Haytham Assem

45 papers A* 1B 9C 1Misc 1Journal 10Unranked 22
YearRankTypeTitle / Venue / Authors
2025 J jnl
DROID: Dual Representation for Out-of-Scope Intent Detection.
CoRR
Wael Rashwan, Hossam M. Zawbaa, Sourav Dutta, Haytham Assem
2024 — conf
Enhancing Contextual Understanding in Large Language Models through Contrastive Decoding.
NAACL-HLT
Zheng Zhao, Emilio Monti, Jens Lehmann, Haytham Assem
2024 J jnl
Enhancing Contextual Understanding in Large Language Models through Contrastive Decoding.
CoRR
Zheng Zhao, Emilio Monti, Jens Lehmann, Haytham Assem
2024 — conf
Improved Out-of-Scope Intent Classification with Dual Encoding and Threshold-based Re-Classification.
LREC/COLING
Hossam M. Zawbaa, Wael Rashwan, Sourav Dutta, Haytham Assem
2024 J jnl
Improved Out-of-Scope Intent Classification with Dual Encoding and Threshold-based Re-Classification.
CoRR
Hossam M. Zawbaa, Wael Rashwan, Sourav Dutta, Haytham Assem
2023 — conf
Attending to Entity Class Attributes for Named Entity Recognition with Few-Shot Learning.
IntelliSys (3)
Raj Nath Patel, Sourav Dutta, Haytham Assem
2023 J jnl
Intent Classification by the Use of Automatically Generated Knowledge Graphs.
Inf.
Mihael Arcan, Sampritha H. Manjunath, Cécile Robin, Ghanshyam Verma, Devishree Pillai, Simon Sarkar, Sourav Dutta, Haytham Assem, John P. McCrae, Paul Buitelaar
2022 — conf
Aligned Weight Regularizers for Pruning Pretrained Neural Networks.
ACL (Findings)
James O'Neill, Sourav Dutta, Haytham Assem
2022 J jnl
Aligned Weight Regularizers for Pruning Pretrained Neural Networks.
CoRR
James O'Neill, Sourav Dutta, Haytham Assem
2022 — conf
Cage: A Hybrid Framework for Closed-Domain Conversational Agents.
ECML/PKDD (6)
Edward Burgin, Sourav Dutta, Haytham Assem, Raj Nath Patel
2022 — conf
Enhanced Sentence Meta-Embeddings for Textual Understanding.
ECIR (2)
Sourav Dutta, Haytham Assem
2022 B conf
Multi-Stage Framework with Refinement Based Point Set Registration for Unsupervised Bi-Lingual Word Alignment.
COLING
Silviu Vlad Oprea, Sourav Dutta, Haytham Assem
2022 — conf
Self-distilled Pruning of Deep Neural Networks.
ECML/PKDD (2)
James O'Neill, Sourav Dutta, Haytham Assem
2022 A* conf
Semantic Aware Answer Sentence Selection Using Self-Learning Based Domain Adaptation.
KDD
Rajdeep Sarkar, Sourav Dutta, Haytham Assem, Mihael Arcan, John P. McCrae
2021 — conf
Cross-lingual Sentence Embedding using Multi-Task Learning.
EMNLP (1)
Koustava Goswami, Sourav Dutta, Haytham Assem, Theodorus Fransen, John P. McCrae
2021 B conf
DTAFA: Decoupled Training Architecture for Efficient FAQ Retrieval.
SIGDIAL
Haytham Assem, Sourav Dutta, Edward Burgin
2021 J jnl
Deep Neural Compression Via Concurrent Pruning and Self-Distillation.
CoRR
James O'Neill, Sourav Dutta, Haytham Assem
2021 — conf
Efficient Multi-Lingual Sentence Classification Framework with Sentence Meta Encoders.
IEEE BigData
Raj Nath Patel, Edward Burgin, Haytham Assem, Sourav Dutta
2021 — conf
Mufin: Enriching Semantic Understanding of Sentence Embedding using Dual Tune Framework.
IEEE BigData
Koustava Goswami, Sourav Dutta, Haytham Assem
2021 — conf
Qasar: Self-Supervised Learning Framework for Extractive Question Answering.
IEEE BigData
Haytham Assem, Rajdeep Sarkar, Sourav Dutta
2021 J jnl
Sequence-to-Sequence Learning on Keywords for Efficient FAQ Retrieval.
CoRR
Sourav Dutta, Haytham Assem, Edward Burgin
2020 — conf
Classification of Cybercrime Indicators in Open Social Data.
SIMBig
Ihsan Ullah, Caoilfhionn Lane, Teodora Sandra Buda, Brett Drury, Marc Mellotte, Haytham Assem, Michael G. Madden
2020 J jnl
Unsupervised Word Translation Pairing using Refinement based Point Set Registration.
CoRR
Silviu Oprea, Sourav Dutta, Haytham Assem
2019 C conf
A Cloud-Based AI Framework for Machine Learning Orchestration: A "Driving or Not-Driving" Case-Study for Self-Driving Cars.
IV
Cristian Olariu, Haytham Assem, Juan Diego Ortega, Marcos Nieto
2019 — ed.
