz-Richardson:
Mind the Pad - CNNs Can Develop Blind Spots. ICLR 2021 - [i7]Narine Kokhlikyan, Vivek Miglani, Bilal Alsallakh, Miguel Martin, Orion Reblitz-Richardson:
Investigating sanity checks for saliency maps with image and text classification. CoRR abs/2106.07475 (2021) - 2020
- [i6]Bilal Alsallakh, Zhixin Yan, Shabnam Ghaffarzadegan, Zeng Dai, Liu Ren:
Visualizing Classification Structure of Large-Scale Classifiers. CoRR abs/2007.06068 (2020) - [i5]Narine Kokhlikyan, Vivek Miglani, Miguel Martin, Edward Wang, Bilal Alsallakh, Jonathan Reynolds, Alexander Melnikov, Natalia Kliushkina, Carlos Araya, Siqi Yan, Orion Reblitz-Richardson:
Captum: A unified and generic model interpretability library for PyTorch. CoRR abs/2009.07896 (2020) - [i4]Bilal Alsallakh, Narine Kokhlikyan, Vivek Miglani, Jun Yuan, Orion Reblitz-Richardson:
Mind the Pad - CNNs can Develop Blind Spots. CoRR abs/2010.02178 (2020) - [i3]Vivek Miglani, Narine Kokhlikyan, Bilal Alsallakh, Miguel Martin, Orion Reblitz-Richardson:
Investigating Saturation Effects in Integrated Gradients. CoRR abs/2010.12697 (2020)
2010 – 2019
- 2018
- [j9]Bilal Alsallakh, Amin Jourabloo, Mao Ye, Xiaoming Liu, Liu Ren:
Do Convolutional Neural Networks Learn Class Hierarchy? IEEE Trans. Vis. Comput. Graph. 24(1): 152-162 (2018) - [e1]George Bebis, Richard Boyle, Bahram Parvin, Darko Koracin, Matt Turek, Srikumar Ramalingam, Kai Xu, Stephen Lin, Bilal Alsallakh, Jing Yang, Eduardo Cuervo, Jonathan Ventura:
Advances in Visual Computing - 13th International Symposium, ISVC 2018, Las Vegas, NV, USA, November 19-21, 2018, Proceedings. Lecture Notes in Computer Science 11241, Springer 2018, ISBN 978-3-030-03800-7 [contents] - 2017
- [j8]Bilal Alsallakh, Liu Ren:
PowerSet: A Comprehensive Visualization of Set Intersections. IEEE Trans. Vis. Comput. Graph. 23(1): 361-370 (2017) - [i2]Bilal Alsallakh, Amin Jourabloo, Mao Ye, Xiaoming Liu, Liu Ren:
Do Convolutional Neural Networks Learn Class Hierarchy? CoRR abs/1710.06501 (2017) - [i1]Medha Katehara, Emma Beauxis-Aussalet, Bilal Alsallakh:
Prediction Scores as a Window into Classifier Behavior. CoRR abs/1711.06795 (2017) - 2016
- [j7]Bilal Alsallakh, Luana Micallef, Wolfgang Aigner, Helwig Hauser, Silvia Miksch, Peter J. Rodgers:
The State-of-the-Art of Set Visualization. Comput. Graph. Forum 35(1): 234-260 (2016) - [j6]Peter J. Rodgers, Gem Stapleton, Bilal Alsallakh, Luana Micallef, Robert Baker, Simon J. Thompson:
A task-based evaluation of combined set and network visualization. Inf. Sci. 367-368: 58-79 (2016) - [j5]Hendrik Strobelt, Bilal Alsallakh, Joseph Botros, Brant Peterson, Mark Borowsky, Hanspeter Pfister, Alexander Lex:
Vials: Visualizing Alternative Splicing of Genes. IEEE Trans. Vis. Comput. Graph. 22(1): 399-408 (2016) - 2015
