Delocalized Unsteady Vortex Region Detectors. - Raphael Fuchs; Ronald Peikert; Filip Sadlo; Bilal Alsallakh; M. Eduard Gröller (VMV, 2008)

Contingency Wheel: Visual Analysis of Large Contingency Tables. - Bilal Alsallakh; M. Eduard Gröller; Silvia Miksch; Martin Suntinger (EuroVA@EuroVis, 2011)

Visual Tracing for the Eclipse Java Debugger. - Bilal Alsallakh; Peter Bodesinsky; Alexander Gruber; Silvia Miksch (CSMR, 2012)

Visualizing Arrays in the Eclipse Java IDE. - Bilal Alsallakh; Peter Bodesinsky; Silvia Miksch; Dorna Nasseri (CSMR, 2012)

Reinventing the Contingency Wheel: Scalable Visual Analytics of Large Categorical Data. - Bilal Alsallakh; Wolfgang Aigner; Silvia Miksch; M. Eduard Gröller (IEEE Trans. Vis. Comput. Graph., 2012)

Radial Sets: Interactive Visual Analysis of Large Overlapping Sets. - Bilal Alsallakh; Wolfgang Aigner; Silvia Miksch; Helwig Hauser (IEEE Trans. Vis. Comput. Graph., 2013)

TimeBench: A Data Model and Software Library for Visual Analytics of Time-Oriented Data. - Alexander Rind; Tim Lammarsch; Wolfgang Aigner; Bilal Alsallakh; Silvia Miksch (IEEE Trans. Vis. Comput. Graph., 2013)

Evaluating the Dot-Based Contingency Wheel: Results from a Usability and Utility Study. - Margit Pohl; Florian Scholz; Simone Kriglstein; Bilal Alsallakh; Silvia Miksch (HCI (12), 2014)

Visual process mining: Event data exploration and analysis. - Peter Bodesinsky; Bilal Alsallakh; Theresia Gschwandtner; Silvia Miksch (IEEE VAST, 2014)

Analyzing parameter influence on time-series segmentation and labeling. - Martin Rohlig; Martin Luboschik; Heidrun Schumann; Markus Bögl; Bilal Alsallakh; Silvia Miksch (IEEE VAST, 2014)

A Visual Analytics Approach to Segmenting and Labeling Multivariate Time Series Data. - Bilal Alsallakh; Markus Bögl; Theresia Gschwandtner; Silvia Miksch; Bilal Esmael; Arghad Arnaout; Gerhard Thonhauser; Philipp Zöllner (EuroVA@EuroVis, 2014)

Visualizing Sets and Set-typed Data: State-of-the-Art and Future Challenges. - Bilal Alsallakh; Luana Micallef; Wolfgang Aigner; Helwig Hauser; Silvia Miksch; Peter J. Rodgers (EuroVis (STARs), 2014)

Visual Methods for Analyzing Probabilistic Classification Data. - Bilal Alsallakh; Allan Hanbury; Helwig Hauser; Silvia Miksch; Andreas Rauber (IEEE Trans. Vis. Comput. Graph., 2014)

Supporting activity recognition by visual analytics. - Martin Rohlig; Martin Luboschik; Frank Krüger 001; Thomas Kirste; Heidrun Schumann; Markus Bögl; Bilal Alsallakh; Silvia Miksch (VAST, 2015)

Exploration and Assessment of Event Data. - Peter Bodesinsky; Bilal Alsallakh; Theresia Gschwandtner; Silvia Miksch (EuroVA@EuroVis, 2015)

The State-of-the-Art of Set Visualization. - Bilal Alsallakh; Luana Micallef; Wolfgang Aigner; Helwig Hauser; Silvia Miksch; Peter J. Rodgers (Comput. Graph. Forum, 2016)

A task-based evaluation of combined set and network visualization. - Peter J. Rodgers; Gem Stapleton; Bilal Alsallakh; Luana Micallef; Robert Baker 001; Simon J. Thompson (Inf. Sci., 2016)

