Canyam
AI summaries for academic research
Home
Preprint
Subscribe
Favorites
Tools
Analysis
Summary
Not logged in
Back
Journal Details
M
MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. APPLIED DATA SCIENCE TRACK AND DEMO TRACK, ECML PKDD 2025, PT X
IF
Papers
40
Citations
Related Insights
0
subscribe
Journal Papers
40
Related Insights
0
Journal Papers
40
Publication Date
Publication Date
IF
Citations
KCLNet: Physics-Informed Power Flow Prediction via Constraints Projections
MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. APPLIED DATA SCIENCE TRACK AND DEMO TRACK, ECML PKDD 2025, PT X
IF
0
2026-01-01
0
PRE
AI
Dogoulis, Pantelis; Tit, Karim; Cordy, Maxime
Share
Save
Enhancing Traffic Accident Classifications: Application of NLP Methods for City Safety
MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. APPLIED DATA SCIENCE TRACK AND DEMO TRACK, ECML PKDD 2025, PT X
IF
0
2026-01-01
0
PRE
AI
Oezeren, Enes; Ulbrich, Alexander; Filimon, Sascha; Ruegamer, David; Bender, Andreas
Share
Save
EXTREMUM: A Web-Based Tool to Generate and Explore Counterfactual Explanations on Tabular and Time-Series Data
MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. APPLIED DATA SCIENCE TRACK AND DEMO TRACK, ECML PKDD 2025, PT X
IF
0
2026-01-01
0
PRE
AI
Lakes, Athanasios; Quintero, Luis; Papapetrou, Panagiotis
Share
Save
Risk-Based Thresholding for Reliable Anomaly Detection in Concentrated Solar Power Plants
MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. APPLIED DATA SCIENCE TRACK AND DEMO TRACK, ECML PKDD 2025, PT X
IF
0
2026-01-01
0
PRE
AI
Estievenart, Yorick; Patra, Sukanya; Ben Taieb, Souhaib
Share
Save
Enhancing Dynamic Control of Inertial District Energy Networks Through a Physics-Informed State-Space Model
MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. APPLIED DATA SCIENCE TRACK AND DEMO TRACK, ECML PKDD 2025, PT X
IF
0
2026-01-01
0
PRE
AI
Boussaid, Taha; Rousset, Francois; Clausse, Marc; Scuturici, Vasile-Marian
Share
Save
Curriculum RL Meets Monte Carlo Planning: Optimization of a Real World Container Management Problem
MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. APPLIED DATA SCIENCE TRACK AND DEMO TRACK, ECML PKDD 2025, PT X
IF
0
2026-01-01
0
PRE
AI
Pendyala, Abhijeet; Glasmachers, Tobias
Share
Save
LLM GameLab: An Interactive Platform for Testing Large Language Models in Board Games
MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. APPLIED DATA SCIENCE TRACK AND DEMO TRACK, ECML PKDD 2025, PT X
IF
0
2026-01-01
0
PRE
AI
Morillo, Paulina; Terreros, Alex; Ferri, Cesar; Hernandez-Orallo, Jose
Share
Save
Go with the Flow: Leveraging Physics-Informed Gradients to Solve Real-World Problems in Water Distribution Systems
MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. APPLIED DATA SCIENCE TRACK AND DEMO TRACK, ECML PKDD 2025, PT X
IF
0
2026-01-01
0
OA
AI
Ashraf, Inaam; Strotherm, Janine; Hermes, Luca; Hammer, Barbara
Share
Save
Density-Aware Walks for Coordinated Campaign Detection
MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. APPLIED DATA SCIENCE TRACK AND DEMO TRACK, ECML PKDD 2025, PT X
IF
0
2026-01-01
0
PRE
AI
Gopalakrishnan, Atul Anand; Hossain, Jakir; Elmas, Tugrulcan; Sariyuce, Ahmet Erdem
Share
Save
Who is at Risk? Analyzing the Risk of Radicalization Among Reddit Users
MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. APPLIED DATA SCIENCE TRACK AND DEMO TRACK, ECML PKDD 2025, PT X
IF
0
2026-01-01
0
PRE
AI
Calikus, Ece; Morales, Gianmarco De Francisci; Gionis, Aristides
Share
Save
Urban Verticalization and Water Consumption: A Data-Driven Approach for Sao Paulo
MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. APPLIED DATA SCIENCE TRACK AND DEMO TRACK, ECML PKDD 2025, PT X
IF
0
2026-01-01
0
PRE
AI
Rezende, Arthur Hiratsuka; de Carvalho, Andre P. de L. F.