- [c11]Martin Rohlig, Martin Luboschik, Frank Krüger, Thomas Kirste, Heidrun Schumann, Markus Bögl, Bilal Alsallakh, Silvia Miksch:
Supporting activity recognition by visual analytics. VAST 2015: 41-48 - [c10]Peter Bodesinsky, Bilal Alsallakh, Theresia Gschwandtner, Silvia Miksch:
Exploration and Assessment of Event Data. EuroVA@EuroVis 2015: 67-71 - 2014
- [j4]Bilal Alsallakh, Allan Hanbury, Helwig Hauser, Silvia Miksch, Andreas Rauber:
Visual Methods for Analyzing Probabilistic Classification Data. IEEE Trans. Vis. Comput. Graph. 20(12): 1703-1712 (2014) - [c9]Margit Pohl, Florian Scholz, Simone Kriglstein, Bilal Alsallakh, Silvia Miksch:
Evaluating the Dot-Based Contingency Wheel: Results from a Usability and Utility Study. HCI (12) 2014: 76-86 - [c8]Peter Bodesinsky, Bilal Alsallakh, Theresia Gschwandtner, Silvia Miksch:
Visual process mining: Event data exploration and analysis. IEEE VAST 2014: 229-230 - [c7]Martin Rohlig, Martin Luboschik, Heidrun Schumann, Markus Bögl, Bilal Alsallakh, Silvia Miksch:
Analyzing parameter influence on time-series segmentation and labeling. IEEE VAST 2014: 269-270 - [c6]Bilal Alsallakh, Markus Bögl, Theresia Gschwandtner, Silvia Miksch, Bilal Esmael, Arghad Arnaout, Gerhard Thonhauser, Philipp Zöllner:
A Visual Analytics Approach to Segmenting and Labeling Multivariate Time Series Data. EuroVA@EuroVis 2014 - [c5]Bilal Alsallakh, Luana Micallef, Wolfgang Aigner, Helwig Hauser, Silvia Miksch, Peter J. Rodgers:
Visualizing Sets and Set-typed Data: State-of-the-Art and Future Challenges. EuroVis (STARs) 2014 - 2013
- [j3]Alexander Rind, Tim Lammarsch, Wolfgang Aigner, Bilal Alsallakh, Silvia Miksch:
TimeBench: A Data Model and Software Library for Visual Analytics of Time-Oriented Data. IEEE Trans. Vis. Comput. Graph. 19(12): 2247-2256 (2013) - [j2]Bilal Alsallakh, Wolfgang Aigner, Silvia Miksch, Helwig Hauser:
Radial Sets: Interactive Visual Analysis of Large Overlapping Sets. IEEE Trans. Vis. Comput. Graph. 19(12): 2496-2505 (2013) - 2012
- [j1]Bilal Alsallakh, Wolfgang Aigner, Silvia Miksch, M. Eduard Gröller:
Reinventing the Contingency Wheel: Scalable Visual Analytics of Large Categorical Data. IEEE Trans. Vis. Comput. Graph. 18(12): 2849-2858 (2012) - [c4]Bilal Alsallakh, Peter Bodesinsky, Silvia Miksch, Dorna Nasseri:
Visualizing Arrays in the Eclipse Java IDE. CSMR 2012: 541-544 - [c3]Bilal Alsallakh, Peter Bodesinsky, Alexander Gruber, Silvia Miksch:
Visual Tracing for the Eclipse Java Debugger. CSMR 2012: 545-548 - 2011
- [c2]Bilal Alsallakh, M. Eduard Gröller, Silvia Miksch, Martin Suntinger:
Contingency Wheel: Visual Analysis of Large Contingency Tables. EuroVA@EuroVis 2011
2000 – 2009
- 2008
- [c1]Raphael Fuchs, Ronald Peikert, Filip Sadlo, Bilal Alsallakh, M. Eduard Gröller:
Delocalized Unsteady Vortex Region Detectors. VMV 2008: 81-90
Coauthor Index
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