Vials: Visualizing Alternative Splicing of Genes. - Hendrik Strobelt; Bilal Alsallakh; Joseph Botros; Brant Peterson; Mark Borowsky; Hanspeter Pfister; Alexander Lex (IEEE Trans. Vis. Comput. Graph., 2016)

Prediction Scores as a Window into Classifier Behavior. - Medha Katehara; Emma Beauxis-Aussalet; Bilal Alsallakh (CoRR, 2017)

PowerSet: A Comprehensive Visualization of Set Intersections. - Bilal Alsallakh; Liu Ren (IEEE Trans. Vis. Comput. Graph., 2017)

Do Convolutional Neural Networks Learn Class Hierarchy? - Bilal Alsallakh; Amin Jourabloo; Mao Ye 011; Xiaoming Liu 002; Liu Ren (IEEE Trans. Vis. Comput. Graph., 2018)

Visualizing Classification Structure of Large-Scale Classifiers. - Bilal Alsallakh; Zhixin Yan; Shabnam Ghaffarzadegan; Zeng Dai; Liu Ren (CoRR, 2020)

Captum: A unified and generic model interpretability library for PyTorch. - Narine Kokhlikyan; Vivek Miglani; Miguel Martin 001; Edward Wang; Bilal Alsallakh; Jonathan Reynolds; Alexander Melnikov; Natalia Kliushkina; Carlos Araya; Siqi Yan; Orion Reblitz-Richardson (CoRR, 2020)

Investigating Saturation Effects in Integrated Gradients. - Vivek Miglani; Narine Kokhlikyan; Bilal Alsallakh; Miguel Martin 001; Orion Reblitz-Richardson (CoRR, 2020)

Mind the Pad - CNNs Can Develop Blind Spots. - Bilal Alsallakh; Narine Kokhlikyan; Vivek Miglani; Jun Yuan; Orion Reblitz-Richardson (ICLR, 2021)

Investigating sanity checks for saliency maps with image and text classification. - Narine Kokhlikyan; Vivek Miglani; Bilal Alsallakh; Miguel Martin 001; Orion Reblitz-Richardson (CoRR, 2021)

Method cards for prescriptive machine-learning transparency. - David Adkins; Bilal Alsallakh; Adeel Cheema; Narine Kokhlikyan; Emily McReynolds; Pushkar Mishra; Chavez Procope; Jeremy Sawruk; Erin Wang; Polina Zvyagina (CAIN, 2022)

Prescriptive and Descriptive Approaches to Machine-Learning Transparency. - David Adkins; Bilal Alsallakh; Adeel Cheema; Narine Kokhlikyan; Emily McReynolds; Pushkar Mishra; Chavez Procope; Jeremy Sawruk; Erin Wang; Polina Zvyagina (CHI Extended Abstracts, 2022)

A Tour of Visualization Techniques for Computer Vision Datasets. - Bilal Alsallakh; Pamela Bhattacharya; Vanessa Feng; Narine Kokhlikyan; Orion Reblitz-Richardson; Rahul Rajan; David Yan (CoRR, 2022)

Bias Mitigation Framework for Intersectional Subgroups in Neural Networks. - Narine Kokhlikyan; Bilal Alsallakh; Fulton Wang; Vivek Miglani; Oliver Aobo Yang; David Adkins (CoRR, 2022)

Mind the Pool: Convolutional Neural Networks Can Overfit Input Size. - Bilal Alsallakh; David Yan; Narine Kokhlikyan; Vivek Miglani; Orion Reblitz-Richardson; Pamela Bhattacharya (ICLR, 2023)

Learned Temporal Aggregations for Fraud Classification on E-Commerce Platforms. - Xiao Ling; David Yan; Bilal Alsallakh; Ashutosh Pandey; Manan Bakshi; Pamela Bhattacharya (WWW (Companion Volume), 2023)

On Symmetries in Convolutional Weights. - Bilal Alsallakh; Timothy Wroge; Vivek Miglani; Narine Kokhlikyan (CoRR, 2025)