Shereen Elsayed

20 papers A 2B 1C 1Journal 10Unranked 6
YearRankTypeTitle / Venue / Authors
2025 J jnl
An inter- and intra-attention model for multi-behavior recommendation.
Int. J. Data Sci. Anal.
Shereen Elsayed, Ahmed Rashed, Lars Schmidt-Thieme
2025 — conf
Attribute and Context-Aware Multi-Behavior Model for Unique-Item Recommendation.
ECML/PKDD (9)
Shereen Elsayed, Ngoc Son Le, Ahmed Rashed, Lars Schmidt-Thieme
2025 — conf
Attribute-Aware Sequential Recommendation Model for Used Car Auctions.
ECML/PKDD (9)
Shereen Elsayed, Ngoc Son Le, Ahmed Rashed, Lukas Hestermeyer, Radoslaw Wlodarczyk, Maximilian Stubbemann, Lars Schmidt-Thieme
2024 J jnl
HMAR: Hierarchical Masked Attention for Multi-Behaviour Recommendation.
CoRR
Shereen Elsayed, Ahmed Rashed, Lars Schmidt-Thieme
2024 — conf
HMAR: Hierarchical Masked Attention for Multi-behaviour Recommendation.
PAKDD (5)
Shereen Elsayed, Ahmed Rashed, Lars Schmidt-Thieme
2024 — conf
Just the FACTS: Flexible and Energy Efficient Federated Access Control for the Edge.
FMEC
Shereen Elsayed, Chandra Krintz, Rich Wolski
2024 — conf
Learning Set Embeddings for Fashion Compatibility Recommendation.
SURE@RecSys
Indra Firmansyah, Randolf Scholz, Adrian Nahmendorff, Ngoc Son Le, Shereen Elsayed, Lars Schmidt-Thieme
2024 A conf
Multi-Behavioral Sequential Recommendation.
RecSys
Shereen Elsayed, Ahmed Rashed, Lars Schmidt-Thieme
2023 J jnl
Context-Aware Sequential Model for Multi-Behaviour Recommendation.
CoRR
Shereen Elsayed, Ahmed Rashed, Lars Schmidt-Thieme
2023 B conf
Deep Multi-Representation Model for Click-Through Rate Prediction.
IJCNN
Shereen Elsayed, Lars Schmidt-Thieme
2023 C conf
Depot: Dependency-Eager Platform of Transformations.
CloudCom
Kerem Çelik, Samridhi Maheshwari, Shereen Elsayed, Markus Mock, Chandra Krintz, Rich Wolski
2022 J jnl
A.I. and Data-Driven Mobility at Volkswagen Financial Services AG.
CoRR
Shayan Jawed, Mofassir ul Islam Arif, Ahmed Rashed, Kiran Madhusudhanan, Shereen Elsayed, Mohsan Jameel, Alexei Volk, Andre Hintsches, Marlies Kornfeld, Katrin Lange, Lars Schmidt-Thieme
2022 J jnl
CARCA: Context and Attribute-Aware Next-Item Recommendation via Cross-Attention.
CoRR
Ahmed Rashed, Shereen Elsayed, Lars Schmidt-Thieme
2022 J jnl
Collaborative experience between scientific software projects using Agile Scrum development.
Softw. Pract. Exp.
Amanda L. Baxter, Segev Y. BenZvi, Walter M. Bonivento, Adam Brazier, Michael Clark, Alexis Coleiro, David Collom, Marta Colomer-Molla, Bryce Cousins, Aliwen Delgado Orellana, Damien Dornic, Vladislav Ekimtcov, Shereen Elsayed, Andrea Gallo Rosso, Patrick Godwin, Spencer Griswold, Alec Habig, Remington Hill, Shunsaku Horiuchi, D. Andrew Howell, Margaret W. G. Johnson, Mario Juric, James P. Kneller, Abigail Kopec, Claudio Kopper, Vladimir Kulikovskiy, Mathieu Lamoureux, Rafael F. Lang, Shengchao Li, Massimiliano Lincetto, Lindy Lindstrom, Mark W. Linvill, Curtis McCully, Jost Migenda, Danny Milisavljevic, Spencer Nelson, Rita Novoseltseva, Erin O'Sullivan, Donald Petravick, Barry W. Pointon, Nirmal Raj, Andrew Renshaw, Janet Rumleskie, Tom Sonley, Ron Tapia, Jeffrey C. L. Tseng, Christopher D. Tunnell, Godefroy Vannoye, Carlo F. Vigorito, Clarence J. Virtue, Christopher Weaver, Kathryn E. Weil, Lindley Winslow, Rich Wolski, Xun-Jie Xu, Yiyang Xu
2022 A conf
Context and Attribute-Aware Sequential Recommendation via Cross-Attention.
RecSys
Ahmed Rashed, Shereen Elsayed, Lars Schmidt-Thieme
2022 J jnl
Deep Multi-Representation Model for Click-Through Rate Prediction.
CoRR
Shereen Elsayed, Lars Schmidt-Thieme
2022 J jnl
End-to-End Image-Based Fashion Recommendation.
CoRR
Shereen Elsayed, Lukas Brinkmeyer, Lars Schmidt-Thieme
2021 J jnl
Agile Scrum Development in an ad hoc Software Collaboration.
CoRR
Amanda L. Baxter, Segev Y. BenZvi, Walter M. Bonivento, Adam Brazier, Michael Clark, Alexis Coleiro, David Collom, Marta Colomer-Molla, Bryce Cousins, Aliwen Delgado Orellana, Damien Dornic, Vladislav Ekimtcov, Shereen Elsayed, Andrea Gallo Rosso, Patrick Godwin, Spencer Griswold, Alec Habig, Shunsaku Horiuchi, D. Andrew Howell, Margaret W. G. Johnson, Mario Juric, James P. Kneller, Abigail Kopec, Claudio Kopper, V. Kulikovskiy, Mathieu Lamoureux, Rafael F. Lang, Shengchao Li, Massimiliano Lincetto, W. Lindstrom, Mark W. Linvill, Curtis McCully, Jost Migenda, Danny Milisavljevic, Spencer Nelson, Rita Novoseltseva, Erin O'Sullivan, Donald Petravick, Barry W. Pointon, Nirmal Raj, Andrew Renshaw, Janet Rumleskie, Ron Tapia, Jeffrey C. L. Tseng, Christopher D. Tunnell, Carlo F. Vigorito, Clarence J. Virtue, Christopher Weaver, Lindley Winslow, Richard Wolski, Xun-Jie Xu, Yiyang Xu
2021 J jnl
Do We Really Need Deep Learning Models for Time Series Forecasting?
CoRR
Shereen Elsayed, Daniela Thyssens, Ahmed Rashed, Lars Schmidt-Thieme, Hadi Samer Jomaa
2020 — conf
Exploring the Influence of Data Aggregation in Parking Prediction.
DEXA Workshops
Shereen Elsayed, Daniela Thyssens, Shabanaz Chamurally, Arslan Tariq, Hadi Samer Jomaa