Share
Save
A Scalable Approach for Unified Large Events Models in Soccer
MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. APPLIED DATA SCIENCE TRACK AND DEMO TRACK, ECML PKDD 2025, PT X
IF
0
2026-01-01
0
PRE
AI
Mendes-Neves, Tiago; Meireles, Luis; Mendes-Moreira, Joao
Share
Save
Sparsifying Instance Segmentation Models for Efficient Vision-Based Industrial Recycling
MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. APPLIED DATA SCIENCE TRACK AND DEMO TRACK, ECML PKDD 2025, PT X
IF
0
2026-01-01
0
PRE
AI
Neubauer, Melanie; Ozdenizci, Ozan; Piater, Justus; Rueckert, Elmar
Share
Save
An LLM-Based Decision Support System for Strategic Decision-Making
MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. APPLIED DATA SCIENCE TRACK AND DEMO TRACK, ECML PKDD 2025, PT X
IF
0
2026-01-01
1
PRE
AI
Alkayyal, Majd; Malberg, Simon; Groh, Georg
Share
Save
Fairness is in the Details : Face Dataset Auditing
MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. APPLIED DATA SCIENCE TRACK AND DEMO TRACK, ECML PKDD 2025, PT X
IF
0
2026-01-01
0
PRE
AI
Lafargue, Valentin; Claeys, Emmanuelle; Loubes, Jean-Michel
Share
Save
Learning Topology Actions for Power Grid Control: A Graph-Based Soft-Label Imitation Learning Approach
MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. APPLIED DATA SCIENCE TRACK AND DEMO TRACK, ECML PKDD 2025, PT X
IF
0
2026-01-01
0
PRE
AI
Hassouna, Mohamed; Holzhueter, Clara; Lehna, Malte; de Jong, Matthijs; Viebahn, Jan; Sick, Bernhard; Scholz, Christoph
Share
Save
MASTFM: Meta-learning and Data Augmentation to Stress Test Forecasting Models
MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. APPLIED DATA SCIENCE TRACK AND DEMO TRACK, ECML PKDD 2025, PT X
IF
0
2026-01-01
0
PRE
AI
Inacio, Ricardo; Cerqueira, Vitor; Barandas, Marilia; Soares, Carlos
Share
Save
CESI: Sparse Input Spatial Interpolation for Heterogeneous and Noisy Hybrid Wireless Sensor Networks
MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. APPLIED DATA SCIENCE TRACK AND DEMO TRACK, ECML PKDD 2025, PT X
IF
0
2026-01-01
0
PRE
AI
Li, Chaofan; Riedel, Till; Beigl, Michael
Share
Save
Knowledge Distillation for Job Title Prediction and Project Recommendation in Open Source Communities
MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. APPLIED DATA SCIENCE TRACK AND DEMO TRACK, ECML PKDD 2025, PT X
IF
0
2026-01-01
0
PRE
AI
Liu, Xin; Su, Hang; Lu, Xuesong
Share
Save
Trajectory Imputation in Multi-agent Sports with Derivative-Accumulating Self-ensemble
MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. APPLIED DATA SCIENCE TRACK AND DEMO TRACK, ECML PKDD 2025, PT X
IF
0
2026-01-01
0
PRE
AI
Choi, Han-Jun; Kim, Hyunsung; Lee, Minho; Jeong, Minchul; Kim, Changjo; Yoon, Jinsung; Ko, Sang-Ki
Share
Save
.png){kind=icon}
.png){kind=icon}
Not logged in.png){kind=icon}
Not logged in.png){kind=icon}
.png){kind=icon}
.png){kind=icon}
.png){kind=icon}