ECML PKDD 2018 Workshops - Nemesis 2018, UrbReas 2018, SoGood 2018, IWAISe 2018, and Green Data Mining 2018, Dublin, Ireland, September 10-14, 2018, Proceedings
Nemesis/UrbReas/SoGood/IWAISe/GDM@PKDD/ECML
Carlos Alzate, Anna Monreale, Haytham Assem, Albert Bifet, Teodora Sandra Buda, Bora Caglayan, Brett Drury, Eva García-Martín, Ricard Gavaldà, Stefan Kramer, Niklas Lavesson, Michael Madden, Ian M. Molloy, Maria-Irina Nicolae, Mathieu Sinn
2018 B conf
A Framework for Enterprise Social Network Assessment and Weak Ties Recommendation.
ASONAM
Faisal Ghaffar, Teodora Sandra Buda, Haytham Assem, Armita Afsharinejad, Neil Hurley
2018 — conf
Analysis of Machine Learning Techniques for Anomaly Detection in the Internet of Things.
LA-CCI
Shane Brady, Damien Magoni, John Murphy, Haytham Assem, A. Omar Portillo-Dominguez
2018 — conf
DeepAD: A Generic Framework Based on Deep Learning for Time Series Anomaly Detection.
PAKDD (1)
Teodora Sandra Buda, Bora Caglayan, Haytham Assem
2018 — conf
Practical Performance Degradation Mitigation Solution Using Anomaly Detection for Carrier-Grade Software Networks.
CSCN
Marius Corici, Teodora Sandra Buda, Ranjan Shrestha, Eleonora Cau, Taner Metin, Haytham Assem
2018 B conf
SCCD: Social Capital-Driven Career Development Framework.
ASONAM
Faisal Ghaffar, Teodora Sandra Buda, Haytham Assem, Armita Afsharinejad, Neil Hurley
2018 — conf
ST-DenNetFus: A New Deep Learning Approach for Network Demand Prediction.
ECML/PKDD (3)
Haytham Assem, Bora Caglayan, Teodora Sandra Buda, Declan O'Sullivan
2017 B conf
ADE: An ensemble approach for early Anomaly Detection.
IM
Teodora Sandra Buda, Haytham Assem, Lei Xu
2017 J jnl
RCMC: Recognizing Crowd-Mobility Patterns in Cities Based on Location Based Social Networks Data.
ACM Trans. Intell. Syst. Technol.
Haytham Assem, Teodora Sandra Buda, Declan O'Sullivan
2017 — conf
Urban Water Flow and Water Level Prediction Based on Deep Learning.
ECML/PKDD (3)
Haytham Assem, Salem Gharbia, Gabor Makrai, Paul Johnston, Laurence W. Gill, Francesco Pilla
2016 B conf
Can machine learning aid in delivering new use cases and scenarios in 5G?
NOMS
Teodora Sandra Buda, Haytham Assem, Lei Xu, Danny Raz, Udi Margolin, Elisha J. Rosensweig, Diego R. López, Marius Iulian Corici, Mikhail Smirnov, Robert Mullins, Olga Uryupina, Alberto Mozo, Bruno Ordozgoiti Rubio, Ángel Martín, Alaa Alloush, Pat O'Sullivan, Imen Grida Ben Yahia
2016 — conf
CogNet: A network management architecture featuring cognitive capabilities.
EuCNC
Lei Xu, Haytham Assem, Imen Grida Ben Yahia, Teodora Sandra Buda, Ángel Martín, Domenico Gallico, Matteo Biancani, Antonio Pastor, Pedro A. Aranda, Mikhail I. Smirnov, Danny Raz, Olga Uryupina, Alberto Mozo, Bruno Ordozgoiti Rubio, Marius Iulian Corici, Pat O'Sullivan, Robert Mullins
2016 — conf
Discovering New Socio-demographic Regional Patterns in Cities.
LBSN@SIGSPATIAL/GIS
Haytham Assem, Declan O'Sullivan
2016 — conf
Machine Learning for Autonomic Network Management in a Connected Cars Scenario.
Nets4Cars/Nets4Trains/Nets4Aircraft
Gorka Vélez, Marco Quartulli, Ángel Martín, Oihana Otaegui, Haytham Assem
2016 J jnl
Machine learning as a service for enabling Internet of Things and People.
Pers. Ubiquitous Comput.
Haytham Assem, Lei Xu, Teodora Sandra Buda, Declan O'Sullivan
2016 B conf
Spatio-Temporal Clustering Approach for Detecting Functional Regions in Cities.
ICTAI
Haytham Assem, Lei Xu, Teodora Sandra Buda, Declan O'Sullivan
2015 — conf
Towards Bridging the Gap between Machine Learning Researchers and Practitioners.
SmartCity
Haytham Assem, Declan O'Sullivan
2013 B conf
A generic algorithm for mid-call audio codec switching.
IM
Haytham Assem, Mohamed Adel, Brendan Jennings, David Malone, Jonathan Dunne, Pat O'Sullivan
2013 B conf
A new adaptive redundancy control algorithm for VoIP applications.
GLOBECOM
Haytham Assem, David Malone, Jonathan Dunne, Pat O'Sullivan
2013 — conf
Improved E-model for monitoring quality of multi-party VoIP communications.
GLOBECOM Workshops
Mohamed Adel, Haytham Assem, Brendan Jennings, David Malone, Jonathan Dunne, Pat O'Sullivan
2013 Misc conf
Monitoring VoIP call quality using improved simplified E-model.
ICNC
Haytham Assem, David Malone, Jonathan Dunne, Pat O'Sullivan